Literature DB >> 31378102

Distinct Dimensions of Kidney Health and Risk of Cardiovascular Disease, Heart Failure, and Mortality.

Alexandra K Lee1, Ronit Katz2, Vasantha Jotwani1, Pranav S Garimella3, Walter T Ambrosius4, Alfred K Cheung5,6, Lisa H Gren7, Javier A Neyra8,9, Henry Punzi10, Kalani L Raphael5, Michael G Shlipak1, Joachim H Ix3.   

Abstract

Chronic kidney disease is a strong risk factor for cardiovascular disease (CVD), but clinical kidney measures (estimated glomerular filtration rate and albuminuria) do not fully reflect the multiple aspects of kidney tubules influencing cardiovascular health. Applied methods are needed to integrate numerous tubule biomarkers into useful prognostic scores. In SPRINT (Systolic Blood Pressure Intervention Trial) participants with chronic kidney disease at baseline (estimated glomerular filtration ratecr&cys <60 mL/minute per 1.73 m2), we measured 8 biomarkers from urine (α1M [α1M microglobulin], β2M [β2M microglobulin], umod [uromodulin], KIM-1 [kidney injury molecule-1], MCP-1 [monocyte chemoattractant protein-1], YKL-40 [chitinase-3-like protein-1], NGAL [neutrophil gelatinase-associated lipocalin], and IL-18 [interleukin 18]) and 2 biomarkers from serum (intact parathyroid hormone, iFGF-23 [intact fibroblast growth factor-23]). We used an unsupervised method, exploratory factor analysis, to create summary scores of tubule health dimensions. Adjusted Cox models evaluated each tubule score with CVD events, heart failure, and all-cause mortality. We examined CVD discrimination using Harrell C-statistic. Factor analysis of 10 biomarkers from 2376 SPRINT-chronic kidney disease participants identified 4 unique dimensions of tubular health: tubule injury/repair (NGAL, IL-18, YKL-40), tubule injury/fibrosis (KIM-1, MCP-1), tubule reabsorption (α1M, β2M), and tubular reserve/mineral metabolism (umod, intact parathyroid hormone, iFGF-23). After adjustment for CVD risk factors, estimated glomerular filtration rate, and albumin-to-creatinine ratio, 2 of the 4 tubule scores were associated with CVD (hazard ratio per SD; reabsorption, 1.21 [1.06-1.38]; reserve, 1.24 (1.08-1.38]), 1 with heart failure (reserve, 1.41 [1.13-1.74]), and none with mortality. Compared with a base model (C-statistic=0.674), adding estimated glomerular filtration rate and albumin-to-creatinine ratio improved the C-statistic (C=0.704; P=0.001); further adding tubule scores additionally improved the C-statistic (C=0.719; P=0.009). In the setting of chronic kidney disease, dimensions of tubule health quantified using factor analysis improved CVD discrimination beyond contemporary kidney measures. Clinical Trial Registration- URL: http://www.clinicaltrials.gov. Unique identifier: NCT01206062.

Entities:  

Keywords:  albuminuria; biomarker; cardiovascular diseases; epidemiology; kidney

Mesh:

Substances:

Year:  2019        PMID: 31378102      PMCID: PMC6739187          DOI: 10.1161/HYPERTENSIONAHA.119.13339

Source DB:  PubMed          Journal:  Hypertension        ISSN: 0194-911X            Impact factor:   10.190


  30 in total

Review 1.  alpha(1)-Microglobulin: a yellow-brown lipocalin.

Authors:  B Akerström; L Lögdberg; T Berggård; P Osmark; A Lindqvist
Journal:  Biochim Biophys Acta       Date:  2000-10-18

2.  The design and rationale of a multicenter clinical trial comparing two strategies for control of systolic blood pressure: the Systolic Blood Pressure Intervention Trial (SPRINT).

