Identification of risk factors and construction of a nomogram predictive model for post-stroke infection in patients with acute ischemic stroke
作者机构：Department of NeurosurgeryShandong Provincial Third HospitalJinan 250031Shandong ProvinceChina Department of NeurologyShandong Provincial Third HospitalJinan 250031Shandong ProvinceChina
出 版 物：《World Journal of Clinical Cases》 (世界临床病例杂志)
年 卷 期：2024年第12卷第20期
页 面：4048-4056页
学科分类：1002[医学-临床医学] 100204[医学-神经病学] 10[医学]
基 金：Shandong Province Grassroots Health Technology Innovation Program Project No.JCK22007
主 题：Acute ischemic stroke Infection Risk factors Nomogram prediction model Chronic obstructive pulmonary disease
摘 要：BACKGROUND Post-stroke infection is the most common complication of stroke and poses a huge threat to *** addition to prolonging the hospitalization time and increasing the medical burden,post-stroke infection also significantly increases the risk of disease and *** the risk factors for post-stroke infection in patients with acute ischemic stroke(AIS)is of great *** can guide clinical practice to perform corresponding prevention and control work early,minimizing the risk of stroke-related infections and ensuring favorable disease *** To explore the risk factors for post-stroke infection in patients with AIS and to construct a nomogram predictive *** The clinical data of 206 patients with AIS admitted to our hospital between April 2020 and April 2023 were retrospectively *** data and post-stroke infection status of all study subjects were assessed,and the risk factors for poststroke infection in patients with AIS were *** Totally,48 patients with AIS developed stroke,with an infection rate of 23.3%.Age,diabetes,disturbance of consciousness,high National Institutes of Health Stroke Scale(NIHSS)score at admission,invasive operation,and chronic obstructive pulmonary disease(COPD)were risk factors for post-stroke infection in patients with AIS(P0.05).A nomogram prediction model was constructed with a C-index of 0.891,reflecting the good potential clinical efficacy of the nomogram prediction *** calibration curve also showed good consistency between the actual observations and nomogram *** area under the receiver operating characteristic curve was 0.891(95%confidence interval:0.839–0.942),showing predictive value for post-stroke *** the optimal cutoff value was selected,the sensitivity and specificity were 87.5%and 79.7%,*** Age,diabetes,disturbance of consciousness,NIHSS score at admission,invasive surgery,and COPD are risk factors for post-st
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