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Lees JS, Fabian J, Shlipak MG. Cystatin C should be routinely available for estimating kidney function. Curr Opin Nephrol Hypertens 2024; 33:337-343. [PMID: 38411195 DOI: 10.1097/mnh.0000000000000980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/28/2024]
Abstract
PURPOSE OF REVIEW In this report, we summarize why the availability of cystatin C is important across a variety of clinical scenarios, the recent literature on when, why and in whom cystatin C testing should be considered, and how nephrologists can take practical steps to incorporate cystatin C testing into their practice. RECENT FINDINGS Large intra-individual discrepancies between estimated glomerular filtration rate by creatinine (eGFRcr) and estimated glomerular filtration rate by creatinine eGFRcys (known as eGFRdiff) are observed in at least 1 in 4 people. These differences are seen more commonly among more vulnerable individuals: older adults, females, non-White individuals and those living with multiple medical conditions. A large eGFRdiff, where eGFRcys is lower than eGFRcr, is associated with a plethora of adverse outcomes, including medication-associated adverse events, acute kidney injury, cardiovascular disease, kidney failure and all-cause mortality. Among studies that have measured GFR, eGFRcr-cys usually provides the most accurate estimation of kidney function compared to mGFR, including among participants with large discrepancies between eGFRcr and eGFRcys. SUMMARY Cystatin C improves sensitivity and specificity of chronic kidney disease diagnosis, improves detection of harmful acute and chronic changes in kidney function, improves precision of treatment eligibility and safety, and may reduce healthcare inequalities. Better education, curiosity, and motivation among nephrologists could substantially improve the availability and utilization of cystatin C.
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Affiliation(s)
- Jennifer S Lees
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - June Fabian
- Wits Donald Gordon Medical Centre, School of Clinical Medicine, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa
| | - Michael G Shlipak
- Kidney Health Research Collaborative, Department of Medicine, University of California San Francisco and San Francisco VA Healthcare System, San Francisco, California, USA
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Edrosolan KA, Shlipak MG, Scherzer R, Estrella MM, Gustafson D, Karim R, Fisher M, Cohen M, Kassaye S, Dumond J, Abraham A, McCulloch CE, Ascher SB. Mediation analysis of chronic kidney disease risk factors using kidney biomarkers in women living with HIV. AIDS 2024; 38:813-824. [PMID: 38224361 PMCID: PMC11025668 DOI: 10.1097/qad.0000000000003839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2024]
Abstract
OBJECTIVE Novel urinary biomarkers reflecting kidney tubule health are associated with chronic kidney disease (CKD) risk in persons living with HIV. However, it is unknown whether these biomarkers provide mechanistic insight into the associations between clinical risk factors for CKD and subsequent CKD risk. METHODS Among 636 women living with HIV in the Women's Interagency HIV Study with estimated glomerular filtration rate (eGFR) >60 ml/min/1.73 m 2 , we used a counterfactual approach to causal mediation analysis to evaluate the extent to which systolic blood pressure (SBP), diastolic blood pressure (DBP), hemoglobin a1c (Hba1c) and serum albumin associations with incident CKD were mediated by eight urine proteins. These biomarkers reflect proximal tubular reabsorptive dysfunction (α1-microglobulin [a1m], β2-microglobulin, trefoil factor 3); tubular injury (interleukin 18 [IL-18], kidney injury molecule 1 [KIM-1]); kidney repair (epidermal growth factor); tubular reserve (uromodulin); and glomerular injury (urinary albumin). Incident CKD was defined as eGFR <60 ml/min/1.73 m 2 measured at two consecutive 6-month visits with an average annual eGFR decline ≥3% per year. RESULTS During a median follow-up of 7 years, 11% developed CKD. Urinary albumin and KIM-1 mediated 32% (95% CI: 13.4%, 76.6%) and 23% (6.9%, 60.7%) of the association between SBP and incident CKD, respectively; and 19% (5.1%, 42.3%) and 22% (8.1%, 45.7%) of the association between DBP and incident CKD, respectively. Urinary albumin, α1m, and IL-18 were significant mediators of the association between Hba1c and incident CKD. None of the eight biomarkers mediated the association between serum albumin and incident CKD. CONCLUSIONS Among women living with HIV, several urinary biomarkers reflecting distinct dimensions of kidney health may partially explain the associations between SBP, DBP, and Hba1c and subsequent CKD risk.
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Affiliation(s)
- Kristienne A Edrosolan
- Kidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Healthcare System and University of California, San Francisco
| | - Michael G Shlipak
- Kidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Healthcare System and University of California, San Francisco
| | - Rebecca Scherzer
- Kidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Healthcare System and University of California, San Francisco
| | - Michelle M Estrella
- Kidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Healthcare System and University of California, San Francisco
- Department of Medicine, Division of Nephrology, University of California, San Francisco, CA
| | - Deborah Gustafson
- Department of Neurology, SUNY Downstate Health Sciences University, New York, NY
| | - Roksana Karim
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Molly Fisher
- Division of Nephrology, Albert Einstein College of Medicine, Bronx, NY
| | - Mardge Cohen
- Stroger Hospital of Cook County Health and Human Services, Chicago, IL
| | - Seble Kassaye
- Division of Infectious Diseases, Georgetown University, Washington DC
| | - Julie Dumond
- Division of Pharmacotherapy and Experimental Therapeutics, University of North Carolina at Chapel Hill Eshelman School of Pharmacy, Chapel Hill, NC
| | - Alison Abraham
- Department of Epidemiology, University of Colorado School of Public Health, Denver, CO
| | - Charles E McCulloch
- Department of Epidemiology & Biostatistics, University of California, San Francisco, San Francisco
| | - Simon B Ascher
- Kidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Healthcare System and University of California, San Francisco
- Division of Hospital Medicine, University of California Davis, Sacramento, CA, USA
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Ascher SB, Berry JD, Katz R, de Lemos JA, Bansal N, Garimella PS, Hallan SI, Wettersten N, Jotwani VK, Killeen AA, Ix JH, Shlipak MG. Changes in Natriuretic Peptide Levels and Subsequent Kidney Function Decline in SPRINT. Am J Kidney Dis 2024; 83:615-623.e1. [PMID: 37992982 DOI: 10.1053/j.ajkd.2023.09.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 08/03/2023] [Accepted: 09/17/2023] [Indexed: 11/24/2023]
Abstract
RATIONALE & OBJECTIVE Novel approaches to the assessment of kidney disease risk during hypertension treatment are needed because of the uncertainty of how intensive blood pressure (BP) lowering impacts kidney outcomes. We determined whether longitudinal N-terminal pro-B-type natriuretic peptide (NT-proBNP) measurements during hypertension treatment are associated with kidney function decline. STUDY DESIGN Prospective observational study. SETTING & PARTICIPANTS 8,005 SPRINT (Systolic Blood Pressure Intervention Trial) participants with NT-proBNP measurements at baseline and 1 year. EXPOSURE 1-year change in NT-proBNP categorized as a ≥25% decrease, ≥25% increase, or <25% change (stable). OUTCOME Annualized change in estimated glomerular filtration rate (eGFR) and ≥30% decrease in eGFR. ANALYTICAL APPROACH Linear mixed-effect and logistic regression models were used to evaluate the association of changes in NT-proBNP with subsequent annualized change in eGFR and ≥30% decrease in eGFR, respectively. Analyses were stratified by baseline chronic kidney disease (CKD) status. RESULTS Compared with stable 1-year NT-proBNP levels, a ≥25% decrease in NT-proBNP was associated with a slower decrease in eGFR in participants with CKD (adjusted difference, 1.09%/y; 95% CI, 0.35-1.83) and without CKD (adjusted difference, 0.51%/y; 95% CI, 0.21-0.81; P = 0.4 for interaction). Meanwhile, a ≥25% increase in NT-proBNP in participants with CKD was associated with a faster decrease in eGFR (adjusted difference, -1.04%/y; 95% CI, -1.72 to -0.36) and risk of a ≥30% decrease in eGFR (adjusted odds ratio, 1.44; 95% CI, 1.06-1.96); associations were stronger in participants with CKD than in participants without CKD (P = 0.01 and P < 0.001 for interaction, respectively). Relationships were similar irrespective of the randomized BP arm in SPRINT (P > 0.2 for interactions). LIMITATIONS Persons with diabetes and proteinuria >1 g/d were excluded. CONCLUSIONS Changes in NT-proBNP during BP treatment are independently associated with subsequent kidney function decline, particularly in people with CKD. Future studies should assess whether routine NT-proBNP measurements may be useful in monitoring kidney risk during hypertension treatment. PLAIN-LANGUAGE SUMMARY N-terminal pro-B-type natriuretic peptide (NT-proBNP) is a biomarker in the blood that reflects mechanical stress on the heart. Measuring NT-proBNP may be helpful in assessing the risk of long-term losses of kidney function. In this study, we investigated the association of changes in NT-proBNP with subsequent kidney function among individuals with and without chronic kidney disease. We found that increases in NT-proBNP are associated with a faster rate of decline of kidney function, independent of baseline kidney measures. The associations were more pronounced in individuals with chronic kidney disease. Our results advance the notion of considering NT-proBNP as a dynamic tool for assessing kidney disease risk.
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Affiliation(s)
- Simon B Ascher
- Kidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Health Care System and University of California San Francisco, San Francisco; Division of Hospital Medicine, University of California, Davis, Sacramento.
| | - Jarett D Berry
- Divison of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX
| | - Ronit Katz
- Department of Obstetrics and Gynecology, University of Washington, Seattle, WA
| | - James A de Lemos
- Divison of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX
| | - Nisha Bansal
- Kidney Research Institute, Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA
| | - Pranav S Garimella
- Division of Nephrology-Hypertension, University of California, San Diego, La Jolla
| | - Stein I Hallan
- Department of Clinical and Molecular Medicine, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway; Department of Nephrology, St Olav University Hospital, Trondheim, Norway
| | - Nicholas Wettersten
- Division of Cardiology, Department of Medicine, University of California, San Diego, La Jolla; Cardiology Section, Veterans Affairs San Diego Healthcare System, San Diego, CA
| | - Vasantha K Jotwani
- Kidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Health Care System and University of California San Francisco, San Francisco
| | - Anthony A Killeen
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | - Joachim H Ix
- Division of Nephrology-Hypertension, University of California, San Diego, La Jolla; Nephrology Section, Veterans Affairs San Diego Healthcare System, San Diego, CA
| | - Michael G Shlipak
- Kidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Health Care System and University of California San Francisco, San Francisco
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Jotwani V, Thiessen-Philbrook H, Arking DE, Yang SY, McArthur E, Garg AX, Katz R, Tranah GJ, Ix JH, Cummings S, Waikar SS, Sarnak MJ, Shlipak MG, Parikh SM, Parikh CR. Association of Blood Mitochondrial DNA Copy Number With Risk of Acute Kidney Injury After Cardiac Surgery. Am J Kidney Dis 2024:S0272-6386(24)00719-4. [PMID: 38640995 DOI: 10.1053/j.ajkd.2024.03.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 02/12/2024] [Accepted: 03/01/2024] [Indexed: 04/21/2024]
Affiliation(s)
- Vasantha Jotwani
- Kidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Health Care System and University of California San Francisco, San Francisco, CA, USA.
| | | | - Dan E Arking
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD USA
| | - Stephanie Y Yang
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD USA
| | - Eric McArthur
- ICES, Ontario, Canada, Lawson Health Research Institute, London Health Sciences Centre, London, Ontario, Canada
| | - Amit X Garg
- ICES, Ontario, Canada, Lawson Health Research Institute, London Health Sciences Centre, London, Ontario, Canada; Division of Nephrology, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada; Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Ronit Katz
- Department of Obstetrics and Gynecology, University of Washington, Seattle, WA
| | - Gregory J Tranah
- California Pacific Medical Center Research Institute, San Francisco, California, USA
| | - Joachim H Ix
- Division of Nephrology-Hypertension, University of California San Diego, and Veterans Affairs San Diego Healthcare System, San Diego, CA
| | - Steve Cummings
- Kidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Health Care System and University of California San Francisco, San Francisco, CA, USA
| | - Sushrut S Waikar
- Section of Nephrology, Department of Medicine, Boston University School of Medicine and Boston Medical Center, Boston, MA
| | - Mark J Sarnak
- Division of Nephrology, Tufts Medical Center, Boston, Massachusetts, USA
| | - Michael G Shlipak
- Kidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Health Care System and University of California San Francisco, San Francisco, CA, USA
| | - Samir M Parikh
- Division of Nephrology, Department of Medicine, and Department of Pharmacology, University of Texas Southwestern Medical School, Dallas, TX, USA
| | - Chirag R Parikh
- Division of Nephrology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
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Wang M, Tang WHW, Li XS, de Oliveira Otto MC, Lee Y, Lemaitre RN, Fretts A, Nemet I, Sotoodehnia N, Sitlani CM, Budoff M, DiDonato JA, Wang Z, Bansal N, Shlipak MG, Psaty BM, Siscovick DS, Sarnak MJ, Mozaffarian D, Hazen SL. The Gut Microbial Metabolite Trimethylamine N-oxide, Incident CKD, and Kidney Function Decline. J Am Soc Nephrol 2024:00001751-990000000-00282. [PMID: 38593157 DOI: 10.1681/asn.0000000000000344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Accepted: 04/01/2024] [Indexed: 04/11/2024] Open
Abstract
BACKGROUND Trimethylamine N-oxide (TMAO) is a gut microbiota-derived metabolite of dietary phosphatidylcholine and carnitine. Experimentally, TMAO causes kidney injury and tubulointerstitial fibrosis. Little is known about prospective associations between TMAO and kidney outcomes, especially incident CKD. We hypothesized that higher plasma TMAO levels would be associated with higher risk of incident CKD and greater rate of kidney function decline. METHODS We included 10,564 participants from two community-based, prospective cohorts with estimated glomerular filtration rate (eGFR) ≥ 60 mL/min/1.73m2 to assess incident CKD. TMAO was measured using targeted mass spectrometry at baseline and one follow-up visit. Creatinine and Cystatin C were measured up to 4 times during follow-up and used to compute eGFR. Incident CKD was defined as an eGFR decline ≥ 30% from baseline and a resulting eGFR<60 ml/min/1.73 m2. Time-varying Cox models assessed the association of serial TMAO measures with incident CKD, adjusting for sociodemographic, lifestyle, diet, and cardiovascular disease risk factors. Linear mixed models assessed the association with annualized eGFR change in 10,009 participants with at least one follow-up eGFR measure without exclusions for baseline eGFR levels. RESULTS During a median follow-up of 9.4 years (interquartile range: 9.1-11.6 years), 979 incident CKD events occurred. Higher TMAO levels associated with higher risk of incident CKD (2nd to 5th vs. 1st quintile HR[95%CI]= 1.65 [1.22-2.23], 1.68 [1.26-2.25], 2.28 [1.72-3.02], and 2.24[1.68-2.98], respectively) and greater annualized eGFR decline ( 2nd to 5th vs. 1st quintile annualized eGFR change= -0.21 [-0.32, -0.09], -0.17 [-0.29, -0.05], -0.35 [-0.47, -0.22], and -0.43[-0.56, -0.30], respectively) with monotonic dose-response relationships. These associations were consistent across different racial/ethnic groups examined. The association with eGFR decline was similar to or larger than that seen for established CKD risk factors including diabetes, per 10 mmHg of higher systolic blood pressure, per 10 years of older age, and Black race. CONCLUSIONS In community-based US adults, higher serial measures of plasma TMAO were associated with higher risk of incident CKD and greater annualized kidney function decline.
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Affiliation(s)
- Meng Wang
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA
| | - W H Wilson Tang
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland, OH
- Center for Microbiome and Human Health, Lerner Research Institute, Cleveland, OH
- Department of Cardiovascular Medicine, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH
| | - Xinmin S Li
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland, OH
- Center for Microbiome and Human Health, Lerner Research Institute, Cleveland, OH
| | - Marcia C de Oliveira Otto
- Division of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Houston, TX
| | - Yujin Lee
- Department of Food and Nutrition, Myongji University, Yongin, South Korea
| | - Rozenn N Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
| | - Amanda Fretts
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
- Department of Epidemiology, University of Washington, Seattle, WA
| | - Ina Nemet
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland, OH
- Center for Microbiome and Human Health, Lerner Research Institute, Cleveland, OH
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
| | - Colleen M Sitlani
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
| | - Matthew Budoff
- Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA
| | - Joseph A DiDonato
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland, OH
- Center for Microbiome and Human Health, Lerner Research Institute, Cleveland, OH
| | - Zeneng Wang
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland, OH
- Center for Microbiome and Human Health, Lerner Research Institute, Cleveland, OH
| | - Nisha Bansal
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA
| | - Michael G Shlipak
- Kidney Health Research Collaborative and Department of Medicine, San Francisco Veterans Administration Medical Center and University of California-San Francisco, San Francisco, CA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
- Department of Epidemiology, University of Washington, Seattle, WA
- Department of Health Systems and Population Health, University of Washington, Seattle, WA
| | | | - Mark J Sarnak
- Department of Medicine (Nephrology), Tufts University School of Medicine, Boston MA
| | - Dariush Mozaffarian
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA
| | - Stanley L Hazen
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland, OH
- Center for Microbiome and Human Health, Lerner Research Institute, Cleveland, OH
- Department of Cardiovascular Medicine, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH
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Chen DC, Scherzer R, Ix JH, Kramer HJ, Crews DC, Nadkarni G, Gutierrez O, Bullen AL, Ilori T, Garimella PS, Shlipak MG, Estrella MM. Modification of Association of Cystatin C With Kidney and Cardiovascular Outcomes by Obesity. Am J Kidney Dis 2024; 83:489-496.e1. [PMID: 37866793 PMCID: PMC10960714 DOI: 10.1053/j.ajkd.2023.08.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 08/01/2023] [Accepted: 08/14/2023] [Indexed: 10/24/2023]
Abstract
RATIONALE & OBJECTIVE Cystatin C-based estimated glomerular filtration rate (eGFRcys) has stronger associations with adverse clinical outcomes than creatinine-based eGFR (eGFRcr). Obesity may be associated with higher cystatin C levels, independent of kidney function, but it is unknown whether obesity modifies associations of eGFRcys with kidney and cardiovascular outcomes. STUDY DESIGN Cohort study. SETTING & PARTICIPANTS 27,249 US adults in the Reasons for Geographic and Racial Differences in Stroke Study. PREDICTORS eGFRcys, eGFRcr, waist circumference, and body mass index (BMI). OUTCOME All-cause mortality, kidney failure, incident atherosclerotic cardiovascular disease (ASCVD), and incident heart failure (HF). ANALYTICAL APPROACH Multivariable Cox and Fine-Gray models with multiplicative interaction terms were constructed to investigate whether waist circumference quartiles or BMI categories modified associations of eGFRcys with risks of 4 clinical outcomes. RESULTS Participants had a mean age of 65 years; 54% were women, 41% were Black, and 21% had an eGFRcys<60mL/min/1.73m2. The baseline prevalence of abdominal obesity (waist circumference≥88cm for women or≥102cm for men) was 48% and obesity was 38%. In multivariable adjusted analyses, each 15mL/min/1.73m2 lower eGFRcys was associated with higher HR and 95% CI of mortality in each waist circumference quartile (first quartile, 1.19 [1.15-1.24]; second quartile, 1.22 [1.18-1.26]; third quartile, 1.20 [1.16-1.24]; fourth quartile, 1.19 [1.15-1.23]) as well as within each BMI category (BMI<24.9: 1.21 [1.17-1.25]; BMI 25.0-29.9: 1.21 [1.18-1.25]; BMI 30.0-34.9: 1.20 [1.16-1.25]; BMI≥35: 1.17, [1.12-1.22]). Neither waist circumference nor BMI modified the association of eGFRcys with mortality, kidney failure, incident ASCVD, or incident HF (all Pinteraction>0.05). LIMITATIONS Included only Black and White persons in the United States. CONCLUSION Obesity did not modify the association of eGFRcys with all-cause mortality, kidney failure, incident ASCVD, or incident HF. Among individuals with obesity, cystatin C may be used to provide eGFR-based risk prognostication for adverse outcomes. PLAIN-LANGUAGE SUMMARY Cystatin C is increasingly used in clinical practice to estimate kidney function, and cystatin C-based eGFR (eGFRcys) may be used to determine risk for adverse clinical outcomes. Adiposity may increase serum levels of cystatin C, independent of kidney function. This cohort study investigated whether associations of eGFRcys with adverse kidney and cardiovascular outcomes are modified by measures of obesity, waist circumference, and body mass index. We found that obesity does not modify associations of eGFRcys with 4 clinical outcomes and conclude that among individuals with obesity, cystatin C may be used to provide eGFR-based risk prognostication for adverse outcomes.
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Affiliation(s)
- Debbie C Chen
- Division of Nephrology, Department of Medicine, University of California at San Francisco, San Francisco; Kidney Health Research Collaborative, San Francisco VA Medical Center & University of California, San Francisco; Genentech, Inc., South San Francisco
| | - Rebecca Scherzer
- Kidney Health Research Collaborative, San Francisco VA Medical Center & University of California, San Francisco; Department of Medicine, San Francisco VA Medical Center, San Francisco
| | - Joachim H Ix
- Division of Nephrology-Hypertension, University of California at San Diego, San Diego; Nephrology Section, Veterans Affairs San Diego Healthcare System, San Dieg, California
| | - Holly J Kramer
- Division of Nephrology and Hypertension, Loyola University Medical Center, Maywood, Illinois
| | - Deidra C Crews
- Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Girish Nadkarni
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York; Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York; Division of Data Driven and Digital Medicine, Icahn School of Medicine at Mount Sinai, New York, New York; Mount Sinai Clinical Intelligence Cente, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Orlando Gutierrez
- Division of Nephrology, UAB Heersink School of Medicine, Birmingham, Alabama
| | - Alexander L Bullen
- Division of Nephrology-Hypertension, University of California at San Diego, San Diego; Nephrology Section, Veterans Affairs San Diego Healthcare System, San Dieg, California
| | - Titilayo Ilori
- Section of Nephrology, Department of Medicine, Boston Medical Center, School of Medicine, Boston University, Boston, Massachusetts
| | - Pranav S Garimella
- Division of Nephrology-Hypertension, University of California at San Diego, San Diego
| | - Michael G Shlipak
- Department Epidemiology and Biostatistics, University of California at San Francisco, San Francisco; Kidney Health Research Collaborative, San Francisco VA Medical Center & University of California, San Francisco; Department of Medicine, San Francisco VA Medical Center, San Francisco
| | - Michelle M Estrella
- Division of Nephrology, Department of Medicine, University of California at San Francisco, San Francisco; Kidney Health Research Collaborative, San Francisco VA Medical Center & University of California, San Francisco; Division of Nephrology, San Francisco VA Medical Center, San Francisco; Department of Medicine, San Francisco VA Medical Center, San Francisco.
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Chen DC, Lu K, Scherzer R, Lees JS, Rutherford E, Mark PB, Potok OA, Rifkin DE, Ix JH, Shlipak MG, Estrella MM. Cystatin C- and Creatinine-based Estimated GFR Differences: Prevalence and Predictors in the UK Biobank. Kidney Med 2024; 6:100796. [PMID: 38567244 PMCID: PMC10986041 DOI: 10.1016/j.xkme.2024.100796] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2024] Open
Abstract
Rationale & Objective Large differences between estimated glomerular filtration rate (eGFR) based on cystatin C (eGFRcys) and creatinine (eGFRcr) occur commonly. A comprehensive evaluation of factors that contribute to these differences is needed to guide the interpretation of discrepant eGFR values. Study Design Cohort study. Setting & Participants 468,969 participants in the UK Biobank. Exposures Candidate sociodemographic, lifestyle factors, comorbidities, medication usage, and physical and laboratory predictors. Outcomes eGFRdiff, defined as eGFRcys minus eGFRcr, categorized into 3 levels: lower eGFRcys (eGFRdiff, less than -15 mL/min/1.73 m2), concordant eGFRcys and eGFRcr (eGFRdiff, -15 to < 15 mL/min/1.73 m2), and lower eGFRcr (eGFRdiff, ≥15 mL/min/1.73 m2). Analytical Approach Multinomial logistic regression models were constructed to identify predictors of lower eGFRcys or lower eGFRcr. We developed 2 prediction models comprising 375,175 participants: (1) a clinical model using clinically available variables and (2) an enriched model additionally including lifestyle variables. The models were internally validated in an additional 93,794 participants. Results Mean ± standard deviation of eGFRcys was 88 ± 16 mL/min/1.73 m2, and eGFRcr was 95 ± 13 mL/min/1.73 m2; 25% and 5% of participants were in the lower eGFRcys and lower eGFRcr groups, respectively. In the multivariable enriched model, strong predictors of lower eGFRcys were older age, male sex, South Asian ethnicity, current smoker (vs never smoker), history of thyroid dysfunction, chronic inflammatory disease, steroid use, higher waist circumference and body fat, and urinary albumin-creatinine ratio >300 mg/g. Odds ratio estimates for these predictors were largely inverse of those in the lower eGFRcr group. The model's area under the curve was 0.75 in the validation set, with good calibration (1.00). Limitations Limited generalizability. Conclusions This study highlights the multitude of demographic, lifestyle, and health characteristics that are associated with large eGFRdiff. The clinical model may identify individuals who are likely to have discrepant eGFR values and thus should be prioritized for cystatin C testing.
