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Lee HJ, Kim HK, Kim BS, Han KD, Kwak S, Park CS, Rhee TM, Park JB, Lee H, Kim YJ. Sacubitril/valsartan and the risk of incident dementia in heart failure: a nationwide propensity-matched cohort study. Clin Res Cardiol 2024; 113:875-883. [PMID: 37906294 DOI: 10.1007/s00392-023-02322-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Accepted: 10/09/2023] [Indexed: 11/02/2023]
Abstract
BACKGROUND Sacubitril acts to inhibit neprilysin and as neprilysin is involved in amyloid-beta degradation in the central nervous system, and there is concern that sacubitril/valsartan may increase the risk of dementia. We aimed to compare the risk of incident dementia associated with sacubitril/valsartan and angiotensin II receptor blockers (ARBs). METHODS Patients with heart failure with reduced ejection fraction treated with either sacubitril/valsartan or ARB, identified from the Korean National Health Insurance Service database, were matched in a 1:2 ratio using propensity scores (6789 on sacubitril/valsartan and 13,578 on ARBs) and followed up for incident dementia. RESULTS During a mean follow-up of 2.5 years, 526 (2.6%) patients were newly diagnosed with dementia: Alzheimer dementia in 282, vascular dementia in 8, and other dementia in 236. There was no significant difference in the risk of overall dementia (hazard ratio [HR] 0.84, 95% confidence interval [CI] 0.70-1.01), Alzheimer dementia (HR 0.85, 95% CI 0.67-1.10), vascular dementia (HR 0.98, 95% CI 0.23-4.11), and all other dementias (HR 0.81, 95% CI 0.62-1.07) between sacubitril/valsartan users and ARB users. These results were consistent regardless of initial sacubitril/valsartan dose and subgroups including old age, previous mild cognitive impairment, previous stroke, and concomitant antiplatelet or anticoagulation. Sensitivity analysis with a 1-year lag period for dementia assessment confirmed the main analysis. Meanwhile, risk of incident stroke was lower in sacubitril/valsartan users compared to ARBs users. CONCLUSIONS In a nationwide propensity-matched cohort of patients with heart failure, sacubitril/valsartan was not associated with an increased risk of incident dementia compared to ARBs.
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Affiliation(s)
- Hyun-Jung Lee
- Section of Cardiovascular Imaging, Division of Cardiology, Department of Internal Medicine, Cardiovascular Center, Seoul National University Hospital, Seoul National University College of Medicine, Daehak-ro, Jongno-gu, Seoul, 10103080, Korea
- Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, 50-1, Yonsei-ro, Seo-Daemun-gu, Seoul, Korea
| | - Hyung-Kwan Kim
- Section of Cardiovascular Imaging, Division of Cardiology, Department of Internal Medicine, Cardiovascular Center, Seoul National University Hospital, Seoul National University College of Medicine, Daehak-ro, Jongno-gu, Seoul, 10103080, Korea.
| | - Bong-Seong Kim
- Department of Statistics and Actuarial Science, Soongsil University, 369, Sangdo-ro, Dongjak-gu, Seoul, Korea
| | - Kyung-Do Han
- Department of Statistics and Actuarial Science, Soongsil University, 369, Sangdo-ro, Dongjak-gu, Seoul, Korea
| | - Soongu Kwak
- Section of Cardiovascular Imaging, Division of Cardiology, Department of Internal Medicine, Cardiovascular Center, Seoul National University Hospital, Seoul National University College of Medicine, Daehak-ro, Jongno-gu, Seoul, 10103080, Korea
| | - Chan Soon Park
- Section of Cardiovascular Imaging, Division of Cardiology, Department of Internal Medicine, Cardiovascular Center, Seoul National University Hospital, Seoul National University College of Medicine, Daehak-ro, Jongno-gu, Seoul, 10103080, Korea
| | - Tae-Min Rhee
- Division of Cardiology, Department of Internal Medicine, Seoul National University Hospital Healthcare System Gangnam Center, 152, Teheran-ro, Gangnam-gu, Seoul, Korea
| | - Jun-Bean Park
- Section of Cardiovascular Imaging, Division of Cardiology, Department of Internal Medicine, Cardiovascular Center, Seoul National University Hospital, Seoul National University College of Medicine, Daehak-ro, Jongno-gu, Seoul, 10103080, Korea
| | - Heesun Lee
- Division of Cardiology, Department of Internal Medicine, Seoul National University Hospital Healthcare System Gangnam Center, 152, Teheran-ro, Gangnam-gu, Seoul, Korea
| | - Yong-Jin Kim
- Section of Cardiovascular Imaging, Division of Cardiology, Department of Internal Medicine, Cardiovascular Center, Seoul National University Hospital, Seoul National University College of Medicine, Daehak-ro, Jongno-gu, Seoul, 10103080, Korea
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Chen S, Chen X, Hou X, Fang H, Liu GG, Yan LL. Temporal trends and disparities of population attributable fractions of modifiable risk factors for dementia in China: a time-series study of the China health and retirement longitudinal study (2011-2018). THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2024; 47:101106. [PMID: 38872868 PMCID: PMC11170192 DOI: 10.1016/j.lanwpc.2024.101106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 04/06/2024] [Accepted: 05/16/2024] [Indexed: 06/15/2024]
Abstract
Background In China, dementia poses a significant public health challenge, exacerbated by an ageing population and lifestyle changes. This study assesses the temporal trends and disparities in the population-attributable fractions (PAFs) of modifiable risk factors (MRFs) for new-onset dementia from 2011 to 2018. Methods We used data from the China Health and Retirement Longitudinal Study (CHARLS), covering 75,214 person-waves. We calculated PAFs for 12 MRFs identified by the Lancet Commission (including six early-to mid-life factors and six late-life factors). We also determined the individual weighted PAFs (IW-PAFs) for each risk factor. Subgroup analyses were conducted by sex, socio-economic status (SES), and geographic location. Findings The overall PAF for dementia MRFs had a slight increase from 45.36% in 2011 to 52.46% in 2018, yet this change wasn't statistically significant. During 2011-2018, the most contributing modifiable risk was low education (average IW-PAF 11.3%), followed by depression, hypertension, smoking, and physical inactivity. Over the eight-year period, IW-PAFs for risk factors like low education, hypertension, hearing loss, smoking, and air pollution showed decreasing trends, while others increased, but none of these changes were statistically significant. Sex-specific analysis revealed higher IW-PAFs for traumatic brain injury (TBI), social isolation, and depression in women, and for alcohol and smoking in men. The decline in IW-PAF for men's hearing loss were significant. Lower-income individuals had higher overall MRF PAFs, largely due to later-life factors like depression. Early-life factors, such as TBI and low education, also contributed to SES disparities. Rural areas reported higher overall MRF PAFs, driven by factors like depression, low education, and hearing loss. The study also found that the gap in MRF PAFs across different SES groups or regions either remained constant or increased over the study period. Interpretation The study reveals a slight but non-significant increase in dementia's MRF PAF in China, underscoring the persistent relevance of these risk factors. The findings highlight the need for targeted public health strategies, considering the demographic and regional differences, to effectively tackle and reduce dementia risk in China's diverse population. Funding This work was supported by the PKU Young Scholarship in Global Health and Development.
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Affiliation(s)
- Shanquan Chen
- International Centre for Evidence in Disability, London School of Hygiene & Tropical Medicine, London WC1E 7HT, United Kingdom
- Institute for Global Health and Development, Peking University, Beijing, China
| | - Xi Chen
- School of Public Health, Yale University, New Haven, CT, United States
| | | | - Hai Fang
- Institute for Global Health and Development, Peking University, Beijing, China
- China Center for Health Development Studies, Peking University, Beijing, China
| | - Gordon G. Liu
- Institute for Global Health and Development, Peking University, Beijing, China
| | - Lijing L. Yan
- Institute for Global Health and Development, Peking University, Beijing, China
- Global Health Research Center, Duke Kunshan University, Jiangsu, China
- School of Public Health, Wuhan University, Wuhan, China
- Duke Global Health Institute, Duke University, Durham, NC, United States
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
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Zhang Y, Gao D, Gao Y, Li J, Li C, Pan Y, Wang Y, Zhang J, Zheng F, Xie W. Gestational diabetes mellitus is associated with greater incidence of dementia during long-term post-partum follow-up. J Intern Med 2024; 295:774-784. [PMID: 38629919 DOI: 10.1111/joim.13787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/15/2024]
Abstract
BACKGROUND The impact of gestational diabetes mellitus (GDM) on incident dementia is unknown. Our aim was to evaluate the relationship between GDM and all-cause dementia and the mediating effects of chronic diseases on this relationship. METHODS This prospective cohort study included women from the UK Biobank who were grouped based on GDM history. Multivariate Cox proportional hazard models were used to explore the associations between GDM and dementia. We further analysed the mediating effects of chronic diseases on this relationship and the interactions of covariates. RESULTS A total of 1292 women with and 204,171 women without a history of GDM were included. During a median follow-up period of 45 years after first birth, 2921 women were diagnosed with dementia. Women with a GDM history had a 67% increased risk of incident dementia (hazard ratio 1.67, 95% confidence interval: 1.03-2.69) compared with those without a GDM history. According to mediation analyses, type 2 diabetes, coronary heart disease, chronic kidney disease and comorbidities (diagnosed with any two of the three diseases) explained 34.5%, 8.4%, 5.2% and 18.8% of the mediating effect on the relationship. Subgroup analyses revealed that physical activity modified the association between GDM history and dementia (p for interaction = 0.030). Among physically inactive women, GDM was significantly associated with incident dementia; however, this association was not observed among physically active women. CONCLUSIONS A history of GDM was associated with a greater risk of incident dementia. Type 2 diabetes partially mediated this relationship. Strategies for dementia prevention might be considered for women with a history of GDM.
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Affiliation(s)
- Yang Zhang
- Department of Endocrinology, Peking University First Hospital, Beijing, China
| | - Darui Gao
- Heart and Vascular Health Research Center, Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Ying Gao
- Department of Endocrinology, Peking University First Hospital, Beijing, China
| | - Jing Li
- School of Nursing, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Chenglong Li
- Heart and Vascular Health Research Center, Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Yang Pan
- School of Nursing, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Yongqian Wang
- Heart and Vascular Health Research Center, Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Junqing Zhang
- Department of Endocrinology, Peking University First Hospital, Beijing, China
| | - Fanfan Zheng
- School of Nursing, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Wuxiang Xie
- Heart and Vascular Health Research Center, Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
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Li H, Wang M, Qian F, Wu Z, Liu W, Wang A, Guo X. Association between untreated and treated blood pressure levels and cognitive decline in community-dwelling middle-aged and older adults in China: a longitudinal study. Alzheimers Res Ther 2024; 16:104. [PMID: 38730505 PMCID: PMC11083800 DOI: 10.1186/s13195-024-01467-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 04/25/2024] [Indexed: 05/13/2024]
Abstract
BACKGROUND Optimal blood pressure (BP) levels to reduce the long-term risk of cognitive decline remains controversial. We aimed to investigate the association between BP and anti-hypertensive treatment status with cognitive decline in older adults. METHODS This study used data from the China Health and Retirement Longitudinal Study. Cognitive function was assessed at year 2011, 2013, 2015, and 2018. Global cognitive Z-score was calculated as the average score of episodic memory and mental intactness. BP were measured at the first and second wave. Pulse pressure (PP) was calculated as systolic BP (SBP) minus diastolic BP. Cumulative BP was calculated as the area under the curve using BP measurements from 2011 to 2013. Linear mixed models were used to assess the longitudinal association between BP-related measurements and cognitive decline. RESULTS We included 11,671 participants (47.3% men and mean age 58.6 years). Individual with BP > 140/90 mm Hg or taking anti-hypertensive medication were independently associated with accelerated cognitive decline (β=-0.014, 95% CI: -0.020 to -0.007). Individuals with anti-hypertensive medication use, but with controlled SBP to less than 120 mm Hg did not have a significantly increased risk of cognitive decline compared with normotension (β=-0.003, 95% CI: -0.021 to 0.014). Individuals on anti-hypertensive treatment with PP of more than 70 mm Hg had a significantly higher risk of cognitive decline (β=-0.033, 95% CI: -0.045 to -0.020). Regardless of anti-hypertensive treatment status, both elevated baseline and cumulative SBP and PP were found to be independently associated with accelerated cognitive decline. CONCLUSIONS Cumulatively elevated SBP, PP and uncontrolled BP were associated with subsequent cognitive decline. Effectively controlling BP with anti-hypertensive treatment may be able to preserve cognitive decline in older adults.
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Affiliation(s)
- Haibin Li
- Department of Cardiac Surgery, Beijing Chaoyang Hospital, Capital Medical University, No. 8 Gongren Tiyuchang Nanlu, Chaoyang District, 100020, Beijing, China.
- Heart Center and Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
| | - Man Wang
- Department of Cardiology, Cardiovascular Center, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Frank Qian
- Section of Cardiovascular Medicine, Boston Medical Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Zhiyuan Wu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Weida Liu
- State Key Laboratory for Complex, Severe, and Rare Diseases, Peking Union Medical College Hospital, Beijing, China
| | - Anxin Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Beijing Tiantan Hospital, China National Clinical Research Center for Neurological Diseases, Capital Medical University, Beijing, China
| | - Xiuhua Guo
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
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Guo X, Sun R, Cui X, Liu Y, Yang Y, Lin R, Yang H, Wu J, Xu J, Peng Y, Zheng X, Qin G, Chen J. Age-Specific Association Between Visit-to-Visit Blood Pressure Variability and Hearing Loss: A Population-Based Cohort Study. Innov Aging 2024; 8:igae047. [PMID: 38854854 PMCID: PMC11154138 DOI: 10.1093/geroni/igae047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Indexed: 06/11/2024] Open
Abstract
Background and Objectives Hearing loss is common and undertreated, and the impact of blood pressure variability (BPV) on the development of hearing loss remains unclear. We aimed to examine the age-specific association between visit-to-visit BPV and hearing loss. Research Design and Methods This nationally representative cohort study included 3,939 adults over 50 years from the Health and Retirement Study in the United States. Variabilities of systolic blood pressure (SBP) and diastolic blood pressure (DBP) were assessed by standard deviation (SD), coefficient of variation, and variability independent of the mean (VIM), using SBP and DBP from 3 visits. Hearing loss was assessed by self-rated questions. Cox proportional risk models were used to evaluate age-specific associations (50-64, 65-79, and ≥80 years) between BPV and hearing loss. The generalized additive Cox models were further used to visualize the combined effect of age and BPV. Results During the follow-up up to 7.0 years, 700 participants developed hearing loss. Among people aged under 65 years, we observed a 36% increased risk of hearing loss with per-SD increment in VIM of SBP (hazard ratio [HR] per SD 1.36, 95% confidence interval [CI] 1.13-1.63) and a slightly significant association between VIM of DBP (HR per SD 1.21, 95% CI 1.01-1.45) and hearing loss. We did not observe significant associations among groups aged over 65 years (p > .05). The generalized additive Cox models also showed younger participants had stronger associations between BPV and hearing loss. Discussion and Implications Higher visit-to-visit variabilities of SBP were associated with an increased risk of hearing loss in middle-aged adults (50-65 years). Intervention in early BPV may help decrease hearing loss in adults aged over 50 years.
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Affiliation(s)
- Xinyue Guo
- Department of Biostatistics, National Health Commission Key Laboratory of Health Technology Assessment, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China
| | - Renjian Sun
- Department of Health Management, Seventh People’s Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xiaorui Cui
- Department of Biostatistics, National Health Commission Key Laboratory of Health Technology Assessment, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China
| | - Yahang Liu
- Department of Biostatistics, National Health Commission Key Laboratory of Health Technology Assessment, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China
| | - Yating Yang
- Department of Biostatistics, National Health Commission Key Laboratory of Health Technology Assessment, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China
| | - Ruilang Lin
- Department of Biostatistics, National Health Commission Key Laboratory of Health Technology Assessment, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China
| | - Hui Yang
- Department of Biostatistics, National Health Commission Key Laboratory of Health Technology Assessment, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China
| | - Jingyi Wu
- Department of Biostatistics, National Health Commission Key Laboratory of Health Technology Assessment, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China
| | - Jiaqin Xu
- Department of Biostatistics, National Health Commission Key Laboratory of Health Technology Assessment, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China
| | - Yuwei Peng
- Department of Biostatistics, National Health Commission Key Laboratory of Health Technology Assessment, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China
| | - Xueying Zheng
- Department of Biostatistics, National Health Commission Key Laboratory of Health Technology Assessment, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China
| | - Guoyou Qin
- Department of Biostatistics, National Health Commission Key Laboratory of Health Technology Assessment, Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China
- Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China
| | - Jiaohua Chen
- Department of Health Management, Seventh People’s Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China
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Ishikawa J, Toba A, Futami S, Saito Y, Tamura Y, Araki A, Harada K. Association of pulse pressure and mean blood pressure to frailty, sarcopenia, and cognitive dysfunction in elderly outpatients with history of hypertension. Hypertens Res 2024:10.1038/s41440-024-01684-w. [PMID: 38671218 DOI: 10.1038/s41440-024-01684-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 04/01/2024] [Accepted: 04/02/2024] [Indexed: 04/28/2024]
Abstract
This study aimed to evaluate the relationship between pulse pressure (PP) and sarcopenia, frailty, and cognitive function in elderly patients with hypertension. We evaluated 435 elderly patients with a history of hypertension who visited the frail outpatient clinic between July 2015 and October 2021. Data at the 1-, 2-, and 3-year follow-ups were available for 222, 177, and 164 patients, respectively. Sarcopenia, frailty, and cognitive function, including Mini-Mental State Examination (MMSE) scores, were evaluated. The patients' mean age was 79.2 ± 6.3 years (male, 34.9%). PP and mean blood pressure (BP) were 60.1 ± 13.6 mmHg and 94.1 ± 13.0 mmHg, respectively. At baseline, lower PP was associated with probable dementia (MMSE score ≤23 points) (OR = 0.960 per 1 mmHg increase; 95% CI, 0.933-0.989; P = 0.006) in the model adjusted for conventional confounding factors and comorbidities, whereas higher PP was associated with low handgrip strength (OR = 1.018 per 1 mmHg increase; 95% CI, 1.001-1.036; P = 0.041). In multivariate-adjusted logistic regression analysis of patients with preserved handgrip strength at baseline, reductions in PP (OR = 0.844; 95% CI, 0.731-0.974; P = 0.020) and mean BP (OR = 0.861; 95% CI, 0.758-0.979; P = 0.022) were significantly associated with the incidence of low handgrip strength at 3 years. In conclusion, a higher PP induced by increased arterial stiffness was associated with lower handgrip strength, whereas a lower PP was associated with probable dementia. Reduced PP was associated with decreased handgrip strength after three years.
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Affiliation(s)
- Joji Ishikawa
- Department of Cardiology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan.
| | - Ayumi Toba
- Department of Cardiology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan
| | - Shutaro Futami
- Department of Cardiology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan
| | - Yoshihiro Saito
- Department of Cardiology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan
| | - Yoshiaki Tamura
- Department of Diabetes, Metabolism, and Endocrinology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan
| | - Atsushi Araki
- Department of Diabetes, Metabolism, and Endocrinology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan
| | - Kazumasa Harada
- Department of Cardiology, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan
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Zhang L, Wang W, Peng Y, He G, Ji R, Lei L, Li J, Pu B, Liu Y, Yu Y, Zhang H. Associations of cumulative depressive symptoms within 1-year of discharge with subsequent mortality among patients hospitalized for acute heart failure: Findings from The China PEACE Prospective Heart Failure Study. J Affect Disord 2024; 351:299-308. [PMID: 38290578 DOI: 10.1016/j.jad.2024.01.245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Revised: 01/17/2024] [Accepted: 01/26/2024] [Indexed: 02/01/2024]
Abstract
BACKGROUND To examine the associations between cumulative depressive symptoms and subsequent mortality among patients hospitalized for acute hear failure (AHF). METHODS By using data from a prospective cohort study of patients with HF, depressive symptoms were measured by using Patient Health Questionnaire-2 (PHQ-2) at admission, 1-and 12-month after discharge. Cumulative depressive symptoms were interpreted by cumulative PHQ-2 score and cumulative times of depressive symptoms. Outcomes included subsequent 3-year all-cause and cardiovascular mortality. RESULTS We included 2347 patients with the median follow-up of 4.4 (interquartile range [IQR]: 4.0-5.0) years. Tertile 3 of cumulative PHQ-2 score had the highest risk of all-cause (hazard ratio [HR]: 1.47, 95 % confidence interval [CI]: 1.21-1.78) and cardiovascular mortality (HR: 1.51, 95 % CI: 1.21-1.89) compared with Tertile 1; patients with≥2 times of depressive symptoms had the highest risk of all-cause (HR: 1.62, 95 % CI: 1.31-2.00) and cardiovascular mortality (HR: 1.60, 95 % CI: 1.25-2.05) compared with patients without any depressive symptom. Cumulative PHQ-2 score provided the highest level of incremental prognostic ability in predicting the risk of all-cause (C-statistics: 0.64, 95 % CI: 0.62-0.66) and cardiovascular mortality (C-statistics: 0.65, 95 % CI: 0.62-0.67) on the basis of Get With The Guidelines-Heart Failure score. CONCLUSION Cumulative depressive symptoms were associated with the increased risk of subsequent mortality and provided incremental prognostic ability for the outcomes among patients with HF. Repeated depressive symptom measurements could be helpful to monitor long-term depressive symptoms, identify targeted patients and perform psychological interventions and social support to improve clinical outcomes among patients with AHF.
