Evidence map›Paper›PMID 39166432›Full record

ArticleJournal of the American Heart Association2024

Heart Failure Risk Prediction in a Population With a High Burden of Diabetes: Evidence From the Strong Heart Study.

Irene Martinez-Morata, Arce Domingo-Relloso, Ying Zhang, Amanda M Fretts, Gernot Pichler, Jose Manuel Garcia Pinilla, Jason G Umans, Shelley A Cole, Yifei Sun, Daichi Shimbo and 2 more

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Review
  2. Article
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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.

Irene Martinez-MorataDepartment of Environmental Health Sciences Mailman School of Public Health Columbia University New York NY USA.ORCID 0000-0003-3165-4931
Arce Domingo-RellosoDepartment of Environmental Health Sciences Mailman School of Public Health Columbia University New York NY USA.ORCID 0000-0001-6928-8290
Ying ZhangCenter for American Indian Health Research, Department of Biostatistics and Epidemiology University of Oklahoma Health Sciences Center Oklahoma City OK USA.ORCID 0000-0001-6945-3743
Amanda M FrettsCardiovascular Health Research Unit, Department of Epidemiology University of Washington Seattle WA USA.ORCID 0000-0002-5358-2345
Gernot PichlerDepartment of Cardiology Karl Landsteiner Institute for Cardiovascular and Critical Care Research, Clinic Floridsdorf Vienna Austria.
Jose Manuel Garcia PinillaCardiology Department Hospital Universitario Virgen de la Victoria, IBIMA-BIONAND, University of Malaga Malaga Spain.ORCID 0000-0001-5999-5741
Jason G UmansMedStar Health Research Institute Hyattsville MD USA.ORCID 0000-0002-2746-3350
Shelley A ColePopulation Health Program Texas Biomedical Research Institute San Antonio TX USA.ORCID 0000-0002-2651-0127
Yifei SunDepartment of Biostatistics Mailman School of Public Health Columbia University New York NY USA.ORCID 0000-0002-6961-5500
Daichi ShimboDepartment of Medicine Columbia University Irving Medical Center New York NY USA.ORCID 0000-0001-6302-8834
Ana Navas-AcienDepartment of Environmental Health Sciences Mailman School of Public Health Columbia University New York NY USA.ORCID 0000-0001-9824-7797
Richard B DevereuxDepartment of Medicine Weill Cornell Medicine New York NY USA.

Funding

The Southwest National Primate Research Center Supplement- Infrastructure improvements of ABSL2 holding areasP51OD011133 · OD · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI Larry S. Schlesinger · 2012 to 2026
$129.7M
True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Ami R Zota · 1998 to 2026
$44.7M
Research Experience and Training Coordination CoreP42ES033719 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Mary Gamble · 2022 to 2026
$11.9M
CARDIOVASCULAR EVALUATION--STRONG HEART STUDY PHASE IVU01HL065521 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI DEVEREUX, RICHARD B · 2000 to 2013
$4.3M
NHLBI NIH HHS U01 HL065521NIEHS NIH HHS P30 ES009089NIEHS NIH HHS P42 ES033719NIH HHS P51 OD011133
6 · The paper itself

Abstract

backgroundDespite the high burden of diabetes and cardiovascular risk factors in American Indian communities in the United States, prospective studies of heart failure (HF) in this population group are scarce, and the generalizability of previous HF risk scales may be limited. We developed a parsimonious HF risk prediction equation that accounts for relevant risk factors affecting American Indian communities, focusing on diabetes and kidney damage. METHODS AND

resultsA total of 3059 participants from the SHS (Strong Heart Study) (56±8 years of age, 58% women) were included. Five hundred seven developed HF. Progressively adjusted Cox proportional hazards models were used to identify risk factors for HF and HF subtypes. Predictors of risk at 5 and 10 years included older age (hazard ratio [HR], 1.79 [95% CI, 1.43-2.25]; HR, 1.68 [95% CI, 1.44-1.95]), smoking (HR, 2.26 [95% CI, 1.23-4.13]; HR, 2.08 [95% CI, 1.41-3.06]), macroalbuminuria (HR, 8.38 [95% CI, 4.44-15.83]; HR, 5.20 [95% CI, 3.42-7.9]), microalbuminuria (HR, 2.72 [95% CI, 1.51-4.90]; HR, 1.92 [95% CI, 1.33, 2.78]), and previous myocardial infarction (HR, 6.58 [95% CI, 2.54-17.03]; HR, 3.87 [95% CI, 2.29-6.54]), respectively. These predictors, together with diabetes diagnosis and glycated hemoglobin were significant at 10 and 28 years. High discrimination performance was achieved (C index, 0.81 [95% CI, 0.76-0.84]; C index, 0.78 [95% CI, 0.75-0.81]; and C index, 0.77 [95% CI, 0.74-0.78] at 5, 10, and up to 28 years of follow up, respectively). Some associations varied across HF subtypes, although diabetes, albuminuria, and previous myocardial infarction were associated with all subtypes.

conclusionsThis prospective study of HF risk factors in American Indian communities identifies that smoking, body mass index, and indicators of diabetes control and kidney damage (glycated hemoglobin and albuminuria) are major determinants of HF. Our findings can improve HF risk assessment in populations with a high burden of diabetes.

Indexed as

Diabetes MellitusHeart FailureAgedFemaleHumansIndians, North AmericanMaleMiddle AgedPrognosisProspective StudiesRisk AssessmentRisk FactorsTime FactorsUnited StatesalbuminuriaAmerican Indiancardiovasculardiabetesheart failurerisk prediction

Identifiers

PMID39166432
PMCPMC11646532

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Registered trials

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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.