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Liu P, Ren Y. Prognostic value of SAPS II score for 28-day mortality in ICU patients with acute pulmonary embolism. Int J Cardiol 2025; 430:133201. [PMID: 40158815 DOI: 10.1016/j.ijcard.2025.133201] [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: 01/15/2025] [Revised: 03/10/2025] [Accepted: 03/23/2025] [Indexed: 04/02/2025]
Abstract
BACKGROUND Acute pulmonary embolism (APE) is a common and life-threatening emergency in intensive care units (ICUs). Effective risk assessment tools are essential to improve patient outcomes. This study aims to evaluate the association between Simplified Acute Physiology Score II (SAPS II) and 28-day mortality in ICU patients with APE. METHODS We conducted a retrospective cohort study involving 1031 APE patients from the Multiparameter Intelligent Monitoring in Intensive Care Database IV (MIMIC-IV) databases (Derivation cohort, n = 745) and the Intensive Care Unit (ICU) of the First Affiliated Hospital of Dalian Medical University databases (External Validation cohort, n = 286) between 2008 and 2023. Our study collected 65 variables, including ICU-related clinical data and common scoring systems for response prognosis. First, we used the derived cohort to perform COX regression and random survival forest (RSF) to screen out important variables. Secondly, we evaluated the predictive value of the most important clinical variables. Finally, we further validated the results in an external validation cohort. RESULTS A total of 259 people (25.1 %) died from all causes. We performed COX regression in the derived cohort and found that SAPII was associated with prognosis (p < 0.001). We used the RSF machine learning method to sort the importance of variables and found that SAPII score was the most important clinical variable. The restricted cubic splines (RCS) found that SAPII score was nonlinearly correlated with prognosis, and SAPII = 33 was the threshold associated with prognosis. SAPII score was the best compared with the other five scoring systems, and the AUC curve was 0.835 (95 %CI 0.801-0.870). We also found that SAPII score was the best in the validation cohort. CONCLUSION SAPS II effectively predict 28-day mortality in ICU patients with APE, outperforming other commonly used scoring systems. It also provides practical thresholds for clinical risk stratification, which can enhance clinical decision-making and resource allocation in the ICU.
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Affiliation(s)
- Peng Liu
- Department of Cardiology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province, China
| | - Yongkui Ren
- Department of Cardiology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province, China.
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Li W, Zhuang Z, Lin H, Chen L, Zheng X, Tu J, Zeng X, Zheng D. Hourly-level association between ambient temperature and onset of acute chest pain: a case-crossover study in Foshan, China. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2025; 69:1033-1042. [PMID: 39992364 DOI: 10.1007/s00484-025-02875-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2024] [Revised: 12/11/2024] [Accepted: 02/12/2025] [Indexed: 02/25/2025]
Abstract
Exposure to low and high ambient daily temperature has been associated with cardiovascular diseases. However, the hourly association, which may enable a more precise healthcare response, has rarely been explored. This study conducted a time-stratified case-crossover analysis of emergency patients with acute chest pain at the Chest Pain Center (CPC) in Foshan, China from 2018 to 2023. We employed a conditional logistic regression model coupled with a distributed lag non-linear model (DLNM) to evaluate the hourly exposure-lag-response associations with adjustment for potential confounding factors. A total of 17,634 emergency patients with acute chest pain were recorded in this study. We found that cold exposure was significantly associated with the risk of cardiac chest pain (CCP) onset within 0-144 h prior to onset. The odds ratios (ORs) of CCP onset were 1.793 (95% CI: 1.345, 2.390) for cold air temperature (14.7 ℃) and 1.772 (95% CI: 1.353, 2.320) for cold apparent temperature (13.9 ℃), respectively. Non-optimal temperatures exposure, particularly heat, was associated with an elevated risk of non-cardiac chest pain (NCCP) onset, with the highest cumulative risk occurring at a lag of 72 h, and the corresponding ORs were 2.368 (95% CI: 1.374, 4.082) for air temperature and 2.107 (95% CI: 1.334, 3.327) for apparent temperature. This study reveals the positive association between hourly temperature and the onset of the acute chest pain. These findings highlight the importance of positive measures, such as enhancing timely temperature alert systems and optimizing medical resource allocation.