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Affiliation(s)
- Lihua Zhang
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wei Wang
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yue Peng
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Guangda He
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Runqing Ji
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lubi Lei
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jingkuo Li
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Boxuan Pu
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yanchen Liu
- National Clinical Research Center for Cardiovascular Disease, Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, Guangdong, China
| | - Yanwu Yu
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Haibo Zhang
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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Puteikis K, Ažukaitis K, Dadurkevičienė D, Simanauskas K, Šileikienė V, Jankauskienė A, Mameniškienė R. Primary Arterial Hypertension Associated with Cognitive Dysfunction in Young Adults: Results from a Cross-Sectional Controlled Study. Behav Sci (Basel) 2024; 14:321. [PMID: 38667117 PMCID: PMC11047524 DOI: 10.3390/bs14040321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Revised: 04/04/2024] [Accepted: 04/09/2024] [Indexed: 04/29/2024] Open
Abstract
Despite evidence of primary hypertension (PH)-associated cognitive dysfunction in pediatric, middle-aged, and older adult populations, respective data in young adults remains scarce. We aimed to define differences in cognitive performance between individuals with PH and healthy controls in early adulthood. A convenience sample of young adults (age 18-45 years) with PH and their healthy sex, age, education, and household income matched counterparts were cross-sectionally tested for verbal fluency, verbal memory, general intelligence, reaction speed, attention, visual memory, and executive functioning. Between-group differences were determined using Student's t and Mann-Whitney U tests. Sensitivity analysis was performed by adjusting for body mass index (BMI) in analysis of covariance (ANCOVA) and regression models. Thirty-three adults with PH (22, 66.7% male, median age 38.8, interquartile range (IQR) = 33.2-41.6 years) and twenty-two healthy controls (9, 40.9% male, median age 36.1, IQR = 27.5-39.8 years) completed the neuropsychological assessment. Participants with PH performed worse on computerized tasks of reaction time (median response time (Z = -2.019, p = 0.044), median time for release of response button (Z = -2.509, p = 0.012)) and sustained attention (signal detection measure, RVPA (t = 2.373, p = 0.021), false alarms ÷ (false alarms + correct rejections), RVPPFA (Z = -2.052, p = 0.040)). The group variable was not a statistically significant predictor of performance in these domains after adjustment for BMI (p > 0.05). In regression analyses, high office systolic blood pressure (oSBP) was independently associated with poor sustained attention (βSBP(st.) = -0.283, multiple R2 = 0.252 (RVPA), βSBP(st.) = 0.551, multiple R2 = 0.386 (RVPPFA)). Young adults with PH were found to perform worse in tasks of response speed and sustained attention. While the difference between neuropsychological evaluation results in PH and control groups was confounded by BMI, oSBP measures were independently related to sustained attention. The selectivity of PH-associated cognitive profile in young adults has to be confirmed in larger trials.
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Affiliation(s)
- Kristijonas Puteikis
- Faculty of Medicine, Vilnius University, 03101 Vilnius, Lithuania
- Vilnius University Hospital Santaros Klinikos, 08406 Vilnius, Lithuania
| | - Karolis Ažukaitis
- Faculty of Medicine, Vilnius University, 03101 Vilnius, Lithuania
- Vilnius University Hospital Santaros Klinikos, 08406 Vilnius, Lithuania
| | | | - Kazys Simanauskas
- Faculty of Medicine, Vilnius University, 03101 Vilnius, Lithuania
- Vilnius University Hospital Santaros Klinikos, 08406 Vilnius, Lithuania
| | - Vaida Šileikienė
- Vilnius University Hospital Santaros Klinikos, 08406 Vilnius, Lithuania
| | - Augustina Jankauskienė
- Faculty of Medicine, Vilnius University, 03101 Vilnius, Lithuania
- Vilnius University Hospital Santaros Klinikos, 08406 Vilnius, Lithuania
| | - Rūta Mameniškienė
- Faculty of Medicine, Vilnius University, 03101 Vilnius, Lithuania
- Vilnius University Hospital Santaros Klinikos, 08406 Vilnius, Lithuania
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9
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Wu M, Lu C, Chen F, Fan Y, Li G, Zhou L. Age of hypertension onset and cognitive function in the elderly: an observational study from the NHANES 2011-2014. Eur Geriatr Med 2024; 15:561-570. [PMID: 38231294 DOI: 10.1007/s41999-023-00920-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 12/12/2023] [Indexed: 01/18/2024]
Abstract
PURPOSE This study aims to evaluate the association between age of hypertension onset and cognitive function in a representative sample of US older adults. METHODS We assessed 2334 elderly adults (including 1655 hypertensive patients) who participated in the National Health and Nutrition Examination Survey 2011-2014. We used the age when the participants were first informed by the doctor that they had hypertension or were first clinically diagnosed with hypertension as the age of onset of hypertension. The Digit Symbol Substitution test (DSST), the Animal Fluency test, the Consortium to Establish a Registry for Alzheimer's disease (CERAD), and a composite-z score calculated by summing z-scores from these three individual tests, were used to assess cognitive function. RESULTS Participants with hypertension onset age < 35 years (early onset hypertension) had the worst performance in almost all cognitive tests, followed by those with onset age ≥ 65 years. Compared with those without hypertension, early onset hypertension was associated with - 4.15 (95% CI - 6.63, - 1.68), - 1.10 (95% CI - 2.08, - 0.12), - 0.75 (95% CI - 1.91, 0.42), and - 0.56 (95% CI - 0.94, - 0.19) scores for DSST, animal fluency test, CERAD, and composite z-score. Participants with early onset hypertension (onset age < 35 years) had higher odds for cognitive decline defined by DSST (OR: 3.28, 95% CI 1.94, 5.54) and composite z-score (OR: 1.77, 95% CI 1.07, 2.92). CONCLUSIONS Early onset hypertension was associated with the worst performance in cognitive function and an increased odds of cognitive decline in the elderly.
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Affiliation(s)
- Min Wu
- Department of Gastroenterology and Hepatology, The Sixth People's Hospital of Chengdu, Chengdu, China
| | - Cong Lu
- Institute of Cardiovascular Diseases and Department of Cardiology, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610072, China
| | - Fuli Chen
- Institute of Cardiovascular Diseases and Department of Cardiology, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610072, China
| | - Yameng Fan
- School of Public Health, Xi'an Medical University, Xi'an, China
| | - Gang Li
- Institute of Cardiovascular Diseases and Department of Cardiology, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610072, China.
| | - Long Zhou
- Institute of Cardiovascular Diseases and Department of Cardiology, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610072, China.
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10
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Yang R, Jiang H, Xing Z, Ding H, Yin Z, Fu L, Tai S. Cumulative blood pressure predicts risk of stroke in individuals with type 2 diabetes. Diabetes Metab Syndr 2024; 18:102988. [PMID: 38513321 DOI: 10.1016/j.dsx.2024.102988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 02/06/2024] [Accepted: 03/14/2024] [Indexed: 03/23/2024]
Abstract
AIMS To determine whether cumulative blood pressure (BP) could predict stroke in individuals with type 2 diabetes (T2D). METHODS BP levels at baseline and the initial three visits were obtained from individuals participating in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial who had not experienced a stroke. Cumulative elevations in BP were assessed by adding the weighted mean BP values at various time intervals. The association of cumulative BP with stroke was evaluated by a multivariate-adjusted Cox proportional hazard model analysis. RESULTS Overall, 8282 participants were included (62.10% males and 37.90% females; mean age, 62.73 years). With a median follow-up period of 6.36 years, 324 (3.91%) and 305 (3.68%) patients had any and nonfatal stroke events, respectively. Only baseline systolic BP (SBP) independently predicted any stroke after adjustment for potential confounders, whereas cumulative SBP and pulse pressure independently predicted elevated stroke events. A strong dose-response relationship between cumulative BP and stroke was identified, and conventional risk factors combined with cumulative SBP improved prediction efficiency. CONCLUSION Cumulative SBP independently predicts stroke in individuals with T2D and provides an incremental predictive value for stroke compared with baseline BP assessments. TRIAL REGISTRATION URL: http://www. CLINICALTRIALS gov. Unique identifier: NCT00000620).
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Affiliation(s)
- Rukai Yang
- Department of Cardiology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Hejun Jiang
- Department of Cardiology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Zhenhua Xing
- Department of Cardiology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Huiqing Ding
- Department of Cardiology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Zhiyi Yin
- Department of Blood Transfusion, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Liyao Fu
- Department of Blood Transfusion, The Second Xiangya Hospital of Central South University, Changsha, China.
| | - Shi Tai
- Department of Cardiology, The Second Xiangya Hospital of Central South University, Changsha, China.
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11
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Aravena JM, Chen X, Levy BR. Association between experiencing low healthcare quality and developing dementia. J Am Geriatr Soc 2024. [PMID: 38415796 DOI: 10.1111/jgs.18842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Revised: 01/12/2024] [Accepted: 02/08/2024] [Indexed: 02/29/2024]
Abstract
BACKGROUND Low healthcare quality has been found to predict the development of a number of illnesses in older adults. However, it has not been investigated as a determinant of dementia. Thus, the goal of this study was to assess whether experiencing low healthcare quality is associated with developing dementia in people aged 60 and older. METHODS Participants in the Health and Retirement Study, without dementia and aged 60 and older at baseline, were followed from 2006 to 2019. Experiencing low healthcare quality was assessed at baseline through questions about healthcare discrimination and dissatisfaction with healthcare services. The outcome, development of new cases of dementia, was determined through physician diagnosis or a cognition score compatible with dementia (assessed by the Telephone Interview for Cognitive Status). Cox regression was used to estimate the hazard ratio (HR) of dementia, adjusting for participants' demographic, health, and socioeconomic factors. RESULTS Among the 3795 participants included in the cohort, 700 developed dementia. Experiencing low healthcare quality was associated with increased dementia risk over 12 years (unadjusted HR: 1.68, 95% CI: 1.27-2.21, p-value <0.001; fully adjusted HR: 1.50, 95% CI: 1.12-2.01, p-value: 0.006). Healthcare discrimination and dissatisfaction with the healthcare quality received were independently associated with increased dementia risk. CONCLUSIONS As predicted, experiencing low healthcare quality was associated with greater dementia risk. To date, most measures to reduce dementia have focused on individual-level behaviors. Our findings suggest that implementing structural changes to improve healthcare quality delivery for older persons could reduce dementia prevalence.
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Affiliation(s)
- José M Aravena
- Department of Social & Behavioral Sciences, School of Public Health, Yale University, New Haven, Connecticut, USA
- Instituto de Investigación y Postgrado, Facultad de Ciencias de la Salud, Universidad Central de Chile, Santiago, Chile
| | - Xi Chen
- Department of Health Policy and Management, School of Public Health, Yale University, New Haven, Connecticut, USA
| | - Becca R Levy
- Department of Social & Behavioral Sciences, School of Public Health, Yale University, New Haven, Connecticut, USA
- Department of Psychology, Yale University, New Haven, Connecticut, USA
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12
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Li Y, Tang Y, Lu J, Wu H, Ren L. The dilution effect of healthy lifestyles on the risk of cognitive function attributed to socioeconomic status among Chinese older adults: A national wide prospective cohort study. J Glob Health 2024; 14:04010. [PMID: 38304974 PMCID: PMC10835516 DOI: 10.7189/jogh-14-04010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2024] Open
Abstract
Background Lower socioeconomic status (SES) is a risk factor for poor cognitive function, while a healthy lifestyle is associated with better cognitive function. We examined the complex relationship between SES and a healthy lifestyle and cognitive function among older Chinese adults. Methods We used a national prospective cohort of the Chinese Longitudinal Healthy Longevity Survey (CLHLS) from 2008-18, aged 65 years and older with normal cognition at baseline. Participants were categorised into the favourable group if they had four to six healthy lifestyle factors and the unfavourable group for zero to three factors. SES was classified as higher and lower by assessing the socioeconomic vulnerability index (SEVI) with six components. Cognitive function was measured using the Mini-Mental State Examination (MMSE) scores and the standardised Z-scores. We applied the linear mixed effects and time-dependent Cox regression models to explore associations and further stratified the analysis by healthy lifestyles. Results A total of 6851 participants were included (the mean age was 80.87, 43.44% had a favourable lifestyle, and 49.29% had higher SES). Over the 10-year follow-up period, SES status and lifestyle profiles significantly affected the decline in the standardised Z-scores (P < 0.05). The higher SES group with favourable lifestyles exhibited a slower cognitive decline than those with lower SES (by 0.031 points per year, P < 0.05). The association was not observed in those in the unfavourable group (0.010 points per year, P > 0.05). During a follow-up, 25.06% of participants developed cognitive impairment (MMSE<18). We also observed a significant interaction between SES and healthy lifestyles (P < 0.05), with the corresponding associations of SES being more pronounced among participants with unfavourable lifestyles (hazard ratio (HR) = 0.821; 95% confidence interval (CI) = 0.701-0.960) than those with favourable lifestyles (HR = 1.006; 95% CI = 0.844-1.200). Conclusions A healthy lifestyle may attenuate the adverse impacts of lower SES on cognitive function among older adults. This study might provide important information for protecting cognitive function, especially in low- and middle-income countries.
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Affiliation(s)
- Yao Li
- Clinical Centre for Intelligent Rehabilitation Research, Shanghai YangZhi Rehabilitation Hospital, Shanghai Sunshine Rehabilitation Centre, School of Medicine, Tongji University, Shanghai, China
| | - Yuhong Tang
- Clinical Centre for Intelligent Rehabilitation Research, Shanghai YangZhi Rehabilitation Hospital, Shanghai Sunshine Rehabilitation Centre, School of Medicine, Tongji University, Shanghai, China
| | - Jiaping Lu
- Department of Endocrinology, Qingpu Branch of Zhongshan Hospital, Fudan University, Shanghai, China
| | - Hengjing Wu
- Clinical Centre for Intelligent Rehabilitation Research, Shanghai YangZhi Rehabilitation Hospital, Shanghai Sunshine Rehabilitation Centre, School of Medicine, Tongji University, Shanghai, China
| | - Longbing Ren
- China Centre for Health Developments, Peking University, Beijing, China
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Huang X, Deng S, Xie W, Zheng F. Time in target range of systolic blood pressure and cognitive outcomes in patients with hypertension. J Am Geriatr Soc 2024; 72:423-432. [PMID: 37916517 DOI: 10.1111/jgs.18641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 10/03/2023] [Accepted: 10/09/2023] [Indexed: 11/03/2023]
Abstract
BACKGROUND Blood pressure (BP) is a dynamic measure that fluctuates over time. However, conventional BP control indicators may not adequately reflect the variability of BP during a period of time. METHODS We performed a secondary analysis of the Systolic Blood Pressure Intervention Trial (SPRINT), which compared systolic blood pressure (SBP) targets of <120 mmHg (intensive) and <140 mmHg (standard) among patients with hypertension and high cardiac risks. The target ranges were defined as 110 to 130 mmHg in intensive treatment arm and 120 to 140 mmHg in standard treatment arm, respectively. Time in target range (TTR) was calculated based on SBP measurements recorded during the first 3-month follow-up using linear interpolation method. The Fine-Gray competing risk regression models were used to evaluate the association between TTR and cognitive outcomes. RESULTS A total of 7965 patients with the mean (SD) age of 68.0 (9.2) years were included, and 35% were female. Patients with higher TTR were younger, more likely to be male and take <3 BP-lowering agents. Compared to the last quartile, the first quartile of TTR was significantly associated with a higher risk of probable dementia (HR: 1.74; 95% CI: 1.22-2.46; p = 0.002) and the composite of probable dementia or mild cognitive impairment (HR: 1.26; 95% CI: 1.03-1.55; p = 0.025). The risk of probable dementia and the composite outcome increased with per quartile decrease of TTR (HR: 1.18; 95% CI: 1.06-1.30; p = 0.002 and HR: 1.07; 95% CI: 1.00-1.14; p = 0.036). Sensitivity analyses showed similar results after adjusting mean SBP during the first 3-month follow-up. CONCLUSIONS In this secondary analysis of SPRINT data, TTR was independently associated with probable dementia among patients with hypertension, suggesting that TTR could be used as a practical metric of BP control to evaluate the risk of dementia in older adults. REGISTRATION URL: https://www. CLINICALTRIALS gov; Identifier: NCT01206062.
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Affiliation(s)
- Xinghe Huang
- School of Nursing, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Sicheng Deng
- School of Nursing, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wuxiang Xie
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China
| | - Fanfan Zheng
- School of Nursing, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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14
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Chen N, Ma LL, Zhang Y, Chu X, Dong J, Yan YX. Association of long-term triglyceride-glucose index patterns with the incidence of chronic kidney disease among non-diabetic population: evidence from a functional community cohort. Cardiovasc Diabetol 2024; 23:7. [PMID: 38172903 PMCID: PMC10765660 DOI: 10.1186/s12933-023-02098-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 12/17/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND The triglyceride-glucose (TyG) index is a reliable surrogate marker of insulin resistance and previous studies have confirmed the association of TyG index with incident chronic kidney disease (CKD). However, the impact of longitudinal patterns of TyG index on CKD risk among non-diabetic population is still unknown. Therefore, this study aimed to investigate the association of longitudinal patterns of TyG index with incident CKD among non-diabetic population. METHODS A total of 5484 non-diabetic participants who underwent one health examination per year from 2015 to 2017 were included in this prospective study. TyG index variability and cumulative TyG index were calculated to assess the longitudinal patterns of TyG index. Cox proportional hazard models were performed to estimate the association of TyG index variability or cumulative TyG index with incident CKD. RESULTS During a median of 3.82 years follow-up, 879 participants developed CKD. Compared with participants in the lowest quartile, the hazard ratio (HR) and 95% confidence interval (CI) of incident CKD were 1.772 (95% CI: 1.453, 2.162) for the highest TyG index variability quartile and 2.091 (95% CI: 1.646, 2.655) for the highest cumulative TyG index quartile in the fully adjusted models. The best discrimination and reclassification improvement were observed after adding baseline TyG, TyG index variability and cumulative TyG index to the clinical risk model for CKD. CONCLUSIONS Both TyG index variability and cumulative TyG index can independently predict incident CKD among non-diabetic population. Monitoring longitudinal patterns of TyG index may assist with prediction and prevention of incident CKD.
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Affiliation(s)
- Ning Chen
- Department of Epidemiology and Biostatistics, Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Lin-Lin Ma
- Department of Epidemiology and Biostatistics, Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Yu Zhang
- Department of Epidemiology and Biostatistics, Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Xi Chu
- Health Management Center, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Jing Dong
- Health Management Center, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yu-Xiang Yan
- Department of Epidemiology and Biostatistics, Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China.
- School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmenWai, Fengtai District, Beijing, 100069, China.
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15
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Zheng F, Liang J, Li C, Gao D, Xie W. Cognitive decline among older adults with depressive symptoms before and during the COVID-19 pandemic. J Affect Disord 2024; 344:407-413. [PMID: 37848087 DOI: 10.1016/j.jad.2023.10.051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Revised: 09/08/2023] [Accepted: 10/08/2023] [Indexed: 10/19/2023]
Abstract
BACKGROUND Whether the COVID-19 pandemic would induce accelerated cognitive decline in individuals with depressive symptoms is undetermined. OBJECTIVE To investigate the impact of the COVID-19 pandemic on cognitive function among older adults with depressive symptoms. METHODS Data were from the Health and Retirement Study. The interval between wave 13 and wave 14 was defined as the prepandemic period, and the interval between wave 14 and wave 15 was defined as the pandemic period. Linear mixed models and modified Poisson regression models were employed to compare the differences in cognitive decline and incident dementia between participants with and without depressive symptoms before and during the pandemic. RESULTS A total of 9304 participants were included. During the prepandemic period, no significant difference was observed in changes in cognitive scores between participants with and without depressive symptoms. During the pandemic period, an accelerated decline in cognitive scores was found between the two groups (global cognition: -0.25, 95 % CI: -0.41 to -0.08, P = 0.004; memory: -0.16, 95 % CI: -0.31 to -0.02, P = 0.030; executive function: -0.08, 95 % CI: -0.15 to -0.02, P = 0.014). Participants with depressive symptoms had a higher risk of developing dementia during the pandemic (RR: 1.48, 95 % CI: 1.17 to 1.88, P < 0.001). LIMITATIONS Causal relationship cannot be concluded due to the observational study design. CONCLUSIONS Older adults with depressive symptoms suffered more severe cognitive deterioration and had a higher risk of incident dementia during the pandemic, underscoring the need to provide cognitive monitoring and interventions for those with depressive symptoms during the COVID-19 pandemic.
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Affiliation(s)
- Fanfan Zheng
- School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
| | - Jie Liang
- School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Chenglong Li
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China
| | - Darui Gao
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China
| | - Wuxiang Xie
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China.
