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Shafi T, Michels WM, Levey AS, Inker LA, Dekker FW, Krediet RT, Hoekstra T, Schwartz GJ, Eckfeldt JH, Coresh J. Estimating residual kidney function in dialysis patients without urine collection. Kidney Int 2016; 89:1099-1110. [PMID: 26924062 PMCID: PMC4834223 DOI: 10.1016/j.kint.2015.10.011] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2015] [Revised: 10/08/2015] [Accepted: 10/15/2015] [Indexed: 12/13/2022]
Abstract
Residual kidney function contributes substantially to solute clearance in dialysis patients but cannot be assessed without urine collection. We used serum filtration markers to develop dialysis-specific equations to estimate urinary urea clearance without the need for urine collection. In our development cohort, we measured 24-hour urine clearances under close supervision in 44 patients and validated these equations in 826 patients from the Netherlands Cooperative Study on the Adequacy of Dialysis. For the development and validation cohorts, median urinary urea clearance was 2.6 and 2.4 ml/min, respectively. During the 24-hour visit in the development cohort, serum β-trace protein concentrations remained in steady state but concentrations of all other markers increased. In the validation cohort, bias (median measured minus estimated clearance) was low for all equations. Precision was significantly better for β-trace protein and β2-microglobulin equations and the accuracy was significantly greater for β-trace protein, β2-microglobulin, and cystatin C equations, compared with the urea plus creatinine equation. Area under the receiver operator characteristic curve for detecting measured urinary urea clearance by equation-estimated urinary urea clearance (both 2 ml/min or more) were 0.821, 0.850, and 0.796 for β-trace protein, β2-microglobulin, and cystatin C equations, respectively; significantly greater than the 0.663 for the urea plus creatinine equation. Thus, residual renal function can be estimated in dialysis patients without urine collections.
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Affiliation(s)
- Tariq Shafi
- Division of Nephrology, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA; Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA.
| | - Wieneke M Michels
- Division of Nephrology, Department of Medicine, Academic Medical Center, Amsterdam, the Netherlands
| | - Andrew S Levey
- Division of Nephrology, Department of Medicine, Tufts Medical Center, Boston, Massachusetts, USA
| | - Lesley A Inker
- Division of Nephrology, Department of Medicine, Tufts Medical Center, Boston, Massachusetts, USA
| | - Friedo W Dekker
- Department of Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Raymond T Krediet
- Division of Nephrology, Department of Medicine, Academic Medical Center, Amsterdam, the Netherlands
| | - Tiny Hoekstra
- Department of Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - George J Schwartz
- Division of Nephrology, Department of Pediatrics, University of Rochester, Rochester, New York, USA
| | - John H Eckfeldt
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Josef Coresh
- Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA; Departments of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA; Division of General Internal Medicine, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
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Little DJ, Yuan CM, Thurlow JS, Gounden V, Doi SQ, Pruziner A, Abbott KC, Theeler BJ, Olson SW. Effects of Traumatic Amputation on β-Trace Protein and β2-Microglobulin Concentrations in Male Soldiers. Am J Nephrol 2016; 42:436-42. [PMID: 26800100 DOI: 10.1159/000443775] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2015] [Accepted: 01/04/2016] [Indexed: 11/19/2022]
Abstract
BACKGROUND Serum creatinine (SCr) levels are decreased following traumatic amputation, leading to the overestimation of glomerular filtration rate (GFR). β-Trace protein (BTP) and β2-microglobulin (B2M) strongly correlate with measured GFR and have not been studied following amputation. We hypothesized that BTP and B2M would be unaffected by traumatic amputation. METHODS We used the Department of Defense Serum Repository to compare pre- and post-traumatic amputation serum BTP and B2M levels in 33 male soldiers, via the N Latex BTP and B2M nephelometric assays (Siemens Diagnostics, Tarrytown, N.Y., USA). Osterkamp estimation using DEXA scan measurements was used to establish percent estimated body weight loss (%EBWL). Results were analyzed for small (3-5.9% EBWL), medium (6-13.5%), and large (>13.5%) amputation subgroups; and for a control group matched 1:1 to the 12 large amputation subjects. Paired Student's t test was used for comparisons. RESULTS Mean serum BTP levels were unchanged in controls, all amputees, and the small and medium amputation subgroups. BTP appeared to decrease following large %EBWL amputation (p = 0.05). Mean serum B2M levels were unchanged in controls, all amputees, and the small and medium amputation subgroups. B2M appeared to increase following large %EBWL amputation (p = 0.05). CONCLUSIONS BTP and B2M levels are less affected than SCr by amputation, and should be considered for future study of GFR estimation. BTP and B2M changes following large %EBWL amputation require validation and may offer insight into non-GFR BTP and B2M determinants as well as increased cardiovascular disease and mortality following amputation.