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Affiliation(s)
- Debbie C. Chen
- Division of Nephrology, Department of Medicine, University of California, San Francisco, San Francisco, CA
- Kidney Health Research Collaborative, San Francisco VA Health Care System & University of California, San Francisco, San Francisco, CA
- Genentech, Inc., South San Francisco, CA
| | - Kaiwei Lu
- Kidney Health Research Collaborative, San Francisco VA Health Care System & University of California, San Francisco, San Francisco, CA
- Department of Medicine, San Francisco VA Health Care System, San Francisco, CA
| | - Rebecca Scherzer
- Kidney Health Research Collaborative, San Francisco VA Health Care System & University of California, San Francisco, San Francisco, CA
- Department of Medicine, San Francisco VA Health Care System, San Francisco, CA
| | - Jennifer S. Lees
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
- Glasgow Renal and Transplant Unit, Queen Elizabeth University Hospital, Glasgow, UK
| | - Elaine Rutherford
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
- Renal Unit, Mountainhall Treatment Centre, NHS Dumfries and Galloway, Dumfries, UK
| | - Patrick B. Mark
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
- Glasgow Renal and Transplant Unit, Queen Elizabeth University Hospital, Glasgow, UK
| | - O. Alison Potok
- Division of Nephrology and Hypertension, Department of Medicine, University of California, San Diego, San Diego, CA
- Nephrology Section, Veterans Affairs San Diego Healthcare System, San Diego, CA
| | - Dena E. Rifkin
- Division of Nephrology and Hypertension, Department of Medicine, University of California, San Diego, San Diego, CA
- Nephrology Section, Veterans Affairs San Diego Healthcare System, San Diego, CA
| | - Joachim H. Ix
- Division of Nephrology and Hypertension, Department of Medicine, University of California, San Diego, San Diego, CA
- Nephrology Section, Veterans Affairs San Diego Healthcare System, San Diego, CA
| | - Michael G. Shlipak
- Kidney Health Research Collaborative, San Francisco VA Health Care System & University of California, San Francisco, San Francisco, CA
- Department of Medicine, San Francisco VA Health Care System, San Francisco, CA
- Department Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA
| | - Michelle M. Estrella
- Division of Nephrology, Department of Medicine, University of California, San Francisco, San Francisco, CA
- Kidney Health Research Collaborative, San Francisco VA Health Care System & University of California, San Francisco, San Francisco, CA
- Department of Medicine, San Francisco VA Health Care System, San Francisco, CA
- Division of Nephrology, Department of Medicine, San Francisco VA Health Care System, San Francisco, CA
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8
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Venishetty N, Berry JD, de Lemos JA, Wu E, Lee MJ, Drawz PE, Nambi V, Ballantyne CM, Killeen AA, Ix JH, Shlipak MG, Ascher SB. Associations of ambulatory blood pressure measurements with high-sensitivity troponin and natriuretic peptide levels in SPRINT. Am J Hypertens 2024:hpae035. [PMID: 38554284 DOI: 10.1093/ajh/hpae035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Indexed: 04/01/2024] Open
Abstract
BACKGROUND Nighttime blood pressure (BP) has greater prognostic importance for cardiovascular disease (CVD) than daytime BP, but less is known about nighttime and daytime BP associations with measures of subclinical CVD. METHODS Among 897 Systolic Blood Pressure Intervention Trial Study (SPRINT) participants with 24-hour ambulatory BP monitoring obtained near the 27-month study visit, 849 (95%) had N-terminal pro-B-type natriuretic peptide (NT-proBNP) and high-sensitivity cardiac troponin T (hs-cTnT) measured at the 24-month study visit. Multivariable linear regression analyses were performed to evaluate the associations of nighttime and daytime BP with cardiac biomarker levels. RESULTS Mean age was 69 ±12 years, 28% were African American, and mean nighttime and daytime SBP were 121 ±16 mm Hg and 132 ±14 mm Hg, respectively. In multivariable models, compared with the lowest tertile of nighttime systolic BP, the highest tertile was associated with 48% higher NT-proBNP levels (adjusted geometric mean ratio [GMR] = 1.48, 95% CI: 1.22, 1.79), and 19% higher hs-cTnT levels (adjusted GMR = 1.19, 95% CI: 1.07, 1.32). In contrast, the highest versus lowest tertile of daytime systolic BP was not associated with NT-proBNP (adjusted GMR = 1.09, 95% CI: 0.88, 1.34) but was associated with 16% higher hs-cTnT levels (adjusted GMR = 1.16, 95% CI: 1.04, 1.30). Similar results were observed using diastolic BP. CONCLUSION In SPRINT, both higher nighttime and daytime BP were independently associated with higher hs-cTnT levels, but only higher nighttime BP was associated with higher NT-proBNP levels.
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Affiliation(s)
- Nikit Venishetty
- Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, TX
| | - Jarett D Berry
- Department of Internal Medicine, University of Texas at Tyler Health Science Center, Tyler, TX
| | - James A de Lemos
- Department of Cardiology, Division of Cardiology, the University of Texas at Southwestern Medical School, Dallas, TX
| | - Elaine Wu
- Department of Cardiology, Division of Cardiology, the University of Texas at Southwestern Medical School, Dallas, TX
| | - Min Jae Lee
- Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX
| | - Paul E Drawz
- Division of Nephrology and Hypertension, University of Minnesota Medical School, Minneapolis, MN
| | - Vijay Nambi
- Department of Medicine and Center for Cardiometabolic Disease Prevention, Baylor College of Medicine, Houston, TX
- Department of Medicine, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX
| | - Christie M Ballantyne
- Department of Medicine and Center for Cardiometabolic Disease Prevention, Baylor College of Medicine, Houston, TX
| | - Anthony A Killeen
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School
| | - Joachim H Ix
- Nephrology Section, Veterans Affairs San Diego Healthcare System, San Diego, CA
- Division of Nephrology-Hypertension, University of California San Diego, San Diego, CA
| | - Michael G Shlipak
- Kidney Health Research Collaborative, San Francisco Veterans Affairs Health Care System and UCSF, San Francisco, CA
| | - Simon B Ascher
- Kidney Health Research Collaborative, San Francisco Veterans Affairs Health Care System and UCSF, San Francisco, CA
- Division of Hospital Medicine, University of California Davis, Sacramento, CA
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9
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Bansal N, Katz R, Seliger S, deFilippi C, Wettersten N, de Lemos JA, Christenson R, Killeen AA, Berry JD, Shlipak MG, Ix JH. Variation of NT-proBNP and High-Sensitivity Cardiac Troponin T Across Levels of Estimated Glomerular Filtration Rate: The SPRINT Trial. Circulation 2024; 149:967-969. [PMID: 38498611 PMCID: PMC10954091 DOI: 10.1161/circulationaha.123.066377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/20/2024]
Affiliation(s)
- Nisha Bansal
- Division of Nephrology, University of Washington, Seattle, WA
| | - Ronit Katz
- Department of Obstetrics and Gynecology, University of Washington, Seattle, WA
| | - Stephen Seliger
- Division of Nephrology, University of Maryland School of Medicine, Baltimore, MD
| | | | - Nicholas Wettersten
- Division of Cardiology, VA San Diego Healthcare System, San Diego, San Diego, CA
| | - James A. de Lemos
- Division of Cardiology, University of Texas, Southwestern, Dallas, TX
| | | | - Anthony A. Killeen
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | - Jarett D. Berry
- Division of Cardiology, University of Texas, Southwestern, Dallas, TX
| | - Michael G. Shlipak
- Department of Medicine, University of California San Francisco, and San Francisco Veterans Affairs Hospital, San Francisco, CA
| | - Joachim H. Ix
- Division of Nephrology, University of California San Diego, and Veterans Affairs San Diego Healthcare System, San Diego, CA
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10
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Smith C, Berry JD, Scherzer R, de Lemos JA, Nambi V, Ballantyne CM, Kravitz RL, Killeen AA, Ix JH, Shlipak MG, Ascher SB. Intensive Blood Pressure Lowering in Individuals With Low Diastolic Blood Pressure and Elevated Troponin Levels in SPRINT. J Am Heart Assoc 2024; 13:e032493. [PMID: 38497469 PMCID: PMC11010028 DOI: 10.1161/jaha.123.032493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 02/19/2024] [Indexed: 03/19/2024]
Abstract
BACKGROUND Among individuals with hypertension and low diastolic blood pressure (DBP), the optimal BP target remains controversial due to concerns that BP lowering may reduce coronary perfusion. We determined the impact of intensive BP control among individuals with elevated systolic BP who have low DBP and elevated hs-cTnT (high-sensitivity cardiac troponin T) levels. METHODS AND RESULTS A total of 8828 participants in SPRINT (Systolic Blood Pressure Intervention Trial) were stratified by baseline DBP. Those with low DBP (<70 mm Hg) were further stratified by elevated hs-cTnT (≥14 ng/L) at baseline. The effects of intensive versus standard BP lowering on a cardiovascular disease composite end point, all-cause death, and 1-year change in hs-cTnT were determined. The combination of low DBP/high hs-cTnT was independently associated with a higher risk for cardiovascular disease and all-cause death, as well as greater 1-year increases in hs-cTnT, compared with DBP ≥70 mm Hg. However, randomization to intensive versus standard BP lowering led to similar reductions in cardiovascular disease risk among individuals with low DBP/high hs-cTnT (hazard ratio [HR], 0.82 [95% CI, 0.57-1.19]), low DBP/low hs-cTnT (HR, 0.48 [95% CI, 0.29-0.79]), and DBP ≥70 mm Hg (HR, 0.73 [95% CI, 0.60-0.89]; P for interaction=0.20). Intensive BP lowering also led to a reduction in all-cause death that was similar across groups (P for interaction=0.57). CONCLUSIONS In this nonprespecified subgroup analysis of SPRINT, individuals with low DBP and elevated hs-cTnT, low DBP and nonelevated hs-cTnT, and DBP ≥70 mm Hg derived similar cardiovascular disease and mortality benefits from intensive BP lowering. These findings warrant confirmation in other studies.
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Affiliation(s)
- Cady Smith
- Department of Internal Medicine University of California Davis Sacramento CA USA
| | - Jarett D Berry
- Department of Internal Medicine University of Texas at Tyler Health Science Center Tyler TX USA
| | - Rebecca Scherzer
- Kidney Health Research Collaborative, Department of Medicine San Francisco Veterans Affairs Health Care System and University of California San Francisco San Francisco CA USA
| | - James A de Lemos
- Divison of Cardiology, Department of Internal Medicine University of Texas Southwestern Medical Center Dallas TX USA
| | - Vijay Nambi
- Michael E DeBakey Veterans Affairs Hospital and Baylor College of Medicine Houston TX USA
| | - Christie M Ballantyne
- Department of Medicine and Center for Cardiometabolic Disease Prevention Baylor College of Medicine Houston TX USA
| | - Richard L Kravitz
- Department of Internal Medicine University of California Davis Sacramento CA USA
| | - Anthony A Killeen
- Department of Laboratory Medicine and Pathology University of Minnesota Minneapolis MN USA
| | - Joachim H Ix
- Division of Nephrology-Hypertension University of California San Diego La Jolla CA USA
- Nephrology Section Veterans Affairs San Diego Healthcare System San Diego CA USA
| | - Michael G Shlipak
- Kidney Health Research Collaborative, Department of Medicine San Francisco Veterans Affairs Health Care System and University of California San Francisco San Francisco CA USA
| | - Simon B Ascher
- Department of Internal Medicine University of California Davis Sacramento CA USA
- Kidney Health Research Collaborative, Department of Medicine San Francisco Veterans Affairs Health Care System and University of California San Francisco San Francisco CA USA
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11
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Lai M, Madden E, Shlipak MG, Scherzer R, Post WS, Vittinghoff E, Haberlen S, Brown TT, Wolinsky SM, Witt MD, Ho K, Abraham AG, Parikh CR, Budoff M, Estrella MM. Association of urine biomarkers of kidney health with subclinical cardiovascular disease among men with and without HIV. AIDS 2024; 38:465-475. [PMID: 37861689 PMCID: PMC10922264 DOI: 10.1097/qad.0000000000003761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2023]
Abstract
OBJECTIVE The aim of this study was to determine whether urine biomarkers of kidney health are associated with subclinical cardiovascular disease among men with and without HIV. DESIGN A cross-sectional study within the Multicenter AIDS Cohort Study (MACS) among 504 men with and without HIV infection who underwent cardiac computed tomography scans and had urine biomarkers measured within the preceding 2 years. METHODS Our primary predictors were four urine biomarkers of endothelial (albuminuria), proximal tubule dysfunction (alpha-1-microglobulin [A1 M] and injury (kidney injury molecule-1 [KIM-1]) and tubulointerstitial fibrosis (pro-collagen-III N-terminal peptide [PIIINP]). These were evaluated for association with coronary artery calcium (CAC) prevalence, CAC extent, total plaque score, and total segment stenosis using multivariable regression. RESULTS Of the 504 participants, 384 were men with HIV (MWH) and 120 were men without HIV. In models adjusted for sociodemographic factors, cardiovascular disease risk factors, eGFR, and HIV-related factors, each two-fold higher concentration of albuminuria was associated with a greater extent of CAC (1.35-fold higher, 95% confidence interval 1.11-1.65), and segment stenosis (1.08-fold greater, 95% confidence interval 1.01-1.16). Associations were similar between MWH and men without HIV in stratified analyses. The third quartile of A1 M showed an association with greater CAC extent, total plaque score, and total segment stenosis, compared with the lowest quartile. CONCLUSION Worse endothelial and proximal tubule dysfunction, as reflected by higher urine albumin and A1 M, were associated with greater CAC extent and coronary artery stenosis.
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Affiliation(s)
- Mason Lai
- Kidney Health Research Collaborative, Department of Medicine, University of California San Francisco
- Department of Medicine, University of California San Francisco
| | - Erin Madden
- Kidney Health Research Collaborative, Department of Medicine, University of California San Francisco
- San Francisco VA Healthcare System, San Francisco, California
| | - Michael G Shlipak
- Kidney Health Research Collaborative, Department of Medicine, University of California San Francisco
- Department of Medicine, University of California San Francisco
- San Francisco VA Healthcare System, San Francisco, California
| | - Rebecca Scherzer
- Kidney Health Research Collaborative, Department of Medicine, University of California San Francisco
- San Francisco VA Healthcare System, San Francisco, California
| | - Wendy S Post
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health
| | - Eric Vittinghoff
- Kidney Health Research Collaborative, Department of Medicine, University of California San Francisco
| | - Sabina Haberlen
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health
| | - Todd T Brown
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Steven M Wolinsky
- Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Mallory D Witt
- Lundquist Institute of Biomedical Research at Harbor-UCLA Medical Center, Torrance, California
| | - Ken Ho
- Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Alison G Abraham
- Department of Epidemiology, Colorado School of Public Health, Aurora, Colorado
| | - Chirag R Parikh
- Department of Medicine, Division of Nephrology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Matthew Budoff
- Lundquist Institute of Biomedical Research at Harbor-UCLA Medical Center, Torrance, California
| | - Michelle M Estrella
- Kidney Health Research Collaborative, Department of Medicine, University of California San Francisco
- San Francisco VA Healthcare System, San Francisco, California
- Department of Medicine, Division of Nephrology, University of California San Francisco, San Francisco, California, USA
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12
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Peschard VG, Scherzer R, Katz R, Chen TK, Bullen AL, Campos K, Estrella MM, Ix JH, Shlipak MG. Association of Urinary Dickkopf-3 Levels with Cardiovascular Events and Kidney Disease Progression in Systolic Blood Pressure Intervention Trial. Kidney360 2024:02200512-990000000-00356. [PMID: 38472135 DOI: 10.34067/kid.0000000000000413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2024] [Accepted: 02/29/2024] [Indexed: 03/14/2024]
Abstract
BACKGROUND Urinary Dickkopf-3 (uDKK3) is a tubular epithelial-derived profibrotic protein secreted into the urine under tubular stress. It is associated with kidney disease progression in persons with chronic kidney disease (CKD) and diabetes, and post-operative and contrast-associated acute kidney injury (AKI). We explored associations of uDKK3 with cardiovascular disease (CVD), kidney and mortality outcomes within the subset of Systolic Blood Pressure Intervention Trial (SPRINT) participants with non-diabetic CKD. METHODS We included 2,344 participants with estimated glomerular filtration rate (eGFR) <60 ml/min/1.73 m2 at baseline. We used Cox proportional hazards models to evaluate associations of uDKK3 with CVD (acute decompensated heart failure, myocardial infarction, acute coronary syndrome, stroke or CVD death), kidney outcomes (incident end stage kidney disease [ESKD], incident AKI, and eGFR decline ≥30%), and all-cause mortality. We used linear mixed models to examine the association of uDKK3 with annual percentage change in eGFR. Models were adjusted for demographic and clinical characteristics, eGFR and albuminuria. RESULTS Over a median follow up of 3.5 years, there were 292 CVD, 73 ESKD, 183 AKI, 471 eGFR decline, and 228 mortality events. In multivariable models without adjustment for eGFR and albuminuria, uDKK3 was strongly associated with CVD, ESKD, AKI, eGFR decline ≥30%, and mortality. However, after further adjustment for eGFR and albuminuria, uDKK3 was no longer associated with risks for composite CVD (hazard ratio [HR] 1.07, 95% confidence interval [CI] 0.92-1.23), ESKD (0.80; 0.62-1.02), AKI (1.01; 0.85-1.21), eGFR decline >30% (0.88; 0.79-0.99) or mortality (1.02; 0.87-1.20). For the linear eGFR change outcome, higher uDKK3 also had no association in the fully adjusted model (-0.03; -0.41-0.36). CONCLUSIONS Among individuals with hypertension and non-diabetic CKD, higher uDKK3 appeared to have associations with a greater risk of CVD events, incident ESKD, incident AKI, eGFR decline ≥30%, and mortality, but was not independent of eGFR and albuminuria.
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Affiliation(s)
- Vanessa-Giselle Peschard
- University of California, San Francisco, California
- Kidney Health Research Collaborative, San Francisco Veterans Affairs Medical Center, San Francisco, California
| | - Rebecca Scherzer
- University of California, San Francisco, California
- Kidney Health Research Collaborative, San Francisco Veterans Affairs Medical Center, San Francisco, California
| | - Ronit Katz
- University of Washington, Seattle, Washington
| | - Teresa K Chen
- University of California, San Francisco, California
- Kidney Health Research Collaborative, San Francisco Veterans Affairs Medical Center, San Francisco, California
| | | | - Kasey Campos
- Kidney Health Research Collaborative, San Francisco Veterans Affairs Medical Center, San Francisco, California
| | - Michelle M Estrella
- University of California, San Francisco, California
- Kidney Health Research Collaborative, San Francisco Veterans Affairs Medical Center, San Francisco, California
| | - Joachim H Ix
- University of California, San Diego, California
- Veterans Affairs San Diego Healthcare System, San Diego, California
| | - Michael G Shlipak
- University of California, San Francisco, California
- Kidney Health Research Collaborative, San Francisco Veterans Affairs Medical Center, San Francisco, California
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13
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Fino NF, Adingwupu OM, Coresh J, Greene T, Haaland B, Shlipak MG, Costa E Silva VT, Kalil R, Mindikoglu AL, Furth SL, Seegmiller JC, Levey AS, Inker LA. Evaluation of novel candidate filtration markers from a global metabolomic discovery for glomerular filtration rate estimation. Kidney Int 2024; 105:582-592. [PMID: 38006943 PMCID: PMC10932836 DOI: 10.1016/j.kint.2023.11.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 10/31/2023] [Accepted: 11/10/2023] [Indexed: 11/27/2023]
Abstract
Creatinine and cystatin-C are recommended for estimating glomerular filtration rate (eGFR) but accuracy is suboptimal. Here, using untargeted metabolomics data, we sought to identify candidate filtration markers for a new targeted assay using a novel approach based on their maximal joint association with measured GFR (mGFR) and with flexibility to consider their biological properties. We analyzed metabolites measured in seven diverse studies encompasing 2,851 participants on the Metabolon H4 platform that had Pearson correlations with log mGFR and used a stepwise approach to develop models to < -0.5 estimate mGFR with and without inclusion of creatinine that enabled selection of candidate markers. In total, 456 identified metabolites were present in all studies, and 36 had correlations with mGFR < -0.5. A total of 2,225 models were developed that included these metabolites; all with lower root mean square errors and smaller coefficients for demographic variables compared to estimates using untargeted creatinine. Seventeen metabolites were chosen, including 12 new candidate filtration markers. The selected metabolites had strong associations with mGFR and little dependence on demographic factors. Candidate metabolites were identified with maximal joint association with mGFR and minimal dependence on demographic variables across many varied clinical settings. These metabolites are excreted in urine and represent diverse metabolic pathways and tubular handling. Thus, our data can be used to select metabolites for a multi-analyte eGFR determination assay using mass spectrometry that potentially offers better accuracy and is less prone to non-GFR determinants than the current eGFR biomarkers.
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Affiliation(s)
- Nora F Fino
- Division of Biostatistics, Department of Population Health Sciences, University of Utah Health, Salt Lake City, Utah, USA
| | - Ogechi M Adingwupu
- Division of Nephrology, Tufts Medical Center, Boston, Massachusetts, USA
| | - Josef Coresh
- Department of Population Health, NYU Langone, New York, New York, USA
| | - Tom Greene
- Division of Biostatistics, Department of Population Health Sciences, University of Utah Health, Salt Lake City, Utah, USA
| | - Ben Haaland
- Division of Biostatistics, Department of Population Health Sciences, University of Utah Health, Salt Lake City, Utah, USA
| | - Michael G Shlipak
- Kidney Health Research Collaborative, San Francisco Veterans Affair Medical Center and University of California, San Francisco, San Francisco, California, USA
| | - Veronica T Costa E Silva
- Serviço de Nefrologia, Instituto do Câncer do Estado de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil; Laboratório de Investigação Médica 16, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Roberto Kalil
- Division of Nephrology, Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Ayse L Mindikoglu
- Margaret M. and Albert B. Alkek Department of Medicine, Section of Gastroenterology and Hepatology, Baylor College of Medicine, Houston, Texas, USA; Michael E. DeBakey Department of Surgery, Division of Abdominal Transplantation, Baylor College of Medicine, Houston, Texas, USA
| | - Susan L Furth
- Department of Pediatrics, Children's Hospital of Philadelphia, and the Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jesse C Seegmiller
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Andrew S Levey
- Division of Nephrology, Tufts Medical Center, Boston, Massachusetts, USA
| | - Lesley A Inker
- Division of Nephrology, Tufts Medical Center, Boston, Massachusetts, USA.
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14
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Khan SS, Matsushita K, Sang Y, Ballew SH, Grams ME, Surapaneni A, Blaha MJ, Carson AP, Chang AR, Ciemins E, Go AS, Gutierrez OM, Hwang SJ, Jassal SK, Kovesdy CP, Lloyd-Jones DM, Shlipak MG, Palaniappan LP, Sperling L, Virani SS, Tuttle K, Neeland IJ, Chow SL, Rangaswami J, Pencina MJ, Ndumele CE, Coresh J. Development and Validation of the American Heart Association's PREVENT Equations. Circulation 2024; 149:430-449. [PMID: 37947085 PMCID: PMC10910659 DOI: 10.1161/circulationaha.123.067626] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 11/03/2023] [Indexed: 11/12/2023]
Abstract
BACKGROUND Multivariable equations are recommended by primary prevention guidelines to assess absolute risk of cardiovascular disease (CVD). However, current equations have several limitations. Therefore, we developed and validated the American Heart Association Predicting Risk of CVD EVENTs (PREVENT) equations among US adults 30 to 79 years of age without known CVD. METHODS The derivation sample included individual-level participant data from 25 data sets (N=3 281 919) between 1992 and 2017. The primary outcome was CVD (atherosclerotic CVD and heart failure). Predictors included traditional risk factors (smoking status, systolic blood pressure, cholesterol, antihypertensive or statin use, and diabetes) and estimated glomerular filtration rate. Models were sex-specific, race-free, developed on the age scale, and adjusted for competing risk of non-CVD death. Analyses were conducted in each data set and meta-analyzed. Discrimination was assessed using the Harrell C-statistic. Calibration was calculated as the slope of the observed versus predicted risk by decile. Additional equations to predict each CVD subtype (atherosclerotic CVD and heart failure) and include optional predictors (urine albumin-to-creatinine ratio and hemoglobin A1c), and social deprivation index were also developed. External validation was performed in 3 330 085 participants from 21 additional data sets. RESULTS Among 6 612 004 adults included, mean±SD age was 53±12 years, and 56% were women. Over a mean±SD follow-up of 4.8±3.1 years, there were 211 515 incident total CVD events. The median C-statistics in external validation for CVD were 0.794 (interquartile interval, 0.763-0.809) in female and 0.757 (0.727-0.778) in male participants. The calibration slopes were 1.03 (interquartile interval, 0.81-1.16) and 0.94 (0.81-1.13) among female and male participants, respectively. Similar estimates for discrimination and calibration were observed for atherosclerotic CVD- and heart failure-specific models. The improvement in discrimination was small but statistically significant when urine albumin-to-creatinine ratio, hemoglobin A1c, and social deprivation index were added together to the base model to total CVD (ΔC-statistic [interquartile interval] 0.004 [0.004-0.005] and 0.005 [0.004-0.007] among female and male participants, respectively). Calibration improved significantly when the urine albumin-to-creatinine ratio was added to the base model among those with marked albuminuria (>300 mg/g; 1.05 [0.84-1.20] versus 1.39 [1.14-1.65]; P=0.01). CONCLUSIONS PREVENT equations accurately and precisely predicted risk for incident CVD and CVD subtypes in a large, diverse, and contemporary sample of US adults by using routinely available clinical variables.