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Morton L, Arndt P, Garza AP, Henneicke S, Mattern H, Gonzalez M, Dityatev A, Yilmazer-Hanke D, Schreiber S, Dunay IR. Spatio-temporal dynamics of microglia phenotype in human and murine cSVD: impact of acute and chronic hypertensive states. Acta Neuropathol Commun 2023; 11:204. [PMID: 38115109 PMCID: PMC10729582 DOI: 10.1186/s40478-023-01672-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 10/19/2023] [Indexed: 12/21/2023] Open
Abstract
Vascular risk factors such as chronic hypertension are well-established major modifiable factors for the development of cerebral small vessel disease (cSVD). In the present study, our focus was the investigation of cSVD-related phenotypic changes in microglia in human disease and in the spontaneously hypertensive stroke-prone rat (SHRSP) model of cSVD. Our examination of cortical microglia in human post-mortem cSVD cortical tissue revealed distinct morphological microglial features specific to cSVD. We identified enlarged somata, an increase in the territory occupied by thickened microglial processes, and an expansion in the number of vascular-associated microglia. In parallel, we characterized microglia in a rodent model of hypertensive cSVD along different durations of arterial hypertension, i.e., early chronic and late chronic hypertension. Microglial somata were already enlarged in early hypertension. In contrast, at late-stage chronic hypertension, they further exhibited elongated branches, thickened processes, and a reduced ramification index, mirroring the findings in human cSVD. An unbiased multidimensional flow cytometric analysis revealed phenotypic heterogeneity among microglia cells within the hippocampus and cortex. At early-stage hypertension, hippocampal microglia exhibited upregulated CD11b/c, P2Y12R, CD200R, and CD86 surface expression. Detailed analysis of cell subpopulations revealed a unique microglial subset expressing CD11b/c, CD163, and CD86 exclusively in early hypertension. Notably, even at early-stage hypertension, microglia displayed a higher association with cerebral blood vessels. We identified several profound clusters of microglia expressing distinct marker profiles at late chronic hypertensive states. In summary, our findings demonstrate a higher vulnerability of the hippocampus, stage-specific microglial signatures based on morphological features, and cell surface protein expression in response to chronic arterial hypertension. These results indicate the diversity within microglia sub-populations and implicate the subtle involvement of microglia in cSVD pathogenesis.
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Affiliation(s)
- Lorena Morton
- Institute of Inflammation and Neurodegeneration, Medical Faculty, Health Campus Immunology, Infectiology, and Inflammation (GC-I3), Otto-von-Guericke University, Leipziger Straße 44, 39120, Magdeburg, Germany
| | - Philipp Arndt
- Department of Neurology, Medical Faculty, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
- German Center for Neurodegenerative Diseases (DZNE) Helmholtz Association, Magdeburg, Germany
| | - Alejandra P Garza
- Institute of Inflammation and Neurodegeneration, Medical Faculty, Health Campus Immunology, Infectiology, and Inflammation (GC-I3), Otto-von-Guericke University, Leipziger Straße 44, 39120, Magdeburg, Germany
| | - Solveig Henneicke
- Department of Neurology, Medical Faculty, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
- German Center for Neurodegenerative Diseases (DZNE) Helmholtz Association, Magdeburg, Germany
| | - Hendrik Mattern
- German Center for Neurodegenerative Diseases (DZNE) Helmholtz Association, Magdeburg, Germany
- Faculty of Natural Sciences, Biomedical Magnetic Resonance, Otto-von-Guericke University, Magdeburg, Germany
- Center for Behavioral Brain Sciences (CBBS), Magdeburg, Germany
| | - Marilyn Gonzalez
- Institute of Inflammation and Neurodegeneration, Medical Faculty, Health Campus Immunology, Infectiology, and Inflammation (GC-I3), Otto-von-Guericke University, Leipziger Straße 44, 39120, Magdeburg, Germany
| | - Alexander Dityatev
- German Center for Neurodegenerative Diseases (DZNE) Helmholtz Association, Magdeburg, Germany
- Medical Faculty, Otto-von-Guericke University, Magdeburg, Germany
- Center for Behavioral Brain Sciences (CBBS), Magdeburg, Germany
| | - Deniz Yilmazer-Hanke
- Clinical Neuroanatomy, Department of Neurology, Institute for Biomedical Research, Ulm University, Ulm, Germany
| | - Stefanie Schreiber
- Department of Neurology, Medical Faculty, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
- German Center for Neurodegenerative Diseases (DZNE) Helmholtz Association, Magdeburg, Germany
- Center for Behavioral Brain Sciences (CBBS), Magdeburg, Germany
- Center for Intervention and Research on Adaptive and Maladaptive Brain Circuits Underlying Mental Health (C-I-R-C), Jena-Magdeburg-Halle, Germany
| | - Ildiko R Dunay
- Institute of Inflammation and Neurodegeneration, Medical Faculty, Health Campus Immunology, Infectiology, and Inflammation (GC-I3), Otto-von-Guericke University, Leipziger Straße 44, 39120, Magdeburg, Germany.
- Medical Faculty, Otto-von-Guericke University, Magdeburg, Germany.
- Center for Behavioral Brain Sciences (CBBS), Magdeburg, Germany.
- Center for Intervention and Research on Adaptive and Maladaptive Brain Circuits Underlying Mental Health (C-I-R-C), Jena-Magdeburg-Halle, Germany.
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Varghese JS, Lu P, Choi D, Kobayashi LC, Ali MK, Patel SA, Li C. Spousal Concordance of Hypertension Among Middle-Aged and Older Heterosexual Couples Around the World: Evidence From Studies of Aging in the United States, England, China, and India. J Am Heart Assoc 2023; 12:e030765. [PMID: 38054385 PMCID: PMC10863781 DOI: 10.1161/jaha.123.030765] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 08/24/2023] [Indexed: 12/07/2023]
Abstract
BACKGROUND Health concordance within couples presents a promising opportunity to design interventions for disease management, including hypertension. We compared the concordance of prevalent hypertension within middle-aged and older heterosexual couples in the United States, England, China, and India. METHODS AND RESULTS Cross-sectional dyadic data on heterosexual couples were used from contemporaneous waves of the HRS (US Health and Retirement Study, 2016/17, n=3989 couples), ELSA (English Longitudinal Study on Aging, 2016/17, n=1086), CHARLS (China Health and Retirement Longitudinal Study, 2015/16, n=6514), and LASI (Longitudinal Aging Study in India, 2017/19, n=22 389). Concordant hypertension was defined as both husband and wife in a couple having hypertension. The prevalence of concordant hypertension within couples was 37.9% (95% CI, 35.8-40.0) in the United States, 47.1% (95% CI, 43.2-50.9) in England, 20.8% (95% CI, 19.6-21.9) in China, and 19.8% (95% CI, 19.0-20.5) in India. Compared with wives married to husbands without hypertension, wives married to husbands with hypertension were more likely to have hypertension in the United States (prevalence ratio, 1.09 [95% CI, 1.01- 1.17), England (prevalence ratio, 1.09, 95% CI, 0.98-1.21), China (prevalence ratio, 1.26 [95% CI, 1.17-1.35), and India (prevalence ratio, 1.19 [95% CI, 1.15-1.24]). Within each country, similar associations were observed for husbands. Across countries, associations in the United States and England were similar, whereas they were slightly larger in China and India. CONCLUSIONS Concordance of hypertension within heterosexual couples was consistently observed across these 4 socially and economically diverse countries. Couple-centered interventions may be an efficient strategy to prevent and manage hypertension in these countries.
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Affiliation(s)
- Jithin Sam Varghese
- Hubert Department of Global Health, Rollins School of Public HealthEmory UniversityAtlantaGA
- Emory Global Diabetes Research Center of Emory University and Woodruff Health Sciences CenterAtlantaGA
| | - Peiyi Lu
- Department of Epidemiology, Mailman School of Public HealthColumbia UniversityNew YorkNY
| | - Daesung Choi
- Hubert Department of Global Health, Rollins School of Public HealthEmory UniversityAtlantaGA
- Emory Global Diabetes Research Center of Emory University and Woodruff Health Sciences CenterAtlantaGA
| | - Lindsay C. Kobayashi
- Center for Social Epidemiology and Population Health, Department of Epidemiology, School of Public HealthUniversity of MichiganAnn ArborMI
| | - Mohammed K. Ali
- Hubert Department of Global Health, Rollins School of Public HealthEmory UniversityAtlantaGA
- Emory Global Diabetes Research Center of Emory University and Woodruff Health Sciences CenterAtlantaGA
- Department of Family and Preventive Medicine, School of MedicineEmory UniversityAtlantaGA
| | - Shivani A. Patel
- Hubert Department of Global Health, Rollins School of Public HealthEmory UniversityAtlantaGA
- Emory Global Diabetes Research Center of Emory University and Woodruff Health Sciences CenterAtlantaGA
| | - Chihua Li
- Center for Social Epidemiology and Population Health, Department of Epidemiology, School of Public HealthUniversity of MichiganAnn ArborMI
- Survey Research CenterUniversity of MichiganAnn ArborMI
- Department of EpidemiologySchool of Public Health, Johns Hopkins Bloomberg School of Public HealthBaltimoreMD
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Liang J, Li C, Gao D, Ma Q, Wang Y, Pan Y, Zhang W, Xie W, Zheng F. Association Between Onset Age of Coronary Heart Disease and Incident Dementia: A Prospective Cohort Study. J Am Heart Assoc 2023; 12:e031407. [PMID: 38018492 PMCID: PMC10727352 DOI: 10.1161/jaha.123.031407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 09/20/2023] [Indexed: 11/30/2023]
Abstract
BACKGROUND The association of age at coronary heart disease (CHD) onset with incident dementia remains unexplored. This study aimed to examine whether younger onset age of CHD is associated with a higher risk of incident dementia. METHODS AND RESULTS Data were obtained from the UK Biobank. Information on the diagnosis of CHD and dementia was collected at baseline and follow-ups. Propensity score matching method and Cox proportional hazards models were used to evaluate the association between different ages at CHD onset and incident dementia. A total of 432 667 adults (mean±SD age, 56.9±8.1 years) were included, of whom 11.7% had CHD. Compared with participants without CHD, participants with CHD exhibited higher risks of developing all-cause dementia, Alzheimer's disease, and vascular dementia. More importantly, younger age at CHD onset (per 10-year decrease) was significantly associated with elevated risks of all-cause dementia (hazard ratio [HR], 1.25 [95% CI, 1.20-1.30]; P<0.001), Alzheimer's disease (HR, 1.29 [95% CI, 1.20-1.38]; P<0.001), and vascular dementia (HR, 1.22 [95% CI, 1.13-1.31]; P<0.001). After propensity score matching, patients with CHD had significantly higher risks of all-cause dementia, Alzheimer's disease, and vascular dementia than matched controls among all onset age groups, and the HRs gradually elevated with decreasing age at CHD onset. CONCLUSIONS Younger onset age of CHD is associated with higher risks of incident all-cause dementia, Alzheimer's disease, and vascular dementia, underscoring the necessity to pay attention to the neurocognitive status of individuals diagnosed with CHD at younger age to conduct timely interventions to attenuate subsequent risk of incident dementia.
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Affiliation(s)
- Jie Liang
- Department of Clinical Nursing, School of NursingChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
| | - Chenglong Li
- Heart and Vascular Health Research CenterPeking University Clinical Research Institute, Peking University First HospitalBeijingChina
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of EducationBeijingChina
| | - Darui Gao
- Heart and Vascular Health Research CenterPeking University Clinical Research Institute, Peking University First HospitalBeijingChina
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of EducationBeijingChina
| | - Qian Ma
- Department of Cardiology, Beijing Anzhen HospitalCapital Medical UniversityBeijingChina
| | - Yongqian Wang
- Heart and Vascular Health Research CenterPeking University Clinical Research Institute, Peking University First HospitalBeijingChina
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of EducationBeijingChina
| | - Yang Pan
- Department of Clinical Nursing, School of NursingChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
| | - Wenya Zhang
- Department of Clinical Nursing, School of NursingChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
| | - Wuxiang Xie
- Heart and Vascular Health Research CenterPeking University Clinical Research Institute, Peking University First HospitalBeijingChina
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of EducationBeijingChina
| | - Fanfan Zheng
- Department of Clinical Nursing, School of NursingChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
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Li Y, Wang W, Zhu L, Yang L, Wu H, Zhang X, Guo L, Lu C. Pet Ownership, Living Alone, and Cognitive Decline Among Adults 50 Years and Older. JAMA Netw Open 2023; 6:e2349241. [PMID: 38147332 PMCID: PMC10751597 DOI: 10.1001/jamanetworkopen.2023.49241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 11/09/2023] [Indexed: 12/27/2023] Open
Abstract
Importance It remains unclear whether pet ownership is associated with cognitive decline and to what extent pet ownership mitigates the association between living alone and cognitive decline. Objective To explore the association of pet ownership with cognitive decline, the interaction between pet ownership and living alone, and the extent to which pet ownership mitigates the association between living alone and cognitive decline in older adults. Design, Setting, and Participants This cohort study used data from waves 5 (June 2010 to July 2011) to 9 (from June 2018 to July 2019) in the English Longitudinal Study of Ageing. Participants included adults 50 years and older. Data were analyzed from April 1 to June 30, 2023. Exposures Pet ownership and living alone in wave 5. Main Outcomes and Measures In waves 5 to 9, verbal memory and verbal fluency were assessed, and composite verbal cognition was further calculated. Results Of the 7945 participants included, the mean (SD) age was 66.3 (8.8) years, and 4446 (56.0%) were women. Pet ownership was associated with slower rates of decline in composite verbal cognition (β = 0.008 [95% CI, 0.002-0.014] SD/y), verbal memory (β = 0.006 [95% CI, 0.001-0.012] SD/y), and verbal fluency (β = 0.007 [95% CI, 0.001-0.013] SD/y). Three-way interaction tests showed that living alone was a significant modifier in all 3 associations. Stratified analyses showed that pet ownership was associated with slower rates of decline in composite verbal cognition (β = 0.023 [95% CI, 0.011-0.035] SD/y), verbal memory (β = 0.021 [95% CI, 0.008-0.034] SD/y), and verbal fluency (β = 0.018 [95% CI, 0.005-0.030] SD/y) among individuals living alone, but not among those living with others. Joint association analyses showed no significant difference in rates of decline in composite verbal cognition, verbal memory, or verbal fluency between pet owners living alone and pet owners living with others. Conclusions and Relevance In this cohort study, pet ownership was associated with slower rates of decline in verbal memory and verbal fluency among older adults living alone, but not among those living with others, and pet ownership offset the associations between living alone and declining rates in verbal memory and verbal fluency. Further studies are needed to assess whether pet ownership slows the rate of cognitive decline in older adults living alone.
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Affiliation(s)
- Yanzhi Li
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Wanxin Wang
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Liwan Zhu
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Liwen Yang
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Herui Wu
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Xiaojuan Zhang
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Lan Guo
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Ciyong Lu
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
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20
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Cheng Y, Zou J, Chu R, Wang D, Tian J, Sheng CS. Cumulative HbA1c exposure as a CVD risk in patients with type 2 diabetes: A post hoc analysis of ACCORD trial. Diabetes Res Clin Pract 2023; 206:111009. [PMID: 37952600 DOI: 10.1016/j.diabres.2023.111009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 10/02/2023] [Accepted: 11/09/2023] [Indexed: 11/14/2023]
Abstract
AIMS The study aimed to investigate the relationship between cumulative HbA1c exposure and cardiovascular events in patients with type 2 diabetes (T2D). METHODS This study included 9307 participants from the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial. Cumulative HbA1c exposure was calculated as the area under the curve during exposure time. RESULTS After adjusting for covariates, a 1-SD increase in cumulative HbA1c exposure was significantly associated with a higher risk of the primary outcome (HR 1.32, 95 % CI: 1.22-1.43, P < 0.001), all-cause mortality (HR 1.33, 95 % CI: 1.21-1.46, P < 0.001), and cardiovascular death (HR 1.45, 95 % CI: 1.27-1.67, P < 0.001). These associations were independent of baseline HbA1c and the first HbA1c level after enrollment. Cross-tabulation analysis showed that participants in the intensive-therapy group with high baseline HbA1c and cumulative HbA1c exposure had a significantly higher risk of primary outcome, all-cause mortality and cardiovascular death. CONCLUSIONS Higher cumulative HbA1c exposure was significantly associated with an increased risk of the primary outcome, all-cause mortality and cardiovascular death among T2D patients. Patients with T2D should strive for stable glycemic control to reduce their risk of cardiovascular events, and that those with high baseline HbA1c may require more intensive therapy to achieve this goal.
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Affiliation(s)
- Yi Cheng
- Department of Cardiovascular Medicine, Center for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluation, Shanghai Key Lab of Hypertension, Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jun Zou
- Department of Nephrology, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Rui Chu
- Department of General Practice of Waigang Community Health Service Center of Jiading District, Shanghai, China
| | - Dan Wang
- Department of Cardiovascular Medicine, Center for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluation, Shanghai Key Lab of Hypertension, Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jingyan Tian
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Chang-Sheng Sheng
- Department of Cardiovascular Medicine, Center for Epidemiological Studies and Clinical Trials and Center for Vascular Evaluation, Shanghai Key Lab of Hypertension, Shanghai Institute of Hypertension, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
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21
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Xiao Z, Lin Z, Xu L, Xu W, Huang H, Wang Y, Cao S, Xie Z, Liao W, Liao Y, Bin J, Feng W, Chen Y. Cumulative remnant cholesterol predicts cardiovascular outcomes in elderly patients with atherosclerotic cardiovascular disease. Eur J Prev Cardiol 2023; 30:1924-1934. [PMID: 37708385 DOI: 10.1093/eurjpc/zwad297] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 08/23/2023] [Accepted: 09/07/2023] [Indexed: 09/16/2023]
Abstract
AIMS Remnant cholesterol (RC) reportedly mediates residual cardiovascular risk in atherosclerotic cardiovascular diseases (ASCVD). However, few studies have characterized long-term cumulative RC exposure among elderly people. The study aimed to evaluate the association between cumulative exposure to RC and incident major adverse cardiovascular events (MACE) by analysing a cohort of elderly patients with ASCVD. METHODS AND RESULTS This retrospective multicentre cohort study enrolled ASCVD participants aged ≥75 years with baseline visits occurring from 2006 to 2012 followed by four in-person visits. Cumulative RC was estimated as the area under the curve using measurements from the first to fourth visits by using 9-year data. The time-weighted average (TWA) RC was expressed as cumulative exposure to RC averaged by years. All outcomes were follow-up from the fourth visit to the year 2021. Outcomes included a composite of MACE (stroke, unstable angina pectoris, myocardial infarction, and cardiac death). We included 4,680 participants (73.1% male, mean age 79.3 ± 2.5 years). The median follow-up duration was 6.1 years (interquartile range: 3.4-6.6 years). In the multivariable model adjusted for traditional cardiovascular risk factors, low-density lipoprotein cholesterol level, and most recent RC level, the hazard ratios for MACE that compared the high and low tertiles of the RC variables were 1.30 [95% confidence interval (CI), 1.16-1.44] for cumulative RC and 1.36 (95% CI, 1.23-1.52) for TWA RC. Consistent significant associations were observed among most propensity score analyses. CONCLUSIONS Long-term cumulative RC was independently associated with incident MACE in elderly participants with ASCVD, suggesting that achieving and maintaining optimal RC levels later in life may still improve cardiovascular outcomes.
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Affiliation(s)
- Zhiwen Xiao
- Department of Cardiology, State Key Laboratory of Organ Failure Research, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou 510515, China
- Guangdong Provincial Key Laboratory of Cardiac Function and Microcirculation, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou 510515, China
| | - Zhongqiu Lin
- Department of Cardiology, State Key Laboratory of Organ Failure Research, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou 510515, China
- Department of Geriatrics, General Hospital of Southern Theater Command, People's Liberation Army, 111 Liuhua Road, Guangzhou 510010, China
| | - Lin Xu
- Department of Geriatrics, General Hospital of Southern Theater Command, People's Liberation Army, 111 Liuhua Road, Guangzhou 510010, China
| | - Wenlong Xu
- Department of Cardiology, State Key Laboratory of Organ Failure Research, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou 510515, China
- Guangdong Provincial Key Laboratory of Cardiac Function and Microcirculation, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou 510515, China
| | - Haoxiang Huang
- Department of Cardiology, State Key Laboratory of Organ Failure Research, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou 510515, China
- Guangdong Provincial Key Laboratory of Cardiac Function and Microcirculation, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou 510515, China
| | - Yuegang Wang
- Department of Cardiology, State Key Laboratory of Organ Failure Research, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou 510515, China
- Guangdong Provincial Key Laboratory of Cardiac Function and Microcirculation, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou 510515, China
| | - Shiping Cao
- Department of Cardiology, State Key Laboratory of Organ Failure Research, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou 510515, China
- Guangdong Provincial Key Laboratory of Cardiac Function and Microcirculation, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou 510515, China
| | - Zhiquan Xie
- Department of Geriatrics, General Hospital of Southern Theater Command, People's Liberation Army, 111 Liuhua Road, Guangzhou 510010, China
| | - Wangjun Liao
- Department of Oncology, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou 510515, China
| | - Yulin Liao
- Department of Cardiology, State Key Laboratory of Organ Failure Research, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou 510515, China
- Guangdong Provincial Key Laboratory of Cardiac Function and Microcirculation, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou 510515, China
| | - Jianping Bin
- Department of Cardiology, State Key Laboratory of Organ Failure Research, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou 510515, China
- Guangdong Provincial Key Laboratory of Cardiac Function and Microcirculation, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou 510515, China
| | - Weijing Feng
- Department of Cardiology, State Key Laboratory of Organ Failure Research, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou 510515, China
- Guangdong Provincial Key Laboratory of Cardiac Function and Microcirculation, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou 510515, China
| | - Yanmei Chen
- Department of Cardiology, State Key Laboratory of Organ Failure Research, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou 510515, China
- Guangdong Provincial Key Laboratory of Cardiac Function and Microcirculation, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou 510515, China
- Department of Cardiology, Ganzhou People's Hospital, 16 Meiguan Avenue, Ganzhou 341000, China
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22
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Chen Y, Guan L, Chen J, Han K, Yu Q, Zhou J, Wang X, Ma Y, Ji X, Zhao Z, Shen Q, Wang A, Wang M, Li J, Yu J, Zhang Y, Xu S, Liu J, Lu W, Ye B, Fang Y, Hu H, Shi H, Xiang M, Li X, Li Y, Wu H. Hearing intervention for decreasing risk of developing dementia in elders with mild cognitive impairment: study protocol of a multicenter randomized controlled trial for Chinese Hearing Solution for Improvement of Cognition in Elders (CHOICE). Trials 2023; 24:767. [PMID: 38017543 PMCID: PMC10685713 DOI: 10.1186/s13063-023-07813-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Accepted: 11/21/2023] [Indexed: 11/30/2023] Open
Abstract
BACKGROUND Age-related hearing loss (ARHL) signifies the bilateral, symmetrical, sensorineural hearing loss that commonly occurs in elderly individuals. Several studies have suggested a higher risk of dementia among patients diagnosed with ARHL. Although the precise causal association between ARHL and cognitive decline remains unclear, ARHL has been recognized as one of the most significant factors that can be modified to reduce the risk of developing dementia potentially. Mild cognitive impairment (MCI) typically serves as the initial stage in the transition from normal cognitive function to dementia. Consequently, the objective of our randomized controlled trial (RCT) is to further investigate whether the use of hearing aids can enhance cognitive function in older adults diagnosed with ARHL and MCI. METHODS AND DESIGN This study is a parallel-arm, randomized controlled trial conducted at multiple centers in Shanghai, China. We aim to enlist a total of 688 older adults (age ≥ 60) diagnosed with moderate-to-severe ARHL and MCI from our four research centers. Participants will be assigned randomly to either the hearing aid fitting group or the health education group using block randomization with varying block sizes. Audiometry, cognitive function assessments, and other relevant data will be collected at baseline, as well as at 6, 12, and 24 months post-intervention by audiologists and trained researchers. The primary outcome of our study is the rate of progression to dementia among the two groups of participants. Additionally, various evaluations will be conducted to measure hearing improvement and changes in cognitive function. Apart from the final study results, we also plan to conduct an interim analysis using data from 12-month follow-up. DISCUSSION In recent years, there has been a notable lack of randomized controlled trials (RCTs) investigating the possible causal relationship between hearing fitting and the improvement of cognitive function. Our findings may demonstrate that hearing rehabilitation can be a valuable tool in managing ARHL and preventing cognitive decline, which will contribute to the development of a comprehensive framework for the prevention and control of cognitive decline. TRIAL REGISTRATION Chinese Clinical Trial Registry chictr.org.cn ChiCTR2000036139. Registered on 21 August 2020.
