Evidence mapPaperPMID 40352153Full record

ArticleFrontiers in physiology2025

Diabetes alters cardiorespiratory dynamics: insights from short-term recurrence quantification analysis of pulse-respiration quotient.

José Javier Reyes-Lagos, Kioko Guzmán-Ramos, Joel Lomelí, Adriana Cristina Pliego-Carrillo, Miguel Ángel Peña-Castillo, Pedro López-Sánchez, Virgilio Eduardo Trujillo-Condes, Laura Ivoone Garay-Jiménez, Juan Carlos Echeverría, María Fernanda Villegas-Zarco and 1 more

Abstract read
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Article in Frontiers in physiology, 2025. 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

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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.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

José Javier Reyes-LagosFacultad de Medicina, Universidad Autónoma del Estado de México, Toluca de Lerdo, Toluca, Mexico.
Kioko Guzmán-RamosDepartamento de Ciencias de la Salud, Universidad Autónoma Metropolitana Unidad Lerma, Lerma, Mexico.
Joel LomelíEscuela Superior de Medicina, Instituto Politécnico Nacional, Miguel Hidalgo, Mexico City, Mexico.
Adriana Cristina Pliego-CarrilloFacultad de Medicina, Universidad Autónoma del Estado de México, Toluca de Lerdo, Toluca, Mexico.
Miguel Ángel Peña-CastilloDepartamento de Ingeniería Eléctrica, Universidad Autónoma Metropolitana Unidad Iztapalapa, Iztapalapa, Mexico City, Mexico.
Pedro López-SánchezEscuela Superior de Medicina, Instituto Politécnico Nacional, Miguel Hidalgo, Mexico City, Mexico.
Virgilio Eduardo Trujillo-CondesFacultad de Medicina, Universidad Autónoma del Estado de México, Toluca de Lerdo, Toluca, Mexico.
Laura Ivoone Garay-JiménezUnidad Profesional Interdisciplinaria en Ingeniería y Tecnologías Avanzadas, Instituto Politécnico Nacional, Mexico City, Mexico.
Juan Carlos EcheverríaDepartamento de Ingeniería Eléctrica, Universidad Autónoma Metropolitana Unidad Iztapalapa, Iztapalapa, Mexico City, Mexico.
María Fernanda Villegas-ZarcoFacultad de Medicina, Universidad Autónoma del Estado de México, Toluca de Lerdo, Toluca, Mexico.
Laura Mercedes Santiago-FuentesFacultad de Medicina, Universidad Autónoma del Estado de México, Toluca de Lerdo, Toluca, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The Pulse-Respiration Quotient (PRQ) is considered a powerful tool for assessing dynamic interactions between cardiac and respiratory rhythms. Type 2 diabetes mellitus (T2DM) disrupts autonomic control, potentially compromising the complexity and adaptability of cardiorespiratory dynamics. In this cross-sectional, exploratory study, we investigated whether T2DM alters cardiorespiratory dynamics by analyzing short-term PRQ signals using conventional linear indices and Recurrence Quantification Analysis (RQA). Methods: Thirty-eight participants (20 T2DM and 18 controls) completed four standardized tasks-supine rest, orthostatic challenge, paced breathing, and the Valsalva maneuver-while electrocardiographic and respiratory signals were continuously recorded. From these signals, R-to-R peak interval (RRI) and breath-to-breath (BB) time series were derived, allowing us to compute the PRQ time series as the ratio of instantaneous heart rate to instantaneous breathing rate. Linear indices of PRQ and RQA metrics were then calculated for the PRQ signals, enabling comparisons between groups (T2DM vs. control) and across tasks. Additionally, entropy-based mutual information (MI) between RRI and BB was assessed as a quantitative measure of cardiorespiratory coupling. Results: T2DM participants exhibited higher recurrence rates and prolonged recurrence time of the first type in the PRQ series, especially during paced breathing, suggesting a more rigid and less adaptive control mechanism. Although linear PRQ indices showed changes in some stage-dependent responses, they were less adept than RQA metrics at discerning subtle differences between groups. Furthermore, the complementary cardiorespiratory coupling assessment by MI revealed distinct compensatory patterns in T2DM during paced respiration and Valsalva. Conclusion: These findings indicate potential dysautonomia or partial autonomic dysregulation in individuals with T2DM, as reflected by altered cardiorespiratory dynamics and reduced adaptability.

Indexed as

cardiorespiratory couplingnonlinear dynamicspulse-respiration quotientrecurrence quantification analysistype 2 diabetes mellitus

Identifiers

PMID40352153
PMCPMC12061984

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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 Socratic graph.