Random effect model for identifying related factors to virological response in HCV patients.
OBJECTIVE
This study aims to employ random effect model to evaluate prognostic factors of hepatitis C.


BACKGROUND
In recent years, Hepatitis C virus (HCV) infection has been a major cause of liver diseases worldwide and represents a major public health problem. Evaluation of risk factors and a community intervention in order to decrease the problem is one of the solutions which help protect people from the infection.


METHODS
The data was collected from a longitudinal study during 2005-2010. The response variable in this study was the viral load of each HCV patient during the treatment, immediately after the treatment and 3 to 4 months after the end of the treatment. The outcome variable of interest is the viral load of HCV patients. For analyzing repeated measure viral load of HCV patients, random effect models were used.


RESULTS
The results obtained from random effect model showed that treatment protocol and time statistically significant. The variance component was statistically differing with zero.


CONCLUSIONS
According to the results time had a positive effect on rate of viral load of patient. Combination therapy of Peg-interferon plus Ribavirin increased the rate of virological response.
Proteomics Research Center, School of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Farid
F
Zayeri
Department of Biostatistics, School of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Samira
S
Chaibakhsh
Department of Biostatistics, School of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Asma
A
Pourhoseingholi
Department of Basic Sciences, School of Rehabilitation, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Alireza Akbarzadeh
AA
Baghban
Baqiyatallah Research Center for Gastroenterology and Liver Diseases, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Seyed Moayed
SM
Alavian
HCV; Longitudinal data; Random effect; Viral load