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Affiliation(s)
- Ying Chen
- Department of Otolaryngology-Head and Neck Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Translational Medicine On Ear and Nose Diseases (14DZ2260300), Ear Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lei Guan
- Department of Otolaryngology-Head and Neck Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Translational Medicine On Ear and Nose Diseases (14DZ2260300), Ear Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jie Chen
- Department of Otolaryngology-Head and Neck Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Translational Medicine On Ear and Nose Diseases (14DZ2260300), Ear Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Kun Han
- Department of Otolaryngology-Head and Neck Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Translational Medicine On Ear and Nose Diseases (14DZ2260300), Ear Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qiongfei Yu
- Department of Otolaryngology-Head and Neck Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Translational Medicine On Ear and Nose Diseases (14DZ2260300), Ear Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jin Zhou
- Department of Otolaryngology-Head and Neck Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Translational Medicine On Ear and Nose Diseases (14DZ2260300), Ear Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xue Wang
- Department of Otolaryngology-Head and Neck Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Translational Medicine On Ear and Nose Diseases (14DZ2260300), Ear Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yunqian Ma
- Department of Otolaryngology-Head and Neck Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Translational Medicine On Ear and Nose Diseases (14DZ2260300), Ear Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiangyu Ji
- Department of Otolaryngology-Head and Neck Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Translational Medicine On Ear and Nose Diseases (14DZ2260300), Ear Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhonglu Zhao
- Department of Otolaryngology-Head and Neck Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Translational Medicine On Ear and Nose Diseases (14DZ2260300), Ear Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qiyue Shen
- Department of Otolaryngology-Head and Neck Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Translational Medicine On Ear and Nose Diseases (14DZ2260300), Ear Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Anxian Wang
- Department of Otolaryngology-Head and Neck Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Translational Medicine On Ear and Nose Diseases (14DZ2260300), Ear Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mengping Wang
- Department of Otolaryngology-Head and Neck Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Translational Medicine On Ear and Nose Diseases (14DZ2260300), Ear Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jin Li
- Department of Otolaryngology-Head and Neck Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Translational Medicine On Ear and Nose Diseases (14DZ2260300), Ear Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiali Yu
- Department of Otolaryngology-Head and Neck Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Translational Medicine On Ear and Nose Diseases (14DZ2260300), Ear Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yiwen Zhang
- Department of Otolaryngology-Head and Neck Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Translational Medicine On Ear and Nose Diseases (14DZ2260300), Ear Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Sijia Xu
- Department of Otolaryngology-Head and Neck Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Translational Medicine On Ear and Nose Diseases (14DZ2260300), Ear Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jie Liu
- Department of Otolaryngology-Head and Neck Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Translational Medicine On Ear and Nose Diseases (14DZ2260300), Ear Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wen Lu
- Department of Otolaryngology-Head and Neck Surgery, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bin Ye
- Department of Otolaryngology & Head and Neck Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuan Fang
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Haixia Hu
- Department of Otolaryngology & Head and Neck Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Haibo Shi
- Department of Otolaryngology-Head and Neck Surgery, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mingliang Xiang
- Department of Otolaryngology & Head and Neck Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xia Li
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yun Li
- Department of Otolaryngology-Head and Neck Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Translational Medicine On Ear and Nose Diseases (14DZ2260300), Ear Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hao Wu
- Department of Otolaryngology-Head and Neck Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- Shanghai Key Laboratory of Translational Medicine On Ear and Nose Diseases (14DZ2260300), Ear Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Xu Y, Aung HL, Bateman RJ, Brooks WS, Chhatwal J, Day GS, Fagan AM, Farlow MR, Gordon B, Kehoe PG, Levin J, Mori H, Morris JC, Wharton W, Humburg P, Schofield PR, Peters R. Higher systolic blood pressure in early-mid adulthood is associated with poorer cognitive performance in those with a dominantly inherited Alzheimer's disease mutation but not in non-carriers. Results from the DIAN study. Alzheimers Dement 2023; 19:4999-5009. [PMID: 37087693 DOI: 10.1002/alz.13082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 03/15/2023] [Accepted: 03/15/2023] [Indexed: 04/24/2023]
Abstract
BACKGROUND The Dominantly Inherited Alzheimer Network (DIAN) is a longitudinal observational study that collects data on cognition, blood pressure (BP), and other variables from autosomal-dominant Alzheimer's disease mutation carriers (MCs) and non-carrier (NC) family members in early to mid-adulthood, providing a unique opportunity to evaluate BP and cognition relationships in these populations. METHOD We examined cross-sectional and longitudinal relationships between systolic and diastolic BP and cognition in DIAN MC and NC. RESULTS Data were available from 528 participants, who had a mean age of 38 (SD = 11) and were 42% male and 61% MCs, at a median follow-up of 2 years. Linear-multilevel models found only cross-sectional associations in the MC group between higher systolic BP and poorer performance on language (β = -0.181 [-0.318, -0.044]), episodic memory (-0.212 [-0.375, -0.049]), and a composite cognitive measure (-0.146 [-0.276, -0.015]). In NCs, the relationship was cross-sectional only and present for language alone. DISCUSSION Higher systolic BP was cross-sectionally but not longitudinally associated with poorer cognition, particularly in MCs. BP may influence cognition gradually, but further longitudinal research is needed.
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Affiliation(s)
- Ying Xu
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- University of New South Wales, Sydney, New South Wales, Australia
| | - Htein Linn Aung
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- University of New South Wales, Sydney, New South Wales, Australia
| | | | - William S Brooks
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- University of New South Wales, Sydney, New South Wales, Australia
| | | | | | | | | | | | | | - Johannes Levin
- Ludwig-Maximilians-Universität München, Munich, Germany
- German Center for Neurodegenerative Diseases, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Hiroshi Mori
- Osaka Metropolitan University, Osaka, Japan
- Nagaoka Sutoku University, Nagaoka, Japan
| | | | | | - Peter Humburg
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- University of New South Wales, Sydney, New South Wales, Australia
| | - Peter R Schofield
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- University of New South Wales, Sydney, New South Wales, Australia
| | - Ruth Peters
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- University of New South Wales, Sydney, New South Wales, Australia
- Imperial College London, London, UK
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24
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Li C, Gao D, Cai YS, Liang J, Wang Y, Pan Y, Zhang W, Zheng F, Xie W. Relationships of Residential Distance to Major Traffic Roads with Dementia Incidence and Brain Structure Measures: Mediation Role of Air Pollution. HEALTH DATA SCIENCE 2023; 3:0091. [PMID: 38487203 PMCID: PMC10880167 DOI: 10.34133/hds.0091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 09/24/2023] [Indexed: 03/17/2024]
Abstract
Background: Uncertainty exists regarding the operating pathways between near-roadway exposure and dementia incidence. We intend to examine relationships between proximity to major roadways with dementia incidence and brain MRI structure measures, and potential mediation roles of air and noise pollution. Methods: The cohort study was based on the UK Biobank. Baseline survey was conducted from 2006 to 2010, with linkage to electronic health records conducted for follow-up. Residential distance to major roadways was ascertained residential address postcode. A land use regression model was applied for estimating traffic-related air pollution at residence. Dementia incidence was ascertained using national administrative databases. Brain MRI measures were derived as image-derived phenotypes, including total brain, white matter, gray matter, and peripheral cortical gray matter. Results: We included 460,901 participants [mean (SD) age: 57.1 (8.1) years; men: 45.7%]. Compared with individuals living >1,000 m from major traffic roads, living ≤1,000 m was associated with a 13% to 14% higher dementia risk, accounting for 10% of dementia cases. Observed association between residential distance and dementia was substantially mediated by traffic-related air pollution, mainly nitrogen dioxide (proportion mediated: 63.6%; 95% CI, 27.0 to 89.2%) and PM2.5 (60.9%, 26.8 to 87.0%). The shorter residential distance was associated with smaller volumes of brain structures, which was also mediated by traffic-related air pollutants. No significant mediation role was observed of noise pollution. Conclusions: The shorter residential distance to major roads was associated with elevated dementia incidence and smaller brain structure volumes, which was mainly mediated by traffic-related air pollution.
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Affiliation(s)
- Chenglong Li
- Peking University Clinical Research Institute,
Peking University First Hospital, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Darui Gao
- Peking University Clinical Research Institute,
Peking University First Hospital, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Yutong Samuel Cai
- Centre for Environmental Health and Sustainability,
University of Leicester, Leicester, UK
| | - Jie Liang
- School of Nursing, Peking Union Medical College,
Chinese Academy of Medical Sciences, Beijing, China
| | - Yongqian Wang
- Peking University Clinical Research Institute,
Peking University First Hospital, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Yang Pan
- School of Nursing, Peking Union Medical College,
Chinese Academy of Medical Sciences, Beijing, China
| | - Wenya Zhang
- School of Nursing, Peking Union Medical College,
Chinese Academy of Medical Sciences, Beijing, China
| | - Fanfan Zheng
- School of Nursing, Peking Union Medical College,
Chinese Academy of Medical Sciences, Beijing, China
| | - Wuxiang Xie
- Peking University Clinical Research Institute,
Peking University First Hospital, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
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25
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Zhang L, He G, Huo X, Tian A, Ji R, Pu B, Peng Y. Long-Term Cumulative High-Sensitivity C-Reactive Protein and Mortality Among Patients With Acute Heart Failure. J Am Heart Assoc 2023; 12:e029386. [PMID: 37776214 PMCID: PMC10727254 DOI: 10.1161/jaha.123.029386] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 07/10/2023] [Indexed: 10/02/2023]
Abstract
Background Elevated hsCRP (high-sensitivity C-reactive protein) level is associated with worse prognosis among patients hospitalized for heart failure. However, the prognostic value of the long-term cumulative hsCRP remains unknown. Methods and Results We consecutively enrolled patients hospitalized for heart failure and collected their hsCRP data at admission and 1 and 12 months after discharge. Long-term cumulative hsCRP was evaluated using 2 approaches, cumulative hsCRP level quartiles and cumulative times of high hsCRP levels. Patients were classified into 4 groups by cumulative hsCRP level quartiles and cumulative times of high hsCRP levels (0- to 3-times: number of times that hsCRP levels were higher than cutoff values at admission or 1 or 12 months), respectively. Multivariable Cox models were used to assess the association of mortality with cumulative hsCRP. A total of 1281 patients were included; the median age was 64 (interquartile range, 54-73) years, and 35.4% were women. Over a 4.8-year (interquartile range, 4.2-5.1) follow-up, 374 (29.2%) patients died. Elevated long-term cumulative hsCRP level was related to higher mortality. Specifically, taking the quartile 1 as the reference, the hazard ratios (HRs) were 1.29 (95% CI, 0.92-1.81) for quartile 2, 1.62 (95% CI, 1.16-2.25) for quartile 3, and 2.38 (95% CI, 1.75-3.23) for quartile 4. Similarly, compared with the patients with 0-times (hsCRP level lower than the cutoff values in all 3 time points) of high hsCRP level, the HRs were 1.36 for 1-time (hsCRP level higher than the cutoff value in one of the 3 time points) (95% CI, 0.92-2.01), 1.95 for 2-times (hsCRP levels higher than the cutoff values in 2 of the 3 time points) (95% CI, 1.34-2.82), and 2.80 for 3-times (hsCRP levels higher than the cutoff values in the 3 time points) (95% CI, 1.97-4.00). Conclusions Increasing long-term cumulative hsCRP level was associated with worse outcomes in patients hospitalized for acute heart failure. Repeated hsCRP measurements could assist physicians in identifying patients with a high risk of death. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT02878811.
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Affiliation(s)
- Lihua Zhang
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, Fuwai Hospital, National Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingPeople’s Republic of China
| | - Guangda He
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, Fuwai Hospital, National Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingPeople’s Republic of China
| | - Xiqian Huo
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, Fuwai Hospital, National Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingPeople’s Republic of China
| | - Aoxi Tian
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, Fuwai Hospital, National Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingPeople’s Republic of China
| | - Runqing Ji
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, Fuwai Hospital, National Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingPeople’s Republic of China
| | - Boxuan Pu
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, Fuwai Hospital, National Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingPeople’s Republic of China
| | - Yue Peng
- National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, Fuwai Hospital, National Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingPeople’s Republic of China
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26
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Shi H, Cui L, Hui Y, Wu S, Li X, Shu R, Song H, Wang J, Yu P, Chen S, Li J, Yang L, Wang Z, Yang Q, Gao Y. Enlarged Perivascular Spaces in Relation to Cumulative Blood Pressure Exposure and Cognitive Impairment. Hypertension 2023; 80:2088-2098. [PMID: 37476978 DOI: 10.1161/hypertensionaha.123.21453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Accepted: 06/29/2023] [Indexed: 07/22/2023]
Abstract
BACKGROUND Hypertension and enlarged perivascular spaces (EPVS) are thought to be associated with cognitive impairment. However, the correlations among hypertension, EPVS, and cognitive impairment have not been studied yet. We aimed to investigate the relationships between cumulative blood pressure (cBP) exposure with EPVS and cognitive impairment and whether EPVS may mediate the relationship between cBP and cognitive impairment. METHODS A total of 1507 subjects from the Kailuan prospective cohort study were enrolled. cBP was calculated from 2006 to 2022. The effects of cBP, EPVS scores, and cognitive impairment were evaluated using a logistic regression model. The relationships among cBP, EPVS score, and cognitive impairment were analyzed using a mediation model. RESULTS An increase in cBP was positively correlated with an increase in EPVS score. For every SD increase in cBP, the odds ratios (95% CI) of increased EPVS score of the centrum semiovale were 1.67 (1.43-1.95), 1.63 (1.4-1.9), and 1.35 (1.17-1.56), respectively; the odds ratios (95% CI) of increased EPVS score of the basal ganglia were 1.83 (1.56-2.15), 2.01 (1.7-2.36), and 1.31 (1.13-1.52), respectively; and the odds ratios (95% CI) of developing cognitive impairment were 1.28 (1.06-1.53), 1.13 (0.95-1.34), and 1.28 (1.07-1.5), respectively. Basal ganglia-EPVS score accounted for 10.46% to 18.32% of the mediating effects on the relationships of cBP/SD with cognitive impairment. CONCLUSIONS High cBP exposure was an independent risk factor for EPVS, and basal ganglia-EPVS score mediated the effects of cBP on cognitive impairment. REGISTRATION URL: https://www. CLINICALTRIALS gov; Unique identifier: ChiCTR-TNRC-11001489.
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Affiliation(s)
- Huijing Shi
- Department of Graduate School, Tianjin Medical University, Heping District, China (H. Shi)
- Department of Rheumatology and Immunology, Kailuan General Hospital, Tangshan, Hebei Province, China (H. Shi, L.C., R.S., H. Song, J.W., P.Y.)
| | - Liufu Cui
- Department of Rheumatology and Immunology, Kailuan General Hospital, Tangshan, Hebei Province, China (H. Shi, L.C., R.S., H. Song, J.W., P.Y.)
| | - Ying Hui
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, China (Y.H., X.L., Z.W.)
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, Hebei Province, China (S.W., S.C.)
| | - Xiaoshuai Li
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, China (Y.H., X.L., Z.W.)
| | - Rong Shu
- Department of Rheumatology and Immunology, Kailuan General Hospital, Tangshan, Hebei Province, China (H. Shi, L.C., R.S., H. Song, J.W., P.Y.)
| | - Haicheng Song
- Department of Rheumatology and Immunology, Kailuan General Hospital, Tangshan, Hebei Province, China (H. Shi, L.C., R.S., H. Song, J.W., P.Y.)
| | - Jierui Wang
- Department of Rheumatology and Immunology, Kailuan General Hospital, Tangshan, Hebei Province, China (H. Shi, L.C., R.S., H. Song, J.W., P.Y.)
| | - Ping Yu
- Department of Rheumatology and Immunology, Kailuan General Hospital, Tangshan, Hebei Province, China (H. Shi, L.C., R.S., H. Song, J.W., P.Y.)
| | - Shuohua Chen
- Department of Cardiology, Kailuan General Hospital, Tangshan, Hebei Province, China (S.W., S.C.)
| | | | - Ling Yang
- School of Public Health, North China University of Science and Technology, Tangshan, Hebei (L.Y.)
| | - Zhenchang Wang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, China (Y.H., X.L., Z.W.)
| | - Qing Yang
- Department of Cardiology, Tianjin Medical University General Hospital, Heping District, China (Q.Y., Y.G.)
| | - Yuxia Gao
- Department of Cardiology, Tianjin Medical University General Hospital, Heping District, China (Q.Y., Y.G.)
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27
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Kim H, Alvin Ang TF, Thomas RJ, Lyons MJ, Au R. Long-term blood pressure patterns in midlife and dementia in later life: Findings from the Framingham Heart Study. Alzheimers Dement 2023; 19:4357-4366. [PMID: 37394941 PMCID: PMC10597747 DOI: 10.1002/alz.13356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 05/08/2023] [Accepted: 05/09/2023] [Indexed: 07/04/2023]
Abstract
INTRODUCTION Long-term blood pressure (BP) measures, such as visit-to-visit BP variability (BPV) and cumulative BP, are strong indicators of cardiovascular risks. This study modeled up to 20 years of BP patterns representative of midlife by using BPV and cumulative BP, then examined their associations with development of dementia in later life. METHODS For 3201 individuals from the Framingham Heart Study, multivariate logistic regression analyses were performed to examine the association between long-term BP patterns during midlife and the development of dementia (ages ≥ 65). RESULTS After adjusting for covariates, every quartile increase in midlife cumulative BP was associated with a sequential increase in the risk of developing dementia (e.g., highest quartile of cumulative systolic blood pressure had approximately 2.5-fold increased risk of all-cause dementia). BPV was not significantly associated with dementia. DISCUSSION Findings suggest that cumulative BP over the course of midlife predicts risk of dementia in later life. HIGHLIGHTS Long-term blood pressure (BP) patterns are strong indicators of vascular risks. Cumulative BP and BP variability (BPV) were used to reflect BP patterns across midlife. High cumulative BP in midlife is associated with increased dementia risk. Visit-to-visit BPV was not associated with the onset of dementia.
