Journal Article
Multicenter Study
Add like
Add dislike
Add to saved papers

A simple predictor of post-operative complications after open surgical adhesiolysis for small bowel obstruction.

BACKGROUND: Small bowel obstruction is common and often requires surgical management. Simple preoperative models are lacking to predict post-operative complications after surgical management of adhesive small bowel obstruction.

METHODS: We retrospectively analyzed data from 15,036 patients who underwent open lysis of adhesions for small bowel obstruction from 2005 to 2013 using the American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) database. Predictors of post-operative complications were identified using logistic regression. Predictive models were compared using areas under the receiver operating characteristic curves (AUROC).

RESULTS: A three-parameter model was constructed, termed FAS: Functional status, American Society of Anesthesiologists (ASA) classification, and prior Sepsis. FAS predicted post-operative complications with odds ratio (OR) 1.11, 95% CI (1.10, 1.12), P < 0.001 and AUROC of 0.69, 95% CI (0.67, 0.70).

CONCLUSIONS: FAS predicts post-operative complications after open lysis of adhesions using three readily available clinical parameters.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app