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Keene S, Abbasizanjani H, Torabi F, Knight R, Walker V, Raffetti E, Cezard G, Ip S, Sampri A, Bolton T, Denholm R, Khunti K, Akbari A, Quint J, Denaxas S, Sudlow C, Di Angelantonio E, Sterne JAC, Wood A, Whiteley WN. Risks of major arterial and venous thrombotic diseases after hospitalisation for influenza, pneumonia, and COVID-19: A population-wide cohort in 2.6 million people in Wales. Thromb Res 2025; 245:109213. [PMID: 39608301 DOI: 10.1016/j.thromres.2024.109213] [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: 08/09/2024] [Revised: 11/10/2024] [Accepted: 11/10/2024] [Indexed: 11/30/2024]
Abstract
OBJECTIVE Pneumonia, influenza, COVID-19, and other common infections might increase the risk of thrombotic events acutely through an interaction between inflammation and the thrombotic system. The long-term risks of arterial and venous thrombotic events following hospitalisation for COVID-19 and hospitalisation for pneumonia or influenza are unclear. MATERIALS AND METHODS In a population-wide cohort of linked Welsh health data of adults, we calculated the incidence of arterial and venous thrombosis after hospitalisation for COVID-19 (2020-2021). We then compared this post-hospitalisation incidence with the incidence prior to COVID-19 hospitalisation in the same individuals, and with the incidence in individuals who were never hospitalised for COVID-19. We then repeated this analysis for hospitalisation for pneumonia or influenza in a separate cohort (2016-2019). We estimated adjusted hazard ratios (aHRs) in separate time periods starting from the date of the first infection that resulted in hospitalisation (day 0, 1 to 7 days, 2 to 4 weeks, 5 to 16 weeks, and 17 to 75 weeks) using time-varying Cox regression. Confounders included age, sex, smoking status, obesity, deprivation (fifths of Welsh Index of Multiple Deprivation), rural or urban setting, care home attendance, Elixhauser comorbidity index, surgery in the last year, medications (e.g. lipid-lowering and antiplatelet/anticoagulant use), hypertension and/or hypertensive medication use, and past medical history of chronic kidney disease, diabetes, chronic obstructive pulmonary disease, dementia, cancer, or any CVD. RESULTS For the first arterial thrombosis, the aHRs were 3.80 (95 % CI: 2.50-5.77) between days 1-7, 5.24 (4.21-6.51) between weeks 2-4, 2.12 (1.72-2.60) between weeks 5-16, and 1.60 (1.38-1.86) between weeks 17-75 after hospitalisation for COVID-19. The corresponding aHRs after hospitalisation for pneumonia/influenza were: 5.42 (4.35-6.75), 3.87 (3.32-4.49), 1.96 (1.74-2.21), and 1.41 (1.30-1.53). For first venous thrombosis, aHRs were 7.47 (3.56-15.7) between days 1-7, 22.6 (17.5-29.1) between weeks 2-4, 6.58 (4.98-8.68) between weeks 5-16, and 2.25 (1.67-3.02) between weeks 17-75 after hospitalisation for COVID-19. The corresponding aHRs after hospitalisation for pneumonia/influenza were: 15.1 (10.3-22.0), 11.8 (9.23-15.1), 5.80 (4.75-7.08), and 1.89 (1.57-2.29). Excess risk was highest in individuals aged ≥60 years, in whom we estimated 2,700 and 2,320 additional arterial and 1,270 and 840 additional venous events after 100,000 hospitalisations for COVID-19 and pneumonia/influenza, respectively. CONCLUSIONS Both hospitalisation for COVID-19 and pneumonia/influenza increase the risk of arterial and venous thrombosis. Preventative healthcare policies are needed for cardiovascular risk factor management, vaccination, and anticoagulation in high-risk patients with hospitalised or severe infections.