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Affiliation(s)
- Hyun Kim
- Dept. of Psychological & Brain Sciences, Boston University, 900 Commonwealth Ave # 2, Boston, MA 02215, USA
- Framingham Heart Study, Boston University School of Medicine, 72 E. Concord St Housman (R), Boston MA 02118
| | - Ting Fang Alvin Ang
- Framingham Heart Study, Boston University School of Medicine, 72 E. Concord St Housman (R), Boston MA 02118
- Department of Anatomy and Neurobiology, Boston University School of Medicine, 72 E. Concord St Housman (R), Boston MA 02118
| | - Robert J. Thomas
- Department of Medicine, Division of Pulmonary, Critical Care & Sleep, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue Shapiro 7 Boston, MA 02215
| | - Michael J. Lyons
- Dept. of Psychological & Brain Sciences, Boston University, 900 Commonwealth Ave # 2, Boston, MA 02215, USA
| | - Rhoda Au
- Framingham Heart Study, Boston University School of Medicine, 72 E. Concord St Housman (R), Boston MA 02118
- Department of Anatomy and Neurobiology, Boston University School of Medicine, 72 E. Concord St Housman (R), Boston MA 02118
- Dept. of Neurology, Medicine and Alzheimer’s Disease Research Center, Boston University School of Medicine, 72 E. Concord St, Boston MA 02118
- Dept. of Epidemiology, Boston University School of Public Health, 715 Albany St.Boston, MA 02118
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28
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Zhu X, Luo Z, Tian G, Hu Z, Li S, Wang QM, Luo X, Chen L. Hypotension and cognitive impairment among the elderly: Evidence from the CLHLS. PLoS One 2023; 18:e0291775. [PMID: 37725634 PMCID: PMC10508618 DOI: 10.1371/journal.pone.0291775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 08/25/2023] [Indexed: 09/21/2023] Open
Abstract
BACKGROUND While high blood pressure has been linked to cognitive impairment, the relationship between low blood pressure, especially hypotension, and cognitive impairment has not been well studied. Therefore, this study aimed to assess the prevalence of hypotension and cognitive impairment in the seniors of China, and the association between hypotension and cognitive function impairment. METHODS The data was derived from the 2018 wave of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Systolic blood pressures (SBP) and diastolic blood pressures (DBP) were measured by objective examination. The Chinese version of the Mini-Mental State Examination (CMMSE) was used to evaluate the cognitive impairment of the elderly. Generalized linear models were conducted to evaluate the association of hypotension with cognitive impairment. RESULTS The prevalence of hypotension and cognitive impairment in the Chinese elderly were 0.76% and 22.06%, respectively. Participants with hypotension, lower SBP, and lower DBP, had odds ratios of 1.62, 1.38, and 1.48 for cognitive impairment, respectively. Besides, the CMMSE scores decreased by 2.08, 0.86, and 1.08 in the elderly with hypotension, lower SBP, and DBP, compared with those with non-hypotension, higher SBP, and DBP, respectively. Subgroup analyses showed that the association of cognitive impairment with hypotension was stronger in Chinese elderly who had decreased activity of daily living. Moreover, there was statistical evidence of a nonlinear dose-response relationship of SBP and DBP with cognitive impairment (Pnonlinear < 0.05). CONCLUSION Hypotension was a potential risk factor for cognitive impairment of the Chinese elderly, especially for those having decreased activity of daily living. Blood pressure management should be conducted to prevent them from cognitive impairment.
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Affiliation(s)
- Xidi Zhu
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
- Stroke Biological Recovery Laboratory, Spaulding Rehabilitation Hospital, the Teaching Affiliate of Harvard Medical School, Boston, Massachusetts, United States of America
| | - Zhicheng Luo
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
| | - Gang Tian
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
| | - Zhao Hu
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China
| | - Shaojie Li
- School of Public Health, Peking University, Beijing, China
| | - Qing Mei Wang
- Stroke Biological Recovery Laboratory, Spaulding Rehabilitation Hospital, the Teaching Affiliate of Harvard Medical School, Boston, Massachusetts, United States of America
| | - Xun Luo
- Kerry Rehabilitation Medicine Research Institute, Shenzhen, China
- School of Medicine, Shenzhen University, Shenzhen, China
| | - Lizhang Chen
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
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29
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Kowalski S, Goniewicz K, Moskal A, Al-Wathinani AM, Goniewicz M. Symptoms in Hypertensive Patients Presented to the Emergency Medical Service: A Comprehensive Retrospective Analysis in Clinical Settings. J Clin Med 2023; 12:5495. [PMID: 37685560 PMCID: PMC10487958 DOI: 10.3390/jcm12175495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 08/22/2023] [Accepted: 08/23/2023] [Indexed: 09/10/2023] Open
Abstract
BACKGROUND Hypertension is a prevalent condition with a variety of accompanying symptoms. Gender differences, specific blood pressure readings, and early signs of organ complications present intricate interplays in hypertensive individuals. OBJECTIVE This study aimed to investigate the relationship between hypertension and its accompanying symptoms, emphasizing gender-specific differences and potential indicators of organ complications. METHODS Data from 2002 participants were analyzed from a retrospective study, focusing on the presentation of symptoms, blood pressure values, and potential organ complications associated with these symptoms. RESULTS Of the participants, 68.8% were women with an average age of 69. Women were, on average, 8 years older than men. The average systolic blood pressure (SBP) was 188 mmHg. High-blood pressure was accompanied by symptoms in 84.9% of participants. Among those with an SBP > 180 mmHg, headaches were reported by 24.7%, and dizziness by 15.7%. Interestingly, as SBP increased, heart palpitations reports diminished with a mere 4.8% of those with SBP > 180 mmHg noting this symptom. Younger men exhibited increased chest pain and heart palpitations, while younger women more commonly reported headaches and nausea/vomiting. A significant relationship was identified between pulse pressure (PP) and symptoms, with dizziness in women and chest pain/discomfort in men being most pronounced. CONCLUSIONS The study underlines the importance of in-depth research on hypertensive individuals for improved symptom recognition and management. The data highlight the gender and age-specific symptom presentations and their correlation with blood pressure metrics, suggesting a need for patient-specific intervention strategies.
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Affiliation(s)
- Sebastian Kowalski
- Department of Emergency Medicine, Medical University of Lublin, 20-081 Lublin, Poland;
| | | | - Adrian Moskal
- Hospital Emergency Department, Voivodship Hospital in Krosno, 38-400 Krosno, Poland
| | - Ahmed M. Al-Wathinani
- Department of Emergency Medical Services, Prince Sultan bin Abdulaziz College for Emergency Medical Services, King Saud University, Riyadh 11451, Saudi Arabia;
| | - Mariusz Goniewicz
- Department of Emergency Medicine, Medical University of Lublin, 20-081 Lublin, Poland;
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30
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Liu H, Wang Y, Zhang B, Liu J, Huo Y, Cao S, Wu S, Wan Y, Xie X, Zeng L, Yan H, Dang S, Mi B. Associations between long-term blood pressure trajectory and all-cause and CVD mortality among old people in China. Front Cardiovasc Med 2023; 10:1157327. [PMID: 37663420 PMCID: PMC10471127 DOI: 10.3389/fcvm.2023.1157327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 08/03/2023] [Indexed: 09/05/2023] Open
Abstract
Background Optimal blood pressure (BP) management strategy among the elderly remains controversial, with insufficient consideration of long-term BP trajectory. This study aimed to identify BP trajectory patterns as well as terminal BP trajectory among the Chinese elderly and to explore the relationships between BP trajectories and all-cause mortality and cardiovascular disease (CVD) mortality. Methods We included 11,181 participants older than 60 at baseline (mean age, 80.98 ± 10.71) with 42,871 routine BP measurements from the Chinese Longitudinal Healthy Longevity Survey. Latent class trajectory analysis and Cox proportional hazard model were conducted to identify trajectory patterns and their associations with mortality. Furthermore, we also applied mixed-effects model to identify terminal BP trajectories among the elderly. Results Compared with stable at normal high level trajectory, excess systolic BP (SBP) trajectory with decreasing trend was associated with a 34% (HR = 1.34, 95% CI: 1.23-1.45) higher risk of all-cause mortality. Considering the competing risk of non-CVD death, excess BP trajectory with decreasing trend had a more pronounced effect on CVD mortality, in which HR (95% CI) was 1.67 (1.17, 2.37). Similar results were also found in diastolic BP (DBP), pulse pressure (PP), and mean arterial pressure (MAP) trajectories. We further conducted a mixed-effects model and observed that SBP and PP trajectories first increased and began to decline slightly six years before death. In contrast, DBP and MAP showed continuous decline 15 years before death. Conclusion Long-term BP trajectory was associated with all-cause mortality, especially CVD mortality. Keeping a stable BP over time may be an important way for CVD prevention among the elderly.
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Affiliation(s)
- Huimeng Liu
- Department of Occupational and Environmental Health, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi’an, China
| | - Yutong Wang
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi’an, China
- Global Health Institute, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
| | - Binyan Zhang
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi’an, China
- Global Health Institute, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
| | - Jingchun Liu
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi’an, China
- Global Health Institute, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
| | - Yating Huo
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi’an, China
- Global Health Institute, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
| | - Suixia Cao
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi’an, China
- Global Health Institute, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
| | - Shaowei Wu
- Department of Occupational and Environmental Health, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
| | - Yong Wan
- Department of Geriatric Surgery, First Affiliated Hospital, Xi’an Jiaotong University, Xi’an, China
| | - Xinming Xie
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Xi’an Jiaotong University, Xi'an, China
| | - Lingxia Zeng
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi’an, China
- Global Health Institute, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
| | - Hong Yan
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi’an, China
- Global Health Institute, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
| | - Shaonong Dang
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi’an, China
- Global Health Institute, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
| | - Baibing Mi
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi’an, China
- Global Health Institute, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
- Department of Geriatric Surgery, First Affiliated Hospital, Xi’an Jiaotong University, Xi’an, China
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Xi’an Jiaotong University, Xi'an, China
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Gil-Peinado M, Alacreu M, Ramos H, Sendra-Lillo J, García C, García-Lluch G, Lopez de Coca T, Sala M, Moreno L. The A-to-Z factors associated with cognitive impairment. Results of the DeCo study. Front Psychol 2023; 14:1152527. [PMID: 37408963 PMCID: PMC10319401 DOI: 10.3389/fpsyg.2023.1152527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 05/23/2023] [Indexed: 07/07/2023] Open
Abstract
Introduction Cognitive impairment (CI) is known to be mediated by several risk and protective factors, many of which are potentially modifiable. Therefore, it is important to have up-to-date studies that address a standard assessment of psychosocial, clinical and lifestyle variables. Materials and methods We conducted a cross-sectional observational study, with a 24-month timeframe, to estimate the relationship between risk and protective factors associated with dementia, according to the A-to-Z Dementia Knowledge. Participants were considered at CI risk if they tested positive for at least one of three validated CI screening tests: The Memory Impairment Screening, Short Portable Mental State Questionnaire, and Semantic Verbal Fluency. The A-to-Z data Collection included Mediterranean Diet Adherence Screener and Geriatric Depression Scale. Results The estimated prevalence of CI was 22.6% in a sample of 709 patients with an average of 69.3±10.3 years. The risk factors gradually associated with cognitive decline were hypertension, loneliness, and depression. In contrast, the protective factors gradually associated with less cognitive decline were internet use, reading, and intellectually stimulating jobs. Finally, living alone, having diabetes, taking benzodiazepines, and sleeping more than 9 h were statistically significant associated with CI, whereas to do memory training or a family history of dementia was characteristic of patients without CI. Conclusion A joint assessment of the influence of psychosocial, clinical, and lifestyle-related factors is needed to develop dementia prevention strategies.
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Affiliation(s)
- María Gil-Peinado
- Cátedra DeCo MICOF-CEU UCH, Universidad Cardenal Herrera-CEU, Valencia, Spain
- Muy Ilustre Colegio Oficial de Farmacéuticos, Valencia, Spain
| | - Mónica Alacreu
- Cátedra DeCo MICOF-CEU UCH, Universidad Cardenal Herrera-CEU, Valencia, Spain
- Department of Mathematics, Physics and Technological Sciences, Universidad CEU Cardenal Herrera, Valencia, Spain
| | - Hernán Ramos
- Cátedra DeCo MICOF-CEU UCH, Universidad Cardenal Herrera-CEU, Valencia, Spain
- Muy Ilustre Colegio Oficial de Farmacéuticos, Valencia, Spain
| | - José Sendra-Lillo
- Cátedra DeCo MICOF-CEU UCH, Universidad Cardenal Herrera-CEU, Valencia, Spain
- Muy Ilustre Colegio Oficial de Farmacéuticos, Valencia, Spain
| | - Cristina García
- Cátedra DeCo MICOF-CEU UCH, Universidad Cardenal Herrera-CEU, Valencia, Spain
| | - Gemma García-Lluch
- Cátedra DeCo MICOF-CEU UCH, Universidad Cardenal Herrera-CEU, Valencia, Spain
| | - Teresa Lopez de Coca
- Cátedra DeCo MICOF-CEU UCH, Universidad Cardenal Herrera-CEU, Valencia, Spain
- Department of Pharmacy, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, Spain
| | - Marta Sala
- Cátedra DeCo MICOF-CEU UCH, Universidad Cardenal Herrera-CEU, Valencia, Spain
| | - Lucrecia Moreno
- Cátedra DeCo MICOF-CEU UCH, Universidad Cardenal Herrera-CEU, Valencia, Spain
- Department of Pharmacy, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, Spain
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Gross AL, Li C, Briceno EM, Rentería MA, Jones RN, Langa KM, Manly JJ, Nichols EL, Weir D, Wong R, Berkman L, Lee J, Kobayashi LC. Harmonization of Later-Life Cognitive Function Across National Contexts: Results from the Harmonized Cognitive Assessment Protocols (HCAPs). MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.06.09.23291217. [PMID: 37398152 PMCID: PMC10312860 DOI: 10.1101/2023.06.09.23291217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Background The Harmonized Cognitive Assessment Protocol (HCAP) is an innovative instrument for cross-national comparisons of later-life cognitive function, yet its suitability across diverse populations is unknown. We aimed to harmonize general and domain-specific cognitive scores from HCAPs across six countries, and evaluate precision and criterion validity of the resulting harmonized scores. Methods We statistically harmonized general and domain-specific cognitive function across the six publicly available HCAP partner studies in the United States, England, India, Mexico, China, and South Africa (N=21,141). We used an item banking approach that leveraged common cognitive test items across studies and tests that were unique to studies, as identified by a multidisciplinary expert panel. We generated harmonized factor scores for general and domain- specific cognitive function using serially estimated graded-response item response theory (IRT) models. We evaluated precision of the factor scores using test information plots and criterion validity using age, gender, and educational attainment. Findings IRT models of cognitive function in each country fit well. We compared measurement reliability of the harmonized general cognitive function factor across each cohort using test information plots; marginal reliability was high (r> 0·90) for 93% of respondents across six countries. In each country, general cognitive function scores were lower with older ages and higher with greater levels of educational attainment. Interpretation We statistically harmonized cognitive function measures across six large, population-based studies of cognitive aging in the US, England, India, Mexico, China, and South Africa. Precision of the estimated scores was excellent. This work provides a foundation for international networks of researchers to make stronger inferences and direct comparisons of cross-national associations of risk factors for cognitive outcomes. Funding National Institute on Aging (R01 AG070953, R01 AG030153, R01 AG051125, U01 AG058499; U24 AG065182; R01AG051158).
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Zhang HG, Fan F, Zhong BL, Chiu HFK. Relationship between left-behind status and cognitive function in older Chinese adults: a prospective 3-year cohort study. Gen Psychiatr 2023; 36:e101054. [PMID: 37337546 PMCID: PMC10277132 DOI: 10.1136/gpsych-2023-101054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 05/11/2023] [Indexed: 06/21/2023] Open
Abstract
Background Due to the inaccuracy of the traditional geographical distance-based definition of left-behind status, data on the negative effect of left-behind status on cognitive function among older adults are controversial. Aims This study examined the cross-sectional and longitudinal associations of left-behind status with cognitive function in older Chinese adults. The left-behind status definition was based on the frequency of face-to-face parent-child meetings. Methods Data from a nationally representative sample of 8 682 older adults (60+ years) in 2015 (5 658 left behind and 3 024 non-left behind), of which 6 933 completed the follow-up in 2018, were obtained from the China Health and Retirement Longitudinal Study. Left-behind older adults were broadly defined as those aged 60+ years who had living adult children and saw their children less than once per month. The cognitive function was assessed with a composite cognitive test with higher total scores indicating better cognitive function. Results Left-behind older adults had significantly lower cognitive test scores than non-left-behind older adults in both 2015 (11.1 (6.0) vs 13.2 (5.9), t=15.863, p<0.001) and 2018 (10.0 (6.6) vs 12.4 (6.7), t=14.177, p<0.001). After adjusting for demographic factors, lifestyle factors, chronic medical conditions and the baseline cognitive test score (in the longitudinal analysis only), on average, the cognitive test score of left-behind older adults was 0.628 lower than their non-left-behind counterparts in 2015 (t=5.689, p<0.001). This difference in cognitive test scores attenuated to 0.322 but remained significant in 2018 (t=2.733, p=0.006). Conclusions Left-behind older Chinese adults have a higher risk of poor cognitive function and cognitive decline than their non-left-behind counterparts. Specific efforts targeting left-behind older adults, such as encouraging adult children to visit their parents more regularly, are warranted to maintain or delay the progression of cognitive decline.
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Affiliation(s)
- Hong-Guang Zhang
- Department of Psychiatry, Affiliated Wuhan Mental Health Center, Tongji Medical College of Huazhong University of Science & Technology, Wuhan, Hubei, China
- Department of Psychiatry, Wuhan Mental Health Center, Wuhan, Hubei, China
- Department of Clinical Psychology, Wuhan Hospital for Psychotherapy, Wuhan, Hubei, China
| | - Fang Fan
- Department of Psychiatry, Affiliated Wuhan Mental Health Center, Tongji Medical College of Huazhong University of Science & Technology, Wuhan, Hubei, China
- Department of Psychiatry, Wuhan Mental Health Center, Wuhan, Hubei, China
- Department of Clinical Psychology, Wuhan Hospital for Psychotherapy, Wuhan, Hubei, China
| | - Bao-Liang Zhong
- Department of Psychiatry, Affiliated Wuhan Mental Health Center, Tongji Medical College of Huazhong University of Science & Technology, Wuhan, Hubei, China
- Department of Psychiatry, Wuhan Mental Health Center, Wuhan, Hubei, China
- Department of Clinical Psychology, Wuhan Hospital for Psychotherapy, Wuhan, Hubei, China
| | - Helen Fung-Kum Chiu
- Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong, China
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Bernal J, Schreiber S, Menze I, Ostendorf A, Pfister M, Geisendörfer J, Nemali A, Maass A, Yakupov R, Peters O, Preis L, Schneider L, Herrera AL, Priller J, Spruth EJ, Altenstein S, Schneider A, Fliessbach K, Wiltfang J, Schott BH, Rostamzadeh A, Glanz W, Buerger K, Janowitz D, Ewers M, Perneczky R, Rauchmann BS, Teipel S, Kilimann I, Laske C, Munk MH, Spottke A, Roy N, Dobisch L, Dechent P, Scheffler K, Hetzer S, Wolfsgruber S, Kleineidam L, Schmid M, Berger M, Jessen F, Wirth M, Düzel E, Ziegler G. Arterial hypertension and β-amyloid accumulation have spatially overlapping effects on posterior white matter hyperintensity volume: a cross-sectional study. Alzheimers Res Ther 2023; 15:97. [PMID: 37226207 DOI: 10.1186/s13195-023-01243-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 05/09/2023] [Indexed: 05/26/2023]
Abstract
BACKGROUND White matter hyperintensities (WMH) in subjects across the Alzheimer's disease (AD) spectrum with minimal vascular pathology suggests that amyloid pathology-not just arterial hypertension-impacts WMH, which in turn adversely influences cognition. Here we seek to determine the effect of both hypertension and Aβ positivity on WMH, and their impact on cognition. METHODS We analysed data from subjects with a low vascular profile and normal cognition (NC), subjective cognitive decline (SCD), and amnestic mild cognitive impairment (MCI) enrolled in the ongoing observational multicentre DZNE Longitudinal Cognitive Impairment and Dementia Study (n = 375, median age 70.0 [IQR 66.0, 74.4] years; 178 female; NC/SCD/MCI 127/162/86). All subjects underwent a rich neuropsychological assessment. We focused on baseline memory and executive function-derived from multiple neuropsychological tests using confirmatory factor analysis-, baseline preclinical Alzheimer's cognitive composite 5 (PACC5) scores, and changes in PACC5 scores over the course of three years (ΔPACC5). RESULTS Subjects with hypertension or Aβ positivity presented the largest WMH volumes (pFDR < 0.05), with spatial overlap in the frontal (hypertension: 0.42 ± 0.17; Aβ: 0.46 ± 0.18), occipital (hypertension: 0.50 ± 0.16; Aβ: 0.50 ± 0.16), parietal lobes (hypertension: 0.57 ± 0.18; Aβ: 0.56 ± 0.20), corona radiata (hypertension: 0.45 ± 0.17; Aβ: 0.40 ± 0.13), optic radiation (hypertension: 0.39 ± 0.18; Aβ: 0.74 ± 0.19), and splenium of the corpus callosum (hypertension: 0.36 ± 0.12; Aβ: 0.28 ± 0.12). Elevated global and regional WMH volumes coincided with worse cognitive performance at baseline and over 3 years (pFDR < 0.05). Aβ positivity was negatively associated with cognitive performance (direct effect-memory: - 0.33 ± 0.08, pFDR < 0.001; executive: - 0.21 ± 0.08, pFDR < 0.001; PACC5: - 0.29 ± 0.09, pFDR = 0.006; ΔPACC5: - 0.34 ± 0.04, pFDR < 0.05). Splenial WMH mediated the relationship between hypertension and cognitive performance (indirect-only effect-memory: - 0.05 ± 0.02, pFDR = 0.029; executive: - 0.04 ± 0.02, pFDR = 0.067; PACC5: - 0.05 ± 0.02, pFDR = 0.030; ΔPACC5: - 0.09 ± 0.03, pFDR = 0.043) and WMH in the optic radiation partially mediated that between Aβ positivity and memory (indirect effect-memory: - 0.05 ± 0.02, pFDR = 0.029). CONCLUSIONS Posterior white matter is susceptible to hypertension and Aβ accumulation. Posterior WMH mediate the association between these pathologies and cognitive dysfunction, making them a promising target to tackle the downstream damage related to the potentially interacting and potentiating effects of the two pathologies. TRIAL REGISTRATION German Clinical Trials Register (DRKS00007966, 04/05/2015).
