Evidence map›Paper›PMID 38809898›Full record

ArticlePloS one2024

Demographic trends of cardiorenal and heart failure deaths in the United States, 2011-2020.

Joseph J Shearer, Maryam Hashemian, Robert G Nelson, Helen C Looker, Alanna M Chamberlain, Tiffany M Powell-Wiley, Eliseo J Pérez-Stable, Véronique L Roger

Abstract read
In one paragraph

Article in PloS one, 2024. 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
–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

12 citing papers in PubMed.

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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

8 authors.

Joseph J ShearerHeart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, United States of America.ORCID 0000-0002-1443-7428
Maryam HashemianHeart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
Robert G NelsonChronic Kidney Disease Section, Phoenix Epidemiology & Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, Arizona, United States of America.ORCID 0000-0001-7307-3786
Helen C LookerChronic Kidney Disease Section, Phoenix Epidemiology & Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, Arizona, United States of America.
Alanna M ChamberlainDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, United States of America.
Tiffany M Powell-WileySocial Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
Eliseo J Pérez-StableMinority Health and Health Disparities Population Laboratory, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
Véronique L RogerHeart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, United States of America.

Funding

Tailoring Mobile Health Technology to Reduce Obesity and ImproveCardiovascular Health in Resource-Limited Neighborhood Environments: A Multi-Level, Community-Based Physical Activity InterventionZIAHL006225 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI POWELL-WILEY, TIFFANY · 2017 to 2025
$9.7M
Intramural Research Programs NHLBI National Heart Lung and Blood InstituteNIH National Institutes of Health & NIDDK National Institute of Diabetes and Digestive and Kidney DiseasesNIMHD NIH HHS
6 · The paper itself

Abstract

backgroundHeart failure (HF) and kidney disease frequently co-occur, increasing mortality risk. The cardiorenal syndrome results from damage to either the heart or kidney impacting the other organ. The epidemiology of cardiorenal syndrome among the general population is incompletely characterized and despite shared risk factors with HF, differences in mortality risk across key demographics have not been well described. Thus, the primary goal of this study was to analyze annual trends in cardiorenal-related mortality, evaluate if these trends differed by age, sex, and race or ethnicity, and describe these trends against a backdrop of HF mortality. METHODS AND

findingsThe Centers for Disease Control and Prevention Wide-ranging ONline Data for Epidemiologic Research database was used to examine cardiorenal- and HF-related mortality in the US between 2011and 2020. International Classification of Diseases, 10 Revision codes were used to classify cardiorenal-related deaths (I13.x) and HF-related deaths (I11.0, I13.0, I13.2, and I50.x), among decedents aged 15 years or older. Decedents were further stratified by age group, sex, race, or ethnicity. Crude and age-adjusted mortality rates (AAMR) per 100,000 persons were calculated. A total of 97,135 cardiorenal-related deaths and 3,453,655 HF-related deaths occurred. Cardiorenal-related mortality (AAMR, 3.26; 95% CI: 3.23-3.28) was significantly lower than HF-related mortality (AAMR, 115.7; 95% CI: 115.6-115.8). The annual percent change (APC) was greater and increased over time for cardiorenal-related mortality (2011-2015: APC, 7.1%; 95% CI: 0.7-13.9%; 2015-2020: APC, 19.7%, 95% CI: 16.3-23.2%), whereas HF-related mortality also increased over that time period, but at a consistently lower rate (2011-2020: APC, 2.4%; 95% CI: 1.7-3.1%). Mortality was highest among older and male decedents for both causes. Cardiorenal-related deaths were more common in non-Hispanic or Latino Blacks compared to Whites, but similar rates were observed for HF-related mortality. A larger proportion of cardiorenal-related deaths, compared to HF-related deaths, listed cardiorenal syndrome as the underlying cause of death (67.0% vs. 1.2%).

conclusionsHF-related deaths substantially outnumber cardiorenal-related deaths; however, cardiorenal-related deaths are increasing at an alarming rate with the highest burden among non-Hispanic or Latino Blacks. Continued surveillance of cardiorenal-related mortality trends is critical and future studies that contain detailed biomarker and social determinants of health information are needed to identify mechanisms underlying differences in mortality trends.

Indexed as

Cardio-Renal SyndromeHeart FailureAdolescentAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedRisk FactorsUnited StatesYoung Adult

Identifiers

PMID38809898
PMCPMC11135744

What OpenQuestion holds

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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.