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Clustering of risk factors and the risk of new-onset hypertension defined by the 2017 ACC/AHA Hypertension Guideline

Abstract

The 2017 American College of Cardiology (ACC)/American Heart Association (AHA) lowered the diagnostic criteria for hypertension. We aimed to explore whether clustering of multiple risk factors are associated with the risk of new-onset hypertension defined by the 2017 ACC/AHA Hypertension Guideline. Subjects who attended ≥2 annual health examinations without baseline hypertension and cardiovascular disease were included. Hypertension was defined according to the 2017 ACC/AHA Hypertension Guideline. Seven predefined risk factors, including age, resting heart rate, overweight or obesity, dyslipidemia, hyperuricemia, impaired glucose regulation, and a poor estimated glomerular filtration rate, were analyzed. A composite, individual-level, cumulative score incorporating these seven risk factors (no = 0 point; yes = 1 point; total range of 0–7 points) was calculated. The association between the cumulative score and the risk of hypertension was analyzed using a Cox regression model. A total of 4424 (21.6%) of 20,190 subjects included had new-onset hypertension during a follow-up duration of 3.6 years. Compared with subjects with 0 points, the adjusted hazard ratios (95% confidence intervals) for the development of hypertension for those with 1, 2, 3, and ≥4 points were 1.21 (1.07–1.38), 1.34 (1.19–1.52), 1.44 (1.26–1.63), and 1.64 (1.44–1.87), respectively (P < 0.001), after adjustment for sex and baseline blood pressure. Age, resting heart rate, overweight/obesity, dyslipidemia, hyperuricemia, impaired glucose regulation, and a poor estimated glomerular filtration rate are associated with an increased risk of future hypertension. When these factors are combined, there is an accumulated increase in risk.

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References

  1. Son JS, Choi S, Kim K, Kim SM, Choi D, Lee G, et al. Association of blood pressure classification in Korean young adults according to the 2017 American College of Cardiology/American Heart Association Guidelines with subsequent cardiovascular disease events. J Am Med Assoc. 2018;320:1783–92.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Yano Y, Reis JP, Colangelo LA, Shimbo D, Viera AJ, Allen NB, et al. Association of blood pressure classification in young adults using the 2017 American College of Cardiology/American Heart Association blood pressure guideline with cardiovascular events later in life. J Am Med Assoc. 2018;320:1774–82.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Wang Z, Chen Z, Zhang L, Wang X, Hao G, Zhang Z, et al. Status of hypertension in China: results from the China Hypertension Survey, 2012–2015. Circulation. 2018;137:2344–56.

    Article  PubMed  Google Scholar 

  4. Huang Y, Wang S, Cai X, Mai W, Hu Y, Tang H, et al. Prehypertension and incidence of cardiovascular disease: a meta-analysis. BMC Med. 2013;11:177.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Huang Y, Cai X, Zhang J, Mai W, Wang S, Hu Y, et al. Prehypertension and Incidence of ESRD: a systematic review and meta-analysis. Am J Kidney Dis. 2014;63:76–83.

    Article  PubMed  Google Scholar 

  6. Huang Y, Deng Z, Se Z, Bai Y, Yan C, Zhan Q, et al. Combined impact of risk factors on the subsequent development of hypertension. J Hypertens. 2019;37:696–701.

    Article  CAS  PubMed  Google Scholar 

  7. Whelton PK, Carey RM, Aronow WS, Casey DJ, Collins KJ, Dennison HC, et al. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the prevention, detection, evaluation, and management of high blood pressure in adults: a report of the American College of Cardiology/American Heart Association Task Force on clinical practice guidelines. Circulation. 2018;138:e484–e594.

    PubMed  Google Scholar 

  8. Ioannidis J. Diagnosis and Treatment of Hypertension in the 2017 ACC/AHA Guidelines and in the Real World. J Am Med Assoc. 2018;319:115–6.

    Article  Google Scholar 

  9. Zhou B. Predictive values of body mass index and waist circumference to risk factors of related diseases in Chinese adult population. Zhonghua Liu Xing Bing Xue Za Zhi. 2002;23:5–10.

    PubMed  Google Scholar 

  10. Friedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem. 1972;18:499–502.

    Article  CAS  PubMed  Google Scholar 

  11. Report of the expert committee on the diagnosis and classification of diabetes mellitus. Diabetes Care 2003;26:S5–S20.

