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Clinical Kidney Journal logoLink to Clinical Kidney Journal
. 2024 Feb 21;17(3):sfae044. doi: 10.1093/ckj/sfae044

Sex disparities in mortality and cardiovascular outcomes in chronic kidney disease

Olga Balafa 1,, Beatriz Fernandez-Fernandez 2, Alberto Ortiz 3, Evangelia Dounousi 4, Robert Ekart 5, Charles J Ferro 6, Patrick B Mark 7, Jose M Valdivielso 8, Lucia Del Vecchio 9, Francesca Mallamaci 10, for the European Renal and Cardiovascular Medicine Working (EURECA-m) Group of the European Renal Association (ERA)
PMCID: PMC11024840  PMID: 38638550

ABSTRACT

Sex (biologically determined) and gender (socially constructed) modulate manifestations and prognosis of a vast number of diseases, including cardiovascular disease (CVD) and chronic kidney disease (CKD). CVD remains the leading cause of death in CKD patients. Population-based studies indicate that women present a higher prevalence of CKD and experience less CVD than men in all CKD stages, although this is not as clear in patients on dialysis or transplantation. When compared to the general population of the same sex, CKD has a more negative impact on women on kidney replacement therapy. European women on dialysis or recipients of kidney transplants have life expectancy up to 44.8 and 19.8 years lower, respectively, than their counterparts of similar age in the general population. For men, these figures stand at 37.1 and 16.5 years, representing a 21% to 20% difference, respectively. Hormonal, genetic, societal, and cultural influences may contribute to these sex-based disparities. To gain a more comprehensive understanding of these

differences and their implications for patient care, well-designed clinical trials that involve a larger representation of women and focus on sex-related variables are urgently needed. This narrative review emphasizes the importance of acknowledging the epidemiology and prognosis of sex disparities in CVD among CKD patients. Such insights can guide research into the underlying pathophysiological mechanisms, leading to optimized treatment strategies and ultimately, improved clinical outcomes.

Keywords: cardiovascular disease, chronic kidney disease, gender, mortality, sex

INTRODUCTION

There is a growing interest in studying sex disparities in various research fields, including medicine and health [1]. Before delving into further detail, the difference between sex and gender must be highlighted. The terms sex and gender are often used interchangeably in both the lay and medical literature. However, whereas sex refers to a set of biological attributes associated with physical and physiological features, gender refers to the social constructed roles, behaviours, expressions, relationships, and identities of men and women [2].

While medical research has historically focused mainly on male subjects, there is now recognition that women may respond differently to certain treatments or interventions. Cardiologists have a wide number of studies focused on sex disparities in cardiovascular diseases (CVD) [3], whereas other specialties, such as nephrology, have explored sex differences to a lesser extent. Nevertheless, evidence suggests that the progression of chronic kidney disease (CKD) is influenced by sex [4], and a crucial concern is the under-representation of women in clinical trials, despite constituting more than half of the world's population and CKD being a more common global cause of years of life-lost (YLL) in women than in men [5] (Fig. 1).

Figure 1:

Figure 1:

Ranking of chronic kidney disease as a global cause of years of life lost (YLL) among GBD cause hierarchy level 3 causes in men (A) and in women (B) in 2007 and 2017, according to Socio-Demographic Index (SDI) and [5]. The figure representing a ranking, a lower numerical value reflects a larger negative impact of CKD on YLL. From 2007 to 2017, the mean ranking position changed from 18.5 to 15.75 in men and from 15 to 12.75 in women, i.e. the contribution of CKD to global YLLs is increasing.

CKD is a global health challenge [6] ranking as the ninth top cause of female deaths in the USA but not among the top ten leading causes of death in men [7]. Despite the higher prevalence of CKD in women [8], its progression is faster in men [9]. Men also undergo kidney replacement therapy (KRT)—dialysis or renal transplantation—more often than women [10, 11]. Although the identification, monitoring, and management of most people with CKD happens in primary care, evidence of differences by sex primarily stems from the minority of patients referred to nephrology specialist units. Notably, despite women being more frequent kidney donors, they have on a global scale a lower probability of receiving kidney transplants [12]. Consequently, investigating sex disparities in CKD patients is both an academic endeavour and an ethical and societal imperative. This review emphasizes the need to prioritize research into sex disparities in the epidemiology and prognosis of CVD among CKD patients, aiming to improve therapy and outcomes.