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Affiliation(s)
- Wanquan Li
- Foshan Sanshui District People's Hospital, Foshan, 528100, Guangdong Province, China
| | - Zitong Zhuang
- School of Public Health, Sun Yat-Sen University, No. 74 Zhongshan Road 2, Guangzhou, 510080, China
| | - Hualiang Lin
- School of Public Health, Sun Yat-Sen University, No. 74 Zhongshan Road 2, Guangzhou, 510080, China
| | - Ling Chen
- Foshan Sanshui District People's Hospital, Foshan, 528100, Guangdong Province, China
| | - Xiaodong Zheng
- Foshan Sanshui District People's Hospital, Foshan, 528100, Guangdong Province, China
| | - Junrong Tu
- Foshan Sanshui District People's Hospital, Foshan, 528100, Guangdong Province, China
| | - Xiaoru Zeng
- Foshan Sanshui District People's Hospital, Foshan, 528100, Guangdong Province, China.
| | - Dashan Zheng
- School of Public Health, Sun Yat-Sen University, No. 74 Zhongshan Road 2, Guangzhou, 510080, China.
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Zhang Y, Wang T, Shi J, Ma Y, Yu N, Zhou X, Zheng P, Chen Z, Jia G. The association between short-term apparent temperature exposure and human coagulation: A time-series study from Beijing, 2014-2023. ENVIRONMENT INTERNATIONAL 2025; 195:109262. [PMID: 39809080 DOI: 10.1016/j.envint.2025.109262] [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: 09/02/2024] [Revised: 12/30/2024] [Accepted: 01/07/2025] [Indexed: 01/16/2025]
Abstract
A growing body of evidence suggests that non-optimal ambient temperatures are associated with increased incidence rate and mortality of thromboembolic diseases. We aim to investigate the association between apparent temperature (AT) and coagulation, which is a central pathological link in the formation of thrombi. In this study, we conducted a time series analysis using data from 18,894 participants collected from a health check-up center in Beijing between 2014 and 2023, and validated our findings using 20,549 participants from an andrology outpatient clinic. The daily mean AT was calculated using data on ambient temperature, relative humidity, and wind speed from Beijing. Participants were matched to the lagged moving average of AT (0-7 days) based on their specific health examination dates. The study employed generalized additive models to analyzed the linear and nonlinear associations between AT and coagulation indices. The results indicated that heat resulted in shortened prothrombin time and activated partial thromboplastin time, whereas cold resulted in shortened thrombin time. Fibrinogen showed an increase at both high and low temperatures. Logistic regression analysis revealed that the risk of hypercoagulable state increased in both high and low temperature environments compared to moderate temperatures, with a significant increase observed under extreme heat conditions. Subgroup analyses by sex and age, sensitivity analyses, and the external validation indicated that the association between AT and coagulation was robust. The findings support that both cold and heat can augment blood coagulability through distinct stages of the coagulation cascade, thereby leading to an elevated risk of thromboembolic diseases.
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Affiliation(s)
- Yi Zhang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China; Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, Beijing 100083, China
| | - Tiancheng Wang
- Department of Laboratory Medicine, Peking University Third Hospital, Beijing, 100191, China
| | - Jiaqi Shi
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China; Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, Beijing 100083, China
| | - Ying Ma
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China; Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, Beijing 100083, China
| | - Nairui Yu
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China; Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, Beijing 100083, China
| | - Xinyan Zhou
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China; Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, Beijing 100083, China
| | - Pai Zheng
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China; Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, Beijing 100083, China
| | - Zhangjian Chen
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China; Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, Beijing 100083, China.