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Affiliation(s)
- Jose Bernal
- Institute of Cognitive Neurology and Dementia Research, Otto-Von-Guericke University Magdeburg, Magdeburg, Germany.
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany.
| | - Stefanie Schreiber
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany
- Department of Neurology, Medical Faculty, University Hospital Magdeburg, Magdeburg, Germany
| | - Inga Menze
- Institute of Cognitive Neurology and Dementia Research, Otto-Von-Guericke University Magdeburg, Magdeburg, Germany
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany
| | - Anna Ostendorf
- Institute of Cognitive Neurology and Dementia Research, Otto-Von-Guericke University Magdeburg, Magdeburg, Germany
| | - Malte Pfister
- Department of Neurology, Medical Faculty, University Hospital Magdeburg, Magdeburg, Germany
| | - Jonas Geisendörfer
- Department of Neurology, Medical Faculty, University Hospital Magdeburg, Magdeburg, Germany
| | - Aditya Nemali
- Institute of Cognitive Neurology and Dementia Research, Otto-Von-Guericke University Magdeburg, Magdeburg, Germany
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany
| | - Anne Maass
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany
| | - Renat Yakupov
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany
| | - Oliver Peters
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin-Institute of Psychiatry and Psychotherapy, Berlin, Germany
| | - Lukas Preis
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin-Institute of Psychiatry and Psychotherapy, Berlin, Germany
| | - Luisa Schneider
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin-Institute of Psychiatry and Psychotherapy, Berlin, Germany
| | - Ana Lucia Herrera
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin-Institute of Psychiatry and Psychotherapy, Berlin, Germany
| | - Josef Priller
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany
- School of Medicine, Department of Psychiatry and Psychotherapy, Technical University of Munich, Munich, Germany
- University of Edinburgh and UK DRI, Edinburgh, UK
| | - Eike Jakob Spruth
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Slawek Altenstein
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Anja Schneider
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Clinic for Neurodegenerative Diseases and Geriatric Psychiatry, University of Bonn, Bonn, Germany
| | - Klaus Fliessbach
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Clinic for Neurodegenerative Diseases and Geriatric Psychiatry, University of Bonn, Bonn, Germany
| | - Jens Wiltfang
- German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Goettingen, Germany
- Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
| | - Björn H Schott
- German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, University of Goettingen, Goettingen, Germany
| | - Ayda Rostamzadeh
- Department of Psychiatry, University of Cologne, Cologne, Germany
| | - Wenzel Glanz
- Institute of Cognitive Neurology and Dementia Research, Otto-Von-Guericke University Magdeburg, Magdeburg, Germany
| | - Katharina Buerger
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Daniel Janowitz
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Michael Ewers
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Robert Perneczky
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy) Munich, Munich, Germany
- Ageing Epidemiology Research Unit (AGE), School of Public Health, Imperial College London, London, UK
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
| | - Boris-Stephan Rauchmann
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Stefan Teipel
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany
- Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
| | - Ingo Kilimann
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany
- Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
| | - Christoph Laske
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
- Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Matthias H Munk
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
- Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Annika Spottke
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Clinic for Neurodegenerative Diseases and Geriatric Psychiatry, University of Bonn, Bonn, Germany
| | - Nina Roy
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Laura Dobisch
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany
| | - Peter Dechent
- MR-Research in Neurosciences, Department of Cognitive Neurology, Georg-August-University Goettingen, Göttingen, Germany
| | - Klaus Scheffler
- Department for Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany
| | - Stefan Hetzer
- Berlin Center for Advanced Neuroimaging, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Steffen Wolfsgruber
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Clinic for Neurodegenerative Diseases and Geriatric Psychiatry, University of Bonn, Bonn, Germany
| | - Luca Kleineidam
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Clinic for Neurodegenerative Diseases and Geriatric Psychiatry, University of Bonn, Bonn, Germany
| | - Matthias Schmid
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Institute for Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
| | - Moritz Berger
- Institute for Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
| | - Frank Jessen
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Psychiatry, University of Cologne, Cologne, Germany
- Excellence Cluster On Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Miranka Wirth
- German Center for Neurodegenerative Diseases (DZNE), Tatzberg 41, Dresden, 01307, Germany.
| | - Emrah Düzel
- Institute of Cognitive Neurology and Dementia Research, Otto-Von-Guericke University Magdeburg, Magdeburg, Germany
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany
- Institute of Cognitive Neuroscience, University College London, London, UK
| | - Gabriel Ziegler
- Institute of Cognitive Neurology and Dementia Research, Otto-Von-Guericke University Magdeburg, Magdeburg, Germany
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany
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Gao D, Cai YS, Pan Y, Ma Q, Xie W. Editorial: Epidemiology and clinical researches in atherosclerosis and cardiovascular disease. Front Cardiovasc Med 2023; 10:1212269. [PMID: 37260944 PMCID: PMC10227588 DOI: 10.3389/fcvm.2023.1212269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 05/02/2023] [Indexed: 06/02/2023] Open
Affiliation(s)
- Darui Gao
- Heart and Vascular Health Research Center, Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Yutong Samuel Cai
- Centre for Environmental Health and Sustainability, University of Leicester, Leicester, United Kingdom
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Qian Ma
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Wuxiang Xie
- Heart and Vascular Health Research Center, Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
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Wang Y, Li C, Liang J, Gao D, Pan Y, Zhang W, Zhang Y, Zheng F, Xie W. Onset age of diabetes and incident dementia: A prospective cohort study. J Affect Disord 2023; 329:493-499. [PMID: 36868384 DOI: 10.1016/j.jad.2023.02.138] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 02/23/2023] [Accepted: 02/25/2023] [Indexed: 03/05/2023]
Abstract
BACKGROUND Relationship between age at diagnosis of diabetes and dementia is lacking. The aim of the study was to investigate whether diabetes onset at a younger age was associated with a higher incidence of dementia. METHODS 466,207 participants free of dementia in the UK biobank (UKB) were included in the analysis. Propensity score matching (PSM) was adopted to match diabetic and non-diabetic participants in different onset age of diabetes groups to evaluate onset age of diabetes and incident dementia. RESULTS Compared with non-diabetic participants, diabetes participants had an adjusted hazard ratio (HR) of 1.87 (95 % confidence interval [CI]: 1.73-2.03) for all-cause dementia, 1.85 (95 % CI: 1.60-2.04) for Alzheimer's disease (AD), and 2.86 (95 % CI: 2.47-3.32) for vascular dementia (VD). Among diabetic participants who reported onset age, the adjusted HRs for incident all-cause dementia, AD, and VD were 1.20 (95 % CI: 1.14-1.25), 1.19 (95 % CI: 1.10-1.29), and 1.19 (95 % CI: 1.10-1.28), respectively, per 10 years decrease in age at diabetes onset. After PSM, strength of association between diabetes and all-cause dementia increased with decreasing onset age of diabetes (≥60 years: HR = 1.47, 95 % CI: 1.25-1.74; 45-59 years: HR = 1.66, 95 % CI: 1.40-1.96; <45 years: HR = 2.92, 95 % CI: 2.13-4.01) after multivariable adjustment. Similarly, diabetic participants with onset age <45 years had greatest HRs for incident AD and VD, compared with their matched controls. LIMITATIONS Our results only reflect the characteristics of UKB participants. CONCLUSIONS Younger age at diabetes onset was significantly associated with a higher risk of dementia in this longitudinal cohort study.
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Affiliation(s)
- Yongqian Wang
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China; Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing, China; PUCRI Heart and Vascular Health Research Centre at Peking University Shougang Hospital, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing, China
| | - Chenglong Li
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China; PUCRI Heart and Vascular Health Research Centre at Peking University Shougang Hospital, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing, China
| | - Jie Liang
- School of Nursing, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Darui Gao
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China; PUCRI Heart and Vascular Health Research Centre at Peking University Shougang Hospital, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing, China
| | - Yang Pan
- School of Nursing, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Wenya Zhang
- School of Nursing, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Yang Zhang
- Department of Endocrinology, Peking University First Hospital, Beijing, China
| | - Fanfan Zheng
- School of Nursing, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
| | - Wuxiang Xie
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China; PUCRI Heart and Vascular Health Research Centre at Peking University Shougang Hospital, Beijing, China; Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing, China.
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Jing Y, Wang W, Peng W, Wang M, Chen X, Liu X, Wang P, Yan F, Yang Y, Wang X, Sun S, Ruan Y, Wang Y. Social support and cognitive function in Chinese older adults who experienced depressive symptoms: is there an age difference? Front Aging Neurosci 2023; 15:1175252. [PMID: 37251805 PMCID: PMC10213363 DOI: 10.3389/fnagi.2023.1175252] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 04/19/2023] [Indexed: 05/31/2023] Open
Abstract
Objective This study examined the moderating effect of overall social support and the different types of social support on cognitive functioning in depressed older adults. We also investigated whether the moderating effect varied according to age. Methods A total of 2,500 older adults (≥60 years old) from Shanghai, China were enrolled using a multistage cluster sampling method. Weighted linear regression and multiple linear regression was utilized to analyze the moderating effect of social support on the relationship between depressive symptoms and cognitive function and to explore its differences in those aged 60-69, 70-79, and 80 years and above. Results After adjusting for covariates, the results indicated that overall social support (β = 0.091, p = 0.043) and support utilization (β = 0.213, p < 0.001) moderated the relationship between depressive symptoms and cognitive function. Support utilization reduced the possibility of the cognitive decline in depressed older adults aged 60-69 years (β = 0.310, p < 0.001) and 80 years and above (β = 0.199, p < 0.001), while objective support increased the possibility of cognitive decline in depressed older people aged 70-79 years (β = -0.189, p < 0.001). Conclusion Our findings highlight the buffering effects of support utilization on cognitive decline in depressed older adults. We suggest that age-specific measures should be taken when providing social support to depressed older adults in order to reduce the deterioration of cognitive function.
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Affiliation(s)
- Yurong Jing
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Health Technology Assessment, National Health and Family Planning, Commission of the People’s Republic of China, Fudan University, Shanghai, China
| | - Wei Wang
- School of Public Health, Fudan University, Shanghai, China
| | - Wenjia Peng
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Health Technology Assessment, National Health and Family Planning, Commission of the People’s Republic of China, Fudan University, Shanghai, China
| | - Meng Wang
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Health Technology Assessment, National Health and Family Planning, Commission of the People’s Republic of China, Fudan University, Shanghai, China
| | - Xiaoli Chen
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Health Technology Assessment, National Health and Family Planning, Commission of the People’s Republic of China, Fudan University, Shanghai, China
| | - Xinya Liu
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Health Technology Assessment, National Health and Family Planning, Commission of the People’s Republic of China, Fudan University, Shanghai, China
| | - Pengfei Wang
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Health Technology Assessment, National Health and Family Planning, Commission of the People’s Republic of China, Fudan University, Shanghai, China
| | - Fei Yan
- School of Public Health, Fudan University, Shanghai, China
| | - Yinghua Yang
- Shanghai Center for Clinical Laboratory, Shanghai, China
| | - Xinguo Wang
- College of Public Health, Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Shuangyuan Sun
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Ye Ruan
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Ying Wang
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Health Technology Assessment, National Health and Family Planning, Commission of the People’s Republic of China, Fudan University, Shanghai, China
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Luo J, Thomassen JQ, Bellenguez C, Grenier-Boley B, de Rojas I, Castillo A, Parveen K, Küçükali F, Nicolas A, Peters O, Schneider A, Dichgans M, Rujescu D, Scherbaum N, Jürgen D, Riedel-Heller S, Hausner L, Porcel LM, Düzel E, Grimmer T, Wiltfang J, Heilmann-Heimbach S, Moebus S, Tegos T, Scarmeas N, Clarimon J, Moreno F, Pérez-Tur J, Bullido MJ, Pastor P, Sánchez-Valle R, Álvarez V, Boada M, García-González P, Puerta R, Mir P, Real LM, Piñol-Ripoll G, García-Alberca JM, Royo JL, Rodriguez-Rodriguez E, Soininen H, Kuulasmaa T, de Mendonça A, Mehrabian S, Hort J, Vyhnalek M, van der Lee S, Graff C, Papenberg G, Giedraitis V, Boland A, Bacq-Daian D, Deleuze JF, Nicolas G, Dufouil C, Pasquier F, Hanon O, Debette S, Grünblatt E, Popp J, Benussi L, Galimberti D, Arosio B, Mecocci P, Solfrizzi V, Parnetti L, Squassina A, Tremolizzo L, Borroni B, Nacmias B, Sorbi S, Caffarra P, Seripa D, Rainero I, Daniele A, Masullo C, Spalletta G, Williams J, Amouyel P, Jessen F, Kehoe P, Tsolaki M, Rossi G, Sánchez-Juan P, Sleegers K, Ingelsson M, Andreassen OA, Hiltunen M, Van Duijn C, Sims R, van der Flier W, Ruiz A, Ramirez A, Lambert JC, Frikke-Schmidt R. Genetic Associations Between Modifiable Risk Factors and Alzheimer Disease. JAMA Netw Open 2023; 6:e2313734. [PMID: 37195665 PMCID: PMC10193187 DOI: 10.1001/jamanetworkopen.2023.13734] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 03/18/2023] [Indexed: 05/18/2023] Open
Abstract
Importance An estimated 40% of dementia is potentially preventable by modifying 12 risk factors throughout the life course. However, robust evidence for most of these risk factors is lacking. Effective interventions should target risk factors in the causal pathway to dementia. Objective To comprehensively disentangle potentially causal aspects of modifiable risk factors for Alzheimer disease (AD) to inspire new drug targeting and improved prevention. Design, Setting, and Participants This genetic association study was conducted using 2-sample univariable and multivariable mendelian randomization. Independent genetic variants associated with modifiable risk factors were selected as instrumental variables from genomic consortia. Outcome data for AD were obtained from the European Alzheimer & Dementia Biobank (EADB), generated on August 31, 2021. Main analyses were conducted using the EADB clinically diagnosed end point data. All analyses were performed between April 12 and October 27, 2022. Exposures Genetically determined modifiable risk factors. Main Outcomes and Measures Odds ratios (ORs) and 95% CIs for AD were calculated per 1-unit change of genetically determined risk factors. Results The EADB-diagnosed cohort included 39 106 participants with clinically diagnosed AD and 401 577 control participants without AD. The mean age ranged from 72 to 83 years for participants with AD and 51 to 80 years for control participants. Among participants with AD, 54% to 75% were female, and among control participants, 48% to 60% were female. Genetically determined high-density lipoprotein (HDL) cholesterol concentrations were associated with increased odds of AD (OR per 1-SD increase, 1.10 [95% CI, 1.05-1.16]). Genetically determined high systolic blood pressure was associated with increased risk of AD after adjusting for diastolic blood pressure (OR per 10-mm Hg increase, 1.22 [95% CI, 1.02-1.46]). In a second analysis to minimize bias due to sample overlap, the entire UK Biobank was excluded from the EADB consortium; odds for AD were similar for HDL cholesterol (OR per 1-SD unit increase, 1.08 [95% CI, 1.02-1.15]) and systolic blood pressure after adjusting for diastolic blood pressure (OR per 10-mm Hg increase, 1.23 [95% CI, 1.01-1.50]). Conclusions and Relevance This genetic association study found novel genetic associations between high HDL cholesterol concentrations and high systolic blood pressure with higher risk of AD. These findings may inspire new drug targeting and improved prevention implementation.
