Objective To explore whether lactate dehydrogenase(LDH)playes a role in stroke-related pneumonia(SAP),and develop a nomogram in predicting the incidence of SAP.Methods A retrospective analysis was conducted on clinical data from 4,552 stroke patients between February 2013 and January 2021.Based on the occurrence of SAP,patients were categorized into the SAP group(n=754)and the Non-SAP group(n=3,798).Univariate and multivariate logistic regression analyses were used to analyze risk factors of SAP.R software was used to construct a predictive nomogram,and the accuracy and validity of the resultant model were then evaluated using receiver operating characteristic(ROC)curves and calibration curves.The decision curve analysis(DCA)was performed to assess the clinical usefulness of the nomogram.Results LDH,age,dysphagia,type of stroke,National Institutes of Health Stroke Scale(NIHSS)score,duration of hospitalization and leukocyte were all independently associated with SAP,which were then incorporated to construct the nomogram.Calibration curves and ROC curves confirmed that the resultant nomogram offered predictive accuracy.DCA showed that this nomogram model had a great benefit in clinical usage.Conclusion LDH is a risk factor of SAP.The nomogram model based LDH offers excellent predictive accuracy,making it a valuable tool for treatment decision making.
万方数据
维普