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Affiliation(s)
- Sadiya S. Khan
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA (S Khan)
| | - Kunihiro Matsushita
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (K Matsushita, Y Sang, SH Ballew, ME Grams, A Surapaneni, J Coresh)
| | - Yingying Sang
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (K Matsushita, Y Sang, SH Ballew, ME Grams, A Surapaneni, J Coresh)
| | - Shoshana H Ballew
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (K Matsushita, Y Sang, SH Ballew, ME Grams, A Surapaneni, J Coresh)
| | - Morgan E. Grams
- New York University Grossman School of Medicine, Department of Medicine, Division of Precision Medicine, New York, New York, USA (M Grams, A Surapaneni)
| | - Aditya Surapaneni
- New York University Grossman School of Medicine, Department of Medicine, Division of Precision Medicine, New York, New York, USA (M Grams, A Surapaneni)
| | - Michael J. Blaha
- Johns Hopkins Ciccarone Center for Prevention of Cardiovascular Disease, Baltimore, MD (M Blaha)
| | - April P. Carson
- University of Mississippi Medical Center, Jackson (A Carson)
| | - Alexander R. Chang
- Departments of Nephrology and Population Health Sciences, Geisinger Health, Danville, Pennsylvania (AR Chang)
| | - Elizabeth Ciemins
- AMGA (American Medical Group Association), Alexandria, Virginia, USA (E Ciemins)
| | - Alan S. Go
- Division of Research, Kaiser Permanente Northern California, Oakland, California; Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California; Departments of Epidemiology, Biostatistics and Medicine, University of California, San Francisco, California; Department of Medicine (Nephrology), Stanford University School of Medicine, Palo Alto, California (A Go)
| | - Orlando M. Gutierrez
- Departments of Epidemiology and Medicine, University of Alabama at Birmingham, Birmingham, AL (OM Gutierrez)
| | - Shih-Jen Hwang
- National Heart, Lung, and Blood Institute, Framingham, Massachusetts (SJ Hwang)
| | - Simerjot K. Jassal
- Division of General Internal Medicine, University of California, San Diego and VA San Diego Healthcare, San Diego, California (SK Jassal)
| | - Csaba P. Kovesdy
- Medicine-Nephrology, Memphis Veterans Affairs Medical Center and University of Tennessee Health Science Center, Memphis, Tennessee (CP Kovesdy)
| | - Donald M. Lloyd-Jones
- Department of Preventive Medicine, Northwestern University, Chicago, Illinois (DM Lloyd-Jones)
| | - Michael G. Shlipak
- Department of Medicine, Epidemiology, and Biostatistics, University of California, San Francisco, and San Francisco VA Medical Center, San Francisco (M Shlipak)
| | - Latha P. Palaniappan
- Center for Asian Health Research and Education and the Department of Medicine, Stanford University School of Medicine, Stanford, California, USA. (LP Palaniappan)
| | - Laurence Sperling
- Department of Cardiology, Emory University, Atlanta, GA (L Sperling)
| | - Salim S. Virani
- Department of Medicine, The Aga Khan University, Karachi, Pakistan; Texas Heart Institute and Baylor College of Medicine, Houston, Texas (SS Virani)
| | - Katherine Tuttle
- Providence Medical Research Center, Providence Inland Northwest Health, Spokane, WA, USA; Kidney Research Institute and Institute of Translational Health Sciences, University of Washington, Seattle, WA, USA (K Tuttle)
| | - Ian J. Neeland
- UH Center for Cardiovascular Prevention, Translational Science Unit, Center for Integrated and Novel Approaches in Vascular-Metabolic Disease (CINEMA), Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Case Western Reserve University School of Medicine, Cleveland, OH, USA (I Neeland)
| | - Sheryl L. Chow
- Department of Pharmacy Practice and Administration, College of Pharmacy, Western University of Health Sciences, Pomona, CA (SL Chow)
| | - Janani Rangaswami
- Washington DC VA Medical Center and George Washington University School of Medicine, Washington, DC (J Rangaswami)
| | - Michael J. Pencina
- Department of Biostatistics, Duke University Medical Center, Durham, North Carolina (MJ Pencina)
| | - Chiadi E. Ndumele
- Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA (C Ndumele)
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (K Matsushita, Y Sang, SH Ballew, ME Grams, A Surapaneni, J Coresh)
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15
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Jotwani V, Yang SY, Thiessen-Philbrook H, Parikh CR, Katz R, Tranah GJ, Ix JH, Cummings S, Waikar SS, Shlipak MG, Sarnak MJ, Parikh SM, Arking DE. Mitochondrial genetic variation and risk of chronic kidney disease and acute kidney injury in UK Biobank participants. Hum Genet 2024; 143:151-157. [PMID: 38349571 PMCID: PMC10881785 DOI: 10.1007/s00439-023-02615-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 09/28/2023] [Indexed: 02/22/2024]
Abstract
Experimental models suggest an important role for mitochondrial dysfunction in the pathogenesis of chronic kidney disease (CKD) and acute kidney injury (AKI), but little is known regarding the impact of common mitochondrial genetic variation on kidney health. We sought to evaluate associations of inherited mitochondrial DNA (mtDNA) variation with risk of CKD and AKI in a large population-based cohort. We categorized UK Biobank participants who self-identified as white into eight distinct mtDNA haplotypes, which were previously identified based on their associations with phenotypes associated with mitochondrial DNA copy number, a measure of mitochondrial function. We used linear and logistic regression models to evaluate associations of these mtDNA haplotypes with estimated glomerular filtration rate by serum creatinine and cystatin C (eGFRCr-CysC, N = 362,802), prevalent (N = 416 cases) and incident (N = 405 cases) end-stage kidney disease (ESKD), AKI defined by diagnostic codes (N = 14,170 cases), and urine albumin/creatinine ratio (ACR, N = 114,662). The mean age was 57 ± 8 years and the mean eGFR was 90 ± 14 ml/min/1.73 m2. MtDNA haplotype was significantly associated with eGFR (p = 2.8E-12), but not with prevalent ESKD (p = 5.9E-2), incident ESKD (p = 0.93), AKI (p = 0.26), or urine ACR (p = 0.54). The association of mtDNA haplotype with eGFR remained significant after adjustment for diabetes mellitus and hypertension (p = 1.2E-10). When compared to the reference haplotype, mtDNA haplotypes I (β = 0.402, standard error (SE) = 0.111; p = 2.7E-4), IV (β = 0.430, SE = 0.073; p = 4.2E-9), and V (β = 0.233, SE = 0.050; p = 2.7E-6) were each associated with higher eGFR. Among self-identified white UK Biobank participants, mtDNA haplotype was associated with eGFR, but not with ESKD, AKI or albuminuria.
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Affiliation(s)
- Vasantha Jotwani
- Department of Medicine, Kidney Health Research Collaborative, San Francisco Veterans Affairs Health Care System and University of California San Francisco, 4150 Clement Street, Bldg 2, Rm 145, San Francisco, CA, 94121, USA.
| | - Stephanie Y Yang
- Department of Genetic Medicine, McKusick-Nathans Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | - Chirag R Parikh
- Division of Nephrology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Ronit Katz
- Department of Obstetrics and Gynecology, University of Washington, Seattle, WA, USA
| | - Gregory J Tranah
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - Joachim H Ix
- Division of Nephrology-Hypertension, University of California San Diego, and Veterans Affairs San Diego Healthcare System, San Diego, CA, USA
| | - Steve Cummings
- Department of Medicine, Kidney Health Research Collaborative, San Francisco Veterans Affairs Health Care System and University of California San Francisco, 4150 Clement Street, Bldg 2, Rm 145, San Francisco, CA, 94121, USA
| | - Sushrut S Waikar
- Section of Nephrology, Department of Medicine, Boston University School of Medicine and Boston Medical Center, Boston, MA, USA
| | - Michael G Shlipak
- Department of Medicine, Kidney Health Research Collaborative, San Francisco Veterans Affairs Health Care System and University of California San Francisco, 4150 Clement Street, Bldg 2, Rm 145, San Francisco, CA, 94121, USA
| | - Mark J Sarnak
- Division of Nephrology, Tufts Medical Center, Boston, MA, USA
| | - Samir M Parikh
- Division of Nephrology, Department of Medicine, and Department of Pharmacology, University of Texas Southwestern Medical School, Dallas, TX, USA
| | - Dan E Arking
- Department of Genetic Medicine, McKusick-Nathans Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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16
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Kiernan EA, Hu D, Philbrook HT, Ix JH, Bonventre JV, Coca SG, Moledina DG, Fried LF, Shlipak MG, Parikh CR. Urinary Biomarkers and Kidney Injury in VA NEPHRON-D: Phenotyping Acute Kidney Injury in Clinical Trials. Am J Kidney Dis 2024; 83:151-161. [PMID: 37726051 PMCID: PMC10841767 DOI: 10.1053/j.ajkd.2023.07.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 06/23/2023] [Accepted: 07/02/2023] [Indexed: 09/21/2023]
Abstract
RATIONALE & OBJECTIVE Urinary biomarkers of injury, inflammation, and repair may help phenotype acute kidney injury (AKI) observed in clinical trials. We evaluated the differences in biomarkers between participants randomized to monotherapy or to combination renin-angiotensin-aldosterone system (RAAS) blockade in VA NEPHRON-D, where an increased proportion of observed AKI was acknowledged in the combination arm. STUDY DESIGN Longitudinal analysis. SETTING & PARTICIPANTS A substudy of the VA NEPHRON-D trial. PREDICTOR Primary exposure was the treatment arm (combination [RAAS inhibitor] vs monotherapy). AKI is used as a stratifying variable. OUTCOME Urinary biomarkers, including albumin, EGF (epidermal growth factor), MCP-1 (monocyte chemoattractant protein-1), YKL-40 (chitinase 3-like protein 1), and KIM-1 (kidney injury molecule-1). ANALYTICAL APPROACH Biomarkers measured at baseline and at 12 months in trial participants were compared between treatment groups and by AKI. AKI events occurring during hospitalization were predefined safety end points in the original trial. The results were included in a meta-analysis with other large chronic kidney disease trials to assess global trends in biomarker changes. RESULTS In 707 participants followed for a median of 2.2 years, AKI incidence was higher in the combination (20.7%) versus the monotherapy group (12.7%; relative risk [RR], 1.64 [95% CI, 1.16-2.30]). Compared with the monotherapy arm, in the combination arm the urine biomarkers at 12 months were either unchanged (MCP-1: RR, -3% [95% CI, -13% to 9%], Padj=0.8; KIM-1: RR, -10% [95% CI, -20% to 1%], Padj=0.2; EGF, RR-7% [95% CI, -12% to-1%], Padj=0.08) or lower (albuminuria: RR, -24% [95% CI, -37% to-8%], Padj=0.02; YKL: RR, -40% to-44% [95% CI, -58% to-25%], Padj<0.001). Pooled meta-analysis demonstrated reduced albuminuria in the intervention arm across 3 trials and similar trajectories in other biomarkers. LIMITATIONS Biomarker measurement was limited to 2 time points independent of AKI events. CONCLUSIONS Despite the increased risk of serum creatinine-defined AKI, combination RAAS inhibitor therapy was associated with unchanged or decreased urinary biomarkers at 12 months. This suggests a possible role for kidney biomarkers to further characterize kidney injury in clinical trials. PLAIN-LANGUAGE SUMMARY The VA NEPHRON-D trial investigated inhibition of the renin-angiotensin-aldosterone system (RAAS) hormonal axis on kidney outcomes in a large population of diabetic chronic kidney disease patients. The trial was stopped early due to increased events of serum creatinine-defined acute kidney injury in the combination therapy arm. Urine biomarkers can serve as an adjunct to serum creatinine in identifying kidney injury. We found that urinary biomarkers in the combination therapy group were not associated with a pattern of harm and damage to the kidney, despite the increased number of kidney injury events in that group. This suggests that serum creatinine alone may be insufficient for defining kidney injury and supports further exploration of how other biomarkers might improve identification of kidney injury in clinical trials.
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Affiliation(s)
- Elizabeth A Kiernan
- Division of Nephrology, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - David Hu
- Division of Nephrology, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Heather Thiessen Philbrook
- Division of Nephrology, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Joachim H Ix
- Division of Nephrology-Hypertension, University of California-San Diego, San Diego, California; Veterans Affairs San Diego Healthcare System, San Diego, CA
| | | | - Steven G Coca
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Dennis G Moledina
- Section of Nephrology and Clinical and Translational Research Accelerator, Department of Internal Medicine, School of Medicine, Yale University, New Haven, Connecticut
| | - Linda F Fried
- Renal Section, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
| | - Michael G Shlipak
- Kidney Health Research Collaborative, Department of Medicine, University of California-San Francisco, San Francisco, California
| | - Chirag R Parikh
- Division of Nephrology, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland.
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17
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Bullen AL, Katz R, Poursadrolah S, Short SAP, Long DL, Cheung KL, Sharma S, Al-Rousan T, Fregoso A, Schulte J, Gutierrez OM, Shlipak MG, Cushman M, Ix JH, Rifkin DE. Plasma proenkephalin A and incident chronic kidney disease and albuminuria in the REasons for Geographic And Racial Differences in Stroke (REGARDS) cohort. BMC Nephrol 2024; 25:16. [PMID: 38200454 PMCID: PMC10782722 DOI: 10.1186/s12882-023-03432-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 12/07/2023] [Indexed: 01/12/2024] Open
Abstract
BACKGROUND Plasma proenkephalin A (PENK-A) is a precursor of active enkephalins. Higher blood concentrations have been associated with estimated glomerular filtration rate (eGFR) decline in European populations. Due to the significant disparity in incident chronic kidney disease (CKD) between White and Black people, we evaluated the association of PENK-A with incident CKD and other kidney outcomes among a biracial cohort in the U.S. METHODS In a nested cohort of 4,400 participants among the REasons for Geographic And Racial Differences in Stroke, we determined the association between baseline PENK-A concentration and incident CKD using the creatinine-cystatin C CKD-EPI 2021 equation without race coefficient, significant eGFR decline, and incident albuminuria between baseline and a follow-up visit 9.4 years later. We tested for race and sex interactions. We used inverse probability sampling weights to account for the sampling design. RESULTS At baseline, mean (SD) age was 64 (8) years, 49% were women, and 52% were Black participants. 8.5% developed CKD, 21% experienced ≥ 30% decline in eGFR and 18% developed albuminuria. There was no association between PENK-A and incident CKD and no difference by race or sex. However, higher PENK-A was associated with increased odds of progressive eGFR decline (OR: 1.12; 95% CI 1.00, 1.25). Higher PENK-A concentration was strongly associated with incident albuminuria among patients without diabetes mellitus (OR: 1.29; 95% CI 1.09, 1.53). CONCLUSION While PENK-A was not associated with incident CKD, its associations with progression of CKD and incident albuminuria, among patients without diabetes, suggest that it might be a useful tool in the evaluation of kidney disease among White and Black patients.
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Affiliation(s)
- Alexander L Bullen
- Nephrology Section, Veterans Affairs San Diego Healthcare System, La Jolla, CA, USA.
- Division of Nephrology and Hypertension, Department of Medicine, University of California San Diego, San Diego, CA, USA.
| | - Ronit Katz
- University of Washington, Seattle, WA, USA
| | - Sayna Poursadrolah
- Department of Medicine, University of California San Diego, San Diego, CA, USA
| | | | - D Leann Long
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Katharine L Cheung
- Division of Nephrology, Larner College of Medicine, University of Vermont, Burlington, VT, USA
| | - Shilpa Sharma
- Division of Nephrology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
- Nephrology Section, Veteran Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, USA
| | - Tala Al-Rousan
- Division of Preventive Medicine, Department of Family Medicine and Public Health, University of California San Diego, San Diego, CA, USA
| | - Alma Fregoso
- School of Medicine, University of California San Diego, San Diego, CA, USA
| | | | - Orlando M Gutierrez
- Division of Nephrology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Michael G Shlipak
- Kidney Health Research Collaborative, Department of Medicine, University of California, San Francisco, CA, USA
- Department of Medicine, San Francisco VA Medical Center, San Francisco, CA, USA
| | - Mary Cushman
- Department of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, VT, USA
- Department of Medicine, Larner College of Medicine, University of Vermont, Burlington, VT, USA
| | - Joachim H Ix
- Nephrology Section, Veterans Affairs San Diego Healthcare System, La Jolla, CA, USA
- Division of Nephrology and Hypertension, Department of Medicine, University of California San Diego, San Diego, CA, USA
| | - Dena E Rifkin
- Nephrology Section, Veterans Affairs San Diego Healthcare System, La Jolla, CA, USA
- Division of Nephrology and Hypertension, Department of Medicine, University of California San Diego, San Diego, CA, USA
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18
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Harhay MN, Kim Y, Moore K, Harhay MO, Katz R, Shlipak MG, Mattix-Kramer HJ. Modifiable kidney disease risk factors among nondiabetic adults with obesity from the Multi-Ethnic Study of Atherosclerosis. Obesity (Silver Spring) 2023; 31:3056-3065. [PMID: 37766596 DOI: 10.1002/oby.23883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 07/12/2023] [Accepted: 07/19/2023] [Indexed: 09/29/2023]
Abstract
OBJECTIVE It is unknown whether weight change or physical fitness is associated with chronic kidney disease (CKD) risk among nondiabetic adults with obesity. METHODS This was a prospective, longitudinal cohort study of adults with obesity without baseline CKD or diabetes enrolled in the Multi-Ethnic Study of Atherosclerosis (MESA). Linear mixed-effects and multistate models were adjusted for demographics, time-varying covariates including blood pressure, and comorbidities these were used to examine associations of weight change and slow walking pace (<2 miles/h) with (i) rate of annual estimated glomerular filtration rate (eGFR) decline and (ii) incident CKD, defined as eGFRCr-Cys < 60 mL/min/1.73 m2 , and tested for interaction by baseline hypertension status. RESULTS Among 1208 included MESA participants (median BMI 33.0 kg/m2 [interquartile range 31.2-35.9]), 15% developed CKD. Slow walking pace was associated with eGFR decline (-0.27 mL/min/1.73 m2 /year; 95% CI: -0.42 to -0.12) and CKD risk (adjusted hazard ratio 1.48; 95% CI: 1.08 to 2.01). Weight gain was associated with CKD risk (adjusted hazard ratio 1.34; 95% CI: 1.02 to 1.78 per 5 kg weight gain from baseline). There was no significant interaction by baseline hypertension status. CONCLUSIONS Slow walking pace and weight gain were associated with CKD risk among adults with obesity who did not have diabetes at baseline.
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Affiliation(s)
- Meera N Harhay
- Department of Medicine, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA
- Department of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, Pennsylvania, USA
- Department of Medicine, Division of Nephrology, University of Pennsylvania Health System, Philadelphia, Pennsylvania, USA
| | - Yuna Kim
- Department of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, Pennsylvania, USA
| | - Kari Moore
- Urban Health Collaborative, Drexel University Dornsife School of Public Health, Philadelphia, Pennsylvania, USA
| | - Michael O Harhay
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Ronit Katz
- Department of Obstetrics and Gynecology, University of Washington, Seattle, Washington, USA
| | - Michael G Shlipak
- Kidney Health Research Collaborative, San Francisco VA Healthcare System and University of California, San Francisco, California, USA
| | - Holly J Mattix-Kramer
- Departments of Public Health Science and Medicine, Division of Nephrology and Hypertension, Loyola University Chicago, Maywood, Illinois, USA
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19
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Lai M, Scherzer R, Shlipak MG, Madden E, Vittinghoff E, Tse W, Parikh CR, Villalobos CPC, Monroy-Trujillo JM, Moore RD, Estrella MM. Ambulatory urine biomarkers associations with acute kidney injury and hospitalization in people with HIV. AIDS 2023; 37:2339-2348. [PMID: 37650762 PMCID: PMC10843826 DOI: 10.1097/qad.0000000000003705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Abstract
BACKGROUND People with HIV (PWH) generally have worse ambulatory levels of kidney injury biomarkers and excess risk of acute kidney injury (AKI) compared to persons without HIV. We evaluated whether ambulatory measures of subclinical kidney injury among PWH are associated with subsequent AKI. METHODS In the Predictors of Acute Renal Injury Study (PARIS), which enrolled 468 PWH from April 2016 to August 2019, we measured 10 urine biomarkers of kidney health (albumin, a1m, b2M, NGAL, IL18, KIM-1, EGF, UMOD, MCP-1, YKL40) at baseline and annually during follow-up. Using multivariable Cox regression models, we evaluated baseline and time-updated biomarker associations with the primary outcome of AKI (≥0.3 mg/dl or ≥1.5-times increase in serum creatinine from baseline) and secondary outcome of all-cause hospitalization. RESULTS At baseline, the mean age was 53 years old, and 45% self-identified as female. In time-updated models adjusting for sociodemographic factors, comorbidities, albuminuria, estimated glomerular filtration rate, and HIV-associated factors, higher KIM-1 [hazard ratio (HR) = 1.30 per twofold higher; 95% confidence interval (CI) 1.03-1.63] and NGAL concentrations (HR = 1.24, 95% CI 1.06-1.44) were associated with higher risk of hospitalized AKI. Additionally, in multivariable, time-updated models, higher levels of KIM-1 (HR = 1.19, 95% CI 1.00, 1.41), NGAL (HR = 1.13, 95% CI 1.01-1.26), and MCP-1 (HR = 1.20, 95% CI 1.00, 1.45) were associated with higher risk of hospitalization. CONCLUSIONS Urine biomarkers of kidney tubular injury, such as KIM-1 and NGAL, are strongly associated with AKI among PWH, and may hold potential for risk stratification of future AKI.
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Affiliation(s)
- Mason Lai
- Kidney Health Research Collaborative, Department of Medicine
- Department of Medicine, University of California San Francisco
| | | | - Michael G Shlipak
- Kidney Health Research Collaborative, Department of Medicine
- Department of Medicine, University of California San Francisco
- San Francisco VA Healthcare System
- Department of Epidemiology and Biostatistics
| | - Erin Madden
- Kidney Health Research Collaborative, Department of Medicine
- San Francisco VA Healthcare System
| | - Eric Vittinghoff
- Kidney Health Research Collaborative, Department of Medicine
- Department of Epidemiology and Biostatistics
| | - Warren Tse
- Kidney Health Research Collaborative, Department of Medicine
- San Francisco VA Healthcare System
| | - Chirag R Parikh
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | | | | | - Richard D Moore
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Michelle M Estrella
- Kidney Health Research Collaborative, Department of Medicine
- Department of Medicine, University of California San Francisco
- San Francisco VA Healthcare System
- Department of Medicine, Division of Nephrology, University of California San Francisco, San Francisco, California
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20
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Inker LA, Tighiouart H, Adingwupu OM, Shlipak MG, Doria A, Estrella MM, Froissart M, Gudnason V, Grubb A, Kalil R, Mauer M, Rossing P, Seegmiller J, Coresh J, Levey AS. CKD-EPI and EKFC GFR Estimating Equations: Performance and Other Considerations for Selecting Equations for Implementation in Adults. J Am Soc Nephrol 2023; 34:1953-1964. [PMID: 37796982 PMCID: PMC10703072 DOI: 10.1681/asn.0000000000000227] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 09/05/2023] [Indexed: 10/07/2023] Open
Abstract
SIGNIFICANCE STATEMENT New eGFR equations from Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) and European Kidney Function Consortium (EKFC) using creatinine (eGFRcr), cystatin C (eGFRcys), and both (eGFRcr-cys) have sufficient accuracy for use in clinical practice, leading to uncertainty in selecting equations for implementation. The authors evaluated performance of equations in an independent population of 4050 adults and evaluated other considerations important for implementation. They found that CKD-EPI and EKFC equations are approaching convergence, with better performance of eGFRcr-cys equations in the overall group and fewer differences among race, sex, and age subgroups than eGFRcr equations. Larger differences among eGFRcr equations reflect regional population differences in creatinine, forcing a trade-off between accuracy and uniformity in global implementation of eGFRcr equations. More widespread use of cystatin C could avoid this trade-off. BACKGROUND New CKD-EPI and EKFC eGFR equations using eGFRcr, eGFRcys, and both (eGFRcr-cys) have sufficient accuracy for use in clinical practice. A better understanding of the equations, including their performance in race, sex and age subgroups, is important for selection of eGFR equations for global implementation. METHODS We evaluated performance (bias and P 30 ) of equations and methods used for equation development in an independent study population comprising 4050 adults pooled from 12 studies. The mean (SD) measured GFR was 76.4 (29.6) ml/min per 1.73 m 2 and age 57.0 (17.4) years, with 1557 (38%) women and 579 (14%) Black participants. RESULTS Coefficients for creatinine, cystatin C, age, and sex in the CKD-EPI and EKFC equations are similar. Performance of the eGFRcr-cys equations in the overall population (bias <±5 ml/min per 1.73 m 2 and P 30 >90%) was better than the eGFRcr or eGFRcys equations, with fewer differences among race, sex, and age subgroups. Differences in performance across subgroups reflected differences in diversity of source populations and use of variables for race and sex for equation development. Larger differences among eGFRcr equations reflected regional population differences in non-GFR determinants of creatinine. CONCLUSION CKD-EPI and EKFC equations are approaching convergence. It is not possible to maximize both accuracy and uniformity in selecting one of the currently available eGFRcr equations for implementation across regions. Decisions should consider methods for equation development in addition to performance. Wider use of cystatin C with creatinine could maximize both accuracy and uniformity of GFR estimation using currently available equations.
