Aplicación de una calculadora de riesgo quirúrgico en una cohorte de pacientes de cirugía hepática en Veracruz, México

Martínez-Mier, Gustavo; Esquivel-Torres, S.; Alvarado-Arenas, Rubén; Moreno-Ley, Pedro Iván; Lajud-Barquín, F.A.

doi:10.24875/ciru.20001256

Cited by 1 publication

(2 citation statements)

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“…Previous studies have investigated the use of the online ACS NSQIP risk calculator for morbidity and mortality in patients undergoing hepatic and extrahepatic surgery. [7][8][9] These studies have demonstrated adequate performance of the model; however, further modifications were required to more accurately estimate outcomes. The online risk calculator used in these studies included several of the comorbidities analyzed in our model approach; however, what was unique to the current study was the utilization of pertinent preoperative laboratory values and a model that reduced the number of needed independent variables for prediction to 9.…”

Section: Discussionmentioning

confidence: 99%

“…6 Previous studies have investigated the use of the online ACS NSQIP risk calculator for morbidity and mortality in patients undergoing hepatic and extrahepatic surgery. [7][8][9] These studies have demonstrated adequate performance of the model; however, further modifications were required to more accurately estimate outcomes. The objective of the current study was to develop a score-based risk calculator using a limited number of predictors to estimate mortality risk in patients undergoing hepatectomy.…”

Section: Anesthesia and Analgesiamentioning

confidence: 99%

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A Point-Based Risk Calculator for Mortality After Hepatectomy

Luu

Curran

Macias

et al. 2023

Anesthesia &Amp; Analgesia

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BACKGROUND: Preoperative risk stratification for hepatectomy patients can aid clinical decision making. The objective of this retrospective cohort study was to determine postoperative mortality risk factors and develop a score-based risk calculator using a limited number of preoperative predictors to estimate mortality risk in patients undergoing hepatectomy. METHODS: Data were collected from patients that underwent hepatectomy from the National Surgical Quality Improvement Program dataset from 2014 to 2020. Baseline characteristics were compared between survival and 30-day mortality cohorts using the χ2 test. Next, the data were split into a training set to build the model and a test set to validate the model. A multivariable logistic regression model modeling 30-day postoperative mortality was trained on the training set using all available features. Next, a risk calculator using preoperative features was developed for 30-day mortality. The results of this model were converted into a score-based risk calculator. A point-based risk calculator was developed that predicted 30-day postoperative mortality in patients who underwent hepatectomy surgery. RESULTS: The final dataset included 38,561 patients who underwent hepatectomy. The data were then split into a training set from 2014 to 2018 (n = 26,397) and test set from 2019 to 2020 (n = 12,164). Nine independent variables associated with postoperative mortality were identified and included age, diabetes, sex, sodium, albumin, bilirubin, serum glutamic-oxaloacetic transaminase (SGOT), international normalized ratio, and American Society of Anesthesiologists classification score. Each of these features were then assigned points for a risk calculator based on their odds ratio. A univariate logistic regression model using total points as independent variables were trained on the training set and then validated on the test set. The area under the receiver operating characteristics curve on the test set was 0.719 (95% confidence interval, 0.681–0.757). CONCLUSIONS: Development of risk calculators may potentially allow surgical and anesthesia providers to provide a more transparent plan to support patients planned for hepatectomy.

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Section: Discussionmentioning

confidence: 99%

Section: Anesthesia and Analgesiamentioning

confidence: 99%