DEVELOPMENT OF A NEW CARDIAC RISK STRATIFICATION SCORE FOR EXERCISE BASED CARDIAC REHABILITATION PATIENT SCREENING

Cardiac risk stratification is essential for cardiac rehabilitation; however, current protocols have some or no relationship with the occurrence of acute events during exercise. PURPOSE: To develop a new risk stratification tool for predicting simple acute events during exercise. METHODS: Longitudinal observational study that followed 73 participants of a cardiac rehabilitation program for 2 months to record acute complications triggered by exercise (angina, muscle pain, dizziness, changes in systolic pressure, and fatigue). Before the follow-up period, the volunteers were evaluated regarding lung function (spirometry and manovacuometry), body composition (bioimpedance), functional capacity (6-Minute Walk test), and peripheral muscle strength (Quadriceps dynamometry). For all variables, a cutoff value was defined to act as stratification criteria and their predictive power was evaluated using binary logistic regression and ROC curve (P < 0.05). RESULTS: Functional capacity (OR: 4.3 - p: 0.017) is related to the occurrence of ≥1 event; maximum expiratory pressure with ≥2 events (OR: 6.7 - p: 0.004); body mass index - BMI (OR: 3.4 - p: 0.027), corporal adiposity index (OR: 5.4 - p: 0.002), forced exhaled volume in the 1st second - (OR: 4.2 - p: 0.004), and forced vital capacity - FVC (OR: 8.1 - p: 0.007) with ≥3 events; percentage of body fat (OR: 8.9 - p: 0.002), muscle strength (OR: 5.3 - p: 0.032) and the percentage obtained in relation to the predicted FVC (OR: 6.0 - p: 0.013) with ≥6 events. Only the BMI, muscle strength and FVC did not obtain acceptable accuracy values (≥0.7). A score was attributed for each variable based on the regression coefficient (b1) multiplied by 1 if the variable was related to the occurrence of at least 1 event, by 2 if related to at least 3 events, and by 3 if related to at least 6 events. Based on the sum of each variable score the risk class is defined separately for males (Low <32.2; High: ≥42.0) and females (Low: <38.9; High: ≥ 45.1). CONCLUSIONS: The developed tool can be useful for estimating the risk of simple acute events occurring in cardiac rehabilitation through a score composed of variables of functional capacity, lung function, and body composition of easy and cheap assessment. FAPESP grant number 2020/16551-0

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Journal
Medicine & Science in Sports & Exercise
Published
2024-09-16
DOI
https://doi.org/10.1249/01.mss.0001053848.28617.c7
Primary Topic
Cardiac Health and Mental Health
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article
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article

DEVELOPMENT OF A NEW CARDIAC RISK STRATIFICATION SCORE FOR EXERCISE BASED CARDIAC REHABILITATION PATIENT SCREENING

J.M. Silva, Heloísa Balotari Valente, Dyovana Gomes Pinheiro, Felipe Ribeiro et al.
Medicine & Science in Sports & Exercise
Cardiac Health and Mental Health
article

DEVELOPMENT OF A NEW CARDIAC RISK STRATIFICATION SCORE FOR EXERCISE BASED CARDIAC REHABILITATION PATIENT SCREENING

J.M. Silva, Heloísa Balotari Valente, Dyovana Gomes Pinheiro, Felipe Ribeiro, Luiz Carlos Marques Vanderlei, Maria Júlia Lopez Laurino, João Pedro Lucas Neves Silva, Natacha Lima Gervazoni, Mariana Oliveira Vicente Santos
article en

Abstract

Cardiac risk stratification is essential for cardiac rehabilitation; however, current protocols have some or no relationship with the occurrence of acute events during exercise. PURPOSE: To develop a new risk stratification tool for predicting simple acute events during exercise. METHODS: Longitudinal observational study that followed 73 participants of a cardiac rehabilitation program for 2 months to record acute complications triggered by exercise (angina, muscle pain, dizziness, changes in systolic pressure, and fatigue). Before the follow-up period, the volunteers were evaluated regarding lung function (spirometry and manovacuometry), body composition (bioimpedance), functional capacity (6-Minute Walk test), and peripheral muscle strength (Quadriceps dynamometry). For all variables, a cutoff value was defined to act as stratification criteria and their predictive power was evaluated using binary logistic regression and ROC curve (P < 0.05). RESULTS: Functional capacity (OR: 4.3 - p: 0.017) is related to the occurrence of ≥1 event; maximum expiratory pressure with ≥2 events (OR: 6.7 - p: 0.004); body mass index - BMI (OR: 3.4 - p: 0.027), corporal adiposity index (OR: 5.4 - p: 0.002), forced exhaled volume in the 1st second - (OR: 4.2 - p: 0.004), and forced vital capacity - FVC (OR: 8.1 - p: 0.007) with ≥3 events; percentage of body fat (OR: 8.9 - p: 0.002), muscle strength (OR: 5.3 - p: 0.032) and the percentage obtained in relation to the predicted FVC (OR: 6.0 - p: 0.013) with ≥6 events. Only the BMI, muscle strength and FVC did not obtain acceptable accuracy values (≥0.7). A score was attributed for each variable based on the regression coefficient (b1) multiplied by 1 if the variable was related to the occurrence of at least 1 event, by 2 if related to at least 3 events, and by 3 if related to at least 6 events. Based on the sum of each variable score the risk class is defined separately for males (Low <32.2; High: ≥42.0) and females (Low: <38.9; High: ≥ 45.1). CONCLUSIONS: The developed tool can be useful for estimating the risk of simple acute events occurring in cardiac rehabilitation through a score composed of variables of functional capacity, lung function, and body composition of easy and cheap assessment. FAPESP grant number 2020/16551-0

Medicine & Science in Sports & ExerciseVol. 56(10S)
Hospital Regional de Presidente Prudente (BR), Universidade Estadual Paulista (Unesp) (BR)
Good health and well-being
Openalex Percentile: Top 72%
Cardiac Health and Mental Health
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