Department of Health and Human Services, Liver Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892-1800, USA.
Gastroenterology. 2010 Jan;138(1):136-46. doi: 10.1053/j.gastro.2009.09.007. Epub 2009 Sep 18.
BACKGROUND & AIMS: Predictors of clinical outcomes and histologic progression among patients with chronic hepatitis C and advanced fibrosis are poorly defined. We developed statistical models to predict clinical and histologic outcomes in such patients.
Baseline demographic, clinical, and histologic data from Hepatitis C Antiviral Long-Term Treatment Against Cirrhosis (HALT-C) Trial participants were subjected to multivariate analyses to determine their ability to predict clinical outcomes (ascites, spontaneous bacterial peritonitis, Child-Turcotte-Pugh score >or=7 on 2 consecutive visits, variceal bleeding, hepatic encephalopathy, and liver-related death) and histologic outcome (>or=2-point increase in Ishak fibrosis stage) during the 3.5 years of the trial.
Of 1050 randomized patients, 135 had 1 or more clinical outcomes a median of 23 (range, 1-45) months after randomization. Factors associated with a clinical outcome in multivariate analyses were higher aspartate aminotransferase/alanine aminotransferase ratio, lower albumin, lower platelet count, higher total bilirubin, and more advanced Ishak fibrosis score (P < .0001). The cumulative 3.5-year incidence of a clinical outcome was 2% in the lowest and 65% in the highest risk group. Of 547 patients without cirrhosis at baseline and at least 1 follow-up biopsy, 152 had a histologic outcome. Independent variables associated with a histologic outcome were higher body mass index, lower platelet count, and greater hepatic steatosis (P < .0001).
In patients with chronic hepatitis C and advanced fibrosis, risk of clinical complications and fibrosis progression during 3.5 years can be predicted using baseline laboratory tests and histologic data. Our models may be useful in counseling patients and determining the frequency of monitoring.
慢性丙型肝炎合并晚期纤维化患者的临床结局和组织学进展预测因素尚未明确。本研究旨在建立统计模型,以预测此类患者的临床和组织学结局。
对 HCV 抗病毒长期治疗肝纤维化(HALT-C)试验参与者的基线人口统计学、临床和组织学数据进行多变量分析,以确定其预测临床结局(腹水、自发性细菌性腹膜炎、2 次连续就诊时 Child-Turcotte-Pugh 评分≥7、静脉曲张出血、肝性脑病和与肝脏相关的死亡)和组织学结局(Ishak 纤维化分期增加≥2 分)的能力。该研究共进行 3.5 年。
在 1050 例随机患者中,135 例患者在随机分组后中位时间 23(范围,1-45)个月出现 1 次或多次临床结局。多变量分析显示,与临床结局相关的因素包括较高的天门冬氨酸氨基转移酶/丙氨酸氨基转移酶比值、较低的白蛋白、较低的血小板计数、较高的总胆红素和更严重的 Ishak 纤维化评分(P<0.0001)。最低风险组(3.5 年累积发生率为 2%)和最高风险组(65%)的 3.5 年临床结局发生率存在差异。在基线和至少 1 次随访时均无肝硬化的 547 例患者中,152 例患者出现组织学结局。与组织学结局相关的独立变量包括较高的体重指数、较低的血小板计数和更严重的肝脂肪变性(P<0.0001)。
在慢性丙型肝炎合并晚期纤维化患者中,使用基线实验室检查和组织学数据可预测 3.5 年内的临床并发症和纤维化进展风险。本研究的模型可能有助于为患者提供咨询和确定监测频率。