SEX DISPARITIES IN THE INCIDENCE AND PROGRESSION OF CKD

Over the years, epidemiological data have consistently reported a higher prevalence of CKD in females than in males [4, 13]. In this respect, the Global Burden of Disease (GBD) study showed a higher percentage of females having CKD worldwide, independently of the socio-demographic index (SDI) of the geographic area [14] (Fig. 2). This was also true when considering the age-standardized prevalence of CKD (1.29 times higher in females) [15]. Another example comes from the National Health and Nutrition Examination Survey (NHANES) in the United States. Data from 7137 subjects in the 1999–2014 population showed that females represented 56–59% of individuals having CKD across all CKD stages [16]. The percentage was even higher when considering only subjects over 65 years old [17].

Figure 2:

Figure 2:

Prevalence of adult population (female and male) with CKD. (A) Prevalence % of USA population with CKD stages G3, 4 and 5 in time period 2017 to March 2020. (B) Age-standardized prevalence % of population with CKD stages 3–5 in high and low/middle-income countries (data from [13] and [15]).

Conversely, epidemiological data show higher prevalence of the male sex among those receiving KRT. According to the GBD, the global age-standardized incidence of dialysis and transplantation is 1.47 times greater among males than among females [14]. Similar observations are available from registry data [13, 18].

Several reasons have been proposed to explain this discrepancy. First, considering that formulae for glomerular filtration rate (GFR) estimation contain serum creatinine, they could perform differently in the two sexes and over-diagnose CKD in females. This methodological aspect has been partially improved by using the CKD-EPI formula [19]. Moreover, females have a longer life expectancy and thus more time to develop CKD compared to males. Conversely, especially in low-income countries, women may have reduced access to expensive treatments such as dialysis and thus receive conservative care more often [20].

Apart from these epidemiological considerations, various observations indicate that GFR declines faster in males than in females, at least in unadjusted analyses and in middle-aged and elderly healthy individuals [21, 22]. The effect seems to be partially attributed to sex hormones [23] and rather related to a lower prevalence and severity of CVD risk factors. In this regard, the phenotype of diabetic kidney disease differs according to gender, with men more likely to develop A2 or A3 albuminuria [24] and the risk of developing CKD is higher for males at similar blood pressure categories [25]. Different severity and disease characteristics have also been described for primary and systemic glomerulonephritis [26] and for the cardiorenal syndrome [27]. Finally, the phenotype of CKD itself differs in the two sexes; women have been described to have higher serum calcium, phosphorous, and Fibroblast Growth Factor-23 levels than men and possibly a milder anaemia when considering the sex-specific normality ranges [21].

SEX DISPARITIES IN MORTALITY IN MEN AND WOMEN WITH CKD

In the general population, female life expectancy is longer than male life expectancy and the risk of cardiovascular (CV) events is higher in men than women [28], potentially due to sex hormones [29]. In CKD, the production of sex hormones is altered [30] which may contribute to a lesser protective effect of the female sex on CV events. Most observational studies in CKD cohorts present a higher prevalence of CVD morbidity and mortality in men compared to women.

However, when comparing mortality in women with CKD to same-age women in the general population and mortality of men with CKD to men in the general population, the CVD burden is higher in women. Dialysis and transplantation registries (like The European Renal Association Registry) can provide such data. While the 2- and 5-year survival rates are higher for European women on KRT than for men on KRT (Fig. 3A), the negative impact of CKD is larger for women with kidney failure compared to the general population of the same sex. The life expectancy of European women on dialysis or kidney transplant recipients is up to 44.8 and 19.8 years less, respectively, than that for same-age women in the general population (Fig. 3B). Men on dialysis or transplantation live 37.1 and 16.5 years less, respectively, compared with men in the general population (Fig. 3C), representing a 21% to 20% difference [18].

Figure 3:

Figure 3:

Survival among men and women on kidney replacement therapy (KRT) in Europe according to the ERA registry 2020 report (Ref 18). (A) Two and 5-year survival is higher for women on KRT than for men on KRT and the difference is more notable on dialysis. (B-C) However, women on KRT have a lower life-expectancy compared to the general female population (B) than men compared to the male general population (C). For the group with the largest absolute loss of life expectancy (those aged 20 to 24 years), the percentual difference in loss of life expectancy between women and men on KRT was 20% and similar for dialysis and transplantation. The number on the age axis refers to the first year of a five-year interval.

CVD outcomes in men and women are discussed in detail separately for non-dialysis CKD patients, patients on dialysis, and kidney transplant recipients.

CKD population not on dialysis

Few studies introduce sex as a potential confounding factor in prognostic models of CV events in CKD and the odds or hazard ratios (HR) assigned to the sex variable in those studies should not be interpreted as definitive due to potential bias.

