Perbandingan Risiko Kardiovaskuler Menggunakan Metode Framingham, WHO Chart dan ASCVD Pada Pekerja PT. X Tahun 2021
Comparison of Cardiovascular Risk Using the Framingham Method, WHO Chart and ASCVD in PT. X Year 2021
Abstract
Latar Belakang: Penyakit kardiovaskular (CVD) adalah penyebab kematian nomor satu secara global, dan identifikasi lebih dini terhadap risiko tinggi sangat penting untuk mencegah penyakit CVD dan mengurangi biaya perawatan kesehatan. Mengetahui faktor risiko individu CVD dan memprediksi lebih awal risiko CVD akan membantu manajemen perusahaan mengelola Pekerja berisiko CVD dengan lebih baik. Jurnal ini juga akan mempelajari sensitivitas metode prediksi CVD Framingham Score (FRS) dan ASCVD terhadap WHO.
Metode: Desain studi penelitian ini adalah cross-sectional, data sekunder didapat dari 287 Pekerja yang melakukan pemeriksaan kesehatan di PT. X tahun 2021. Faktor risiko CVD dihitung dengan metode FRS, WHO dan ASCVD, juga dianalisis untuk mengetahui signifikansi faktor risiko terhadap potensi terjadinya CVD menggunakan program SPSS version 26 for Windows.
Hasil: Penelitian ini melibatkan 278 sampel, terdiri dari 87,8% laki-laki dan 12,2% perempuan. Perhitungan risiko CVD pada sample didapatkan hasil tinggi berdasarkan FRS, WHO dan ASCVD masing-masing sebagai berikut 11,5%, 1,1% dan 2,2%. Semua faktor risiko CVD meliputi gender, usia, kolesterol total, HDL, tekanan darah sistol, status diabetes, status merokok mempunyai pengaruh signifikan pada FRS, sedang WHO yang tidak berpengaruh signifikan pada BMI dan HDL ATP III, untuk ASCVD signifikan hanya pada gender, usia, tekanan darah sistolik dan status merokok.Kesimpulan: Dari penelitian kami didapatkan bahwa ketiga model (FRS, WHO Chart dan ASCVD) memiliki hasil kalkulasi yang berbeda terhadap faktor risiko CVD yangada dimana FRS memprediksi paling banyak beresiko tinggi dibandingkan dengan WHO dan ASCVD. Penelitian kami sejalan dengan beberapa penelitian bahwa metode WHO dan ASCVD mengidentifikasi hanya sedikit jumlah sampel mempunyai risiko CVD yang tinggi. Faktor risiko CVD utama pada penelitian kami yang signifikan pada 3 metode prediksi risiko baik menggunakan FRS, WHO dan ASCVD adalah usia, tekanan darah sistol dan merokok.
References
-1. World Health Organization. Global Status Report On Noncommunicable Diseases 2014. 2014;
Mannocci A, Pignalosa S, Nicosia V, Saulle R, Sernia S, La Torre G. Cardiovascular Diseases Risk Factors in oil and gas workers: A ten years observational retrospective cohort. Ann di Ig Med Prev e di Comunita. 2016;28(2):122–32.
Kementrian Kesehatan RI. Riskesdas 2018 [Internet]. Jakarta; 2019. 146 p. Available from: https://labdata.litbang.kemkes.go.id/images/download/laporan/RKD/2018/Laporan_Nasional_RKD2018_FINAL.pdf
Bavarsad PS, Kheiri S, Ahmadi A. Estimation of the 10-year risk of cardiovascular diseases: Using the SCORE, WHO/ISH, and framingham models in the shahrekord cohort study in southwestern Iran. J Tehran Univ Hear Cent. 2020;15(3):105–12.
Hasabullah M, Kahtani F, Balkhoyor T, Al-Harbi L, Kinsara AJ. A Comparison of Four Cardiovascular Risk Assessment Instruments in Saudi Patients. Cureus. 2020;(February).
D’Agostino RB, Pencina MJ, Massaro JM, Coady S. Cardiovascular disease risk assessment: Insights from Framingham. Glob Heart. 2013;8(1):11–23.
