A population-based study of 92 clinically recognized risk factors for heart failure: co-occurrence, prognosis and preventive potential

Amitava Banerjee, Laura Pasea, Sheng-Chia Chung, Kenan Direk, Folkert W. Asselbergs, Diederick E Grobbee, Dipak Kotecha, Stefan D Anker, Tomasz Dyszynski, Benoît Tyl, Spiros Denaxas, R Thomas Lumbers, Harry Hemingway, Amitava Banerjee, Laura Pasea, Sheng-Chia Chung, Kenan Direk, Folkert W. Asselbergs, Diederick E Grobbee, Dipak Kotecha, Stefan D Anker, Tomasz Dyszynski, Benoît Tyl, Spiros Denaxas, R Thomas Lumbers, Harry Hemingway

Abstract

Aims: Primary prevention strategies for heart failure (HF) have had limited success, possibly due to a wide range of underlying risk factors (RFs). Systematic evaluations of the prognostic burden and preventive potential across this wide range of risk factors are lacking. We aimed at estimating evidence, prevalence and co-occurrence for primary prevention and impact on prognosis of RFs for incident HF.

Methods and results: We systematically reviewed trials and observational evidence of primary HF prevention across 92 putative aetiologic RFs for HF identified from US and European clinical practice guidelines. We identified 170 885 individuals aged ≥30 years with incident HF from 1997 to 2017, using linked primary and secondary care UK electronic health records (EHR) and rule-based phenotypes (ICD-10, Read Version 2, OPCS-4 procedure and medication codes) for each of 92 RFs. Only 10/92 factors had high quality observational evidence for association with incident HF; 7 had effective randomized controlled trial (RCT)-based interventions for HF prevention (RCT-HF), and 6 for cardiovascular disease prevention, but not HF (RCT-CVD), and the remainder had no RCT-based preventive interventions (RCT-0). We were able to map 91/92 risk factors to EHR using 5961 terms, and 88/91 factors were represented by at least one patient. In the 5 years prior to HF diagnosis, 44.3% had ≥4 RFs. By RCT evidence, the most common RCT-HF RFs were hypertension (48.5%), stable angina (34.9%), unstable angina (16.8%), myocardial infarction (15.8%), and diabetes (15.1%); RCT-CVD RFs were smoking (46.4%) and obesity (29.9%); and RCT-0 RFs were atrial arrhythmias (17.2%), cancer (16.5%), heavy alcohol intake (14.9%). Mortality at 1 year varied across all 91 factors (lowest: pregnancy-related hormonal disorder 4.2%; highest: phaeochromocytoma 73.7%). Among new HF cases, 28.5% had no RCT-HF RFs and 38.6% had no RCT-CVD RFs. 15.6% had either no RF or only RCT-0 RFs.

Conclusion: One in six individuals with HF have no recorded RFs or RFs without trials. We provide a systematic map of primary preventive opportunities across a wide range of RFs for HF, demonstrating a high burden of co-occurrence and the need for trials tackling multiple RFs.

Trial registration: ClinicalTrials.gov NCT04396418 NCT00832442.

Keywords: Epidemiology; Heart failure; Primary prevention; Risk factor.

© 2021 The Authors. European Journal of Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.

Figures

Figure 1
Figure 1
Prevalence of risk factors recorded any time in the 5 years before first diagnosis of heart failure in 170 885 patients, classified by mode of action (diseased myocardium, abnormal loading, arrhythmic and other) and evidence for preventive treatment (RCT‐HF, RCT‐CVD, RCT‐0, or 0/92 risk factors). Factors with

Figure 2

Five‐year all‐cause mortality from time…

Figure 2

Five‐year all‐cause mortality from time of incident heart failure diagnosis by risk factors…

Figure 2
Five‐year all‐cause mortality from time of incident heart failure diagnosis by risk factors (n = 89) in 170 855 individuals with incident heart failure. ARVC, arrhythmogenic right ventricular cardiomyopathy; HIV, immunodeficiency virus; NSAID, non‐steroidal anti‐inflammatory drug

Figure 3

Five‐year mortality in patients with…

Figure 3

Five‐year mortality in patients with incident heart failure (HF) ( n = 170…

Figure 3
Five‐year mortality in patients with incident heart failure (HF) (n = 170 885) by the 12 most common risk factors at any time in the preceding 5 years. MI, myocardial infarction.

