Development and validation of a risk calculator for predicting postoperative pneumonia

Himani Gupta; Prateek K. Gupta; Dan Schuller; Xiang Fang; Weldon J. Miller; Ariel Modrykamien; Tammy O. Wichman; Lee E. Morrow

doi:10.1016/j.mayocp.2013.06.027

Development and validation of a risk calculator for predicting postoperative pneumonia

Himani Gupta, Prateek K. Gupta, Dan Schuller, Xiang Fang, Weldon J. Miller, Ariel Modrykamien, Tammy O. Wichman, Lee E. Morrow

Department of Medicine

Research output: Contribution to journal › Article › peer-review

76 Scopus citations

Abstract

Objective: To identify preoperative factors associated with an increased risk of postoperative pneumonia and subsequently develop and validate a risk calculator. Patients and Methods: The American College of Surgeons' National Surgical Quality Improvement Program, a multicenter, prospective data set (2007-2008) was used. Univariate and multivariate logistic regression analyses were performed. The 2007 data set (N=211,410) served as the training set, and the 2008 data set (N=257,385) served as the validation set. Results: In the training set, 3825 patients (1.8%) experienced postoperative pneumonia. Patients who experienced postoperative pneumonia had a significantly higher 30-day mortality (17.0% vs 1.5%; P

Original language	English (US)
Pages (from-to)	1241-1249
Number of pages	9
Journal	Mayo Clinic Proceedings
Volume	88
Issue number	11
DOIs	https://doi.org/10.1016/j.mayocp.2013.06.027
State	Published - Nov 2013

All Science Journal Classification (ASJC) codes

Medicine(all)

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10.1016/j.mayocp.2013.06.027

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title = "Development and validation of a risk calculator for predicting postoperative pneumonia",

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AU - Gupta, Himani

AU - Gupta, Prateek K.

AU - Schuller, Dan

AU - Fang, Xiang

AU - Miller, Weldon J.

AU - Modrykamien, Ariel

AU - Wichman, Tammy O.

AU - Morrow, Lee E.

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N2 - Objective: To identify preoperative factors associated with an increased risk of postoperative pneumonia and subsequently develop and validate a risk calculator. Patients and Methods: The American College of Surgeons' National Surgical Quality Improvement Program, a multicenter, prospective data set (2007-2008) was used. Univariate and multivariate logistic regression analyses were performed. The 2007 data set (N=211,410) served as the training set, and the 2008 data set (N=257,385) served as the validation set. Results: In the training set, 3825 patients (1.8%) experienced postoperative pneumonia. Patients who experienced postoperative pneumonia had a significantly higher 30-day mortality (17.0% vs 1.5%; P

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Development and validation of a risk calculator for predicting postoperative pneumonia

Abstract

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