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Affiliation(s)
- Spencer Keene
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK; NIHR Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, UK.
| | - Hoda Abbasizanjani
- Population Data Science, Swansea University Medical School, Faculty of Medicine, Health, and Life Science, Swansea University, Swansea, UK
| | - Fatemeh Torabi
- Population Data Science, Swansea University Medical School, Faculty of Medicine, Health, and Life Science, Swansea University, Swansea, UK
| | - Rochelle Knight
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; MRC Integrative Epidemiology Unit, Bristol, UK; NIHR Applied Research Collaboration West, Bristol, UK; NIHR Bristol Biomedical Research Centre, Bristol, UK
| | - Venexia Walker
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; MRC Integrative Epidemiology Unit, Bristol, UK; Department of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Elena Raffetti
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK; Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | - Genevieve Cezard
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK
| | - Samantha Ip
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; Cambridge Centre for AI in Medicine, UK
| | - Alexia Sampri
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK
| | - Thomas Bolton
- British Heart Foundation Data Science Centre, Health Data Research UK, London, UK
| | - Rachel Denholm
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; NIHR Bristol Biomedical Research Centre, Bristol, UK; Health Data Research UK South-West, Bristol, UK
| | | | - Ashley Akbari
- Population Data Science, Swansea University Medical School, Faculty of Medicine, Health, and Life Science, Swansea University, Swansea, UK
| | - Jennifer Quint
- School of Public Health, Imperial College London, London, W12 0BZ, United Kingdom
| | - Spiros Denaxas
- British Heart Foundation Data Science Centre, Health Data Research UK, London, UK; Institute of Health Informatics, University College London; University College London, Hospitals Biomedical Research Centre, University College London, UK
| | - Cathie Sudlow
- British Heart Foundation Data Science Centre, Health Data Research UK, London, UK
| | - Emanuele Di Angelantonio
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK; NIHR Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Hinxton, UK; Health Data Science Centre, Human Technopole, Milan, Italy
| | - Jonathan A C Sterne
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; NIHR Bristol Biomedical Research Centre, Bristol, UK; Health Data Research UK South-West, Bristol, UK
| | - Angela Wood
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK; NIHR Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, UK; British Heart Foundation Data Science Centre, Health Data Research UK, London, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Hinxton, UK; NIHR Cambridge Biomedical Research Centre, UK; Cambridge Centre for AI in Medicine, UK
| | - William N Whiteley
- British Heart Foundation Data Science Centre, Health Data Research UK, London, UK; Centre for Clinical Brain Sciences, University of Edinburgh, UK
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Li X, Wang S, Wu K, Mo C, Li F, Cheng Z, Liang F, Zheng J, Gu D. Time-dependent cardiovascular risks following pneumonia in inpatient and outpatient settings: A register-based cohort study. INTERNATIONAL JOURNAL OF CARDIOLOGY. CARDIOVASCULAR RISK AND PREVENTION 2024; 22:200317. [PMID: 39224118 PMCID: PMC11366901 DOI: 10.1016/j.ijcrp.2024.200317] [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: 06/11/2024] [Revised: 07/26/2024] [Accepted: 08/01/2024] [Indexed: 09/04/2024]
Abstract
Background The elevated long-term cardiovascular disease (CVD) risks associated with pneumonia have been observed among inpatients, yet the risks associated with outpatients are less understood. Methods We used register-based data and a matched cohort design, including 98,354 pneumonia inpatients and 44,486 outpatients, as well as a 5-fold number of matched healthy controls. Associations between pneumonia presentation (in inpatient and outpatient settings) and long-term CVD risks were measured by rate difference and hazard ratio (HR) using Poisson and Cox regressions in a time-dependent manner. Results During a maximum follow-up period of 5.7 years of ischemic heart disease (IHD), heart failure (HF), and stroke were documented among pneumonia inpatients.Relative to healthy controls, pneumonia patients showed increased risks of IHD, HF, and stroke. Women and young inpatients demonstrated stronger associations of CVD with pneumonia; inpatients aged 60 years or older showed the highest excessive CVD risks. Conclusions Pneumonia demanding outpatient and inpatient cares are intermediate-term and long-term risk factors of incident CVDs respectively, underscoring the need to plan setting-specific and time-dependent CVD-preventive cares following pneumonia presentation.
