Bradbury Brian D, Wang Ouhong, Critchlow Cathy W, Rothman Kenneth J, Heagerty Patrick, Keen Marcia, Acquavella John F
Department of Biostatistics & Epidemiology, Amgen Inc, Thousand Oaks, CA 91320, USA.
Am J Kidney Dis. 2008 Jan;51(1):62-70. doi: 10.1053/j.ajkd.2007.09.015.
Confounding-by-indication is a bias in nonexperimental studies that occurs when outcomes are compared for treated and untreated patients and the treatment or medication dose is related to predictors of the outcome. Two recent publications reported that greater epoetin alfa (EPO) doses were associated with increased mortality rates. We assessed whether confounding-by-indication might account for these results.
We used a retrospective cohort study design.
SETTING & PARTICIPANTS: Hemodialysis patients were randomly selected from a large dialysis organization from July 2000 to June 2002 and were required to have completed a 9-month baseline period.
EPO dose assessed during months 7 to 9 of the baseline period and monthly throughout the follow-up period. Hemoglobin (Hb) was assessed as average value during months 4 to 6 of the baseline period and monthly throughout the follow-up period. All other covariates were assessed during months 1 to 6 of the baseline period.
All-cause mortality during the 1 year of follow-up. Baseline Cox models were fitted with log EPO and Hb with and without adjustment for baseline patient characteristics. Time-dependent models were fitted with time-varying log EPO and Hb and, separately, lagged log EPO and Hb, with adjustment for baseline patient characteristics.
22,955 patients met our inclusion criteria. In the unadjusted model, we observed increased mortality risk with increasing EPO dose (hazard ratio [HR], 1.31 per log unit increase; 95% confidence interval [CI], 1.26 to 1.36). Adjustment for baseline patient characteristics resulted in an appreciably decreased HR (HR, 1.21; 95% CI, 1.15 to 1.28). In the lagged time-dependent analyses, estimates ranged from HR of 0.93 (95% CI, 0.92 to 0.95) to HR of 1.01 (95% CI, 0.99 to 1.03) for the 1- and 2-month lagged models, respectively.
This analysis was limited to prevalent hemodialysis patients, and inhospital EPO dosing information was unavailable.
The observed mortality risk estimates associated with EPO dose in nonexperimental studies in dialysis patients may be highly sensitive to the analytic method used. This highlights the complexity of evaluating the association between EPO dose, Hb level, and mortality in these studies.
指征性混杂是一种非实验性研究中的偏倚,当对接受治疗和未接受治疗的患者的结局进行比较,且治疗或药物剂量与结局的预测因素相关时就会出现这种偏倚。最近的两篇出版物报道,更高剂量的促红细胞生成素(EPO)与死亡率增加相关。我们评估了指征性混杂是否可能是这些结果的原因。
我们采用了回顾性队列研究设计。
从一个大型透析机构中随机选取2000年7月至2002年6月期间的血液透析患者,要求他们完成了为期9个月的基线期。
在基线期的第7至9个月以及整个随访期每月评估EPO剂量。在基线期的第4至6个月以及整个随访期每月评估血红蛋白(Hb),以平均值表示。所有其他协变量在基线期的第1至6个月进行评估。
随访1年期间的全因死亡率。基线Cox模型分别对log EPO和Hb进行拟合,同时调整和不调整基线患者特征。时变模型分别对时变log EPO和Hb以及滞后log EPO和Hb进行拟合,并调整基线患者特征。
22,955名患者符合我们的纳入标准。在未调整模型中,我们观察到随着EPO剂量增加,死亡风险增加(风险比[HR],每log单位增加1.31;95%置信区间[CI],1.26至1.36)。调整基线患者特征后,HR明显降低(HR,1.21;95%CI,1.15至1.28)。在滞后的时变分析中,1个月和2个月滞后模型的估计值分别为HR 0.93(95%CI,0.92至0.95)和HR 1.01(95%CI,0.99至1.03)。
该分析仅限于现患血液透析患者,且无法获取住院期间的EPO给药信息。
在透析患者的非实验性研究中,观察到的与EPO剂量相关的死亡风险估计值可能对所使用的分析方法高度敏感。这凸显了在这些研究中评估EPO剂量、Hb水平和死亡率之间关联的复杂性。