| | - Guang Jia
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China; Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, School of Public Health, Peking University, Beijing 100083, China
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Zhen K, Tao Y, Xia L, Wang S, Gao Q, Wang D, Chen Z, Meng X, Kang Y, Fan G, Zhang Z, Yang P, Liu J, Zhang Y, Si C, Wang W, Wan J, Yang Y, Liu Z, Ji Y, Shi J, Yi Q, Shi G, Guo Y, Zhang N, Cheng Z, Zhu L, Cheng Z, Zuo X, Xie W, Huang Q, Zhang S, Gan L, Liu B, Chen S, Jia C, Wang C, Zhai Z, National VTE Prevention Program. Epidemiology of pulmonary embolism in China, 2021: a nationwide hospital-based study. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2025; 54:101258. [PMID: 39759425 PMCID: PMC11699474 DOI: 10.1016/j.lanwpc.2024.101258] [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: 06/17/2024] [Revised: 11/11/2024] [Accepted: 11/21/2024] [Indexed: 01/07/2025]
Abstract
Background Pulmonary embolism (PE) as a preventable and potentially fatal noncommunicable disease was believed to have a lower incidence in Asian populations compared to Western populations. However, the incidence and mortality rates of PE in China and the impact of venous thromboembolism (VTE) prevention system constructions on PE still lack nationwide evidence. Methods For this nationwide hospital-based observational study, we used data from the National Hospital Quality Monitoring System (HQMS) and public database in China. We estimated the incidence and in-hospital mortality rates of PE by age group, sex, and regions of geographical and socioeconomic level. VTE prevention and management system constructions were quantified by geographical density. We then calculated the incidence and mortality rates in different conditions of VTE prevention and management system construction. Findings During the 12 months period between January and December 2021, a total number of 200,112 PE patients and 14,123 deaths were recorded from 5101 hospitals in the HQMS database. The incidence of PE was 14.19 (200,112, 95% CI 14.13-14.26) per 100,000 population and the mortality rate was 1.00 (95% CI 0.99-1.02) per 100,000 population. The incidence of PE was higher in male patients (14.43 per 100,000 population) than in female patients (13.95 per 100,000 population). Disparities of incidence and mortality rates were shown within age groups and geographical regions. The incidence and mortality rates of PE showed decreasing trend with increasing geographical density of VTE-related facilities and VTE prevention system developments. Interpretation China had a substantially large number of PE patients. The incidence and mortality rates of PE showed disparities in terms of sex, age, and geography. The incidence and mortality rates of PE decrease across regions with increasing levels of socioeconomic development, potentially influenced by the existing VTE prevention and management systems. Optimizing the health policies and healthcare investment in VTE prevention may help reduce the disease burden of PE. Funding CAMS Innovation Fund for Medical Sciences (CIFMS) (2023-I2M-A-014); National High Level Hospital Clinical Research Funding (2022-NHLHCRF-LX-01-0108); National Key Research and Development Program of China (2023YFC2507200); Discipline-Innovation and Talent-Introduction Program for Colleges and Universities (111 Plan, B23038).
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Affiliation(s)
- Kaiyuan Zhen
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Yuzhi Tao
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- The First Bethune Hospital of Jilin University, Changchun, China
| | - Lei Xia
- Medical Affairs Department of China-Japan Friendship Hospital, Beijing, China
| | - Shengfeng Wang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Qian Gao
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Dingyi Wang
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- Data and Project Management Unit, Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing, China
| | - Zhaofei Chen
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Xianglong Meng
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Yuting Kang
- Office of National Clinical Research for Geriatrics, Department of Scientific Research, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Guohui Fan
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- Data and Project Management Unit, Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing, China
| | - Zhu Zhang
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Peiran Yang
- Department of Physiology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Jixiang Liu
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Yu Zhang
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Chaozeng Si
- Department of Information Management, China-Japan Friendship Hospital, Beijing, China
| | - Wei Wang
- Department of Nursing, China-Japan Friendship Hospital, Beijing, China
| | - Jun Wan
- Department of Pulmonary and Critical Care Medicine, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Yuanhua Yang
- Department of Pulmonary and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Zhihong Liu
- Fuwai Hospital, Chinese Academy of Medical Science, National Center for Cardiovascular Diseases, Beijing, China
| | - Yingqun Ji
- Department of Pulmonary and Critical Care Medicine, Shanghai East Hospital Affiliated by Tongji University, Shanghai, China
| | - Juhong Shi
- Department of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Beijing, China
| | - Qun Yi
- Sichuan Cancer Hospital, University of Electronic Science and Technology of China, Chengdu, China
- West China School of Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Guochao Shi
- Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yutao Guo
