Hepatology research : the official journal of the Japan Society of Hepatology · 2012
Fibrosis score consisting of four serum markers successfully predicts pathological fibrotic stages of chronic hepatitis B.
СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Ikeda Kenji, Izumi Namiki, Tanaka Eiji, Yotsuyanagi Hiroshi, Takahashi Yoshihisa, Fukushima Junichi, Kondo Fukuo, Fukusato Toshio, Koike Kazuhiko, Hayashi Norio, Kumada Hiromitsu
Аннотация
AIM: In order to evaluate and judge a fibrotic stage of patients with chronic hepatitis B, multivariate regression analysis was performed using multiple fibrosis markers.
METHOD: A total of 227 patients from seven hepatology units and institutes were diagnosed by needle biopsy as having chronic liver disease caused by hepatitis B virus. Twenty-three variables and their natural logarithmic transformation were employed in the multivariate analysis. Multiple regression function was generated from data of 158 patients in one hospital, and validation was performed using the other data of 69 patients from six other hospitals.
RESULTS: After stepwise variable selection, multivariate regression analysis finally obtained the following function: z = 1.40 × ln (type IV collagen 7S) (ng/mL) - 0.017 × (platelet count) (×1000(3) /mm(3) ) + 1.24 × ln (tissue inhibitor of matrix metalloproteinase-2) (ng/mL) + 1.19 × ln (α-2-macroglobulin) (mg/dL) - 9.15. Median values of fibrosis scores of F1 (n = 73), F2 (n = 42), F3 (n = 31) and F4 stages (n = 12) were calculated as 0.95, 2.07, 2.98 and 3.63, respectively. Multiple regression coefficient and coefficient of determination were 0.646 and 0.418, respectively. Validation with patient data from other institutions demonstrated good reproducibility of fibrosis score for hepatitis B (FSB), showing 1.33 in F1 (n = 27), 2.20 in F2 (n = 20), 3.11 in F3 (n = 20) and 5.30 in F4 (n = 2), respectively.
CONCLUSION: A concise multiple regression function using four laboratory parameters successfully predicted pathological fibrosis stage of patients with hepatitis B virus infection.
METHOD: A total of 227 patients from seven hepatology units and institutes were diagnosed by needle biopsy as having chronic liver disease caused by hepatitis B virus. Twenty-three variables and their natural logarithmic transformation were employed in the multivariate analysis. Multiple regression function was generated from data of 158 patients in one hospital, and validation was performed using the other data of 69 patients from six other hospitals.
RESULTS: After stepwise variable selection, multivariate regression analysis finally obtained the following function: z = 1.40 × ln (type IV collagen 7S) (ng/mL) - 0.017 × (platelet count) (×1000(3) /mm(3) ) + 1.24 × ln (tissue inhibitor of matrix metalloproteinase-2) (ng/mL) + 1.19 × ln (α-2-macroglobulin) (mg/dL) - 9.15. Median values of fibrosis scores of F1 (n = 73), F2 (n = 42), F3 (n = 31) and F4 stages (n = 12) were calculated as 0.95, 2.07, 2.98 and 3.63, respectively. Multiple regression coefficient and coefficient of determination were 0.646 and 0.418, respectively. Validation with patient data from other institutions demonstrated good reproducibility of fibrosis score for hepatitis B (FSB), showing 1.33 in F1 (n = 27), 2.20 in F2 (n = 20), 3.11 in F3 (n = 20) and 5.30 in F4 (n = 2), respectively.
CONCLUSION: A concise multiple regression function using four laboratory parameters successfully predicted pathological fibrosis stage of patients with hepatitis B virus infection.