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Chen Y, Chen YY, Chien KL, Lin YJ, Chen FY, Hsieh YC, Lip GYH, Chen SA. Long-term trajectories of apolipoprotein A1 and major adverse cardiovascular events and mortality in a community cohort. Lipids Health Dis 2025; 24:137. [PMID: 40211283 PMCID: PMC11983767 DOI: 10.1186/s12944-025-02552-3] [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: 02/14/2025] [Accepted: 04/01/2025] [Indexed: 04/12/2025] Open
Abstract
BACKGROUND Apolipoprotein A1 (ApoA1) is a major component of high-density lipoprotein cholesterol and plays a critical role in reverse cholesterol transport. Dynamic changes in ApoA1 levels may be associated with major adverse cardiovascular events. This study aimed to evaluate the impact of ApoA1 trajectories over three early assessments. METHODS Participants in the Chin-Shan Community Cardiovascular Cohort with dyslipidemia and receiving three early ApoA1 assessments were enrolled. Group-based multivariate trajectory modeling was used to classify participants into distinct trajectories after multivariable adjustment. The follow-up duration was from April 1990 to August 2022, and the long-term outcomes of major adverse cardiovascular events (MACE) and death outcomes were evaluated. RESULTS A total of 1,080 participants were included (median [interquartile range] age 66.14 [57.93-75.04] years, 43.2% males). Participants were classified into four ApoA1 trajectories: Trajectory 1 (low-level persistence pattern); Trajectory 2 (fall-then-rise pattern); Trajectory 3 (rise-then-fall pattern); and Trajectory 4 (elevated stable pattern). The cumulative incidence of MACE was ranked as Trajectory 4 (7.9%) < Trajectory 2 (9.3%) < Trajectory 3 (9.4%) < Trajectory 1 (12.7%). Comparing to Trajectory 4, both Trajectory 1 and Trajectory 2 had significantly higher risks of MACE (Trajectory 1: hazard ratio [HR] = 2.06, 95% confidence interval [CI] 1.10-3.86; Trajectory 2: HR = 2.38, 95% CI 1.03-5.48). For cardiovascular death, similar results were present. There were no significant differences in composite outcome, all-cause death, non-cardiovascular death across ApoA1 trajectories. CONCLUSION The trajectory changes of ApoAI levels significantly influences MACE risk during long-term follow-up, particularly in the low-stable and J-shaped trajectories. Dynamic monitoring of ApoAI may serve as a valuable tool for early risk stratification in high-risk populations, facilitating more individualised interventions.
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Affiliation(s)
- Yang Chen
- Liverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, UK
| | - Yun-Yu Chen
- Department of Medical Research, Taichung Veterans General Hospital, No. 1650, Sec. 4, Taiwan Boulevard, Xitun District, Taichung, Taiwan.
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung, Taiwan.
- Heart Rhythm Center, Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
- Cardiovascular Research Center, College of Medicine, National Chung Hsing University, Taichung, Taiwan.
| | - Kuo-Liong Chien
- Institute of Epidemiology and Preventive Medicine College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Yenn-Jiang Lin
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung, Taiwan
- Heart Rhythm Center, Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Fang-Yi Chen
- Department of Medical Research, Taichung Veterans General Hospital, No. 1650, Sec. 4, Taiwan Boulevard, Xitun District, Taichung, Taiwan
- Heart Rhythm Center, Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Yu-Cheng Hsieh
- Department of Medical Research, Taichung Veterans General Hospital, No. 1650, Sec. 4, Taiwan Boulevard, Xitun District, Taichung, Taiwan
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung, Taiwan
- Cardiovascular Research Center, College of Medicine, National Chung Hsing University, Taichung, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, UK
- Danish Center for Health Services Research, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- Medical University of Bialystok, Bialystok, Poland
| | - Shih-Ann Chen
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung, Taiwan
- Heart Rhythm Center, Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- Cardiovascular Research Center, College of Medicine, National Chung Hsing University, Taichung, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
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Liao J, Zhu Y, Zhang A, Wu D, Yan X, He Q, Song F, Chen J, Li Y, Li L, Chen Z, Li W, Yang Q, Fang Z, Wu M. Association Apo B/Apo a-1 Ratio and Prognostic Nutritional Index with 90-Day Outcomes of Acute Ischemic Stroke. Diabetes Metab Syndr Obes 2024; 17:3009-3018. [PMID: 39155912 PMCID: PMC11330243 DOI: 10.2147/dmso.s473385] [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: 04/11/2024] [Accepted: 08/08/2024] [Indexed: 08/20/2024] Open
Abstract
