AIDS · 2007 · 231 citations · 33 references
MedicineNephrologyHiv ControlHiv PreventionRenal PathophysiologyChronic Kidney DiseaseRenal AssessmentRenal DiseaseRenal Function TestsRenal ImpairmentCd4 Cell Count MonitoringChronic Renal InsufficiencyCumulative ExposureCumulative Exposure AssessmentGlomerular Filtration AssessmentGlomerular Filtration Rate AssessmentRenal Impairment Covariate ModelingViral Load Assessment
BACKGROUND: The role of exposure to antiretrovirals in chronic renal failure (CRF) is not well understood. Glomerular filtration rates (GFR) are estimated using the Cockcroft-Gault (CG) or Modification of Diet in Renal Disease (MDRD) equations. METHODS: Baseline was arbitrarily defined as the first recorded GFR; patients with two consecutive GFR < or = 60 ml/min per 1.73 m(2) were defined as having CRF. Logistic regression was used to determine odds ratio (OR) of CRF at baseline. ART exposure (yes/no or cumulative exposure) prior to baseline was included in multivariate models (adjusted for region of Europe, age, prior AIDS, CD4 cell count nadir, viral load, hypertension and use of nephrotoxic anti-infective therapy). RESULTS: Using CG, the median GFR at baseline (n = 4474) was 94.4 (interquartile range, 80.5-109.3); 158 patients (3.5%) had CRF. Patients with CRF were older (median, 61.9 versus 43.1 years), had lower CD4 cell count nadirs (median, 80 versus 137 cells/microl), and were more likely to be diagnosed with AIDS (44.3 versus 30.4%), diabetes (16.5 versus 4.3%) or hypertension (53.8 versus 26.4%), all P < 0.001. In a multivariate model any use of indinavir [odds ratio (OR) 2.49; 95% confidence interval (CI), 1.62-3.83] or tenofovir (OR, 2.18; 95% CI, 1.25-3.81) was associated with increased odds of CRF, as was cumulative exposure to indinavir (OR, 1.15 per year of exposure; 95% CI, 1.06-1.25) or tenofovir (OR, 1.60; 95% CI, 1.20-2.15). Highly consistent results were seen using the MDRD formula. CONCLUSIONS: Among antiretrovirals, only exposure to indinavir or tenofovir was associated with increased odds of CRF. We used a confirmed low GFR to define CRF to increase the robustness of our analysis, although there are several potential biases associated with this cross-sectional analysis.
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Samir K. Gupta, Joseph A. Eustace, Jonathan Winston et al. · Clinical Infectious Diseases · 2005 · 585 citations · Full text
Structural-functional correlations in renal disease
Lewis I. Schainuck, Gary E. Striker, Ralph E. Cutler et al. · Human Pathology · 1970 · 464 citations
Medicine, Nephrology, Physiology +13