Developing and validating a prediction model for in-hospital mortality in patients with ventilator-associated pneumonia in the ICU | Zendy

Xiang Han | Zendy; Weiqin Wu | Zendy; Hongmei Zhao | Zendy; ShuMing Wang | Zendy

Open Access

Developing and validating a prediction model for in-hospital mortality in patients with ventilator-associated pneumonia in the ICU

Author(s) -

Xiang Han,

Weiqin Wu,

Hongmei Zhao,

ShuMing Wang

Publication year - 2022

Publication title -

annals of palliative medicine

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.546

H-Index - 19

eISSN - 2224-5839

pISSN - 2224-5820

DOI - 10.21037/apm-22-502

Subject(s) - medicine , receiver operating characteristic , intensive care unit , logistic regression , saps ii , pneumonia , mechanical ventilation , emergency medicine , intensive care , intensive care medicine , univariate analysis , ventilator associated pneumonia , retrospective cohort study , sofa score , multivariate analysis , apache ii

Ventilator-associated pneumonia (VAP) is a common nosocomial infection in the intensive care unit (ICU), with high in-hospital mortality. Current scoring systems are limited in predicting nosocomial death of VAP. This study aimed to develop and validate a more accurate and effective prediction model for in-hospital mortality in ICU patients with VAP.

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