Establishment and validation of a nomogram to predict the in-hospital death risk of nosocomial infections in cancer patients.

ABSTRACT:

Background

Attributed to the immunosuppression caused by malignancy itself and its treatments, cancer patients are vulnerable to developing nosocomial infections. This study aimed to develop a nomogram to predict the in-hospital death risk of these patients.

Methods

This retrospective study was conducted at a medical center in Northwestern China. The univariate and multivariate logistic regression analyses were adopted to identify predictive factors for in-hospital mortality of nosocomial infections in cancer patients. A nomogram was developed to predict the in-hospital mortality of each patient, with receiver operating characteristic curves and calibration curves being generated to assess its predictive ability. Furthermore, decision curve analysis (DCA) was also performed

SUBMITTER: Jiang A 

PROVIDER: S-EPMC8822816 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature