Validation of Artificial Intelligence-Based POTTER Calculator in Emergency General Surgery Patients Undergoing Laparotomy: Prospective, Bi-Institutional Study.


Journal

Journal of the American College of Surgeons
ISSN: 1879-1190
Titre abrégé: J Am Coll Surg
Pays: United States
ID NLM: 9431305

Informations de publication

Date de publication:
28 Oct 2024
Historique:
medline: 28 10 2024
pubmed: 28 10 2024
entrez: 28 10 2024
Statut: aheadofprint

Résumé

The POTTER calculator, a widely used interpretable artificial intelligence (AI) risk calculator, has been validated in population-based studies and shown to predict outcomes in emergency general surgery (EGS) patients better than surgeons. We sought to prospectively validate POTTER. Patients undergoing an emergency exploratory laparotomy for non-trauma indications at two Academic Medical Centers between June 2020 and March 2022 were included. POTTER preoperative risk calculations and postoperative outcomes were systematically recorded. POTTER's performance in predicting 30-day postoperative mortality, septic shock, respiratory failure, bleeding, and pneumonia was assessed using the c-statistic methodology. A total of 361 patients were included. The median age was 63 years (IQR: 51-72), 45.4% were females, and the overall mortality and morbidity were 24.1% and 51.4%, respectively. POTTER predicted mortality accurately with a c-statistic of 0.90. POTTER also accurately predicted the occurrence of individual postoperative complications, with c-statistics ranging between 0.80 and 0.89. This is the first prospective validation of the AI-enabled POTTER calculator. The superior accuracy, user-friendliness, and interpretability of POTTER make it a useful bedside tool for preoperative patient and family counseling.

Sections du résumé

BACKGROUND BACKGROUND
The POTTER calculator, a widely used interpretable artificial intelligence (AI) risk calculator, has been validated in population-based studies and shown to predict outcomes in emergency general surgery (EGS) patients better than surgeons. We sought to prospectively validate POTTER.
STUDY DESIGN METHODS
Patients undergoing an emergency exploratory laparotomy for non-trauma indications at two Academic Medical Centers between June 2020 and March 2022 were included. POTTER preoperative risk calculations and postoperative outcomes were systematically recorded. POTTER's performance in predicting 30-day postoperative mortality, septic shock, respiratory failure, bleeding, and pneumonia was assessed using the c-statistic methodology.
RESULTS RESULTS
A total of 361 patients were included. The median age was 63 years (IQR: 51-72), 45.4% were females, and the overall mortality and morbidity were 24.1% and 51.4%, respectively. POTTER predicted mortality accurately with a c-statistic of 0.90. POTTER also accurately predicted the occurrence of individual postoperative complications, with c-statistics ranging between 0.80 and 0.89.
CONCLUSION CONCLUSIONS
This is the first prospective validation of the AI-enabled POTTER calculator. The superior accuracy, user-friendliness, and interpretability of POTTER make it a useful bedside tool for preoperative patient and family counseling.

Identifiants

pubmed: 39465680
doi: 10.1097/XCS.0000000000001234
pii: 00019464-990000000-01075
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 by the American College of Surgeons. Published by Wolters Kluwer Health, Inc. All rights reserved.

Auteurs

Vahe S Panossian (VS)

Division of Trauma, Emergency Surgery, and Surgical Critical Care, Department of Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA.

Dias Argandykov (D)

Division of Trauma, Emergency Surgery, and Surgical Critical Care, Department of Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA.

Suzanne C Arnold (SC)

Division of Trauma, Emergency Surgery, and Surgical Critical Care, Department of Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA.

Anthony Gebran (A)

Division of Trauma, Emergency Surgery, and Surgical Critical Care, Department of Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA.

Charudutt N Paranjape (CN)

Division of Trauma, Emergency Surgery, and Surgical Critical Care, Department of Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA.

John O Hwabejire (JO)

Division of Trauma, Emergency Surgery, and Surgical Critical Care, Department of Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA.

Michael P DeWane (MP)

Division of Trauma, Emergency Surgery, and Surgical Critical Care, Department of Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA.

George C Velmahos (GC)

Division of Trauma, Emergency Surgery, and Surgical Critical Care, Department of Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA.

Haytham Ma Kaafarani (HM)

Division of Trauma, Emergency Surgery, and Surgical Critical Care, Department of Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA.

Classifications MeSH