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Affiliation(s)
- Xia Li
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China
- Guangxi Key Lab of Multi-source Information Mining & Security, Guangxi Normal University, Guilin, 541004, China
- Shenzhen Key Laboratory of Cardiovascular Health and Precision Medicine, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China
| | - Shuang Wang
- Shenzhen Health Development Research and Data Management Center, Shenzhen, 518106, Guangdong, China
| | - Keye Wu
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China
- Shenzhen Key Laboratory of Cardiovascular Health and Precision Medicine, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China
| | - Chunbao Mo
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China
| | - Furong Li
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China
- Shenzhen Key Laboratory of Cardiovascular Health and Precision Medicine, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China
| | - Zhiyuan Cheng
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China
- Shenzhen Key Laboratory of Cardiovascular Health and Precision Medicine, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China
| | - Fengchao Liang
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China
- Shenzhen Key Laboratory of Cardiovascular Health and Precision Medicine, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China
| | - Jing Zheng
- Shenzhen Health Development Research and Data Management Center, Shenzhen, 518106, Guangdong, China
| | - Dongfeng Gu
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China
- Shenzhen Key Laboratory of Cardiovascular Health and Precision Medicine, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China
- School of Medicine, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China
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3
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Chen HW, Huang RD, Li LH, Zhou R, Cao BF, Liu K, Wang SA, Zhong Q, Wei YF, Wu XB. Impact of healthy lifestyle on the incidence and progression trajectory of mental disorders: A prospective study in the UK Biobank. J Affect Disord 2024; 358:383-390. [PMID: 38735583 DOI: 10.1016/j.jad.2024.05.054] [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: 03/29/2024] [Revised: 05/08/2024] [Accepted: 05/09/2024] [Indexed: 05/14/2024]
Abstract
BACKGROUND Healthier lifestyle decreased the risk of mental disorders (MDs) such as depression and anxiety. However, research on the effects of a comprehensive healthy lifestyle on their progression is lacking. METHODS 385,704 individuals without baseline MDs from the UK Biobank cohort were included. A composite healthy lifestyle score was computed by assessing alcohol intake, smoking status, television viewing time, physical activity, sleep duration, fruit and vegetable intake, oily fish intake, red meat intake, and processed meat intake. Follow-up utilized hospital and death register records. Multistate model was used to examine the role of healthy lifestyle on the progression of specific MDs, while a piecewise Cox regression model was utilized to assess the influence of healthy lifestyle across various phases of disease progression. RESULTS Higher lifestyle score reduced risks of transitions from baseline to anxiety and depression, as well as from anxiety and depression to comorbidity, with corresponding hazard ratios (HR) and 95 % confidence intervals (CI) of 0.94 (0.93, 0.95), 0.90 (0.89, 0.91), 0.94 (0.91, 0.98), and 0.95 (0.92, 0.98), respectively. Healthier lifestyle decreased the risk of transitioning from anxiety to comorbidity within 2 years post-diagnosis, with HR 0.93 (0.88, 0.98). Higher lifestyle scores at 2-4 years and 4-6 years post-depression onset were associated with reduced risk of comorbidity, with HR 0.93 (0.87, 0.99) and 0.92 (0.86, 0.99), respectively. LIMITATION The generalizability to other ethnic groups is limited. CONCLUSION This study observed a protective role of holistic healthy lifestyle in the trajectory of MDs and contributed to identifying critical progression windows.
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Affiliation(s)
- Hao-Wen Chen
- Department of Epidemiology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Guangzhou 510515, China
| | - Rui-Dian Huang
- Public Health Division, Hospital of Zhongluotan Town, Baiyun District, Guangzhou 510515, China
| | - Liang-Hua Li
- Public Health Division, Hospital of Zhongluotan Town, Baiyun District, Guangzhou 510515, China
| | - Rui Zhou
- Department of Epidemiology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Guangzhou 510515, China
| | - Bi-Fei Cao
- Department of Epidemiology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Guangzhou 510515, China
| | - Kuan Liu
- Department of Epidemiology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Guangzhou 510515, China
| | - Shi-Ao Wang
- Department of Epidemiology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Guangzhou 510515, China
| | - Qi Zhong
- Department of Epidemiology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Guangzhou 510515, China
| | - Yan-Fei Wei
- Department of Epidemiology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Guangzhou 510515, China
| | - Xian-Bo Wu
- Department of Epidemiology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Guangzhou 510515, China.
