Pei Y, Cattran D, Greenwood C
Department of Medicine, University of Toronto, Ontario, Canada.
Kidney Int. 1992 Oct;42(4):960-6. doi: 10.1038/ki.1992.374.
We developed an approach in quantifying the risk of developing chronic renal insufficiency (CRI) based on a cohort of 184 patients with idiopathic membranous glomerulonephritis (IMGN), prospectively followed by the Toronto Glomerulonephritis Registry between 1974 and 1988. After a mean follow-up period of 5.8 years, 26% of patients developed CRI (defined as persistent reduction of creatinine clearance (CCr) less than or equal to 60 ml/min/1.73 m2 for greater than or equal to 12 months). We found that when compared to the baseline probability of the unselected patients, the severity of proteinuria at kidney biopsy added only marginally to the prediction of CRI. We introduced a special test condition: persistent proteinuria (PP) (that is, duration of proteinuria, g/day, above different cut-off levels). We examined the positive predictive value (PPV) and sensitivity (SEN) of 15 arbitrarily chosen levels of PP (that is, proteinuria greater than or equal to 4, 6 or 8 g/day persisting for greater than or equal to 6, 9, 12, 18 or 24 months) to select levels with optimal predictive characteristics. We found that PP greater than or equal to 8 g/day for greater than or equal to six months was a simple and useful predictor of CRI with a PPV and SEN of 66%. To further improve our prediction, we tested the following parameters: age, sex, initial SCr and CCr, proteinuria, serum albumin, hypertension, rate of change of CCr over time, and therapy (steroids +/- immunosuppressive drugs) in a multivariate analysis. Proteinuria, initial CCr, and rate of change of CCr were most important in predicting CRI.(ABSTRACT TRUNCATED AT 250 WORDS)
我们基于184例特发性膜性肾小球肾炎(IMGN)患者队列,开发了一种量化慢性肾功能不全(CRI)发生风险的方法。该队列在1974年至1988年间由多伦多肾小球肾炎登记处进行前瞻性随访。平均随访5.8年后,26%的患者发生了CRI(定义为肌酐清除率(CCr)持续降低至小于或等于60 ml/min/1.73 m²且持续时间大于或等于12个月)。我们发现,与未筛选患者的基线概率相比,肾活检时蛋白尿的严重程度对CRI的预测仅略有增加。我们引入了一种特殊的测试条件:持续性蛋白尿(PP)(即蛋白尿持续时间,g/天,高于不同的临界值水平)。我们检查了15个任意选择的PP水平(即蛋白尿大于或等于4、6或8 g/天且持续大于或等于6、9、12、18或24个月)的阳性预测值(PPV)和敏感性(SEN),以选择具有最佳预测特征的水平。我们发现,蛋白尿大于或等于8 g/天且持续大于或等于6个月是CRI的一个简单且有用的预测指标,其PPV和SEN为66%。为了进一步改进我们的预测,我们在多变量分析中测试了以下参数:年龄、性别、初始血清肌酐和CCr、蛋白尿、血清白蛋白、高血压、CCr随时间的变化率以及治疗(类固醇+/-免疫抑制药物)。蛋白尿、初始CCr和CCr的变化率在预测CRI方面最为重要。(摘要截短于250字)