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      Urine neutrophil gelatinase-associated lipocalin levels do not improve risk prediction of progressive chronic kidney disease

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          Abstract

          Novel biomarkers may improve our ability to predict which patients with chronic kidney disease (CKD) are at higher risk for progressive loss of renal function. Here we assessed the performance of urine neutrophil gelatinase-associated lipocalin (NGAL) for outcome prediction in a diverse cohort of 3386 patients with CKD in the CRIC study. In this cohort, the baseline mean estimated glomerular filtration rate (eGFR) was 42.4 ml/min/1.73m 2; the median 24-hour urine protein was 0.2 gm/day; and the median urine NGAL concentration was 17.2 ng/mL. Over an average follow-up of 3.2 years, there were 689 cases in which the eGFR was decreased by half or incident end-stage renal disease developed. Even after accounting for eGFR, proteinuria and other known CKD progression risk factors, urine NGAL remained a significant independent risk factor (Cox model hazard ratio 1.70 highest to lowest quartile). The association between baseline urine NGAL levels and risk of CKD progression was strongest in the first two years of biomarker measurement. Within this time frame, adding urine NGAL to a model which included eGFR, proteinuria and other CKD progression risk factors led to net reclassification improvement of 24.7%; but the C-statistic remained nearly identical. Thus, while urine NGAL was an independent risk factor of progression among patients with established CKD of diverse etiology, it did not substantially improve prediction of outcome events.

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          Most cited references23

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          Survival model predictive accuracy and ROC curves.

          The predictive accuracy of a survival model can be summarized using extensions of the proportion of variation explained by the model, or R2, commonly used for continuous response models, or using extensions of sensitivity and specificity, which are commonly used for binary response models. In this article we propose new time-dependent accuracy summaries based on time-specific versions of sensitivity and specificity calculated over risk sets. We connect the accuracy summaries to a previously proposed global concordance measure, which is a variant of Kendall's tau. In addition, we show how standard Cox regression output can be used to obtain estimates of time-dependent sensitivity and specificity, and time-dependent receiver operating characteristic (ROC) curves. Semiparametric estimation methods appropriate for both proportional and nonproportional hazards data are introduced, evaluated in simulations, and illustrated using two familiar survival data sets.
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            Lower estimated GFR and higher albuminuria are associated with adverse kidney outcomes. A collaborative meta-analysis of general and high-risk population cohorts.

            Both a low estimated glomerular filtration rate (eGFR) and albuminuria are known risk factors for end-stage renal disease (ESRD). To determine their joint contribution to ESRD and other kidney outcomes, we performed a meta-analysis of nine general population cohorts with 845,125 participants and an additional eight cohorts with 173,892 patients, the latter selected because of their high risk for chronic kidney disease (CKD). In the general population, the risk for ESRD was unrelated to eGFR at values between 75 and 105 ml/min per 1.73 m(2) but increased exponentially at lower levels. Hazard ratios for eGFRs averaging 60, 45, and 15 were 4, 29, and 454, respectively, compared with an eGFR of 95, after adjustment for albuminuria and cardiovascular risk factors. Log albuminuria was linearly associated with log ESRD risk without thresholds. Adjusted hazard ratios at albumin-to-creatinine ratios of 30, 300, and 1000 mg/g were 5, 13, and 28, respectively, compared with an albumin-to-creatinine ratio of 5. Albuminuria and eGFR were associated with ESRD, without evidence for multiplicative interaction. Similar associations were found for acute kidney injury and progressive CKD. In high-risk cohorts, the findings were generally comparable. Thus, lower eGFR and higher albuminuria are risk factors for ESRD, acute kidney injury and progressive CKD in both general and high-risk populations, independent of each other and of cardiovascular risk factors.
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              Chronic Renal Insufficiency Cohort (CRIC) Study: baseline characteristics and associations with kidney function.

              The Chronic Renal Insufficiency Cohort (CRIC) Study was established to examine risk factors for the progression of chronic kidney disease (CKD) and cardiovascular disease (CVD) in patients with CKD. We examined baseline demographic and clinical characteristics. Seven clinical centers recruited adults who were aged 21 to 74 yr and had CKD using age-based estimated GFR (eGFR) inclusion criteria. At baseline, blood and urine specimens were collected and information regarding health behaviors, diet, quality of life, and functional status was obtained. GFR was measured using radiolabeled iothalamate in one third of participants. A total of 3612 participants were enrolled with mean age +/- SD of 58.2 +/- 11.0 yr; 46% were women, and 47% had diabetes. Overall, 45% were non-Hispanic white, 46% were non-Hispanic black, and 5% were Hispanic. Eighty-six percent reported hypertension, 22% coronary disease, and 10% heart failure. Mean body mass index was 32.1 +/- 7.9 kg/m(2), and 47% had a BP >130/80 mmHg. Mean eGFR was 43.4 +/- 13.5 ml/min per 1.73 m(2), and median (interquartile range) protein excretion was 0.17 g/24 h (0.07 to 0.81 g/24 h). Lower eGFR was associated with older age, lower socioeconomic and educational level, cigarette smoking, self-reported CVD, peripheral arterial disease, and elevated BP. Lower level of eGFR was associated with a greater burden of CVD as well as lower socioeconomic and educational status. Long-term follow-up of participants will provide critical insights into the epidemiology of CKD and its relationship to adverse outcomes.
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                Author and article information

                Journal
                0323470
                5428
                Kidney Int
                Kidney Int.
                Kidney international
                0085-2538
                1523-1755
                7 March 2013
                23 January 2013
                May 2013
                01 November 2013
                : 83
                : 5
                : 909-914
                Affiliations
                [1 ]University of California, San Francisco
                [2 ]University of Pennsylvania
                [3 ]Cleveland Clinic
                [4 ]Tulane University
                [5 ]University of Illinois-Chicago
                [6 ]Case Western Reserve University
                [7 ]Kaiser Permanente of Northern California
                Author notes
                Corresponding Author: Chi-yuan Hsu, MD, MSc Address: Division of Nephrology University of California, San Francisco 521 Parnassus Avenue, C443, Box 0532 San Francisco, CA 94143-0532 United States of America Telephone: 415-353-2379 Fax: 415-476-3381 hsuchi@ 123456medicine.ucsf.edu
                Article
                NIHMS430195
                10.1038/ki.2012.458
                3642209
                23344473
                e378c9a8-0e24-480f-a5a5-970775bb822a
                History
                Funding
                Funded by: National Institute of Diabetes and Digestive and Kidney Diseases : NIDDK
                Award ID: U01 DK085649 || DK
                Categories
                Article

                Nephrology
                Nephrology

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