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Clin Invest Med ; 30(2): E93-102, 2007.
Artigo em Inglês | MEDLINE | ID: mdl-17716547

RESUMO

PURPOSE: To estimate the incidence, severity, duration and consequences of bleeding during critical illness, and to test the performance characteristics of a new bleeding assessment tool. METHODS: Clinical bleeding assessments were performed prospectively on 100 consecutive patients admitted to a medical-surgical intensive care unit (ICU) using a novel bleeding measurement tool called HEmorrhage MEasurement (HEME). Bleeding assessments were done daily in duplicate and independently by blinded, trained assessors. Inter-rater agreement and construct validity of the HEME tool were calculated using phi. Risk factors for major bleeding were identified using a multivariable Cox proportional hazards model. RESULTS: Overall, 90% of patients experienced a total of 480 bleeds of which 94.8% were minor and 5.2% were major. Inter-rater reliability of the HEME tool was excellent (phi = 0.98, 95% CI: 0.96 to 0.99). A decrease in platelet count and a prolongation of partial thromboplastin time were independent risk factors for major bleeding but neither were renal failure nor prophylactic anticoagulation. Patients with major bleeding received more blood transfusions and had longer ICU stays compared to patients with minor or no bleeding. CONCLUSIONS: Bleeding, although primarily minor, occurred in the majority of ICU patients. One of five patients experienced a major bleed which was associated with abnormal coagulation tests but not with prophylactic anticoagulants. These baseline bleeding rates can inform the design of future clinical trials in critical care that use bleeding as an outcome and HEME is a useful tool to measure bleeding in critically ill patients.


Assuntos
Estado Terminal , Coleta de Dados/métodos , Hemorragia/diagnóstico , Idoso , Idoso de 80 Anos ou mais , Estudos de Coortes , Coleta de Dados/estatística & dados numéricos , Feminino , Hemorragia/etiologia , Hemorragia/patologia , Humanos , Unidades de Terapia Intensiva/estatística & dados numéricos , Masculino , Pessoa de Meia-Idade , Modelos de Riscos Proporcionais , Estudos Prospectivos , Reprodutibilidade dos Testes , Fatores de Risco , Índice de Gravidade de Doença
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