10-Year Risk Equations for Incident Heart Failure in the General Population

Khan, Sadiya S.; Ning, Hongyan; Shah, Sanjiv J.; Yancy, Clyde W.; Carnethon, Mercedes R.; Berry, Jarett D.; Mentz, Robert J.; O’Brien, Emily C.; Correa, Adolfo; Suthahar, Navin; Boer, Rudolf A. de; Wilkins, John T.; Lloyd‐Jones, Donald M.

doi:10.1016/j.jacc.2019.02.057

Cited by 137 publications

(152 citation statements)

References 52 publications

Supporting

Mentioning

150

Contrasting

Order By: Relevance

“…Sex-and race-specific 10-year PCP-HF risk scores were calculated via equations derived by Khan et al [8]. Individual coefficient values were calculated for each sex and race group using data on age, treated or untreated systolic blood pressure, smoking status, treated or untreated fasting glucose, total cholesterol, HDLcholesterol, body mass index, and QRS complex duration.…”

Section: Methodsmentioning

confidence: 99%

“…Coefficient values were summed to generate an individual coefficient value for each study participant. Both the individual coefficient values and mean coefficient values were then used to estimate the 10-year risk of a HF event through the following formal equation as previously described [8]: 1-S o e(individual coefficient valuemean coefficient value) . Further explanation of risk score components and calculations are provided in Supplemental Table 1.…”

Section: Methodsmentioning

confidence: 99%

“…In an effort to improve HF risk stratification and prevention, the Pooled Cohort equations to Prevent HF (PCP-HF) risk score was developed and validated in 2019 using combined individual-level data from five diverse population-based cohorts to estimate the 10-year risk for incident HF [8]. Though a variety of HF risk scores exist [9][10][11][12], the PCP-HF contains parameters that are easily obtained in a primary care setting, and was developed with information from younger adults as well black men and women, in contrast to current risk prediction tools.…”

Section: Introductionmentioning

confidence: 99%

“…Data from both observational studies [13] and randomized controlled trials [14] indicate that HF is a heterogeneous disease, and suggests that further effort must be directed more upstream on the causal disease pathway, prior to clinical HF manifestation. While the PCP-HF risk score has successfully been validated for HF risk prediction in black and white adults across cohort studies [8], it is not known whether the PCP-HF risk score predicts future CVD-and/or all-cause mortality. Likewise, differences in the estimated 10year risk for incident HF according to level of income, education, marital status, and living environment remain ill-defined.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Pooled cohort equations heart failure risk score predicts cardiovascular disease and all-cause mortality in a nationally representative sample of US adults

Razavi

Potts

Kelly

et al. 2020

BMC Cardiovasc Disord

View full text Add to dashboard Cite

Background: Heart failure (HF) represents an accumulated burden of systemic vascular damage and is the fastest growing form of cardiovascular disease (CVD). Due to increasing HF-attributable mortality rates, we sought to assess the association of the new 2019 Pooled Cohort equations to Prevent Heart Failure (PCP-HF) risk score with CVD and all-cause mortality. Methods: We linked data for 6333 black and white men and women aged 40-79 years, whom underwent electrocardiographic examination from the Third National Health and Nutrition Exam Survey, to National Death Index record matches. Sex-and race-specific PCP-HF risk scores were calculated using data on age, smoking, body mass index, systolic blood pressure, total cholesterol, HDL-cholesterol, fasting blood glucose, QRS complex duration, and antihypertensive and/or glucose-lowering medications. Cox regression estimated hazard ratios for the association of the PCP-HF risk score with CVD and all-cause mortality. Results: Individuals were on average 54.9 years old (51.7% women, 25.4% black) and the median 10-year HF risk was 1.6% (Q1 = 0.5, Q3 = 4.8). There were 3178 deaths, 1116 from CVD, over a median follow-up time of 22.3 years. Black women had a higher 10-year HF risk compared to white women (2.1% vs. 1.1%; p < 0.01), while no significant difference was observed in predicted HF risk between black men and white men (2.3% vs. 2.1%, p = 0.16). A twofold higher PCP-HF risk score was associated with a significant 58% (HR = 1.58; 95% CI, 1.48-1.70; p < 0.0001) and 38% (HR = 1.38; 95% CI, 1.32-1.46; p < 0.0001) greater risk of CVD and all-cause mortality, respectively.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Pooled cohort equations heart failure risk score predicts cardiovascular disease and all-cause mortality in a nationally representative sample of US adults

