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Development of a Prediction Rule for Estimating Postoperative Pulmonary Complications
- Jeong, Byeong-Ho;
- Shin, Beomsu;
- Eom, Jung Seop;
- Yoo, Hongseok;
- Song, Wonjun;
- ... Han, Sangbin;
- ... Lee, Kyung Jong;
- ... Jeon, Kyeongman;
- ... Um, Sang-Won;
- ... Suh, Gee Young;
- ... Park, Hye Yun;
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48SCOPUS
58초록
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 <4 g/dL (1 point), emergency surgery (2 points), and non-laparoscopic abdominal/cardiac/aortic aneurysm repair surgery (4 points). The area under the curve was 0.79 (95% CI, 0.75-0.83) with the newly developed model. The new risk stratification including laparoscopic surgery has a good discriminative ability for estimating PPCs in our study cohort. Further research is needed to validate this new prediction rule.
키워드
- 제목
- Development of a Prediction Rule for Estimating Postoperative Pulmonary Complications
- 저자
- Jeong, Byeong-Ho; Shin, Beomsu; Eom, Jung Seop; Yoo, Hongseok; Song, Wonjun; Han, Sangbin; Lee, Kyung Jong; Jeon, Kyeongman; Um, Sang-Won; Koh, Won-Jung; Suh, Gee Young; Chung, Man Pyo; Kim, Hojoong; Kwon, O. Jung; Woo, Sookyoung; Park, Hye Yun
- 발행일
- 2014-12-01
- 유형
- Article
- 저널명
- PLoS One
- 권
- 9
- 호
- 12
- 언어
- ENG
- 출판사
- Public Library of Science
- ISSN
- E 1932-6203