BackgroundGender-related factors are psycho-socio-cultural characteristics and are associated with adverse clinical outcomes in acute myocardial infarction, independent of sex. Whether sex- and gender-related factors contribute to the substantial heterogeneity in hospital length of stay (LOS) among patients with non-ST-segment-elevation myocardial infarction remains unknown. Methods and ResultsThis observational cohort study combined and analyzed data from the GENESIS-PRAXY (Gender and Sex Determinants of Cardiovascular Disease: From Bench to Beyond Premature Acute Coronary Syndrome study), EVA (Endocrine Vascular Disease Approach study), and VIRGO (Variation in Recovery: Role of Gender on Outcomes of Young AMI [Acute Myocardial Infarction] Patients study) cohorts of adults hospitalized across Canada, the United States, Switzerland, Italy, Spain, and Australia for non-ST-segment-elevation myocardial infarction. In total, 5219 participants were assessed for eligibility. Sixty-three patients were excluded for missing LOS, and 2938 were excluded because of no non-ST-segment-elevation myocardial infarction diagnosis. In total, 2218 participants were analyzed (66% women; mean & PLUSMN;SD age, 48.5 & PLUSMN;7.9 years; 67.8% in the United States). Individuals with longer LOS (51%) were more likely to be White race, were more likely to have diabetes, hypertension, and a lower income, and were less likely to be employed and have completed secondary education. No univariate association between sex and LOS was observed. In the adjusted multivariable model, age (0.62 d/10 y; P<0.001), unemployment (0.63 days; P=0.01), and some of countries included relative to Canada (Italy, 4.1 days; Spain, 1.7 days; and the United States, -1.0 days; all P<0.001) were independently associated with longer LOS. Medical history mediated the effect of employment on LOS. No interaction between sex and employment was observed. Longer LOS was associated with increased 12-month all-cause mortality. ConclusionsOlder age, unemployment, and country of hospitalization were independent predictors of LOS, regardless of sex. Individuals employed with non-ST-segment-elevation myocardial infarction were more likely to experience shorter LOS. Sociocultural factors represent a potential target for improvement in health care expenditure and resource allocation.

Gender refers to the socially constructed roles, behaviours, expressions and identities of girls, women, boys, men and gender diverse people. Gender-related factors are seldom assessed as determinants of health outcomes, despite their powerful contribution. The Gender Outcomes INternational Group: to Further Well-being Development (GOING-FWD) project developed a standard five-step methodology applicable to retrospectively identify gender-related factors and assess their relationship to outcomes across selected cohorts of non-communicable chronic diseases from Austria, Canada, Spain, Sweden. Step 1 (identification of gender-related variables): Based on the gender framework of the Women Health Research Network (ie, identity, role, relations and institutionalised gender), and available literature for a certain disease, an optimal ‘wish-list’ of gender-related variables was created and discussed by experts. Step 2 (definition of outcomes): Data dictionaries were screened for clinical and patient-relevant outcomes, using the International Consortium for Health Outcome Measurement framework. Step 3 (building of feasible final list): a cross-validation between variables per database and the ‘wish-list’ was performed. Step 4 (retrospective data harmonisation): The harmonisation potential of variables was evaluated. Step 5 (definition of data structure and analysis): The following analytic strategies were identified: (1) local analysis of data not transferable followed by a meta-analysis combining study-level estimates; (2) centrally performed federated analysis of data, with the individual-level participant data remaining on local servers; (3) synthesising the data locally and performing a pooled analysis on the synthetic data and (4) central analysis of pooled transferable data. The application of the GOING-FWD multistep approach can help guide investigators to analyse gender and its impact on outcomes in previously collected data.

Background: Evidence differentiating the effect of biological sex from psychosociocultural factors (gender) in different societies and its relation to cardiovascular diseases is scarce. We explored the association between sex, gender, and cardiovascular health (CVH) among Canadian (CAN) and Austrian (AT) populations. Methods: The Canadian Community Health Survey (CCHS) (n = 63,522; 55% female) and Austrian Health Interview Survey (AT HIS) (n = 15,771; 56% female) were analyzed in a cross-sectional survey design. The CANHEART/ATHEART index, a measure of ideal CVH composed of 6 cardiometabolic risk factors (smoking, physical activity, fruit and vegetable consumption, overweight/obesity, diabetes,and hypertension; range 0-6; higher scores reflecting better CVH) was calculated for both databases. A composite measure of psychosociocultural gender was computed for each country (range 0-1, higher score identifying characteristics traditionally ascribed to women). Results: Median CANHEART 4 (interquartile range 3-5) and CAN gender scores 0.55 (0.49-0.60) were similar to median ATHEART 4 (3-5) and AT gender scores 0.55 (0.46-0.64). Although higher gender scores (CCHS: /3 = -1.33, 95% confidence interval [CI] -1.44 to -1.22; AT HIS: /3 = -1.08, 95% CI -1.26 to -0.89)) were associated with worse CVH, female sex (CCHS: /3 = 0.35, 95% CI (0.33-0.37); AT-HIS: /3 = 0.60, 95% CI (0.55-0.64)) was associated with better CVH in both populations. In addition, higher gender scores were associated with increased prevalence of heart disease compared with female sex. The magnitude of this risk was higher in Austrians. Conclusions: These results demonstrate that individuals with characteristics typically ascribed to women reported poorer cardiovascular health and higher risk of heart disease, independently from biological sex and baseline CV risk factors, in both countries. Female sex exhibited better CV health and a lower prevalence of heart disease than male in both populations. However, gender factors and magnitude of gender impact varied by country.