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Drapkina OM, Kontsevaya AV, Kalinina AM, Avdeev SN, Agaltsov MV, Alekseeva LI, Almazova II, Andreenko EY, Antipushina DN, Balanova YA, Berns SA, Budnevsky AV, Gainitdinova VV, Garanin AA, Gorbunov VM, Gorshkov AY, Grigorenko EA, Jonova BY, Drozdova LY, Druk IV, Eliashevich SO, Eliseev MS, Zharylkasynova GZ, Zabrovskaya SA, Imaeva AE, Kamilova UK, Kaprin AD, Kobalava ZD, Korsunsky DV, Kulikova OV, Kurekhyan AS, Kutishenko NP, Lavrenova EA, Lopatina MV, Lukina YV, Lukyanov MM, Lyusina EO, Mamedov MN, Mardanov BU, Mareev YV, Martsevich SY, Mitkovskaya NP, Myasnikov RP, Nebieridze DV, Orlov SA, Pereverzeva KG, Popovkina OE, Potievskaya VI, Skripnikova IA, Smirnova MI, Sooronbaev TM, Toroptsova NV, Khailova ZV, Khoronenko VE, Chashchin MG, Chernik TA, Shalnova SA, Shapovalova MM, Shepel RN, Sheptulina AF, Shishkova VN, Yuldashova RU, Yavelov IS, Yakushin SS. Comorbidity of patients with noncommunicable diseases in general practice. Eurasian guidelines. КАРДИОВАСКУЛЯРНАЯ ТЕРАПИЯ И ПРОФИЛАКТИКА 2024; 23:3696. [DOI: 10.15829/1728-8800-2024-3996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/10/2024] Open
Abstract
Создание руководства поддержано Советом по терапевтическим наукам отделения клинической медицины Российской академии наук.
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Hu X, Wang J, Yang T, Jin J, Zeng Q, Aboubakri O, Feng XL, Li G, Huang J. Role of residential greenspace in the trajectory of major neurological disorders: A longitudinal study in UK Biobank. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:168967. [PMID: 38042194 DOI: 10.1016/j.scitotenv.2023.168967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 11/26/2023] [Accepted: 11/26/2023] [Indexed: 12/04/2023]
Abstract
BACKGROUND Stroke and dementia are major neurological disorders that contribute significantly to disease burden and are interlinked in terms of risk. Nevertheless, there is currently no study investigating the influence of residential greenspace on the trajectory of these neurological disorders. METHODS This longitudinal study utilized data from the UK Biobank. Exposure to residential greenspace was measured by the percentage of total greenspace coverage within a 300-meter buffer zone surrounding the participants' residences. A multistate model was employed to illustrate the trajectory of major neurological disorders, and a piecewise Cox regression model was applied to explore the impact of residential greenspace on different time courses of disease transitions. RESULTS With 422,649 participants and a median follow-up period of 12.5 years, 8568 (2.0 %), 5648 (1.3 %), and 621 (0.1 %) individuals developed incident stroke, dementia, and comorbidity of both conditions, respectively. An increase in residential greenspace by one interquartile range was associated with reduced risks of transitions from baseline to stroke, dementia, and death, as well as from stroke to comorbidity. The corresponding hazard ratios (HRs) were 0.967 (95 % CI: 0.936, 0.998), 0.928 (0.892, 0.965), 0.925 (0.907, 0.942), and 0.799 (0.685, 0.933), respectively. Furthermore, the protective effect of residential greenspace on the transition from stroke or dementia to comorbidity was particularly pronounced within the first year and over 5 years after stroke and during the 2 to 3 years after dementia onset, with HRs of 0.692 (0.509, 0.941), 0.705 (0.542, 0.918), and 0.567 (0.339, 0.949), respectively. CONCLUSION This study observed a protective role of residential greenspace in the trajectory of major neurological disorders and contributed to identifying critical progression windows. These findings underscore the significance of environment-health interactions in the prevention of neurological disorders.
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Affiliation(s)
- Xin Hu
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Jiawei Wang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Teng Yang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Jianbo Jin
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Qiang Zeng
- Institute of Occupational Disease Control and Prevention, Tianjin Centers for Disease Control and Prevention, Tianjin 300011, China
| | - Omid Aboubakri
- Environmental Health Research Center, Kurdistan University of Medical Science, Sanandaj, Kurdistan 7616913555, Iran
| | - Xing Lin Feng
- Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Guoxing Li
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing 100191, China; Environmental Research Group, Faculty of Medicine, School of Public Health, Imperial College, London W12 0BZ, UK.
| | - Jing Huang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing 100191, China; Institute for Global Health and Development, Peking University, 5 Yiheyuan Road, Haidian District, Beijing 100871, China.
