Evidence map›Paper›PMID 39354401›Full record

ArticleBMC cardiovascular disorders2024

Prognostic value of the duke activity Status Index Questionnaire in predicting mortality in patients with chronic heart failure: 36-month follow-up study.

Aldair Darlan Santos-de-Araújo, Daniela Bassi-Dibai, Izadora Moraes Dourado, Renan Shida Marinho, Renata Gonçalves Mendes, Cássia da Luz Goulart, Polliana Batista Dos Santos, Meliza Goi Roscani, Shane A Phillips, Ross Arena and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC cardiovascular disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Aldair Darlan Santos-de-AraújoCardiopulmonary Physiotherapy Laboratory, Universidade Federal de São Carlos, Federal University of Sao Carlos Rodovia Washington Luiz, São Carlos, 13565-905, SP, Brazil.
Daniela Bassi-DibaiManagement in Health Programs and Services, Universidade CEUMA, São Luís, MA, Brazil.
Izadora Moraes DouradoCardiopulmonary Physiotherapy Laboratory, Universidade Federal de São Carlos, Federal University of Sao Carlos Rodovia Washington Luiz, São Carlos, 13565-905, SP, Brazil.
Renan Shida MarinhoInter-units of Bioengineering, University of São Paulo, São Carlos, SP, Brazil.
Renata Gonçalves MendesCardiopulmonary Physiotherapy Laboratory, Universidade Federal de São Carlos, Federal University of Sao Carlos Rodovia Washington Luiz, São Carlos, 13565-905, SP, Brazil.
Cássia da Luz GoulartHealth Sciences and Technologies, Universidade de Brasília, Brasília, DF, Brazil.
Polliana Batista Dos SantosMorgana Potrich Faculty, Mineiros, GO, Brazil.
Meliza Goi RoscaniDepartment of Medicine, Universidade Federal de São Carlos (UFSCar), Sao Carlos, SP, Brazil.
Shane A PhillipsDepartment of Physical Therapy, College of Applied Health Sciences, University of Illinois, Chicago, IL, USA.
Ross ArenaDepartment of Physical Therapy, College of Applied Health Sciences, University of Illinois, Chicago, IL, USA.
Audrey Borghi-SilvaCardiopulmonary Physiotherapy Laboratory, Universidade Federal de São Carlos, Federal University of Sao Carlos Rodovia Washington Luiz, São Carlos, 13565-905, SP, Brazil. audrey@ufscar.br.

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo 15/26501-1
6 · The paper itself

Abstract

backgroundThe Duke Activity Status Index (DASI) questionnaire has been the focus of numerous investigations - its discriminative and prognostic capacity has been continuously explored, supporting its use in the clinical setting, specifically during rehabilitation in patients with chronic heart failure (CHF).However, studies exploring optimal DASI questionnaire threshold scores are limited.

objectiveTo investigate optimal DASI questionnaire thresholds values in predicting mortality in a CHF cohort and assess mortality rates based on the DASI questionnaire using a thresholds values obtained. METHODOLOGY: This is a prospective cohort study with a 36-month follow-up in patients with CHF. All patients completed a clinical assessment, followed by DASI questionnaire, pulmonary function, and echocardiography. The Receiver Operating Characteristic (ROC) curve analysis was used to discriminate the DASI questionnaire score in determining the risk of mortality. For survival analysis, the Kaplan-Meier model was used to explore the impact of ≤/>23 points on mortality occurring during the 36-month follow-up.

resultsOne hundred and twenty-four patients were included, the majority being elderly men. Kaplan Meier analysis revealed that ≤/> 23 was a strong predictor of CHF mortality over a 36-month follow-up.

conclusionA score of ≤/>23 presents good discriminatory capacity to predict mortality risk in 36 months in patients with CHF, especially in those with reduced or mildly reduced ejection fraction. Age, ejection fraction, DASI questionnaire score and use of digoxin are risk factors that influence mortality in this population.

Indexed as

Heart FailurePredictive Value of TestsAgedAged, 80 and overChronic DiseaseFemaleFollow-Up StudiesFunctional StatusHealth StatusHumansMaleMiddle AgedPrognosisProspective StudiesRisk AssessmentRisk FactorsChronic heart failureDuke Activity Status IndexMortalityPrognosticQuestionnaire

Identifiers

PMID39354401
PMCPMC11446155

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.