Sex-Specific Relations of Cardiovascular Risk Factors With Left Ventricular Diastolic Dysfunction/Heart Failure With Preserved Ejection Fraction Are Underreported: A Call for Action
Notice bibliographique
Résumé
•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).
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,005 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».