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Affiliation(s)
- Dustin J Little
- Nephrology Service, Department of Medicine, Walter Reed National Military Medical Center, Bethesda, Md., USA
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Inker LA, Tighiouart H, Coresh J, Foster MC, Anderson AH, Beck GJ, Contreras G, Greene T, Karger AB, Kusek JW, Lash J, Lewis J, Schelling JR, Navaneethan SD, Sondheimer J, Shafi T, Levey AS. GFR Estimation Using β-Trace Protein and β2-Microglobulin in CKD. Am J Kidney Dis 2016; 67:40-8. [PMID: 26362696 PMCID: PMC4695294 DOI: 10.1053/j.ajkd.2015.07.025] [Citation(s) in RCA: 116] [Impact Index Per Article: 12.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2015] [Accepted: 07/14/2015] [Indexed: 12/13/2022]
Abstract
BACKGROUND β-Trace protein (BTP) and β2-microglobulin (B2M) are novel glomerular filtration markers that have stronger associations with adverse outcomes than creatinine. Comparisons of BTP and B2M to creatinine and cystatin C are limited by the absence of rigorously developed glomerular filtration rate (GFR) estimating equations for the novel markers. STUDY DESIGN Study of diagnostic test accuracy. SETTING & PARTICIPANTS Pooled database of 3 populations with chronic kidney disease (CKD) with mean measured GFR of 48 mL/min/1.73 m2 (N=3,551; MDRD [Modification of Diet in Renal Disease] Study, AASK [African American Study of Kidney Disease and Hypertension], and CRIC [Chronic Renal Insufficiency Cohort] Study). INDEX TESTS GFR estimated using creatinine, cystatin C, BTP, or B2M level. REFERENCE TEST GFR measured as the urinary clearance of iothalamate. RESULTS For BTP and B2M, coefficients for age, sex, and race were smaller than for creatinine and were similar or smaller than for cystatin C. For B2M, coefficients for sex, age, and race were smaller than for creatinine and were similar (age and race) or smaller (sex) than for cystatin C. The final equations with BTP (BTP, age, and sex) or B2M (B2M alone) were less accurate than either the CKD-EPI (CKD Epidemiology Collaboration) creatinine or cystatin C equations. The combined BTP-B2M equation (BTP and B2M alone) had similar accuracy to the CKD-EPI creatinine or cystatin C equation. The average of the BTP-B2M equation and the CKD-EPI creatinine-cystatin C equation was not more accurate than the CKD-EPI creatinine-cystatin C equation. LIMITATIONS No external validation population, study population was restricted to CKD, few participants older than 65 years, or nonblack nonwhite race. CONCLUSIONS BTP and B2M are less influenced by age, sex, and race than creatinine and less influenced by race than cystatin C, but provide less accurate GFR estimates than the CKD-EPI creatinine and cystatin C equations. The CKD-EPI BTP and B2M equation provides a methodological advance for their study as filtration markers and in their associations with risk and adverse outcomes, but further study is required before clinical use.
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Affiliation(s)
| | - Hocine Tighiouart
- Tufts Medical Center, Boston, MA; Research Design Center/Biostatistics Research Center, Tufts CTSI and Institute for Clinical Research and Health Policy Studies, Boston, MA
| | - Josef Coresh
- Johns Hopkins University School of Medicine, Baltimore, MD
| | | | - Amanda H Anderson
- Perelman School of Medicine at the University of Pennsylvania. Philadelphia, PA
| | | | | | | | | | - John W Kusek
- National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD
| | - James Lash
- University of Illinois at Chicago, Chicago, IL
| | | | | | | | | | - Tariq Shafi
- Johns Hopkins University School of Medicine, Baltimore, MD
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Byber K, Lison D, Verougstraete V, Dressel H, Hotz P. Cadmium or cadmium compounds and chronic kidney disease in workers and the general population: a systematic review. Crit Rev Toxicol 2015; 46:191-240. [DOI: 10.3109/10408444.2015.1076375] [Citation(s) in RCA: 58] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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Shafi T, Pluznick JL. Renal Handling of β-Trace Protein: Interpreting the Evidence. Am J Kidney Dis 2015; 65:967. [PMID: 26003611 DOI: 10.1053/j.ajkd.2015.01.033] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2015] [Accepted: 01/23/2015] [Indexed: 11/11/2022]
Affiliation(s)
- Tariq Shafi
- The Johns Hopkins University School of Medicine, Baltimore, Maryland
