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Temporal trends and rural–urban disparities in cerebrovascular risk factors, in-hospital management and outcomes in ischaemic strokes in China from 2005 to 2015: a nationwide serial cross-sectional survey

BACKGROUND: Stroke is the leading cause of mortality in China, with limited evidence of in-hospital burden obtained from nationwide surveys. We aimed to monitor and track the temporal trends and rural–urban disparities in cerebrovascular risk factors, management and outcomes from 2005 to 2015. METHO...

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Autores principales: Wang, Chun-Juan, Gu, Hong-Qiu, Zhang, Xin-Miao, Jiang, Yong, Li, Hao, Bettger, Janet Prvu, Meng, Xia, Dong, Ke-Hui, Wangqin, Run-Qi, Yang, Xin, Wang, Meng, Liu, Chelsea, Liu, Li-Ping, Tang, Bei-Sha, Li, Guo-Zhong, Xu, Yu-Ming, He, Zhi-Yi, Yang, Yi, Yip, Winnie, Fonarow, Gregg C, Schwamm, Lee H, Xian, Ying, Zhao, Xing-Quan, Wang, Yi-Long, Wang, Yongjun, Li, Zixiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9985802/
https://www.ncbi.nlm.nih.gov/pubmed/35985768
http://dx.doi.org/10.1136/svn-2022-001552
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author Wang, Chun-Juan
Gu, Hong-Qiu
Zhang, Xin-Miao
Jiang, Yong
Li, Hao
Bettger, Janet Prvu
Meng, Xia
Dong, Ke-Hui
Wangqin, Run-Qi
Yang, Xin
Wang, Meng
Liu, Chelsea
Liu, Li-Ping
Tang, Bei-Sha
Li, Guo-Zhong
Xu, Yu-Ming
He, Zhi-Yi
Yang, Yi
Yip, Winnie
Fonarow, Gregg C
Schwamm, Lee H
Xian, Ying
Zhao, Xing-Quan
Wang, Yi-Long
Wang, Yongjun
Li, Zixiao
author_facet Wang, Chun-Juan
Gu, Hong-Qiu
Zhang, Xin-Miao
Jiang, Yong
Li, Hao
Bettger, Janet Prvu
Meng, Xia
Dong, Ke-Hui
Wangqin, Run-Qi
Yang, Xin
Wang, Meng
Liu, Chelsea
Liu, Li-Ping
Tang, Bei-Sha
Li, Guo-Zhong
Xu, Yu-Ming
He, Zhi-Yi
Yang, Yi
Yip, Winnie
Fonarow, Gregg C
Schwamm, Lee H
Xian, Ying
Zhao, Xing-Quan
Wang, Yi-Long
Wang, Yongjun
Li, Zixiao
author_sort Wang, Chun-Juan
collection PubMed
description BACKGROUND: Stroke is the leading cause of mortality in China, with limited evidence of in-hospital burden obtained from nationwide surveys. We aimed to monitor and track the temporal trends and rural–urban disparities in cerebrovascular risk factors, management and outcomes from 2005 to 2015. METHODS: We used a two-stage random sampling survey to create a nationally representative sample of patients admitted for ischaemic stroke in 2005, 2010 and 2015. We sampled participating hospitals with an economic-geographical region-stratified random-sampling approach first and then obtained patients with a systematic sampling approach. We weighed our survey data to estimate the national-level results and assess changes from 2005 to 2015. RESULTS: We analysed 28 277 ischaemic stroke admissions from 189 participating hospitals. From 2005 to 2015, the estimated national hospital admission rate for ischaemic stroke per 100 000 people increased (from 75.9 to 402.7, P(trend)<0.001), and the prevalence of risk factors, including hypertension, diabetes, dyslipidaemia and current smoking, increased. The composite score of diagnostic tests for stroke aetiology assessment (from 0.22 to 0.36, P(trend)<0.001) and secondary prevention treatments (from 0.46 to 0.70, P(trend)<0.001) were improved. A temporal decrease was found in discharge against medical advice (DAMA) (from 15.2% (95% CI 13.7% to 16.7%) to 8.6% (8.1% to 9.0%); adjusted P(trend)=0.046), and decreases in in-hospital mortality (0.7% in 2015 vs 1.8% in 2005; adjusted OR (aOR) 0.52; 95% CI 0.32 to 0.85) and the composite outcome of in-hospital mortality or DAMA (8.4% in 2015 vs 13.9% in 2005; aOR 0.65; 95% CI 0.47 to 0.89) were observed. Disparities between rural and urban hospitals narrowed; however, disparities persisted in in-hospital management (brain MRI: rural–urban difference from −14.4% to −11.2%; cerebrovascular assessment: from −20.3% to −16.7%; clopidogrel: from −2.1% to −10.3%; anticoagulant for atrial fibrillation: from −10.9% to −8.2%) and in-hospital outcomes (DAMA: from 2.7% to 5.0%; composite outcome of in-hospital mortality or DAMA: from 2.4% to 4.6%). CONCLUSIONS: From 2005 to 2015, improvements in hospital admission and in-hospital management for ischaemic stroke in China were found. A temporal improvement in DAMA and improvements in in-hospital mortality and the composite outcome of in-hospital mortality or DAMA were observed. Disparities between rural and urban hospitals generally narrowed but persisted.