In 2013, Hui et al. [31] investigated whether age, sex, and race influenced the relationship between eGFR, albuminuria, and CV events in a community-based cohort study with over 11 000 individuals and a follow-up exceeding 11 years. They concluded that CV risk significantly increased with eGFR <70 ml/min/1.73 m2, and there was no difference in risk between men and women, although the sample was small and confidence intervals wide. However, high levels of albuminuria had a greater impact on CV risk in women compared to men (1.3- to 1.8-fold higher HR for women at a given albuminuria above 30 mg/g). Furthermore, high albuminuria was significantly associated with CVD only in women.

A meta-analysis conducted in the same year, involving over 2 million participants from general population and CKD cohorts, demonstrated that men had a higher risk of CV mortality than women across all levels of kidney function, although the confidence intervals overlapped for eGFR below 50 ml/min/1.73 m2, [32]. Incidentally, the increase in risk with respect to normal eGFR and albuminuria was steeper in women than in men (meaning that although the absolute risk is lower in women, the influence of reduced eGFR and albuminuria is higher).

In 2021, three separate studies from Sweden, Korea, and the USA in CKD populations provided further evidence that men with CKD were more likely to experience CV events than women. Τhe Chronic Renal Insufficiency Cohort (CRIC) study [33] analysed almost 3000 CKD participants followed for nearly 10 years and demonstrated that the adjusted hazard ratios for atherosclerotic events, heart failure, and cardiovascular death were all higher in men than in women. Α Swedish cohort of over 35 000 CKD patients followed for 10 years [34] also found similar results, with men showing a higher cumulative incidence of cardiovascular death. Α smaller cohort of 1780 CKD patients similarly demonstrated that men had a higher likelihood of experiencing adverse cardiovascular events and death compared to women [35].

Recent European and Japanese studies further support these findings. A Japanese study [36] with 5000 patients followed for 10 years observed a higher risk of myocardial infarction in men than in women with CKD. In a pooled analysis of four Italian cohorts of patients with CKD, the risk of CV events was higher in men, although this difference disappeared when systolic blood pressure was over 140 mmHg [37]. Provenzano et al. [38] confirmed that male sex was strongly related to the incidence rate of fatal and non-fatal major CV events [HR 1.75, 95% CI 1.18–2.60] in patients with CKD. Finally in a European cohort of G4-G5 CKD patients, not on dialysis and over 65 years old, women had a 18% lower crude risk of first MACE compared to men (HR 0.82, 95% CI 0.69–0.97, = 0.02), but this advantage was lost for women >75 years old and women with diabetes [39] (Table 1).

Table 1:

Studies comparing CVD outcomes in women and men in non-dialysis CKD populations.

Author, Ref number Year, type of study, country Number of patients Follow-up (years) CVD outcome definition CVD outcomes women vs men All-cause mortality women vs men
Toth-Manikowski S [33] 2021, prospective, longitudinal cohort study (CRIC)-USA 3939 9.6 1) composite outcome (MI, stroke, or peripheral artery disease); 2) incident HF; 3) cardiovascular death Composite outcome IR (/1000person-years) 19 vs 27; HR 0.73 (95% CI: 0.60–0.89)
HF IR (/1000person-years) 24 vs 27; HR 0.79 (95% CI:0.65–0.95)
Cardiovascular death IR (/1000person-years) 10 vs 15; HR 0.60 (95% CI: 0.46–0.77)
IR (/1000 person-years) 29 vs 39;
HR 0.58 95%CI: 0.49–0.69)
Swartling O [34] 2021, observational cohort study, Sweden 35 000 10 cardiovascular
mortality
HR 0.83 [95% CI, 0.76–0.90] IR (/1000 person-years) 92 vs 106; adjusted HR 0.90 (95% CI 0.85–0.94)
Shiraishi YA [36] 2023, cohort study, Japan 5163 10 stroke, MI, and SD Stroke CI (/100 000 person-years) 239 vs 515; HR 0.87 (0.48–1.51) vs 1.01 (0.56–1.86)
MI CI (/100 000 person-years) 28 vs 252; HR 2.09 (0.29-15 vs 3.55 (1.25–10.06)
SD CI (/100 000 person-years) 43 vs 62.5; HR 2.15 (0.41–11.3 vs 0.85 (0.17–4.25)
NA
Borrelli S [37] 2023, pooled analysis of 4 cohorts, Italy NA 4 composite CV end point (cardiovascular death and non-fatal MI, congestive HF, stroke, revascularization, peripheral vascular disease, non-traumatic amputation) HR 0.73 (95% CI 0.60–0.89) NA
Provenzano PF [38] 2023, cohort, south of Italy 759 3 fatal and non-fatal CV events (MI, HF, arrhythmia; stroke; peripheral vascular disease; major arterial or venous thrombotic episodes) HR (male vs female) 1.78, (95% CI 1.03–3.09) HR (male vs female) 0.65, (95% CI 0.34–1.25)
Astley ME [39] 2023, prospective, cohort study, Europe (EQUAL study) 1736 3.8 1) MACE (comorbidity or hospitalization due to cerebrovascular disease, MI, peripheral vascular disease, congestive HF, arrythmias, CHD, angina pectoris); 2) death due to MI, HF, cardiac arrest, cerebrovascular accident First MACE IR (/1000 person-years) 23 vs 27; unadjusted HR 0.82 (0.69–0.97, P = 0.02)
Fatal MACE IR (/1000 person-years) 3 vs 4; unadjusted 0.84 (0.61–1.16, P = 0.30)
NA