Authors:  Walter T Ambrosius; Kaycee M Sink; Capri G Foy; Dan R Berlowitz; Alfred K Cheung; William C Cushman; Lawrence J Fine; David C Goff; Karen C Johnson; Anthony A Killeen; Cora E Lewis; Suzanne Oparil; David M Reboussin; Michael V Rocco; Joni K Snyder; Jeff D Williamson; Jackson T Wright; Paul K Whelton
Journal:  Clin Trials       Date:  2014-06-05       Impact factor: 2.486

3.  The definition, classification, and prognosis of chronic kidney disease: a KDIGO Controversies Conference report.

Authors:  Andrew S Levey; Paul E de Jong; Josef Coresh; Meguid El Nahas; Brad C Astor; Kunihiro Matsushita; Ron T Gansevoort; Bertram L Kasiske; Kai-Uwe Eckardt
Journal:  Kidney Int       Date:  2010-12-08       Impact factor: 10.612

4.  Urine Kidney Injury Biomarkers and Risks of Cardiovascular Disease Events and All-Cause Death: The CRIC Study.

Authors:  Meyeon Park; Chi-Yuan Hsu; Alan S Go; Harold I Feldman; Dawei Xie; Xiaoming Zhang; Theodore Mifflin; Sushrut S Waikar; Venkata S Sabbisetti; Joseph V Bonventre; Josef Coresh; Robert G Nelson; Paul L Kimmel; John W Kusek; Mahboob Rahman; Jeffrey R Schelling; Ramachandran S Vasan; Kathleen D Liu
Journal:  Clin J Am Soc Nephrol       Date:  2017-03-02       Impact factor: 8.237

5.  Estimating glomerular filtration rate from serum creatinine and cystatin C.

Authors:  Lesley A Inker; Christopher H Schmid; Hocine Tighiouart; John H Eckfeldt; Harold I Feldman; Tom Greene; John W Kusek; Jane Manzi; Frederick Van Lente; Yaping Lucy Zhang; Josef Coresh; Andrew S Levey
Journal:  N Engl J Med       Date:  2012-07-05       Impact factor: 91.245

6.  Association of urinary injury biomarkers with mortality and cardiovascular events.

Authors:  Mark J Sarnak; Ronit Katz; Anne Newman; Tamara Harris; Carmen A Peralta; Prasad Devarajan; Michael R Bennett; Linda Fried; Joachim H Ix; Suzanne Satterfield; Eleanor M Simonsick; Chirag R Parikh; Michael G Shlipak
Journal:  J Am Soc Nephrol       Date:  2014-02-07       Impact factor: 10.121

Review 7.  Cardiovascular risk prediction in people with chronic kidney disease.

Authors:  Kunihiro Matsushita; Shoshana H Ballew; Josef Coresh
Journal:  Curr Opin Nephrol Hypertens       Date:  2016-11       Impact factor: 2.894

8.  Chronic Kidney Disease Classification in Systolic Blood Pressure Intervention Trial: Comparison Using Modification of Diet in Renal Disease and CKD-Epidemiology Collaboration Definitions.

Authors:  Michael V Rocco; Arlene Chapman; Glenn M Chertow; Debbie Cohen; Jing Chen; Jeffrey A Cutler; Matthew J Diamond; Barry I Freedman; Amret Hawfield; Eric Judd; Anthony A Killeen; Kent Kirchner; Cora E Lewis; Nicholas M Pajewski; Barry M Wall; Jerry Yee
Journal:  Am J Nephrol       Date:  2016-08-12       Impact factor: 3.754

9.  Urinary interleukin-18 is a marker of human acute tubular necrosis.

Authors:  Chirag R Parikh; Alkesh Jani; Vyacheslav Y Melnikov; Sarah Faubel; Charles L Edelstein
Journal:  Am J Kidney Dis       Date:  2004-03       Impact factor: 8.860

10.  Urinary biomarkers of kidney injury are associated with all-cause mortality in the Women's Interagency HIV Study (WIHS).

