Reclassification of the Framingham risk score and its agreement with other three calculations
DOI:
https://doi.org/10.5294/aqui.2019.19.2.9Keywords:
Cardiovascular diseases, epidemiological studies, mortality, morbidity, epidemiologyAbstract
Reclassificação do escore de risco de Framingham e sua concordância com outros três cálculos
Reclasificación del score de riesgo de Framingham y su concordancia con otros tres cálculos
Objective: To investigate the concordance between the modified Framingham score using the ankle-brachial index and the high-sensitivity C-reactive protein with the other scores. Materials and method: Cross-sectional study nested with a cohort, with elderly population, from January to March, 2018. The population characterization was presented as mean, median, absolute and relative frequencies according to degree of normality. The Kappa concordance of the modified Framingham score was calculated with the Framingham score itself, with the Systematic Coronary Risk Evaluation (Score) and with the Prospective Cardiovascular Munster (Procam). Results: The modified Framingham score shows moderate Kappa concordance with the Framingham score and the Score (p < 0.001), but weak with Procam. The ultra-sensitive C-reactive protein presented more reclassification of individuals among risk strata than the ankle-brachial index. Conclusions: The Framingham score modified with the Framingham score itself, and then with the Score obtained a higher proportion of concordant cases in the high-risk stratum. High-sensitivity C-reactive protein and the ankle-brachial index modify cardiovascular risk as emerging factors to provide an accurate risk stratification and to infer better management of the therapy. Thus, the Framingham score with its reclassification is the best screening tool for cardiovascular risk.
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Santos A, Casotti CA. Reclassification of the Framingham risk score and its agreement with other three calculations. Aquichan 2019; 19(2): e1929. DOI: 10.5294/aqui.2019.19.2.9
Received: 26/10/2018
Approbed: 22/04/2019
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References
Garcia GT, Stamm AMN de F, Rosa AC, Marasciulo AC, Marasciulo RC, Battistella C et al. Degree of Agreement between Cardiovascular Risk Stratification Tools. Arq. Bras. Cardiol. 2017; 108(5):427-35. DOI: 10.5935/abc.20170057
Campos OAM de, Nazário NO, Fialho SC de MS, Fialho GL, Oliveira FJS de, Castro GRW de et al. Avaliação do risco cardiovascular de pacientes com artrite reumatoide utilizando o índice SCORE. Rev bras reumatol. 2016; 56(2):138-44. DOI: 10.1016/j.rbr.2015.07.007
Guimarães NS, Caporali JF de M, Reis PV do CC, Tanajura PR, Guimarães AR, Tupinambás U. Alterações metabólicas e estimativa de risco cardiovascular em pessoas vivendo com HIV/AIDS doze meses após o início da TARV. Rev Med Minas Gerais. 2017; 27:e-1859. DOI: 10.5935/2238-3182.20170054
Fernandes PV, Castro MM de, Fuchs A, Machado MC da R, Oliveira FD de, Silva LB et al. Valor Preditivo do Escore de Framingham. Int J Cardiovasc Sci. 2015; 28(1):4-8. DOI: 10.5935/2359-4802.20150002
Malachias MVB, Neves MFT, Mion Júnior D, Silva GV, Lopes HF, Oigman W. 7ª Diretriz Brasileira de Hipertensão Arterial: Capítulo 4 — Estratificação de Risco Cardiovascular. Arq. Bras. Cardiol. 2016; 107(3, Suppl. 3):18-24. DOI: 10.5935/abc.20160154
Matheus ASM, Palma CCSSV, Júnior CRMA. Marcadores de aterosclerose subclínica no diabetes. Revista HUPE. 2015; 14(4):54-8. DOI: 10.12957/rhupe.2015.20059
Malachias MVB, Gomes MAM, Nobre F, Alessi A, Feitosa AD, Coelho EB. 7ª Diretriz Brasileira de Hipertensão Arterial: Capítulo 2 – Diagnóstico e Classificação. Arq. Bras. Cardiol. 2016; 107 (3Supl.3):7-13. DOI: 10.5935/abc.20160152
Milech A, Angelucc AP, Golbert A, Matheus A, Carrilho AJF, Ramalho AC et al. Diretrizes da Sociedade Brasileira de Diabetes (2015-2016). São Paulo: A.C. Farmacêutica; 2016.