- Department of Pulmonary Vessel and Thrombotic Disease, Sixth Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Nuofu Zhang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Sleep Medicine Center, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhaozhong Cheng
- Respiratory Department, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Ling Zhu
- Department of Pulmonary and Critical Care Medicine, Shandong Provincial Hospital, Jinan, China
| | - Zhe Cheng
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xianbo Zuo
- Department of Pharmacy, China-Japan Friendship Hospital, Beijing, China
| | - Wanmu Xie
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Qiang Huang
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Shuai Zhang
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Lanxia Gan
- China Standard Medical Information Research Center, Shenzhen, Guangdong, China
| | - Bing Liu
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Simiao Chen
- Heidelberg Institute of Global Health, Faculty of Medicine and University Hospital, Heidelberg University, Heidelberg, Germany
| | - Cunbo Jia
- China-Japan Friendship Hospital, Beijing, China
| | - Chen Wang
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Zhenguo Zhai
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
| | - National VTE Prevention Program
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- The First Bethune Hospital of Jilin University, Changchun, China
- Medical Affairs Department of China-Japan Friendship Hospital, Beijing, China
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
- China-Japan Friendship Hospital, Beijing, China
- Data and Project Management Unit, Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing, China
- Office of National Clinical Research for Geriatrics, Department of Scientific Research, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Department of Physiology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
- Department of Information Management, China-Japan Friendship Hospital, Beijing, China
- Department of Nursing, China-Japan Friendship Hospital, Beijing, China
- Department of Pulmonary and Critical Care Medicine, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Department of Pulmonary and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
- Fuwai Hospital, Chinese Academy of Medical Science, National Center for Cardiovascular Diseases, Beijing, China
- Department of Pulmonary and Critical Care Medicine, Shanghai East Hospital Affiliated by Tongji University, Shanghai, China
- Department of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Beijing, China
- Sichuan Cancer Hospital, University of Electronic Science and Technology of China, Chengdu, China
- West China School of Medicine, West China Hospital, Sichuan University, Chengdu, China
- Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Pulmonary Vessel and Thrombotic Disease, Sixth Medical Center, Chinese PLA General Hospital, Beijing, China
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Sleep Medicine Center, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Respiratory Department, The Affiliated Hospital of Qingdao University, Qingdao, China
- Department of Pulmonary and Critical Care Medicine, Shandong Provincial Hospital, Jinan, China
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Pharmacy, China-Japan Friendship Hospital, Beijing, China
- China Standard Medical Information Research Center, Shenzhen, Guangdong, China
- Heidelberg Institute of Global Health, Faculty of Medicine and University Hospital, Heidelberg University, Heidelberg, Germany
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Wang M, Liu A, Li X, Ran M, Tian Y, Wang J, Han B, Bai Z, Zhang Y. Periovulatory PM 2.5 constituent exposures and human clinically recognized early pregnancy loss: Susceptible exposure time windows and high-risk constituents. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 363:125238. [PMID: 39491581 DOI: 10.1016/j.envpol.2024.125238] [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: 07/24/2024] [Revised: 10/23/2024] [Accepted: 11/01/2024] [Indexed: 11/05/2024]
Abstract
Evidence for effects of PM2.5 chemical constituent exposures during the periovulatory period on pregnancy complications was limited. We explored the associations of maternal PM2.5 and constituent exposures from the 12th week before to 4th week after ovulation with human clinically recognized early pregnancy loss (CREPL). From July 2017 to January 2024, 828 CREPL and 828 normal early pregnancy (NEP) participants were recruited in Tianjin, China. Daily residential exposures to PM2.5 and five main constituents of all participants were estimated using data of the Tracking Air Pollution in China platform. Nonlinear and linear associations between weekly pollutant exposures and CREPL were estimated using conditional logistic regression models combined with distributed lag nonlinear and distributed lag models, respectively. The risk of CREPL increased with per 10 μg/m³ increment in PM2.5 and per 1 μg/m³ increment in sulfate, nitrate, and ammonium exposures during specific weeks from the 5th week before to 2nd week after ovulation, with the largest OR (95% CI) of CREPL associated with PM2.5, sulfate, nitrate, and ammonium being 1.73 (1.07, 2.78), 1.71 (1.18, 2.46), 1.80 (1.12, 2.90), and 1.61 (1.01, 2.56), respectively. CREPL was positively associated with the 10th to 90th percentiles exposure to organic matter during the 2nd and 3rd week after ovulation. In analyses for constituent residuals, the five constituents were all independently related to CREPL, with organic matter being the highest risk constituent, and nitrate and ammonium affecting at the initial stage of preantral follicle development. In conclusion, periovulatory PM2.5 and constituent exposures were associated with increased risk of CREPL. Women planning a pregnancy are advised to take exposure precautions starting from the follicular development period.
