University of California, San Francisco, 94143-0633, USA.
Arthritis Care Res (Hoboken). 2011 Mar;63(3):351-7. doi: 10.1002/acr.20397. Epub 2010 Nov 15.
There is a need to identify clinical characteristics and/or biomarkers that can predict treatment outcome in lupus nephritis. To this end, we utilized data from the Aspreva Lupus Management Study to identify possible baseline and early predictors of renal response to mycophenolate mofetil (MMF) or intravenous (IV) cyclophosphamide (CYC).
Patients with class III-V lupus nephritis were randomized to MMF or IV CYC. We assessed predictors of renal response, including baseline demographic, clinical, laboratory, and histologic characteristics, as well as early clinical and laboratory data, obtained within the first 2 months of therapy. Odds ratios (ORs) and 95% confidence intervals for renal response were calculated for each putative predictor.
Normalization of C3, C4, or both by week 8 was strongly predictive of renal response at week 24 (ORs 2.5, 2.6, and 2.9, respectively; P < 0.05). Reduction in proteinuria by ≥25% by week 8 was predictive of renal response at week 24 (OR 3.2, P < 0.05). Reduction in anti-double-stranded DNA (anti-dsDNA) by week 8 was not predictive of renal response. Only 3 baseline characteristics (C4 level, time since diagnosis of lupus nephritis, and estimated glomerular filtration rate [GFR]) were predictive of renal response; the remaining characteristics (age, age at lupus nephritis onset, time since diagnosis of systemic lupus erythematosus, sex, histopathologic class, anti-dsDNA antibody level, C3 level, level of proteinuria, and use of angiotensin-converting enzyme inhibitors, statins, or hydroxychloroquine) were not.
This study demonstrates that baseline C4 level, time since diagnosis of lupus nephritis, baseline estimated GFR, early normalization of complement, and reduction in proteinuria independently predict renal response to therapy at 6 months.
需要确定能够预测狼疮肾炎治疗结果的临床特征和/或生物标志物。为此,我们利用来自 Aspreva 狼疮管理研究的数据,确定了霉酚酸酯(MMF)或静脉注射(IV)环磷酰胺(CYC)治疗狼疮肾炎的可能基线和早期预测因素。
将 III-V 类狼疮肾炎患者随机分为 MMF 或 IV CYC 组。我们评估了肾脏反应的预测因素,包括基线人口统计学、临床、实验室和组织学特征,以及在治疗的前 2 个月内获得的早期临床和实验室数据。为每个潜在预测因素计算了肾脏反应的优势比(OR)和 95%置信区间。
第 8 周时 C3、C4 或两者同时正常是第 24 周肾脏反应的强烈预测因素(OR 分别为 2.5、2.6 和 2.9;P<0.05)。第 8 周时蛋白尿减少≥25%是第 24 周肾脏反应的预测因素(OR 为 3.2,P<0.05)。第 8 周时抗双链 DNA(抗-dsDNA)的减少不能预测肾脏反应。只有 3 个基线特征(C4 水平、狼疮肾炎诊断后的时间和估计肾小球滤过率[GFR])可以预测肾脏反应;其余特征(年龄、狼疮肾炎发病年龄、系统性红斑狼疮诊断后的时间、性别、组织病理学分类、抗-dsDNA 抗体水平、C3 水平、蛋白尿水平以及血管紧张素转换酶抑制剂、他汀类药物或羟氯喹的使用)则不能。
本研究表明,基线 C4 水平、狼疮肾炎诊断后的时间、基线估计的 GFR、早期补体正常化和蛋白尿减少独立预测 6 个月时的治疗反应。