Background
Sex and gender
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Although the words gender and sex are often used interchangeably, they have different meanings. Sex refers to biological differences between males and females, for example in reproductive organs and sex hormones, which result in a different physiology and anatomy of the body. Gender refers to a social construct of how men and women, and other gender identities, behave within a certain social or cultural context that relates much to expectations and norms in behavior and attitudes [1]. Both sex and gender are important in clinical research and patient care, however, through different mechanisms [2]. In this review, we will focus on sex and do not specifically discuss the role of gender, although we acknowledge that the two are intimately connected and sex cannot be regarded without recognizing gender. |
Diastolic dysfunction of the heart
Parameter | Cut-off 2016 [3] | Cut-off 2009 [15]* | Sex -differences |
---|---|---|---|
Average E/e′ ratio | > 14 | - | ± 1 point higher in women [11] |
Septal or lateral e′ velocity | < 7 cm/s or < 10 cm/s | < 8 cm/s or < 10 cm/s | no significant differences |
TR velocity | > 280 cm/s | - | no significant differences |
LAVI | > 34 mL/m2 | > 34 mL/m2 | ± 2 mL/m2 point higher in men [26] |
< 50% positive: normal diastolic function 50% positive: indeterminate diastolic function > 50% positive: diastolic dysfunction |
Heart failure with preserved ejection fraction (HFpEF)
Misdiagnosis and underdiagnosis of HFpEF
The role of exercise testing in HFpEF diagnosis
The role of plasma biomarkers in HFpEF diagnosis
Epidemiology of heart failure in women and men
Main
Lack of knowledge on sex-specific risk factors for the progression of diastolic dysfunction towards HFpEF
First author, year, cohort name (reference number) | Population under investigation | Number of individuals (% women) | Mean age in years | Follow-up in years | Percentage of individuals that developed heart failure (stage C/D) | Determinants of progression towards heart failure | Distinction between HFpEF and HFrEF | Sex-stratified analyses | Sex included in multivariable model. If included: independent predictor? |
---|---|---|---|---|---|---|---|---|---|
Ren, 2007, Heart and Soul study [85] | Stable CAD | 639 (19%) | 67 | 3 | 7% in those with mild diastolic dysfunction 11% in those with moderate-severe LVDD | Not investigated | No | Not performed | Yes, independence not reported |
From, 2010, Olmsted County [82] | Diabetes mellitus | 1760 (51%) | 60 | 5 | 17% in those with diabetes 37% in those with diastolic dysfunction and diabetes | Not investigated | No | Not performed | Yes, not independent |
Correa de Sa, 2010 [81] | Moderate or severe LVDD | 82 (55%) | 69 | 2 | In those with moderate or severe LVDD 1.9% developed HF according to Framingham criteria and 31% developed signs or symptoms suggestive of HF (not explained by other conditions) | Peripheral vascular disease, hypertension | No | Not performed | No |
Kane, 2011, Olmsted County [78] | General | 1402 (51%) | 61 | 6.3 | 7.8% in those mild diastolic dysfunction 12.2% in those with moderate-severe LVDD | Age, hypertension, diabetes, CAD, E/e′ ratio and LAVI | No | Not performed | No |
Lam 2011, Framingham Heart Study [8] | General | 1038 (61%) | 76 | 11 | 23.8% of the population developed HF (~ 40% = HFpEF) | Renal impairment, airflow limitation and anemia | Yes | Not performed | Yes, independence not reported |
Vogel, 2012, Olmsted County [79] | General | 388 (57%) | 67 | 3 | 11.6% in those with grade II to IV LVDD | Age, right ventricular systolic pressure, GFR < 60 mL/min per 1.73 m2 | No | Not performed | No |
Kuznetsova, 2014, FLEMENGHO [86] | General | 793 (51.5%) | 51 | 4.8 | Incidence of cardiac event (including HF): 1.8% in normal LV diastolic function group 9.2% in impaired relaxation group 18.6% in elevated filling pressure | e′ tissue doppler velocity | No | Not performed | Yes, independence not reported |
Yang, 2016 [80] | At risk for HF | 428 (52%) | 70 | 1.2 | 12.4% developed HF symptoms or died | Age, Charlson comorbidity score, GLS, LA enlargement | No | Not performed | Yes, not independent |
Shah, 2017, ARIC [87] | General population (also including HF patients) | 6118 (58%) | 75.3 | 1.8 | 0.8% in group with stage A HF 3.4% in group with stage B HF | Structural abnormalities, systolic dysfunction, diastolic dysfunction | No | Not performed, sex and age specific echocardiography cut-offs were used | Yes, independence not reported |
Pugliese, 2020 [83] | General population (also including HF patients) | 304 (35%) | 66 | 1.5 | Incidence of HF hospitalization: 4.4% in group with stage A HF 15% in group with stage B HF | Resting NT- proBNP > 900 pg/mL, peak VO2 < 16 mL/kg/min, VE/VCO2 slope ≥ 36, peak PAPs ≥ 50 mmHg, and Δ B-lines > 10 | No | Not performed | No, not independent |
Bobenko, 2020, DIAST-CHF [88] | At risk for HF | 851 (44%) | 66 | 10 | Signs or symptoms of HF: 54% in those without elevated filling pressures and 65% in those with elevated filling pressures | Not investigated | No | Not performed | Yes, independence not reported |
Sex differences in risk factors for HF(pEF)
Age
Hypertension
Diabetes
Obesity
Smoking
Ischemic heart disease
Risk factors for HFpEF common in women
General risk factors for HFpEF | |
Age | |
Hypertension | |
Diabetes | Two times stronger risk factor in women compared to men [22] |
Overweight | |
Smoking | |
Ischemic heart disease | Previous PCI and CABG are associated with HFpEF hospitalization in men [90] |
Risk factors for HFpEF common in women | |
Auto-immune disease | |
Pregnancy number | |
Pregnancy complications | |
Menopause | |
Mental health problems | Antidepressant use is associated with CV-mortality [98]. Research on HFpEF risk urgently needed |
Migraine | Predisposes to ischemic heart disease, stroke and AF, but not to HF [99] |