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Affiliation(s)
- Lesley A. Inker
- Division of Nephrology, Tufts Medical Center, Boston, Massachusetts
| | - Hocine Tighiouart
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, Massachusetts
- Tufts Clinical and Translational Science Institute, Tufts University, Boston, Massachusetts
| | | | - Michael G. Shlipak
- Kidney Health Research Collaborative, San Francisco Veterans Affair Medical Center and University of California, San Francisco, California
| | - Alessandro Doria
- Section on Genetics & Epidemiology, Joslin Diabetes Center, Boston, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Michelle M. Estrella
- Kidney Health Research Collaborative, San Francisco Veterans Affair Medical Center and University of California, San Francisco, California
- Division of Nephrology, Department of Medicine, San Francisco VA Health Care System and University of California, San Francisco, California
| | - Marc Froissart
- Department of Research and Education, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Vilmundur Gudnason
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
- Icelandic Heart Association, Kopavogur, Iceland
| | - Anders Grubb
- Department of Clinical Chemistry and Pharmacology, Institute of Laboratory Medicine, Lund University, Lund, Sweden
| | - Roberto Kalil
- Department of Medicine, Division of Nephrology, University of Maryland School of Medicine, Baltimore, Maryland
| | - Michael Mauer
- Divisions of Pediatric and Adult Nephrology, University of Minnesota, Minneapolis, Minnesota
| | - Peter Rossing
- Steno Diabetes Center Copenhagen and the Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Jesse Seegmiller
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota
| | - Josef Coresh
- Department of Epidemiology, John Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Andrew S. Levey
- Division of Nephrology, Tufts Medical Center, Boston, Massachusetts
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21
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Schrauben SJ, Sapa H, Xie D, Zhang X, Anderson AH, Shlipak MG, Hsu CY, Shafi T, Mehta R, Bhat Z, Brown J, Charleston J, Chen J, He J, Ix JH, Rao P, Townsend R, Kimmel PL, Vasan RS, Feldman HI, Seegmiller JC, Brunengraber H, Hostetter TH, Schelling JR. Association of urine and plasma ADMA with atherosclerotic risk in DKD cardiovascular disease risk in diabetic kidney disease: findings from the Chronic Renal Insufficiency Cohort (CRIC) study. Nephrol Dial Transplant 2023; 38:2809-2815. [PMID: 37230949 PMCID: PMC10689177 DOI: 10.1093/ndt/gfad103] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Indexed: 05/27/2023] Open
Abstract
BACKGROUND Chronic kidney disease (CKD) is associated with atherosclerotic cardiovascular disease (ASCVD) risk, especially among those with diabetes. Altered metabolism of solutes that accumulate in CKD [asymmetric dimethylarginine (ADMA), symmetric dimethylarginine (SDMA) and trimethylamine N-oxide (TMAO)] may reflect pathways linking CKD with ASCVD. METHODS This case-cohort study included Chronic Renal Insufficiency Cohort participants with baseline diabetes, estimated glomerular filtration rate <60 mL/min/1.73 m2, and without prior history for each outcome. The primary outcome was incident ASCVD (time to first myocardial infarction, stroke or peripheral artery disease event) and secondary outcome was incident heart failure. The subcohort comprised randomly selected participants meeting entry criteria. Plasma and urine ADMA, SDMA and TMAO concentrations were determined by liquid chromatography-tandem mass spectrometry. Associations of uremic solute plasma concentrations and urinary fractional excretions with outcomes were evaluated by weighted multivariable Cox regression models, adjusted for confounding covariables. RESULTS Higher plasma ADMA concentrations (per standard deviation) were associated with ASCVD risk [hazard ratio (HR) 1.30, 95% confidence interval (CI) 1.01-1.68]. Lower fractional excretion of ADMA (per standard deviation) was associated with ASCVD risk (HR 1.42, 95% CI 1.07-1.89). The lowest quartile of ADMA fractional excretion was associated with greater ASCVD risk (HR 2.25, 95% CI 1.08-4.69) compared with the highest quartile. Plasma SDMA and TMAO concentration and fractional excretion were not associated with ASCVD. Neither plasma nor fractional excretion of ADMA, SDMA and TMAO were associated with incident heart failure. CONCLUSION These data suggest that decreased kidney excretion of ADMA leads to increased plasma concentrations and ASCVD risk.
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Affiliation(s)
- Sarah J Schrauben
- Department of Medicine, Perelman School of Medicine, Center for Clinical Epidemiology and Biostatistics at the Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | | | - Dawei Xie
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Xiaoming Zhang
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Amanda Hyre Anderson
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Michael G Shlipak
- Kidney Health Research Collaborative, San Francisco Veterans Affairs Healthcare System, San Francisco, CA, USA
| | - Chi-yuan Hsu
- Department of Medicine, Division of Nephrology, University of California, San Francisco, San Francisco, CA, USA
| | - Tariq Shafi
- Department of Medicine, Division of Nephrology, Houston Methodist Hospital, Houston, TX, USA
| | - Rupal Mehta
- Department of Medicine, Division of Nephrology and Hypertension, Northwestern University, Chicago, IL, USA
| | - Zeenat Bhat
- Department of Medicine, Wayne State University, Detroit, MI, USA
| | - Julie Brown
- Department of Medicine, University of Illinois at Chicago, Chicago, IL, USA
| | - Jeanne Charleston
- Department of Internal Medicine, Section of Nephrology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Jing Chen
- Department of Medicine, Tulane University School of Medicine, New Orleans, LA, USA
| | - Jiang He
- Department of Medicine, Tulane University School of Medicine, New Orleans, LA, USA
| | - Joachim H Ix
- Department of Medicine, Division of Nephrology-Hypertension, UC San Diego School of Medicine, San Diego, CA, USA
| | - Pandurango Rao
- Department of Medicine, Division of Nephrology, University of Michigan, Ann Arbor, MI, USA
| | - Ray Townsend
- Department of Medicine, Perelman School of Medicine, Center for Clinical Epidemiology and Biostatistics at the Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Paul L Kimmel
- Division of Kidney, Urologic & Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, USA
| | - Ramachandran S Vasan
- The University of Texas School of Public Health San Antonio, San Antonio, TX, USA
| | - Harold I Feldman
- Department of Medicine, Perelman School of Medicine, Center for Clinical Epidemiology and Biostatistics at the Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
- Patient-Centered Outcomes Research Institute, Washington, DC, USA
| | - Jesse C Seegmiller
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Henri Brunengraber
- Departments of Nutrition and Biochemistry, Case Western University School of Medicine, Cleveland, OH, USA
| | - Thomas H Hostetter
- Department of Medicine, Division of Nephrology, University of North Carolina, Chapel Hill, NC, USA
| | - Jeffrey R Schelling
- Departments of Physiology & Biophysics and Medicine, Case Western Reserve University School of Medicine, Cleveland, OH, USA
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22
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Hsu RK, Rubinsky AD, Shlipak MG, Johansen KL, Estrella MM, Lee BJ, Peralta CA, Hsu CY. Associations between abrupt transition, dialysis-requiring AKI, and early mortality in ESKD among U.S. veterans. BMC Nephrol 2023; 24:339. [PMID: 37964185 PMCID: PMC10647139 DOI: 10.1186/s12882-023-03387-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 11/03/2023] [Indexed: 11/16/2023] Open
Abstract
BACKGROUND Mortality is high within the first few months of starting chronic dialysis. Pre-ESKD trajectory of kidney function has been shown to be predictive of early death after dialysis initiation. We aim to better understand how two key aspects of pre-dialysis kidney function-an abrupt transition pattern and an episode of dialysis-requiring AKI (AKI-D) leading directly to ESKD-are associated with early mortality after dialysis initiation. METHODS We extracted national data from U.S. Veterans Health Administration cross-linked with the United States Renal Data System (USRDS) to identify patients who initiated hemodialysis during 2009-2013. We defined abrupt transition as having a mean outpatient eGFR ≥ 30 ml/min/1.73m2 within 1 year prior to ESKD. AKI-D was identified using inpatient serum creatinine measurements (serum Cr increase by at least 50% from baseline) along with billing codes for inpatient receipt of dialysis for AKI within 30 days prior to the ESKD start date. We used multivariable proportional hazards models to examine the association between patterns of kidney function prior to ESKD and all-cause mortality within 90 days after ESKD. RESULTS Twenty-two thousand eight hundred fifteen patients were identified in the final analytic cohort of Veterans who initiated hemodialysis and entered the USRDS. We defined five patterns of kidney function decline. Most (68%) patients (N = 15,484) did not have abrupt transition and did not suffer an episode of AKI-D prior to ESKD (reference group). The remaining groups had abrupt transition, AKI-D, or both. Patients who had an abrupt transition with (N = 503) or without (N = 3611) AKI-D had the highest risk of early mortality after ESKD onset after adjustment for demographics and comorbidities (adjusted HR 2.10, 95% CI 1.66-2.65 for abrupt transition with AKI-D; adjusted HR 2.10, 95% CI 1.90-2.33 for abrupt transition without AKI-D). In contrast, patients who experienced AKI-D without an abrupt transition pattern (N = 2141 had only a modestly higher risk of early death (adjusted HR 1.19, 95% CI 1.01-1.40). CONCLUSIONS An abrupt decline in kidney function within 1 year prior to ESKD occurred in nearly 1 in 5 incident hemodialysis patients (18%) in this national cohort of Veterans and was strongly associated with higher early mortality after ESKD onset.
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Affiliation(s)
- Raymond K Hsu
- Division of Nephrology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.
| | - Anna D Rubinsky
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Michael G Shlipak
- Department of Medicine, Kidney Health Research Collaborative, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA
| | - Kirsten L Johansen
- Chronic Disease Research Group, Hennepin Healthcare Research Institute, Minneapolis, MN, USA
- Division of Nephrology, Hennepin Healthcare, Minneapolis, MN, USA
| | - Michelle M Estrella
- Division of Nephrology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Department of Medicine, Kidney Health Research Collaborative, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA
| | - Benjamin J Lee
- Houston Methodist Institute for Academic Medicine, Houston, TX, USA
- Houston Kidney Consultants, Houston, TX, USA
| | - Carmen A Peralta
- Division of Nephrology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Department of Medicine, Kidney Health Research Collaborative, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA
- Cricket Health, Inc, San Francisco, CA, USA
| | - Chi-Yuan Hsu
- Division of Nephrology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
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23
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Le D, Chen J, Shlipak MG, Ix JH, Sarnak MJ, Gutierrez OM, Schelling JR, Bonventre JV, Sabbisetti VS, Schrauben SJ, Coca SG, Kimmel PL, Vasan RS, Grams ME, Parikh C, Coresh J, Rebholz CM. Plasma Biomarkers and Incident CKD Among Individuals Without Diabetes. Kidney Med 2023; 5:100719. [PMID: 37841418 PMCID: PMC10568645 DOI: 10.1016/j.xkme.2023.100719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2023] Open
Abstract
Rationale & Objective Biomarkers of kidney disease progression have been identified in individuals with diabetes and underlying chronic kidney disease (CKD). Whether or not these markers are associated with the development of CKD in a general population without diabetes or CKD is not well established. Study Design Prospective observational cohort. Setting & Participants In the Atherosclerosis Risk in Communities) study, 948 participants were studied. Exposures The baseline plasma biomarkers of kidney injury molecule-1 (KIM-1), monocyte chemoattractant protein-1 (MCP-1), soluble urokinase plasminogen activator receptor (suPAR), tumor necrosis factor receptor 1 (TNFR-1), tumor necrosis factor receptor 2 (TNFR-2), and human cartilage glycoprotein-39 (YKL-40) measured in 1996-1998. Outcome Incident CKD after 15 years of follow-up defined as ≥40% estimated glomerular filtration rate decline to <60 mL/min/1.73 m2 or dialysis dependence through United States Renal Data System linkage. Analytical Approach Logistic regression and C statistics. Results There were 523 cases of incident CKD. Compared with a random sample of 425 controls, there were greater odds of incident CKD per 2-fold higher concentration of KIM-1 (OR, 1.49; 95% CI, 1.25-1.78), suPAR (OR, 2.57; 95% CI, 1.74-3.84), TNFR-1 (OR, 2.20; 95% CI, 1.58-3.09), TNFR-2 (OR, 2.03; 95% CI, 1.37-3.04). After adjustment for all biomarkers, KIM-1 (OR, 1.42; 95% CI, 1.19-1.71), and suPAR (OR, 1.86; 95% CI, 1.18-2.92) remained associated with incident CKD. Compared with traditional risk factors, the addition of all 6 biomarkers improved the C statistic from 0.695-0.731 (P < 0.01) and using the observed risk of 12% for incident CKD, the predicted risk gradient changed from 5%-40% (for the 1st-5th quintile) to 4%-44%. Limitations Biomarkers and creatinine were measured at one time point. Conclusions Higher levels of KIM-1, suPAR, TNFR-1, and TNFR-2 were associated with higher odds of incident CKD among individuals without diabetes. Plain-Language Summary For people with diabetes or kidney disease, several biomarkers have been shown to be associated with worsening kidney disease. Whether these biomarkers have prognostic significance in people without diabetes or kidney disease is less studied. Using the Atherosclerosis Risk in Communities study, we followed individuals without diabetes or kidney disease for an average of 15 years after biomarker measurement to see if these biomarkers were associated with the development of kidney disease. We found that elevated levels of KIM-1, suPAR, TNFR-1, and TNFR-2 were associated with the development of kidney disease. These biomarkers may help identify individuals who would benefit from interventions to prevent the development of kidney disease.
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Affiliation(s)
- Dustin Le
- Division of Nephrology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD
| | - Jingsha Chen
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Michael G. Shlipak
- Kidney Health Research Collaborative, San Francisco Veterans Affairs Medical Center and University of California, San Francisco, California; Division of General Internal Medicine, San Francisco Veterans Affairs Medical Center, San Francisco, California
| | - Joachim H. Ix
- Division of Nephrology and Hypertension, Department of Medicine, University of California San Diego, San Diego, California; Nephrology Section, Veterans Affairs San Diego Healthcare System, La Jolla, California: Kidney Research Innovation Hub of San Diego, San Diego, California
| | - Mark J. Sarnak
- Division of Nephrology, Department of Medicine, Tufts Medical Center, Boston, MA
| | - Orlando M. Gutierrez
- Division of Nephrology, Department of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - Jeffrey R. Schelling
- Department of Physiology and Biophysics and Medicine, Case Western Reserve University School of Medicine, Cleveland, OH
| | - Joseph V. Bonventre
- Division of Renal Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Venkata S. Sabbisetti
- Division of Renal Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Sarah J. Schrauben
- Renal-Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Steven G. Coca
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Paul L. Kimmel
- Division of Kidney Urologic and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - Ramachandran S. Vasan
- Framingham Heart Study of the National Heart, Lung, and Blood Institute and Boston University School of Medicine, Framingham, MA
| | - Morgan E. Grams
- Division of Precision Medicine, Department of Medicine, New York University, NY
| | - Chirag Parikh
- Division of Nephrology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Casey M. Rebholz
- Division of Nephrology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Chronic Kidney Disease Biomarkers Consortium
- Division of Nephrology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
- Kidney Health Research Collaborative, San Francisco Veterans Affairs Medical Center and University of California, San Francisco, California; Division of General Internal Medicine, San Francisco Veterans Affairs Medical Center, San Francisco, California
- Division of Nephrology and Hypertension, Department of Medicine, University of California San Diego, San Diego, California; Nephrology Section, Veterans Affairs San Diego Healthcare System, La Jolla, California: Kidney Research Innovation Hub of San Diego, San Diego, California
- Division of Nephrology, Department of Medicine, Tufts Medical Center, Boston, MA
- Division of Nephrology, Department of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL
- Department of Physiology and Biophysics and Medicine, Case Western Reserve University School of Medicine, Cleveland, OH
- Division of Renal Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
- Renal-Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
- Division of Kidney Urologic and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
- Framingham Heart Study of the National Heart, Lung, and Blood Institute and Boston University School of Medicine, Framingham, MA
- Division of Precision Medicine, Department of Medicine, New York University, NY
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24
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Mohebi R, Coresh J, Crews DC, Estrella MM, Levey AS, Liu Y, Matsushita K, Shlipak MG, Januzzi JL. Race-Free Creatinine-Based Estimation of GFR and Projection of CKD to 2060 in the United States. Clin J Am Soc Nephrol 2023; 18:1476-1478. [PMID: 37939208 PMCID: PMC10637441 DOI: 10.2215/cjn.0000000000000245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 06/22/2023] [Indexed: 06/30/2023]
Affiliation(s)
- Reza Mohebi
- Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Josef Coresh
- Division of Cardiovascular and Clinical Epidemiology, Johns Hopkins University, Baltimore, Maryland
| | - Deidra C. Crews
- Division of Nephrology, Department of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Michelle M. Estrella
- Kidney Health Research Collaborative, Department of Medicine, San Francisco VA Health Care System and University of California, San Francisco, California
| | - Andrew S. Levey
- Division of Nephrology, Tufts Medical Center, Boston, Massachusetts
| | - Yuxi Liu
- Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Kunihiro Matsushita
- Division of Cardiovascular and Clinical Epidemiology, Johns Hopkins University, Baltimore, Maryland
| | - Michael G. Shlipak
- Kidney Health Research Collaborative, Department of Medicine, San Francisco VA Health Care System and University of California, San Francisco, California
| | - James L. Januzzi
- Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
- Heart Failure and Biomarker Center, Baim Institute for Clinical Research, Boston, Massachusetts
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25
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Sheshadri A, Lai M, Hsu FC, Bauer SR, Chen SH, Tse W, Jotwani V, Tranah GJ, Lai JC, Hallan S, Fielding RA, Liu C, Ix JH, Coca SG, Shlipak MG. Structured Moderate Exercise and Biomarkers of Kidney Health in Sedentary Older Adults: The Lifestyle Interventions and Independence for Elders Randomized Clinical Trial. Kidney Med 2023; 5:100721. [PMID: 37915963 PMCID: PMC10616412 DOI: 10.1016/j.xkme.2023.100721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2023] Open
Abstract
Rationale & Objective In the Lifestyle Interventions and Independence for Elders (LIFE) trial, a structured exercise intervention slowed kidney function decline in sedentary older adults. Biomarkers of kidney health could distinguish potential mechanisms for this beneficial effect. Study Design Randomized controlled trial. Setting & Population A total of 1,381 sedentary adults aged 70-89 years enrolled in the LIFE trial. Intervention Structured, 2-year, moderate-intensity exercise intervention versus health education. Outcomes Physical activity was measured by step count. Primary outcomes were changes in 14 serum and urine biomarkers of kidney health collected at baseline, year 1, and year 2. We determined the effect of randomization on changes in kidney measures and then evaluated observational associations of achieved activity on each measure. Results Participants assigned to exercise walked on average 291 more steps per day than participants assigned to health education. The intervention was not significantly associated with changes in biomarkers of kidney health. In observational analyses, persons in the highest versus lowest quartile of activity (≥3,470 vs <1,568 steps/day) had significant improvement in urine albumin (mean, -0.22 mg albumin/g urine creatinine [interquartile range (IQR), -0.37 to -0.06]), alpha-1-microglobulin (-0.18 mg/L [-0.28 to -0.08]), trefoil factor-3 (-0.24 pg/mL [-0.35 to -0.13]), epidermal growth factor (0.19 pg/mL [0.06-0.32]), uromodulin (0.06 pg/mL [0.00-0.12]), interleukin 18 (-0.09 pg/mL [-0.15 to -0.03]), neutrophil gelatinase-associated lipocalin (-0.16 pg/mL [-0.24 to -0.07]), monocyte chemoattractant protein-1 (-0.25 pg/mL [-0.36 to -0.14]), clusterin (-0.16 pg/mL [-0.30 to -0.02]), serum tumor necrosis factor receptor-1 (-0.25 mg/dL [-0.39 to -0.11]) and tumor necrosis factor receptor-2 (-0.30 mg/dL [-0.44 to -0.16]). In sensitivity analyses, incremental changes in activity were most impactful on urine interleukin 18 and serum tumor necrosis factor-1. Limitations The original study was not designed to assess the impact on kidney health. Non-white individuals and patients with advanced chronic kidney disease are underrepresented. Conclusions Randomization to structured exercise did not improve kidney health at a group level. However, higher exercise was associated with concurrent improvements in biomarkers of glomerular injury, tubular function/repair, tubular injury, generalized inflammation, and tubulointerstitial repair/fibrosis. Plain-Language Summary In the Lifestyle Interventions For Elders (LIFE) study, randomization to an exercise and physical activity intervention improved the slope of estimated glomerular filtration rate over 2 years compared with health education among older adults. In this study, we sought to determine whether there were specific biomarkers of kidney health that were affected by the exercise and physical activity intervention to investigate potential mechanisms for this positive impact on kidney decline. We found that randomization to the intervention did not improve any of the 14 measures of kidney tubule health. However, in observational analyses, higher activity was independently associated with improvements in several domains, especially tubular injury and generalized inflammation. These results help to clarify the impact of physical activity on kidney health.
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Affiliation(s)
- Anoop Sheshadri
- Department of Medicine, University of California San Francisco, San Francisco, CA
- Department of Medicine, San Francisco VA Health Care System, San Francisco, CA
| | - Mason Lai
- Department of Medicine, University of California San Francisco, San Francisco, CA
| | - Fang-Chi Hsu
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Scott R. Bauer
- Department of Medicine, University of California San Francisco, San Francisco, CA
- Department of Medicine, San Francisco VA Health Care System, San Francisco, CA
| | - Shyh-Huei Chen
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Warren Tse
- Department of Medicine, San Francisco VA Health Care System, San Francisco, CA
| | - Vasantha Jotwani
- Department of Medicine, University of California San Francisco, San Francisco, CA
- Department of Medicine, San Francisco VA Health Care System, San Francisco, CA
| | | | - Jennifer C. Lai
- Department of Medicine, University of California San Francisco, San Francisco, CA
| | - Stein Hallan
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Roger A. Fielding
- Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA
| | - Christine Liu
- Department of Medicine, Stanford University School of Medicine, Stanford, CA
- Geriatric Research Education and Clinical Center, Palo Alto VA Health Care System, Palo Alto, CA
| | - Joachim H. Ix
- Department of Medicine, University of California San Diego, La Jolla, CA
| | - Steven G. Coca
- Department of Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Michael G. Shlipak
- Department of Medicine, University of California San Francisco, San Francisco, CA
- Department of Medicine, San Francisco VA Health Care System, San Francisco, CA
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26
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Grams ME, Coresh J, Matsushita K, Ballew SH, Sang Y, Surapaneni A, Alencar de Pinho N, Anderson A, Appel LJ, Ärnlöv J, Azizi F, Bansal N, Bell S, Bilo HJG, Brunskill NJ, Carrero JJ, Chadban S, Chalmers J, Chen J, Ciemins E, Cirillo M, Ebert N, Evans M, Ferreiro A, Fu EL, Fukagawa M, Green JA, Gutierrez OM, Herrington WG, Hwang SJ, Inker LA, Iseki K, Jafar T, Jassal SK, Jha V, Kadota A, Katz R, Köttgen A, Konta T, Kronenberg F, Lee BJ, Lees J, Levin A, Looker HC, Major R, Melzer Cohen C, Mieno M, Miyazaki M, Moranne O, Muraki I, Naimark D, Nitsch D, Oh W, Pena M, Purnell TS, Sabanayagam C, Satoh M, Sawhney S, Schaeffner E, Schöttker B, Shen JI, Shlipak MG, Sinha S, Stengel B, Sumida K, Tonelli M, Valdivielso JM, van Zuilen AD, Visseren FLJ, Wang AYM, Wen CP, Wheeler DC, Yatsuya H, Yamagata K, Yang JW, Young A, Zhang H, Zhang L, Levey AS, Gansevoort RT. Estimated Glomerular Filtration Rate, Albuminuria, and Adverse Outcomes: An Individual-Participant Data Meta-Analysis. JAMA 2023; 330:1266-1277. [PMID: 37787795 PMCID: PMC10548311 DOI: 10.1001/jama.2023.17002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 08/15/2023] [Indexed: 10/04/2023]
Abstract
Importance Chronic kidney disease (low estimated glomerular filtration rate [eGFR] or albuminuria) affects approximately 14% of adults in the US. Objective To evaluate associations of lower eGFR based on creatinine alone, lower eGFR based on creatinine combined with cystatin C, and more severe albuminuria with adverse kidney outcomes, cardiovascular outcomes, and other health outcomes. Design, Setting, and Participants Individual-participant data meta-analysis of 27 503 140 individuals from 114 global cohorts (eGFR based on creatinine alone) and 720 736 individuals from 20 cohorts (eGFR based on creatinine and cystatin C) and 9 067 753 individuals from 114 cohorts (albuminuria) from 1980 to 2021. Exposures The Chronic Kidney Disease Epidemiology Collaboration 2021 equations for eGFR based on creatinine alone and eGFR based on creatinine and cystatin C; and albuminuria estimated as urine albumin to creatinine ratio (UACR). Main Outcomes and Measures The risk of kidney failure requiring replacement therapy, all-cause mortality, cardiovascular mortality, acute kidney injury, any hospitalization, coronary heart disease, stroke, heart failure, atrial fibrillation, and peripheral artery disease. The analyses were performed within each cohort and summarized with random-effects meta-analyses. Results Within the population using eGFR based on creatinine alone (mean age, 54 years [SD, 17 years]; 51% were women; mean follow-up time, 4.8 years [SD, 3.3 years]), the mean eGFR was 90 mL/min/1.73 m2 (SD, 22 mL/min/1.73 m2) and the median UACR was 11 mg/g (IQR, 8-16 mg/g). Within the population using eGFR based on creatinine and cystatin C (mean age, 59 years [SD, 12 years]; 53% were women; mean follow-up time, 10.8 years [SD, 4.1 years]), the mean eGFR was 88 mL/min/1.73 m2 (SD, 22 mL/min/1.73 m2) and the median UACR was 9 mg/g (IQR, 6-18 mg/g). Lower eGFR (whether based on creatinine alone or based on creatinine and cystatin C) and higher UACR were each significantly associated with higher risk for each of the 10 adverse outcomes, including those in the mildest categories of chronic kidney disease. For example, among people with a UACR less than 10 mg/g, an eGFR of 45 to 59 mL/min/1.73 m2 based on creatinine alone was associated with significantly higher hospitalization rates compared with an eGFR of 90 to 104 mL/min/1.73 m2 (adjusted hazard ratio, 1.3 [95% CI, 1.2-1.3]; 161 vs 79 events per 1000 person-years; excess absolute risk, 22 events per 1000 person-years [95% CI, 19-25 events per 1000 person-years]). Conclusions and Relevance In this retrospective analysis of 114 cohorts, lower eGFR based on creatinine alone, lower eGFR based on creatinine and cystatin C, and more severe UACR were each associated with increased rates of 10 adverse outcomes, including adverse kidney outcomes, cardiovascular diseases, and hospitalizations.
