Prognostic model to predict postoperative acute kidney injury in patients undergoing major gastrointestinal surgery based on a national prospective observational cohort study
Author(s)
Type
Journal Article
Abstract
Background
Acute illness, existing co‐morbidities and surgical stress response can all contribute to postoperative acute kidney injury (AKI) in patients undergoing major gastrointestinal surgery. The aim of this study was prospectively to develop a pragmatic prognostic model to stratify patients according to risk of developing AKI after major gastrointestinal surgery.
Methods
This prospective multicentre cohort study included consecutive adults undergoing elective or emergency gastrointestinal resection, liver resection or stoma reversal in 2‐week blocks over a continuous 3‐month period. The primary outcome was the rate of AKI within 7 days of surgery. Bootstrap stability was used to select clinically plausible risk factors into the model. Internal model validation was carried out by bootstrap validation.
Results
A total of 4544 patients were included across 173 centres in the UK and Ireland. The overall rate of AKI was 14·2 per cent (646 of 4544) and the 30‐day mortality rate was 1·8 per cent (84 of 4544). Stage 1 AKI was significantly associated with 30‐day mortality (unadjusted odds ratio 7·61, 95 per cent c.i. 4·49 to 12·90; P < 0·001), with increasing odds of death with each AKI stage. Six variables were selected for inclusion in the prognostic model: age, sex, ASA grade, preoperative estimated glomerular filtration rate, planned open surgery and preoperative use of either an angiotensin‐converting enzyme inhibitor or an angiotensin receptor blocker. Internal validation demonstrated good model discrimination (c‐statistic 0·65).
Discussion
Following major gastrointestinal surgery, AKI occurred in one in seven patients. This preoperative prognostic model identified patients at high risk of postoperative AKI. Validation in an independent data set is required to ensure generalizability.
Acute illness, existing co‐morbidities and surgical stress response can all contribute to postoperative acute kidney injury (AKI) in patients undergoing major gastrointestinal surgery. The aim of this study was prospectively to develop a pragmatic prognostic model to stratify patients according to risk of developing AKI after major gastrointestinal surgery.
Methods
This prospective multicentre cohort study included consecutive adults undergoing elective or emergency gastrointestinal resection, liver resection or stoma reversal in 2‐week blocks over a continuous 3‐month period. The primary outcome was the rate of AKI within 7 days of surgery. Bootstrap stability was used to select clinically plausible risk factors into the model. Internal model validation was carried out by bootstrap validation.
Results
A total of 4544 patients were included across 173 centres in the UK and Ireland. The overall rate of AKI was 14·2 per cent (646 of 4544) and the 30‐day mortality rate was 1·8 per cent (84 of 4544). Stage 1 AKI was significantly associated with 30‐day mortality (unadjusted odds ratio 7·61, 95 per cent c.i. 4·49 to 12·90; P < 0·001), with increasing odds of death with each AKI stage. Six variables were selected for inclusion in the prognostic model: age, sex, ASA grade, preoperative estimated glomerular filtration rate, planned open surgery and preoperative use of either an angiotensin‐converting enzyme inhibitor or an angiotensin receptor blocker. Internal validation demonstrated good model discrimination (c‐statistic 0·65).
Discussion
Following major gastrointestinal surgery, AKI occurred in one in seven patients. This preoperative prognostic model identified patients at high risk of postoperative AKI. Validation in an independent data set is required to ensure generalizability.
Date Issued
2018-12-01
Date Acceptance
2018-05-18
Citation
BJS Open, 2018, 2 (6), pp.400-410
ISSN
2474-9842
Publisher
Wiley
Start Page
400
End Page
410
Journal / Book Title
BJS Open
Volume
2
Issue
6
Copyright Statement
© 2018 The Authors. BJS Open published by John Wiley & Sons Ltd on behalf of BJS Society Ltd. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000451116800005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Life Sciences & Biomedicine
Surgery
RENAL-FAILURE
RISK-FACTORS
MORTALITY
COMPLICATIONS
Publication Status
Published
Date Publish Online
2018-07-27