Evaluation of a predictive model for pancreatic fistula based on amylase value in drains after pancreatic resection.
Am J Surg
; 208(4): 634-9, 2014 Oct.
Article
en En
| MEDLINE
| ID: mdl-25001423
BACKGROUND: Amylase value in drains (AVD) is a predictor of pancreatic fistula (PF). We evaluated the accuracy of an AVD-based model. METHODS: Two hundred thirty-one patients underwent pancreatoduodenectomy with pancreaticojejunostomy (PDPJ) or pancreatoduodenectomy with duct-to-mucosa (PDDTM) and distal pancreatectomy (DP). Patients with AVD greater than 5,000 U/L on postoperative day (POD) 1 underwent AVD measurement on POD5. RESULTS: Sensitivity and specificity of POD1 AVD greater than 5,000 in predicting PF were 71% and 90%, respectively. The sensitivity and specificity of POD5 AVD greater than 200 were 90% and 83%, respectively. AVD greater than 1,000 (for PDPJ) and 2,000 U/L (PDDTM and DP) represented the most accurate cutoffs on POD1. AVD greater than 200 (PDPJ), 300 (PDDTM), and 50 U/L (DP) represented the cutoffs with the highest sensitivity in predicting PF on POD5. CONCLUSION: AVD-based model for predicting PF after pancreatic resection is an accurate tool, although AVD cutoffs should be evaluated for each type of operation.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Pancreatectomía
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Neoplasias Pancreáticas
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Complicaciones Posoperatorias
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Drenaje
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Fístula Pancreática
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Amilasas
Tipo de estudio:
Etiology_studies
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Observational_studies
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Prognostic_studies
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Risk_factors_studies
Límite:
Aged
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Revista:
Am J Surg
Año:
2014
Tipo del documento:
Article
País de afiliación:
Italia
Pais de publicación:
Estados Unidos