Beta-blockers in heart failure prognosis: Lessons learned by MECKI Score Group papers

Cattadori, Gaia; Marco, Silvia Di; Farina, Stefania; Limongelli, Giuseppe; Monda, Emanuele; Badagliacca, Roberto; Papa, Silvia; Tricarico, Lucia; Correale, Michele

doi:10.1177/2047487320951109

Cited by 4 publications

(2 citation statements)

References 36 publications

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“…Primarily, being a preliminary investigation into the relationship between CPET parameters and the severity of CAD, it included a small patient cohort, necessitating further validation of its findings in a broader real-world patient population. Additionally, the influence of beta blockers and other cardioprotective drugs on CPET results is significant, 32 suggesting their discontinuation before CPET could enhance protocol standardization in future studies.…”

Section: Discussionmentioning

confidence: 99%

Development and Validation of a Nomogram for Predicting the Severity of Coronary Artery Disease Based on Cardiopulmonary Exercise Testing

Wang,

Wei

et al. 2024

Clin Appl Thromb Hemost

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As a major global health concern, coronary artery disease (CAD) demands precise, noninvasive diagnostic methods like cardiopulmonary exercise testing (CPET) for effective assessment and management, balancing the need for accurate disease severity evaluation with improved treatment decision-making. Our objective was to develop and validate a nomogram based on CPET parameters for noninvasively predicting the severity of CAD, thereby assisting clinicians in more effectively assessing patient conditions. This study analyzed 525 patients divided into training (367) and validation (183) cohorts, identifying key CAD severity indicators using least absolute shrinkage and selection operator (LASSO) regression. A predictive nomogram was developed, evaluated by average consistency index (C-index), the area under the receiver operating characteristic curve (AUC), calibration curve, and decision curve analysis (DCA), confirming its reliability and clinical applicability. In our study, out of 25 variables, 6 were identified as significant predictors for CAD severity. These included age (OR = 1.053, P < .001), high-density lipoprotein (HDL, OR = 0.440, P = .002), hypertension (OR = 2.050, P = .007), diabetes mellitus (OR = 3.435, P < .001), anaerobic threshold (AT, OR = 0.837, P < .001), and peak kilogram body weight oxygen uptake (VO2/kg, OR = 0.872, P < .001). The nomogram, based on these predictors, demonstrated strong diagnostic accuracy for assessing CAD severity, with AUC values of 0.939 in the training cohort and 0.840 in the validation cohort, and also exhibited significant clinical utility. The nomogram, which is based on CPET parameters, was useful for predicting the severity of CAD and assisted in risk stratification by offering a personalized, noninvasive diagnostic approach for clinicians.

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Section: Discussionmentioning

confidence: 99%

Development and Validation of a Nomogram for Predicting the Severity of Coronary Artery Disease Based on Cardiopulmonary Exercise Testing

Wang,

Wei

et al. 2024

Clin Appl Thromb Hemost

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“…Hence, further research in a larger cohort of patients with CAD is warranted to refine the diagnostic and prognostic potential of CPET. Beta blockers and other cardioprotective drugs significantly impact the CPET results and should be discontinued prior to CPET to improve the study’s protocol standardization [ 31 ]. There were also some limitations in assessing the severity of coronary artery disease and more accurate evaluation methods still need further exploration.…”

Section: Limitationsmentioning

confidence: 99%

The Value of Cardiopulmonary Exercise Testing in Predicting the Severity of Coronary Artery Disease

Liu

Xie

et al. 2022

JCM

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Background: There have been a limited number of quantitative studies on the relationship between coronary artery disease (CAD) and cardiorespiratory fitness (CRF), as measured by cardiopulmonary exercise testing (CPET). Thus, we aimed to investigate the association between CRF and the severity of coronary artery disease from the most comprehensive perspective possible, and to affirm the predictive value of CPET in the severity assessment of CAD. Methods: Our study included 280 patients with coronary angiography, who had undergone CPET in Tongji Hospital. The patients’ CRF was measured through their peak oxygen uptake (VO2@peak), their oxygen uptake at the anaerobic threshold (VO2@AT) and through other parameters of CPET on a bicycle ergometer. The severity of the coronary artery disease was assessed in the following three layers: functionally significant lesions (quantitative flow ratio [QFR] ≤ 0.8), the number of stenotic coronary arteries (SCA, stenosis ≥ 50%) and the Gensini score. The correlation analyses were carried out between the CRF and the severity of the coronary artery disease. A ROC curve was plotted, and the AUC was calculated to distinguish the severe CAD and the non-severe CAD patients, as measured by the QFR, the number of SCA, and the Gensini score. Results: The VO2@AT and VO2@peak were inversely associated with the QFR. The VO2@AT, VO2@peak and VO2/kg@peak were associated with the number of SCA. Meanwhile, the VO2@AT, VO2/kg@AT, VO2@peak and VO2/kg@peak were associated with the Gensini score. An ROC analysis proved that a combination of traditional clinical risk factors and the VO2@peak/VO2prediction is valuable in predicting CAD severity. Conclusions: Our study demonstrated a strong and inverse association between CRF and the severity of CAD. A combination of traditional clinical risk factors and CRF is valuable in predicting CAD severity.

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Medical treatment of patients with hypertrophic cardiomyopathy: An overview of current and emerging therapy

Iavarone

Monda

Vritz

et al. 2022

Archives of Cardiovascular Diseases

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Beta-blockers in heart failure prognosis: Lessons learned by MECKI Score Group papers

Cited by 4 publications

References 36 publications

Development and Validation of a Nomogram for Predicting the Severity of Coronary Artery Disease Based on Cardiopulmonary Exercise Testing

Development and Validation of a Nomogram for Predicting the Severity of Coronary Artery Disease Based on Cardiopulmonary Exercise Testing

The Value of Cardiopulmonary Exercise Testing in Predicting the Severity of Coronary Artery Disease

Medical treatment of patients with hypertrophic cardiomyopathy: An overview of current and emerging therapy

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