Comparison between clinic and home measurements of blood pressure, total cholesterol, blood sugar to identify 10-year atherosclerotic cardiovascular disease risk score
DOI:
https://doi.org/10.12928/pharmaciana.v11i1.13731Keywords:
atherosclerotic cardiovascular disease (ASCVD), blood pressure, blood sugar, total-cholesterol, home measurementAbstract
The clinical guideline recommends home monitoring for hypertension, diabetes, and hyperlipidemia maintenance therapy. The study aimed to compare the 10-year atherosclerotic cardiovascular disease (ASCVD) risk calculated using systolic blood pressure, fasting total-cholesterol, and fasting blood sugar measured at the clinic and home. This analytical cross-sectional study was done in population from villages in Sleman District, Yogyakarta. The subjects were selected purposively with the criteria of 40-79 years old and signing the informed consent. The home-measured systolic blood pressure was monitored with a digital sphygmomanometer and peripheral finger-stick methods for cholesterol and blood sugar. On the same occasion, the clinic measurements were monitored with a mercury sphygmomanometer for systolic blood pressure, and with venous plasma analyzed in the laboratory for cholesterol and blood glucose. Measurements between methods were compared with paired T-tests. The subjects (n=171) had a mean age of 52.6 (8.1) years; 21.6% were male. The systolic blood pressure, total cholesterol, and blood glucose from clinic and home measurement were 130.0 (21.1) mmHg and 137.6 (22.4) mmHg (p<0.001); 202.8 (32.8) mg/dl and 205.2 (44.8) mg/dl (p= 0.44); and 98.5 (42.9) mg/dl and 91.9 (34.6) mg/dl (p<0.001) respectively. The average ASCVD risks of the clinic and home measurements were 6.4 (6.2)% and 7.1 (6.9)% (p<0.001); however, both methods had the same ASCVD risk category at borderline risk (5-<7.5%). Conclusion: The ASCVD risk scores calculated using clinic and home measurements were statistically different.
References
American Diagnostic Corporation. (2008). Accurate blood pressure measurement: why do monitors read high? (pp. 1–2).
Blaurock, M. G., Kallner, A., Menzel, S., Masuch, A., Nauck, M., & Petersmann, A. (2018). Impact of glucose measuring systems and sample type on diagnosis rates of diabetes mellitus. Diabetes Therapy, 9(5), 2029–2041. https://doi.org/10.1007/s13300-018-0495-0
Boyd, R., Leigh, B., & Stuart, P. (2005). Capillary versus venous bedside blood glucose estimations. Emergency Medicine Journal, 22(3), 177–179. https://doi.org/10.1136/emj.2003.011619
Chan, Y. H. (2005). Biostatistics 304. Cluster analysis. Singapore Medical Journal, 46(4), 153–160.
Davis, B. H., McLaren, C. E., Carcio, A. J., Wong, L., Hedley, B. D., Keeney, M., Curtis, A., & Culp, N. B. (2013). Determination of optimal replicate number for validation of imprecision using fluorescence cell-based assays: Proposed practical method. Cytometry Part B - Clinical Cytometry, 84(5), 329–337. https://doi.org/10.1002/cyto.b.21116
Douglas, G., & Channon, K. M. (2014). The pathogenesis of atherosclerosis. Medicine (United Kingdom), 42(9), 480–484. https://doi.org/10.1016/j.mpmed.2014.06.011
Dupont, W. D., & Plummer, W. D. (1998). Power and sample size calculations for studies involving linear regression. Controlled Clinical Trials, 19(6), 589–601. https://doi.org/10.1016/S0197-2456(98)00037-3
Greenland, P., Bowley, N. L., Meiklejohn, B., Doane, K. L., & Sparks, C. E. (1990). Blood cholesterol concentration: Fingerstick plasma vs venous serum sampling. Clinical Chemistry, 36(4), 628–630. https://doi.org/10.1093/clinchem/36.4.628
Grundy, S. M., Stone, N. J., Bailey, A. L., Beam, C., Birtcher, K. K., Blumenthal, R. S., Braun, L. T., de Ferranti, S., Faiella-Tommasino, J., Forman, D. E., Goldberg, R., Heidenreich, P. A., Hlatky, M. A., Jones, D. W., Lloyd-Jones, D., Lopez-Pajares, N., Ndumele, C. E., Orringer, C. E., Peralta, C. A., … Yeboah, J. (2019). 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Journal of the American College of Cardiology, 73(24), 3168–3209. https://doi.org/10.1016/j.jacc.2018.11.002
Kwak, S. G., & Kim, J. H. (2017). Cornerstone of modern statistics. Korean Journal of Anesthesiology, 70(2), 144–156.
