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Inadequate prediction of postoperative complications in breast cancer surgery: An evaluation of the ACS Surgical Risk Calculator
Author(s) -
GonzalezWoge Miguel A.,
MartinTellez Karla S.,
GonzalezWoge Ricardo,
TeranDelaSancha Kevin,
RosaAbaroa Marco,
GarciaCardenas Francisco J.,
MunguiaGarza Paulina,
CervantesDelgado Paloma,
GarciaTapia Prandiz Luis R.,
MangwaniMordani Simran,
EsparzaArias Nereida,
BargalloRocha Juan E.
Publication year - 2021
Publication title -
journal of surgical oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.201
H-Index - 111
eISSN - 1096-9098
pISSN - 0022-4790
DOI - 10.1002/jso.26529
Subject(s) - calculator , medicine , complication , surgery , breast cancer , breast surgery , surgical complication , cohort , general surgery , cancer , computer science , operating system
Background The American College of Surgeon (ACS) Surgical Risk Calculator is an online tool that helps surgeons estimate the risk of postoperative complications for numerous surgical procedures across several surgical specialties. Methods We evaluated the predictive performance of the calculator in 385 cancer patients undergoing breast surgery. Calculator‐predicted complication rates were compared with observed complication rates; calculator performance was evaluated using calibration and discrimination analyses. Results The mean calculator‐predicted rates for any complication (4.1%) and serious complication (3.2%) were significantly lower than the observed rates (11.2% and 5.2%, respectively). The area under the curve was 0.617 for any complication and 0.682 for serious complications. p Values for the Hosmer–Lemeshow test were significant (<.05) for both outcomes. Brier scores were 0.102 for any complication and 0.048 for serious complication. Conclusions The ACS risk calculator is not an ideal tool for predicting individual risk of complications following breast surgery in a Mexican cohort. The most valuable use of the calculator may reside in its role as an aid for patient‐led surgery planning. The possibility of introducing breast surgery‐specific data could improve the performance of the calculator. Furthermore, a disease‐specific calculator could provide more accurate predictions and include complications more frequently found in breast cancer surgery.