CHD, coronary heart disease; MI, myocardial infarction; SD, sudden death; HF, heart failure; IR, incidence rate; CI, crude incidence; HR, hazard ratio; MACE, major acute CV events; NA, not available.

Dialysis patients

Women on dialysis seem to have lost most of the survival advantage over men in dialysis in most observational studies. But as indicated above, mortality is higher in women on dialysis compared to women in the general population, than when the same comparison is done for men [18].

Among 35 964 participants from 12 countries in Dialysis Outcomes and Practice Patterns Study (DOPPS), mortality was similar in men and women on dialysis in all age groups in all DOPPS countries, except Japan, while in the general population male-to-female mortality rate ratios varied from 1.5 to 2.6. Certain haemodialysis characteristics showed a significant sex interaction with mortality: hemodialysis catheter use displayed the largest difference in mortality risk between men (HR = 1.11 in comparison to no catheter use) and women (HR = 1.33 in comparison to no catheter use), interaction P = 0.001 [40]. In the Australian and New Zealand Dialysis and Transplant Registry (ANZDATA), excess all-cause mortality was 7% higher in women on haemodialysis than in men (adjusted excess mortality ratio 1.07, 1.04 –1.10, < 0.001) while in peritoneal dialysis the sex difference in excess mortality varied by age: female patients aged 30–49 years had 15% lower excess mortality than males (0.85, 0.76–0.95, = 0.004) while female aged ≥75 years had 24% excess mortality (1.24, 1.11–1.38, < 0.001) compared with male patients. Although the proportion of CV deaths was higher in male than in female patients (4.7% higher, 3.9%–5.6%, < 0.001), cardiovascular mortality was higher in women on dialysis compared to women in the general population than when the same comparison was done for men (standardised mortality ratio 8.7 (8.4–9.0), and 5.7 (5.6–5.9) for females and males, respectively) [41], a remark in agreement with European Registry data [18].

In a Japanese study [42], women on dialysis had a lower risk of all-cause death than men (19.9% vs 28.6%, < 0.001 and HR: 0.70, 95% CI 0.54–0.90), with no differences in CV death (8.6 vs 10.9%, = 0.177). In patients without CVD, female sex was a strong independent protective risk factor for all-cause mortality (HR 0.46, 95% CI: 0.30–0.70) while this advantage was lost for patients with CVD (HR 0.92, 95% CI: 0.67–1.24). In another study, women in dialysis had higher adjusted rates for the composite outcome of CV hospitalization or all-cause death overall than men (HR 2.5; 95%CI 1.1–5.6; = 0.03) [43].

In a large cohort of 108 963 Europeans on dialysis during a 5-year follow-up, young women (under 45 years of age) had higher non-cardiovascular mortality risk than men, mainly due to infections, which is opposite to trends observed in the general population. In other age categories (>45 years), women had lower CV mortality [44]. In all age categories, diabetic women had an increased risk of all-cause death compared with men, an effect mainly attributed to non-cardiovascular deaths.

In a systematic review and meta-analysis of 23 studies examining 86 915 patients on haemodialysis, sex (women versus men) did not significantly affect all-cause mortality but did have a negative effect on cardiac death (RR: 1.41; 95% CI: 1.11–1.80; = 0.005) [45]. In a recent meta-analysis including 48 studies with 99 822 participants (51 069 men, 48 753 women) and combining reported and calculated risk estimates, males had higher cardiovascular mortality among CKD patients than women (risk estimate 1.13, 95%CI 1.03–1.25) [46].

