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Sex-Specific Relations of Cardiovascular Risk Factors With Left Ventricular Diastolic Dysfunction/Heart Failure With Preserved Ejection Fraction Are Underreported: A Call for Action

2018· letter· en· W2789286048 on OpenAlexaboutno aff
Anouk L. M. Eikendal, Aisha Gohar, Frans H. Rutten, Michiel L. Bots, Yolande Appelman, Leonard Hofstra, Maarten J. Cramer, Arno W. Hoes, Hester M. den Ruijter

Bibliographic record

VenueJournal of Cardiac Failure · 2018
Typeletter
Languageen
FieldMedicine
TopicCardiovascular Function and Risk Factors
Canadian institutionsnot available
FundersHartstichtingZonMw
KeywordsMedicineEjection fractionHeart failureCardiologyInternal medicineDiastoleAsymptomaticHeart failure with preserved ejection fractionDiastolic heart failurePopulationBlood pressure

Abstract

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•Women are more prone than men to developing heart failure with preserved ejection fraction.•The difference in risk of heart failure with preserved ejection fraction between men and women may be due to sex differences in risk factors.•There is a scarcity of sex-specific research of the relation of cardiovascular risk factors with left ventricular diastolic dysfunction/heart failure with preserved ejection fraction in the general population.•Sex-stratified results should be provided, because they can be combined into one large individual participant database for meta-analyses. Left ventricular diastolic dysfunction (LVDD), considered to be a heart failure with preserved ejection fraction (HFpEF) precursor, encompasses asymptomatic cardiac abnormalities related to left ventricular (LV) stiffening and decline in LV relaxation.1Ponikowski P. Voors A.A. Anker S.D. Bueno H. Cleland J.G.F. Coats A.J.S. et al.2016 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure.Eur Heart J. 2016; 37: 2129-2200https://doi.org/10.1093/eurheartj/ehw128Crossref PubMed Scopus (8818) Google Scholar As these abnormalities have been shown to be at least partly reversible, aggressive management of risk factors for LVDD may possibly reduce cardiovascular disease (CVD) risk, including the progression to HFpEF.2Wan S.-H. Vogel M.W. Chen H.H. Pre-clinical diastolic dysfunction.J Am Coll Cardiol. 2014; 63: 407-416https://doi.org/10.1016/j.jacc.2013.10.063Crossref PubMed Scopus (230) Google Scholar Women appear to be more prone to developing HFpEF, whereas men more likely develop heart failure with midrange or reduced ejection fraction (HF[m]rEF). This is reflected in the prevalence of HFpEF, with women outnumbering men in a ratio of 2:1.3Scantlebury D.C. Borlaug B.A. Why are women more likely than men to develop heart failure with preserved ejection fraction?.Curr Opin Cardiol. 2011; 26: 562-568https://doi.org/10.1097/HCO.0b013e32834b7fafCrossref PubMed Scopus (164) Google Scholar It has been postulated that sex differences in genetic profile, cardiovascular (CV) ageing patterns, and susceptibility to CV risk factors and CVD may explain the dissimilarities in occurrence of the various HF phenotypes between the sexes.4Merz A.A. Cheng S. Sex differences in cardiovascular ageing.Heart. 2016; 102: 825-831https://doi.org/10.1136/heartjnl-2015-308769Crossref PubMed Scopus (141) Google Scholar In CVD, sex-specific determinants have been identified, eg, type 2 diabetes and smoking being stronger risk factors for stroke and coronary heart disease in women than in men.5Appelman Y. van Rijn B.B. Ten Haaf M.E. Boersma E. Peters S.A. Sex differences in cardiovascular risk factors and disease prevention.Atherosclerosis. 2015; 241: 211-218https://doi.org/10.1016/j.atherosclerosis.2015.01.027Abstract Full Text Full Text PDF PubMed Scopus (306) Google Scholar In addition, the Framingham study showed that different risk factors relate to HF progression differently and in a sex-specific manner.6Levy D. Larson M.G. Vasan R.S. Kannel W.B. Ho K.K.L. The progression from hypertension to congestive heart failure.J Am Med Assoc. 