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spelling pubmed-99858022023-03-06 Temporal trends and rural–urban disparities in cerebrovascular risk factors, in-hospital management and outcomes in ischaemic strokes in China from 2005 to 2015: a nationwide serial cross-sectional survey Wang, Chun-Juan Gu, Hong-Qiu Zhang, Xin-Miao Jiang, Yong Li, Hao Bettger, Janet Prvu Meng, Xia Dong, Ke-Hui Wangqin, Run-Qi Yang, Xin Wang, Meng Liu, Chelsea Liu, Li-Ping Tang, Bei-Sha Li, Guo-Zhong Xu, Yu-Ming He, Zhi-Yi Yang, Yi Yip, Winnie Fonarow, Gregg C Schwamm, Lee H Xian, Ying Zhao, Xing-Quan Wang, Yi-Long Wang, Yongjun Li, Zixiao Stroke Vasc Neurol Original Research BACKGROUND: Stroke is the leading cause of mortality in China, with limited evidence of in-hospital burden obtained from nationwide surveys. We aimed to monitor and track the temporal trends and rural–urban disparities in cerebrovascular risk factors, management and outcomes from 2005 to 2015. METHODS: We used a two-stage random sampling survey to create a nationally representative sample of patients admitted for ischaemic stroke in 2005, 2010 and 2015. We sampled participating hospitals with an economic-geographical region-stratified random-sampling approach first and then obtained patients with a systematic sampling approach. We weighed our survey data to estimate the national-level results and assess changes from 2005 to 2015. RESULTS: We analysed 28 277 ischaemic stroke admissions from 189 participating hospitals. From 2005 to 2015, the estimated national hospital admission rate for ischaemic stroke per 100 000 people increased (from 75.9 to 402.7, P(trend)<0.001), and the prevalence of risk factors, including hypertension, diabetes, dyslipidaemia and current smoking, increased. The composite score of diagnostic tests for stroke aetiology assessment (from 0.22 to 0.36, P(trend)<0.001) and secondary prevention treatments (from 0.46 to 0.70, P(trend)<0.001) were improved. A temporal decrease was found in discharge against medical advice (DAMA) (from 15.2% (95% CI 13.7% to 16.7%) to 8.6% (8.1% to 9.0%); adjusted P(trend)=0.046), and decreases in in-hospital mortality (0.7% in 2015 vs 1.8% in 2005; adjusted OR (aOR) 0.52; 95% CI 0.32 to 0.85) and the composite outcome of in-hospital mortality or DAMA (8.4% in 2015 vs 13.9% in 2005; aOR 0.65; 95% CI 0.47 to 0.89) were observed. Disparities between rural and urban hospitals narrowed; however, disparities persisted in in-hospital management (brain MRI: rural–urban difference from −14.4% to −11.2%; cerebrovascular assessment: from −20.3% to −16.7%; clopidogrel: from −2.1% to −10.3%; anticoagulant for atrial fibrillation: from −10.9% to −8.2%) and in-hospital outcomes (DAMA: from 2.7% to 5.0%; composite outcome of in-hospital mortality or DAMA: from 2.4% to 4.6%). CONCLUSIONS: From 2005 to 2015, improvements in hospital admission and in-hospital management for ischaemic stroke in China were found. A temporal improvement in DAMA and improvements in in-hospital mortality and the composite outcome of in-hospital mortality or DAMA were observed. Disparities between rural and urban hospitals generally narrowed but persisted. BMJ Publishing Group 2022-08-19 /pmc/articles/PMC9985802/ /pubmed/35985768 http://dx.doi.org/10.1136/svn-2022-001552 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Original Research
Wang, Chun-Juan
Gu, Hong-Qiu
Zhang, Xin-Miao
Jiang, Yong
Li, Hao
Bettger, Janet Prvu
Meng, Xia
Dong, Ke-Hui
Wangqin, Run-Qi
Yang, Xin
Wang, Meng
Liu, Chelsea
Liu, Li-Ping
Tang, Bei-Sha
Li, Guo-Zhong
Xu, Yu-Ming
He, Zhi-Yi
Yang, Yi
Yip, Winnie
Fonarow, Gregg C
Schwamm, Lee H
Xian, Ying
Zhao, Xing-Quan
Wang, Yi-Long
Wang, Yongjun
Li, Zixiao
Temporal trends and rural–urban disparities in cerebrovascular risk factors, in-hospital management and outcomes in ischaemic strokes in China from 2005 to 2015: a nationwide serial cross-sectional survey
title Temporal trends and rural–urban disparities in cerebrovascular risk factors, in-hospital management and outcomes in ischaemic strokes in China from 2005 to 2015: a nationwide serial cross-sectional survey
title_full Temporal trends and rural–urban disparities in cerebrovascular risk factors, in-hospital management and outcomes in ischaemic strokes in China from 2005 to 2015: a nationwide serial cross-sectional survey
title_fullStr Temporal trends and rural–urban disparities in cerebrovascular risk factors, in-hospital management and outcomes in ischaemic strokes in China from 2005 to 2015: a nationwide serial cross-sectional survey
title_full_unstemmed Temporal trends and rural–urban disparities in cerebrovascular risk factors, in-hospital management and outcomes in ischaemic strokes in China from 2005 to 2015: a nationwide serial cross-sectional survey
title_short Temporal trends and rural–urban disparities in cerebrovascular risk factors, in-hospital management and outcomes in ischaemic strokes in China from 2005 to 2015: a nationwide serial cross-sectional survey
title_sort temporal trends and rural–urban disparities in cerebrovascular risk factors, in-hospital management and outcomes in ischaemic strokes in china from 2005 to 2015: a nationwide serial cross-sectional survey
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9985802/
https://www.ncbi.nlm.nih.gov/pubmed/35985768
http://dx.doi.org/10.1136/svn-2022-001552
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