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Affiliation(s)
- Mengyuan Wang
- Department of Family Planning, The Second Hospital of Tianjin Medical University, Tianjin, 300211, China
| | - Ao Liu
- Department of Family Planning, The Second Hospital of Tianjin Medical University, Tianjin, 300211, China
| | - Xuesong Li
- Department of Family Planning, The Second Hospital of Tianjin Medical University, Tianjin, 300211, China
| | - Mingyue Ran
- Department of Family Planning, The Second Hospital of Tianjin Medical University, Tianjin, 300211, China
| | - Yinuo Tian
- Department of Family Planning, The Second Hospital of Tianjin Medical University, Tianjin, 300211, China
| | - Jianmei Wang
- Department of Family Planning, The Second Hospital of Tianjin Medical University, Tianjin, 300211, China
| | - Bin Han
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Zhipeng Bai
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China; Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, 98195, Washington, USA
| | - Yujuan Zhang
- Department of Family Planning, The Second Hospital of Tianjin Medical University, Tianjin, 300211, China; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
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6
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Hu S, Xue X, Xu J, Yin P, Meng X, Kan H, Chen R, Zhou M, Xu JF. Association of short-term exposure to ambient air pollution and temperature with bronchiectasis mortality: a nationwide time-stratified case-crossover study. EBioMedicine 2024; 110:105465. [PMID: 39577116 PMCID: PMC11617952 DOI: 10.1016/j.ebiom.2024.105465] [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: 08/10/2024] [Revised: 10/31/2024] [Accepted: 10/31/2024] [Indexed: 11/24/2024] Open
Abstract
BACKGROUND Ambient pollution and non-optimal temperature are major risk factors for respiratory health. However, the relationships between short-term exposure to these factors and bronchiectasis mortality remain unknown. METHODS A nationwide, time-stratified case-crossover study across Mainland China was conducted from 2013 to 2019. Records of bronchiectasis deaths were extracted from the National Death Registration Reporting Information System. Daily concentrations of fine particulate matter (PM2.5), coarse particulate matter (PM2.5-10), nitrogen dioxide (NO2), ozone (O3), and daily temperature were obtained from high-resolution prediction models. We utilized conditional logistic regression model and distributed lag nonlinear model to explore the associations of these exposures with bronchiectasis mortality. FINDINGS We included a total of 19,320 bronchiectasis deaths. Air pollutant was associated with bronchiectasis mortality within the first 3 days after exposure and the exposure-response relationships were almost linear. An interquartile range increase in PM2.5, PM2.5-10, and O3 was associated with increments of 3.18%, 4.14%, and 4.36% in bronchiectasis mortality at lag 02 d, respectively. Additionally, lower temperature was associated with higher odds of bronchiectasis mortality. Compared to referent temperature (23.6 °C), the odds ratio for bronchiectasis mortality associated with extremely low temperature (P1: -13.4 °C) was 1.54 (95% CI: 1.05, 2.25). INTERPRETATION This national study provides compelling evidence, and highlights the necessity and importance of reducing air pollution exposures and keeping warm for susceptible populations. FUNDING National Natural Science Foundation of China (81925001; 82330070); Innovation Program of Shanghai Municipal Education Commission (202101070007-E00097); Program of Shanghai Municipal Science and Technology Commission (21DZ2201800); Program of Shanghai Shenkang Development Center (SHDC12023110); and Major Project of National Health Commission of China.