Authors:  Ca Peralta; R Scherzer; C Grunfeld; A Abraham; Pc Tien; P Devarajan; M Bennett; Aw Butch; K Anastos; Mh Cohen; M Nowicki; A Sharma; Ma Young; Mj Sarnak; Cr Parikh; Mg Shlipak
Journal:  HIV Med       Date:  2013-12-03       Impact factor: 3.180

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  11 in total

1.  Urinary Biomarkers and Kidney Outcomes: Impact of Indexing Versus Adjusting for Urinary Creatinine.

Authors:  Nicholas Wettersten; Ronit Katz; Michael G Shlipak; Rebecca Scherzer; Sushrut S Waikar; Joachim H Ix; Michelle M Estrella
Journal:  Kidney Med       Date:  2021-04-30

2.  Associations of CKD risk factors and longitudinal changes in urine biomarkers of kidney tubules among women living with HIV.

Authors:  Anthony N Muiru; Rebecca Scherzer; Simon B Ascher; Vasantha Jotwani; Carl Grunfeld; Judy Shigenaga; Kimberly A Spaulding; Derek K Ng; Deborah Gustafson; Amanda B Spence; Anjali Sharma; Mardge H Cohen; Chirag R Parikh; Joachim H Ix; Michelle M Estrella; Michael G Shlipak
Journal:  BMC Nephrol       Date:  2021-08-30       Impact factor: 2.585

Review 3.  The Promise of Tubule Biomarkers in Kidney Disease: A Review.

Authors:  Joachim H Ix; Michael G Shlipak
Journal:  Am J Kidney Dis       Date:  2021-05-27       Impact factor: 8.860

4.  Tubular Kidney Biomarker Insights Through Factor Analysis.

Authors:  Carl P Walther; Julia S Benoit
Journal:  Am J Kidney Dis       Date:  2021-05-20       Impact factor: 11.072

5.  Biomarkers of Kidney Tubule Health, CKD Progression, and Acute Kidney Injury in SPRINT (Systolic Blood Pressure Intervention Trial) Participants.

Authors:  Alexander L Bullen; Ronit Katz; Vasantha Jotwani; Pranav S Garimella; Alexandra K Lee; Michelle M Estrella; Michael G Shlipak; Joachim H Ix
Journal:  Am J Kidney Dis       Date:  2021-04-20       Impact factor: 11.072

6.  Association of Urine Biomarkers of Kidney Tubule Injury and Dysfunction With Frailty Index and Cognitive Function in Persons With CKD in SPRINT.

Authors:  Lindsay M Miller; Dena Rifkin; Alexandra K Lee; Manjula Kurella Tamura; Nicholas M Pajewski; Daniel E Weiner; Tala Al-Rousan; Michael Shlipak; Joachim H Ix
Journal:  Am J Kidney Dis       Date:  2021-02-27       Impact factor: 11.072

7.  Kidney tubule health scores and their associations with incident CKD in women living with HIV.

Authors:  S B Ascher; R Scherzer; M M Estrella; A N Muiru; V K Jotwani; C Grunfeld; J Shigenaga; K A Spaulding; D K Ng; D Gustafson; A B Spence; A Sharma; M H Cohen; C R Parikh; J H Ix; M G Shlipak
Journal:  HIV Med       Date:  2021-03-09       Impact factor: 3.094

8.  1,25-dihydroxyvitamin D as Predictor of Renal Worsening Function in Chronic Kidney Disease. Results From the PASCaL-1,25D Study.

Authors:  Andrea Galassi; Eliana Maria Fasulo; Paola Ciceri; Roberta Casazza; Fabrizio Bonelli; Claudia Zierold; Mariella Calleri; Frank A Blocki; Maria Assunta Palmieri; Claudio Mastronardo; Mario G Cozzolino
Journal:  Front Med (Lausanne)       Date:  2022-03-02

Review 9.  Genomics of Human Fibrotic Diseases: Disordered Wound Healing Response.

Authors:  Rivka C Stone; Vivien Chen; Jamie Burgess; Sukhmani Pannu; Marjana Tomic-Canic
Journal:  Int J Mol Sci       Date:  2020-11-14       Impact factor: 5.923

10.  Kidney function and markers of renal damage after renal denervation. Does method of measurement matter? The Reshape CV-Risk Study.

Authors:  Marit D Solbu; Atena Miroslawska; Jon V Norvik; Bjørn O Eriksen; Terje K Steigen
Journal:  J Clin Hypertens (Greenwich)       Date:  2021-02-16       Impact factor: 3.738

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