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1.
Aten. prim. (Barc., Ed. impr.) ; 56(5)may. 2024. tab
Article in English | IBECS | ID: ibc-CR-342

ABSTRACT

Objective To analyze the Wakabayashi & Daimon (2015) equation, as a predictive indicator of cardiometabolic diseases and its comparison with other indices. Design A systematic review was carried out between January and March 2023, according to the PRISMA statement. Data source Scopus, Web of Science, and PubMed databases were reviewed using “cardiometabolic index” (CMI) as the search term. Study selection The following inclusion criteria were determined: studies in adults with cardiometabolic diseases using the Wakabayashi & Daimon (2015) CMI formula in different populations; studies that validate or compare the equation or that demonstrate the effects of the intervention. Data extraction Of the 11 selected articles, the characteristics of the population, type of study, indicators for the validation of the CMI, the reported statistics and the conclusions that were recorded in a comparative table were obtained. Results and conclusions Odds ratio, hazard ratio, sensitivity, and specificity were used to assess associations, risk, effectiveness, and validity of the tests, indicating favorable relationships between the factors analyzed and the results obtained. Validation and probabilistic analysis of the CMI were performed against diverse diseases such as obesity [Man >60y=AUC=0.90 (0.75–1.00) (p=0.01), Se=100, Sp=81.8, YI=0.82 and OR 4.66 and Women >60y=AUC=0.95 (0.88–1.00), p=0.001, Se=90.0, Sp=100, YI=0.90 and OR=36.27]; cardiovascular diseases [AUC=0.617, Se=0.675, Sp=0.509; HR=1.48 (1.33, 1.65), p=<0.001], among others. In conclusion CMI is a new utility index that broadly identifies the presence of risk that leads to cardiometabolic diseases in adults. (AU)


Objetivo Analizar la ecuación de Wakabayashi et al. del 2015 como indicador de predicción de enfermedades cardiometabólicas y su comparación con otros índices.Diseño Se realizó una revisión sistemática entre enero y marzo del 2023, de acuerdo con la declaración PRISMA. Fuente de datos Se revisaron las bases de datos Scopus, Web of Science y PubMed utilizando «índice cardiometabólico» (ICM) como término de búsqueda. Selección de los estudios Se determinaron los siguientes criterios de inclusión: estudios en adultos con enfermedades cardiometabólicas que utilizaron la fórmula ICM de Wakabayashi et al. en diferentes poblaciones; que validaran o compararan la ecuación o que demostraran los efectos de la intervención. Extracción de datos De los 11 artículos seleccionados, se obtuvieron las características de la población, tipo de estudio, indicadores para la validación del ICM, la estadística reportada y las conclusiones que se registraron en una tabla comparativa. Resultados y conclusiones Para evaluar las asociaciones, el riesgo, la efectividad y la validez de las pruebas se utilizaron odds ratio (OR), hazard ratio (HR), sensibilidad y especificidad, indicando relaciones favorables entre los factores analizados y los resultados obtenidos. La validación y el análisis probabilístico del ICM se realizaron frente a diversas enfermedades como obesidad (hombres >60 años=AUC=0,90 [0,75-1,00], [p=0,01], Se=100, Sp=81,8, YI=0,82 y OR 4,66; y mujeres >60 años=AUC=0,95 [0,88-1,00], p=0,001, Se=90,0, Sp=100, YI=0,90 y OR=36,27); enfermedades cardiovasculares (AUC=0,617, Se=0,675, Sp=0,509; HR=1,48 [1,33, 1,65] p≤0,001), entre otros. En conclusión, el ICM es un nuevo índice de utilidad que identifica ampliamente la presencia de riesgo para conducir a enfermedades cardiometabólicas en adultos. (AU)


Subject(s)
Humans , Metabolic Syndrome/prevention & control , Cardiovascular Diseases/prevention & control , Diabetes Mellitus/prevention & control
2.
Aten Primaria ; 56(5): 102846, 2024 May.
Article in English | MEDLINE | ID: mdl-38218120

ABSTRACT

OBJECTIVE: To analyze the Wakabayashi & Daimon (2015) equation, as a predictive indicator of cardiometabolic diseases and its comparison with other indices. DESIGN: A systematic review was carried out between January and March 2023, according to the PRISMA statement. DATA SOURCE: Scopus, Web of Science, and PubMed databases were reviewed using "cardiometabolic index" (CMI) as the search term. STUDY SELECTION: The following inclusion criteria were determined: studies in adults with cardiometabolic diseases using the Wakabayashi & Daimon (2015) CMI formula in different populations; studies that validate or compare the equation or that demonstrate the effects of the intervention. DATA EXTRACTION: Of the 11 selected articles, the characteristics of the population, type of study, indicators for the validation of the CMI, the reported statistics and the conclusions that were recorded in a comparative table were obtained. RESULTS AND CONCLUSIONS: Odds ratio, hazard ratio, sensitivity, and specificity were used to assess associations, risk, effectiveness, and validity of the tests, indicating favorable relationships between the factors analyzed and the results obtained. Validation and probabilistic analysis of the CMI were performed against diverse diseases such as obesity [Man >60y=AUC=0.90 (0.75-1.00) (p=0.01), Se=100, Sp=81.8, YI=0.82 and OR 4.66 and Women >60y=AUC=0.95 (0.88-1.00), p=0.001, Se=90.0, Sp=100, YI=0.90 and OR=36.27]; cardiovascular diseases [AUC=0.617, Se=0.675, Sp=0.509; HR=1.48 (1.33, 1.65), p=<0.001], among others. In conclusion CMI is a new utility index that broadly identifies the presence of risk that leads to cardiometabolic diseases in adults.


Subject(s)
Cardiovascular Diseases , Humans , Cardiovascular Diseases/epidemiology , Risk Assessment/methods , Adult , Cardiometabolic Risk Factors
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