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Affiliation(s)
- Shunlian Hu
- Department of Respiratory and Critical Care Medicine, Huadong Hospital, Shanghai Medical College, Fudan University, Shanghai, China; Shanghai Pulmonary Hospital, Institute of Respiratory Medicine, School of Medicine, Tongji University, Shanghai, China
| | - Xiaowei Xue
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Jiayan Xu
- Department of Respiratory and Critical Care Medicine, Huadong Hospital, Shanghai Medical College, Fudan University, Shanghai, China; Shanghai Pulmonary Hospital, Institute of Respiratory Medicine, School of Medicine, Tongji University, Shanghai, China
| | - Peng Yin
- National Centre for Chronic Non-communicable Disease Control and Prevention, Chinese Centre for Disease Control and Prevention, Beijing, China
| | - Xia Meng
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China.
| | - Maigeng Zhou
- National Centre for Chronic Non-communicable Disease Control and Prevention, Chinese Centre for Disease Control and Prevention, Beijing, China.
| | - Jin-Fu Xu
- Department of Respiratory and Critical Care Medicine, Huadong Hospital, Shanghai Medical College, Fudan University, Shanghai, China; Shanghai Pulmonary Hospital, Institute of Respiratory Medicine, School of Medicine, Tongji University, Shanghai, China; Centre of Respiratory Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
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7
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Leinweber ME, Hofmann AG, Karl T, Shayesteh-Kheslat R, Engelhardt M, Schmandra T, Weis-Müller B, Schmitz-Rixen T, Jung G. Chronobiological perspectives and meteorological associations in symptomatic popliteal artery aneurysms. Chronobiol Int 2024; 41:1442-1453. [PMID: 39501891 DOI: 10.1080/07420528.2024.2422867] [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: 05/02/2024] [Revised: 09/18/2024] [Accepted: 10/24/2024] [Indexed: 11/26/2024]
Abstract
The potential influence of circadian rhythm, seasonal variations, and alterations in meteorological parameters has been studied across various vascular events. However, there is a lack of evidence on the potential chronobiological impacts on thromboembolic events related to the most common peripheral aneurysm, the popliteal artery aneurysm (PAA). Data was obtained from a German PAA registry and the German Meteorological Service (Deutscher Wetterdienst). In this observational cohort study seasonality and chronobiology as well as associations with meteorological parameters of symptomatic PAA were investigated. In a multivariate logistic regression analysis, it was further analyzed whether meteorological parameters could distinguish asymptomatic from symptomatic patients in the registry. Of 1200 registered PAA, n = 142 PAA presented with acute limb ischemia between February 2011 and September 2022. More symptomatic patients (57.0%) presented to the hospital between January and June than in the second half of the year with a nadir in the fall season. Symptom onset was predominantly in the morning hours (39.5%). Atmospheric pressure and humidity values from the index dates diverged from a normal distribution showing a bimodal ("double-peak") configuration. Most patients developed symptoms after a reduction in temperatures compared to 1 or 2 d prior to the index date. However, we found evidence for an interaction between age and temperature difference, where the effects of a decreasing temperature fade with increasing age. Facing the complexity of individual-environment interactions, further investigations are needed to determine whether meteorological parameters are true risk modifiers or surrogates for seasonal differences and altered behaviors.
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Affiliation(s)
| | - Amun Georg Hofmann
- FIFOS - Forum for Integrative Research & Systems Biology, Vienna, Austria
| | - Thomas Karl
- Department of Vascular and Endovascular Surgery, Klinikum am Plattenwald, SLK-Kliniken Heilbronn GmbH, Bad Friedrichshall, Germany
| | - Roushanak Shayesteh-Kheslat
- Department of General, Visceral, Vascular and Paediatric Surgery, University of the Saarland, Homburg/Saar, Germany
| | - Michael Engelhardt
- Department of Vascular and Endovascular Surgery, Military Hospital Ulm, Ulm, Germany
| | - Thomas Schmandra
- Department of Vascular and Endovascular Surgery, Rhoen Klinikum, Bad Neustadt, Germany
| | - Barbara Weis-Müller
- Department of Vascular Surgery and Angiology, Kliniken Maria Hilf, Moenchengladbach, Germany
| | | | - Georg Jung
- Department of Vascular and Endovascular Surgery, Luzerner Kantonsspital, Lucern, Switzerland
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8
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Chen L, Wang J, Zhuo H, Wang Z, Zhang J. Association between periodic variation of air temperature, humidity, atmospheric pressure and hospital admissions for acute occlusive mesenteric ischaemia. Sci Rep 2024; 14:21426. [PMID: 39271708 PMCID: PMC11399351 DOI: 10.1038/s41598-024-72065-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: 02/16/2024] [Accepted: 09/03/2024] [Indexed: 09/15/2024] Open
