F Locatelli, L Del Vecchio, S Andrulli, P Marai, F Tentori
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Univariate and multivariate analyses of variance were used to select the covariates possibly related to CRF progression (estimated by means of the slope of the reciprocal of SCr against time), focusing on the contributory role of primary renal diseases.</p><p><strong>Results: </strong>The overall rate of CRF progression was relatively low but there was a considerable difference in the slopes relating to the underlying nephropathy (particularly evident in the patients with chronic glomerulonephritis (CGN)). The median rate of CRF progression in both studies was more rapid in patients with polycystic kidney disease (PKD) and CGN than in those with other nephropathies. Multivariate analysis showed PKD as an independent predictor of the CRF progression rate only in the NIC Study (P < 0.0015); the selected variables in both studies predicted a variation of only 15-18% in the CRF progression rate.</p><p><strong>Conclusion: </strong>The underlying renal disease certainly plays a role in the natural history of CRF, but the variability of the CRF progression rates related to different renal diseases and between individuals with the same diagnosis underlines the need for caution in evaluating risk factors and predicting single patient outcomes.</p>","PeriodicalId":17704,"journal":{"name":"Kidney international. Supplement","volume":"75 ","pages":"S49-55"},"PeriodicalIF":0.0000,"publicationDate":"2000-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The role of underlying nephropathy in the progression of renal disease.\",\"authors\":\"F Locatelli, L Del Vecchio, S Andrulli, P Marai, F Tentori\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Disease-specific pathogenic mechanisms may be major determinants of the spontaneous rate of progression of chronic renal failure (CRF). To clarify the role of different underlying renal diseases, we examined the rate of CRF progression in 886 patients with chronic nephropathies.</p><p><strong>Methods: </strong>Secondary analysis of two multicenter, prospective randomized trials: the Northern Italian Cooperative study (NIC) and the AIPRI study (ACE-Inhibition in Progressive Renal Insufficiency). Univariate and multivariate analyses of variance were used to select the covariates possibly related to CRF progression (estimated by means of the slope of the reciprocal of SCr against time), focusing on the contributory role of primary renal diseases.</p><p><strong>Results: </strong>The overall rate of CRF progression was relatively low but there was a considerable difference in the slopes relating to the underlying nephropathy (particularly evident in the patients with chronic glomerulonephritis (CGN)). The median rate of CRF progression in both studies was more rapid in patients with polycystic kidney disease (PKD) and CGN than in those with other nephropathies. 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引用次数: 0
摘要
背景:疾病特异性致病机制可能是慢性肾衰竭(CRF)自发进展率的主要决定因素。为了阐明不同潜在肾脏疾病的作用,我们检查了886例慢性肾病患者的CRF进展率。方法:对两项多中心前瞻性随机试验进行二次分析:北意大利合作研究(NIC)和AIPRI研究(ACE-Inhibition in Progressive Renal Insufficiency)。使用单变量和多变量方差分析来选择可能与CRF进展相关的协变量(通过SCr随时间倒数的斜率估计),重点关注原发性肾脏疾病的促进作用。结果:CRF的总体进展率相对较低,但与潜在肾病相关的斜率有相当大的差异(在慢性肾小球肾炎(CGN)患者中尤其明显)。在这两项研究中,多囊肾病(PKD)和CGN患者的CRF进展中位数速度比其他肾病患者更快。多变量分析显示,PKD仅在NIC研究中是CRF进展率的独立预测因子(P < 0.0015);两项研究中选择的变量预测CRF进展率的变化仅为15-18%。结论:潜在的肾脏疾病确实在CRF的自然史中起作用,但不同肾脏疾病和相同诊断的个体之间的CRF进展率的可变性强调了评估危险因素和预测单个患者结局时需要谨慎。
The role of underlying nephropathy in the progression of renal disease.
Background: Disease-specific pathogenic mechanisms may be major determinants of the spontaneous rate of progression of chronic renal failure (CRF). To clarify the role of different underlying renal diseases, we examined the rate of CRF progression in 886 patients with chronic nephropathies.
Methods: Secondary analysis of two multicenter, prospective randomized trials: the Northern Italian Cooperative study (NIC) and the AIPRI study (ACE-Inhibition in Progressive Renal Insufficiency). Univariate and multivariate analyses of variance were used to select the covariates possibly related to CRF progression (estimated by means of the slope of the reciprocal of SCr against time), focusing on the contributory role of primary renal diseases.
Results: The overall rate of CRF progression was relatively low but there was a considerable difference in the slopes relating to the underlying nephropathy (particularly evident in the patients with chronic glomerulonephritis (CGN)). The median rate of CRF progression in both studies was more rapid in patients with polycystic kidney disease (PKD) and CGN than in those with other nephropathies. Multivariate analysis showed PKD as an independent predictor of the CRF progression rate only in the NIC Study (P < 0.0015); the selected variables in both studies predicted a variation of only 15-18% in the CRF progression rate.
Conclusion: The underlying renal disease certainly plays a role in the natural history of CRF, but the variability of the CRF progression rates related to different renal diseases and between individuals with the same diagnosis underlines the need for caution in evaluating risk factors and predicting single patient outcomes.