Prediction of poststroke cognitive impairment based on the systemic inflammatory response index

Autor: Min Chu, Yunhe Luo, Daosheng Wang, Zhuohang Liu, Huicong Niu, Xuechun Wu, Yong Wang, Jixian Lin, Qiang Wang, Jing Zhao
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Brain and Behavior, Vol 14, Iss 1, Pp n/a-n/a (2024)
Druh dokumentu: article
ISSN: 2162-3279
DOI: 10.1002/brb3.3372
Popis: Abstract Background Poststroke cognitive impairment (PSCI) is a prevalent complication among stroke survivors. Although the systemic inflammatory response index (SIRI) has been shown to be a reliable predictor of a variety of inflammatory diseases, the association between the SIRI and PSCI is still unclear. Therefore, the purpose of this study was to investigate the relationship between SIRI and PSCI, and to design a nomogram to predict the risk of PSCI in acute ischemic stroke (AIS) patients. Methods A total of 1342 patients with AIS were included in the study. Using the Mini‐Mental State Examination scale, patients were separated into PSCI and non‐PSCI groups within 2 weeks of stroke. Clinical data and SIRI values were compared between the groups. We developed the optimal nomogram for predicting PSCI using multivariate logistic regression. Finally, the nomogram was validated using the receiver operating characteristic curve, calibration curve, and decision curve analysis (DCA). Results In total, 690 (51.4%) patients were diagnosed with PSCI. After adjusting for potential confounders, the SIRI (OR = 1.226, OR: 1.095–1.373, p
Databáze: Directory of Open Access Journals
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