Evidence map›Paper›PMID 31553981›Full record

ArticleAmerican journal of nephrology2019

Associations of Urine Biomarkers with Kidney Function Decline in HIV-Infected and Uninfected Men.

Simon B Ascher, Rebecca Scherzer, Michelle M Estrella, Michael G Shlipak, Derek K Ng, Frank J Palella, Mallory D Witt, Ken Ho, Michael R Bennett, Chirag R Parikh and 2 more

Open access · bronzeAbstract readComparative StudyMulticenter Study
In one paragraph

Article in American journal of nephrology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 19 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 7 institutions in 1 country.

Simon B AscherKidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Medical Center and University of California, San Francisco, California, USA.
Rebecca ScherzerKidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Medical Center and University of California, San Francisco, California, USA.
Michelle M EstrellaKidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Medical Center and University of California, San Francisco, California, USA.
Michael G ShlipakKidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Medical Center and University of California, San Francisco, California, USA.
Derek K NgDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Frank J PalellaDivision of Infectious Disease, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Mallory D WittDepartment of Medicine, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, California, USA.
Ken HoDivision of Infectious Diseases, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Michael R BennettDivision of Nephrology and Hypertension, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Chirag R ParikhDivision of Nephrology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Joachim H IxDivision of Nephrology-Hypertension, University of California, San Diego, California, USA.
Vasantha JotwaniKidney Health Research Collaborative, Department of Medicine, San Francisco Veterans Affairs Medical Center and University of California, San Francisco, California, USA, vasantha.jotwani@ucsf.edu.
San Francisco VA Medical Center · USJohns Hopkins University · USCincinnati Children's Hospital Medical Center · USNorthwestern University · USThe Lundquist Institute · USUniversity of California San Diego · USUniversity of Pittsburgh · US

Funding

NATURAL HISTORY OF AIDS IN HOMOSEXUAL MENU01AI035040 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DETELS, ROGER, MARTINEZ-MAZA, OTONIEL · 1993 to 2018
$75.2M
University of Pittsburgh Multicenter AIDS Cohort Study (MACS)U01AI035041 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MARTINSON, JEREMY JAMES, RINALDO, CHARLES R · 1993 to 2018
$71.4M
MULTICENTER AIDS COHORT STUDYU01AI035039 · NIAID · NORTHWESTERN UNIVERSITY AT CHICAGO · PI WOLINSKY, STEVEN M · 1993 to 2018
$66.4M
Multicenter Aids Cohort Study- Part B (Baltimore Site)U01AI035042 · NIAID · JOHNS HOPKINS UNIVERSITY · PI BROWN, TODD T, MARGOLICK, JOSEPH B. · 1993 to 2018
$61.5M
Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Center for the Analysis & Management of the Multicenter AIDS Cohort StudyUM1AI035043 · NIAID · JOHNS HOPKINS UNIVERSITY · PI D'SOUZA, GYPSYAMBER, JACOBSON, LISA P · 2012 to 2018
$20.7M
The Aging Kidney in HIV-Infection: biomarkers for early detection of injuryR01AG034853 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI ESTRELLA, MICHELLE M, SHLIPAK, MICHAEL G · 2010 to 2025
$9.6M
Biomarkers of Drug-induced Kidney Injury in HIVK23DK109868 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOTWANI, VASANTHA KOLAVENNU · 2016 to 2020
$993k
Novel biomarkers of kidney injury in HIV-infected menF32DK103451 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOTWANI, VASANTHA KOLAVENNU · 2014 to 2015
$157k
NCATS NIH HHS UL1 TR001079NIAID NIH HHS U01 AI035039NIAID NIH HHS U01 AI035040NIAID NIH HHS U01 AI035041NIAID NIH HHS U01 AI035042NIAID NIH HHS UM1 AI035043NIA NIH HHS R01 AG034853NIDDK NIH HHS F32 DK103451NIDDK NIH HHS K23 DK109868
6 · The paper itself

Abstract

backgroundHIV-infected (HIV+) persons are at increased risk of chronic kidney disease, but serum creatinine does not detect early losses in kidney function. We hypothesized that urine biomarkers of kidney damage would be associated with subsequent changes in kidney function in a contemporary cohort of HIV+ and HIV-uninfected (HIV-) men.

methodsIn the Multicenter AIDS Cohort Study, we measured baseline urine concentrations of 5 biomarkers from 2009 to 2011 in 860 HIV+ and 337 HIV- men: albumin, alpha-1-microglobulin (α1m), interleukin-18 (IL-18), kidney injury molecule-1 (KIM-1), and procollagen type III N-terminal propeptide (PIIINP). We evaluated associations of urine biomarker concentrations with annual changes in estimated glomerular filtration rate (eGFR) using multivariable linear mixed models adjusted for demographics, traditional kidney disease risk factors, HIV-related risk factors, and baseline eGFR.

resultsOver a median follow-up of 4.8 years, the average annual eGFR decline was 1.42 mL/min/1.73 m2/year in HIV+ men and 1.22 mL/min/1.73 m2/year in HIV- men. Among HIV+ men, the highest vs. lowest tertiles of albumin (-1.78 mL/min/1.73 m2/year, 95% CI -3.47 to -0.09) and α1m (-2.43 mL/min/1.73 m2/year, 95% CI -4.14 to -0.73) were each associated with faster annual eGFR declines after multivariable adjustment. Among HIV- men, the highest vs. lowest tertile of α1m (-2.49 mL/min/1.73 m2/year, 95% CI -4.48 to -0.50) was independently associated with faster annual eGFR decline. Urine IL-18, KIM-1, and PIIINP showed no independent associations with eGFR decline, regardless of HIV serostatus.

conclusionsAmong HIV+ men, higher urine albumin and α1m are associated with subsequent declines in kidney function, independent of eGFR.

Indexed as

BiomarkersCohort StudiesFollow-Up StudiesGlomerular Filtration RateHIV InfectionsHumansKidney Function TestsMaleMiddle AgedRenal Insufficiency, ChronicRisk FactorsSexual and Gender MinoritiesTime FactorsUnited StatesBiomarkersAlbuminuriaAlpha-1-microglobulinHIVKidney damageUrine biomarker

Identifiers

PMID31553981
PMCPMC6856405
OpenAlexW2975830700

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.