A Prognostic Model for In-Hospital Mortality in Critically Ill Patients with Pneumonia

Overview

Journal Infect Drug Resist

Publisher Dove Medical Press

Date 2022 Nov 9

PMID 36349215

Authors

Le Hu

Ying Zhang

Jia Wang

Jingchao Xuan

Jun Yang

Junyu Wang

Bing Wei

Affiliations

Soon will be listed here.

Abstract

Purpose: To determine the utility of a novel serum biomarker for the outcome prediction of critically ill patients with pneumonia.

Patients And Methods: A retrospective analysis of critically ill patients was performed at an emergency department. The expression and prediction value of parameters were assessed. Binary logistic regression analysis was utilized to determine the indicators associated with in-hospital mortality of pneumonia patients. The Last Absolute Shrinkage and Selection Operator was used to further determine the independent predictors, which were validated by multiple logistic regression. The receiver operator characteristic curve was performed to assess their prediction values. A prognostic nomogram model was finally established for the outcome prediction for critically ill patients with pneumonia.

Results: Retinol-binding protein (RBP) was significantly reduced in non-survived and pneumonia patients. CURB-65 score, levels of RBP, and blood urea nitrogen (BUN) were associated with in-hospital mortality of critically ill patients with pneumonia. Their combination was determined to be an ideal prognostic predictor (area under the curve of 0.762) and further developed into a nomogram prediction model (c-index 0.764).

Conclusion: RBP is a novel in-hospital mortality predictor, which well supplements the CURB-65 score for critical pneumonia patients.

Citing Articles

Development and validation of a predictive model for 30-day mortality in patients with severe community-acquired pneumonia in intensive care units.

Zhang Y, Peng Y, Zhang W, Deng W Front Med (Lausanne). 2024; 10:1295423.

PMID: 38259861 PMC: 10801213. DOI: 10.3389/fmed.2023.1295423.

Development and validation of an in-hospital mortality risk prediction model for patients with severe community-acquired pneumonia in the intensive care unit.

Pan J, Bu W, Guo T, Geng Z, Shao M BMC Pulm Med. 2023; 23(1):303.

PMID: 37592285 PMC: 10436447. DOI: 10.1186/s12890-023-02567-5.

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