Evidence map›Paper›PMID 35765063›Full record

ArticleBiomedical engineering online2022

Heart rate variability as a biomarker in patients with Chronic Chagas Cardiomyopathy with or without concomitant digestive involvement and its relationship with the Rassi score.

Luiz Eduardo Virgilio Silva, Henrique Turin Moreira, Marina Madureira de Oliveira, Lorena Sayore Suzumura Cintra, Helio Cesar Salgado, Rubens Fazan, Renato Tinós, Anis Rassi, André Schmidt, J Antônio Marin-Neto

Open access · goldAbstract read
In one paragraph

Article in Biomedical engineering online, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 9% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

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  9. Frontiers in microbiology · 2024
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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

10 authors at 1 institution in 1 country.

Luiz Eduardo Virgilio SilvaDivision of Cardiology, Department of Internal Medicine, Ribeirão Preto Medical School, University of São Paulo, Av. Bandeirantes, 3900, Ribeirão Preto, São Paulo, 14048-900, Brazil.
Henrique Turin MoreiraDivision of Cardiology, Department of Internal Medicine, Ribeirão Preto Medical School, University of São Paulo, Av. Bandeirantes, 3900, Ribeirão Preto, São Paulo, 14048-900, Brazil.
Marina Madureira de OliveiraDivision of Cardiology, Department of Internal Medicine, Ribeirão Preto Medical School, University of São Paulo, Av. Bandeirantes, 3900, Ribeirão Preto, São Paulo, 14048-900, Brazil.
Lorena Sayore Suzumura CintraDivision of Cardiology, Department of Internal Medicine, Ribeirão Preto Medical School, University of São Paulo, Av. Bandeirantes, 3900, Ribeirão Preto, São Paulo, 14048-900, Brazil.
Helio Cesar SalgadoDepartment of Physiology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil.
Rubens FazanDepartment of Physiology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil.
Renato TinósDepartment of Computing and Mathematics, Ribeirão Preto School of Philosophy, Science and Literature, University of São Paulo, Ribeirão Preto, Brazil.
Anis RassiAnis Rassi Hospital, Goiânia, Brazil.
André SchmidtDivision of Cardiology, Department of Internal Medicine, Ribeirão Preto Medical School, University of São Paulo, Av. Bandeirantes, 3900, Ribeirão Preto, São Paulo, 14048-900, Brazil.
J Antônio Marin-NetoDivision of Cardiology, Department of Internal Medicine, Ribeirão Preto Medical School, University of São Paulo, Av. Bandeirantes, 3900, Ribeirão Preto, São Paulo, 14048-900, Brazil. marin_neto@yahoo.com.
Universidade de São Paulo · BR

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo 2016/25403-9Fundação de Amparo à Pesquisa do Estado de São Paulo 2018/21212-0
6 · The paper itself

Abstract

backgroundDysautonomia plays an ancillary role in the pathogenesis of Chronic Chagas Cardiomyopathy (CCC), but is the key factor causing digestive organic involvement. We investigated the ability of heart rate variability (HRV) for death risk stratification in CCC and compared alterations of HRV in patients with isolated CCC and in those with the mixed form (CCC + digestive involvement). Thirty-one patients with CCC were classified into three risk groups (low, intermediate and high) according to their Rassi score. A single-lead ECG was recorded for a period of 10-20 min, RR series were generated and 31 HRV indices were calculated. The HRV was compared among the three risk groups and regarding the associated digestive involvement. Four machine learning models were created to predict the risk class of patients.

resultsPhase entropy is decreased and the percentage of inflection points is increased in patients from the high-, compared to the low-risk group. Fourteen patients had the mixed form, showing decreased triangular interpolation of the RR histogram and absolute power at the low-frequency band. The best predictive risk model was obtained by the support vector machine algorithm (overall F1-score of 0.61).

conclusionsThe mixed form of Chagas' disease showed a decrease in the slow HRV components. The worst prognosis in CCC is associated with increased heart rate fragmentation. The combination of HRV indices enhanced the accuracy of risk stratification. In patients with the mixed form of Chagas disease, a higher degree of sympathetic autonomic denervation may be associated with parasympathetic impairment.

Indexed as

Chagas CardiomyopathyChagas DiseaseAutonomic Nervous SystemBiomarkersHeart RateHumansBiomarkersAutonomic nervous systemChagas diseaseHeart rate variabilityMachine learningRassi score

Identifiers

PMID35765063
PMCPMC9241264
OpenAlexW4283662041

What OpenQuestion holds

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LicenceCC BY
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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.