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Affiliation(s)
- Jiao Luo
- Department of Clinical Biochemistry, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
| | - Jesper Qvist Thomassen
- Department of Clinical Biochemistry, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
| | - Céline Bellenguez
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur Lille, U1167-RID-AGE-Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Lille, France
| | - Benjamin Grenier-Boley
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur Lille, U1167-RID-AGE-Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Lille, France
| | - Itziar de Rojas
- Research Center and Memory clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
- Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Atahualpa Castillo
- Division of Psychological Medicine and Clinical Neuroscience, School of Medicine, Cardiff University, Wales, United Kingdom
| | - Kayenat Parveen
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Department of Neurodegenerative diseases and Geriatric Psychiatry, University Hospital Bonn, Medical Faculty, Bonn, Germany
| | - Fahri Küçükali
- Complex Genetics of Alzheimer's Disease Group, VIB Center for Molecular Neurology, Antwerp, Belgium
- Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Aude Nicolas
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur Lille, U1167-RID-AGE-Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Lille, France
| | - Oliver Peters
- German Center for Neurodegenerative Diseases, Berlin, Germany
- Institute of Psychiatry and Psychotherapy, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Psychiatry and Psychotherapy, Berlin, Germany
| | - Anja Schneider
- German Center for Neurodegenerative Diseases, Bonn, Germany
- Department for Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
- German Center for Neurodegenerative Diseases, Munich, Germany
- Munich Cluster for Systems Neurology, Munich, Germany
| | - Dan Rujescu
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Centre for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Norbert Scherbaum
- LVR-Hospital Essen, Department of Psychiatry and Psychotherapy, Medical Faculty, University of Duisburg-Essen, Essen, Germany
| | - Deckert Jürgen
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital of Würzburg, Würzburg, Germany
| | - Steffi Riedel-Heller
- Institute of Social Medicine, Occupational Health and Public Health (ISAP), University of Leipzig, Leipzig, Germany
| | - Lucrezia Hausner
- Department of Geriatric Psychiatry, Central Institute for Mental Health Mannheim, Faculty Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Laura Molina Porcel
- Neurological Tissue Bank, Biobanc Hospital Clinic, Instituto de Investigaciones Biomédicas August Pi i Sunyer, Barcelona, Spain
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Department, Hospital Clinic, Barcelona, Spain
| | - Emrah Düzel
- German Center for Neurodegenerative Diseases, Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University, Magdeburg, Germany
| | - Timo Grimmer
- Technical University of Munich, School of Medicine, Klinikum rechts der Isar, Department of Psychiatry and Psychotherapy, Munich, Germany
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, Goettingen, Germany
- German Center for Neurodegenerative Diseases, Goettingen, Germany
- Medical Science Department, Instituto de Biomedicina, Aveiro, Portugal
| | - Stefanie Heilmann-Heimbach
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
| | - Susanne Moebus
- Institute for Urban Public Health, University Hospital of University Duisburg-Essen, Essen, Germany
| | - Thomas Tegos
- First Department of Neurology, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Nikolaos Scarmeas
- First Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens, Medical School, Athens, Greece
- Taub Institute for Research in Alzheimer's Disease and the Aging Brain, The Gertrude H. Sergievsky Center, Department of Neurology, Columbia University, New York, New York
| | - Jordi Clarimon
- Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Department of Neurology, II B Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Fermin Moreno
- Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Department of Neurology, Hospital Universitario Donostia, San Sebastian, Spain
- Neurosciences Area, Instituto Biodonostia, San Sebastian, Spain
| | - Jordi Pérez-Tur
- Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Unitat de Genètica Molecular, Institut de Biomedicina de València, Consejo Superior de Investigaciones Científicas, Valencia, Spain
- Unidad Mixta de Neurologia Genètica, Instituto de Investigación Sanitaria La Fe, Valencia, Spain
| | - María J Bullido
- Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Centro de Biología Molecular Severo Ochoa, UAM-CSIC, Madrid, Spain
- Instituto de Investigacion Sanitaria Hospital la Paz, Madrid, Spain
| | - Pau Pastor
- Unit of Neurodegenerative Diseases, Department of Neurology, University Hospital Germans Trias i Pujol and The Germans Trias i Pujol Research Institute (IGTP) Badalona, Barcelona, Spain
| | - Raquel Sánchez-Valle
- Alzheimer's Disease and Other Cognitive Disorders Unit, Service of Neurology, Hospital Clínic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer, University of Barcelona, Barcelona, Spain
| | - Victoria Álvarez
- Laboratorio de Genética, Hospital Universitario Central de Asturias, Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias, Asturias, Spain
| | - Mercè Boada
- Research Center and Memory clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
- Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Pablo García-González
- Research Center and Memory clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Raquel Puerta
- Research Center and Memory clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Pablo Mir
- Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío, Consejo Superior de Investigaciones Científicas, Universidad de Sevilla, Seville, Spain
| | - Luis M Real
- Unidad Clínica de Enfermedades Infecciosas y Microbiología, Hospital Universitario de Valme, Sevilla, Spain
- Depatamento de Especialidades Quirúrgicas, Bioquímica e Inmunología, Facultad de Medicina, Universidad de Málaga, Málaga, Spain
| | - Gerard Piñol-Ripoll
- Unitat Trastorns Cognitius, Hospital Universitari Santa Maria de Lleida, Lleida, Spain
- Institut de Recerca Biomedica de Lleida, Lleida, Spain
| | - Jose María García-Alberca
- Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Alzheimer Research Center & Memory Clinic, Instituto Andaluz de Neurociencia, Málaga, Spain
| | - Jose Luís Royo
- Depatamento de Especialidades Quirúrgicas, Bioquímica e Inmunología, Facultad de Medicina, Universidad de Málaga, Málaga, Spain
| | - Eloy Rodriguez-Rodriguez
- Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Neurology Service, Marqués de Valdecilla University Hospital, University of Cantabria and IDIVAL, Santander, Spain
| | - Hilkka Soininen
- Institute of Clinical Medicine, Neurology, University of Eastern Finland, Kuopio, Finland
| | - Teemu Kuulasmaa
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
| | | | - Shima Mehrabian
- Clinic of Neurology, UH "Alexandrovska," Medical University-Sofia, Sofia, Bulgaria
| | - Jakub Hort
- Memory Clinic, Department of Neurology, Charles University, Second Faculty of Medicine and Motol University Hospital, Prague, Czech Republic
- International Clinical Research Center, St Anne's University Hospital Brno, Brno, Czech Republic
| | - Martin Vyhnalek
- Memory Clinic, Department of Neurology, Charles University, Second Faculty of Medicine and Motol University Hospital, Prague, Czech Republic
- International Clinical Research Center, St Anne's University Hospital Brno, Brno, Czech Republic
| | - Sven van der Lee
- Genomics of Neurodegenerative Diseases and Aging, Human Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC, locatie VUmc, Amsterdam, the Netherlands
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC, locatie VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
| | - Caroline Graff
- Unit for Hereditary Dementias, Theme Aging, Karolinska University Hospital-Solna, Stockholm, Sweden
| | - Goran Papenberg
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Vilmantas Giedraitis
- Department of Public Health and Caring Sciences/ and Geriatrics, Uppsala University, Uppsala, Sweden
| | - Anne Boland
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, Evry, France
| | - Delphine Bacq-Daian
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, Evry, France
| | - Jean-François Deleuze
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, Evry, France
| | - Gael Nicolas
- Normandie Univ, Université de Rouen Normandie, Inserm U1245 and CHU Rouen, Department of Genetics and Centre national de référence pour les malades Alzheimer jeunes, Rouen, France
| | - Carole Dufouil
- Inserm, Bordeaux Population Health Research Center, UMR 1219, University of Bordeaux, ISPED, CIC 1401-EC, Bordeaux, France
- CHU de Bordeaux, Pole santé publique, Bordeaux, France
| | - Florence Pasquier
- University of Lille, Inserm, CHU Lille, UMR1172, Resources and Research Memory Center of Distalz, Licend, Lille, France
| | - Olivier Hanon
- Université de Paris, EA 4468, Assistance Publique - Hôpitaux de Paris, Hôpital Broca, Paris, France
| | - Stéphanie Debette
- University Bordeaux, Inserm, Bordeaux Population Health Research Center, France
- Department of Neurology, Bordeaux University Hospital, Bordeaux, France
| | - Edna Grünblatt
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
- Zurich Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland
| | - Julius Popp
- Old Age Psychiatry, Department of Psychiatry, Lausanne University Hospital, Lausanne, Switzerland
- Department of Geriatric Psychiatry, University Hospital of Psychiatry Zürich, Zürich, Switzerland
- Department of Psychiatry, Psychotherapy and Psychosomatics, University of Zürich, Zurich, Switzerland
| | - Luisa Benussi
- Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Daniela Galimberti
- Neurodegenerative Diseases Unit, Fondazione IRCCS Ca' Granda, Ospedale Policlinico, Milan, Italy
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
| | - Beatrice Arosio
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
- Geriatric Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Patrizia Mecocci
- Institute of Gerontology and Geriatrics, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Vincenzo Solfrizzi
- Interdisciplinary Department of Medicine, Geriatric Medicine and Memory Unit, University of Bari Aldo Moro, Bari, Italy
| | - Lucilla Parnetti
- Centre for Memory Disturbances, Lab of Clinical Neurochemistry, Section of Neurology, University of Perugia, Perugia, Italy
| | - Alessio Squassina
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy
| | - Lucio Tremolizzo
- Neurology Unit, Hospital San Gerardo, Monza and University of Milano-Bicocca, Milan, Italy
| | - Barbara Borroni
- Centre for Neurodegenerative Disorders, Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Benedetta Nacmias
- Department of Neuroscience, Psychology, Drug Research and Child Health University of Florence, Florence, Italy
- IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Sandro Sorbi
- Department of Neuroscience, Psychology, Drug Research and Child Health University of Florence, Florence, Italy
- IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | | | - Davide Seripa
- Laboratory for Advanced Hematological Diagnostics, Department of Hematology and Stem Cell Transplant, Vito Fazzi Hospital, Lecce, Italy
| | - Innocenzo Rainero
- Department of Neuroscience Rita Levi Montalcini, University of Torino, Torino, Italy
| | - Antonio Daniele
- Department of Neuroscience, Università Cattolica del Sacro Cuore, Rome, Italy
- Neurology Unit, IRCCS Fondazione Policlinico Universitario A. Gemelli, Rome, Italy
| | - Carlo Masullo
- Institute of Neurology, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Gianfranco Spalletta
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, Rome, Italy
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas
| | - Julie Williams
- UK Dementia Research Institute at Cardiff, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Philippe Amouyel
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur Lille, U1167-RID-AGE-Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Lille, France
| | - Frank Jessen
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- German Center for Neurodegenerative Diseases, Bonn, Germany
- Cluster of Excellence Cellular Stress Responses in Aging-Associated Diseases, University of Cologne, Cologne, Germany
| | - Patrick Kehoe
- Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Magda Tsolaki
- First Department of Neurology, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Giacomina Rossi
- Unit of Neurology V - Neuropathology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Pascual Sánchez-Juan
- Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
- Alzheimer's Centre Reina Sofia-CIEN Foundation-ISCIII, Madrid, Spain
| | - Kristel Sleegers
- Complex Genetics of Alzheimer's Disease Group, VIB Center for Molecular Neurology, Antwerp, Belgium
- Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Martin Ingelsson
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, Evry, France
- Krembil Brain Institute, University Health Network, Toronto, Canada
- Department of Medicine and Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Canada
| | - Ole A Andreassen
- NORMENT Centre, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Mikko Hiltunen
- Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
| | - Cornelia Van Duijn
- Department of Epidemiology, ErasmusMC, Rotterdam, the Netherlands
- Nuffield Department of Population Health, Oxford University, Oxford, United Kingdom
| | - Rebecca Sims
- Division of Psychological Medicine and Clinical Neuroscience, School of Medicine, Cardiff University, Wales, United Kingdom
| | - Wiesje van der Flier
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC, locatie VUmc, Amsterdam, the Netherlands
| | - Agustín Ruiz
- Research Center and Memory clinic Fundació ACE, Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
- Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Alfredo Ramirez
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Department of Neurodegenerative diseases and Geriatric Psychiatry, University Hospital Bonn, Medical Faculty, Bonn, Germany
- German Center for Neurodegenerative Diseases, Bonn, Germany
- Cluster of Excellence Cellular Stress Responses in Aging-Associated Diseases, University of Cologne, Cologne, Germany
- Department of Psychiatry and Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, San Antonio, Texas
| | - Jean-Charles Lambert
- Univ. Lille, Inserm, CHU Lille, Institut Pasteur Lille, U1167-RID-AGE-Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Lille, France
| | - Ruth Frikke-Schmidt
- Department of Clinical Biochemistry, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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Parada H, Bergstrom J, Bangen KJ, Reas ET. Pulse pressure trajectories predict brain microstructure in community-dwelling older adults: Associations with executive function and modification by APOE. Alzheimers Dement 2023; 19:1963-1973. [PMID: 36377803 PMCID: PMC10182213 DOI: 10.1002/alz.12844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 08/16/2022] [Accepted: 10/05/2022] [Indexed: 11/16/2022]
Abstract
INTRODUCTION Effects of chronic arterial stiffness on brain aging remain unclear. We, therefore, examined whether long-term trajectories of pulse pressure (PP) predicted brain microstructure, microstructure mediated PP-executive function associations, and APOE genotype modified PP-microstructure associations. METHODS We examined associations of PP trajectories with brain microstructure measured using restriction spectrum imaging in 146 community-dwelling older adults, whether microstructure mediated PP trajectory-executive function associations, and whether PP-restriction spectrum imaging correlations were modified by APOE-ε4 status. RESULTS Participants with trajectories of high PP had lower restricted isotropic diffusion (RI) compared to those with low PP trajectories and PP-executive function associations were mediated by subcortical and white matter RI. High PP more strongly correlated with lower RI and higher hindered diffusion among APOE-ε4 carriers than non-carriers. DISCUSSION Prolonged elevated PP predicts microstructural abnormalities which may contribute to impaired executive function. APOE-ε4 carriers may be most vulnerable to the adverse effects of PP on brain microstructure.
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Affiliation(s)
- Humberto Parada
- Division of Epidemiology and Biostatistics, School of Public Health, San Diego State University, San Diego, CA, USA
- University of California, San Diego Moores Cancer Center, La Jolla, CA, USA
- Department of Radiation Medicine & Applied Science, University of California, San Diego, La Jolla, CA, USA
| | - Jaclyn Bergstrom
- Division of Epidemiology, Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA, USA
| | - Katherine J. Bangen
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
- Research Service, VA San Diego Healthcare System, San Diego, CA, USA
| | - Emilie T. Reas
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
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Domanski MJ, Wu CO, Tian X, Hasan AA, Ma X, Huang Y, Miao R, Reis JP, Bae S, Husain A, Jacobs DR, Allen NB, Lee MLT, Hong CC, Farkouh ME, Lloyd-Jones DM, Fuster V. Association of Incident Cardiovascular Disease With Time Course and Cumulative Exposure to Multiple Risk Factors. J Am Coll Cardiol 2023; 81:1151-1161. [PMID: 36948731 DOI: 10.1016/j.jacc.2023.01.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 01/06/2023] [Accepted: 01/17/2023] [Indexed: 03/24/2023]
Abstract
BACKGROUND The quantitative relationship of incident cardiovascular disease (CVD) to lifetime cumulative risk factor exposure is not well understood. OBJECTIVES Using CARDIA (Coronary Artery Risk Development in Young Adults) study data, we examined the quantitative associations of cumulative exposure over time to multiple, simultaneously operating risk factors with CVD incidence and the incidence of its components. METHODS Regression models were developed quantifying the influence of the time course and severity of multiple CVD risk factors, operating simultaneously, on risk of incident CVD. The outcomes were incident CVD and the incidence of its components: coronary heart disease, stroke, and congestive heart failure. RESULTS Our study included 4,958 asymptomatic adults enrolled in CARDIA from 1985 to 1986 (ages 18 to 30 years) who were followed for 30 years. Risk of incident CVD depends on the time course and severity of a series of independent risk factors, the impact of which is mediated by their effects on individual CVD components after age 40 years. Cumulative exposure (AUC vs time) to low-density lipoprotein cholesterol and triglycerides was independently associated with risk of incident CVD. Of the blood pressure variables, areas under the mean arterial pressure vs time curve and the pulse pressure vs time curve were strongly and independently associated with incident CVD risk. CONCLUSIONS The quantitative description of the link between risk factors and CVD informs the construction of individualized CVD mitigation strategies, design of primary prevention trials, and assessment of public health impact of risk factor-based interventions.
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Affiliation(s)
- Michael J Domanski
- Division of Cardiovascular Medicine and Data Science Initiative, University of Maryland School of Medicine and the VA Medical Center, Baltimore, Maryland, USA.
| | - Colin O Wu
- Office of Biostatistics Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Xin Tian
- Office of Biostatistics Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Ahmed A Hasan
- Division of Cardiovascular Medicine and Data Science Initiative, University of Maryland School of Medicine and the VA Medical Center, Baltimore, Maryland, USA; Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, Maryland, USA
| | - Xiaoyang Ma
- Office of Biostatistics Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Yi Huang
- Division of Cardiovascular Medicine and Data Science Initiative, University of Maryland School of Medicine and the VA Medical Center, Baltimore, Maryland, USA; Department of Mathematics and Statistics, University of Maryland Baltimore County, Baltimore, Maryland, USA
| | - Rui Miao
- Office of Biostatistics Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Jared P Reis
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, Maryland, USA
| | - Sejong Bae
- Division of Preventive Medicine, University of Alabama at Birmingham School of Medicine, Birmingham, Alabama, USA
| | - Anwar Husain
- Division of Cardiovascular Medicine and Data Science Initiative, University of Maryland School of Medicine and the VA Medical Center, Baltimore, Maryland, USA
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Norrina B Allen
- Department of Preventive Medicine, Northwestern Feinberg School of Medicine, Chicago, Illinois, USA
| | - Mei-Ling T Lee
- Department of Epidemiology and Biostatistics, University of Maryland, College Park, Maryland, USA
| | - Charles C Hong
- Division of Cardiovascular Medicine and Data Science Initiative, University of Maryland School of Medicine and the VA Medical Center, Baltimore, Maryland, USA
| | - Michael E Farkouh
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Donald M Lloyd-Jones
- Department of Preventive Medicine, Northwestern Feinberg School of Medicine, Chicago, Illinois, USA
| | - Valentin Fuster
- Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
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Jiang C, Li S, Wang Y, Lai Y, Bai Y, Zhao M, He L, Kong Y, Guo X, Li S, Liu N, Jiang C, Tang R, Sang C, Long D, Du X, Dong J, Anderson CS, Ma C. Diastolic Blood Pressure and Intensive Blood Pressure Control on Cognitive Outcomes: Insights From the SPRINT MIND Trial. Hypertension 2023; 80:580-589. [PMID: 36688305 DOI: 10.1161/hypertensionaha.122.20112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
BACKGROUND The potential benefits or harms of intensive systolic blood pressure (BP) control on cognitive function and cerebral blood flow in individuals with low diastolic blood pressure (DBP) remain unclear. METHODS We conducted a post hoc analysis of the SPRINT MIND (Systolic Blood Pressure Intervention Trial Memory and Cognition in Decreased Hypertension) that randomly assigned hypertensive participants to an intensive (<120 mm Hg; n=4278) or standard (<140 mm Hg; n=4385) systolic blood pressure target. We evaluated the effects of BP intervention on cognitive outcomes and cerebral blood flow across baseline DBP quartiles. RESULTS Participants in the intensive group had a lower incidence rate of probable dementia or mild cognitive impairment than those in the standard group, regardless of DBP quartiles. The hazard ratio of intensive versus standard target for probable dementia or mild cognitive impairment was 0.91 (95% CI, 0.73-1.12) in the lowest DBP quartile and 0.70 (95% CI, 0.48-1.02) in the highest DBP quartile, respectively, with an interaction P value of 0.24. Similar results were found for probable dementia (interaction P=0.06) and mild cognitive impairment (interaction P=0.80). The effect of intensive treatment on cerebral blood flow was not modified by baseline DBP either (interaction P=0.25). Even among participants within the lowest DBP quartile, intensive versus standard BP treatment resulted in an increasing trend of annualized change in cerebral blood flow (+0.26 [95% CI, -0.72 to 1.24] mL/[100 g·min]). CONCLUSIONS Intensive BP control did not appear to have a detrimental effect on cognitive outcomes and cerebral perfusion in patients with low baseline DBP. REGISTRATION URL: https://www. CLINICALTRIALS gov; Unique identifier: NCT01206062.
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Affiliation(s)
- Chao Jiang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University and National Clinical Research Center for Cardiovascular Diseases, Beijing, China (C.J., S.L., Y.W., Y.L., M.Z., L.H., Y.K., X.G., S.L., N.L., C.J., R.T., C.S., D.L., X.D., J.D., C.M.)
| | - Sitong Li
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University and National Clinical Research Center for Cardiovascular Diseases, Beijing, China (C.J., S.L., Y.W., Y.L., M.Z., L.H., Y.K., X.G., S.L., N.L., C.J., R.T., C.S., D.L., X.D., J.D., C.M.)
| | - Yufeng Wang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University and National Clinical Research Center for Cardiovascular Diseases, Beijing, China (C.J., S.L., Y.W., Y.L., M.Z., L.H., Y.K., X.G., S.L., N.L., C.J., R.T., C.S., D.L., X.D., J.D., C.M.)
| | - Yiwei Lai
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University and National Clinical Research Center for Cardiovascular Diseases, Beijing, China (C.J., S.L., Y.W., Y.L., M.Z., L.H., Y.K., X.G., S.L., N.L., C.J., R.T., C.S., D.L., X.D., J.D., C.M.)
| | - Yu Bai
- DSchool of Clinical Medicine, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, China (Y.B.)
| | - Manlin Zhao
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University and National Clinical Research Center for Cardiovascular Diseases, Beijing, China (C.J., S.L., Y.W., Y.L., M.Z., L.H., Y.K., X.G., S.L., N.L., C.J., R.T., C.S., D.L., X.D., J.D., C.M.)
| | - Liu He
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University and National Clinical Research Center for Cardiovascular Diseases, Beijing, China (C.J., S.L., Y.W., Y.L., M.Z., L.H., Y.K., X.G., S.L., N.L., C.J., R.T., C.S., D.L., X.D., J.D., C.M.)
| | - Yu Kong
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University and National Clinical Research Center for Cardiovascular Diseases, Beijing, China (C.J., S.L., Y.W., Y.L., M.Z., L.H., Y.K., X.G., S.L., N.L., C.J., R.T., C.S., D.L., X.D., J.D., C.M.)
| | - Xueyuan Guo
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University and National Clinical Research Center for Cardiovascular Diseases, Beijing, China (C.J., S.L., Y.W., Y.L., M.Z., L.H., Y.K., X.G., S.L., N.L., C.J., R.T., C.S., D.L., X.D., J.D., C.M.)
| | - Songnan Li
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University and National Clinical Research Center for Cardiovascular Diseases, Beijing, China (C.J., S.L., Y.W., Y.L., M.Z., L.H., Y.K., X.G., S.L., N.L., C.J., R.T., C.S., D.L., X.D., J.D., C.M.)
| | - Nian Liu
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University and National Clinical Research Center for Cardiovascular Diseases, Beijing, China (C.J., S.L., Y.W., Y.L., M.Z., L.H., Y.K., X.G., S.L., N.L., C.J., R.T., C.S., D.L., X.D., J.D., C.M.)
| | - Chenxi Jiang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University and National Clinical Research Center for Cardiovascular Diseases, Beijing, China (C.J., S.L., Y.W., Y.L., M.Z., L.H., Y.K., X.G., S.L., N.L., C.J., R.T., C.S., D.L., X.D., J.D., C.M.)
| | - Ribo Tang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University and National Clinical Research Center for Cardiovascular Diseases, Beijing, China (C.J., S.L., Y.W., Y.L., M.Z., L.H., Y.K., X.G., S.L., N.L., C.J., R.T., C.S., D.L., X.D., J.D., C.M.)
| | - Caihua Sang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University and National Clinical Research Center for Cardiovascular Diseases, Beijing, China (C.J., S.L., Y.W., Y.L., M.Z., L.H., Y.K., X.G., S.L., N.L., C.J., R.T., C.S., D.L., X.D., J.D., C.M.)
| | - Deyong Long
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University and National Clinical Research Center for Cardiovascular Diseases, Beijing, China (C.J., S.L., Y.W., Y.L., M.Z., L.H., Y.K., X.G., S.L., N.L., C.J., R.T., C.S., D.L., X.D., J.D., C.M.)
| | - Xin Du
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University and National Clinical Research Center for Cardiovascular Diseases, Beijing, China (C.J., S.L., Y.W., Y.L., M.Z., L.H., Y.K., X.G., S.L., N.L., C.J., R.T., C.S., D.L., X.D., J.D., C.M.).,DHeart Health Research Center, Beijing, China (X.D., C.S.A.)
| | - Jianzeng Dong
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University and National Clinical Research Center for Cardiovascular Diseases, Beijing, China (C.J., S.L., Y.W., Y.L., M.Z., L.H., Y.K., X.G., S.L., N.L., C.J., R.T., C.S., D.L., X.D., J.D., C.M.).,DDepartment of Cardiology, The First Affiliated Hospital of Zhengzhou University, Henan Province, China (J.D.)
| | - Craig S Anderson
- DHeart Health Research Center, Beijing, China (X.D., C.S.A.).,DDepartment of Neurology, Royal Prince Alfred Hospital, University of Sydney, Australia (C.S.A.).,DFaculty of Medicine, The George Institute for Global Health, University of New South Wales, Sydney, Australia (C.S.A.)
| | - Changsheng Ma
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University and National Clinical Research Center for Cardiovascular Diseases, Beijing, China (C.J., S.L., Y.W., Y.L., M.Z., L.H., Y.K., X.G., S.L., N.L., C.J., R.T., C.S., D.L., X.D., J.D., C.M.)
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Fuster V. Editor-in-Chief's Top Picks From 2022. J Am Coll Cardiol 2023; 81:780-841. [PMID: 36813378 DOI: 10.1016/j.jacc.2023.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/22/2023]
Abstract
Each week, I record audio summaries for every paper in JACC, as well as an issue summary. This process has become a true labor of love due to the time they require, but I am motivated by the sheer number of listeners (16 million plus), and it has allowed me to familiarize myself with every paper that we publish. Thus, I have selected the top 100 papers (both Original Investigations and Review Articles) from distinct specialties each year. In addition to my personal choices, I have included papers that have been the most accessed or downloaded on our websites, as well as those selected by the JACC Editorial Board members. In order to present the full breadth of this important research in a consumable fashion, we will present these abstracts in this issue of JACC, as well as their Central Illustrations and podcasts. The highlights comprise the following sections: Basic & Translational Research, Cardiac Failure & Myocarditis, Cardiomyopathies & Genetics, Cardio-Oncology, Congenital Heart Disease, Coronary Disease & Interventions, Coronavirus, Hypertension, Imaging, Metabolic & Lipid Disorders, Neurovascular Disease & Dementia, Promoting Health & Prevention, Rhythm Disorders & Thromboembolism, and Valvular Heart Disease.1-100.