Xavier HT, Izar MC, Faria Neto JR, Assad MH, Rocha VZ, Sposito AC et al. V Diretriz Brasileira de Dislipidemias e Prevenção da Aterosclerose. Arq. Bras. Cardiol. 2013; 101(4Supl.1):1-22. DOI: 10.5935/abc.2013S010
Verberk WJ, Kollias A, Stergiou GS. Automated oscillometric determination of the ankle-brachial index: a systematic review and meta-analysis. Hypertens Res. 2012; 35(9):883-91. DOI: 10.1038/hr.2012.83
Brasil. Ministério da Saúde. Cadernos de Atenção Básica. Estratégias para o cuidado da pessoa com doença crônica: hipertensão arterial sistêmica. Brasília: Ministério da Saúde; 2013.
Altman DG. Pratical Statistics for Medical Research. London: Chapman & Hall/CRC; 1990.
Mengue SS, Bertoldi AD, Ramos LR, Farias MR, Oliveira MA, Tavares NUL. Acesso e uso de medicamentos para hipertensão arterial no Brasil. Rev Saúde Pública 2016; 50(supl 2):8s. DOI: 10.1590/s1518-8787.2016050006154
Andrade SS de A, Stopa SR, Brito AS, Chueri PS, Szwarcwald CL, Malta DC. Prevalência de hipertensão arterial autorreferida na população brasileira, 2013. Epidemiol. Serv. Saúde. 2015; 24(2):297-304. DOI: 10.5123/S1679-49742015000200012
Menezes TN de, Oliveira ECT, Fischer MATS, Esteves GH. Prevalência e controle da hipertensão arterial em idosos: um estudo populacional. Rev port saúde pública. 2016; 34(2):117-24. DOI: 10.1016/j.rpsp.2016.04.001
Malta DC, Bernal RTI, Andrade SSC de A, Silva MMA da, Melendez GV. Hipertensão arterial em adultos brasileiros, 2013. Rev Saude Publica. 2017; 51(Supl 1):11s. DOI: 10.1590/s1518-8787.2017051000006
Instituto Brasileiro de Geografia e Estatística (IBGE). Contagem Populacional. Disponível em: https://ww2.ibge.gov.br/home/estatistica/populacao/trabalhoerendimento/pnad2015/default.shtm
Schneider ALC, Pankow JS, Heiss G, Selvin E. Validity and Reliability of Self-reported Diabetes in the Atherosclerosis Risk in Communities Study. American Journal of Epidemiology. 2012; 176(Issue8):738-43. DOI: 10.1093/aje/kws156
Collins GS, Altman A. Predictingthe 10-year risk of cardiovascular disease in the United Kingdom: independent and external validation of an updated version of QRISK2. BMJ. 2012; 344:e4181. DOI: 10.1136/bmj.e4181
Bazo-Alvarez JC, Quispe R, Peralta F, Poterico JA, Valle GA, Burroughs M, et al; Peru Migrant Study; Cronicas Cohort Study Group. Agreement between cardiovascular disease risk scores in resource-limited settings: evidence from 5 Peruvian sites. Crit Pathw Cardiol. 2015;14(2):74-80. DOI: 10.1097/HPC.0000000000000045
Cooney MT, D. A., Graham IM. Value and limitations of existing scores for the assessment of cardiovascular risk: a review for clinicians. J Am Coll Cardiol. 2009; 54:1209-27. DOI: 10.1016/j.jacc.2009.07.020
Libby P, Crea F. Clinical implications of inflammation for cardiovascular primary prevention. European Heart Journal. 2010; 31(7):777-83. DOI: 10.1093/eurheartj/ehq022
US Preventive Services Task Force. Risk Assessment for Cardiovascular Disease with Nontraditional Risk Factors US Preventive Services Task Force Recommendation Statement. JAMA. 2018; 320(3):272-80. DOI: 10.1001/jama.2018.8359
Ohkuma T, Ninomiya T, Tomiyama H, Kario K, Hoshide S, Kita Y et al. Ankle-brachial index measured by oscillometryis predictive for cardiovascular disease and premature death in the Japanese population: An individual participant data meta-analysis. Atherosclerosis. 2018; 275:141-8. DOI: 10.1016/j.atherosclerosis.2018.05.048
Forés R, Alzamora MT, Pera G, Baena-Díez JM, Mundet-Tuduri X, Torán P. Contribution of the ankle-brachial index to improve the prediction of coronary risk: The ARTPER cohort. 2018; 13(1):e0191283. DOI: 10.1371/journal.pone.0191283
Miname M, Bensenor IM, Lotufo PA. Different methods of calculatin gankle-brachial index in mid-elderly men and women: the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Braz J Med Biol Res. 2016; 49(12):e5734. DOI: 10.1590/1414-431X20165734
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