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Dis Colon Rectum ; 49(3): 330-5, 2006 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-16421662

RESUMO

PURPOSE: POSSUM (Physiologic and Operative Severity Score for enUmeration of Morbidity & Mortality) and P-POSSUM have been validated as scoring tools for the prediction of postoperative complications in general surgical patients. More recently a colorectal-specific POSSUM has been developed for mortality prediction. This study was designed to evaluate and compare the accuracy for mortality prediction of POSSUM, P-POSSUM, and colorectal POSSUM after major and complex major colorectal procedures. METHODS: The relationship between the observed and expected morbidity and mortality was examined in 347 consecutive patients (321 elective, 26 urgent) undergoing a major or complex major colorectal resection using POSSUM, P-POSSUM, and Colorectal POSSUM. The accuracy of using these scoring tools to predict mortality was assessed using Receiver Operator Characteristic curve analysis. RESULTS: A total of 347 consecutive patients (median age, 69 (range, 34-92) years) were assessed. Seventy-one patients (20.5 percent) suffered a postoperative complication and 15 patients (4.3 percent) died. The observed: expected POSSUM ratio for morbidity was 0.71 and mortality 0.68. The area under curve from Receiver Operator Characteristic curve analysis for POSSUM was 0.752. The observed:expected mortality ratio for P-POSSUM was 0.71, and the area under curve from Receiver Operator Characteristic curve analysis was 0.749. The observed:expected mortality ratio for colorectal POSSUM was 0.75, and the area under the curve from Receiver Operator Characteristic curve analysis was 0.781. CONCLUSIONS: Colorectal POSSUM provides comparable prediction of mortality risk after colorectal resection compared with POSSUM and P-POSSUM.


Assuntos
Neoplasias Colorretais/mortalidade , Neoplasias Colorretais/cirurgia , Complicações Pós-Operatórias/epidemiologia , Índice de Gravidade de Doença , Adulto , Idoso , Idoso de 80 Anos ou mais , Neoplasias Colorretais/patologia , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Curva ROC , Medição de Risco/métodos , Reino Unido/epidemiologia
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