OBJECTIVES: This study compares the characteristics of treated and non-treated patients with Hepatitis C (HCV) infection. METHODS: Information on patient demographics, clinical data, and treatment regimens were collected from a retrospective medical record review of 998 patients diagnosed with HCV, representing a diverse geographic sample of 200 U.S. physicians including 130 gastroenterologists, 50 infectious disease physicians, and 20 hepatologists. A total of 551 patients were randomly selected and 447 were provided as an augmented sample in an intent-to-treat analysis based on treatment decisions. Pretreatment factors examined included age, gender, race, weight, HCV genotype, HCV viral load, serum ALT levels, liver biopsy results, cirrhosis, HIV co-infection, HBV co-infection, IV drug use, and insurance status. Univariate analyses were performed using Chi-squared or ANOVA tests. Factors that were significant in univariate analyses were entered into a multivariate logistic regression model with HCV treatment as the outcome variable. RESULTS: Of the 998 patients reviewed, 778 were treated for HCV and 220 were not treated. In univariate analyses, non-treated patients were more likely to be African American, HBV co-infected, HIV co-infected, IDUs, alcoholics, Medicaid insured, and were less likely to have had biopsies. The multivariate regression analysis demonstrated that performance of a liver biopsy, treatment with psychiatric medications (antidepressants and anxiolytics), and patient weight were independently associated with treatment, while Medicaid insurance and HIV co-infection were independently associated with a decreased likelihood of receiving HCV therapy. CONCLUSION: This study suggests that it is not the clinical stage of HCV infection but the patient's demographic characteristics and co-morbid conditions that impact the decision to initiate HCV therapy. Copyright 2005 John Wiley & Sons, Ltd.
OBJECTIVES: This study compares the characteristics of treated and non-treated patients with Hepatitis C (HCV) infection. METHODS: Information on patient demographics, clinical data, and treatment regimens were collected from a retrospective medical record review of 998 patients diagnosed with HCV, representing a diverse geographic sample of 200 U.S. physicians including 130 gastroenterologists, 50 infectious disease physicians, and 20 hepatologists. A total of 551 patients were randomly selected and 447 were provided as an augmented sample in an intent-to-treat analysis based on treatment decisions. Pretreatment factors examined included age, gender, race, weight, HCV genotype, HCV viral load, serum ALT levels, liver biopsy results, cirrhosis, HIV co-infection, HBV co-infection, IV drug use, and insurance status. Univariate analyses were performed using Chi-squared or ANOVA tests. Factors that were significant in univariate analyses were entered into a multivariate logistic regression model with HCV treatment as the outcome variable. RESULTS: Of the 998 patients reviewed, 778 were treated for HCV and 220 were not treated. In univariate analyses, non-treated patients were more likely to be African American, HBV co-infected, HIV co-infected, IDUs, alcoholics, Medicaid insured, and were less likely to have had biopsies. The multivariate regression analysis demonstrated that performance of a liver biopsy, treatment with psychiatric medications (antidepressants and anxiolytics), and patient weight were independently associated with treatment, while Medicaid insurance and HIV co-infection were independently associated with a decreased likelihood of receiving HCV therapy. CONCLUSION: This study suggests that it is not the clinical stage of HCV infection but the patient's demographic characteristics and co-morbid conditions that impact the decision to initiate HCV therapy. Copyright 2005 John Wiley & Sons, Ltd.
Authors: Mei Lu; Jia Li; Loralee B Rupp; Yueren Zhou; Scott D Holmberg; Anne C Moorman; Philip R Spradling; Eyasu H Teshale; Joseph A Boscarino; Yihe G Daida; Mark A Schmidt; Sheri Trudeau; Stuart C Gordon Journal: Liver Int Date: 2017-07-21 Impact factor: 5.828
Authors: Stuart C Gordon; Sheri Trudeau; Jia Li; Yueren Zhou; Loralee B Rupp; Scott D Holmberg; Anne C Moorman; Philip R Spradling; Eyasu H Teshale; Joseph A Boscarino; Yihe G Daida; Mark A Schmidt; Mei Lu Journal: J Clin Gastroenterol Date: 2019-01 Impact factor: 3.062
Authors: Claus Niederau; Dietrich Hüppe; Elmar Zehnter; Bernd Möller; Renate Heyne; Stefan Christensen; Rainer Pfaff; Arno Theilmeier; Ulrich Alshuth; Stefan Mauss Journal: World J Gastroenterol Date: 2012-03-28 Impact factor: 5.742
Authors: Shari S Rogal; Robert M Arnold; Michael Chapko; Barbara V Hanusa; Ada Youk; Galen E Switzer; Mary Ann Sevick; Nichole K Bayliss; Carolyn L Zook; Alexis Chidi; David S Obrosky; Susan L Zickmund Journal: PLoS One Date: 2016-02-22 Impact factor: 3.240