Literature DB >> 31589988

Impact of atrial fibrillation/flutter on the in-hospital mortality of ischemic stroke patients.

Karsten Keller1, Lukas Hobohm2, Philip Wenzel3, Thomas Münzel4, Christine Espinola-Klein5, Mir A Ostad5.   

Abstract

BACKGROUND: Stroke is the second leading cause of death worldwide. Ischemic strokes, which are caused by atrial fibrillation/flutter (AF), may be more devastating than those that occur without AF.
OBJECTIVE: The purpose of this study was to investigate the impact of AF on adverse events in hospitalized ischemic stroke patients and to estimate the elevated impact of AF on the occurrence of these adverse events.
METHODS: The nationwide German inpatient sample of the years 2005-2015 was used for this analysis. Ischemic stroke patients were identified by ICD code I63 and stratified by AF. Logistic regression models were used to investigate the impact of AF on adverse in-hospital events and adjusted for age, sex, and comorbidities to prove the independence of the associations.
RESULTS: Overall, 2,958,697 hospitalized ischemic stroke patients (50.5% female, 65.4% age >70 years) were included in the analysis. Of these patients, 849,466 (28.7%) were diagnosed with AF. Overall, 9.0% of the stroke patients died in-hospital. The case fatality rate increased with age and was higher in stroke patients with AF than in those without AF (13.0% vs 7.3%; P <.001). AF was an important predictor of in-hospital death (odds ratio 1.30; 95% confidence interval 1.28-1.31; P <.001) and adverse events during hospitalization, independent of age, sex, and comorbidities. Deterioration of patient prognosis due to AF was especially pronounced in younger patients.
CONCLUSION: AF in ischemic stroke patients is associated with higher in-hospital mortality and higher rate of adverse events during hospitalization, independent of age, sex, and comorbidities.
Copyright © 2019 Heart Rhythm Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Atrial fibrillation; Complications; Ischemic stroke; Mortality

Mesh:

Year:  2019        PMID: 31589988     DOI: 10.1016/j.hrthm.2019.10.001

Source DB:  PubMed          Journal:  Heart Rhythm        ISSN: 1547-5271            Impact factor:   6.343


  4 in total

1.  Predictors of in-hospital and 90-day post-discharge stroke mortality in Lusaka, Zambia.

Authors:  Aparna Nutakki; Mashina Chomba; Lorraine Chishimba; Mataa M Mataa; Stanley Zimba; Michelle Kvalsund; Rebecca F Gottesman; Mona N Bahouth; Deanna Saylor
Journal:  J Neurol Sci       Date:  2022-04-06       Impact factor: 4.553

2.  Clinical scoring model based on age, NIHSS, and stroke-history predicts outcome 3 months after acute ischemic stroke.

Authors:  Gang-Yu Ding; Jian-Hua Xu; Ji-Hong He; Zhi-Yu Nie
Journal:  Front Neurol       Date:  2022-08-05       Impact factor: 4.086

3.  KLF15 Loss-of-Function Mutation Underlying Atrial Fibrillation as well as Ventricular Arrhythmias and Cardiomyopathy.

Authors:  Ning Li; Ying-Jia Xu; Hong-Yu Shi; Chen-Xi Yang; Yu-Han Guo; Ruo-Gu Li; Xing-Biao Qiu; Yi-Qing Yang; Min Zhang
Journal:  Genes (Basel)       Date:  2021-03-12       Impact factor: 4.096

4.  Atrial Fibrillation Is Not an Independent Determinant of Mortality Among Critically Ill Acute Ischemic Stroke Patients: A Propensity Score-Matched Analysis From the MIMIC-IV Database.

Authors:  Chen-Shu Wu; Po-Huang Chen; Shu-Hao Chang; Cho-Hao Lee; Li-Yu Yang; Yen-Chung Chen; Hong-Jie Jhou
Journal:  Front Neurol       Date:  2022-01-17       Impact factor: 4.003

  4 in total

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