Evidence map›Paper›PMID 41034763›Full record

ArticleBMC cardiovascular disorders2025

Prevalence and factors associated with cardiometabolic multimorbidity: a cross-sectional study in older adults of the first Brazilian hypertension registry.

Sandro Rogério Rodrigues Batista, Leandro Ferreira Martins, Priscila Valverde Vitorino de Oliveira, Andréa Araújo Brandão, Eduardo Costa Duarte Barbosa, Audes Diógenes M Feitosa, Marcus Vinícius Bolivar Malachias, Marco Mota Gomes, Celso Amodeo, Rui Manoel Dos Santos Póvoa and 5 more

Abstract read
In one paragraph

Article in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

15 authors.

Sandro Rogério Rodrigues BatistaFaculty of Medicine, Federal University of Goiás, Goiânia, Brazil. sandrorbatista@ufg.br.ORCID 0000-0001-7356-522X
Leandro Ferreira MartinsFaculty of Medicine, Federal University of Goiás, Goiânia, Brazil.ORCID 0009-0003-4139-5467
Priscila Valverde Vitorino de OliveiraHypertension Unit, Federal University of Goiás, Goiânia, Brazil.ORCID 0000-0002-5487-4649
Andréa Araújo BrandãoRio de Janeiro State University, Rio de Janeiro, Brazil.ORCID 0000-0002-7040-396X
Eduardo Costa Duarte BarbosaPorto Alegre Institute of Cardiology, Porto Alegre, Brazil.ORCID 0000-0002-4361-936X
Audes Diógenes M FeitosaCardiology Emergency Service, University of Pernambuco, Recife, Brazil.ORCID 0000-0002-9983-4720
Marcus Vinícius Bolivar MalachiasMinas Gerais School of Medical Sciences, Lucas Machado Educational Foundation, Belo Horizonte, Brazil.ORCID 0000-0002-8171-3920
Marco Mota GomesAlagoas State University of Medical Sciences, Maceió, Brazil.ORCID 0000-0002-6652-1533
Celso AmodeoDante Pazzanese Institute of Cardiology, São Paulo, Brazil.ORCID 0000-0002-8523-760X
Rui Manoel Dos Santos PóvoaFederal University of São Paulo, São Paulo, Brazil.ORCID 0000-0002-4295-9151
Renato Delascio LopesDivision of Cardiology, Duke University, Durham, USA.ORCID 0000-0003-2999-4961
Paulo César Brandão Veiga JardimFaculty of Medicine, Federal University of Goiás, Goiânia, Brazil.ORCID 0000-0002-5333-013X
Ana Luiza Lima SousaHypertension Unit, Federal University of Goiás, Goiânia, Brazil.ORCID 0000-0002-7566-3541
Weimar Kunz Sebba BarrosoFaculty of Medicine, Federal University of Goiás, Goiânia, Brazil.ORCID 0000-0002-1265-1930
first Brazilian Hypertension Registry (BHR) investigators

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 313481/2020-2
6 · The paper itself

Abstract

backgroundCardiometabolic multimorbidity (CM-MM) is defined as the coexistence of at least two of the following conditions: diabetes mellitus (DM), myocardial infarction (MI), or stroke (ST). Data on the prevalence of CM-MM and its associated factors are scarce in Brazil.

objectivesTo analyse the prevalence of CM-MM and its associated factors in a population of Brazilian adults aged ≥ 65 years with hypertension.

methodsWe conducted an analytical cross-sectional study from 2013 to 2015 using data from the first Brazilian Hypertension Registry (BHR). Participants were recruited from 45 public and private healthcare services in all regions of Brazil. CM-MM was the main outcome measure, analysed according to clinical and sociodemographic factors. Descriptive and association analyses were performed to compare CM-MM and the other parameters.

resultsWe analysed data from 1,033 individuals. The prevalence of CM-MM was 8.9%, with higher rates among males, participants self-declared as White, and those in the 65-69 years age group. DM (32.7%) was the most prevalent single condition. Dyslipidaemia (70.7%), obesity (62%), and uncontrolled blood pressure (44.6%) were also common. Among the combinations of conditions, DM + MI was the most frequent (5.6%). After adjustment, CM-MM was associated with being male, having dyslipidaemia, experiencing heart failure, and undergoing coronary artery bypass graft surgery. Chronic kidney disease was not associated with CM-MM.

conclusionsThe prevalence of CM-MM in older people with hypertension was approximately 9%. CM-MM was associated with risk factors such as dyslipidaemia and obesity. These findings show the importance of comprehensive cardiometabolic management to reduce the incidence of CM-MM in this population.

Indexed as

Diabetes MellitusHypertensionMyocardial InfarctionStrokeAgedAged, 80 and overAge FactorsBrazilCardiometabolic Risk FactorsCross-Sectional StudiesDyslipidemiasFemaleHumansMaleMultimorbidityObesityCardiovascular diseaseChronic diseasesElderly peopleHypertensionMultimorbidity

Identifiers

PMID41034763
PMCPMC12486744

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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.