Abstract
Referring to the intestinal ischemic injury caused by sudden interruption of the blood supply, acute mesenteric ischemia (AMI) is a highly fatal emergency with mortality rates varying from 58 to 80%. The aim of this study was to explore the effect of temperature on AMI admission. This was a retrospective, multicentric study. The medical records of 1477 patients with verified AMI who were consecutively admitted to 3 hospitals anytime between January 2010 and December 2020 were included in the study. Distributed lag non-linear model was applied, the model was adjusted for temperature, atmospheric pressure, relative humidity, year, holiday, day of the week, time and seasonality. AMI exhibited obvious sex preference, AMI patients tended to be male (M/F ratio = 2.3:1) and in their late 50 s. Hospital admissions of acute mesenteric arterial thromboembolism (AMAT) increased significantly with high temperatures on day of exposure and lag 0-14 day. The effect curve of daily average temperature on acute mesenteric venous thromboembolism (AMVT) admission was J-shaped, and the duration of cold effect was longer, while the duration of heat effect was shorter. An increase in hospital admissions of AMVT was found above 20 °C at lag 0-30. For the first time, our study indicated that temperature is significantly associated with the risk of AMI. Although it is not possible to always avoid exposure to extreme temperatures, one should be aware of dramatic temperature fluctuations and take appropriate precautions.
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Affiliation(s)
- Lin Chen
- Cheeloo College of Medicine, Shandong University, Jinan, China
- Department of Breast and Thyroid Surgery, Shandong Provincial Hospital, Shandong University, Jinan, China
- Department of Breast Surgery, The Second Hospital Of Shandong University, Jinan, China
| | - Jun Wang
- Department of General Surgery, Zhangdian District People's Hospital, Zibo, China
| | - Hongqing Zhuo
- Department of Gastrointestinal Surgery, Shandong Provincial Hospital Affiliated to Shandong University, Shandong Provincial Hospital affiliated to Shandong First Medical University, 324 Jing 5 Rd, Jinan, 250021, Shandong Province, China
| | - Zexin Wang
- Department of Gastrointestinal Surgery, Shandong Provincial Hospital Affiliated to Shandong University, Shandong Provincial Hospital affiliated to Shandong First Medical University, 324 Jing 5 Rd, Jinan, 250021, Shandong Province, China
| | - Jizhun Zhang
- Department of Gastrointestinal Surgery, Shandong Provincial Hospital Affiliated to Shandong University, Shandong Provincial Hospital affiliated to Shandong First Medical University, 324 Jing 5 Rd, Jinan, 250021, Shandong Province, China.
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9
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Zhang C, Zhao D, Liu F, Yang J, Ban J, Du P, Lu K, Ma R, Liu Y, Sun Q, Chen S, Li T. Dust particulate matter increases pulmonary embolism onset: A nationwide time-stratified case-crossover study in China. ENVIRONMENT INTERNATIONAL 2024; 186:108586. [PMID: 38521047 DOI: 10.1016/j.envint.2024.108586] [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: 01/23/2024] [Revised: 03/06/2024] [Accepted: 03/17/2024] [Indexed: 03/25/2024]
Abstract
BACKGROUND Particulate matter (PM) has been found to elevate the risk of pulmonary embolism (PE) onset. Among the contributors to PM, dust PM stands as the second natural source, and its emissions are escalating due to climate change. Despite this, information on the effect of dust PM on PE onset is scarce. Hence, this study aims to investigate the impacts of dust PM10, dust PM2.5-10, and dust PM2.5 on PE onset. METHODS A nationwide time-stratified case-crossover study was conducted between 2015 and 2020, using data from 18,616 PE onset cases across 1,921 hospitals in China. The analysis employed a conditional logistic regression model to quantify the associations between dust PM10, dust PM2.5-10, and dust PM2.5 and PE onset. Furthermore, the study explored the time-distributed lag pattern of the effect of dust PM on PE development. Stratified analyses were performed based on sex, age, region, and season. RESULTS Dust PM10, dust PM2.5-10, and dust PM2.5 exhibited significant health effects on PE onset, particularly concerning exposure on the same day. The peak estimates were observed at lag 01 day, with the odds ratio being 1.011 [95 % confidence interval (CI): 1.003, 1.019], 1.014 (95 % CI: 1.003, 1.026), and 1.039 (95 % CI: 1.011, 1.068), for a 10 μg/m3 increase in the concentration of dust PM10, dust PM2.5-10, and dust PM2.5, respectively. In addition, the study identified a higher risk of PE onset associated with dust PM exposure during the warm season than that in cool season, particularly for dust PM2.5. CONCLUSIONS The findings from this study suggest that short-term exposure to dust PM, particularly dust PM2.5, may trigger PE onset, posing a significant health threat. Implementing measures to mitigate dust PM emissions and protect patients with PE from dust PM exposure is imperative.
