Prediction model and web-based risk calculator for postoperative ileus after loop ileostomy closure. Issue 12 (17th July 2019)
- Record Type:
- Journal Article
- Title:
- Prediction model and web-based risk calculator for postoperative ileus after loop ileostomy closure. Issue 12 (17th July 2019)
- Main Title:
- Prediction model and web-based risk calculator for postoperative ileus after loop ileostomy closure
- Authors:
- Garfinkle, R
Filion, K B
Bhatnagar, S
Sigler, G
Banks, A
Letarte, F
Liberman, S
Brown, C J
Boutros, M - Abstract:
- Abstract: Background: Postoperative ileus (POI) is a significant complication after loop ileostomy closure given both its frequency and impact on the patient. The purpose of this study was to develop and externally validate a prediction model for POI after loop ileostomy closure. Methods: The model was developed and validated according to the TRIPOD checklist for prediction model development and validation. The development cohort included consecutive patients who underwent loop ileostomy closure in two teaching hospitals in Montreal, Canada. Candidate variables considered for inclusion in the model were chosen a priori based on subject knowledge. The final prediction model, which modelled the 30-day cumulative incidence of POI using logistic regression, was selected using the highest area under the receiver operating characteristic curve (AUC) criterion. Model calibration was assessed using the Hosmer–Lemeshow goodness-of-fit test. The model was then validated externally in an independent cohort of similar patients from the University of British Columbia. Results: The development cohort included 531 patients, in whom the incidence of POI was 16·8 per cent. The final model included five variables: age, ASA fitness grade, underlying pathology/treatment, interval between ileostomy creation and closure, and duration of surgery for ileostomy closure (AUC 0·68, 95 per cent c.i. 0·61 to 0·74). The model demonstrated good calibration ( P = 0·142). The validation cohort consisted ofAbstract: Background: Postoperative ileus (POI) is a significant complication after loop ileostomy closure given both its frequency and impact on the patient. The purpose of this study was to develop and externally validate a prediction model for POI after loop ileostomy closure. Methods: The model was developed and validated according to the TRIPOD checklist for prediction model development and validation. The development cohort included consecutive patients who underwent loop ileostomy closure in two teaching hospitals in Montreal, Canada. Candidate variables considered for inclusion in the model were chosen a priori based on subject knowledge. The final prediction model, which modelled the 30-day cumulative incidence of POI using logistic regression, was selected using the highest area under the receiver operating characteristic curve (AUC) criterion. Model calibration was assessed using the Hosmer–Lemeshow goodness-of-fit test. The model was then validated externally in an independent cohort of similar patients from the University of British Columbia. Results: The development cohort included 531 patients, in whom the incidence of POI was 16·8 per cent. The final model included five variables: age, ASA fitness grade, underlying pathology/treatment, interval between ileostomy creation and closure, and duration of surgery for ileostomy closure (AUC 0·68, 95 per cent c.i. 0·61 to 0·74). The model demonstrated good calibration ( P = 0·142). The validation cohort consisted of 216 patients, and the incidence of POI was 15·7 per cent. On external validation, the model maintained good discrimination (AUC 0·72, 0·63 to 0·81) and calibration ( P = 0·538). Conclusion: A prediction model was developed for POI after loop ileostomy closure and included five variables. The model maintained good performance on external validation. Graphical Abstract: Postoperative ileus (POI) is the most significant complication after loop ileostomy closure given both its frequency and impact on the patient. A prediction model for POI after loop ileostomy closure was developed and included five variables. The model maintained good performance on external validation. Accurate prediction … (more)
- Is Part Of:
- British journal of surgery. Volume 106:Issue 12(2019)
- Journal:
- British journal of surgery
- Issue:
- Volume 106:Issue 12(2019)
- Issue Display:
- Volume 106, Issue 12 (2019)
- Year:
- 2019
- Volume:
- 106
- Issue:
- 12
- Issue Sort Value:
- 2019-0106-0012-0000
- Page Start:
- 1676
- Page End:
- 1684
- Publication Date:
- 2019-07-17
- Subjects:
- Surgery -- Periodicals
617.005 - Journal URLs:
- http://www.bjs.co.uk/bjsCda/cda/microHome.do ↗
https://academic.oup.com/bjs# ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/bjs.11235 ↗
- Languages:
- English
- ISSNs:
- 0007-1323
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2325.000000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 16230.xml