Literature DB >> 29395642

One-Year Risk of Pneumonia and Mortality in Patients with Poststroke Dysphagia: A Nationwide Population-Based Study.

Chung-Han Ho1, Wen-Chih Lin2, Ya-Fang Hsu3, I-Hui Lee4, Yi-Chieh Hung5.   

Abstract

BACKGROUND: In the early stages of stroke, the use of a nasogastric tube can reduce complications such as malnutrition, dehydration, and pneumonia. However, its long-term efficacy is controversial.
METHODS: This retrospective cohort study used Taiwan's National Health Insurance Research Database to investigate associations among dysphagia, rate of readmission due to pneumonia, and mortality 1 year after stroke. Patients who had received their first stroke diagnosis and inpatient rehabilitation from January 1, 2006, to December 31, 2010, were enrolled. The presence of dysphagia was determined by the number of nasogastric tubes received (≥2 was classified as dysphagia, <2 as control). Kaplan-Meier plots with log-rank tests revealed differences between the 2 groups, and a Cox regression model was used to estimate the hazard ratio.
RESULTS: There were 5032 patients in the dysphagia group and 52,323 patients in the control group. The dysphagia group had a higher probability and incidence of pneumonia (18.78% versus 6.52%, P < .001 and adjusted hazard ratio [AHR] = 2.00, 95% confidence interval [CI] = 1.84-2.16) and a higher mortality rate (10.45% versus 4.77%, P < .001; AHR = 1.61, 95% CI = 1.46-1.79) 1 year after stroke.
CONCLUSIONS: The association persisted until the 5-year poststroke time point. Our results suggest that prolonged nasogastric tube use has negative effects. Intensive evaluation of dysphagia and removal of the nasogastric tube in the early stages of stroke might reduce pneumonia incidence and mortality.
Copyright © 2018 National Stroke Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Mortality; nasogastric tube; pneumonia; population-based study; poststroke dysphagia

Mesh:

Year:  2018        PMID: 29395642     DOI: 10.1016/j.jstrokecerebrovasdis.2017.12.017

Source DB:  PubMed          Journal:  J Stroke Cerebrovasc Dis        ISSN: 1052-3057            Impact factor:   2.136


  9 in total

1.  Risk factors and pathogenic microorganism characteristics for pneumonia in convalescent patients with stroke: A retrospective study of 380 patients from a rehabilitation hospital: A retrospective study of risk factors and pathogenic microorganism characteristics for pneumonia in convalescent patients with stroke.

Authors:  Jia Xu; Zhiling Yang
Journal:  J Stroke Cerebrovasc Dis       Date:  2020-05-14       Impact factor: 2.136

2.  Incidence, Risk Factors and Outcomes of Sepsis in Critically Ill Post-craniotomy Patients: A Single-Center Prospective Cohort Study.

Authors:  Jianfang Zhou; Xu-Ying Luo; Guang-Qiang Chen; Hong-Liang Li; Ming Xu; Shuai Liu; Yan-Lin Yang; Guangzhi Shi; Jian-Xin Zhou; Linlin Zhang
Journal:  Front Public Health       Date:  2022-05-17

3.  Nationwide Prevalence and Outcomes of Long-Term Nasogastric Tube Placement in Adults.

Authors:  Chung Y Hsu; Jung-Nien Lai; Woon-Man Kung; Chao-Hsien Hung; Hei-Tung Yip; Yu-Chen Chang; Cheng-Yu Wei
Journal:  Nutrients       Date:  2022-04-22       Impact factor: 6.706

4.  Use of Opioids and Outcomes of Pneumonia: Results From the US Nationwide Inpatient Sample.

Authors:  Yeongjun James Park; Chia-Hung Yo; Wan-Ting Hsu; Eric Po-Yang Tsou; Yu-Chiang Wang; Dean-An Ling; An-Fu Lee; Michael A Liu; Chien-Chang Lee
Journal:  J Acute Med       Date:  2021-12-01

5.  Risk factors and pathogenic microorganism characteristics for pneumonia in convalescent patients with stroke: A retrospective study of 380 patients from a rehabilitation hospital.

Authors:  Jia Xu; Zhiling Yang
Journal:  J Stroke Cerebrovasc Dis       Date:  2020-05-14       Impact factor: 2.136

6.  Individualized Prediction Of Stroke-Associated Pneumonia For Patients With Acute Ischemic Stroke.

Authors:  Gui-Qian Huang; Yu-Ting Lin; Yue-Min Wu; Qian-Qian Cheng; Hao-Ran Cheng; Zhen Wang
Journal:  Clin Interv Aging       Date:  2019-11-07       Impact factor: 4.458

7.  Association of history of cerebrovascular disease with severity of COVID-19.

Authors:  Timo Siepmann; Annahita Sedghi; Jessica Barlinn; Katja de With; Lutz Mirow; Martin Wolz; Thomas Gruenewald; Sina Helbig; Percy Schroettner; Simon Winzer; Simone von Bonin; Haidar Moustafa; Lars-Peder Pallesen; Bernhard Rosengarten; Joerg Schubert; Andreas Gueldner; Peter Spieth; Thea Koch; Stefan Bornstein; Heinz Reichmann; Volker Puetz; Kristian Barlinn
Journal:  J Neurol       Date:  2020-08-06       Impact factor: 4.849

8.  Predicting 30-Day Readmission for Stroke Using Machine Learning Algorithms: A Prospective Cohort Study.

Authors:  Yu-Ching Chen; Jo-Hsuan Chung; Yu-Jo Yeh; Shi-Jer Lou; Hsiu-Fen Lin; Ching-Huang Lin; Hong-Hsi Hsien; Kuo-Wei Hung; Shu-Chuan Jennifer Yeh; Hon-Yi Shi
Journal:  Front Neurol       Date:  2022-07-04       Impact factor: 4.086

Review 9.  The association between stroke and COVID-19-related mortality: a systematic review and meta-analysis based on adjusted effect estimates.

Authors:  Shuwen Li; Jiahao Ren; Hongjie Hou; Xueya Han; Jie Xu; Guangcai Duan; Yadong Wang; Haiyan Yang
Journal:  Neurol Sci       Date:  2022-03-24       Impact factor: 3.307

  9 in total

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