Kidney transplant recipients

Epidemiological information on CVD in kidney transplant recipients (KTRs) has relied mainly on registry databases and retrospective studies, whereas only recently prospective studies have been added [47–50]. Although CV risk is reduced following kidney transplantation compared with dialysis, the incidence of CVD in KTRs is three to five times higher than in the general population [47, 48] and CVD remains the principal cause of death, accounting for 20–35% of overall mortality [50–52].

Available data suggest gender disparities in transplant access with men in the USA having greater access to transplantation whereas differences regarding transplant outcomes remain inconclusive [12]. There is scarce evidence on gender differences with respect to CV events and outcomes in KTRs. Previous studies identified male sex as an independent variable for CV events prediction in KTRs [53, 54]. Among 30 325 KTRs in England, men had a 20% higher risk than women for non-fatal MACE defined as any hospital admission with myocardial infarction, stroke, unstable angina, heart failure, any coronary revascularization procedure within 12 months of transplant surgery [55]. However, among 16 329 KTRs in the Australian and New Zealand registry, the standardized mortality rates were higher among transplanted women across all age groups than among men compared with the general population, despite male sex being an independent risk factor for cardiac death posttransplant [56]. Likewise, results from a meta-analysis across three transplant registries showed higher excess all-cause mortality risks in female than male KTRs compared to the same sex in the general population at all ages, except 45 to 59 years [57]. However, sex differences in excess mortality were statistically significant only when the donor was male [57].

Finally, only 33.7% of participants in 24 KTR trials were women, suggesting underrepresentation of women in kidney transplantation trials, including ones examining cardiometabolic risk [58]. A more balanced representation of women in these trials will contribute to further exploring and understanding of gender disparities in posttransplant care.

RISK FACTORS FOR CVD IN MEN AND WOMEN WITH CKD

Men and women share traditional CV risk factors (hypertension, hyperlipidaemia, diabetes, smoking), but their prevalence and impact on CVD vary by sex [59]. Prevalence of hypertension is higher among men compared to women with a steeper increase in menopausal females [60]. This could be attributed to the impact of oestrogens on renin angiotensin system and immune cell activation, endothelin and sympathetic nervous system function and antihypertensive pharmacokinetics [61–63].

Office blood pressure (BP) levels in the CKD population show no consistent gender differences and seem not to modify CKD progression [21, 64, 65]. However, in a Chinese study, men were more sensitive to hypertension-associated GFR decline [66], while African-American men with early CKD had poorer hypertension control than women [67]. On the other hand, ambulatory BP assessments disclose the high prevalence of ‘white coat’ and ‘masked’ hypertension in CKD populations [68], and demonstrate stronger associations with CKD progression, CVD morbidity and mortality (particularly nighttime BP or short-term BP variability) compared with office BP [69, 70]. Sex differences do exist in ambulatory BP measurements in dialysis and transplantation patients [71, 72]; men with CKD (stages 2–5) have higher daytime and nighttime systolic BP than women, which may be the key contributor to male higher risk of adverse outcomes [73].

Women with CKD seem to have less likely metabolic syndrome and diabetes [74], while female patients with diabetic kidney disease present milder albuminuria and a better response to therapy than men [75]. Smoking and diabetes increase more the CVD risk in women compared to men in the general population [76, 77], and a similar pattern is seen in the CKD population [78, 79], while data about the impact of sex on kidney outcomes in diabetes are contradictory [80, 81]. Pre-eclampsia and hypertension during pregnancy are important risk factors for CKD incidence and increased long-term CVD risk for both the mothers and their offspring [82–84].

Non-traditional CVD risk factors in CKD like vascular calcification and inflammation [59] may have different sex phenotypes too. Women seem to present higher levels of platelet aggregation and lower response to aspirin [85], while pulse pressure and arterial stiffness increase more with aging in women than in men [86, 87]. Systemic inflammation in CKD is common [88] and increased serum inflammatory biomarkers like C-reactive protein (CRP), inter-leukin-6 (IL-6) and tumour necrosis factor (TNF) are associated with CVD and all-cause mortality [89]. We do not have direct data about sex differences in systemic inflammation. However, women have higher autoimmunity risk as exemplified by the higher incidence of systemic lupus erythematosus and rheumatoid arthritis [74, 82]. Among dialysis patients, coronary artery calcification had a sex-specific signature, as females were more often inflamed (higher IL-6 and TNF levels) than men [90]. Finally, sex differences in CVD risk factors do influence outcomes as adjustment for traditional CV risk factors and CRP in observational studies in non-dialysis CKD populations, reduced the sex risk difference for heart failure, death [33], or MACE [39].

POTENTIAL REASONS FOR SEX DISPARITIES

Biological and non-biological factors may contribute to sex disparities in CVD among patients with CKD.