Background The relationship between insulin resistance-related indices and the outcomes of acute ischemic stroke (AIS) is still unclear. This study aimed to explore the association between the Apo B/Apo A-1 ratio and the Prognostic Nutritional Index (PNI) with the 90-day outcomes of AIS. Methods A total of 2011 AIS patients with a 3-month follow-up were enrolled in the present study from January 2017 to July 2021. Multivariate logistic regression modeling was performed to analyze the relationship between Apo B/Apo A-1 ratio, PNI, and AIS poor outcomes. The mediating effect between the three was analyzed using the Bootstrap method with PNI as the mediating variable. Results Among the 2011 included AIS patients, 20.3% had a poor outcome. Patients were categorized according to quartiles of Apo B/Apo A-1 ratio and PNI. Multivariate logistic regression revealed that the fourth Apo B/Apo A-1 ratio quartile had poorer outcomes than the first quartile (OR 1.75,95%CL 1.21-2.53, P=0.003), and the fourth PNI quartile exhibited a lower risk of poor outcomes than the first quartile (OR 0.40, 95%CL 0.27-0.61, P<0.001). PNI displayed a significant partially mediating effect (21.4%) between the Apo B/Apo A-1 ratio and poor AIS outcomes. Conclusion The Apo B/Apo A-1 ratio is a risk factor for poor AIS outcomes, whereas PNI acts as a protective factor. The association between the ApoB/ApoA-1 ratio and poor AIS outcomes was partially mediated by PNI.
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Affiliation(s)
- Junqi Liao
- Department of Neurology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, 210029, People’s Republic of China
| | - Yuan Zhu
- Department of Neurology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, 210029, People’s Republic of China
- Department of Medicine, Physiology and Biophysics, UC Irvine Diabetes Center, University of California Irvine (UCI), Irvine, CA, USA
| | - Aimei Zhang
- Department of Neurology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, 210029, People’s Republic of China
| | - Dan Wu
- Department of Neurology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, 210029, People’s Republic of China
| | - Xiaohui Yan
- Department of Neurology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, 210029, People’s Republic of China
| | - Qiuhua He
- Department of Neurology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, 210029, People’s Republic of China
| | - Fantao Song
- Department of Neurology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, 210029, People’s Republic of China
| | - Jingyi Chen
- Department of Neurology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, 210029, People’s Republic of China
| | - Yunze Li
- Department of Neurology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, 210029, People’s Republic of China
| | - Li Li
- Department of Neurology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, 210029, People’s Republic of China
| | - Zhaoyao Chen
- Department of Neurology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, 210029, People’s Republic of China
| | - Wenlei Li
- Department of Neurology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, 210029, People’s Republic of China
| | - Qin Yang
- Department of Medicine, Physiology and Biophysics, UC Irvine Diabetes Center, University of California Irvine (UCI), Irvine, CA, USA
| | - Zhuyuan Fang
- Department of Cardiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, 210029, People’s Republic of China
| | - Minghua Wu
- Department of Neurology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, 210029, People’s Republic of China
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Effectiveness of Non-Contact Dietary Coaching in Adults with Diabetes or Prediabetes Using a Continuous Glucose Monitoring Device: A Randomized Controlled Trial. Healthcare (Basel) 2023; 11:healthcare11020252. [PMID: 36673620 PMCID: PMC9859545 DOI: 10.3390/healthcare11020252] [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: 12/18/2022] [Revised: 01/10/2023] [Accepted: 01/11/2023] [Indexed: 01/15/2023] Open
Abstract
We aimed to evaluate the effectiveness of dietary coaching and continuous glucose monitoring (CGM) in patients with diabetes or prediabetes to improve their behavioral skills and health outcomes. A randomized controlled study with pre- and post-testing was conducted. Data were collected between November 2020 and April 2021. Forty-five patients with diabetes or prediabetes who used a CGM device were enrolled and analyzed. Dietary education, individual coaching and group coaching were provided to participants in the experimental group for 4 weeks. After the intervention, the thigh circumference in men significantly differed between the two groups (z = -2.02, p = 0.044). For women, participants in the experimental group showed greater improvement in eating self-efficacy compared with those in the control group (z = -2.66, p = 0.008). Insomnia was negatively related to the change in eating self-efficacy (r = -0.35, p = 0.018) and increase in thigh circumference (r = -0.35, p = 0.017). Even if used within a short intervention period, non-contact dietary coaching programs can help enhance behavioral skills, such as eating self-efficacy and health outcomes, such as thigh circumference. Moreover, the changed variables can indirectly improve other health outcomes in patients with diabetes or prediabetes.