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Affiliation(s)
- Morgan E Grams
- Division of Precision Medicine, Department of Medicine, Grossman School of Medicine, New York University, New York, New York
- Department of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Josef Coresh
- Department of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Kunihiro Matsushita
- Department of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Shoshana H Ballew
- Department of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Yingying Sang
- Department of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Aditya Surapaneni
- Division of Precision Medicine, Department of Medicine, Grossman School of Medicine, New York University, New York, New York
| | - Natalia Alencar de Pinho
- Centre for Research in Epidemiology and Population Health, Paris-Saclay University, Inserm U1018, Versailles Saint-Quentin University, Clinical Epidemiology Team, Villejuif, France
| | - Amanda Anderson
- School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana
| | - Lawrence J Appel
- Department of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Johan Ärnlöv
- School of Health and Social Studies, Dalarna University, Falun, Sweden
- Department of Neurobiology, Care Sciences, and Society, Family Medicine and Primary Care Unit, Karolinska Institutet, Huddinge, Sweden
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Nisha Bansal
- Division of Nephrology, University of Washington, Seattle
| | - Samira Bell
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, Scotland
| | - Henk J G Bilo
- Diabetes Centre and Department of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Nigel J Brunskill
- Department of Cardiovascular Sciences, University of Leicester, and John Walls Renal Unit, Leicester General Hospital, University Hospitals of Leicester NHS Trust, Leicester, England
| | - Juan J Carrero
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, and Department of Clinical Science, Danderyd Hospital, Stockholm, Sweden
| | - Steve Chadban
- Department of Renal Medicine, Royal Prince Alfred Hospital, Sydney, Australia
| | - John Chalmers
- George Institute for Global Health, University of New South Wales, Sydney, Australia
- School of Public Health, Imperial College, London, England
- Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India
| | - Jing Chen
- Department of Medicine, School of Medicine, Tulane University, New Orleans, Louisiana
| | | | - Massimo Cirillo
- Department Scuola Medica Salernitana, University of Salerno, Fisciano, Italy
| | - Natalie Ebert
- Institute of Public Health, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Marie Evans
- Department of Renal Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Alejandro Ferreiro
- Departamento de Nefrología, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay
| | - Edouard L Fu
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Masafumi Fukagawa
- Division of Nephrology, Endocrinology, and Metabolism, School of Medicine, Tokai University, Isehara, Japan
| | - Jamie A Green
- Department of Nephrology, Geisinger Commonwealth School of Medicine, Danville, Pennsylvania
- Center for Kidney Health Research, Geisinger, Danville, Pennsylvania
| | | | - William G Herrington
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford, England
- Clinical Trial Service Unit and Epidemiological Studies Unit, University of Oxford, Oxford, England
| | - Shih-Jen Hwang
- Framingham Heart Study, Framingham, Massachusetts
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda, Maryland
| | - Lesley A Inker
- Division of Nephrology, Tufts Medical Center, Boston, Massachusetts
| | | | - Tazeen Jafar
- Programme in Health Services and Systems Research, Duke-NUS Medical School, Singapore
- Duke Global Health Institute, Duke University, Durham, North Carolina
| | - Simerjot K Jassal
- University of California-San Diego, La Jolla
- San Diego VA Health Care System, San Diego, California
| | - Vivekanand Jha
- George Institute for Global Health India, New Delhi, India
- George Institute for Global Health, School of Public Health, Imperial College, London, England
| | - Aya Kadota
- Department of Public Health, NCD Epidemiology Research Center, Shiga University of Medical Science, Otsu, Japan
| | - Ronit Katz
- Department of Obstetrics and Gynecology, University of Washington, Seattle
| | - Anna Köttgen
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Tsuneo Konta
- Department of Public Health and Hygiene, Yamagata University Faculty of Medicine, Yamagata, Japan
| | - Florian Kronenberg
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Brian J Lee
- Kaiser Permanente, Hawaii Region, and Moanalua Medical Center, Honolulu, Hawai'i
| | - Jennifer Lees
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, Scotland
- Glasgow Renal and Transplant Unit, Queen Elizabeth University Hospital, Glasgow, Scotland
| | - Adeera Levin
- Division of Nephrology, University of British Columbia, Vancouver, Canada
| | - Helen C Looker
- Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona
| | - Rupert Major
- Department of Cardiovascular Sciences, University of Leicester, and John Walls Renal Unit, Leicester General Hospital, University Hospitals of Leicester NHS Trust, Leicester, England
| | - Cheli Melzer Cohen
- Maccabi Institute for Research and Innovation, Maccabi Healthcare Services, Tel-Aviv, Israel
| | - Makiko Mieno
- Department of Medical Informatics, Center for Information, Jichi Medical University, Tochigi, Japan
| | - Mariko Miyazaki
- Department of Nephrology, Endocrinology, and Vascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Olivier Moranne
- Service de Néphrologie Dialyse Aphérèse, Nîmes Hôpital Universitaire, Nîmes, France
- IDESP, UMR-INSERM, Universite de Montpellier, Montpellier, France
| | - Isao Muraki
- Public Health, Osaka University Graduate School of Medicine, Suita, Japan
| | - David Naimark
- Department of Medicine and Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Dorothea Nitsch
- London School of Hygiene and Tropical Medicine, London, England
| | - Wonsuk Oh
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Michelle Pena
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Tanjala S Purnell
- Department of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
- Division of Transplantation, Department of Surgery, School of Medicine, Johns Hopkins University, Baltimore, Maryland
- Center for Health Equity, Johns Hopkins University, Baltimore, Maryland
| | - Charumathi Sabanayagam
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Programme, Duke-NUS Medical School, Singapore
| | - Michihiro Satoh
- Division of Public Health, Hygiene, and Epidemiology, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Simon Sawhney
- Aberdeen Centre for Health Data Science, School of Medicine, Medical Sciences, and Nutrition, University of Aberdeen, Aberdeen, Scotland
- NHS Grampian, Aberdeen, Scotland
| | - Elke Schaeffner
- Institute of Public Health, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Ben Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | - Jenny I Shen
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles
- Lundquist Institute, Harbor-UCLA Medical Center, Torrance, California
| | - Michael G Shlipak
- Kidney Health Research Collaborative, Department of Medicine, University of California, San Francisco
- General Internal Medicine Division, Medical Service, San Francisco Veterans Affairs Health Care System, San Francisco, California
| | - Smeeta Sinha
- Salford Royal Hospital, Northern Care Alliance NHS Foundation Trust, Salford, England
| | - Benedicte Stengel
- Centre for Research in Epidemiology and Population Health, Paris-Saclay University, Inserm U1018, Versailles Saint-Quentin University, Clinical Epidemiology Team, Villejuif, France
| | - Keiichi Sumida
- Division of Nephrology, Department of Medicine, University of Tennessee Health Science Center, Memphis
| | - Marcello Tonelli
- Department of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Jose M Valdivielso
- Vascular and Renal Translational Research Group, Biomedical Research Institute of Lleida, IRBLleida and University of Lleida, Lleida, Spain
| | - Arjan D van Zuilen
- Department of Nephrology and Hypertension, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Frank L J Visseren
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Angela Yee-Moon Wang
- Department of Medicine, Queen Mary Hospital, University of Hong Kong, Hong Kong, China
| | - Chi-Pang Wen
- Institute of Population Health Science, National Health Research Institutes, Zhunan, Taiwan/China Medical University Hospital, Taichung, Taiwan
| | - David C Wheeler
- Department of Renal Medicine, University College London, London, England
| | - Hiroshi Yatsuya
- Department of Public Health and Health Systems, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | | | - Jae Won Yang
- Department of Internal Medicine, Wonju College of Medicine, Yonsei University, Wonju, South Korea
| | - Ann Young
- Division of Nephrology, Unity Health Toronto, University of Toronto, Toronto, Ontario, Canada
- ICES Western, London, Ontario, Canada
| | - Haitao Zhang
- National Clinical Research Center of Kidney Diseases, Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Luxia Zhang
- Peking University First Hospital, Beijing, China
| | - Andrew S Levey
- Division of Nephrology, Tufts Medical Center, Boston, Massachusetts
| | - Ron T Gansevoort
- Department of Nephrology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
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Wang Y, Adingwupu OM, Shlipak MG, Doria A, Estrella MM, Froissart M, Gudnason V, Grubb A, Kalil R, Mauer M, Rossing P, Seegmiller J, Coresh J, Levey AS, Inker LA. Discordance Between Creatinine-Based and Cystatin C-Based Estimated GFR: Interpretation According to Performance Compared to Measured GFR. Kidney Med 2023; 5:100710. [PMID: 37753251 PMCID: PMC10518599 DOI: 10.1016/j.xkme.2023.100710] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/28/2023] Open
Abstract
Rationale & Objective Use of cystatin C in addition to creatinine to estimate glomerular filtration rate (estimated glomerular filtration rate based on cystatin C [eGFRcys] and estimated glomerular filtration rate based on creatinine [eGFRcr], respectively) is increasing. When eGFRcr and eGFRcys are discordant, it is not known which is more accurate, leading to uncertainty in clinical decision making. Study Design Cross-sectional analysis. Setting & Participants Four thousand fifty participants with measured glomerular filtration rate (mGFR) from 12 studies in North America and Europe. Exposures Serum creatinine and serum cystatin C. Outcomes Performance of creatinine-based and cystatin C-based glomerular filtration rate estimating equations compared to mGFR. Analytical Approach We evaluated the accuracy of eGFRcr, eGFRcys, and the combination (eGFRcr-cys) compared to mGFR according to the magnitude of the difference between eGFRcr and eGFRcys (eGFRdiff). We used CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration) equations to estimate glomerular filtration rate. eGFRdiff was defined as eGFRcys minus eGFRcr and categorized as less than -15, -15 to <15, and ≥15 mL/min/1.73 m2 (negative, concordant, and positive groups, respectively). We compared bias (median of mGFR minus eGFR) and the percentage of eGFR within 30% of mGFR. Results Thirty percent of participants had discordant eGFRdiff (21.0% and 9.6% negative and positive eGFRdiffs, respectively). In the concordant eGFRdiff group, all equations displayed similar accuracy. In the negative eGFRdiff groups, eGFRcr had a large overestimation of mGFR (-13.4 [-14.5 to -12.2] mL/min/1.73 m2) and eGFRcys had a large underestimation (9.9 [9.1-11.2] mL/min/1.73m2), with opposite results in the positive eGFRdiff group. In both negative and positive eGFRdiff groups, eGFRcr-cys was more accurate than either eGFRcr or eGFRcys. These results were largely consistent across age, sex, race, and body mass index. Limitations Few participants with major comorbid conditions. Conclusions Discordant eGFRcr and eGFRcys are common. eGFR using the combination of creatinine and cystatin C provides the most accurate estimates among persons with discordant eGFRcr or eGFRcys.
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Affiliation(s)
- Yeli Wang
- Department of Nutrition, Harvard University T.H. Chan School of Public Health, Boston, MA
| | | | - Michael G. Shlipak
- Kidney Health Research Collaborative, San Francisco Veterans Affair Medical Center and University of California, San Francisco, CA
| | - Alessandro Doria
- Section on Genetics & Epidemiology, Joslin Diabetes Center, and the Department of Medicine, Harvard Medical School, Boston, MA
| | - Michelle M. Estrella
- Division of Nephrology, Department of Medicine, San Francisco VA Health Care System and University of California, San Francisco, CA
| | - Marc Froissart
- Clinical Trial Unit, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Vilmundur Gudnason
- Faculty of Medicine, University of Iceland, Reykjavik, and the Icelandic Heart Association, Kopavogur, Iceland
| | - Anders Grubb
- Department of Clinical Chemistry and Pharmacology, Institute of Laboratory Medicine, Lund University, Sweden
| | - Roberto Kalil
- Division of Nephrology, Department of Medicine, University of Maryland School of Medicine, Baltimore MD
| | - Michael Mauer
- Divisions of Pediatric and Adult Nephrology, University of Minnesota, Minneapolis, MN
| | - Peter Rossing
- Steno Diabetes Center Copenhagen and the Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Jesse Seegmiller
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | - Josef Coresh
- Department of Epidemiology, John Hopkins Bloomberg School of Public Health, Baltimore, MD
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Cheng JH, Hoofnagle AN, Katz R, Kritchevsky SB, Shlipak MG, Sarnak MJ, Ix JH, Ginsberg C. Development and Validation of Novel Free Vitamin D Equations: The Health Aging and Body Composition Study. JBMR Plus 2023; 7:e10781. [PMID: 37701148 PMCID: PMC10494503 DOI: 10.1002/jbm4.10781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 05/05/2023] [Accepted: 05/22/2023] [Indexed: 09/14/2023] Open
Abstract
Vitamin D deficiency is prevalent in 25% of Americans. However, 25(OH)D may not be an accurate measure of vitamin D because the majority (85%-90%) of 25(OH)D is bound to vitamin D binding protein (VDBP), which varies by over 30% across individuals. Free 25(OH)D may be a better measure, but it is difficult to measure accurately and precisely. The existing free 25(OH)D estimating equation does not include VDBP phenotypes; therefore, new equations that include this variable may be more accurate. A total of 370 participants in the Health, Aging, and Body Composition Study, a cohort of healthy community-dwelling individuals aged 70-79 years old, underwent VDBP and vitamin D metabolite [25(OH)D, 24,25(OH)2D, 1,25(OH)2D, free 25(OH)D] measurements and were randomly allocated into equation development (two out of three) and internal validation (one out of three) groups. New equations were developed with multiple linear regression and were internally validated with Bland-Altman plots. The mean age was 75 ± 3 years, 53% were female, and the mean measured free 25(OH)D was 5.37 ± 1.81 pg/mL. Three equations were developed. The first equation included albumin, 25(OH)D3, 25(OH)D2, VDBP, 1,25(OH)2D3, and 24,25(OH)2D3. The second equation included all variables in Eq. (1) plus VDBP phenotypes. The third equation included albumin, 25(OH)D3, intact parathyroid hormone, and 1,25(OH)2D3. In internal validation, all three new equations predicted free 25(OH)D values within 30% and 15% of the measured free 25(OH)D concentrations in 76%-80% and 48%-52% of study participants, respectively. Equation (2) was the most precise, with a mean bias of 0.06 (95% limits of agreement -2.41 to 2.30) pg/mL. The existing equation estimated free 25(OH)D within 30% and 15% of measured free 25(OH)D in 43% and 22% of participants, respectively. Free 25(OH)D can be estimated with clinically available biomarkers as well as with more laboratory-intensive biomarkers with moderate precision. © 2023 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.
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Affiliation(s)
- Jonathan H. Cheng
- Division of Nephrology‐HypertensionUniversity of CaliforniaSan DiegoCAUSA
- Nephrology SectionVeterans Affairs San Diego Healthcare SystemSan DiegoCAUSA
| | - Andrew N. Hoofnagle
- Department of Laboratory Medicine and Medicine and the Kidney Research InstituteUniversity of WashingtonSeattleWAUSA
| | - Ronit Katz
- Department of Obstetrics and GynecologyUniversity of WashingtonSeattleWAUSA
| | - Stephen B. Kritchevsky
- Department of Internal Medicine, Section on Gerontology and Geriatric MedicineWake Forest School of MedicineWinston‐SalemNCUSA
| | - Michael G. Shlipak
- Kidney Health Research Collaborative, Veterans Affairs Medical CenterUniversity of CaliforniaSan FranciscoCAUSA
| | - Mark J. Sarnak
- Department of Medicine, Division of NephrologyTufts Medical CenterBostonMAUSA
| | - Joachim H. Ix
- Division of Nephrology‐HypertensionUniversity of CaliforniaSan DiegoCAUSA
- Nephrology SectionVeterans Affairs San Diego Healthcare SystemSan DiegoCAUSA
| | - Charles Ginsberg
- Division of Nephrology‐HypertensionUniversity of CaliforniaSan DiegoCAUSA
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Vasquez-Rios G, Katz R, Levitan EB, Cushman M, Parikh CR, Kimmel PL, Bonventre JV, Waikar SS, Schrauben SJ, Greenberg JH, Sarnak MJ, Ix JH, Shlipak MG, Gutierrez OM. Urinary Biomarkers of Kidney Tubule Health and Mortality in Persons with CKD and Diabetes Mellitus. Kidney360 2023; 4:e1257-e1264. [PMID: 37533144 PMCID: PMC10547219 DOI: 10.34067/kid.0000000000000226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 07/24/2023] [Indexed: 08/04/2023]
Abstract
Key Points Among adults with diabetes and CKD, biomarkers of kidney tubule health were associated with a greater risk of death, independent of eGFR, albuminuria, and additional risk factors. Higher urine levels of YKL-40 and KIM-1 were associated with a greater risk of death. For cause-specific death, UMOD was independently and inversely associated with the risk of cardiovascular death. Background Kidney disease assessed by serum creatinine and albuminuria are strongly associated with mortality in diabetes. These markers primarily reflect glomerular function and injury. Urine biomarkers of kidney tubule health were recently associated with the risk of kidney failure in persons with CKD and diabetes. Associations of these biomarkers with risk of death are poorly understood. Methods In 560 persons with diabetes and eGFR ≤60 ml/min per 1.73 m2 from the Reasons for Geographic and Racial Differences in Stroke study (47% male, 53% Black), we measured urine biomarkers of kidney tubule health at baseline: monocyte chemoattractant protein-1 (MCP-1), alpha-1-microglobulin, kidney injury molecule-1 (KIM-1), EGF, chitinase-3-like protein 1 (YKL-40), and uromodulin (UMOD). Cox proportional hazards regression was used to examine the associations of urine biomarkers with all-cause and cause-specific mortality in nested models adjusted for urine creatinine, demographics, mortality risk factors, eGFR, and urine albumin. Results The mean (SD) age was 70 (9.6) years, and baseline eGFR was 40 (3) ml/min per 1.73 m2. There were 310 deaths over a mean follow-up of 6.5 (3.2) years. In fully adjusted models, each two-fold higher urine concentration of KIM-1 and YKL-40 were associated with all-cause mortality (hazard ratio [HR] 1.15, 95% confidence interval [CI], 1.01 to 1.31 and 1.13, 95% CI, 1.07 to 1.20, respectively). When examining cause-specific mortality, higher UMOD was associated with a lower risk of cardiovascular death (adjusted HR per two-fold higher concentration 0.87, 95% CI, 0.77 to 0.99), and higher MCP-1 was associated with higher risk of cancer death (HR per two-fold higher concentration 1.52, 95% CI, 1.05 to 2.18). Conclusion Among persons with diabetes and CKD, higher urine KIM-1 and YKL-40 were associated with a higher risk of all-cause mortality independently of established risk factors. Urine UMOD and MCP-1 were associated with cardiovascular and cancer-related death, respectively.
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Affiliation(s)
- George Vasquez-Rios
- Division of Nephrology , Department of Internal Medicine , Icahn School of Medicine at Mount Sinai , Manhattan , New York
| | - Ronit Katz
- Department of Obstetrics and Gynecology , University of Washington , Seattle , Washington
| | - Emily B Levitan
- Department of Epidemiology , University of Alabama at Birmingham , Birmingham , Alabama
| | - Mary Cushman
- Departments of Medicine and Pathology and Laboratory Medicine , Larner College of Medicine at the University of Vermont , Burlington , Vermont
| | - Chirag R Parikh
- Section of Nephrology , Department of Internal Medicine , Johns Hopkins School of Medicine , Baltimore , Maryland
| | - Paul L Kimmel
- National Institute of Diabetes and Digestive and Kidney Diseases , Bethesda , Maryland
| | - Joseph V Bonventre
- Division of Nephrology , Department of Medicine , Brigham and Women's Hospital , Boston , Massachusetts
| | - Sushrut S Waikar
- Section of Nephrology , Department of Medicine , Boston Medical Center , Boston , Massachusetts
| | - Sarah J Schrauben
- Department of Medicine , Perelman School of Medicine , Center for Clinical Epidemiology and Biostatistics at the Perelman School of Medicine at the University of Pennsylvania , Philadelphia , Pennsylvania
| | - Jason H Greenberg
- Section of Nephrology , Department of Pediatrics , Program of Applied Translational Research , Yale University School of Medicine , New Haven , Connecticut
| | - Mark J Sarnak
- Division of Nephrology , Department of Medicine , Tufts Medical Center , Boston , Massachusetts
| | - Joachim H Ix
- Division of Nephrology-Hypertension , Department of Medicine , University of California San Diego , San Diego , California
- Veterans Affairs San Diego Healthcare System , San Diego , California
| | - Michael G Shlipak
- Kidney Health Research Collaborative , San Francisco Veterans Affairs Healthcare System and University of California , San Francisco , California
| | - Orlando M Gutierrez
- Departments of Medicine and Epidemiology , University of Alabama at Birmingham , Birmingham , Alabama
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30
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Lidgard B, Bansal N, Zelnick LR, Hoofnagle AN, Fretts AM, Longstreth WT, Shlipak MG, Siscovick DS, Umans JG, Lemaitre RN. Evaluation of plasma sphingolipids as mediators of the relationship between kidney disease and cardiovascular events. EBioMedicine 2023; 95:104765. [PMID: 37634384 PMCID: PMC10474367 DOI: 10.1016/j.ebiom.2023.104765] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 08/04/2023] [Accepted: 08/06/2023] [Indexed: 08/29/2023] Open
Abstract
BACKGROUND Sphingolipids are a family of circulating lipids with regulatory and signaling roles that are strongly associated with both eGFR and cardiovascular disease. Patients with chronic kidney disease (CKD) are at high risk for cardiovascular events, and have different plasma concentrations of certain plasma sphingolipids compared to patients with normal kidney function. We hypothesize that circulating sphingolipids partially mediate the associations between eGFR and cardiovascular events. METHODS We measured the circulating concentrations of 8 sphingolipids, including 4 ceramides and 4 sphingomyelins with the fatty acids 16:0, 20:0, 22:0, and 24:0, in plasma from 3,463 participants in a population-based cohort (Cardiovascular Health Study) without prevalent cardiovascular disease. We tested the adjusted mediation effects by these sphingolipids of the associations between eGFR and incident cardiovascular disease via quasi-Bayesian Monte Carlo method with 2,000 simulations, using a Bonferroni correction for significance. FINDINGS The mean (±SD) eGFR was 70 (±16) mL/min/1.73 m2; 62% of participants were women. Lower eGFR was associated with higher plasma ceramide-16:0 and sphingomyelin-16:0, and lower ceramides and sphingomyelins-20:0 and -22:0. Lower eGFR was associated with risk of incident heart failure and ischemic stroke, but not myocardial infarction. Five of eight sphingolipids partially mediated the association between eGFR and heart failure. The sphingolipids associated with the greatest proportion mediated were ceramide-16:0 (proportion mediated 13%, 95% CI 8-22%) and sphingomyelin-16:0 (proportion mediated 10%, 95% CI 5-17%). No sphingolipids mediated the association between eGFR and ischemic stroke. INTERPRETATION Plasma sphingolipids partially mediated the association between lower eGFR and incident heart failure. Altered sphingolipids metabolism may be a novel mechanism for heart failure in patients with CKD. FUNDING This study was supported by T32 DK007467 and a KidneyCure Ben J. Lipps Research Fellowship (Dr. Lidgard). Sphingolipid measurements were supported by R01 HL128575 (Dr. Lemaitre) and R01 HL111375 (Dr. Hoofnagle) from the National Heart, Lung, and Blood Institute (NHLBI).