Razavi

Potts

Kelly

et al. 2020

BMC Cardiovasc Disord

View full text Add to dashboard Cite

show abstract

“…Even better than treating heart failure is simply to prevent it from happening, but our knowledge concerning risk factors and precipitants is limited. We have published extensively on this topic, teaming up with colleagues in the EU and the USA …”

Section: Our Questions To Rudolfmentioning

confidence: 99%

Figures of the Heart Failure Association (HFA): Dr. Rudolf de Boer, HFA Board Member (2014–2020), Chair of the Basic Science Section (2016–2018), coordinator of the Study Group on Heart Failure with Preserved Ejection Fraction, and member of the HFA study groups of Translational Research and Cardio‐oncology

Coats

2020

European J of Heart Fail

View full text Add to dashboard Cite

Rudolf de Boer (Gouda, 1972) is member of the Board of the HFA of the European Society of Cardiology (ESC) since 2014. Rudolf has helped to drive activities within the HFA and in the ESC. He considers himself a translational researcher, with interest in basic aspects of disease. But first and for all, Rudolf is a physician caring for patients with heart failure. Rudolf's backgroundRudolf is a professor of Translational Cardiology at the University of Groningen, the Netherlands, and since 2013 Director of the Division of Experimental Cardiology. He studied Medicine at the University of Groningen. After his studies he spent a year in the Artificial Research Laboratory at the University of Utah. Dr. Willem Kolff, a pioneer in artificial organs and the inventor of haemodialysis 1 moved to the USA in the early '50s, but always welcomed students from his Alma Mater, and that is how Rudolf ended up there as an undergraduate student. It was his first encounter with biomedical science and it immediately became clear he wished to endeavour a scientific career. He moved back to Holland and did his PhD in the field of heart failure and angiogenesis. After training as Clinical Fellow at the University of Groningen, he became Consultant and Lecturer in Cardiology, and was Associate Professor in the Department of Cardiology from 2008 to 2010, promoted to Associate and finally to Full Professor in 2013.Professor de Boer is Fellow of the ESC and of the HFA. He has been chair of the Dutch Working Group of Heart Failure (2013. Rudolf has longstanding experience in working with the Dutch Heart Foundation, having received several grants, and having contributed as a reviewer to several programmes. Furthermore, de Boer has been recipient of grants of the Innovational Research Incentives Scheme programme of the Netherlands Organization for Scientific Research.

show abstract

Association of Subclinical Heart Maladaptation With the Pooled Cohort Equations to Prevent Heart Failure Risk Score for Incident Heart Failure

2021

View full text Add to dashboard Cite

IMPORTANCEThe Pooled Cohort Equations to Prevent Heart Failure (PCP-HF) estimate the 10-year risk for symptomatic heart failure (HF) from routine clinical data. The PCP-HF score should detect asymptomatic individuals with cardiac maladaptation preceding HF symptoms for it to be a useful HF prediction tool in primary prevention.OBJECTIVE To assess the concordance between PCP-HF risk scoring and the presence of subclinical cardiac maladaptation in the community. DESIGN, SETTING, AND PARTICIPANTSThis cross-sectional analysis included participants enrolled in the Flemish Study on Environment, Genes and Health Outcomes who underwent a clinical examination including echocardiography between May 2005 and January 2015. Participants younger than 30 years, older than 79 years, had prevalent cardiovascular disease, and/or had suboptimal echocardiographic imaging quality were excluded. Analysis began February 2020 and ended April 2020.EXPOSURES Ten-year HF risk as calculated from routine clinical data using the PCP-HF. Based on tertile limits, participants were categorized as having low (Յ0.4%), intermediate (0.4%-2.4%), and high (Ն2.4%) 10-year HF risk score. MAIN OUTCOMES AND MEASURES Echocardiographic profiles of subclinical heart remodeling and dysfunction.RESULTS A total of 1020 individuals were analyzed (mean [SD] age, 52.8 [11.4] years; 541 female [53.0%]). The prevalence of left ventricular (LV) remodeling and dysfunction was significantly higher from low to intermediate and high 10-year HF risk score. A doubling in 10-year HF risk score was associated with higher odds for LV concentric remodeling (odds ratio [

show abstract

10-Year Risk Equations for Incident Heart Failure in the General Population

Cited by 137 publications

References 52 publications

Pooled cohort equations heart failure risk score predicts cardiovascular disease and all-cause mortality in a nationally representative sample of US adults

Pooled cohort equations heart failure risk score predicts cardiovascular disease and all-cause mortality in a nationally representative sample of US adults

Association of Subclinical Heart Maladaptation With the Pooled Cohort Equations to Prevent Heart Failure Risk Score for Incident Heart Failure

Contact Info

Product

Resources

About