Methicillin-resistant Staphylococcus aureus suppurative thyroiditis with thyrotoxicosis.
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Biomedical subjects
Richard Garcia-Kennedy
Publications and source records attributed to Richard Garcia-Kennedy.
Rate of natural disease progression in patients with chronic hepatitis C.
BACKGROUND/AIMS: The interval at which liver biopsy should be repeated in untreated patients with chronic hepatitis C is not defined. We examined fibrosis change by METAVIR scoring in these patients in whom two or more liver biopsies were available. METHODS: One hundred and eighty patients with histologically proven chronic hepatitis C were studied. Mean delay between biopsies was 3.67+/-2.69 years and 3.08+/-1.43 in the 16 patients having three biopsies. Univariate and multivariate analyses were performed to determine factors associated with liver fibrosis progression. RESULTS: Median rate of fibrosis progression per year was 0.04 (0.00-0.55) to first biopsy, 0.00 (-0.84-1.02) between first and second biopsy (NS), and 0.17 (0.00-1.50) between second and third biopsy (P<0.05). In multivariate analysis, only age at first biopsy >40 years (OR=5) (2-12) and alcohol consumption of 1-50 g per day (OR=4) (2-12) and more than 50 g per day (OR=8) (3-23) were associated with severe fibrosis. The number of patients who increased in fibrosis stage was significantly higher after 4 years (P<0.02). CONCLUSIONS: An interval of at least 4-5 years is needed between liver biopsies to measure change in patients with mild liver disease.
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De novo non-alcoholic fatty liver disease following orthotopic liver transplantation.
Non-alcoholic fatty liver disease (NAFLD) is an increasingly recognized clinico-pathologic entity typically associated with obesity, type II diabetes and hyperlipidemia. It has been noted to recur after orthotopic liver transplantation (OLT). We report four patients who developed de novo NAFLD within 3 months of OLT without the typical predisposing factors of diabetes mellitus or obesity. Three of the four patients underwent OLT for hepatitis C-related cirrhosis, and the other for alcoholic cirrhosis. Examination of the liver explants revealed no evidence of steatosis. No surreptitious alcohol use or a drug-induced process could be identified in these patients. Treatment of recurrent hepatitis C infection in one patient with interferon and ribavirin led to sustained suppression of the viral RNA to undetectable levels, but no improvement in histology or liver enzymes. All four patients had histologic evidence of preservation injury on the initial post-OLT biopsies, but the significance of this finding in relationship to the development of NAFLD is unknown. NAFLD can develop without any of the known predisposing conditions after transplantation, and this raises further questions about the pathogenesis of this condition.
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A model to predict severe HCV-related disease following liver transplantation.
Post-transplantation recurrence is increasing in patients with HCV. Early antiviral therapy may be of benefit in this setting. Thus, accurate and early prediction of progression may help select candidates for treatment. We developed a model based on pre- and/or early post-transplantation variables, which may predict progression to severe disease. Clinical and histologic outcomes were assessed in 554 liver recipients. A total of 1,353 biopsy specimens obtained after 1 year (median of 2 biopsies per patient; range, 1-8) were scored. Two outcome measures were used: cumulative probability of developing severe disease (fibrosis 3 and 4) within 5 years and actual progression to severe disease in 2 years. We used Cox proportional hazard survival analysis for the whole cohort. Predictors analyzed included HCV genotype and recipient, donor, and transplant-related variables. The cumulative risk of progressing to fibrosis 3 and 4 was significantly greater in patients transplanted recently (P <.001) and was present in all centers. Factors increasing this risk were genotype, induction with mycophenolate, donor age, short course of azathioprine, and prednisone (<12 months). To create a model of prediction, 285 patients with 2-year follow-up were used to create a logistic regression analysis. The estimated probability of being at high risk for severe disease was calculated from a formula that included donor age and recipient therapy as critical variables. In conclusion, we have developed a model that uses early post-transplantation variables to predict severe HCV recurrence. Accuracy of the model is not perfect (c-statistic 0.80), probably reflecting the complexity of HCV in the liver transplant setting.
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