Identification of risk factors and construction of a nomogram predictive model for post-stroke infection in patients with acute ischemic stroke  

作　　者：Xiao-Chen Liu Xiao-Jie Chang Si-Ren Zhao Shan-Shan Zhu Yan-Yan Tian Jing Zhang Xin-Yue Li 

机构地区：[1]Department of Neurosurgery,Shandong Provincial Third Hospital,Jinan 250031,Shandong Province,China [2]Department of Neurology,Shandong Provincial Third Hospital,Jinan 250031,Shandong Province,China

出　　处：《World Journal of Clinical Cases》2024年第20期4048-4056,共9页世界临床病例杂志

基　　金：Shandong Province Grassroots Health Technology Innovation Program Project,No.JCK22007.

摘　　要：BACKGROUND Post-stroke infection is the most common complication of stroke and poses a huge threat to patients.In addition to prolonging the hospitalization time and increasing the medical burden,post-stroke infection also significantly increases the risk of disease and death.Clarifying the risk factors for post-stroke infection in patients with acute ischemic stroke(AIS)is of great significance.It can guide clinical practice to perform corresponding prevention and control work early,minimizing the risk of stroke-related infections and ensuring favorable disease outcomes.AIM To explore the risk factors for post-stroke infection in patients with AIS and to construct a nomogram predictive model.METHODS The clinical data of 206 patients with AIS admitted to our hospital between April 2020 and April 2023 were retrospectively collected.Baseline data and post-stroke infection status of all study subjects were assessed,and the risk factors for poststroke infection in patients with AIS were analyzed.RESULTS 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(P<0.05).A nomogram prediction model was constructed with a C-index of 0.891,reflecting the good potential clinical efficacy of the nomogram prediction model.The calibration curve also showed good consistency between the actual observations and nomogram predictions.The area under the receiver operating characteristic curve was 0.891(95%confidence interval:0.839–0.942),showing predictive value for post-stroke infection.When the optimal cutoff value was selected,the sensitivity and specificity were 87.5%and 79.7%,respectively.CONCLUSION Age,diabetes,disturbance of consciousness,NIHSS score at admission,invasive surgery,and COPD are risk factors for post-stroke infection following AIS.The nomogram pred

关 键 词：Acute ischemic stroke INFECTION Risk factors Nomogram prediction model Chronic obstructive pulmonary disease 

分 类 号：R743.3[医药卫生—神经病学与精神病学]