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Logistic regression and discriminant analyses of hepatic failure after liver resection for carcinoma of the biliary tract

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Abstract

Stepwise logistic and discriminant analyses were used to define the risk factors for hepatic failure after liver resection for carcinoma of the biliary tract and to predict this complication. The logistic analysis identified the linear pattern of oral glucose tolerance test, cholangitis, pancreatoduodenectomy, and indocyanine green disappearance rate as the factors most related to hepatic failure among 18 pre- and perioperative parameters of the past 84 hepatectomized cases (55 hilar bile duct carcinomas and 29 gallbladder carcinomas). Our discriminant formula using five variables, including the above-mentioned four plus the liver resection rate, could distinguish the patients with posthepatectomy liver failure (n=25) from those without (n=59) with 86.9% accuracy, 96.0% sensitivity, and 83.1% specificity. The cross-validation test has confirmed that this model was robust for discriminant analysis. The results of this study show that statistical multifactorial analysis makes possible the preoperative prediction of hepatic failure after liver resection for carcinoma of the biliary tract.

Résumé

A l'aide, d'une part, d'une analyse de régression pas-à-pas et d'autre part, d'une analyse discriminante, on a pu définir les facteurs de risque d'insuffisance hépatique après résection hépatique pour cancer des voies biliaires. Basé sur 84 cas d'hépatectomie pour 55 cancers du hile et 29 cancers de la vésicule biliaire, parmi les 18 paramètres pré-et périopératoires disponibles, l'analyse logistique a pu distinquer comme facteurs prédictifs d'insuffisance hépatique, la pente linéaire du test de tolérance du glucose, l'angiocholite, la duodénopancréatectomie céphalique et le taux de clairance du vert d'Indocyanine. La formule discriminante, utilisant cinq variables, y compris quatre des paramètres ci-dessus, plus le taux de résectabilité, permettait de distinguer les patients ayant fait une insuffisance hépatique (n=25) de ceux qui n'en ont pas fait (n=59) avec une précision de 86.9%, une sensibilité de 96.0, et une spécificité de 83.1%. Une validation croisée a permis de confirmer que ce modèle était robuste dans l'analyse discriminante. Les résultats de cette étude démontrent que l'analyse multifactorielle peut prédire la survenue d'insuffisance hépatique postopératoire après résection pour cancer des voies biliaires.

Resumen

Se efectuaron análisis estadísticos para définir los factures de riego de falla hepática luego de resección del hígado por carcinoma del tracto biliar, y para predecir tal complicación. El análisis logístico logró identificar el patrón linear de la prueba oral de tolerancia a la glucosa, la colangitis, la pancreatoduodenectomía y la tasa de desaparicion del verde indocianino, como los factores mas relacionados con falla hepática entre 18 paramétras pre y perioperatorios en los pasados 84 casos hepatectomizados (55 carcinomas del canal biliar y 29 carcinomas de la vesícula biliar). Nuestra fórmula utilizando cinco variables, incluso los anteriores cuatro, y una variable de tasa de reseccíon hepática, logró diferenciar los pacientes con falla posthepatectomía (n=25) de aquellos sin falla (n = 59), con una certeza de 86.9%, sensibilidad de 96.0% y especificidad de 83.1%. La prueba de validación cruzada comprobo la capacidad de este modelo para el análisis discriminatorio.

Los resultados del estudio demuestran que el análisis estadístico multifactorial hace posible la predicción preoperatoria de la falla hepática después una resección hepática por carcinoma de la vía biliar.

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Nagino, M., Nimura, Y., Hayakawa, N. et al. Logistic regression and discriminant analyses of hepatic failure after liver resection for carcinoma of the biliary tract. World J. Surg. 17, 250–255 (1993). https://doi.org/10.1007/BF01658937

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