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Development of a prediction rule for estimating postoperative pulmonary complications.

Authors :
Byeong-Ho Jeong
Beomsu Shin
Jung Seop Eom
Hongseok Yoo
Wonjun Song
Sangbin Han
Kyung Jong Lee
Kyeongman Jeon
Sang-Won Um
Won-Jung Koh
Gee Young Suh
Man Pyo Chung
Hojoong Kim
O Jung Kwon
Sookyoung Woo
Hye Yun Park
Source :
PLoS ONE, Vol 9, Iss 12, p e113656 (2014)
Publication Year :
2014
Publisher :
Public Library of Science (PLoS), 2014.

Abstract

Patient- and procedure-related factors associated with postoperative pulmonary complications (PPCs) have changed over the last decade. Therefore, we sought to identify independent risk factors of PPCs and to develop a clinically applicable scoring system. We retrospectively analyzed clinical data from 2,059 patients who received preoperative evaluations from respiratory physicians between June 2011 and October 2012. A new scoring system for estimating PPCs was developed using beta coefficients of the final multiple regression models. Of the 2,059 patients studied, 140 (6.8%) had PPCs. A multiple logistic regression model revealed seven independent risk factors (with scores in parentheses): age ≥70 years (2 points), current smoker (1 point), the presence of airflow limitation (1 point), American Society of Anesthesiologists class ≥2 (1 point), serum albumin

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
19326203
Volume :
9
Issue :
12
Database :
Directory of Open Access Journals
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
edsdoj.743703f8066e4110a909b0b07aa25a25
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pone.0113656