Figure 4

Number of risk factors co‐occurring…

Figure 4

Number of risk factors co‐occurring in patients and proportion of patients with at…

Figure 4
Number of risk factors co‐occurring in patients and proportion of patients with at least one risk factor treatable for heart failure prevention or cardiovascular disease prevention, stratified by age group (n = 170 855).
Figure 2
Figure 2
Five‐year all‐cause mortality from time of incident heart failure diagnosis by risk factors (n = 89) in 170 855 individuals with incident heart failure. ARVC, arrhythmogenic right ventricular cardiomyopathy; HIV, immunodeficiency virus; NSAID, non‐steroidal anti‐inflammatory drug
Figure 3
Figure 3
Five‐year mortality in patients with incident heart failure (HF) (n = 170 885) by the 12 most common risk factors at any time in the preceding 5 years. MI, myocardial infarction.
Figure 4
Figure 4
Number of risk factors co‐occurring in patients and proportion of patients with at least one risk factor treatable for heart failure prevention or cardiovascular disease prevention, stratified by age group (n = 170 855).

References

    1. Conrad N, Judge A, Tran J, Mohseni H, Hedgecott D, Crespillo AP, et al. Temporal trends and patterns in heart failure incidence: a population‐based study of 4 million individuals. Lancet. 2018;391:572–80.
    1. Bhatnagar P, Wickramasinghe K, Wilkins E, Townsend N. Trends in the epidemiology of cardiovascular disease in the UK. Heart. 2016;102:1945–52.
    1. Ponikowski P, Voors AA, Anker SD, Bueno H, Cleland JGF, Coats AJS, et al.; ESC Scientific Document Group . 2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure: The Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC). Developed with the special contribution of the Heart Failure Association (HFA) of the ESC. Eur J Heart Fail. 2016;18:891–975.
    1. Yancy CW, Jessup M, Bozkurt B, Butler J, Casey DE Jr, Colvin MM, et al. 2017 ACC/AHA/HFSA focused update of the 2013 ACCF/AHA guideline for the management of heart failure: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines and the Heart Failure Society of America. J Am Coll Cardiol. 2017;70:776–803.
    1. Ezekowitz JA, O'Meara E, McDonald MA, Abrams H, Chan M, Ducharme A, et al. 2017 comprehensive update of the Canadian Cardiovascular Society guidelines for the management of heart failure. Can J Cardiol. 2017;33:1342–433.
    1. Arnett DK, Blumenthal RS, Albert MA, Buroker AB, Goldberger ZD, Hahn EJ, et al. 2019 ACC/AHA Guideline on the primary prevention of cardiovascular disease: executive summary: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation. 2019;140:e563–95.
    1. Moran AE, Forouzanfar MH, Roth GA, Mensah GA, Ezzati M, Flaxman A, et al. The global burden of ischemic heart disease in 1990 and 2010: the Global Burden of Disease 2010 study. Circulation. 2014;129:1493–501.
    1. Cook C, Cole G, Asaria P, Jabbour R, Francis DP. The annual global economic burden of heart failure. Int J Cardiol. 2014;171:368–76.
    1. Khatibzadeh S, Farzadfar F, Oliver J, Ezzati M, Moran A. Worldwide risk factors for heart failure: a systematic review and pooled analysis. Int J Cardiol. 2013;168:1186–94.
    1. Bragazzi NL, Zhong W, Shu J, Abu Much A, Lotan D, Grupper A, et al. Burden of heart failure and underlying causes in 195 countries and territories from 1990 to 2017. Eur J Prev Cardiol. 2021;28:1682–90.
    1. Savarese G, Lund LH. Global public health burden of heart failure. Card Fail Rev. 2017;3:7–11.
    1. Everett BM, Cornel JH, Lainscak M, Anker SD, Abbate A, Thuren T, et al. Anti‐inflammatory therapy with canakinumab for the prevention of hospitalization for heart failure. Circulation. 2019;139:1289–99.
    1. Colpani V, Baena CP, Jaspers L, van Dijk GM, Farajzadegan Z, Dhana K, et al. Lifestyle factors, cardiovascular disease and all‐cause mortality in middle‐aged and elderly women: a systematic review and meta‐analysis. Eur J Epidemiol. 2018;33:831–45.