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Affiliation(s)
- Benjamin Lidgard
- Department of Medicine, University of Washington, United States.
| | - Nisha Bansal
- Department of Medicine, University of Washington, United States
| | - Leila R Zelnick
- Department of Medicine, University of Washington, United States
| | | | - Amanda M Fretts
- Department of Medicine, University of Washington, United States
| | | | - Michael G Shlipak
- Kidney Health Research Collaborative, San Francisco Veterans Affairs Healthcare System and University of California San Francisco, United States
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31
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Affiliation(s)
- Teresa K Chen
- Kidney Health Research Collaborative, Department of Medicine, University of California, San Francisco, San Francisco VA Health Care System, San Francisco, California
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32
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Garimella PS, Scherzer R, Kestenbaum BR, Hoofnagle AN, Jotwani V, Gustafson D, Karim R, Sharma A, Cohen M, Dumond J, Abraham A, Estrella M, Shlipak MG, Ix JH. Tubular Secretory Solute Clearance and HIV Infection. J Acquir Immune Defic Syndr 2023; 93:319-326. [PMID: 36988544 PMCID: PMC10313730 DOI: 10.1097/qai.0000000000003200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 12/05/2022] [Indexed: 03/30/2023]
Abstract
BACKGROUND Tubular secretion is an important kidney function responsible for the clearance of numerous medications, including antibiotics and antivirals. It is unknown whether persons living with HIV have lower secretion compared with HIV-uninfected persons, which might predispose them to the risk of progressive kidney disease or adverse drug events. SETTING AND METHODS We evaluated a panel of 6 endogenous secretory solutes in 199 women living with HIV (WLWH) and 100 women without HIV enrolled in the Women's Interagency HIV Study. Secretory clearance was estimated as the urine-to-plasma ratio of each solute, with adjustment for urine tonicity. Using multivariable linear regression analysis, we compared differences in levels of secretory solute clearance between women with and without HIV and evaluated characteristics associated with secretion. RESULTS WLWH were older (median 40 vs. 38 years) but had similar estimated glomerular filtration rate (eGFR, 96 vs. 100 mL/minute/1.73 m 2 ) compared with those without HIV. African American and Latino race, diabetes, diastolic blood pressure, smoking, hepatitis C, peak HIV viral load, and current and nadir CD4 count were associated with differences in clearance of at least 1 marker after multivariable adjustment. The secretory clearance of 3 solutes (cinnamoylglycine, kynurenic acid, and pyridoxic acid) were on average 10%-15% lower among WLWH compared with those without HIV independent of eGFR, albuminuria and chronic kidney disease risk factors, including HCV, and injection drug use. CONCLUSIONS HIV is associated with reduced secretion among women with preserved eGFR. The implications of these findings for drug dosing and adverse events need to be evaluated.
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Affiliation(s)
- Pranav S. Garimella
- Kidney Research Innovation Hub of San Diego and Division of Nephrology and Hypertension, University of California San Diego, San Diego, USA
| | - Rebecca Scherzer
- Kidney Health Research Collaborative, San Francisco VA Medical Center and University of California, San Francisco, USA
| | | | - Andrew N. Hoofnagle
- Department of Laboratory Medicine, University of Washington, Seattle, WA, USA
| | - Vasantha Jotwani
- Kidney Health Research Collaborative, San Francisco VA Medical Center and University of California, San Francisco, USA
- Department of Medicine, San Francisco VA Medical Health Care System, San Francisco, USA
| | - Deborah Gustafson
- Department of Neurology, SUNY Downstate Medical Center, New York, NY, USA
| | - Roksana Karim
- Department of Clinical Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Anjali Sharma
- Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Mardge Cohen
- Stroger Hospital of Cook County Health and Human Services, Chicago, IL, USA
| | - Julie Dumond
- Division of Pharmacotherapy and Experimental Therapeutics, University of North Carolina Chapel Hill, Chapel Hill, NC, USA
| | - Alison Abraham
- Department of Epidemiology, University of Colorado School of Public Health, Denver, CO, USA
| | - Michelle Estrella
- Kidney Health Research Collaborative, San Francisco VA Medical Center and University of California, San Francisco, USA
- Department of Medicine, San Francisco VA Medical Health Care System, San Francisco, USA
| | - Michael G. Shlipak
- Kidney Health Research Collaborative, San Francisco VA Medical Center and University of California, San Francisco, USA
- Department of Medicine, San Francisco VA Medical Health Care System, San Francisco, USA
| | - Joachim H. Ix
- Kidney Research Innovation Hub of San Diego and Division of Nephrology and Hypertension, University of California San Diego, San Diego, USA
- Veterans Affairs San Diego Healthcare System, San Diego, CA, USA
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Jiang K, Greenberg JH, Abraham A, Xu Y, Schelling JR, Feldman HI, Schrauben SJ, Waikar SS, Shlipak MG, Wettersten N, Coca SG, Vasan RS, Gutierrez OM, Ix JH, Warady BA, Kimmel PL, Bonventre JV, Parikh CR, Mitsnefes MM, Denburg MR, Furth S. Associations of Biomarkers of Kidney Tubule Health, Injury, and Inflammation with Left Ventricular Hypertrophy in Children with CKD. Kidney360 2023; 4:1039-1047. [PMID: 37303083 PMCID: PMC10476681 DOI: 10.34067/kid.0000000000000183] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 05/23/2023] [Indexed: 06/13/2023]
Abstract
Key Points Higher plasma and urine kidney injury molecule-1, urine monocyte chemoattractant protein-1, and lower urine alpha-1-microglobulin were associated with left ventricular hypertrophy, even after adjustment for confounders. Biomarkers of tubular injury, dysfunction, and inflammation may indicate the severity of kidney pathology and are associated with left ventricular hypertrophy. Background Left ventricular hypertrophy (LVH) is common in children with CKD and is associated with an increased risk of cardiovascular disease and mortality. We have shown that several plasma and urine biomarkers are associated with increased risk of CKD progression. As CKD is associated with LVH, we sought to investigate the association between the biomarkers and LVH. Methods In the CKD in Children Cohort Study, children aged 6 months to 16 years with an eGFR of 30–90 ml/min per 1.73 m2 were enrolled at 54 centers in the United States and Canada. We measured plasma biomarkers kidney injury molecule-1 (KIM-1), tumor necrosis factor receptor-1, tumor necrosis factor receptor-2, soluble urokinase-type plasminogen activator receptor and urine KIM-1, monocyte chemoattractant protein-1 (MCP-1), YKL-40, alpha-1-microglobulin (alpha-1m), and epidermal growth factor in stored plasma and urine collected 5 months after enrollment. Echocardiograms were performed 1 year after enrollment. We assessed the cross-sectional association between the log2 biomarker levels and LVH (left ventricular mass index greater than or equal to the 95th percentile) using a Poisson regression model, adjusted for age, sex, race, body mass index, hypertension, glomerular diagnosis, urine protein-to-creatinine ratio, and eGFR at study entry. Results Among the 504 children, LVH prevalence was 12% (n =59) 1 year after enrollment. In a multivariable-adjusted model, higher plasma and urine KIM-1 and urine MCP-1 concentrations were associated with a higher prevalence of LVH (plasma KIM-1 prevalence ratio [PR] per log2: 1.27, 95% confidence interval [CI], 1.02 to 1.58; urine KIM-1 PR: 1.21, 95% CI, 1.11 to 1.48; and urine MCP-1 PR: 1.18, 95% CI, 1.04 to 1.34). After multivariable adjustment for covariates, lower urine alpha-1m was also associated with a higher prevalence of LVH (PR: 0.90, 95% CI, 0.82 to 0.99). Conclusions Higher plasma and urine KIM-1, urine MCP-1, and lower urine alpha-1m were each associated with LVH prevalence in children with CKD. These biomarkers may better inform risk and help elucidate the pathophysiology of LVH in pediatric CKD.
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Affiliation(s)
- Kuan Jiang
- Yale School of Medicine, New Haven, Connecticut
| | | | - Alison Abraham
- University of Colorado, Anschutz Medical Campus, Denver, Colorado
- Johns Hopkins University, Baltimore, Maryland
| | - Yunwen Xu
- Johns Hopkins University, Baltimore, Maryland
| | | | - Harold I. Feldman
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Sarah J. Schrauben
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | | | | | | | - Steven G. Coca
- Icahn School of Medicine at Mount Sinai, New York, New York
| | | | | | - Joachim H. Ix
- University of California San Diego, San Diego, California
| | | | | | | | | | | | | | - Susan Furth
- Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
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Bullen AL, Fregoso A, Ascher SB, Shlipak MG, Ix JH, Rifkin DE. Markers of Kidney Tubule Dysfunction and Major Adverse Kidney Events. Nephron Clin Pract 2023; 147:713-716. [PMID: 37524063 DOI: 10.1159/000531946] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 07/09/2023] [Indexed: 08/02/2023] Open
Abstract
BACKGROUND Serum creatinine and albuminuria are primary markers of glomerular function and injury, respectively. Tubular secretion, acid-base homeostasis, protein reabsorption, among other tubular functions, are largely ignored. This mini-review aimed to discuss how two tubular functions, secretion, and acid-base homeostasis are associated with major adverse kidney events (MAKEs). SUMMARY Proximal tubular secretion is an essential function that allows the elimination of endogenous substances and drugs. Recently discovered endogenous markers in urine and plasma allow a noninvasive way of assessing tubular secretion markers. Several studies have found an association between these markers and a higher risk of chronic kidney disease (CKD) progression and mortality. In a study we recently performed among patients with CKD and at risk of cardiovascular events, lower tubular secretion was associated with an increased risk of acute kidney injury and metabolic acidosis, independent of baseline eGFR and albuminuria. The kidney tubules also play a crucial role in acid-base homeostasis. Although the standard clinical assessment of acidosis consists of measuring serum bicarbonate, urinary ammonium excretion decreases before over metabolic acidosis. Urinary ammonium excretion is associated with CKD progression, a higher risk of kidney failure, and an increased mortality risk, independent of baseline eGFR and albuminuria. KEY MESSAGES Novel biomarkers of kidney tubular health consistently associate with MAKEs, above and beyond baseline eGFR, albuminuria, and other CKD risk factors. Tubular markers may provide new opportunities to improve kidney prognosis, drug dosing, and monitoring for adverse events.
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Affiliation(s)
- Alexander L Bullen
- Nephrology Section, Veterans Affairs San Diego Healthcare System, La Jolla, California, USA
- Division of Nephrology-Hypertension, Department of Medicine, University of California San Diego, San Diego, California, USA
| | - Alma Fregoso
- School of Medicine, University of California San Diego, San Diego, California, USA
| | - Simon B Ascher
- Kidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Health Care System and University of California, San Francisco, California, USA
- Division of Hospital Medicine, University of California Davis, Sacramento, California, USA
| | - Michael G Shlipak
- Kidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Health Care System and University of California, San Francisco, California, USA
| | - Joachim H Ix
- Nephrology Section, Veterans Affairs San Diego Healthcare System, La Jolla, California, USA
- Division of Nephrology-Hypertension, Department of Medicine, University of California San Diego, San Diego, California, USA
| | - Dena E Rifkin
- Nephrology Section, Veterans Affairs San Diego Healthcare System, La Jolla, California, USA
- Division of Nephrology-Hypertension, Department of Medicine, University of California San Diego, San Diego, California, USA
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Chu CD, Xia F, Du Y, Singh R, Tuot DS, Lamprea-Montealegre JA, Gualtieri R, Liao N, Kong SX, Williamson T, Shlipak MG, Estrella MM. Estimated Prevalence and Testing for Albuminuria in US Adults at Risk for Chronic Kidney Disease. JAMA Netw Open 2023; 6:e2326230. [PMID: 37498594 PMCID: PMC10375308 DOI: 10.1001/jamanetworkopen.2023.26230] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 06/16/2023] [Indexed: 07/28/2023] Open
Abstract
Importance Albuminuria testing is crucial for guiding evidence-based treatments to mitigate chronic kidney disease (CKD) progression and cardiovascular morbidity, but it is widely underutilized among persons with or at risk for CKD. Objective To estimate the extent of albuminuria underdetection from lack of testing and evaluate its association with CKD treatment in a large US cohort of patients with hypertension or diabetes. Design, Setting, and Participants This cohort study examined adults with hypertension or diabetes, using data from the 2007 to 2018 National Health and Nutrition Examination Surveys (NHANES) and the Optum deidentified electronic health record (EHR) data set of diverse US health care organizations. Analyses were conducted from October 31, 2022, to May 19, 2023. Main Outcomes and Measures Using NHANES as a nationally representative sample, a logistic regression model was developed to estimate albuminuria (urine albumin-creatinine ratio ≥30 mg/g). This model was then applied to active outpatients in the EHR from January 1, 2017, to December 31, 2018. The prevalence of albuminuria among those with and without albuminuria testing during this period was estimated. A multivariable logistic regression was used to examine associations between having albuminuria testing and CKD therapies within the subsequent year (prescription for angiotensin-converting enzyme inhibitor [ACEi] or angiotensin II receptor blocker [ARB], prescription for sodium-glucose cotransporter 2 inhibitor [SGLT2i], and blood pressure control to less than 130/80 mm Hg or less than 140/90 mm Hg on the latest outpatient measure). Results The total EHR study population included 192 108 patients (mean [SD] age, 60.3 [15.1] years; 185 589 [96.6%] with hypertension; 50 507 [26.2%] with diabetes; mean [SD] eGFR, 84 [21] mL/min/1.73 m2). There were 33 629 patients (17.5%) who had albuminuria testing; of whom 11 525 (34.3%) had albuminuria. Among 158 479 patients who were untested, the estimated albuminuria prevalence rate was 13.4% (n = 21 231). Thus, only 35.2% (11 525 of 32 756) of the projected population with albuminuria had been tested. Albuminuria testing was associated with higher adjusted odds of receiving ACEi or ARB treatment (OR, 2.39 [95% CI, 2.32-2.46]), SGLT2i treatment (OR, 8.22 [95% CI, 7.56-8.94]), and having blood pressure controlled to less than 140/90 mm Hg (OR, 1.20 [95% CI, 1.16-1.23]). Conclusions and Relevance In this cohort study of patients with hypertension or diabetes, it was estimated that approximately two-thirds of patients with albuminuria were undetected due to lack of testing. These results suggest that improving detection of CKD with albuminuria testing represents a substantial opportunity to optimize care delivery for reducing CKD progression and cardiovascular complications.
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Affiliation(s)
- Chi D. Chu
- Department of Medicine, University of California, San Francisco
- Kidney Health Research Collaborative, University of California, San Francisco
| | - Fang Xia
- Gilead Sciences Inc, Foster City, California
| | | | | | | | - Julio A. Lamprea-Montealegre
- Department of Medicine, University of California, San Francisco
- Kidney Health Research Collaborative, University of California, San Francisco
| | | | | | | | | | - Michael G. Shlipak
- Department of Medicine, University of California, San Francisco
- Kidney Health Research Collaborative, University of California, San Francisco
- San Francisco VA Health Care System, San Francisco, California
| | - Michelle M. Estrella
- Department of Medicine, University of California, San Francisco
- Kidney Health Research Collaborative, University of California, San Francisco
- San Francisco VA Health Care System, San Francisco, California
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Cheung KL, Crews DC, Cushman M, Yuan Y, Wilkinson K, Long DL, Judd SE, Shlipak MG, Ix JH, Bullen AL, Warnock DG, Gutiérrez OM. Risk Factors for Incident CKD in Black and White Americans: The REGARDS Study. Am J Kidney Dis 2023; 82:11-21.e1. [PMID: 36621640 PMCID: PMC10293023 DOI: 10.1053/j.ajkd.2022.11.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 11/22/2022] [Indexed: 01/07/2023]
Abstract
RATIONALE & OBJECTIVE Little information exists on the incidence of and risk factors for chronic kidney disease (CKD) in contemporary US cohorts and whether risk factors differ by race, sex, or region in the United States. STUDY DESIGN Observational cohort study. SETTING & PARTICIPANTS 4,198 Black and 7,799 White participants aged at least 45 years, recruited from 2003 through 2007 across the continental United States, with baseline estimated glomerular filtration rate (eGFR)>60mL/min/1.73m2 and eGFR assessed again approximately 9 years later. EXPOSURES Age, sex, race (Black or White), region ("stroke belt" or other), education, income, systolic blood pressure, body mass index, diabetes, coronary heart disease, hyperlipidemia, smoking, and albuminuria. OUTCOMES (1) eGFR change and (2) incident CKD defined as eGFR<60mL/min/1.73m2 and≥40% decrease from baseline or kidney failure. ANALYTICAL APPROACH Linear regression and modified Poisson regression were used to determine the association of risk factors with eGFR change and incident CKD overall and stratified by race, sex, and region. RESULTS Mean age of participants was 63±8 (SD) years, 54% were female, and 35% were Black. After 9.4±1.0 years of follow-up, CKD developed in 9%. In an age-, sex-, and race-adjusted model, Black race (β =-0.13; P<0.001) was associated with higher risk of eGFR change, but this was attenuated in the fully adjusted model (β=0.02; P=0.5). Stroke belt residence was independently associated with eGFR change (β =-0.10; P<0.001) and incident CKD (relative risk, 1.14 [95% CI, 1.01-1.30]). Albuminuria was more strongly associated with eGFR change (β of-0.26 vs-0.17; P=0.01 for interaction) in Black compared with White participants. Results were similar for incident CKD. LIMITATIONS Persons of Hispanic ethnicity were excluded; unknown duration and/or severity of risk factors. CONCLUSIONS Established CKD risk factors accounted for higher risk of incident CKD in Black versus White individuals. Albuminuria was a stronger risk factor for eGFR decrease and incident CKD in Black compared with White individuals. Living in the US stroke belt is a novel risk factor for CKD.
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Affiliation(s)
- Katharine L Cheung
- Divisions of Nephrology, Larner College of Medicine at The University of Vermont, Burlington, Vermont.
| | - Deidra C Crews
- Division of Nephrology, Johns Hopkins University, Baltimore, Maryland
| | - Mary Cushman
- Hematology/Oncology, Department of Medicine, Larner College of Medicine at The University of Vermont, Burlington, Vermont
| | - Ya Yuan
- School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama
| | - Katherine Wilkinson
- Larner College of Medicine at The University of Vermont, Burlington, Vermont
| | - D Leann Long
- School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama
| | - Suzanne E Judd
- School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama
| | - Michael G Shlipak
- Division of Nephrology, University of California, San Francisco, San Francisco, California
| | - Joachim H Ix
- Division of Nephrology, University of California, San Diego, La Jolla, California
| | - Alexander L Bullen
- Division of Nephrology, University of California, San Diego, La Jolla, California
| | - David G Warnock
- Division of Nephrology, University of Alabama at Birmingham, Birmingham, Alabama
| | - Orlando M Gutiérrez
- Division of Nephrology, University of Alabama at Birmingham, Birmingham, Alabama
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Khan MB, Scherzer R, Lewis CE, Malhotra R, Ix JH, Shlipak MG, Gutiérrez OM. Associations of Urine Biomarkers of Kidney Tubule Health With Incident Hypertension and Longitudinal Blood Pressure Change in Middle-Aged Adults: The CARDIA Study. Hypertension 2023; 80:1353-1362. [PMID: 36987923 PMCID: PMC10192098 DOI: 10.1161/hypertensionaha.123.21084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 03/15/2023] [Indexed: 03/30/2023]
Abstract
BACKGROUND Urine biomarkers of kidney tubule injury associate with incident hypertension in older adults with comorbidities, but less is known about these associations in younger adults. METHODS In 1170 participants of the CARDIA study (Coronary Artery Risk Development in Young Adults; mean age, 45 years; 40% Black people; 56% women) without hypertension, cardiovascular disease, or kidney disease at baseline, we examined associations of urine MCP-1 (monocyte chemoattractant protein-1), α1m (alpha-1-microglobulin), KIM-1 (kidney injury molecule-1), EGF (epidermal growth factor), IL (interleukin)-18, YKL-40 (chitinase-3-like protein 1), and UMOD (uromodulin) with incident hypertension (onset of systolic blood pressure [BP] ≥130 mm Hg or diastolic BP ≥80 mm Hg or initiation of hypertension medications) and longitudinal BP change in models adjusted for hypertension risk factors, estimated glomerular filtration rate, and albuminuria. RESULTS After a median 9.9 (interquartile range, 5.9-10.2) years, 376 participants developed incident hypertension. In demographic-adjusted analyses, higher tertiles of EGF associated with lower risk of incident hypertension in both Black and White participants. After multivariable adjustment, the risk of incident hypertension remained lower in tertile 2 (hazard ratio, 0.70 [95% CI, 0.50-0.97]) and tertile 3 (hazard ratio, 0.58 [0.39-0.85]) of EGF versus tertile 1. In fully adjusted models, participants in EGF tertile 3 had smaller 10-year increases in systolic (-3.4 [95% CI, -6.1 to -0.7] mm Hg) and diastolic BP (-2.6 [95% CI, -4.6 to -0.6] mm Hg) than tertile 1. Other biomarkers showed inconsistent associations with incident hypertension and BP change. CONCLUSIONS In middle-aged adults without hypertension, cardiovascular disease, or kidney disease, higher urine EGF associated with lower risk of incident hypertension and lower 10-year BP elevations.
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Affiliation(s)
- Muhammad B. Khan
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - Rebecca Scherzer
- Department of Kidney Health Research Collaborative, San Francisco Veterans Affairs Health Care System and University of California, San Francisco, San Francisco, CA
| | - Cora E. Lewis
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL
| | - Rakesh Malhotra
- Division of Nephrology-Hypertension, University of California, San Diego and Nephrology Section Veterans Affairs San Diego Healthcare System, San Diego, CA
| | - Joachim H. Ix
- Division of Nephrology-Hypertension, University of California, San Diego and Nephrology Section Veterans Affairs San Diego Healthcare System, San Diego, CA
| | - Michael G. Shlipak
- Department of Kidney Health Research Collaborative, San Francisco Veterans Affairs Health Care System and University of California, San Francisco, San Francisco, CA
- Department of Medicine, San Francisco Veterans Affairs Health Care System, San Francisco, CA
| | - Orlando M. Gutiérrez
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL
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Ferrè S, Liu YL, Lambert JW, Katz R, Gianella FG, Drew DA, Shlipak MG, Moe OW, Ix JH, Toto RD, Neyra JA. Serum Magnesium Levels and Cardiovascular Outcomes in Systolic Blood Pressure Intervention Trial Participants. Kidney Med 2023; 5:100634. [PMID: 37235044 PMCID: PMC10206180 DOI: 10.1016/j.xkme.2023.100634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/30/2023] Open
Abstract
Rationale and Objective Serum magnesium levels have been inversely yet inconsistently associated with cardiovascular (CV) outcomes. In this study, we examined the association of serum magnesium levels with CV outcomes in the Systolic Blood Pressure Intervention Trial (SPRINT) participants. Study Design Case-control post hoc analysis of SPRINT. Setting & Participants A total of 2,040 SPRINT participants with available serum samples at baseline level were included in this study. Case participants (n = 510) who experienced a CV event during the SPRINT observation period (median follow-up of 3.2 years) and control participants (n = 1,530) without CV events were sampled in a 1:3 ratio for measurements of serum magnesium level at baseline and 2-year follow-up. Predictors Baseline serum magnesium levels and 2-year percentage change in serum magnesium levels (ΔSMg). Outcome SPRINT primary composite CV outcome. Analytical Approach Multivariable conditional logistic regression analysis, accounting for matching factors, was used to evaluate the association of baseline and ΔSMg with CV outcomes. Individual matching of cases and controls was based on the SPRINT treatment arm allocation (standard vs intensive) and prevalence of chronic kidney disease (CKD). Results The median serum magnesium level at baseline was similar among the case and control groups. In a fully adjusted model, each standard deviation (SD) (0.18 mg/dL) higher of the baseline serum magnesium level was independently associated with a lower risk for composite CV outcomes in all study participants (adjusted odds ratio 95% CI, 0.79 [0.70-0.89]). This association was similar when serum magnesium levels were analyzed in quartiles but dissipated in the standard (vs intensive) arm of SPRINT (0.88 [0.76-1.02] vs 0.65 [0.53-0.79], respectively; Pinteraction = 0.06). The presence or absence of CKD at baseline did not modify this association. ΔSMg was not independently associated with CV outcomes occurring after 2 years. Limitations ΔSMg was small in magnitude, limiting effect size. Conclusions Higher baseline serum magnesium levels were independently associated with reduced risk for CV outcomes in all study participants, but ΔSMg was not associated with CV outcomes.