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Duan X, Dang Y, Kang C, Rong P, Yan M, Zhang S, Cui J, Zhao Y, Chen F, Zhou J, Wang D, Pei L. Associations between trajectories of cardiovascular risk factor change and cognitive impairment in Chinese elderly: A nationwide cohort study. Front Aging Neurosci 2023; 15:1084136. [PMID: 36845661 PMCID: PMC9950264 DOI: 10.3389/fnagi.2023.1084136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Accepted: 01/23/2023] [Indexed: 02/12/2023] Open
Abstract
Objectives This study aimed to investigate the relationship between long-term trajectories of changes in cardiovascular risk factors (CVRFs) and the risk of cognitive impairment among Chinese adults over 60 years old. Methods Data were obtained from the Chinese Longitudinal Healthy Longevity Survey 2005-2018. Cognitive function was evaluated longitudinally through the Chinese version of the Mini-Mental State Examination (C-MMSE), and cognitive impairment (C-MMSE ≤23) was used as the main outcome variable. The cardiovascular risk factors, including systolic blood pressure (SBP), diastolic blood pressure (DBP), mean arterial pressure (MAP), pulse pressure (PP), and body mass index (BMI), were continuously measured in the follow-up duration. The patterns of trajectories of changes in CVRFs were derived from the latent growth mixture model (LGMM). The Cox regression model was used to evaluate the cognitive impairment hazard ratio (HR) across different CVRF trajectories. Results A total of 5,164 participants aged ≥60 years with normal cognitive function at baseline were included in the study. After a median follow-up of 8 years, 2,071 participants (40.1%) developed cognitive impairment (C-MMSE ≤ 23). The four-class trajectories of SBP and BMI were obtained by means of LGMM, and the trajectories of DBP, MAP, and PP were grouped into a three-class subgroup. In the final adjusted Cox model, the lowered SBP [adjusted HR (aHR): 1.59; 95% CI: 1.17-2.16], lowered PP (aHR: 2.64; 95% CI: 1.66-4.19), and progressively obese (aHR: 1.28; 95% CI: 1.02-1.62) and stable slim (aHR: 1.13; 95% CI: 1.02-1.25) were associated with the higher risk of cognitive impairment. Low stable DBP (aHR: 0.80; 95% CI: 0.66-0.96) and elevated PP (aHR: 0.76; 95% CI: 0.63-0.92) decreased the risk for cognitive impairment among participants. Conclusion Lowered SBP, lowered PP, progressive obesity, and stable slim increased the risk for cognitive impairment in the Chinese elderly. Low stable DBP and elevated PP were protective against cognitive impairment, but more DBP lowering and ≥25 mmHg growth in PP contributed to a higher risk of cognitive impairment. The findings have important implications for preventing cognitive impairment in elder adults based on the long-term trajectories of changes in CVRFs.
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Affiliation(s)
- Xinyu Duan
- Department of Epidemiology and Health Statistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| | - Yusong Dang
- Department of Epidemiology and Health Statistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| | - Chenxi Kang
- Department of Epidemiology and Health Statistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| | - Peixi Rong
- Department of Epidemiology and Health Statistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| | - Mingxin Yan
- Department of Epidemiology and Health Statistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| | - Shutong Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| | - Jing Cui
- Department of Epidemiology and Health Statistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| | - Yaling Zhao
- Department of Epidemiology and Health Statistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| | - Fangyao Chen
- Department of Epidemiology and Health Statistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| | - Jing Zhou
- Department of Pediatrics, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, China
| | - Duolao Wang
- Biostatistics Unit, Department of Clinical Sciences, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, United Kingdom,Department of Neurology, Guangdong Key Laboratory of Age-Related Cardiac and Cerebral Diseases, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Leilei Pei
- Department of Epidemiology and Health Statistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China,*Correspondence: Leilei Pei, ✉
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Progression of depressive symptoms after early exposure to famine: The China Health and Retirement Longitudinal Study. J Affect Disord 2023; 322:46-51. [PMID: 36375543 DOI: 10.1016/j.jad.2022.11.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 09/25/2022] [Accepted: 11/07/2022] [Indexed: 11/13/2022]
Abstract
BACKGROUND The effect of early exposure to famine on progression of depressive symptoms has not been studied and the Chinese Famine offers a unique opportunity to explore this association with its long duration and widespread influence. OBJECTIVE To investigate the longitudinal association of early famine exposure with subsequent depressive symptoms and whether there existed a critical exposure period. METHODS Data from the China Health and Retirement Longitudinal Study (CHARLS) were analysed. Famine exposure was evaluated retrospectively in 2014 and severe famine exposure was defined as starvation to death of family members. Depressive symptoms were assessed prospectively from wave 1 (2011-2012) to wave 4 (2018) using the 10-item Center for Epidemiological Studies Depression Scale (CES-D). Linear mixed model and Cox proportional hazards model were applied to evaluate associations of famine exposure with progression or occurrence of depressive symptoms. RESULTS A total of 7053 participants were included. Compared with no famine exposure, severe famine exposure was associated with a faster growth in CES-D score (0.169 point/year, 95 % CI 0.035 to 0.304, P = 0.013) and an elevated risk of occurrence of depressive symptoms (HR 1.360, 95 % CI 1.069 to 1.729, P = 0.012). Further analysis revealed that famine exposure during middle childhood was associated with a faster growth in CES-D score (0.404 point/year, 95 % CI 0.164 to 0.644, P = 0.001). LIMITATIONS This is an observational study therefore causal relationship cannot be concluded. CONCLUSIONS Early exposure to severe famine was associated with aggravation of depressive symptoms. Middle childhood might be a critical time window for depression prevention.
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Zheng F, Li C, Hua R, Liang J, Gao D, Xie W. Sex differences in changes of depressive symptoms among older adults before and during the COVID-19 pandemic: evidence from two longitudinal cohorts. BMC Geriatr 2023; 23:64. [PMID: 36726098 PMCID: PMC9891753 DOI: 10.1186/s12877-023-03744-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 01/10/2023] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND Major concerns about the adverse mental health impact of the rapidly spread COVID-19 pandemic have been raised. Previous studies on changes of depressive symptoms during the COVID-19 pandemic have yielded inconsistent results regarding the sex differences. Since women have higher depressive symptoms even without the pandemic, it is essential to consider the pre-existing change of depressive symptoms of a similar period to discern the effect of the pandemic on depression. This study aimed to evaluate sex differences in depressive symptoms before and during the pandemic. METHODS Data from the Health and Retirement Study (HRS; waves 13 to 15) and the English Longitudinal Study of Ageing (ELSA; wave 8 to COVID-19 wave 2) were analyzed. Depressive symptoms were assessed by the 8-item Center for Epidemiological Studies Depression (CES-D) scale. According to the time of COVID-19 outbreak in the US and the UK, the intervals from waves 13 to 14 surveys of the HRS and from waves 8 to 9 surveys of the ELSA were employed as pre-pandemic periods to control for the pre-existing depressive symptoms, respectively. Changes of CES-D scores during the pre-pandemic and pandemic periods were assessed by linear mixed models. RESULTS Nine thousand, seven hundred thirty-seven participants (mean age: 66.7 ± 10.7 years) from the HRS and 5,098 participants (mean age: 68.7 ± 10.0 years) from the ELSA were included. CES-D scores among women were significantly higher than those among men at all waves in both cohorts. During the pre-pandemic period, no significant sex difference on changes of CES-D scores was detected in either the HRS or the ELSA. During the pandemic period, CES-D scores were increased in both men and women and the sex differences in CES-D increments of the two cohorts were both significant. Enlarged sex differences were demonstrated in increments of CES-D scores during the pandemic period. CONCLUSIONS Our results suggest women suffered from worse depressive symptoms in response to the pandemic, although the changes of depression were similar between men and women before the pandemic. These findings underscore the necessity to support the vulnerable populations, especially women, to manage the distress brought by the pandemic and maintain optimal mental health status.
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Affiliation(s)
- Fanfan Zheng
- grid.506261.60000 0001 0706 7839School of Nursing, Peking Union Medical College, Chinese Academy of Medical Sciences, Shijingshan District, 33 Ba Da Chu Road, Beijing, 100144 China
| | - Chenglong Li
- grid.11135.370000 0001 2256 9319Peking University Clinical Research Institute, Peking University First Hospital, Haidian District, No. 38 Xueyuan Road, Beijing, 100191 China
| | - Rong Hua
- grid.11135.370000 0001 2256 9319Peking University Clinical Research Institute, Peking University First Hospital, Haidian District, No. 38 Xueyuan Road, Beijing, 100191 China
| | - Jie Liang
- grid.506261.60000 0001 0706 7839School of Nursing, Peking Union Medical College, Chinese Academy of Medical Sciences, Shijingshan District, 33 Ba Da Chu Road, Beijing, 100144 China
| | - Darui Gao
- grid.11135.370000 0001 2256 9319Peking University Clinical Research Institute, Peking University First Hospital, Haidian District, No. 38 Xueyuan Road, Beijing, 100191 China
| | - Wuxiang Xie
- grid.11135.370000 0001 2256 9319Peking University Clinical Research Institute, Peking University First Hospital, Haidian District, No. 38 Xueyuan Road, Beijing, 100191 China
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Li C, Ma Y, Hua R, Zheng F, Xie W. Utility of SCORE2 risk algorithm for predicting life course accelerated frailty and physical function decline. J Cachexia Sarcopenia Muscle 2023; 14:596-605. [PMID: 36572545 PMCID: PMC9891950 DOI: 10.1002/jcsm.13165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 11/15/2022] [Accepted: 11/25/2022] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Frailty is a dynamic process that increases with ageing, while it remains unclear whether cardiovascular disease (CVD) risk algorithm could predict life course dynamic frailty trajectories, for example, the longitudinal patterns of how frailty evolves with time. We intended to examine the predictive utility of the Systemic Coronary Risk Estimation 2 (SCORE2) algorithm for life course accelerated frailty and physical function decline, in comparison with the precedent SCORE algorithm. METHODS Longitudinal data regarding accumulation of deficits frailty index (FI) and physical function (grip strength, gait speed, peak expiratory flow and timed chair rises) were drawn from the English Longitudinal Study of Ageing (ELSA) and Health and Retirement Study (HRS), two nationally representative cohorts with community-dwelling adults aged ≥50 years. SCORE and SCORE2 were calculated at baselines following European Society of Cardiology guidelines. A group-based trajectory modelling approach was used for identifying potential life course frailty trajectories, based on 14- and 12-year FI data in the ELSA and HRS. Modified Poisson regression and linear mixed model were applied for analysing associations between SCORE2 with accelerated frailty trajectory and physical function decline, respectively. Receiver operating characteristic curve (ROC) analysis was conducted to evaluate predictive utility for accelerated frailty increase trajectory of SCORE and SCORE2, with the area under the curve (AUC) compared using the paired DeLong's test. RESULTS A total of 4834 participants from the ELSA and 7815 participants from the HRS were included (mean age: 64.0 ± 9.2 and 65.4 ± 9.9 years; men: 44.3% and 41.4%, respectively). Three frailty trajectories were consistently identified in both cohorts: (1) stable frailty increase (n = 3026 in ELSA and 4004 in HRS); (2) moderate frailty increase (n = 1325 in ELSA and 2955 in HRS); (3) accelerated frailty increase (n = 483 in ELSA and 856 in HRS). Each 10% increment in SCORE2 risk was associated with the higher risk of accelerated frailty increase (risk ratio [RR]: 3.58, 95% confidence interval [CI] [3.22, 3.98], P < 0.001 in ELSA; RR: 1.61, 95% CI [1.56, 1.67], P < 0.001 in HRS) and faster declines in all physical function measurements. SCORE2 algorithm showed good accuracy for predicting accelerated frailty increase (area under the curve [AUC] in ELSA: 0.759; HRS: 0.744), with better performance than the SCORE (AUC in ELSA: 0.729; HRS: 0.700) in both cohorts (P < 0.001 for comparison). CONCLUSIONS SCORE2 algorithm could serve good utility for predicting life course accelerated frailty increase and physical function decline among community-dwelling non-frail adults aged ≥50 years.
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Affiliation(s)
- Chenglong Li
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China.,PUCRI Heart and Vascular Health Research Center, Peking University, Shougang Hospital, Beijing, China
| | - Yanjun Ma
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China.,PUCRI Heart and Vascular Health Research Center, Peking University, Shougang Hospital, Beijing, China
| | - Rong Hua
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China.,PUCRI Heart and Vascular Health Research Center, Peking University, Shougang Hospital, Beijing, China
| | - Fanfan Zheng
- School of Nursing, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Wuxiang Xie
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China.,PUCRI Heart and Vascular Health Research Center, Peking University, Shougang Hospital, Beijing, China
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Elia A, Fossati S. Autonomic nervous system and cardiac neuro-signaling pathway modulation in cardiovascular disorders and Alzheimer's disease. Front Physiol 2023; 14:1060666. [PMID: 36798942 PMCID: PMC9926972 DOI: 10.3389/fphys.2023.1060666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 01/19/2023] [Indexed: 01/31/2023] Open
Abstract
The heart is a functional syncytium controlled by a delicate and sophisticated balance ensured by the tight coordination of its several cell subpopulations. Accordingly, cardiomyocytes together with the surrounding microenvironment participate in the heart tissue homeostasis. In the right atrium, the sinoatrial nodal cells regulate the cardiac impulse propagation through cardiomyocytes, thus ensuring the maintenance of the electric network in the heart tissue. Notably, the central nervous system (CNS) modulates the cardiac rhythm through the two limbs of the autonomic nervous system (ANS): the parasympathetic and sympathetic compartments. The autonomic nervous system exerts non-voluntary effects on different peripheral organs. The main neuromodulator of the Sympathetic Nervous System (SNS) is norepinephrine, while the principal neurotransmitter of the Parasympathetic Nervous System (PNS) is acetylcholine. Through these two main neurohormones, the ANS can gradually regulate cardiac, vascular, visceral, and glandular functions by turning on one of its two branches (adrenergic and/or cholinergic), which exert opposite effects on targeted organs. Besides these neuromodulators, the cardiac nervous system is ruled by specific neuropeptides (neurotrophic factors) that help to preserve innervation homeostasis through the myocardial layers (from epicardium to endocardium). Interestingly, the dysregulation of this neuro-signaling pathway may expose the cardiac tissue to severe disorders of different etiology and nature. Specifically, a maladaptive remodeling of the cardiac nervous system may culminate in a progressive loss of neurotrophins, thus leading to severe myocardial denervation, as observed in different cardiometabolic and neurodegenerative diseases (myocardial infarction, heart failure, Alzheimer's disease). This review analyzes the current knowledge on the pathophysiological processes involved in cardiac nervous system impairment from the perspectives of both cardiac disorders and a widely diffused and devastating neurodegenerative disorder, Alzheimer's disease, proposing a relationship between neurodegeneration, loss of neurotrophic factors, and cardiac nervous system impairment. This overview is conducive to a more comprehensive understanding of the process of cardiac neuro-signaling dysfunction, while bringing to light potential therapeutic scenarios to correct or delay the adverse cardiovascular remodeling, thus improving the cardiac prognosis and quality of life in patients with heart or neurodegenerative disorders.
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Hua R, Li C, Gao D, Zheng F, Xie W. Cognitive decline among older adults with heart diseases before and during the COVID-19 pandemic: A longitudinal cohort study. Front Cardiovasc Med 2023; 9:1077800. [PMID: 36776942 PMCID: PMC9908755 DOI: 10.3389/fcvm.2022.1077800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Accepted: 12/29/2022] [Indexed: 01/27/2023] Open
Abstract
Background Little is known about the impact induced by the COVID-19 pandemic on the cognitive function of older adults with heart diseases. This study aimed to examine whether older adults with heart diseases suffered larger cognitive deterioration during the COVID-19 pandemic. Methods This study leveraged longitudinal data from the Health and Retirement Study (HRS), a nationally representative U.S. aging cohort with objective cognitive assessments measured before and during the pandemic. The interval from HRS waves 13 to 14 (April 2016 to June 2019) was defined as the pre-pandemic period to control the pre-existed cognitive difference between participants with and without heart diseases, and the interval from waves 14 to 15 (June 2019 to June 2021) was defined as the pandemic period. The HRS wave 14 survey was considered the baseline. The heart disease status was defined by a self-reported diagnosis. Linear mixed models were performed to evaluate and compare the cognitive differences during different periods. Results A total of 9,304 participants (women: 5,655, 60.8%; mean age: 65.8 ± 10.8 years) were included, and 2,119 (22.8%) had heart diseases. During the pre-pandemic period, there was no significant difference (-0.03, 95% CI: -0.22 to 0.15, P = 0.716) in the changes in global cognitive scores between participants with and without heart disease. During the pandemic period, a larger decreased change in the global cognitive score was observed in the heart disease group compared with the non-heart disease group (-0.37, 95% CI: -0.55 to -0.19, P < 0.001). An enlarged difference in global cognitive score was observed during the pandemic period (-0.33, 95% CI: -0.65 to -0.02, P = 0.036). Conclusion The findings demonstrated that the population with heart diseases suffered more cognitive decline related to the pandemic, underscoring the necessity to provide immediate cognitive monitoring and interventions for the population with heart diseases.
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Affiliation(s)
- Rong Hua
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China
- Peking University Clinical Research Institute Heart and Vascular Health Research Center at Peking University Shougang Hospital, Beijing, China
| | - Chenglong Li
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China
- Peking University Clinical Research Institute Heart and Vascular Health Research Center at Peking University Shougang Hospital, Beijing, China
| | - Darui Gao
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China
- Peking University Clinical Research Institute Heart and Vascular Health Research Center at Peking University Shougang Hospital, Beijing, China
| | - Fanfan Zheng
- School of Nursing, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Wuxiang Xie
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China
- Peking University Clinical Research Institute Heart and Vascular Health Research Center at Peking University Shougang Hospital, Beijing, China
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Cognitive Decline Before and During COVID-19 Pandemic Among Older People With Multimorbidity: A Longitudinal Study. J Am Med Dir Assoc 2023; 24:419-425.e10. [PMID: 36774966 PMCID: PMC9837225 DOI: 10.1016/j.jamda.2023.01.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 01/04/2023] [Accepted: 01/05/2023] [Indexed: 01/15/2023]
Abstract
OBJECTIVE To investigate whether older people living with multimorbidity would suffer an accelerated decline in cognition during the COVID-19 pandemic, compared with prepandemic data. DESIGN A 5-year cohort conducting surveys from year 2016 to 2021, with 2016 to 2019 as the control period and 2019 to 2021 the pandemic period. SETTING AND PARTICIPANTS In total, 9304 cognitively healthy older participants age ≥50 years were included from the Health and Retirement Study (HRS). METHODS Multimorbidity was defined as the concurrent presence of 2 or more chronic diseases. A global cognition z score was calculated using memory (immediate and delayed word recall tests) and executive function (counting backwards and the serial sevens tests). Incident dementia was defined using either the reported physician diagnosis or an alternative approach based on cognition summary score. Linear mixed models were used to assess longitudinal changes, while modified Poisson regression models were used to analyze the risk of incident dementia. RESULTS Of the 9304 participants included, 3649 (39.2%) were men, with a mean age of 65.8 ± 10.8 years. Participants with multimorbidity (n = 4375) suffered accelerated declines of 0.08 standard deviation (95% confidence interval 0.03, 0.13, P = .003) in global cognition and an elevated dementia risk (risk ratio 1.66, 95% confidence 1.05 to 2.61, P = .029), compared with individuals without morbidity (n = 1818) during the pandemic period. After further adjusting sociodemographic characteristics and prepandemic cognitive measurements, these differences remained evident. In contrast, no significant differences in cognitive declines were observed during the control period. CONCLUSIONS AND IMPLICATIONS During the COVID-19 pandemic, older people with multimorbidity suffered an accelerated decline in cognition and elevated incident dementia risk, while no evident differences in cognitive decline rates were observed before the pandemic. Measures targeting vulnerable older people with multimorbidity could be significant for assisting these individuals to tackle neurocognitive challenges during the pandemic.
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Mathew A, Mesa RA, Nahodyl L, Tremblay J, Rundek T, Zeki Al Hazzouri A, Elfassy T. Diastolic Blood Pressure and Cognitive Functioning: Differences by Systolic Blood Pressure Among US Adults. Am J Alzheimers Dis Other Demen 2023; 38:15333175231172283. [PMID: 37177903 PMCID: PMC10398835 DOI: 10.1177/15333175231172283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/15/2023]
Abstract
BACKGROUND The role of diastolic blood pressure (DBP) with cognitive functioning is under-explored in relation to levels of systolic blood pressure (SBP). METHODS We studied 5466 participants from the National Health and Nutrition Examination Survey. Blood pressure was measured 3 times manually with a standardized sphygmomanometer and averaged. Cognitive functioning was measured using the digit symbol substitution test (DSST). RESULTS Participants were 60 years or older, 55% female, and 81% non-Hispanic White. Most participants had a DBP between 70 to <80 mmHg (33.7%), between 60 to <70 mmHg (29.3%), or <60 mmHg (18.8%). From multivariable linear regression analyses, each 5 mmHg increment of DBP was associated with significantly higher DSST scores among individuals with SBP <120 only (ß: 0.56, 95% CI: 0.09, 1.03). CONCLUSIONS Among older US adults, at non-elevated levels of SBP, higher DBP is associated with better cognitive performance.
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Affiliation(s)
- A Mathew
- Department of Public Health Sciences, University of Miami, Miami, FL, USA
| | - RA Mesa
- Department of Public Health Sciences, University of Miami, Miami, FL, USA
| | - L Nahodyl
- Department of Public Health Sciences, University of Miami, Miami, FL, USA
| | - J Tremblay
- Department of Public Health Sciences, University of Miami, Miami, FL, USA
| | - T Rundek
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - A Zeki Al Hazzouri
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - T Elfassy
- Department of Medicine, Katz Family Division of Nephrology and Hypertension, University of Miami, Miami, FL, USA
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