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Wang J, Hu X, Yang T, Jin J, Hao J, Kelly FJ, Huang J, Li G. Ambient air pollution and the dynamic transitions of stroke and dementia: a population-based cohort study. EClinicalMedicine 2024; 67:102368. [PMID: 38169700 PMCID: PMC10758736 DOI: 10.1016/j.eclinm.2023.102368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 11/25/2023] [Accepted: 11/28/2023] [Indexed: 01/05/2024] Open
Abstract
Background Stroke and dementia are the leading causes of neurological disease burden. Detrimental effects of air pollution on both conditions are increasingly recognised, while the impacts on the dynamic transitions have not yet been explored, and whether critical time intervals exist is unknown. Methods This prospective study was conducted based on the UK Biobank. Annual average air pollution concentrations at baseline year 2010 estimated by land-use regression models were used as a proxy for long-term air pollution exposure. Associations between multiple air pollutants (PM2.5, PM2.5-10, and NO2) indicated by air pollution score and the dynamic transitions of stroke and dementia were estimated, and the impacts during critical time intervals were explored. The date cutoff of this study was February 29, 2020. Findings During a median follow-up of 10.9 years in 413,372 participants, 6484, 3813, and 376 participants developed incident stroke, dementia, and comorbidity of stroke and dementia. For the overall transition from stroke to comorbid dementia, the hazard ratio (HR) for each interquartile range (IQR) increase in air pollution score was 1.38 (95% CI, 1.15, 1.65), and the risks were limited to two time intervals (within 1 year and over 5 years after stroke). As for the transition from dementia to comorbid stroke, increased risk was only observed during 2-3 years after dementia. Interpretation Our findings suggested that air pollution played an important role in the dynamic transition of stroke and dementia even at concentrations below the current criteria. The findings provided new evidence for alleviating the disease burden of neurological disorders related to air pollution during critical time intervals. Funding The State Scholarship Fund of China Scholarship Council.
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Affiliation(s)
- Jiawei Wang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Xin Hu
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Teng Yang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Jianbo Jin
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
| | - Junwei Hao
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Frank J. Kelly
- Environmental Research Group, Faculty of Medicine, School of Public Health, Imperial College London, London, UK
| | - Jing Huang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
- Institute for Global Health and Development, Peking University, Beijing, China
| | - Guoxing Li
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China
- Environmental Research Group, Faculty of Medicine, School of Public Health, Imperial College London, London, UK
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7
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Stotts C, Corrales-Medina VF, Rayner KJ. Pneumonia-Induced Inflammation, Resolution and Cardiovascular Disease: Causes, Consequences and Clinical Opportunities. Circ Res 2023; 132:751-774. [PMID: 36927184 DOI: 10.1161/circresaha.122.321636] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
Abstract
Pneumonia is inflammation in the lungs, which is usually caused by an infection. The symptoms of pneumonia can vary from mild to life-threatening, where severe illness is often observed in vulnerable populations like children, older adults, and those with preexisting health conditions. Vaccines have greatly reduced the burden of some of the most common causes of pneumonia, and the use of antimicrobials has greatly improved the survival to this infection. However, pneumonia survivors do not return to their preinfection health trajectories but instead experience an accelerated health decline with an increased risk of cardiovascular disease. The mechanisms of this association are not well understood, but a persistent dysregulated inflammatory response post-pneumonia appears to play a central role. It is proposed that the inflammatory response during pneumonia is left unregulated and exacerbates atherosclerotic vascular disease, which ultimately leads to adverse cardiac events such as myocardial infarction. For this reason, there is a need to better understand the inflammatory cross talk between the lungs and the heart during and after pneumonia to develop therapeutics that focus on preventing pneumonia-associated cardiovascular events. This review will provide an overview of the known mechanisms of inflammation triggered during pneumonia and their relevance to the increased cardiovascular risk that follows this infection. We will also discuss opportunities for new clinical approaches leveraging strategies to promote inflammatory resolution pathways as a novel therapeutic target to reduce the risk of cardiac events post-pneumonia.
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Affiliation(s)
- Cameron Stotts
- Department of Biochemistry, Microbiology, and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada (C.S., K.J.R).,Centre for Infection, Immunity, and Inflammation, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada (C.S., V.F.C.-M.).,University of Ottawa Heart Institute, Ottawa, ON, Canada (C.S., K.J.R)
| | - Vicente F Corrales-Medina
- Centre for Infection, Immunity, and Inflammation, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada (C.S., V.F.C.-M.).,Department of Medicine, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada (V.F.C-M).,Ottawa Hospital Research Institute, Ottawa, ON, Canada (V.F.C.-M)
| | - Katey J Rayner
- Department of Biochemistry, Microbiology, and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada (C.S., K.J.R).,University of Ottawa Heart Institute, Ottawa, ON, Canada (C.S., K.J.R)
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