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December 1, 2014PLoS ONE68 citationsOpen Access

Development of a Prediction Rule for Estimating Postoperative Pulmonary Complications

BJByeong‐Ho JeongBSBeomsu ShinJEJung Seop Eom

Key Result

A newly developed 7-factor scoring system demonstrated good discriminative ability for predicting postoperative pulmonary complications, with an area under the curve of 0.79.

Study Design

Type

Observational (n=2,059)

Multicenter

No

Structured PICO

P
Population
2,059 adult patients undergoing non-pulmonary, non-obstetric surgery who received preoperative respiratory evaluation, assessed for postoperative pulmonary complications within 7 days.
O
Outcome
Postoperative pulmonary complications (PPCs) within the first 7 postoperative days (composite of respiratory infection, respiratory failure, pleural effusion, atelectasis, pneumothorax, and bronchospasm)composite

A newly developed 7-variable clinical scoring system demonstrated good discriminative ability for predicting postoperative pulmonary complications in patients undergoing non-cardiothoracic surgery.

Main Result

Effect estimate: AUC 0.79 (95% CI 0.75-0.83)

Limitations

  • Retrospective nature for evaluating the main outcome of PPCs.
  • Potential selection bias, as respiratory consultations were at the discretion of treating surgeons (only 5.4% of surgical cases were included).
  • Single-center study at a tertiary referral center, which may limit the generalizability of the findings.
  • The new prediction rule requires validation in prospective studies.
  • Retrospective nature for evaluating main outcome
  • Selection bias (only 5.4% of surgical cases had respirology consultations)
  • Single-center tertiary referral center
  • Needs prospective validation

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 <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.

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Cite This Study

Jeong et al. (2014) conducted an observational in Postoperative pulmonary complications (PPCs) risk (n=2,059). 7-factor predictive scoring system was evaluated on Discriminative ability (AUC) of the new predictive scoring system for estimating postoperative pulmonary complications (AUC 0.79, 95% CI 0.75-0.83). A newly developed 7-factor scoring system demonstrated good discriminative ability for predicting postoperative pulmonary complications, with an area under the curve of 0.79.

synapsesocial.com/papers/6a706b1af44fa9f079de0f43https://doi.org/10.1371/journal.pone.0113656
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