Literature DB >> 27838433

Patterns of Stroke Between University Hospitals and Nonuniversity Hospitals in Mainland China: Prospective Multicenter Hospital-Based Registry Study.

Deren Wang1, Junfeng Liu1, Ming Liu2, Chuanzhen Lu3, Michael Brainin4, Juying Zhang5.   

Abstract

BACKGROUND AND
OBJECTIVE: In China, stroke has risen to the first commonest cause of death. Currently published data on stroke come mainly from university hospitals and less from community hospitals, especially lacking information on stroke focusing on the differences between university hospitals and nonuniversity hospitals. Therefore we aimed to investigate the patterns and differences of acute stroke between university hospitals and nonuniversity hospitals in China.
METHODS: The survey was conducted in 281 hospitals in China: 62 in the west, 85 in the middle, and 134 in the eastern regions. The participating hospitals were sorted into university hospitals (n = 93) and nonuniversity hospitals (n = 118). We prospectively registered patients with acute stroke within 7 days of symptom onset between 1 April and 20 May 2006. The diagnosis of stroke was defined by World Health Organization criteria, and the pathologic types of stroke were determined by clinical and computed tomography/magnetic resonance imaging findings. The demographic data, pathologic types of stroke, and outcomes (death or disability) at discharge (or 30 days if not discharged) were collected. Disability was defined as modified Rankin Scale (mRs) score >2. Basic characteristics, pathologic types of stroke, and functional outcomes were compared between university hospitals and nonuniversity hospitals.
RESULTS: We enrolled 5273 patients (3135 males; mean age, 65 ± 12 years), of which ischemic stroke accounted for 70.8% (3733), intracranial hemorrhage for 25.7% (1357), and subarachnoid hemorrhage for 3.5% (183). Most of the patients (3555, or 67.4%) were from nonuniversity hospitals, and 1718 patients (32.6%) came from university hospitals. There were no significant differences between university hospitals and nonuniversity hospitals in terms of age, sex, pathologic types of stroke, and history of stroke (all P > 0.05), except the less stroke severity (mRS) on admission (3.1 ± 1.4 vs. 3.2 ± 1.3; P = 0.005) in patients from nonuniversity hospitals. After adjustment for age, sex, and mRS on admission, only patients with intracranial hemorrhage from nonuniversity hospitals had significantly lower proportions of disability (40.8% vs. 47.1%; P = 0.005) and death/disability (49.9% vs. 57.1%; P = 0.008) at discharge than those from university hospitals.
CONCLUSION: This survey comparing stroke patients treated in university and nonuniversity hospitals in China showed that both cohorts were largely comparable including most demographic features, such as age and gender, history of stroke, and stroke subtypes. It may be concluded that patient cohorts treated on stroke units in university and nonuniversity hospitals are similar and stroke units in both types of institutions are also comparable in terms of workload and most patient outcomes.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Acute stroke patterns; China; Multicenter; Nonuniversity hospitals; University hospitals

Mesh:

Year:  2016        PMID: 27838433     DOI: 10.1016/j.wneu.2016.11.006

Source DB:  PubMed          Journal:  World Neurosurg        ISSN: 1878-8750            Impact factor:   2.104


  16 in total

1.  Evolution of ischemic stroke drug clinical trials in mainland China from 2005 to 2021.

Authors:  Chunrui Bo; Tianqi Wang; Chengbei Hou; Jinming Han; Lixia Chen; Huixue Zhang; Lihua Wang; Hongyan Li
Journal:  CNS Neurosci Ther       Date:  2022-06-01       Impact factor: 7.035

2.  Hemispheric Difference of Regional Brain Function Exists in Patients With Acute Stroke in Different Cerebral Hemispheres: A Resting-State fMRI Study.

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Journal:  Front Aging Neurosci       Date:  2021-07-09       Impact factor: 5.750

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Authors:  Lu Qin; Xiaowei Xu; Lingling Ding; Zixiao Li; Jiao Li
Journal:  BMC Med Inform Decis Mak       Date:  2020-07-09       Impact factor: 2.796

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Journal:  BMC Womens Health       Date:  2019-01-16       Impact factor: 2.809

5.  Revealing the Pharmacological Mechanism of Acorus tatarinowii in the Treatment of Ischemic Stroke Based on Network Pharmacology.

Authors:  FengZhi Liu; Qian Zhao; Suxian Liu; Yingzhi Xu; Dongrui Zhou; Ying Gao; Lingqun Zhu
Journal:  Evid Based Complement Alternat Med       Date:  2020-10-31       Impact factor: 2.629

6.  Association of Level and Increase in D-Dimer With All-Cause Death and Poor Functional Outcome After Ischemic Stroke or Transient Ischemic Attack.

Authors:  Huiqing Hou; Xianglong Xiang; Yuesong Pan; Hao Li; Xia Meng; Yongjun Wang
Journal:  J Am Heart Assoc       Date:  2021-01-08       Impact factor: 5.501

7.  Evaluation of the Anatomical Locations of Stroke Events From Computed Tomography Scan Examinations in a Tertiary Facility in Ghana.

Authors:  Emmanuel K Edzie; Klenam Dzefi-Tettey; Philip Gorleku; Adu Tutu Amankwa; Ewurama Idun; Edmund K Brakohiapa; Obed Cudjoe; Frank Quarshie; Richard A Edzie; Abdul R Asemah
Journal:  Cureus       Date:  2021-03-25

8.  Neuroprotective effect of dimethyl fumarate on cognitive impairment induced by ischemic stroke.

Authors:  Xiaowen Hou; Haibin Xu; Wanli Chen; Nannan Zhang; Ziai Zhao; Xin Fang; Xing Zhang; Huisheng Chen; Yuanyuan Xu
Journal:  Ann Transl Med       Date:  2020-03

9.  Identification of Co-expressed Genes Between Atrial Fibrillation and Stroke.

Authors:  Yan-Fei Zhang; Ling-Bing Meng; Meng-Lei Hao; Jie-Fu Yang; Tong Zou
Journal:  Front Neurol       Date:  2020-03-24       Impact factor: 4.003

10.  Effectiveness comparisons of different Chinese herbal injection therapies for acute cerebral infarction: A protocol for systematic review and network meta-analysis.

Authors:  Runmin Li; Ying Li; Bingchen Li; Haiyang Sun; Xinyu Liu; Xin Ge; Yuanxiang Liu; Jiguo Yang
Journal:  Medicine (Baltimore)       Date:  2020-08-07       Impact factor: 1.817

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