医学
肺炎
蛛网膜下腔出血
入射(几何)
逻辑回归
内科学
接收机工作特性
单变量分析
曲线下面积
重症监护室
重症监护医学
多元分析
物理
光学
作者
Ruoran Wang,Jing Zhang,Min He,Jianguo Xu
标识
DOI:10.1016/j.intimp.2022.108845
摘要
Pneumonia is a common complication in aneurysmal subarachnoid hemorrhage (aSAH) patients and has been confirmed associated with unfavorable outcome of aSAH patients. This study is designed to explore risk factors and develop predictive model of hospital acquired pneumonia in aSAH patients.351 aSAH patients received treatments in the neuro-intensive care unit (NICU) of West China hospital were included. Univariate and multivariate logistic regression were performed to explore risk factors of hospital acquired pneumonia. And predictive model for pneumonia was also constructed using logistic regression. Area under the receiver operating characteristics curve (AUC) were calculated to evaluate the accuracy of the constructed model and single markers.96 aSAH patients developed hospital acquired pneumonia with incidence of 27.4%. Logistic regression analysis showed World Federation of Neurosurgical Societies (WFNS) score (0R = 1.677, p = 0.006), neutrophil count (0R = 1.300, p = 0.042), red blood cell transfusion (0R = 3.035, p = 0.030) and tracheostomy (0R = 7.645, p < 0.001) were independent risk factors of pneumonia in aSAH patients. Consisted of these four factors, the constructed model was valuable in predicting pneumonia with AUC of 0.808. The AUC of neutrophil to lymphocyte ratio and lactate dehydrogenase for predicting pneumonia was 0.671 and 0.613, respectively.WFNS, high neutrophil at admission, need of RBC transfusion and tracheostomy were independent risk factors of hospital acquired pneumonia in aSAH patients. The novel predictive model we constructed is efficient in evaluating possibility of pneumonia in aSAH patients during hospitalizations.
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