Bibliographic Details
| Title: |
Predictive Value of Sarcopenia Index for Prognosis in Elderly Patients with Acute Ischemic Stroke |
| Authors: |
XIE Yi, XU Junma, XU Fangqin, LI Chao, CHEN Chen, SHAO Chan |
| Source: |
Zhongguo quanke yixue, Vol 27, Iss 11, Pp 1326-1330 (2024) |
| Publisher Information: |
Chinese General Practice Publishing House Co., Ltd, 2024. |
| Publication Year: |
2024 |
| Collection: |
LCC:Medicine |
| Subject Terms: |
ischemic stroke, aged, acute ischemic stroke, sarcopenia index, prognosis, retrospective study, logistic models, Medicine |
| More Details: |
Background Poor prognosis in elderly patients with acute ischemic stroke (AIS) has put great pressure on public health. Actively searching for simple and easy-to-operate clinical indicators to screen high-risk groups with poor prognosis has become a hot issue. Objective To analyze the predictive value of sarcopenia index (SI) on the prognosis of elderly patients with AIS. Methods A total of 280 elderly AIS patients hospitalized in Changzhou Jintan First People's Hospital from July 2021 to June 2022 were selected and divided into the poor prognosis group (≥3 points) and good prognosis group (≤2 points) according to the Modified Rankin Scale (mRS). Baseline data and National Institutes of Health Stroke Scale (NIHSS) scores at admission and discharge were compared between the two groups. Multivariate Logistic regression analysis was used to explore the factors affecting the prognosis of elderly patients with AIS, and a receiver operating characteristic (ROC) curve was plotted to analyze the value of SI in predicting poor prognosis in elderly patients with AIS. Results There were 212 cases in the good prognosis group and 68 cases in the poor prognosis group. There were significant differences in the history of diabetes and previous stroke, neutrophil count (NE), lymphocyte count (LY), albumin (ALB), admission NIHSS score, discharge NIHSS score, and SI between patients between the poor prognosis group and good prognosis group (P |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
Chinese |
| ISSN: |
1007-9572 |
| Relation: |
https://www.chinagp.net/fileup/1007-9572/PDF/2023-060573.pdf; https://doaj.org/toc/1007-9572 |
| DOI: |
10.12114/j.issn.1007-9572.2023.0689 |
| Access URL: |
https://doaj.org/article/9d861bcd437242b38340695ee2a5da72 |
| Accession Number: |
edsdoj.9d861bcd437242b38340695ee2a5da72 |
| Database: |
Directory of Open Access Journals |