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Affiliation(s)
- Silvia Ferrè
- Department of Scientific Activities, National Kidney Foundation, New York, NY
- Division of Nephrology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX
| | - Yu-Lun Liu
- Peter O’Donnell Jr School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX
| | | | - Ronit Katz
- Department of Obstetrics and Gynecology, University of Washington, Seattle, WA
| | - Fabiola G. Gianella
- Charles and Jane Pak Center for Mineral Metabolism and Clinical Research, University of Texas Southwestern Medical Center, Dallas, TX
| | - David A. Drew
- Division of Nephrology, Tufts Medical Center, Boston, MA
| | - Michael G. Shlipak
- Kidney Health Research Collaborative, San Francisco VA Health Care System, San Francisco, CA
| | - Orson W. Moe
- Division of Nephrology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX
- Charles and Jane Pak Center for Mineral Metabolism and Clinical Research, University of Texas Southwestern Medical Center, Dallas, TX
- Department of Physiology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Joachim H. Ix
- Nephrology Section, Veterans Affairs San Diego Healthcare System, La Jolla, CA
- Division of Nephrology and Hypertension, Department of Medicine, University of California San Diego, San Diego, CA
- Herbert Wertheim School of Public Health, University of California San Diego, San Diego, CA
| | - Robert D. Toto
- Division of Nephrology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX
- Charles and Jane Pak Center for Mineral Metabolism and Clinical Research, University of Texas Southwestern Medical Center, Dallas, TX
| | - Javier A. Neyra
- Charles and Jane Pak Center for Mineral Metabolism and Clinical Research, University of Texas Southwestern Medical Center, Dallas, TX
- Department of Medicine, Division of Nephrology, University of Alabama at Birmingham, Birmingham, Alabama
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Ilori TO, Brooks MS, Desai PN, Cheung KL, Judd SE, Crews DC, Cushman M, Winkler CA, Shlipak MG, Kopp JB, Naik RP, Estrella MM, Gutiérrez OM, Kramer H. Dietary Patterns, Apolipoprotein L1 Risk Genotypes, and CKD Outcomes Among Black Adults in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) Cohort Study. Kidney Med 2023; 5:100621. [PMID: 37229446 PMCID: PMC10202773 DOI: 10.1016/j.xkme.2023.100621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2023] Open
Abstract
Rationale & Objective Dietary factors may impact inflammation and interferon production, which could influence phenotypic expression of Apolipoprotein1 (APOL1) genotypes. We investigated whether associations of dietary patterns with kidney outcomes differed by APOL1 genotypes. Study Design Prospective cohort. Settings & Participants 5,640 Black participants in the Reasons for Geographic and Racial Differences in Stroke (REGARDS). Exposures Five dietary patterns derived from food frequency questionnaires: Convenience foods, Southern, Sweets and Fats, Plant-based, and Alcohol/Salads. Outcomes Incident chronic kidney disease (CKD), CKD progression, and kidney failure. Incident CKD was defined as a change in estimated glomerular filtration rate (eGFR) to <60 mL/min/1.73 m2 accompanied by a ≥25% decline from baseline eGFR or development of kidney failure among those with baseline eGFR ≥60 mL/1.73 m2 body surface area. CKD progression was defined as a composite of 40% reduction in eGFR from baseline or development of kidney failure in the subset of participants who had serum creatinine levels at baseline and completed a second in-home visit/follow-up visit. Analytical Approach We examined associations of dietary pattern quartiles with incident CKD (n=4,188), CKD progression (n=5,640), and kidney failure (n=5,640). We tested for statistical interaction between dietary patterns and APOL1 genotypes for CKD outcomes and explored stratified analyses by APOL1 genotypes. Results Among 5,640 Black REGARDS participants, mean age was 64 years (standard deviation = 9), 35% were male, and 682 (12.1%) had high-risk APOL1 genotypes. Highest versus lowest quartiles (Q4 vs Q1) of Southern dietary pattern were associated with higher adjusted odds of CKD progression (OR, 1.28; 95% CI, 1.01-1.63) but not incident CKD (OR, 0.92; 95% CI, 0.74-1.14) or kidney failure (HR, 1.48; 95% CI, 0.90-2.44). No other dietary patterns showed significant associations with CKD. There were no statistically significant interactions between APOL1 genotypes and dietary patterns. Stratified analysis showed no consistent associations across genotypes, although Q3 and Q4 versus Q1 of Plant-based and Southern patterns were associated with lower odds of CKD progression among APOL1 high- but not low-risk genotypes. Limitations Included overlapping dietary patterns based on a single time point and multiple testing. Conclusions In Black REGARDS participants, Southern dietary pattern was associated with increased risk of CKD progression. Analyses stratified by APOL1 genotypes suggest associations may differ by genetic background, but these findings require confirmation in other cohorts.
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Affiliation(s)
- Titilayo O. Ilori
- Division of Nephrology, Department of Medicine, Boston Medical Center, Boston University School of Medicine, Boston, MA
| | - Marquita S. Brooks
- Department of Biostatistics, School of Public Health, University of Alabama, Birmingham, AB
| | - Parin N. Desai
- Division of Nephrology and Hypertension, Loyola University Chicago, Maywood, IL
| | - Katharine L. Cheung
- Division of Nephrology, Department of Medicine, Larner College of Medicine at The University of Vermont, Burlington, VT
| | - Suzanne E. Judd
- Department of Biostatistics, School of Public Health, University of Alabama, Birmingham, AB
| | - Deidra C. Crews
- Division of Nephrology, Department of Medicine, John Hopkins School of Medicine, Baltimore, MD
| | - Mary Cushman
- Division of Hematology, Department of Medicine, Larner College of Medicine at The University of Vermont, Burlington, VT
| | - Cheryl A. Winkler
- Basic Research Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health and Leidos Biomedical Research, Frederick National Laboratory, Frederick, MD
| | - Michael G. Shlipak
- Department of Medicine, University of California, San Francisco, San Francisco, CA
| | - Jeffrey B. Kopp
- Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), NIH, Bethesda, MD
| | - Rakhi P. Naik
- Division of Hematology, Department of Medicine, John Hopkins School of Medicine, Baltimore, MD
| | - Michelle M. Estrella
- Division of Nephrology, Department of Medicine, San Francisco VA Medical Center, San Francisco, CA
| | - Orlando M. Gutiérrez
- Division of Nephrology, Department of Medicine, University of Alabama, Birmingham, AB
| | - Holly Kramer
- Department of Public Health Sciences Division of Nephrology and Hypertension, Loyola University, Chicago, IL
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Mehta R, Buzkova P, Patel H, Cheng J, Kizer JR, Gottdiener JS, Psaty B, Khan SS, Ix JH, Isakova T, Shlipak MG, Bansal N, Shah SJ. Cardiac Mechanics and Kidney Function Decline in the Cardiovascular Health Study. Kidney360 2023; 4:622-630. [PMID: 36888990 PMCID: PMC10278816 DOI: 10.34067/kid.0000000000000100] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 01/26/2023] [Indexed: 03/10/2023]
Abstract
Key Points Two-dimensional speckle-tracking echocardiography (2D-STE) can detect early changes in cardiac mechanics and may be able to identify individuals at risk for kidney disease progression. Novel indices of cardiac mechanics on 2D-STE may identify a population that may benefit from early diagnosis, monitoring, and treatment. Novel pharmacologic therapies may be beneficial in patients with subclinical myocardial dysfunction at risk for kidney function decline. Background Clinical heart failure frequently coexists with CKD and may precipitate kidney function decline. However, whether earlier-stage myocardial dysfunction assessable by speckle-tracking echocardiography (STE) is a contributor to kidney function decline remains unknown. Methods We studied 2135 Cardiovascular Health Study participants who were free of clinical heart failure and had year 2 baseline 2D-STE and two measurements of eGFR (year 2 and year 9). “Archival” speckle tracking of digitized echocardiogram videotapes was used to measure left ventricular longitudinal strain (LVLS), LV early diastolic strain rate (EDSR), left atrial reservoir strain (LARS), right ventricular free wall strain (RVFWS), and mitral annular velocity (e′). Multivariable Poisson regression models that adjusted for demographics and cardiovascular risk factors (RFs) were used to investigate the independent associations of cardiac mechanics indices and decline in kidney function defined as a 30% decline in eGFR over 7 years. Results In RF models, LVLS, EDSR, RVFWS, and e′ were all significantly associated with the prevalence of kidney disease. After multivariable adjustment, left atrial dysfunction (relative risk [RR], 1.18; 95% confidence interval [CI], 1.01 to 1.38 per SD lower LARS) and left ventricular diastolic dysfunction (RR, 1.21; 95% CI, 1.04 to 1.41 per SD lower EDSR) were each significantly associated with 30% decline in eGFR. Conclusions Subclinical myocardial dysfunction suggesting abnormal diastolic function detected by 2D-STE was independently associated with decline in kidney function over time. Further studies are needed to understand the mechanisms of these associations and to test whether interventions that may improve subclinical myocardial dysfunction can prevent decline of kidney function.
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Affiliation(s)
- Rupal Mehta
- Division of Nephrology, Department of Medicine, Northwestern University, Chicago, Illinois
- Center for Translational Metabolism and Heath, Northwestern University, Chicago, Illinois
- Jesse Brown Veterans Administration Hospital System, Chicago, Illinois
| | | | - Harnish Patel
- Division of Cardiology, Department of Medicine, Northwestern University, Chicago, Illinois
| | - Jeanette Cheng
- Division of Cardiology, Department of Medicine, Northwestern University, Chicago, Illinois
| | - Jorge R. Kizer
- Cardiology Section, San Francisco Veterans Administration Health Care System, and Departments of Medicine, Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
| | | | - Bruce Psaty
- University of Washington, Seattle, Washington
| | - Sadiya S. Khan
- Division of Cardiology, Department of Medicine, Northwestern University, Chicago, Illinois
| | - Joachim H. Ix
- Division of Nephrology, Department of Medicine, University of California San Diego, San Diego, California
- Veterans Affairs, San Diego Healthcare System, San Diego, California
| | - Tamara Isakova
- Division of Nephrology, Department of Medicine, Northwestern University, Chicago, Illinois
- Center for Translational Metabolism and Heath, Northwestern University, Chicago, Illinois
| | - Michael G. Shlipak
- Kidney Health Research Collaborative, University of California, San Francisco, San Francisco, California
| | | | - Sanjiv J. Shah
- Division of Cardiology, Department of Medicine, Northwestern University, Chicago, Illinois
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Natov PS, Ivey-Miranda JB, Cox ZL, Moreno-Villagomez J, Maulion C, Bellumkonda L, Shlipak MG, Estrella MM, Borlaug BA, Rao VS, Testani JM. Improvement in Renal Function During the Treatment of Acute Decompensated Heart Failure: Relationship With Markers of Renal Tubular Injury and Prognostic Importance. Circ Heart Fail 2023; 16:e009776. [PMID: 36700431 PMCID: PMC10150783 DOI: 10.1161/circheartfailure.122.009776] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 11/28/2022] [Indexed: 01/27/2023]
Abstract
BACKGROUND Improvement in renal function (IRF) in acute decompensated heart failure is associated with adverse outcomes. The mechanisms driving this paradox remain undefined. METHODS Using the ROSE-AHF study (Renal Optimization Strategies Evaluation-Acute Heart Failure), 277 patients were grouped according to renal function, with IRF defined by a ≥20% increase (N=75), worsening renal function by a ≥20% decline (N=53), and stable renal function (SRF) by a <20% change (N=149) in estimated glomerular filtration rate between baseline and 72 hours. Three well-validated renal tubular injury markers, NGAL (neutrophil gelatinase-associated lipocalin), NAG (N-acetyl-β-d-glucosaminidase), and KIM-1 (kidney injury molecule 1), were evaluated at baseline and 72 hours. Patients were also classified by the pattern of change in these markers. RESULTS Patients with IRF had the lowest admission estimated glomerular filtration rate (IRF, 37 [28 to 51] mL/min per 1.73 m2; worsening renal function, 43 [35 to 55] mL/min per 1.73 m2; and SRF, 43 [32 to 55] mL/min per 1.73 m2; Ptrend=0.032) but greater cumulative urine output (IRF, 8780 [7025 to 11 208] mL; worsening renal function, 7860 [5555 to 9765] mL; and SRF, 8150 [6325 to 10 456] mL; Ptrend=0.024) and weight loss (IRF, -9.0 [-12.4 to -5.3] lb; worsening renal function, -5.1 [-8.1 to -1.3] lb; and SRF, -7.1 [-11.9 to -3.2] lb; Ptrend<0.001) despite similar diuretic doses (Ptrend=0.16). There were no differences in the relative change in NGAL, NAG, or KIM-1 between renal function groups (Ptrend>0.19 for all). Patients with IRF had worse survival than patients with SRF (27% versus 54%; hazard ratio, 1.98 [1.10-3.58]; P=0.024). CONCLUSIONS IRF during decongestive therapy for acute decompensated heart failure was not associated with improved markers of renal tubular injury and was associated with worsened survival, likely driven by the presence of greater underlying cardiorenal dysfunction and more severe congestion.
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Affiliation(s)
- Peter S Natov
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT
| | - Juan B Ivey-Miranda
- Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT
- Hospital de Cardiologia, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - Zachary L Cox
- Department of Pharmacy, Lipscomb University College of Pharmacy, Nashville, TN
| | - Julieta Moreno-Villagomez
- Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT
| | - Christopher Maulion
- Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT
| | - Lavanya Bellumkonda
- Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT
| | - Michael G Shlipak
- Kidney Health Research Collaborative, San Francisco VA Medical Center, and Division of Nephrology, Department of Medicine and University of California, San Francisco, San Francisco, CA
| | - Michelle M Estrella
- Kidney Health Research Collaborative, San Francisco VA Medical Center, and Division of Nephrology, Department of Medicine and University of California, San Francisco, San Francisco, CA
| | - Barry A Borlaug
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Veena S Rao
- Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT
| | - Jeffrey M Testani
- Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT
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Muiru AN, Madden E, Scherzer R, Horberg MA, Silverberg MJ, Klein MB, Mayor AM, John Gill M, Napravnik S, Crane HM, Marconi VC, Koethe JR, Abraham AG, Althoff KN, Lucas GM, Moore RD, Shlipak MG, Estrella MM. Effect of Adopting the New Race-Free 2021 Chronic Kidney Disease Epidemiology Collaboration Estimated Glomerular Filtration Rate Creatinine Equation on Racial Differences in Kidney Disease Progression Among People With Human Immunodeficiency Virus: An Observational Study. Clin Infect Dis 2023; 76:461-468. [PMID: 36069064 PMCID: PMC10169400 DOI: 10.1093/cid/ciac731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 08/24/2022] [Accepted: 09/01/2022] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND The impact of adopting a race-free estimated glomerular filtration rate (eGFR) creatinine (eGFRcr) equation on racial differences in chronic kidney disease (CKD) progression among people with human immunodeficiency virus (PWH) is unknown. METHODS We defined eGFR stages using the original race-adjusted Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) eGFRcr equation and the new race-free CKD-EPI eGFRcr equation. We then estimated 5-year probabilities of transitioning from baseline kidney function to more advanced eGFR stages and examined the association of race (black vs white) with rates of CKD progression using Markov models. RESULTS With the race-adjusted eGFRcr equation, black participants (n = 31 298) had a lower risk of progressing from eGFR stage 1 to 2 (hazard ratio [HR], 0.77; 95% confidence interval [CI], .73-.82), an equal risk of progressing from stage 2 to 3 (1.00; .92-.07) and a 3-fold risk of progressing from stage 3 to 4 or 5 (3.06; 2.60-3.62), compared with white participants (n = 27 542). When we used the race-free eGFRcr equation, 16% of black participants were reclassified into a more severe eGFR stage at baseline. The reclassified black individuals had a higher prevalence of CKD risk factors than black PWH who were not reclassified. With the race-free eGFRcr equation, black participants had a higher risk of disease progression across all eGFR stages than white participants. CONCLUSIONS The original eGFRcr equation systematically masked a subgroup of black PWH who are at high-risk of CKD progression. The new race-free eGFRcr equation unmasks these individuals and may allow for earlier detection and management of CKD.
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Affiliation(s)
- Anthony N Muiru
- Kidney Health Research Collaborative, Department of Medicine, University of California, San Francisco, California, USA
- Division of Nephrology, Department of Medicine, University of California, San Francisco, California, USA
| | - Erin Madden
- Kidney Health Research Collaborative, Department of Medicine, University of California, San Francisco, California, USA
- San Francisco VA Health Care System, San Francisco, California, USA
| | - Rebecca Scherzer
- Kidney Health Research Collaborative, Department of Medicine, University of California, San Francisco, California, USA
- San Francisco VA Health Care System, San Francisco, California, USA
| | - Michael A Horberg
- Kaiser Permanente Mid-Atlantic Permanente Research Institute, Rockville, Maryland, USA
| | | | - Marina B Klein
- Division of Infectious Diseases and Chronic Viral Illness Service, McGill University Health Centre, Montreal, Quebec, Canada
| | - Angel M Mayor
- Retrovirus Research Center, Internal Medicine Department, Universidad Central del Caribe, School of Medicine,Bayamon, Puerto Rico, USA
| | - M John Gill
- Department of Medicine, University of Calgary, Southern Alberta HIV Clinic, Calgary, Alberta, Canada
| | - Sonia Napravnik
- Division of Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Heidi M Crane
- Division of Allergy and Infectious Diseases, Center for AIDS Research, University of Washington, Seattle, Washington, USA
| | - Vincent C Marconi
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
- Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - John R Koethe
- Division of Infectious Diseases, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Alison G Abraham
- Department of Epidemiology, School of Public Health University of Colorado, Anschutz Medical Campus, Aurora, Colorado, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Keri N Althoff
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Gregory M Lucas
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Richard D Moore
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Michael G Shlipak
- Kidney Health Research Collaborative, Department of Medicine, University of California, San Francisco, California, USA
- San Francisco VA Health Care System, San Francisco, California, USA
| | - Michelle M Estrella
- Kidney Health Research Collaborative, Department of Medicine, University of California, San Francisco, California, USA
- Division of Nephrology, Department of Medicine, University of California, San Francisco, California, USA
- San Francisco VA Health Care System, San Francisco, California, USA
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Chen DC, Lees JS, Lu K, Scherzer R, Rutherford E, Mark PB, Kanaya AM, Shlipak MG, Estrella MM. Differential Associations of Cystatin C Versus Creatinine-Based Kidney Function With Risks of Cardiovascular Event and Mortality Among South Asian Individuals in the UK Biobank. J Am Heart Assoc 2023; 12:e027079. [PMID: 36695320 PMCID: PMC9973614 DOI: 10.1161/jaha.122.027079] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 12/09/2022] [Indexed: 01/26/2023]
Abstract
Background South Asian individuals have increased cardiovascular disease and mortality risks. Reliance on creatinine- rather than cystatin C-based estimated glomerular filtration rate (eGFRcys) may underestimate the cardiovascular disease risk associated with chronic kidney disease. Methods and Results Among 7738 South Asian UK BioBank participants without prevalent heart failure (HF) or atherosclerotic cardiovascular disease, we investigated associations of 4 eGFRcys and creatinine-based estimated glomerular filtration rate categories (<45, 45-59, 60-89, and ≥90 mL/min per 1.73 m2) with risks of all-cause mortality, incident HF, and incident atherosclerotic cardiovascular disease. The mean age was 53±8 years; 4085 (53%) were women. Compared with creatinine, cystatin C identified triple the number of participants with estimated glomerular filtration <45 (n=35 versus n=113) and 6 times the number with estimated glomerular filtration 45 to 59 (n=80 versus n=481). After multivariable adjustment, the eGFRcys 45 to 59 category was associated with higher risks of mortality (hazard ratio [HR], 2.38 [95% CI, 1.55-3.65]) and incident HF (sub-HR [sHR], 1.87 [95% CI, 1.09-3.22]) versus the eGFRcys ≥90 category; the creatinine-based estimated glomerular filtration rate 45 to 59 category had no significant associations with outcomes. Of the 7623 participants with creatinine-based estimated glomerular filtration rate ≥60, 498 (6.5%) were reclassified into eGFRcys <60 categories. Participants who were reclassified as having eGFRcys <45 had higher risks of mortality (HR, 4.88 [95% CI, 2.56-9.31]), incident HF (sHR, 4.96 [95% CI, 2.21-11.16]), and incident atherosclerotic cardiovascular disease (sHR, 2.29 [95% CI, 1.14-4.61]) versus those with eGFRcys ≥90; those reclassified as having eGFRcys 45 to 59 had double the mortality risk (HR, 2.25 [95% CI, 1.45-3.51]). Conclusions Among South Asian individuals, cystatin C identified a high-risk chronic kidney disease population that was not detected by creatinine and enhanced estimated glomerular filtration rate-based risk stratification for mortality, incident HF, and incident atherosclerotic cardiovascular disease.
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Affiliation(s)
- Debbie C. Chen
- Division of Nephrology, Department of MedicineUniversity of California, San FranciscoSan FranciscoCA
- Kidney Health Research CollaborativeSan Francisco VA Medical Center & University of California, San FranciscoSan FranciscoCA
- Genentech, Inc.South San FranciscoCA
| | - Jennifer S. Lees
- Institute of Cardiovascular and Medical SciencesUniversity of GlasgowUnited Kingdom
- Glasgow Renal and Transplant UnitQueen Elizabeth University HospitalGlasgowUnited Kingdom
| | - Kaiwei Lu
- Kidney Health Research CollaborativeSan Francisco VA Medical Center & University of California, San FranciscoSan FranciscoCA
- Department of Medicine, San Francisco VA Health Care SystemSan FranciscoCA
| | - Rebecca Scherzer
- Kidney Health Research CollaborativeSan Francisco VA Medical Center & University of California, San FranciscoSan FranciscoCA
- Department of Medicine, San Francisco VA Health Care SystemSan FranciscoCA
| | - Elaine Rutherford
- Institute of Cardiovascular and Medical SciencesUniversity of GlasgowUnited Kingdom
- Renal Unit, Mountainhall Treatment Centre, NHS Dumfries and GallowayDumfriesUnited Kingdom
| | - Patrick B. Mark
- Institute of Cardiovascular and Medical SciencesUniversity of GlasgowUnited Kingdom
- Glasgow Renal and Transplant UnitQueen Elizabeth University HospitalGlasgowUnited Kingdom
| | - Alka M. Kanaya
- Department Epidemiology and BiostatisticsUniversity of California, San FranciscoSan FranciscoCA
- Department of MedicineUniversity of California, San FranciscoSan FranciscoCA
| | - Michael G. Shlipak
- Kidney Health Research CollaborativeSan Francisco VA Medical Center & University of California, San FranciscoSan FranciscoCA
- Department of Medicine, San Francisco VA Health Care SystemSan FranciscoCA
- Department Epidemiology and BiostatisticsUniversity of California, San FranciscoSan FranciscoCA
| | - Michelle M. Estrella
- Division of Nephrology, Department of MedicineUniversity of California, San FranciscoSan FranciscoCA
- Kidney Health Research CollaborativeSan Francisco VA Medical Center & University of California, San FranciscoSan FranciscoCA
- Department of Medicine, San Francisco VA Health Care SystemSan FranciscoCA
- Division of Nephrology, Department of Medicine, San Francisco VA Health Care SystemSan FranciscoCA
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Berry JD, Chen H, Nambi V, Ambrosius WT, Ascher SB, Shlipak MG, Ix JH, Gupta R, Killeen A, Toto RD, Kitzman DW, Ballantyne CM, de Lemos JA. Effect of Intensive Blood Pressure Control on Troponin and Natriuretic Peptide Levels: Findings From SPRINT. Circulation 2023; 147:310-323. [PMID: 36533535 DOI: 10.1161/circulationaha.122.059960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 10/31/2022] [Indexed: 12/23/2022]
Abstract
BACKGROUND Given the important role of cardiac injury and neurohormonal activation in the pathways leading from hypertension to heart failure and strong associations observed between hypertension and its sequelae on hs-cTnT (high-sensitivity cardiac troponin T) and NT-proBNP (N-terminal pro-B-type natriuretic peptide) levels, we hypothesized that intensive systolic blood pressure (SBP) lowering would decrease levels of hs-cTnT and NT-proBNP. METHODS hs-cTnT and NT-proBNP were measured at baseline and 1 year from stored specimens in SPRINT (Systolic Blood Pressure Intervention Trial). Changes in biomarkers were evaluated continuously on the log scale and according to categories (≥50% increase, ≥50% decrease, or <50% change). The effect of intensive SBP lowering on continuous and categorical changes in biomarker levels were assessed using linear and multinomial logistic regression models, respectively. The association between changes in biomarkers on heart failure and death was assessed using multivariable-adjusted Cox proportional hazards models. RESULTS Randomization to intensive SBP lowering (versus standard SBP management) resulted in a 3% increase in hs-cTnT levels over 1-year follow-up (geometric mean ratio, 1.03 [95% CI, 1.01-1.04]) and a higher proportion of participants with ≥50% increase (odds ratio, 1.47 [95% CI, 1.13, 1.90]). In contrast, randomization to intensive SBP lowering led to a 10% decrease in NT-proBNP (geometric mean ratio, 0.90 [95% CI, 0.87-0.93]) and a lower probability of ≥50% increase in NT-proBNP (odds ratio, 0.57 [95% CI, 0.46-0.72]). The association of randomized treatment assignment on change in hs-cTnT was completely attenuated after accounting for changes in estimated glomerular filtration rate over follow-up, whereas the association of treatment with NT-proBNP was completely attenuated after adjusting for change in SBP. Increases in hs-cTnT and NT-proBNP from baseline to 1 year were associated with higher risk for heart failure and death, with no significant interactions by treatment assignment. CONCLUSIONS Intensive SBP lowering increased hs-cTnT, mediated by the effect of SBP lowering on reduced kidney filtration. In contrast, intensive SBP lowering decreased NT-proBNP, a finding that was explained by the decrease in SBP. These findings highlight the importance of noncardiac factors influencing variation in cardiac biomarkers and raise questions about the potential role of hs-cTnT as a surrogate marker for heart failure or death in SBP-lowering studies.
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Affiliation(s)
- Jarett D Berry
- Department of Internal Medicine, University of Texas at Tyler School of Medicine (J.D.B.)
- Department of Internal Medicine, University of Texas Southwestern Medical School, Dallas (J.D.B., R.D.T., J.A.d.)
| | - Haiying Chen
- Department of Biostatistics and Data Science, Division of Public Health Sciences (H.C., W.T.A.), Wake Forest School of Medicine, Winston-Salem, NC
| | - Vijay Nambi
- Michael E DeBakey Veterans Affairs Hospital and Baylor College of Medicine, Houston, TX (V.N.)
| | - Walter T Ambrosius
- Department of Biostatistics and Data Science, Division of Public Health Sciences (H.C., W.T.A.), Wake Forest School of Medicine, Winston-Salem, NC
| | - Simon B Ascher
- Kidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Health Care System and University of California San Francisco (S.B.A., M.G.S.)