    1. Kamimura D, Cain LR, Mentz RJ, White WB, Blaha MJ, DeFilippis AP, et al. Cigarette smoking and incident heart failure: insights from the Jackson Heart Study. Circulation. 2018;137:2572–82.
    1. Spahillari A, Talegawkar S, Correa A, Carr JJ, Terry JG, Lima J, et al. Ideal cardiovascular health, cardiovascular remodeling, and heart failure in blacks: the Jackson Heart Study. Circ Heart Fail. 2017;10:e003682.
    1. Folsom AR, Shah AM, Lutsey PL, Roetker NS, Alonso A, Avery CL, et al. American Heart Association's Life's Simple 7: avoiding heart failure and preserving cardiac structure and function. Am J Med. 2015;128:970–6.e2.
    1. Folsom AR, Yamagishi K, Hozawa A, Chambless LE; Atherosclerosis Risk in Communities (ARIC) Study Investigators . Absolute and attributable risks of heart failure incidence in relation to optimal risk factors. Circ Heart Fail. 2009;2:11–7.
    1. Butler J. Primary prevention of heart failure. ISRN Cardiol. 2012;2012:982417.
    1. Bleumink GS, Knetsch AM, Sturkenboom MC, Straus SM, Hofman A, Deckers JW, et al. Quantifying the heart failure epidemic: prevalence, incidence rate, lifetime risk and prognosis of heart failure: the Rotterdam Study. Eur Heart J. 2004;25:1614–9.
    1. Ahmad FS, Ning H, Rich JD, Yancy CW, Lloyd‐Jones DM, Wilkins JT. Hypertension, obesity, diabetes, and heart failure‐free survival: the Cardiovascular Disease Lifetime Risk Pooling Project. JACC Heart Fail. 2016;4:911–9.
    1. Khan SS, Ning H, Wilkins JT, Allen N, Carnethon M, Berry JD, et al. Association of body mass index with lifetime risk of cardiovascular disease and compression of morbidity. JAMA Cardiol. 2018;3:280–7.
    1. Leening MJ, Ferket BS, Steyerberg EW, Kavousi M, Deckers JW, Nieboer D, et al. Sex differences in lifetime risk and first manifestation of cardiovascular disease: prospective population based cohort study. BMJ. 2014;349:g5992.
    1. Dunlay SM, Weston SA, Jacobsen SJ, Roger VL. Risk factors for heart failure: a population‐based case‐control study. Am J Med. 2009;122:1023–8.
    1. Kalogeropoulos A, Georgiopoulou V, Kritchevsky SB, Psaty BM, Smith NL, Newman AB, et al. Epidemiology of incident heart failure in a contemporary elderly cohort: the Health, Aging, and Body Composition study. Arch Intern Med. 2009;169:708–15.
    1. Clark D 3rd, Colantonio LD, Min YI, Hall ME, Zhao H, Mentz RJ, et al. Population‐attributable risk for cardiovascular disease associated with hypertension in black adults. JAMA Cardiol. 2019;4:1194–202.
    1. Chatterjee NA, Chae CU, Kim E, Moorthy MV, Conen D, Sandhu RK, et al. Modifiable risk factors for incident heart failure in atrial fibrillation. JACC Heart Fail. 2017;5:552–60.
    1. Tison GH, Chamberlain AM, Pletcher MJ, Dunlay SM, Weston SA, Killian JM, et al. Identifying heart failure using EMR‐based algorithms. Int J Med Inform. 2018;120:1–7.
    1. Ng K, Steinhubl SR, deFilippi C, Dey S, Stewart WF. Early detection of heart failure using electronic health records: practical implications for time before diagnosis, data diversity, data quantity and data density. Circ Cardiovasc Qual Outcomes. 2016;9:649–58.
    1. Koudstaal S, Pujades‐Rodriguez M, Denaxas S, Gho J, Shah AD, Yu N, et al. Prognostic burden of heart failure recorded in primary care, acute hospital admissions, or both: a population‐based linked electronic health record cohort study in 2.1 million people. Eur J Heart Fail. 2017;19:1119–27.
    1. Lagu T, Pekow PS, Stefan MS, Shieh MS, Pack QR, Kashef MA, et al. Derivation and validation of an in‐hospital mortality prediction model suitable for profiling hospital performance in heart failure. J Am Heart Assoc. 2018;7:e005256. References 31–139 are in ‘Supplemental References’ in online supplementary material.

Source: PubMed

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