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Affiliation(s)
- Can Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Dan Zhao
- Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, Lanzhou University, Lanzhou 730000, China
| | - Feng Liu
- Department of Cardiology, Suzhou Kowloon Hospital, Shanghai Jiao Tong University School of Medicine, Suzhou 215127, China
| | - Jing Yang
- Department of Cardiology, Shanghai Xuhui Central Hospital, Zhongshan-Xuhui hospital, Fudan University, Shanghai 200031, China
| | - Jie Ban
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Peng Du
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Kailai Lu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Runmei Ma
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Yuanyuan Liu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Qinghua Sun
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Siyu Chen
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
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10
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Lv X, Shi W, Yuan K, Zhang Y, Cao W, Li C, Xu L, Wu L, Sun S, Hong F. Hourly Air Pollution Exposure and Emergency Hospital Admissions for Stroke: A Multicenter Case-Crossover Study. Stroke 2023; 54:3038-3045. [PMID: 37901948 DOI: 10.1161/strokeaha.123.044191] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 09/26/2023] [Indexed: 10/31/2023]
Abstract
BACKGROUND Daily exposure to ambient air pollution is associated with stroke morbidity and mortality; however, the association between hourly exposure to air pollutants and risk of emergency hospital admissions for stroke and its subtypes remains relatively unexplored. METHODS We obtained hourly concentrations of fine particulate matter (PM2.5), respirable particulate matter (PM10), nitrogen dioxide (NO2), sulfur dioxide (SO2), ozone (O3), and carbon monoxide (CO) from the China National Environmental Monitoring Center. We conducted a time-stratified case-crossover study among 86 635 emergency hospital admissions for stroke across 10 hospitals in 3 cities (Jinhua, Hangzhou, and Zhoushan) in Zhejiang province, China, between January 1, 2016 and December 31, 2021. Using a conditional logistic regression combined with a distributed lag linear model, we estimated the association between hourly exposure to multiple air pollutants and risk of emergency hospital admissions for total stroke, ischemic stroke, hemorrhagic stroke, and undetermined type. RESULTS Hourly exposure to PM2.5, PM10, NO2, and SO2 was associated with an increased risk of hospital admissions for total stroke and ischemic stroke. The associations were most pronounced during the concurrent hour of exposure and lasted for ≈2 hours. We found that the risk was more pronounced among male patients or those aged <65 years old. CONCLUSIONS Our findings suggest that exposure to PM2.5, PM10, NO2, and SO2, but not CO and O3, is associated with emergency hospital admissions for total stroke or ischemic stroke shortly after exposure. Implementing targeted pollution emission reduction measures may have significant public health implications in controlling and reducing the burden of stroke.
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Affiliation(s)
- Xin Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China (X.L., W.S., K.Y., Y.Z., S.S.)
| | - Wanying Shi
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China (X.L., W.S., K.Y., Y.Z., S.S.)
| | - Kun Yuan
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China (X.L., W.S., K.Y., Y.Z., S.S.)
| | - Yangchang Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China (X.L., W.S., K.Y., Y.Z., S.S.)
| | - Wangnan Cao
- Department of Social Medicine and Health Education, School of Public Health, Peking University, Beijing, China (W.C.)
| | - Chunrong Li
- Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China (C.L.)
| | - Lufei Xu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Human Resources, Peking University Cancer Hospital and Institute, China (L.X.)
| | - Lizhi Wu
- Department of Environmental Health, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China (L.W.)
| | - Shengzhi Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China (X.L., W.S., K.Y., Y.Z., S.S.)
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China (S.S., F.H.)
| | - Feng Hong
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China (S.S., F.H.)
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