Biological factors

Genetic and metabolic differences between males and females may account for different disease susceptibility and response to therapy [91] (Table 2). Males and females differ genetically as male cells have a Y chromosome and a single X chromosome, while each female cell expresses one of two available X chromosomes. As a result, urogenital development differs, different gonads and sex hormones are generated, and different embryonic structures disappear or evolve. During adult life, the hormonal environment also differs (androgens predominate in males and oestrogens in females) and physiological changes may create further differences: iron deficiency is more common in females, pregnancy leads to transient hormonal and kidney function changes and to exposure of foreign antigens that may sensitize to future kidney grafts, and menopause leads to a relatively abrupt loss of oestrogens. These biological differences result in physiological differences between males and females: autoimmunity (e.g. lupus nephritis) and urinary tract infection are more common in women, while X-linked genetic diseases are generally more severe in males and sex is a genetic modifier of the pharmacological response to drugs [62].

Table 2:

Main biological differences between males and females that may modify susceptibility to kidney and cardiovascular disease.

Primary drivers of biological differences
 ○ Sex-specific gene expression: X and Y chromosomes and genetic imprinting of autosomes
 ○ Sex hormone-dependent changes
  ▪ Androgen surge during development
   • Permanent differences in organ and tissue structure
   • Epigenetic regulation of gene expression
  ▪ Persistent sex hormone differences from puberty and throughout life, female menopause
Biological differences secondary to primary drivers
 ○ Impact of menses: iron deficiency
 ○ Impact of pregnancy: large, reversible changes in kidney function, potential sensitization to foreign antigens
 ○ Impact of gender differences in behaviour and lifestyles on biological variables
 ○ Different energy metabolism
 ○ Different disease susceptibility, e.g. in women
  ▪ Increased susceptibility to autoimmunity (e.g. lupus nephritis) and urinary tract infection
  ▪ Increased susceptibility to heart failure with preserved ejection fraction
 ○ Different response to therapeutic interventions
 ○ Different resilience to specific forms of cell death (e.g. ferroptosis)
 ○ Different interaction with the gut microbiota

Both primary drivers of biological differences and some examples of biological consequence of these primary drivers are shown. Molecular mechanisms have been well characterized in mice, but the clinical relevance of many of the findings remains unclear. Conversely, the molecular basis of some epidemiological differences observed in humans remain poorly characterized.

In preclinical studies, kidneys were among organs with high levels of sex-biased expression, proximal tubular cells having the highest sexual dimorphism [92] (Fig. 4). These differences only appeared around the time of sexual maturity. The heart and vessels also displayed some degree of sex-biased gene expression, shared by humans [92, 93]. These differences relate mainly to metabolism genes, may underlie differences in energy metabolism between sexes that regulate predisposition to kidney disease and in proximal tubules are driven by both sex hormone receptor transcription factors (e.g. the androgen receptor, Ar) and other sex-biased transcription factors (e.g. Hnf4a in males and Ap-2 in females) [92–94].

Figure 4:

Figure 4:

Sex-biased gene expression in the kidney. (A) Number of sex-biased genes by species and organ. Spotted pattern indicates genes located on sex chromosomes. (B) Percentage of sex-biased genes belonging to each of the onset classes: always sex-biased (Always SB), sex-biased pre–sexual maturity (Pre SM), or sex-biased post–sexual maturity (Post SM). Shown is the total number of sex-biased genes per organ and species inside each pie plot. (C) Distribution of male-biased (up) and female-biased (down) gene-set scores according to cell type and separated by male and female cells in adult mouse kidney scRNA-seq dataset (data from [92]) (**** adjusted P < 0.0001). (D) Enriched biological processes among genes that become sex biased after sexual maturity in rat kidney (n = 688; adjusted P < 0.05). Reproduced with permission from Ref 92.

These findings may explain more subtle differences. Regulated necrosis by ferroptosis has emerged as the key contributor to both AKI and CKD [95, 96]. Ferroptosis is iron-dependent and relative iron deficiency may be protective (as is the case of females during their reproductive phase). Additionally, gene expression differences make female proximal tubules resistant to ferroptosis, and this may underlie sexual dimorphism in kidney injury and repair, at least in mice [97]. In another example, gut microbiota results in sex-specific diurnal rhythms of gene expression and metabolism in mice that may influence kidney disease and CVD [98]. However, despite extensive mouse studies, human information on sex-related molecular mechanisms in kidney disease and CVD remains scarce [8].

Non-biological factors

Overall, very little research has been done examining the role of sex in CVD in patients with CKD [2]. However, information on the role of gender on overall health may apply to CVD in the general population and in patients with CKD.