- Division of Hospital Medicine, University of California Davis, Sacramento (S.B.A.)
| | - Michael G Shlipak
- Kidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Health Care System and University of California San Francisco (S.B.A., M.G.S.)
| | - Joachim H Ix
- Division of Nephrology-Hypertension, University of California San Diego (J.H.I.)
- Nephrology Section, Veterans Affairs San Diego Healthcare System, CA (J.H.I.)
| | - Rajesh Gupta
- Department of Medicine, Division of Cardiology, University of Toledo Medical Center, OH (R.G.)
| | - Anthony Killeen
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis (A.K.)
| | - Robert D Toto
- Department of Internal Medicine, University of Texas Southwestern Medical School, Dallas (J.D.B., R.D.T., J.A.d.)
| | - Dalane W Kitzman
- Department of Internal Medicine, Sections on Cardiovascular Medicine and Geriatrics (D.W.K.), Wake Forest School of Medicine, Winston-Salem, NC
| | - Christie M Ballantyne
- Department of Medicine and Center for Cardiometabolic Disease Prevention (C.M.B.), Baylor College of Medicine, Houston, TX
| | - James A de Lemos
- Department of Internal Medicine, University of Texas Southwestern Medical School, Dallas (J.D.B., R.D.T., J.A.d.)
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Malhotra R, Katz R, Kimmel PL, Vasan RS, Schelling JS, Greenberg JH, Parikh CR, Bonventre JV, Al-Rousan T, Sarnak MJ, Gutierrez OM, Shlipak MG, Ix JH. Biomarkers of kidney tubule injury and dysfunction and risk of incident hypertension in community-living individuals: results from the multi-ethnic study of atherosclerosis. Nephrol Dial Transplant 2023; 38:246-248. [PMID: 36307927 PMCID: PMC9869850 DOI: 10.1093/ndt/gfac293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Indexed: 01/26/2023] Open
Affiliation(s)
- Rakesh Malhotra
- Division of Nephrology and Hypertension, Department of Medicine, University of California San Diego, San Diego, CA, USA
| | - Ronit Katz
- Department of Obstetrics and Gynecology, University of Washington, Seattle, WA, USA
| | - Paul L Kimmel
- Division of Kidney, Urology and Hematologic Disease, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Ramachandran S Vasan
- Division of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Jeffrey S Schelling
- Division of Nephrology, Department of Medicine, MetroHealth Medical Center/Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Jason H Greenberg
- Section of Nephrology, Department of Pediatrics, Clinical and Translational Research Accelerator, Yale School of Medicine, New Haven, CT, USA
| | - Chirag R Parikh
- Division of Nephrology, Department of Medicine, John Hopkins School of Medicine, Baltimore, MA, USA
| | - Joseph V Bonventre
- Renal Division and Division of Engineering in Medicine, Brigham and Women's Hospital, Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Tala Al-Rousan
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, San Diego, CA, USA
| | - Mark J Sarnak
- Division of Nephrology, Department of Medicine, Tufts Medical Center, Boston, MA, USA
| | - Orlando M Gutierrez
- Division of Nephrology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Michael G Shlipak
- Kidney Health Research Collaborative, San Francisco Veterans Affairs Medical Center and University of California, San Francisco, CA, USA
| | - Joachim H Ix
- Division of Nephrology and Hypertension, Department of Medicine, University of California San Diego, San Diego, CA, USA
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, San Diego, CA, USA
- Nephrology Section, Veteran Affairs San Diego Healthcare System, La Jolla, CA, USA
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Chen TK, Coca SG, Thiessen-Philbrook HR, Heerspink HJ, Obeid W, Ix JH, Fried LF, Bonventre JV, El-Khoury JM, Shlipak MG, Parikh CR. Urinary Biomarkers of Tubular Health and Risk for Kidney Function Decline or Mortality in Diabetes. Am J Nephrol 2023; 53:775-785. [PMID: 36630924 PMCID: PMC10006337 DOI: 10.1159/000528918] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Accepted: 12/20/2022] [Indexed: 01/12/2023]
Abstract
INTRODUCTION Diabetes is a leading cause of end-stage kidney disease (ESKD). Biomarkers of tubular health may prognosticate chronic kidney disease (CKD) progression beyond estimated glomerular filtration rate (eGFR) and urine albumin-to-creatinine ratio (UACR). METHODS We examined associations of five urinary biomarkers of tubular injury and repair (NGAL, KIM-1, IL-18, MCP-1, YKL-40) with kidney function decline (first occurrence of a decrease in eGFR ≥30 mL/min/1.73 m2 if randomization eGFR ≥60 or ≥50% if randomization eGFR <60; ESKD) and all-cause mortality among 1,135 VA NEPHRON-D trial participants with baseline UACR ≥300 mg/g and available urine samples. Covariates included age, sex, race, BMI, systolic BP, HbA1c, treatment arm, eGFR, and UACR. In a subset of participants with 12-month samples (n = 712), we evaluated associations of KIM-1, MCP-1, and YKL-40 change (from baseline to 12 months) with eGFR decline (from 12 months onward). RESULTS At baseline, mean age was 65 years, mean eGFR was 56 mL/min/1.73 m2, and median UACR was 840 mg/g. Over a median of 2.2 years, 13% experienced kidney function decline and 9% died. In fully adjusted models, the highest versus lowest quartiles of MCP-1 and YKL-40 were associated with 2.18- and 1.76-fold higher risks of kidney function decline, respectively. One-year changes in KIM-1, MCP-1, and YKL-40 were not associated with subsequent eGFR decline. Higher baseline levels of NGAL, IL-18, MCP-1, and YKL-40 levels (per 2-fold higher) were independently associated with 10-40% higher risk of mortality. CONCLUSION Among Veterans with diabetes and CKD, urinary biomarkers of tubular health were associated with kidney function decline and mortality.
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Affiliation(s)
- Teresa K. Chen
- Kidney Health Research Collaborative and Department of Medicine, University of California, San Francisco, California and San Francisco VA Health Care System, San Francisco, California, USA
| | - Steven G. Coca
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Heather R. Thiessen-Philbrook
- Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | | | - Wassim Obeid
- Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Joachim H. Ix
- Division of Nephrology-Hypertension, Department of Medicine, University of California San Diego, and Veterans Affairs San Diego Healthcare System, San Diego, California, USA
| | - Linda F. Fried
- Renal Section, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA
- Departments of Medicine, Epidemiology, and Clinical and Translational Science, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Joseph V. Bonventre
- Division of Renal Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Joe M. El-Khoury
- Department of Laboratory Medicine, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Michael G. Shlipak
- Kidney Health Research Collaborative and Department of Medicine, University of California, San Francisco, California and San Francisco VA Health Care System, San Francisco, California, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
| | - Chirag R. Parikh
- Division of Nephrology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA
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Matsushita K, Kaptoge S, Hageman SHJ, Sang Y, Ballew SH, Grams ME, Surapaneni A, Sun L, Arnlov J, Bozic M, Brenner H, Brunskill NJ, Chang AR, Chinnadurai R, Cirillo M, Correa A, Ebert N, Eckardt KU, Gansevoort RT, Gutierrez O, Hadaegh F, He J, Hwang SJ, Jafar TH, Jassal SK, Kayama T, Kovesdy CP, Landman GW, Levey AS, Lloyd-Jones DM, Major RW, Miura K, Muntner P, Nadkarni GN, Nowak C, Ohkubo T, Pena MJ, Polkinghorne KR, Sairenchi T, Schaeffner E, Schneider MP, Shalev V, Shlipak MG, Solbu MD, Stempniewicz N, Tollitt J, Valdivielso JM, van der Leeuw J, Wang AYM, Wen CP, Woodward M, Yamagishi K, Yatsuya H, Zhang L, Dorresteijn JAN, Di Angelantonio E, Visseren FLJ, Pennells L, Coresh J. Including measures of chronic kidney disease to improve cardiovascular risk prediction by SCORE2 and SCORE2-OP. Eur J Prev Cardiol 2023; 30:8-16. [PMID: 35972749 PMCID: PMC9839538 DOI: 10.1093/eurjpc/zwac176] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 08/08/2022] [Accepted: 08/10/2022] [Indexed: 01/17/2023]
Abstract
AIMS The 2021 European Society of Cardiology (ESC) guideline on cardiovascular disease (CVD) prevention categorizes moderate and severe chronic kidney disease (CKD) as high and very-high CVD risk status regardless of other factors like age and does not include estimated glomerular filtration rate (eGFR) and albuminuria in its algorithms, systemic coronary risk estimation 2 (SCORE2) and systemic coronary risk estimation 2 in older persons (SCORE2-OP), to predict CVD risk. We developed and validated an 'Add-on' to incorporate CKD measures into these algorithms, using a validated approach. METHODS In 3,054 840 participants from 34 datasets, we developed three Add-ons [eGFR only, eGFR + urinary albumin-to-creatinine ratio (ACR) (the primary Add-on), and eGFR + dipstick proteinuria] for SCORE2 and SCORE2-OP. We validated C-statistics and net reclassification improvement (NRI), accounting for competing risk of non-CVD death, in 5,997 719 participants from 34 different datasets. RESULTS In the target population of SCORE2 and SCORE2-OP without diabetes, the CKD Add-on (eGFR only) and CKD Add-on (eGFR + ACR) improved C-statistic by 0.006 (95%CI 0.004-0.008) and 0.016 (0.010-0.023), respectively, for SCORE2 and 0.012 (0.009-0.015) and 0.024 (0.014-0.035), respectively, for SCORE2-OP. Similar results were seen when we included individuals with diabetes and tested the CKD Add-on (eGFR + dipstick). In 57 485 European participants with CKD, SCORE2 or SCORE2-OP with a CKD Add-on showed a significant NRI [e.g. 0.100 (0.062-0.138) for SCORE2] compared to the qualitative approach in the ESC guideline. CONCLUSION Our Add-ons with CKD measures improved CVD risk prediction beyond SCORE2 and SCORE2-OP. This approach will help clinicians and patients with CKD refine risk prediction and further personalize preventive therapies for CVD.
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Affiliation(s)
- Kunihiro Matsushita
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Stephen Kaptoge
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Steven HJ Hageman
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Yingying Sang
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Shoshana H Ballew
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Morgan E Grams
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Aditya Surapaneni
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Luanluan Sun
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Johan Arnlov
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Milica Bozic
- Vascular & Renal Translational Research Group, IRBLleida, Spain and Spanish Research Network for Renal Diseases (RedInRen. ISCIII) , Lleida , Spain
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ) and Network Aging Research, University of Heidelberg, Heidelberg, Germany
| | - Nigel J Brunskill
- John Walls Renal Unit, Leicester General Hospital, University Hospitals of Leicester NHS Trust, Leicester, United Kingdom, Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom
| | - Alex R Chang
- Department of Nephrology and Kidney Health Research Institute, Geisinger Medical Center, Danville, Pennsylvania
| | - Rajkumar Chinnadurai
- Department of Renal Medicine, Salford Care Organisation, Northern Care Alliance NHS Foundation Trust, Salford, UK
| | - Massimo Cirillo
- Department of Public Health, University of Naples “Federico II”, Italy
| | | | - Natalie Ebert
- Institute of Public Health, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Kai-Uwe Eckardt
- Department of Nephrology and Hypertension, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany; Department of Nephrology and Medical Intensive Care, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Ron T Gansevoort
- Department of Nephrology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Orlando Gutierrez
- Departments of Epidemiology and Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - Farzad Hadaegh
- Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA
| | - Shih-Jen Hwang
- National Heart, Lung, and Blood Institute, Framingham, Massachusetts
| | - Tazeen H Jafar
- Program in Health Services and Systems Research, Duke-National University of Singapore Medical School, Singapore, Department of Medicine, Aga Khan University, Karachi, Pakistan, and Duke Global Health Institute, Durham, Duke University, North Carolina
| | - Simerjot K Jassal
- Division of General Internal Medicine, University of California, San Diego and VA San Diego Healthcare, San Diego, California
| | - Takamasa Kayama
- Global Center of Excellence, Yamagata University Faculty of Medicine, Yamagata, Japan; Department of Public Health Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba, Japan
| | - Csaba P Kovesdy
- Medicine-Nephrology, Memphis Veterans Affairs Medical Center and University of Tennessee Health Science Center, Memphis, Tennessee
| | | | - Andrew S Levey
- Division of Nephrology, Tufts Medical Center, Boston, Massachusetts
| | | | - Rupert W Major
- John Walls Renal Unit, Leicester General Hospital, University Hospitals of Leicester NHS Trust, Leicester, United Kingdom, Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom
| | - Katsuyuki Miura
- NCD Epidemiology Research Center, Shiga University of Medical Science, Shiga, Japan
| | - Paul Muntner
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama
| | - Girish N Nadkarni
- Department of Medicine, Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Christoph Nowak
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Takayoshi Ohkubo
- Department of Hygiene and Public Health, Teikyo University School of Medicine, Tokyo, Japan
| | - Michelle J Pena
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | | | - Toshimi Sairenchi
- Medical Science of Nursing, Dokkyo Medical University School of Nursing, Mibu, Japan
| | - Elke Schaeffner
- Institute of Public Health, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Markus P Schneider
- Department of Nephrology and Hypertension, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Varda Shalev
- Institute for Health and Research and Innovation, Maccabi Healthcare Services and Tel Aviv University, Tel Aviv, Israel
| | - Michael G Shlipak
- Kidney Health Research Collaborative, University of California, San Francisco, and San Francisco VA Healthcare System, San Francisco
| | - Marit D Solbu
- Section of Nephrology, University Hospital of North Norway, Tromsø, Norway and UiT The Arctic University of Norway, Tromsø, Norway
| | - Nikita Stempniewicz
- AMGA (American Medical Group Association), Alexandria, Virginia and OptumLabs Visiting Fellow
| | - James Tollitt
- Department of Renal Medicine, Salford Care Organisation, Northern Care Alliance NHS Foundation Trust, Salford, UK; Renal Department, University of Manchester, Oxford Road, Manchester, United Kingdom
| | - José M Valdivielso
- Vascular & Renal Translational Research Group, IRBLleida, Spain and Spanish Research Network for Renal Diseases (RedInRen. ISCIII) , Lleida , Spain
| | - Joep van der Leeuw
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Angela Yee-Moon Wang
- Department of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong
| | - Chi-Pang Wen
- China Medical University Hospital, Taichung, Taiwan
| | - Mark Woodward
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Kazumasa Yamagishi
- George Institute for Global Health, Australia, and George Institute for Global Health, Imperial College, London, United Kingdom
| | - Hiroshi Yatsuya
- Department of Public Health, Fujita Health University School of Medicine, Aichi, Japan and Department of Public Health and Health Systems, Nagoya University Graduate School of Medicine, Aichi, Japan
| | - Luxia Zhang
- Peking University First Hospital and Peking University, Beijing, China
| | - Jannick AN Dorresteijn
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Emanuele Di Angelantonio
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom; Health Data Science Centre, Human Technopole, Milan, Italy
| | - Frank LJ Visseren
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Lisa Pennells
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
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48
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Wen D, Zhou L, Zheng Z, Surapaneni A, Ballantyne CM, Hoogeveen RC, Shlipak MG, Waikar SS, Vasan RS, Kimmel PL, Dubin RF, Deo R, Feldman HI, Ganz P, Coresh J, Grams ME, Rhee EP. Testican-2 Is Associated with Reduced Risk of Incident ESKD. J Am Soc Nephrol 2023; 34:122-131. [PMID: 36288905 PMCID: PMC10101586 DOI: 10.1681/asn.2022020216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 08/23/2022] [Accepted: 11/14/2022] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Testican-2 was recently identified as a podocyte-derived protein that is released into circulation by the kidneys and is positively correlated with eGFR and eGFR slope. However, whether higher testican-2 levels are associated with lower risk of ESKD is unknown. METHODS Aptamer-based proteomics assessed blood testican-2 levels among participants in the African American Study of Kidney Disease and Hypertension (AASK, n =703), the Chronic Renal Insufficiency Cohort (CRIC) study ( n =3196), and the Atherosclerosis Risk in Communities (ARIC) study ( n =4378). We compared baseline characteristics by testican-2 tertile and used Cox proportional hazards models to study the association of testican-2 with incident ESKD. RESULTS Higher testican-2 levels were associated with higher measured GFR (mGFR) in AASK, higher eGFR in the CRIC and ARIC studies, and lower albuminuria in all cohorts. Baseline testican-2 levels were significantly associated with incident ESKD in Cox proportional hazards models adjusted for age, sex, and race (model 1) and model 1+mGFR or eGFR+comorbidities (model 2). In model 3 (model 2+proteinuria), the associations between testican-2 (per SD increase) and incident ESKD were AASK (hazard ratio [HR]=0.84 [0.72 to 0.98], P =0.023), CRIC (HR=0.95 [0.89 to 1.02], P =0.14), ARIC (HR=0.54 [0.36 to 0.83], P =0.0044), and meta-analysis (HR=0.92 [0.86 to 0.98], P =0.0073). CONCLUSIONS Across three cohorts spanning >8000 individuals, testican-2 is associated with kidney health and prognosis, with higher levels associated with reduced risk of ESKD.
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Affiliation(s)
- Donghai Wen
- Nephrology Division, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts
- Endocrine Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Linda Zhou
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Zihe Zheng
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Aditya Surapaneni
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Christie M Ballantyne
- Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Ron C Hoogeveen
- Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Michael G Shlipak
- Kidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Health Care System
- University of California, San Francisco, California
| | - Sushrut S Waikar
- Section of Nephrology, Department of Medicine, Boston University School of Medicine and Boston Medical Center, Boston, Massachusetts
| | - Ramachandran S Vasan
- Sections of Preventive Medicine and Epidemiology and Cardiology, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Paul L Kimmel
- Division of Kidney Urologic and Hematologic Diseases, National Institutes of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland
| | - Ruth F Dubin
- Division of Nephrology, San Francisco VA Medical Center, University of California, San Francisco, California
| | - Rajat Deo
- Division of Cardiology, Electrophysiology Section, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Harold I Feldman
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Peter Ganz
- Cardiovascular Division, Zuckerberg San Francisco General Hospital, University of California, San Francisco, California
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Morgan E Grams
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Eugene P Rhee
- Nephrology Division, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts
- Endocrine Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts
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Rizk JG, Streja E, Wenziger C, Shlipak MG, Norris KC, Crowley ST, Kalantar-Zadeh K. Serum Creatinine-to-Cystatin-C Ratio as a Potential Muscle Mass Surrogate and Racial Differences in Mortality. J Ren Nutr 2023; 33:69-77. [PMID: 34923112 DOI: 10.1053/j.jrn.2021.11.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 11/02/2021] [Accepted: 11/22/2021] [Indexed: 01/25/2023] Open
Abstract
OBJECTIVES Serum creatinine-based estimated glomerular filtration rate equations and muscle mass are powerful markers of health and mortality risk. However, the serum creatinine-to-cystatin-C ratio may be a better indicator of health status. The objective of this study was to describe the relationship between creatinine-to-cystatin-C ratio and all-cause mortality when stratifying patients as per race and as per chronic kidney disease status. METHODS This was a retrospective cohort study examining black and nonblack US veterans between October 2004 and September 2019, with baseline cystatin C and creatinine data from those not on dialysis during the study period. Veterans were divided into four creatinine-to-cystatin-C ratio groups: <0.75, 0.75-<1.00, 1.0-<1.25, and ≥1.25. The primary outcome of interest was all-cause mortality subsequent to the cystatin C laboratory measure. RESULTS Among 22,316 US veterans, the mean (± standard deviation) age of the cohort was 67 ± 14 years, 5% were female, 82% were nonblack, and 18% were black. The proportion of black veterans increased across creatinine-to-cystatin-C ratio groups. In the fully adjusted model, compared with the reference (creatinine-to-cystatin-C ratio: 1.00-<1.25), a creatinine-to-cystatin-C ratio <0.75 had the highest mortality risk among both black and nonblack veterans (nonblack: hazard ratio [HR] [95% confidence interval {CI}]: 3.01 [2.78-3.26] and black: 4.17 [3.31-5.24]). A creatinine-to-cystatin-ratio ≥1.25 was associated with lower death risk than the referent in both groups (nonblack: HR [95% CI]: 0.89 [0.80-0.99] and black: HR [95% CI]: 0.55 [0.45-0.69]). However, there was a significant difference in the effect by race (Wald's P-value: <0.01). CONCLUSIONS Higher creatinine-to-cystatin-C ratios indicate better health status and are strongly associated with lower mortality risk regardless of the kidney function level, and the relation was similar for both black and nonblack veterans, but with different strengths of effect across racial groups. Thereby, use of a fixed race coefficient in estimating kidney function may be biased.
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Affiliation(s)
- John G Rizk
- Department of Pharmaceutical Health Services Research, University of Maryland, Baltimore, MD
| | - Elani Streja
- Harold Simmons Center for Kidney Disease Research and Epidemiology, Division of Nephrology and Hypertension, University of California Irvine, School of Medicine, Orange, CA; Division of Nephrology, Tibor Rubin VA Medical Center, Long Beach, CA.
| | - Cachet Wenziger
- Harold Simmons Center for Kidney Disease Research and Epidemiology, Division of Nephrology and Hypertension, University of California Irvine, School of Medicine, Orange, CA; Division of Nephrology, Tibor Rubin VA Medical Center, Long Beach, CA
| | - Michael G Shlipak
- Kidney Health Research Collaborative, Department of Medicine, University of California San Francisco and San Francisco VA Medical Center, San Francisco, CA
| | | | | | - Kamyar Kalantar-Zadeh
- Harold Simmons Center for Kidney Disease Research and Epidemiology, Division of Nephrology and Hypertension, University of California Irvine, School of Medicine, Orange, CA; Division of Nephrology, Tibor Rubin VA Medical Center, Long Beach, CA
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50
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Vasquez-Rios G, Moledina DG, Jia Y, McArthur E, Mansour SG, Thiessen-Philbrook H, Shlipak MG, Koyner JL, Garg AX, Parikh CR, Coca SG. Pre-operative kidney biomarkers and risks for death, cardiovascular and chronic kidney disease events after cardiac surgery: the TRIBE-AKI study. J Cardiothorac Surg 2022; 17:338. [PMID: 36567329 PMCID: PMC9790121 DOI: 10.1186/s13019-022-02066-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Accepted: 12/08/2022] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Soluble tumor necrosis factor receptor (sTNFR)1, sTNFR2, and plasma kidney injury molecule-1 (KIM-1) are associated with kidney events in patients with and without diabetes. However, their associations with clinical outcomes when obtained pre-operatively have not been explored. METHODS The TRIBE-AKI cohort study is a prospective, multicenter, cohort study of high-risk adults undergoing cardiac surgery. We assessed the associations between pre-operative concentrations of plasma sTNFR1, sTNFR2, and KIM-1 and post-operative long-term outcomes including mortality, cardiovascular events, and chronic kidney disease (CKD) incidence or progression after discharge. RESULTS Among 1378 participants included in the analysis with a median follow-up period of 6.7 (IQR 4.0-7.9) years, 434 (31%) patients died, 256 (19%) experienced cardiovascular events and out of 837 with available long-term kidney function data, 30% developed CKD. After adjustment for clinical covariates, each log increase in biomarker concentration was independently associated with mortality with 95% CI adjusted hazard ratios (aHRs) of 3.0 (2.3-4.0), 2.3 (1.8-2.9), and 2.0 (1.6-2.4) for sTNFR1, sTNFR2, and KIM-1, respectively. For cardiovascular events, the 95% CI aHRs were 2.1 (1.5-3.1), 1.9 (1.4-2.6) and 1.6 (1.2-2.1) for sTNFR1, sTNFR2 and KIM-1, respectively. For CKD events, the aHRs were 2.2 (1.5-3.1) for sTNFR1, 1.9 (1.3-2.7) for sTNFR2, and 1.7 (1.3-2.3) for KIM-1. Despite the associations, each of the biomarkers alone or in combination failed to result in robust discrimination on an absolute basis or compared to a clinical model. CONCLUSION sTNFR1, sTNFR2, and KIM-1 were independently associated with longitudinal outcomes after discharge from a cardiac surgery hospitalization including death, cardiovascular, and CKD events when obtained pre-operatively in high-risk individuals. Pre-operative plasma biomarkers could serve to assist during the evaluation of patients in whom cardiac surgery is planned.
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Affiliation(s)
- George Vasquez-Rios
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1243, New York, NY, 10029, USA
| | - Dennis G Moledina
- Section of Nephrology and Clinical and Translational Research Accelerator, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Yaqi Jia
- Division of Nephrology, School of Medicine, Johns Hopkins University, 1830 E. Monument St., Suite 416, Baltimore, MD, 21287, USA
| | | | - Sherry G Mansour
- Section of Nephrology and Clinical and Translational Research Accelerator, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Heather Thiessen-Philbrook
- Division of Nephrology, School of Medicine, Johns Hopkins University, 1830 E. Monument St., Suite 416, Baltimore, MD, 21287, USA
| | - Michael G Shlipak
- Kidney Health Research Collaborative, University of California San Francisco, San Francisco, CA, USA.,Department of Medicine, San Francisco VA Medical Center and University of California, San Francisco, USA
| | - Jay L Koyner
- Section of Nephrology, Department of Medicine, Pritzker School of Medicine University of Chicago, Chicago, USA
| | - Amit X Garg
- ICES, Toronto, ON, Canada.,Division of Nephrology, Department of Medicine, Western University, London, ON, Canada
| | - Chirag R Parikh
- Division of Nephrology, School of Medicine, Johns Hopkins University, 1830 E. Monument St., Suite 416, Baltimore, MD, 21287, USA.
| | - Steven G Coca
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1243, New York, NY, 10029, USA.
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