A Point-Based Risk Calculator Predicting Mortality in Patients That Developed Postoperative Sepsis.

Abstract:

BACKGROUND:Predicting the mortality from post-operative sepsis remains a continuing problem. We built a statistical model using national data to predict mortality in patients who developed post-operative sepsis. METHODS:This is a retrospective study using the American College of Surgeons National Quality Surgical Improvement Program database, in which we gathered data from adult patients between 2011 and 2016 who experienced postoperative sepsis. We designed a predictive model using multivariable logistic regression on a training set and validated the model on a separate test set. RESULTS:There were 128,325 patients included in the final dataset, in which 18,499 (14.4%) died within 30-days of surgery. The model consisted of 10 covariates: American Society of Anesthesiologists Physical Status classification score, preoperative sepsis, age, chronic obstructive pulmonary disease, postoperative myocardial infarction, postoperative stroke, postoperative acute renal failure, transfusion requirement, and infection type. A point-based risk calculator was developed, which had an area under the receiver operating characteristics curve of 0.819 (95% confidence interval 0.814-0.823). CONCLUSION:Although further work is needed to confirm and validate our model on external datasets, our scoring system provides a novel way to measure mortality in septic post-operative patients.

journal_name

J Intensive Care Med

authors

Gabriel RA,Trivedi S,Schmidt UH

doi

10.1177/0885066620960991

subject

Has Abstract

pub_date

2020-10-12 00:00:00

pages

885066620960991

eissn

0885-0666

issn

1525-1489

pub_type

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