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1.
Med Arch ; 74(4): 270-274, 2020 Aug.
Artículo en Inglés | MEDLINE | ID: mdl-33041443

RESUMEN

INTRODUCTION: Upper gastrointestinal bleeding can be a life-threatening condition and requires careful evaluation from the very first episode in order to reduce the risk of rebleeding, hemorrhagic shock and death. The outcome of a patient with upper gastrointestinal bleeding depends on resuscitation measures taken during admission to the hospital and an adequate assessment of the patient's risk level. AIM: The aim of the study is to compare Glasgow Blatchford score and Rockall score and to identify the most accurate score used in predicting unfavorable outcomes and the need for intervention. METHODS: This study involves 237 patients with upper gastrointestinal bleeding. The accuracy of the scoring systems was assessed by plotting receiver-operating characteristic curves (ROC curves) and was calculated for GBS and RS with 95% confidence interval (CI). RESULTS: As for mortality prediction, RS was superior to GBS (AUC 0.806 vs. 0.750). The GBS had a higher accuracy in detecting patients who needed transfusion units and was superior to the RS (AUC 0.810 vs.0.675). In predicting the need for intervention, RS was superior to GBS (AUC 0.707 vs. 0.636. CONCLUSION: GBS and RS are developed to help clinicians to triage patients appropriately in order to assess endoscopic therapy within a suitable time frame, as well as identify low risk patients for possible outpatient management. High accuracy of the GBS in predicting a need for transfusion represents an important endpoint to assess. RS was superior to GBS in predicting a need for intervention as well as mortality. Currently, a combination of these scoring systems is the best way for proper assessment.


Asunto(s)
Hemorragia Gastrointestinal/diagnóstico , Medición de Riesgo/métodos , Adulto , Anciano , Anciano de 80 o más Años , Bosnia y Herzegovina/epidemiología , Hemorragia Gastrointestinal/mortalidad , Mortalidad Hospitalaria/tendencias , Hospitalización/tendencias , Humanos , Persona de Mediana Edad , Pronóstico , Curva ROC , Índice de Severidad de la Enfermedad , Adulto Joven
2.
J Hepatol ; 44(4): 723-31, 2006 Apr.
Artículo en Inglés | MEDLINE | ID: mdl-16488051

RESUMEN

BACKGROUND/AIMS: The Barcelona Clinic Liver Cancer (BCLC) classification offers a prognostic stratification of patients with hepatocellular carcinoma (HCC). We recently demonstrated the BCLC's peculiar prognostic ability in a retrospective cohort of HCC patients. The aim of this study was to evaluate the BCLC system prospectively in a subsequent separate group of HCC patients enrolled at the same surgically oriented liver unit. METHODS: One hundred and ninety-five consecutive HCC patients were prospectively enrolled and their liver disease was staged before therapy. Unlike the BCLC treatment protocol, nodule size and number were not used as absolute exclusion criteria for radical treatment. Predictors of survival were identified using the Cox model. RESULTS: The median survival time was 23 months overall, and 53, 16, 7 and 3 months, respectively, for BCLC categories A, B, C, and D. In our cohort, BCLC had the best independent predictive power for survival when compared with the Okuda, CLIP, UNOS-TNM, and JIS prognostic systems (linear trend chi(2)=43.01, likelihood chi(2)=57.94, AIC 885.98). Moreover, the BCLC classification showed a better prognostic ability than the AJCC-TNM 2002 system in surgical patients. CONCLUSIONS: The discriminating power of BCLC staging was prospectively assessed in an Italian cohort of HCC patients treated mainly with radical therapies.


Asunto(s)
Carcinoma Hepatocelular/patología , Neoplasias Hepáticas/patología , Estadificación de Neoplasias/métodos , Adulto , Anciano , Anciano de 80 o más Años , Carcinoma Hepatocelular/mortalidad , Carcinoma Hepatocelular/terapia , Femenino , Humanos , Neoplasias Hepáticas/mortalidad , Neoplasias Hepáticas/terapia , Metástasis Linfática/patología , Masculino , Persona de Mediana Edad , Análisis Multivariante , Valor Predictivo de las Pruebas , Pronóstico , Modelos de Riesgos Proporcionales , Estudios Prospectivos , Estudios Retrospectivos , Análisis de Supervivencia , Factores de Tiempo , Carga Tumoral
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