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Hepatitis B and renal function: A matched study comparing non‐hepatitis B, untreated, treated and cirrhotic hepatitis patients

机译:乙型肝炎和肾功能:匹配的研究比较非乙型肝炎,未处理,治疗和肝硬化肝炎患者

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Abstract Background & Aim Renal impairment is associated with chronic hepatitis B (CHB). To overcome prior study design differences, we used propensity score matching to balance the non‐CHB and CHB cohorts and generalized linear modelling (GLM, models using probit and logit linking functions for complex models) to evaluate the effect of CHB, treatment and cirrhosis on renal function. Methods A retrospective cohort (1996‐2017) from one U.S. university medical centre. Included patients had ≥12 months of serial creatinine laboratories and a baseline estimated glomerular filtration rate (eGFR, by the Modification of Diet in Renal Disease Study equation) ≥60 mL/min/1.73 m 2 . Propensity score matching was performed using age, sex, ethnicity, diabetes, hypertension and baseline eGFR. GLM was performed to generate adjusted mean eGFR over time. Results Adjusted mean eGFR was significantly higher for non‐CHB vs. untreated CHB patients (eGFR 87.4 vs. 85.6, P = 0.004, n = 580, median follow‐up = 82 months). A significant difference in adjusted mean eGFR between untreated vs. entecavir (ETV)‐treated CHB patients (eGFR 85.1 vs. 83.5, P = 0.02, n = 340, median follow‐up = 70 months) was found among non‐cirrhotic CHB. Among treated CHB, there was no difference in adjusted mean eGFR between non‐cirrhotic vs. cirrhotic patients (eGFR 77.0 vs. 76.5; P = 0.66, n = 112, median follow‐up = 58 months). Conclusion After PSM and GLM, the significant predictors for worsening renal function were age, hypertension and diabetes mellitus but not CHB, ETV or cirrhosis. However, given small sample size, data regarding the use of ETV in patients with cirrhosis should be interpreted with caution and requires additional investigation.
机译:抽象背景& AIM肾损伤与慢性乙型肝炎(CHB)有关。为了克服先前的研究设计差异,我们使用倾向分数匹配来平衡非CHB和CHB队列和广义的线性建模(使用探测器和Logit Conning功能进行复杂模型的模型)来评估CHB,治疗和肝硬化的影响肾功能。方法从一个美国大学医疗中心进行回顾性队列(1996-2017)。包括≥12个月的连续肌酸酐实验室和基线估计的肾小球过滤速率(EGFR,通过肾病研究方程的修饰,饮食的改性)≥60mL/ min / 1.73m 2。使用年龄,性别,种族,糖尿病,高血压和基线EGFR进行倾向得分匹配。进行GLM以产生调整后的平均EGFR随着时间的推移。结果调整后的平均EGFR对于未处理的CHB患者(EGFR 87.4对85.6,P = 0.004,N = 580,中位随访= 82个月)显着更高。在非肝硬化CHB中发现了非肝硬化的非肝硬化患者(EGFR 85.1和83.5,P = 0.02,N,P = 0.02,N = 740之间的调整后的平均EGFR的显着差异。在处理过的CHB中,在非肝硬化与肝硬化患者之间的调整平均EGFR没有差异(EGFR 77.0对76.5; p = 0.66,n = 112,中值跟进= 58个月)。结论PSM和GLM后,肾功能恶化的重要预测因子是年龄,高血压和糖尿病,但不是CHB,ETV或肝硬化。然而,考虑到小样本大小,关于肝硬化患者使用ETV的数据应谨慎地解释,需要额外调查。

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  • 来源
    《Liver international :》 |2019年第4期|共12页
  • 作者单位

    Division of Gastroenterology and HepatologyStanford University Medical CenterStanford California;

    Division of Gastroenterology and HepatologyStanford University Medical CenterStanford California;

    Division of Gastroenterology and HepatologyStanford University Medical CenterStanford California;

    Division of Gastroenterology and HepatologyStanford University Medical CenterStanford California;

    Division of Gastroenterology and HepatologyStanford University Medical CenterStanford California;

    Division of Gastroenterology and HepatologyStanford University Medical CenterStanford California;

    Division of Gastroenterology and HepatologyStanford University Medical CenterStanford California;

    Division of Gastroenterology and HepatologyStanford University Medical CenterStanford California;

    Division of Gastroenterology and HepatologyStanford University Medical CenterStanford California;

    Division of Gastroenterology and HepatologyStanford University Medical CenterStanford California;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 内科学;
  • 关键词

    antiviral; CHB; eGFR; entecavir; HBV;

    机译:抗病毒;CHB;EGFR;ENTECAVIR;HBV;

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