Babatunde OA, Olarewaju SO, Adeomi AA, Akande JO, Bashorun A, Umeokonkwo CD, et al. 10-year risk for cardiovascular diseases using WHO prediction chart: Findings from the civil servants in South-western Nigeria. BMC Cardiovasc Disord. 2020;20(1):1–10.
Ellen S. Slovin’s Formula Sampling Technique [Internet]. Sciencing. 2020 [cited 2022 May 3]. Available from: https://sciencing.com/slovins-formula-sampling-techniques-5475547.html
Genest J, McPherson R, Frohlich J, Anderson T, Campbell N, Carpentier A, et al. 2009 Canadian Cardiovascular Society/Canadian guidelines for the diagnosis and treatment of dyslipidemia and prevention of cardiovascular disease in the adult - 2009 recommendations. Can J Cardiol. 2009;25(10):567–79.
British Columbia Ministry of Health. Cardiovascular Disease - Primary Prevention: Resource Guide for Physicians. BCGuidelines.ca [Internet]. 2014; Available from: https://www2.gov.bc.ca/assets/gov/health/practitioner-pro/bc-guidelines/cvd_resource_guide.pdf
Hasandokht T, Salari A, Nikfarjam S, Soltanipour S, Shalchi M, Meibodi AS. Comparison Between ASCVD Versus WHO Risk Score in Predicting of 10-Year Cardiovascular Risk in an Iranian Adult: A Hospital-Based Cross-Sectional Study. Acta Med Iran. 2022;60(1):56–61.
WHO. Risk-based CVD management. 2020. 80 p.
Garg N, Muduli SK, Kapoor A, Tewari S, Kumar S, Khanna R, et al. Comparison of different cardiovascular risk score calculators for cardiovascular risk prediction and guideline recommended statin uses. Indian Heart J [Internet]. 2017;69(4):458–63. Available from: http://dx.doi.org/10.1016/j.ihj.2017.01.015
Khandia R, Puranik N, Lodhi N, Gautam B, Alqahtani T, Alqahtani AM, et al. Comparing heart risk scores to identify the most important risk factors for cardiovascular diseases. Eur Rev Med Pharmacol Sci. 2021;25(24):7947–63.
Chia YC, Gray SYW, Ching SM, Lim HM, Chinna K. Validation of the Framingham general cardiovascular risk score in a multiethnic Asian population: A retrospective cohort study. BMJ Open. 2015;5(5):1–7.
Wang T, Zhao Z, Yu X, Zeng T, Xu M, Xu Y, et al. Age-specific modifiable risk factor profiles for cardiovascular disease and all-cause mortality: a nationwide, population-based, prospective cohort study. Lancet Reg Heal - West Pacific. 2021;17.
Tran DMT, Lekhak N, Gutierrez K, Moonie S. Risk factors associated with cardiovascular disease among adult Nevadans. PLoS One [Internet]. 2021;16(2 February):1–11. Available from: http://dx.doi.org/10.1371/journal.pone.0247105
Gu D, Kelly TN, Wu X, Chen J, Duan X, Huang JF, et al. Blood pressure and risk of cardiovascular disease in chinese men and women. Am J Hypertens. 2008;21(3):265–72.
Bundy JD, Li C, Stuchlik P, Bu X, Kelly TN, Mills KT, et al. Systolic blood pressure reduction and risk of cardiovascular disease and mortality a systematic review and network meta-analysis. JAMA Cardiol. 2017;2(7):775–81.
Dal Canto E, Ceriello A, Rydén L, Ferrini M, Hansen TB, Schnell O, et al. Diabetes as a cardiovascular risk factor: An overview of global trends of macro and micro vascular complications. Eur J Prev Cardiol. 2019;26(2_suppl):25–32.
Einarson TR, Acs A, Ludwig C, Panton UH. Prevalence of cardiovascular disease in type 2 diabetes: A systematic literature review of scientific evidence from across the world in 2007-2017. Cardiovasc Diabetol [Internet]. 2018;17(1):1–19. Available from: https://doi.org/10.1186/s12933-018-0728-6
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