Effect of renal function on association between uric acid and prognosis in acute ischemic stroke patients with elevated systolic blood pressure.


Journal

Neurological research
ISSN: 1743-1328
Titre abrégé: Neurol Res
Pays: England
ID NLM: 7905298

Informations de publication

Date de publication:
Nov 2020
Historique:
pubmed: 14 7 2020
medline: 21 8 2021
entrez: 14 7 2020
Statut: ppublish

Résumé

The prognostic value of uric acid in ischemic stroke remains controversial, and it is unclear whether renal function status modifies the prognostic value of uric acid in ischemic stroke patients. A total of 3284 acute ischemic stroke patients from the China Antihypertensive Trial in Acute Ischemic Stroke (CATIS) with creatinine and uric acid measurements were included in this analysis. The primary outcome was a composite of death and major disability (modified Rankin Scale score ≥3) at 1 year after stroke. The prognostic value of uric acid in ischemic stroke was appreciably modified by patients' renal function status ( The present study suggests that high serum uric acid concentration is associated with better prognosis in ischemic stroke patients with normal renal function, but not in those with abnormal renal function. The establishment of causality between increased uric acid levels and better stroke prognosis needs more suitably designed randomized clinical trials.

Sections du résumé

BACKGROUND AND AIMS OBJECTIVE
The prognostic value of uric acid in ischemic stroke remains controversial, and it is unclear whether renal function status modifies the prognostic value of uric acid in ischemic stroke patients.
METHODS METHODS
A total of 3284 acute ischemic stroke patients from the China Antihypertensive Trial in Acute Ischemic Stroke (CATIS) with creatinine and uric acid measurements were included in this analysis. The primary outcome was a composite of death and major disability (modified Rankin Scale score ≥3) at 1 year after stroke.
RESULTS RESULTS
The prognostic value of uric acid in ischemic stroke was appreciably modified by patients' renal function status (
CONCLUSION CONCLUSIONS
The present study suggests that high serum uric acid concentration is associated with better prognosis in ischemic stroke patients with normal renal function, but not in those with abnormal renal function. The establishment of causality between increased uric acid levels and better stroke prognosis needs more suitably designed randomized clinical trials.

Identifiants

pubmed: 32657261
doi: 10.1080/01616412.2020.1792688
doi:

Substances chimiques

Biomarkers 0
Uric Acid 268B43MJ25

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

923-929

Auteurs

Xiaowei Zheng (X)

Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University , Suzhou, China.

Aili Wang (A)

Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University , Suzhou, China.

Zhengbao Zhu (Z)

Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University , Suzhou, China.
Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine , New Orleans, LA, USA.

Yanbo Peng (Y)

Department of Neurology, Affiliated Hospital of North China University of Science and Technology , Tangshan, China.

Hao Peng (H)

Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University , Suzhou, China.

Chongke Zhong (C)

Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University , Suzhou, China.

Xiaoqing Bu (X)

Department of Epidemiology, School of Public Health, Chongqing Medical University , Chongqing, China.

Daoxia Guo (D)

Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University , Suzhou, China.

Tan Xu (T)

Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University , Suzhou, China.

Jing Chen (J)

Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine , New Orleans, LA, USA.
Department of Medicine, Tulane University School of Medicine , New Orleans, LA, USA.

Tian Xu (T)

Department of Neurology, Affiliated Hospital of Nantong University , Nantong, China.

Zhong Ju (Z)

Department of Neurology, Kerqin District First People's Hospital of Tongliao City , Tongliao, China.

Deqin Geng (D)

Department of Neurology, Affiliated Hospital of Xuzhou Medical College , Xuzhou, China.

Yonghong Zhang (Y)

Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University , Suzhou, China.

Jiang He (J)

Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine , New Orleans, LA, USA.
Department of Medicine, Tulane University School of Medicine , New Orleans, LA, USA.

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Classifications MeSH