Validation of a proposal for a predictive scale of cardiac complications in acute myocardial infarction
Keywords:
risk scale, acute myocardial infarction, echocardiography, cardiac complications, prediction modelAbstract
Introduction: The risk scale designed to estimate the probability of cardiac complications with a clinical and echocardiographic approach must be validated before its implementation in clinical practice.
Objective: To validate a predictive scale of cardiac complications in acute myocardial infarction with a clinical-echocardiographic approach.
Materials and methods: An analytical, observational, case-control study was carried out on 1,303 patients admitted to the Cardiology and Cardiovascular Surgery center of Santiago de Cuba in the period 2019-2021, for which two samples were selected: one for model construction (n=800) and one for scale validation (n=198), from January to June 2022. Possible predictors were determined through univariate analysis and calculation of the odds ratio, with a significance level of p≤0.05; likewise, a multivariate binary logistic regression model was developed and the risk scale was obtained, which was validated by different methods.
Results: The scale was obtained with 10 predictors and 2 risk strata. It achieved good discrimination (80%), and a good level of fit and construct validity (p=0.70). Likewise, it ensured a correct prediction of more than 50% of cardiac complications, acceptable sensitivity and specificity values (92.03% and 91.63%, respectively), as well as adequate content validity, internal validity and reliability.
Conclusions: The risk scale to stratify the risk of cardiac complications includes predictors of severity of coronary ischemic disease, with good validation parameters to be used in decision-making to prevent.Downloads
References
2. Reed GW, Rossi JE, Cannon CP. Acute myocardial infarction. Lancet [Internet]. 2017 [citado 18/02/2024];389(10065):197-210. Disponible en: https://www.ncbi.nlm.nih.gov/pubmed/27502078
3. Dirección de Registros Médicos y Estadísticas de Salud. Anuario estadístico de salud 2020 [Internet]. La Habana: MINSAP; 2021 [citado 18/02/2024]. Disponible en: https://salud.msp.gob.cu/wp-content/Anuario/Anuario-2020.pdf
4. De Winter RJ. Estrategias de tratamiento y estratificación del riesgo en los síndromes coronarios agudos: ¿cómo identificar a los pacientes que se pueden beneficiar de un abordaje invasivo temprano? Rev Esp Cardiol [Internet]. 2010 [citado 18/02/2024];63(8):888-9. Disponible en: https://www.revespcardiol.org/es-estrategias-tratamiento-estratificacion-del-riesgo-articulo-13154078
5. Burgos LM, Garmendia CM, Giordanino EF, et al. Validación y comparación de dos modelos de estratificación de riesgo en infarto de miocardio con elevación del segmento ST. Rev argent cardiol [Internet]. 2019 [citado 18/02/2024];87(2):118-24. Disponible en: https://www.redalyc.org/journal/3053/305360754008/html/
6. Rodríguez-Jiménez AE, Negrín Valdés T, Cruz-Inerarity H, et al. Prognostic scale of stratify risk of intrahospital death in patients with acute myocardial infarction ST segment elevation. Medicc Review. 2020;22(3):46-53. DOI: 10.37757/MR2020.V22.N3.10.
7. Soto A, Cvetkovich A. Estudios de casos y controles. Rev Fac Med Hum [Internet]. 2020 [citado 09/10/2023];20(1):138-43. Disponible en: http://www.scielo.org.pe/scielo.php?pid=S2308-05312020000100138&script=sci_abstract
8. Bono LA, Puente LJ, Szarfer J, et al. Complicaciones intrahospitalarias del infarto agudo de miocardio. Incidencia y momento de aparición. Medicina (B. Aires) [Internet]. 2021 [citado 18/02/2024];81(6):978-85. Disponible en: http://www.scielo.org.ar/scielo.php?script=sci_arttext&pid=S0025-76802021000800978&lng=es
9. Ibanez B, James S, Agewall S, et al. 2017 ESC Guidelines for the management of acute myocardial infarction in patients presenting with ST-segment elevation: The Task Force for the management of acute myocardial infarction in patients presenting with ST-segment elevation of the European Society of Cardiology (ESC). Eur Heart J. 2018;39(2):119-77. DOI: 10.1093/eurheartj/ehx393.
10. Baquero Alonso M, Sabatel Pérez F, Rodríguez Padial L. Complicaciones del infarto de miocardio. Medicine [Internet]. 2017 [citado 19/04/2021];12(37):2224-31. Disponible en: https://www.medicineonline.es/es-complicaciones-del-infarto-miocardio-articulo-S0304541217301737
11. Rosabal-García Y, Guzman-Pérez N, Rosales-Guibert EA. Factores clínicos y ecocardiográficos asociados a complicaciones en pacientes con infarto agudo de miocardio. Rev hab cienc méd [Internet]. 2023 [citado 18/02/2024];22(3):e5326. Disponible en: https://revhabanera.sld.cu/index.php/rhab/article/view/5326
12. Lang RM, Badano LP, Mor-Avi V, et al. Recommendations for Cardiac Chamber Quantification by Echocardiography in Adults: An Update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging. J Am Soc Echocardiog. 2015;28(1). DOI: 10.1016/j.echo.2014.10.003.
