Leeds Liver Unit, St James's University Hospital, Leeds, United Kingdom.
Department of Gastroenterology and Hepatology, University Hospital Marques de Valdecilla, Valdecilla Research Institute, Santander, Spain; Liver Center, Departments of Medicine and Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Clin Gastroenterol Hepatol. 2022 Feb;20(2):e289-e297. doi: 10.1016/j.cgh.2021.01.042. Epub 2021 Jan 28.
Alcoholic hepatitis (AH) is a severe condition with poor short-term prognosis. Specific treatment with corticosteroids slightly improves short-term survival but is associated with infection and is not used in many centers. A reliable method to identify patients who will recover spontaneously will minimise the numbers of patients who experience side effects of available treatments.
We analysed the trajectory of serum bilirubin concentration over the course of hospital admissions in patients with AH to predict spontaneous survival and the need for treatment.
data from 426 patients were analysed. Based on bilirubin trajectory, patients were categorized into three groups: 'fast fallers' (bilirubin <0.8 x admission value at day 7), 'static' (bilirubin of >0.9 - <1.2 x admission value) and 'rapid risers' (bilirubin of ≥1.2 x admission bilirubin). Fast fallers had significantly better 90-day survival compared to other groups (log rank p < .001), and showed no benefit of corticosteroid therapy (OR for survival at 28 days of treatment, 0.94, 95% CI 0.06 - 8.41). These findings remained even amongst patients with severe disease based on initial DF, GAHS or MELD scores.
We present an intuitive method of classifying patients with AH based on the trajectory of bilirubin over the first week of admission. It is complimentary to existing scores that identify candidates for corticosteroid treatment or assess response to treatment. This method identifies a group of patients with AH who recover spontaneously and can avoid corticosteroid therapy.
酒精性肝炎(AH)是一种预后不良的严重疾病。皮质类固醇的特效治疗虽能略微改善短期存活率,但会引发感染,且在许多中心并未应用。一种可靠的方法来识别能够自发恢复的患者,将最大限度地减少经历现有治疗副作用的患者数量。
我们分析了 AH 患者住院期间血清胆红素浓度的变化轨迹,以预测自发存活率和治疗需求。
分析了 426 例患者的数据。根据胆红素轨迹,患者分为三组:“快速下降者”(胆红素在第 7 天<入院值的 0.8 倍)、“稳定者”(胆红素>0.9-<1.2 倍入院值)和“快速上升者”(胆红素≥1.2 倍入院胆红素)。快速下降者的 90 天存活率明显优于其他组(对数秩检验,p<0.001),且皮质类固醇治疗无获益(治疗 28 天的生存优势比,0.94,95%CI 0.06-8.41)。即使根据初始 DF、GAHS 或 MELD 评分,患者存在严重疾病,这些发现仍然存在。
我们提出了一种基于入院后第一周胆红素变化轨迹对 AH 患者进行分类的直观方法。它与现有的识别皮质类固醇治疗候选者或评估治疗反应的评分方法相辅相成。该方法可识别出一组能够自发恢复的 AH 患者,并避免皮质类固醇治疗。