1996; 275: 1557-1562https://doi.org/10.1001/jama.275.20.1557Crossref PubMed Scopus (1714) Google Scholar However, for LVDD/HFpEF in particular, sex-specific data on their drivers are scarce and limited to small studies. Given that an established treatment regimen for HFpEF is lacking, improving our knowledge about how sex-specific issues could play a role is vital. In this context, we performed a systematic review on the sex-specific relation between CV risk factors and LVDD/HFpEF in the general population. We performed a systematic search of the English-language literature with the use of Medline and Embase. Inclusion criteria included cross-sectional or longitudinal design and asymptomatic individuals from the general population free from CVD at baseline who had ≥1 cardiovascular risk factor. Specific outcomes of interest were HFpEF, defined as normal/preserved EF (either >45% or >50%), plus clinical symptoms and signs (ie, shortness of breath, fatigue, pulmonary congestion, and/or peripheral edema) and objective evidence of diastolic dysfunction as measured with the use of echocardiography (including E/e' ratio, LV mass index, longitudinal strain, and left atrial volume index). Fields were also searched for terms related to sex or gender. Publications meeting the inclusion criteria were selected only if they contained sex-stratified results. The search process is displayed in Fig. 1. Four publications met the search criteria and provided sex-stratified information, all with LVDD as the outcome. In addition, 7 publications tested for sex interactions between CV risk factor and LVDD/HFpEF, none of which were significant. Full details of these 11 publications are listed in Supplemental Table 1. All studies scored well, showing little risk of bias, on an adapted Newcastle-Ottawa scale, with scores ranging from 5 to 6 out of a maximum possible total of 6. Our results illustrate the scarcity of sex-specific research of the relationship of CV risk factors to LVDD/HFpEF in the general population. Therefore, we are unable to provide sufficient evidence to support or reject a role of sex in the relation of CV risk factors and LVDD/HFpEF in the general population. These results concur with an earlier review concerning the reporting of sex in HF in the general population.7Gohar A. Schnabel R.B. Hughes M. Zeller T. Blankenberg S. Pasterkamp G. et al.Underrepresentation of sex in reporting traditional and emerging biomarkers for primary prevention of cardiovascular disease: a systematic review.Eur Hear J Qual Care Clin Outcomes. 2015; 2: 99-107Crossref Google Scholar The underlying LVDD seen in HFpEF may reflect proinflammatory comorbidities and risk factors that lead to inflammation of the microvascular endothelium and culminating in microvascular dysfunction.8Paulus W.J. Tschöpe C. A novel paradigm for heart failure with preserved ejection fraction: comorbidities drive myocardial dysfunction and remodeling through coronary microvascular endothelial inflammation.J Am Coll Cardiol. 2013; 62: 263-271https://doi.org/10.1016/j.jacc.2013.02.092Crossref PubMed Scopus (2043) Google Scholar Women with HFpEF are more likely to suffer from these risk factors than men.5Appelman Y. van Rijn B.B. Ten Haaf M.E. Boersma E. Peters S.A. Sex differences in cardiovascular risk factors and disease prevention.Atherosclerosis. 2015; 241: 211-218https://doi.org/10.1016/j.atherosclerosis.2015.01.027Abstract Full Text Full Text PDF PubMed Scopus (306) Google Scholar Therefore, sex stratification may improve our understanding of the sex-specific mechanisms underlying LVDD/HFpEF. We recognize that there may have been additional studies that also tested for sex interactions but did not mention possible nonsignificant results, thereby creating an undetected bias. However, even when a sex interaction is not significant, providing sex-stratified results may be of value because these studies (underpowered or not) still contain a wealth of valuable information that can be combined into an individual participant database meta-analysis.9Stewart L.A. Clarke M. Rovers M. Riley R.D. Simmonds M. Stewart G. et al.Preferred reporting items for a systematic review and meta-analysis of individual participant data.JAMA. 2015; 313: 1657https://doi.org/10.1001/jama.2015.3656Crossref PubMed Scopus (1097) Google Scholar Ultimately, this may aid in improving clinical care, such as early detection of HF and the development of new sex- and risk-stratified therapeutic strategies. Therefore, more interdisciplinary and shared research is warranted to fill in the gaps on the role of sex in all stages of LVDD and HFpEF. In summary, we highlight a need for sex-stratified research into risk factors for LVDD and the clinical syndrome of HFpEF. This study was funded by the Dutch Heart Foundation (2013T084, Queen of Hearts Program) and by ZonMw grant (849100003, Reviews en Kennissyntheses Gender en Gezondheid).

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.193
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.005
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.235
Teacher spread0.216 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations11
Published2018
Admission routes1
Has abstractyes

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