Lloyd-Jones, D. M., Braun, L. T., Ndumele, C. E., Smith, S. C., Sperling, L. S., Virani, S. S., & Blumenthal, R. S. (2019). Use of risk assessment tools to guide decision-making in the primary prevention of atherosclerotic cardiovascular disease: a special peport from the american heart association and american college of cardiology. Journal of the American College of Cardiology, 73(24), 3153–3167. https://doi.org/10.1016/j.jacc.2018.11.005
Midilli, T. S., Ergın, E., Baysal, E., & Arı, Z. (2019). Comparison of glucose values of blood samples taken in three different ways. Clinical Nursing Research, 28(4), 436–455. https://doi.org/10.1177/1054773817719379
Myers, M. G., McInnis, N. H., Fodor, G. J., & Leenen, F. H. H. (2008). Comparison between an automated and manual sphygmomanometer in a population survey. American Journal of Hypertension, 21(3), 280–283. https://doi.org/10.1038/ajh.2007.54
Nargesi, A. A., Ghazizadeh, Z., Larry, M., Morteza, A., Heidari, F., Asgarani, F., Esteghamati, A., Mohammad, K., & Nakhjavani, M. (2014). Manual or automated sphygmomanometer? A historical cohort to quantify measurement bias in blood pressure recording. Journal of Clinical Hypertension, 16(10), 716–721. https://doi.org/10.1111/jch.12400
Parikh, P., Mochari, H., & Mosca, L. (2009). Measurement issues: clinical utility of a fingerstick technology to identify individuals with abnormal blood lipids and high-sensitivity C-reactive protein levels. American Journal of Health Promotion, 23(4), 279–282. https://doi.org/10.4278/ajhp.071221140
Pariona, A. (2017). Leading causes of death in Indonesia - WorldAtlas.
Patel, N., & Patel, K. (2015). A comparative study of venous and capillary blood glucose levels by different methods. GCSMC J Med Sci, IV(June), 53–56.
Pickering, T. G., Hall, J. E., Appel, L. J., Falkner, B. E., Graves, J., Hill, M. N., Jones, D. W., Kurtz, T., Sheps, S. G., & Roccella, E. J. (2005). Recommendations for blood pressure measurement in humans and experimental animals: Part 1: Blood pressure measurement in humans - A statement for professionals from the Subcommittee of Professional and Public Education of the American Heart Association Co. Circulation, 111(5), 697–716. https://doi.org/10.1161/01.CIR.0000154900.76284.F6
Rajaratnam, H., & Pathmanathan, S. (2012). How reliable are capillary blood glucose measurements? Sri Lanka Journal of Diabetes Endocrinology and Metabolism, 1(1), 23–24. https://doi.org/10.4038/sjdem.v1i1.4184
Riddle, M. C., Bakris, G., Boulton, A. J. ., D’Alessio, D., De Groot, M., Greene, E. L., & Hu, F. B. (2018). Updates to the Standards of Medical Care in Diabetes-2018. Diabetes Care, 41(9), 2045–2047. https://doi.org/10.2337/dc18-su09
Roth, G. A., Johnson, C., Abajobir, A., Abd-Allah, F., Abera, S. F., Abyu, G., Ahmed, M., Aksut, B., Alam, T., Alam, K., Alla, F., Alvis-Guzman, N., Amrock, S., Ansari, H., Ärnlöv, J., Asayesh, H., Atey, T. M., Avila-Burgos, L., Awasthi, A., … Murray, C. (2017). Global, regional, and national burden of cardiovascular diseases for 10 causes, 1990 to 2015. Journal of the American College of Cardiology, 70(1), 1–25. https://doi.org/10.1016/j.jacc.2017.04.052
Sblendorio, V., Palmieri, B., & Riccionii, G. (2008). Fingerstick versus venous sampling. International Journal of Immunopathology and Pharmacology, 21(3), 729–733.
Stergiou, G. S., Asayama, K., Thijs, L., Kollias, A., Niiranen, T. J., Hozawa, A., Boggia, J., Johansson, J. K., Ohkubo, T., Tsuji, I., Jula, A. M., Imai, Y., & Staessen, J. A. (2014). Prognosis of white-coat and masked hypertension: International database of home blood pressure in relation to cardiovascular outcome. Hypertension, 63(4), 675–682. https://doi.org/10.1161/HYPERTENSIONAHA.113.02741
Stone, N. J., Robinson, J. G., Lichtenstein, A. H., Bairey, C. N., Blum, C. B., Eckel, R. H., Goldberg, A. C., Gordon, D., Levy, D., Lloyd-Jones, D. M., McBride, P., Schartz, J. S., Shero, S. T., Smith, S. C., Watson, K., & Wilson, P. W. . (2015). Erratum: 2013 ACC/AHA guideline on the treatment of blood cholesterol to reduce atherosclerotic cardiovascular risk in adults: A report of the American college of cardiology/American Heart association task force on practice guidelines. Journal of the American College of Cardiology, 66(24), 2812. https://doi.org/10.1016/j.jacc.2015.11.019
Suhadi, R., Linawati, Y., Wulandari, E. T., Viriginia, D. M., & Setiawan, C. H. (2017). The metabolic disorders and cardiovascular risk among lower socioeconomic subjects in Yogyakarta-Indonesia. Asian Journal of Pharmaceutical and Clinical Research, 10(3), 367–372. https://doi.org/10.22159/ajpcr.2017.v10i3.16310
Unger, T., Borghi, C., Charchar, F., Khan, N. A., Poulter, N. R., Prabhakaran, D., Ramirez, A., Schlaich, M., Stergiou, G. S., Tomaszewski, M., Wainford, R. D., Williams, B., & Schutte, A. E. (2020). 2020 international society of hypertension global hypertension practice guidelines. Hypertension, 75(6), 1334–1357. https://doi.org/10.1161/HYPERTENSIONAHA.120.15026
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