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Yang T, Zhao B, Guan X, Pei D. White cell count trajectory and type 2 diabetes in health management population: a retrospective cohort study. BMJ Open 2022; 12:e057966. [PMID: 36127085 PMCID: PMC9490632 DOI: 10.1136/bmjopen-2021-057966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
OBJECTIVE The purposes of current research were to investigate the time-dependent dynamic alteration of white cell count (WCC) in health management populations and to analyse its association with the type 2 diabetes mellitus (T2DM). DESIGN Retrospective cohort research. SETTING Shengjing Hospital of China Medical University in China's Shenyang. PARTICIPANTS The number of non-diabetic subjects (median age: 40 years) totaled 7924 in the present work. PRIMARY AND SECONDARY OUTCOME MEASURES Assessment and grouping of changes in WCC between 2016 and 2019 were accomplished through group-based trajectory modelling. Newly diagnosed incidence associated with T2DM was estimated based on varying trajectories of WCC by the Kaplan-Meier method. Statistical differences in the incidences of new-onset T2DM among various WCC trajectory groups were examined through log-rank test. The influence of WCC trajectory alterations on the new-onset T2DM was evaluated with a multiparameter Cox (proportional-hazards) model. RESULTS During a 3-year (2016-2019) period, the T2DM development was noted in 3.14% (249) of the subjects. The trajectory model of WCC change was divided into four groups. For participants with low stability (trajectory 1), medium stability (trajectory 2), medium stability (trajectory 3) and high stability (trajectory 4), the incidence of T2DM was separately 2.2%, 2.62%, 4.82% and 7.4%, respectively. After adjusting for the underlying confounders, new-onset T2DM HRs (95% CIs) for trajectories 3 and 4 were separately 1.94 (1.32 to 2.83) and 3.08 (1.82 to 5.21) compared with the trajectory 1, implying that the T2DM risks were statistically significantly high. CONCLUSION The 3-year T2DM incidence was impacted independently by the WCC trajectory fluctuations. The grouping trajectory can reflect the dynamic change of WCC over time, which is more representative than the measured WCC at a single time point.
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Affiliation(s)
- Tengfei Yang
- Departments of Health Management, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Bo Zhao
- Department of Pulmonary and Critical Care Medicine, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xuelai Guan
- Department of An-Ning-Zhuang Outpatient, Chinese PLA General Hospital, Beijing, China
| | - Dongmei Pei
- Departments of Health Management, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
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Liu Y, Ma X, Ma L, Su Z, Li D, Chen X. Elevated ApoB/ApoA-I ratio is associated with acute anti-N-Methyl-D-aspartate receptor encephalitis, but not disease outcomes. Front Neurol 2022; 13:896656. [PMID: 36119695 PMCID: PMC9475113 DOI: 10.3389/fneur.2022.896656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 08/08/2022] [Indexed: 12/03/2022] Open
Abstract
Objective The purpose of the present study is to clarify the relationship between the apolipoprotein B100/apolipoprotein A-I (ApoB/ApoA-I) ratio and anti-N-methyl-D-aspartate receptor (anti-NMDAR) encephalitis. Methods A total of 71 patients with anti-NMDAR encephalitis were included in this study, and their ApoB/ApoA-I ratios in baseline and follow-up were retrospectively analyzed. Results The ApoB/ApoA-I ratio was closely correlated with the baseline-modified Rankin scale (mRS) score of >3 in patients with anti-NMDAR encephalitis. A subgroup analysis showed obvious differences between the high and low ApoB/ApoA-I ratio groups. The ApoB/ApoA-I ratio was positively correlated with intensive care unit (ICU) treatment, length of hospital stay, baseline mRS score, C-reactive protein (CRP), and erythrocyte sedimentation rate (ESR). The ratios of the high and low ApoB/ApoA-I groups both improved in the follow-up. Conclusion The increased ApoB/ApoA-I ratio is associated with acute anti-NMDAR encephalitis, but not disease outcomes. Serum ApoB/ApoA-I ratio was related to inflammation and immunity in peripheral blood. The findings might provide a new idea for further exploration of the pathogenesis and treatment of anti-NMDAR encephalitis.
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