Roberts Tricia L, Foley Robert N, Weinhandl Eric D, Gilbertson David T, Collins Allan J
Chronic Disease Research Group, Minneapolis Medical Research Foundation, 914 South 8th Street, MN 55404, USA.
Nephrol Dial Transplant. 2006 Jun;21(6):1652-62. doi: 10.1093/ndt/gfk095. Epub 2006 Jan 31.
Haemoglobin levels in haemodialysis patients could represent unknown comorbidities, more severe levels of known comorbidities, as well as therapeutic choice. Thus, integrating factors predictive of anaemia with actual haemoglobin levels might improve prognostic discrimination.
We retrospectively studied 93,087 patients who started haemodialysis between 1998 and 2000. Clinical and treatment factors from months 4 through 9, derived from Medicare claims, were used to develop propensity scores for anaemia (mean haemoglobin <11 g/dl). Tertiles of propensity scores were interacted with five levels of actual mean haemoglobin to form 15 groups, ranging from low (anaemia) probability with (mean) haemoglobin <10 g/dl to high probability with haemoglobin >or=13 g/dl. Cox proportional hazards regression evaluated mortality and first hospitalization among these groups.
The anaemia propensity score improved overall prognostic discrimination. Propensity score adjustment significantly improved prediction of mortality (P<0.0001) after covariate adjustments including haemoglobin. For mortality, the highest and lowest adjusted hazard ratios (AHR) appeared in these groups, respectively: high probability with haemoglobin <10 g/dl (AHR 1.64 [1.54, 1.75], P<0.0001), and low probability with haemoglobin 12 to <13 g/dl (AHR 0.79 [0.74, 0.85], P<0.0001). Higher haemoglobin levels were associated with lower mortality even after propensity score adjustment. Similar patterns resulted for first hospitalization; however, the interaction was significant only for hospitalization (P = 0. 0212).
Integrating factors predictive of anaemia improves overall prognostic discrimination. Propensity score adjustment refines the prognostic association of haemoglobin levels in haemodialysis patients.
血液透析患者的血红蛋白水平可能代表未知的合并症、已知合并症的更严重程度以及治疗选择。因此,将贫血的预测因素与实际血红蛋白水平相结合可能会改善预后判别。
我们回顾性研究了1998年至2000年间开始血液透析的93087例患者。利用医疗保险理赔数据得出的第4至9个月的临床和治疗因素,来制定贫血(平均血红蛋白<11 g/dl)的倾向评分。倾向评分的三分位数与实际平均血红蛋白的五个水平进行交互,形成15组,范围从血红蛋白<10 g/dl的低(贫血)概率到血红蛋白≥13 g/dl的高概率。Cox比例风险回归评估了这些组中的死亡率和首次住院情况。
贫血倾向评分改善了总体预后判别。在包括血红蛋白在内的协变量调整后,倾向评分调整显著改善了死亡率预测(P<0.0001)。对于死亡率,调整后的最高和最低风险比(AHR)分别出现在以下组中:血红蛋白<10 g/dl的高概率组(AHR 1.64 [1.54, 1.75],P<0.0001),以及血红蛋白12至<13 g/dl的低概率组(AHR 0.79 [0.74, 0.85],P<0.0001)。即使在倾向评分调整后,较高的血红蛋白水平也与较低的死亡率相关。首次住院情况也呈现类似模式;然而,交互作用仅对住院情况有显著意义(P = 0.0212)。
整合贫血预测因素可改善总体预后判别。倾向评分调整细化了血液透析患者血红蛋白水平的预后关联。