13. Collins GS, Dhiman P, Andaur Navarro CL, et al. Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence. BMJ Open [Internet]. 2021 [citado 18/02/2024];11(7):e048008. Disponible en: https://pubmed.ncbi.nlm.nih.gov/34244270
14. Humphrey Murto S, Varpio L, Wood TJ, et al. The use of the Delphi and other consensus group methods in medical education research: a review. Acad Med [Internet]. 2017 [citado 18/02/2024];92(10):1491-8. Disponible en: https://pubmed.ncbi.nlm.nih.gov/28678098/
15. Calzolari A. Aspectos prácticos del uso del coeficiente de concordancia W de Kendall para el jueceo de cuestionarios en enfermería. AranduPoty [Internet]. 2023 [citado 10/01/2024];2(2):23-32. Disponible en: http://www.revistarandupoty.com/index.php/AranduPoty/article/view/61
16. Álvarez-Aliaga A, Maceo-Gómez LR. Índices de predicción, algunos aspectos metodológicos para su construcción y validación. Multimed [Internet]. 2014 [citado 21/12/2023];18(2):102-21. Disponible en: http://www.revmultimed.sld.cu/index.php/mtm/article/view/45
17. Herrera Masó JR, Calero Ricardo JL, González Rangel MA, et al. El método de consulta a expertos en tres niveles de validación. Rev hab cienc méd [Internet]. 2022 [citado 18/02/2024];21(1):e4711. Disponible en: http://www.revhabanera.sld.cu/index.php/rhab/article/view/4711
18. World Medical Association. World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. JAMA. 2013;310(20):2191-4. DOI: 10.1001/jama.2013.281053.
19. Moons KGM, Altman DG, Reitsma JB, et al. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): explanation and elaboration. Ann Intern Med. 2015;162(1):W1-73. DOI: 10.7326/M14-0698.
20. Chan Pin Yin D, Azzahhafi J, James S, et al. Risk Assessment Using Risk Scores in Patients with Acute Coronary Syndrome. J Clin Med. 2020;9(9):3039. DOI: 10.3390/jcm9093039.
21. Santos-Medina M, Gutiérrez-Martínez Á, Obregón-Santos ÁG, et al. Estratificación de riesgo en pacientes con infarto agudo de miocardio mediante el uso de varias escalas. CorSalud [Internet]. 2021 [citado 18/02/2024];13(3):271-81. Disponible en: https://revcorsalud.sld.cu/index.php/cors/article/view/816
22. León-Fajardo AM, Peña-Vidal R, Cisneros-Ramírez OL, et al. Puntaje GRACE en la predicción del riesgo en pacientes con infarto agudo de miocardio. Arch Hosp Univ Gen Calixto García [Internet]. 2023 [citado 27/11/2023];11(1). Disponible en: https://revcalixto.sld.cu/index.php/ahcg/article/view/1044
23. Hierrezuelo-Rojas N, Caballero GR, Hernández Magdariaga A, et al. Escala predictiva de mortalidad por afección cardiovascular en adultos mayores del municipio de Santiago de Cuba. Medisan [Internet]. 2023 [citado 18/02/2024];27(4):e4415. Disponible en: https://medisan.sld.cu/index.php/san/article/view/4415
24. Valdés-Ramos ER, Álvarez-Aleaga A. Índice predictivo de cardiopatía isquémica en personas con diabetes mellitus. Rev Cubana Med Mil [Internet]. 2022 [citado 03/12/2023];51(4):02202190. Disponible en: https://revmedmilitar.sld.cu/index.php/mil/article/view/2190
25. Timoteo AT, Aguiar Rosa S, Alfonso Nogueira M, et al. ProACS risk score: An early and simple score for risk stratification of patients with acute coronary syndromes. Rev Port Cardiol. 2017;36(2):77-83. DOI: 10.1016/j.repc.2016.05.010.
26. Robledo-Abarca OM, Narváez-Escobedo MA, Reyes-Chávez PD, et al. Diseño y validación de una hoja de control para la hipertensión arterial. Bol Semillero Investig Fam. 2023;5(1). DOI: 10.22579/27448592.952.
27. Peña-Sisto M, López-Barroso R. Diseño y validación de una escala de riesgo de parto pretérmino con enfoque periodontal. Medisan [Internet]. 2023 [citado 18/02/2024];27(4):e4647. Disponible en: https://medisan.sld.cu/index.php/san/article/view/4647
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