Background: Gender refers to the socially constructed roles, behaviors, expressions, and identities of girls, women, boys, men, and gender diverse people. It influences self-perception, individual’s actions and interactions, as well as the distribution of power and resources in society. Gender-related factors are seldom assessed as determinants of health outcomes, despite their powerful contribution. Methods: Investigators of the GOING-FWD project developed a standard methodology applicable for observational studies to retrospectively identify gender-related factors to assess their relationship to outcomes and applied this method to selected cohorts of non-communicable chronic diseases from Austria, Canada, Spain, Sweden. Results: The following multistep process was applied. Step 1 (Identification of Gender-related Variables): Based on the gender framework of the Women Health Research Network (i.e. gender identity, role, relations, and institutionalized gender), and available literature for a certain disease, an optimal “wish-list” of gender-related variables/factors was created and discussed by experts. Step 2 (Definition of Outcomes): each of the cohort data dictionaries were screened for clinical and patient relevant outcomes, using the ICHOM framework. Step 3 (Building of Feasible Final List): A cross-validation between gender-related and outcome variables available per database and the “wish-list” was performed. Step 4 (Retrospective Data Harmonization): The harmonization potential of variables was evaluated. Step 5 (Definition of Data Structure and Analysis): Depending on the database data structure, the following analytic strategies were identified: (1) local analysis of data not transferable followed by a meta-analysis combining study-level estimates; (2) centrally performed federated analysis of anonymized data, with the individual-level participant data remaining on local servers; (3) synthesizing the data locally and performing a pooled analysis on the synthetic data; and (4) central analysis of pooled transferable data. Conclusion: The application of the GOING-FWD systematic multistep approach can help guide investigators to analyze gender and its impact on outcomes in previously collected data.

Introduction: Little evidence exists differentiating the effect of biological sex from gender-related (i.e. psycho-socio-cultural) characteristics in cardiovascular outcomes. Hypothesis: Here, we explored the association between sex, gender, and cardiovascular health (CVH) among Canadians (CAN) and Austrians (AT). Methods: Data from the Canadian Community Health Survey (CCHS) (n=63,522, 55% Females) and Austrian Health Interview Survey (AT-HIS) (n=15,771, 56% Females), were analyzed. The CANHEART index, a measure of ideal CVH composed of 6 cardiometabolic risk factors ranging from 0 (worst) to 6 (ideal), was calculated in the CCHS as well as AT-HIS databases (ATHEART). A country-specific gender score was computed using principal component analysis-derived propensity score methods. The final gender scores (Range=0-1, higher score identifying characteristics traditionally ascribed to women) included: i) household size, perceived life stress, education, sense of belonging to community, marital status, and income (CAN); ii) household size, frequency of negative emotions, education, marital status and income (AT). Results: Median CANHEART and CAN gender scores were 4 [3-5] and 0.53 [0.49-0.60] while median ATHEART and AT gender scores were 4 [3-5] and 0.55 [0.46-0.64]. Although higher gender scores (CCHS: β=-1.33, 95%CI (-1.44,-1.22); AT-HIS: β=-1.11, 95%CI (-1.30,-0.91)) were associated with worse CVH, female sex (CCHS: β=0.35, 95% CI (0.33,0.37); AT-HIS: β=0.59, 95%CI (0.55,0.64)) was associated with better CVH in both populations. Additionally, higher gender scores were associated with a higher risk of heart disease, compared to female sex. The magnitude of this risk was higher in AT population (Table1). Conclusions: Individuals with characteristics typically ascribed to women reported poorer CVH and exhibited higher risk of heart disease independent of biological sex. Gender factors must be targeted for improving cardiovascular health.

Introduction: Gender refers to psycho-socio-cultural characteristics typically ascribed to men, women and gender-diverse individuals and has been shown to be associated with adverse clinical outcomes in AMI independent of sex. Substantial heterogeneity in hospital length of stay exists among patients admitted with NSTEMI. Whether sex and gender-based differences contribute to length-of-stay (LOS) among patients with NSTEMI remains unknown. Methods: To examine the relationship between sex, gender-related factors and LOS in adults hospitalized for NSTEMI, data from the GENESIS-PRAXY (n=1,210, Canada, U.S. and Switzerland), EVA (n=430, Italy) and VIRGO (n=3,572, U.S., Spain and Australia) studies of adults hospitalized for AMI were combined and analyzed. A best-fit linear regression model was selected through incremental analysis by stepwise addition of gender-related variables thought to be different in either impact or distribution between men and women. Results: Among the overall cohort (n=5,212), 2,218 participants with a diagnosis of NSTEMI were included in the final cohort (66% women, mean age 48.5 years, 67.8% U.S.). Half of the patients had a LOS of longer than 4 days (n=1,124) and were more likely to be white and have a clustering of cardiac risk factors in comparison to those with shorter LOS. No association between sex and LOS was observed in the bivariate analysis (p=0.87). In the multivariable model adjusted for sex, age, country of hospitalization, level of education, marital status, employment status, income, and social support, age (0.062 days/year, p=0.0002), being employed (-0.63 days in workers, p=0.01) and the treatment country relative to Canada (Italy=4.1 days; Spain=1.7 days; and the U.S.=-1.0 days, all p-value<0.001) were significant predictors of LOS. Conclusions: Employed individuals are more likely to experience a shorter LOS following NSTEMI. Variation in LOS exists across different countries and is likely due to institutional policy, resource allocation, and differences in cultural and psychosocial influences.