  12. Joint Committee for Developing Chinese guidelines on Prevention and Treatment of Dyslipidemia in Adults. Chinese guidelines on prevention and treatment of dyslipidemia in adults. Zhonghua Xin Xue Guan Bing Za Zhi. 2007; 35:390-419.

  13. Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AR, Feldman HI, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009;150:604–12.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Williams B, Mancia G, Spiering W, Agabiti RE, Azizi M, Burnier M, et al. 2018 ESC/ESH Guidelines for the management of arterial hypertension: The Task Force for the management of arterial hypertension of the European Society of Cardiology and the European Society of Hypertension: The Task Force for the management of arterial hypertension of the European Society of Cardiology and the European Society of Hypertension. J Hypertens. 2018;36:1953–2041.

    Article  CAS  PubMed  Google Scholar 

  15. Liu LS. 2010 Chinese guidelines for the management of hypertension. Zhonghua Xin Xue Guan Bing Za Zhi. 2011;39:579–615.

    PubMed  Google Scholar 

  16. Kibria G, Swasey K, Hasan MZ, Choudhury A, Gupta RD, Abariga SA, et al. Determinants of hypertension among adults in Bangladesh as per the Joint National Committee 7 and 2017 American College of Cardiology/American Hypertension Association hypertension guidelines. J Am Soc Hypertens. 2018;12:e45–e55.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Takase H, Dohi Y, Toriyama T, Okado T, Tanaka S, Sonoda H, et al. Evaluation of risk for incident hypertension using glomerular filtration rate in the normotensive general population. J Hypertens. 2012;30:505–12.

    Article  CAS  PubMed  Google Scholar 

  18. Buzas R, Tautu OF, Dorobantu M, Ivan V, Lighezan D. Serum uric acid and arterial hypertension—data from Sephar III survey. PLoS ONE. 2018;13:e199865.

    Article  Google Scholar 

  19. Sung KC, Byrne CD, Ryu S, Lee JY, Lee SH, Kim JY, et al. Baseline and change in uric acid concentration over time are associated with incident hypertension in Large Korean Cohort. Am J Hypertens. 2017;30:42–50.

    Article  CAS  PubMed  Google Scholar 

  20. Aladin AI, Al RM, Rasool SH, Keteyian SJ, Brawner CA, Michos ED, et al. The association of resting heart rate and incident hypertension: the Henry Ford Hospital Exercise Testing (FIT) project. Am J Hypertens. 2016;29:251–7.

    Article  PubMed  Google Scholar 

  21. Kim JR, Kiefe CI, Liu K, Williams OD, Jacobs DJ, Oberman A. Heart rate and subsequent blood pressure in young adults: the CARDIA study. Hypertension. 1999;33:640–6.

    Article  CAS  PubMed  Google Scholar 

  22. Thawornchaisit P, de Looze F, Reid CM, Seubsman SA, Sleigh AC. Health risk factors and the incidence of hypertension: 4-year prospective findings from a national cohort of 60,569 Thai Open University students. BMJ Open. 2013;3:e002826.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Jackson SL, Zhang Z, Wiltz JL, Loustalot F, Ritchey MD, Goodman AB, et al. Hypertension among youths-United States, 2001-2016. Am J Transpl. 2018;18:2356–60.

    Article  Google Scholar 

  24. Gupta R, Gaur K, S Ram CV. Emerging trends in hypertension epidemiology in India. J Hum Hypertens. 2019;33:575–87.

    Article  PubMed  Google Scholar 

  25. Carey RM, Muntner P, Bosworth HB, Whelton PK. Prevention and control of hypertension: JACC health promotion series. J Am Coll Cardiol. 2018;72:1278–93.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

YH received Research Funding from the Science and Technology Innovation Project from Foshan, Guangdong (FS0AA-KJ218-1301-0006), Scientific research start-up plan of Southern Medical University (CX2018N202) the Clinical Research Startup Program of Shunde Hospital, Southern Medical University (CRSP2019001). DM received Research Funding from Guangzhou Science and Technology Project Industry, University and Research Collaborative Innovation Major Project (201704020106), Clinical Research and Cultivation Project of Southern Medical University (LC2016PY054).

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Correspondence to Dingli Xu.

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Huang, Y., Dai, M., Deng, Z. et al. Clustering of risk factors and the risk of new-onset hypertension defined by the 2017 ACC/AHA Hypertension Guideline. J Hum Hypertens 34, 372–377 (2020). https://doi.org/10.1038/s41371-019-0232-9

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