Evidence map›Paper›PMID 37672471›Full record

ArticleArquivos brasileiros de cardiologia2023

Use of the ADHERE Risk Model as a Predictor of Risk of in-Hospital Worsening Heart Failure in a Cohort.

Daniela de Souza Bernardes, Marina Scherer Santos, Vanessa Monteiro Mantovani, Omar Pereira de Almeida Neto, Livia Adams Goldraich, Nadine Clausell, Eneida Rejane Rabelo-Silva

Abstract read
In one paragraph

Article in Arquivos brasileiros de cardiologia, 2023. 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.

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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

7 authors.

Daniela de Souza BernardesPrograma de Pós-Graduação em Ciências da Saúde: Cardiologia e Ciências Cardiovasculares, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS - Brasil.ORCID 0000-0002-7092-6322
Marina Scherer SantosEscola de Enfermagem, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS - Brasil.
Vanessa Monteiro MantovaniEscola de Enfermagem, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS - Brasil.
Omar Pereira de Almeida NetoPrograma de Pós-Graduação em Ciências da Saúde: Cardiologia e Ciências Cardiovasculares, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS - Brasil.
Livia Adams GoldraichDivisão de Cardiologia, Grupo de Insuficiência Cardíaca e Transplante Cardíaco, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS - Brasil.
Nadine ClausellDivisão de Cardiologia, Grupo de Insuficiência Cardíaca e Transplante Cardíaco, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS - Brasil.ORCID 0000-0003-4207-3809
Eneida Rejane Rabelo-SilvaPrograma de Pós-Graduação em Ciências da Saúde: Cardiologia e Ciências Cardiovasculares, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS - Brasil.ORCID 0000-0002-4374-4419

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients admitted with acute decompensated heart failure (HF) are subject to developing worsening episodes that require more complex interventions. The Acute Decompensated Heart Failure National Registry (ADHERE) risk model was developed in the United States to predict the risk of in-hospital worsening HF.

objectiveTo use the ADHERE risk model in the assessment of risk of in-hospital worsening HF and to determine its sensitivity and specificity in hospitalized patients.

methodsThis cohort study was conducted at a Brazilian public university hospital, and data from 2013 to 2020 were retrospectively collected. P values < 0.05 were considered statistically significant.

resultsA total of 890 patients with a mean age of 74 ± 8 years were included. The model showed that, in the group of 490 patients at risk, 254 (51.8%) developed in-hospital worsening HF. In the group of 400 patients not at risk, only 109 (27.2%) experienced worsening HF. The results demonstrated a statistically significant curve (area under the curve = 0.665; standard error = 0.018; P < 0.01; confidence interval = 0.609 to 0.701), indicating good accuracy. The model had a sensitivity of 69.9% and a specificity of 55.2%, with a positive predictive value of 52% and a negative predictive value of 72.7%.

conclusionsIn this cohort, we showed that the ADHERE risk model was able to discriminate patients who in fact developed worsening HF during the admission period, from those who did not.

Indexed as

Heart FailureHospitals, PublicAgedAged, 80 and overCohort StudiesHospitalizationHumansRetrospective Studies

Identifiers

PMID37672471
PMCPMC10519228

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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.