Renal dysfunction is associated with lower odds of home discharge for patients with stroke.


Journal

Postgraduate medicine
ISSN: 1941-9260
Titre abrégé: Postgrad Med
Pays: England
ID NLM: 0401147

Informations de publication

Date de publication:
Nov 2021
Historique:
pubmed: 6 8 2021
medline: 15 12 2021
entrez: 5 8 2021
Statut: ppublish

Résumé

Studies on the association of estimated glomerular filtration rate (eGFR) levels with hospital discharge disposition after stroke are limited with inconsistent results. This study investigated the odds of home discharge with eGFR levels at admission for patients with stroke using the Taiwan Stroke Registry (TSR) data. From the TSR database, a total of 51,338 stroke patients from 2006 to 2015 were categorized into five groups based on eGFR levels at admission. The proportion of home discharge by the eGFR levels was calculated and logistic regression analysis was used to estimate the related odds ratio (OR) and 95% confidence interval. Near 85% of stroke patients were discharged to home. The proportion of home discharges decreased as the eGFR level declined. Compared to patients with eGFR ≥90 mL/min/1.73 m The odds of home discharge for stroke patients decreased with a significant independent graded association with declining eGFR levels. Renal function could predict home discharge after stroke.

Identifiants

pubmed: 34351833
doi: 10.1080/00325481.2021.1964198
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

865-872

Auteurs

I-Kuan Wang (IK)

Graduate Institute Of Biological Sciences, College Of Medicine, China Medical University, Taichung, Taiwan.
Divisions Of Nephrology, China Medical University Hospital, Taichung, Taiwan.
Department Of Medicine, College Of Medicine, China Medical University, Taichung, Taiwan.

Tung-Min Yu (TM)

Division Of Nephrology, Taichung Veterans General Hospital, Taichung, Taiwan.

Tzung-Hai Yen (TH)

Division Of Nephrology, Chang Gung Memorial Hospital, Taipei, Taiwan.
College Of Medicine, Chang Gung University, Taoyuan, Taiwan.

Lu-Ting Chiu (LT)

Management Office For Health Data, China Medical University Hospital, Taichung, Taiwan.

Li-Ming Lien (LM)

Department Of Neurology, Shin Kong Wu-Ho-Su Memorial Hospital, Taipei, Taiwan.
Department Of Neurology, College Of Medicine, Taipei Medical University, Taipei, Taiwan.

Yu Sun (Y)

Department Of Neurology, En Chu Kong Hospital, New Taipei City, Taiwan.

Cheng-Yu Wei (CY)

Department Of Neurology, Chang Bing Show Chwan Memorial Hospital, Changhua County, Taiwan.
Department Of Exercise And Health Promotion, College Of Education, Chinese Culture University, Taipei, Taiwan.

Kai-Cheng Hsu (KC)

Artificial Intelligence Center For Medical Diagnosis, China Medical University, Taichung, Taiwan.
Department Of Neurology, China Medical University Hospital, Taichung, Taiwan.

Ping-Chin Lai (PC)

Divisions Of Nephrology, China Medical University Hospital, Taichung, Taiwan.

Chi-Yuan Li (CY)

Graduate Institute Of Biological Sciences, College Of Medicine, China Medical University, Taichung, Taiwan.
Department Of Anesthesiology, China Medical University Hospital, Taichung, Taiwan.

Fung-Chang Sung (FC)

Management Office For Health Data, China Medical University Hospital, Taichung, Taiwan.
Department Of Health Services Administration, China Medical University College Of Public Health, Taichung, Taiwan.
Department Of Food Nutrition And Health Biotechnology, Asia University, Taichung, Taiwan.

Chung Y Hsu (CY)

Graduate Institute Of Biological Sciences, College Of Medicine, China Medical University, Taichung, Taiwan.

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Classifications MeSH