Globally, multiple gender inequalities impact on health-related outcomes. More women than men are likely to live in extreme poverty, live with food insecurity, experience domestic violence, have limited access to secondary education or healthcare, engage in underpaid or unpaid work, be victims of trafficking, while fewer women hold leadership positions or are researchers [20, 99, 100]. This has been attributed to lack of economic power, social position, cultural norms, and competing responsibilities [99, 101]. Women are also less likely to receive evidence-based treatments than men even in high-income countries, especially if being treated by a male physician [91].

Measures of gender, more commonly associated with women including child care, social support, personality traits, and education level are associated with worse cardiovascular outcomes [102, 103]. Various presenting symptoms of acute coronary syndrome differ between sexes (women refer more often with nausea, back and neck pain) [104] and diagnosis of heart disease tends to be more delayed in women [105]. Women are also less likely to receive evidence-based management for myocardial infarction [91]. Finally, elderly women are more likely to choose conservative care and report higher symptom burden and severity than men on dialysis [8].

By contrast, male gender is also associated with some disadvantages [106]. More men than women are at higher risk of injury, homicide, occupational exposures, poisoning and either have less access or are less likely to use screening and prevention programs, or engage with primary care [20, 106]. In a recent clinical trial of screening methods for albuminuria, participation of men was 6%–9% lower and acceptance of a full evaluation after testing positive was also an additional 4%–8% lower than in women, thus decreasing the opportunity for early identification of CKD or high CVD risk [107] Depression is diagnosed less often in men and men are twice as likely to commit suicide than women [108]. Men are more likely to adopt avoidance behaviours such as smoking and drinking rather than dealing with illness [108] and generally have poorer adherence to long-term medication including antihypertensive treatments [108]. In pre-dialysis CKD, men tend to have worse adherence to medication, diet and healthcare-seeking behaviour, which may contribute to faster GFR decline [103, 109]. Moreover, after starting dialysis, they are more likely to continue smoking and drinking alcohol [108, 110].

Overall, gender plays a significant role in shaping individuals’ choices and attitudes towards health. This underscores the importance of gaining a deeper understanding of these factors and implementing gender-specific corrective actions.

IMPROVING OUTCOMES FOR WOMEN WITH CKD AND CVD

Health results in CVD and CKD can be improved through a gender-based approach built on the following premises:

  • Characterization of gender-specific CV and renal risk factors. Gender-specific risk factors may differ because of different lifestyles or sex differences in pathophysiology. In some studies, men had a higher burden of hypertension, obesity, or dietary sodium than females [75, 111]. Smoking appears to be a risk factor for hyperkalemia only in men [112].

  • Definition of gender-specific biomarkers and thresholds. The range of biomarker normal values and cut-off values for risk stratification may differ for men and women and the optimal values for women should be defined. KDIGO cut-off values for albuminuria are similar in men and women (e.g. UACR 30 mg/g or albuminuria 30 mg/day) but the creatinine denominator differs for men and women. In this regard, in a nephrology clinic-based DKD series, albuminuria better predicted worsening eGFR in men than in women [75].

  • Avoiding gender biases in the diagnosis and treatment of CVD in CKD patients and ensuring that all patients receive evidence-based care regardless of gender. Only 40% of patients on KRT worldwide are women, despite reports that there are more women than men with CKD in earlier stages [113]. Financial and social disadvantages may bias against access of women to diagnostic and therapeutic interventions and RT, mostly in undeveloped countries [114, 115].

  • Evidence-based therapies. This requires a separate analysis of men and women outcomes in randomized clinical trials (RCT) and facilitating access of women to RCTs. Women are clearly under-represented in most CKD RCTs; from 1995 to 2022, in 192 RCTs, women represented 66 875 (45%) of 147 136 participants. Several reasons may contribute to this underrepresentation: in some conditions, males may have more severe disease that meets entry criteria. However, it should not be the result of social or reproductive biases and should not cause trials to be underpowered for women. In 39 of those trials, there were differences in efficacy between genders, but no differences in safety issues were demonstrated [116].

  • Finally, evidence is needed on the accuracy of biomarkers and the efficacy and safety of interventions in the trans community [117].

CONCLUSIONS

While the absolute prevalence of CVD is less in women than in men with CKD, excess mortality compared to same-sex general population is higher in women than in men on KRT. Kidney transplantation lowers the cardiovascular risk of patients compared to those who remain on dialysis, but life expectancy in transplanted women compared to the general population is still 20% shorter than in transplanted men compared to same-age men in general population. Traditional CV risk factors like hypertension and diabetes present sex differences in prevalence and pregnancy complications like pre-eclampsia are associated with a strong, long-term CV risk in female lives. Hormones and differences of gene expression may explain CVD sex disparities in CKD. Moreover cultural, social, geographical, and financial factors impact women's late referral, delayed therapy, and under-representation in trials, while male sex is marred by less compliance and health-seeking behaviour.

