Identificación de la dinapenia mediante parámetros ventilatorios en pacientes con insuficiencia cardiaca con fracción de eyección preservada: análisis transversal del estudio FUNNEL+
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Abstract
Introducción y objetivos: El objetivo de este estudio fue evaluar: (a) la capacidad discriminante de los parámetros
ventilatorios para identificar pacientes con insuficiencia cardiaca con fracción de eyección preservada (IC-FEp)
con o sin dinapenia, (b) la relación entre la fuerza de prensión máxima (FPM) y los parámetros ventilatorios, y
(c) las diferencias entre los grupos de pacientes con IC-FEp con y sin dinapenia.
Material y método: Se realizó un estudio transversal utilizando la FPM y los parámetros ventilatorios de volunta
rios del estudio FUNNEL+. Los pacientes con IC-FEp se clasificaron en dos grupos según la FPM: con dinapenia y
sin dinapenia. El análisis de datos incluyó la prueba de chi cuadrado, la prueba de rangos con signo de Wilcoxon,
el coeficiente de correlación de Spearman, el análisis de la curva ROC y el área bajo la curva ROC.
Resultados: Se agruparon 77 mediciones de pacientes con IC-FEp en función de la presencia (n=29) o ausencia
(n=48)dedinapenia. La capacidad discriminante del volumen espiratorio forzado en el primer segundo (FEV1),
la capacidad vital forzada (FVC) y el flujo espiratorio máximo (PEF) fue aceptable para identificar dinapenia.
Se encontraron correlaciones significativas entre los parámetros ventilatorios y la FPM. Además, se observaron
diferencias significativas entre grupos en variables demográficas, clínicas y ventilatorias.
Conclusiones: Estos resultados preliminares apuntan al potencial de los parámetros ventilatorios para la detección
temprana de la dinapenia en la IC-FEp, si bien se requieren estudios adicionales que los confirmen.
Introduction and objectives: We aimed to evaluate: (a) the discriminatory capacity of ventilatory parameters to differentiate between patients with heart failure with preserved ejection fraction (HFpEF) with or without dy napenia, (b) the relationship between maximal grip strength (MGS) and ventilatory parameters, and (c) the differences between groups of HFpEF patients with and without dynapenia. Materials and methods: A cross-sectional study using MGS and ventilatory parameters from volunteers in the FUNNEL+ study was conducted. Patients with HFpEF were categorised using the MGS into two groups: dyna penia and no dynapenia. Data analysis included the Chi-square test, the Wilcoxon signed-rank test, Spearman’s correlation coefficient, the ROC curve analysis, and the area under the ROC curve. Results: 77 measurements of HFpEF patients were grouped based on the presence (n=29) or no (n=48) of dynapenia. The discriminatory capacity of forced expiratory volume in one second (FEV1), forced vital capacity (FVC), and peak expiratory flow (PEF) was acceptable for identifying dynapenia. Significant correlations were found between ventilatory parameters and MGS. Furthermore, significant differences were observed in grouped patients in terms of demographic, clinical and ventilatory variables. Conclusions: These preliminary results suggest that ventilatory parameters may have potential for the early detection of dynapenia in HFpEF, although further studies are required to confirm these findings.
Introduction and objectives: We aimed to evaluate: (a) the discriminatory capacity of ventilatory parameters to differentiate between patients with heart failure with preserved ejection fraction (HFpEF) with or without dy napenia, (b) the relationship between maximal grip strength (MGS) and ventilatory parameters, and (c) the differences between groups of HFpEF patients with and without dynapenia. Materials and methods: A cross-sectional study using MGS and ventilatory parameters from volunteers in the FUNNEL+ study was conducted. Patients with HFpEF were categorised using the MGS into two groups: dyna penia and no dynapenia. Data analysis included the Chi-square test, the Wilcoxon signed-rank test, Spearman’s correlation coefficient, the ROC curve analysis, and the area under the ROC curve. Results: 77 measurements of HFpEF patients were grouped based on the presence (n=29) or no (n=48) of dynapenia. The discriminatory capacity of forced expiratory volume in one second (FEV1), forced vital capacity (FVC), and peak expiratory flow (PEF) was acceptable for identifying dynapenia. Significant correlations were found between ventilatory parameters and MGS. Furthermore, significant differences were observed in grouped patients in terms of demographic, clinical and ventilatory variables. Conclusions: These preliminary results suggest that ventilatory parameters may have potential for the early detection of dynapenia in HFpEF, although further studies are required to confirm these findings.
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C. García-Conejo, C., Roldán-Jiménez, M.A., Pérez-Velasco, R., Gómez-Huelgas, L.M., Pérez-Belmonte y A.I. Cuesta-Vargas. Identificación de la dinapenia mediante parámetros ventilatorios en pacientes con insuficiencia cardiaca con fracción de eyección preservada: análisis transversal del estudio FUNNEL+. En: Revista Clínica Española, 226 (2026), pp. 1-9
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