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Bacci MR, Cavallari MR, de Rozier-Alves RM, Alves BDCA, Fonseca FLA. The impact of lipocalin-type-prostaglandin-D-synthase as a predictor of kidney disease in patients with type 2 diabetes. DRUG DESIGN DEVELOPMENT AND THERAPY 2015; 9:3179-82. [PMID: 26124640 PMCID: PMC4482380 DOI: 10.2147/dddt.s82100] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Hypertension and diabetes are clinical conditions which contribute to the development of chronic kidney disease as well as risk factors for cardiovascular events. In recent years, lipocalin-type-prostaglandin-D-synthase (beta trace protein; BTP) has increasingly been studied as an alternative to creatinine for the evaluation of renal function as well as for being a possible biomarker for cardiovascular disease. It is expected that the levels of BTP in patients with cardiovascular disease are elevated, as is the case with patients with renal dysfunction. The objective of this study is to realize a systematic review of the pertinent literature in respect to BTP as a biomarker of renal dysfunction in diabetic patients. Using the database MEDLINE, a search up to year 2014 was conducted using the follow descriptors: "lipocalin type prostaglandin d synthase" AND "diabetes"; "lipocalin type prostaglandin d synthase" and "diabetic nephropathy"; "beta trace protein" AND "diabetes"; "beta trace protein" AND "diabetic nephropathy". The criteria used for inclusion were the presence of the referring to terms in title or abstract and study conducted in humans. About 17 articles were selected, of which six articles were duplicates, and of which six articles did not investigate any possible relationship between the protein (BTP) and either diabetes or nephropathy. The final result yielded five articles to be analyzed. This review found BTP is not influenced by race, by body mass index nor by patient's sex. BTP can be considered as a reliable early biomarker of renal dysfunction in diabetics. BTP is associated with metabolic syndrome and is also associated with greater cardiovascular risk. Prospective data establishing a correlation between BTP and mortality would have been of great interest, but such articles were not found in this review.
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Affiliation(s)
| | | | | | | | - Fernando Luiz Affonso Fonseca
- Clinical Analysis Laboratory, ABC Medical School, Federal University of São Paulo, São Paulo, Brazil ; Biological Sciences Department, Federal University of São Paulo, São Paulo, Brazil
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Foster MC, Inker LA, Hsu CY, Eckfeldt JH, Levey AS, Pavkov ME, Myers BD, Bennett PH, Kimmel PL, Vasan RS, Coresh J, Nelson RG. Filtration markers as predictors of ESRD and mortality in Southwestern American Indians with type 2 diabetes. Am J Kidney Dis 2015; 66:75-83. [PMID: 25773485 DOI: 10.1053/j.ajkd.2015.01.013] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2014] [Accepted: 01/08/2015] [Indexed: 11/11/2022]
Abstract
BACKGROUND A growing number of serum filtration markers are associated with mortality and end-stage renal disease (ESRD) in adults. Whether β-trace protein (BTP) and β2-microglobulin (B2M) are associated with these outcomes in adults with type 2 diabetes is not known. STUDY DESIGN Longitudinal cohort study. SETTING & PARTICIPANTS 250 Pima Indians with type 2 diabetes (69% women; mean age, 42 years; mean diabetes duration, 11 years). PREDICTORS Serum BTP, B2M, and glomerular filtration rate measured by iothalamate clearance (mGFR) or estimated using creatinine (eGFRcr) or cystatin C level (eGFRcys). OUTCOMES & MEASUREMENTS Incident ESRD and all-cause mortality through December 2013. HRs were reported per interquartile range decrease of the inverse of BTP and B2M (1/BTP and 1/B2M) using Cox regression. Improvement in risk prediction with the addition of BTP or B2M level to established markers (eGFRcys with mGFR or eGFRcr) was evaluated using C statistics, continuous net reclassification improvement, and relative integrated discrimination improvement (RIDI). RESULTS During a median follow-up of 14 years, 69 participants developed ESRD and 95 died. Both novel markers were associated with ESRD in multivariable models. BTP level remained statistically significant after further adjustment for mGFR (1/BTP, 1.53 [95% CI, 1.01-2.30]; 1/B2M, 1.54 [95% CI, 0.98-2.42]). B2M level was associated with mortality in multivariable models and after further adjustment for mGFR (HR, 2.12; 95% CI, 1.38-3.26). The addition of B2M level to established markers increased the C statistic for mortality but only weakly when assessed by either continuous net reclassification improvement or RIDI; none was improved for ESRD by the addition of these markers. LIMITATIONS Small sample size, single measurements of markers. CONCLUSIONS In Pima Indians with type 2 diabetes, BTP and, to a lesser extent, B2M levels were associated with ESRD. B2M level was associated with mortality after adjustment for traditional risk factors and established filtration markers. Further studies are warranted to confirm whether inclusion of B2M level in a multimarker approach leads to improved risk prediction for mortality in this population.
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Affiliation(s)
| | | | - Chi-Yuan Hsu
- University of California, San Francisco, San Francisco, CA
| | | | | | - Meda E Pavkov
- Centers for Disease Control and Prevention, Atlanta, GA
| | | | - Peter H Bennett
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ
| | - Paul L Kimmel
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | | | - Josef Coresh
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Robert G Nelson
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ.
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