Awareness of sex disparities in CVD in CKD populations is the first step of the process to diagnose and treat patients according to gender. Unravelling sex and gender differences in pathogenetic mechanisms may contribute to develop specific diagnostic tools and optimize targeted treatment protocols, which can really improve CV health of men and women with CKD. Therefore, studies focusing on the role of sex and gender on CVD outcomes and CKD progression are warranted. Finally, as biological factors involved in sex disparities are not expected to change without pharmacological intervention, efforts should focus on the elimination of societal and cultural factor,s which hinder both sexes from comprehensive nephrology care.

ACKNOWLEDGEMENTS

The European Renal and Cardiovascular Medicine Working (EURECA-m) Group is an official body of the European Renal Association.

Contributor Information

Olga Balafa, Department of Nephrology, University Hospital of Ioannina, Ioannina, Greece.

Beatriz Fernandez-Fernandez, Department of Nephrology and Hypertension, IIS-Fundacion Jimenez Diaz UAM, Madrid, Spain.

Alberto Ortiz, Department of Nephrology and Hypertension, IIS-Fundacion Jimenez Diaz UAM, Madrid, Spain.

Evangelia Dounousi, Nephrology Dept, Faculty of Medicine, University of Ioannina and University Hospital of Ioannina. Ioannina, Greece.

Robert Ekart, Department of Dialysis, Clinic for Internal Medicine, Faculty of Medicine, University Medical Centre Maribor, Maribor, Slovenia.

Charles J Ferro, Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK.

Patrick B Mark, School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.

Jose M Valdivielso, Vascular and Renal Traslational Research Group, UDETMA, Biomedical Research Institute of Lleida, IRBLleida, Lleida, Spain.

Lucia Del Vecchio, Department of Nephrology and Dialysis, Sant'Anna Hospital, ASST Lariana, Como, Italy.

Francesca Mallamaci, Department of Nephrology, Dialysis, and Transplantation Azienda Ospedaliera ‘Bianchi-Melacrino-Morelli’ & CNR-IFC, Reggio Calabria, Italy.

FUNDING

Research by A.O. and B.F.-F. is supported by FIS/Fondos FEDER (PI20/00744, PI22/00050, ERA-PerMed-JTC2022 (SPAREKID AC22/00027), ERAPERMED2022-248 SIGNAL (AC22/00028)), FRIAT, Comunidad de Madrid en Biomedicina P2022/BMD-7223, CIFR)A_COR-CM. Instituto de Salud Carlos III (ISCIII) RICORS program to RICORS2040 (RD21/0005/0001) funded by European Union—NextGenerationEU, Mecanismo para la Recuperación y la Resiliencia (MRR) and SPACKDc PMP21/00109, FEDER funds; COST Action PERMEDIK CA21165, supported by COST (European Cooperation in Science and Technology). PREVENTCKD Consortium Project ID: 101101220 Programme: EU4H DG/Agency: HADEA; KitNewCare, Project ID: 101137054, Call: HORIZON-HLTH-2023-CARE-04, Programme: HORIZON, DG/Agency: HADEA.

DATA AVAILABILITY STATEMENT

No new data were generated or analysed in support of this research.

CONFLICT OF INTEREST STATEMENT

A.O. has received grants from Sanofi and consultancy or speaker fees or travel support from Adviccene, Alexion, Astellas, Astrazeneca, Amicus, Amgen, Boehringer Ingelheim, Fresenius Medical Care, GSK, Bayer, Sanofi-Genzyme, Menarini, Mundipharma, Kyowa Kirin, Lilly, Freeline, Idorsia, Chiesi, Otsuka, Novo-Nordisk, Sysmex and Vifor Fresenius Medical Care Renal Pharma and is Director of the Catedra UAM-Astrazeneca of chronic kidney disease and electrolytes. He has stock in Telara Farma. P.B.M. has received grants from Boehringer Ingelheim and consultancy or speaker fees from Boehringer Ingelheim, Astrazeneca, Pharmacosmos, Astellas, GSK, Bayer, Otsuka, and Vifor Fresenius Medical Care Renal Pharma. L.DV. has received speaker fees at meeting indirectly supported by Astellas, Vifor, Amgen, AstraZeneca, Bayer.

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