Key result
Employment is linked to ~0.6-day shorter hospital length of stay in NSTEMI.
Why the study?
It remained unknown whether sex- and gender-related factors contribute to the substantial heterogeneity in hospital length of stay among patients with non-ST-segment-elevation myocardial infarction.
Does employment status and other gender-related factors predict hospital length of stay in patients with NSTEMI?
Cohort (n=2,218)
Yes
Does employment status and other gender-related factors predict hospital length of stay in patients with NSTEMI?
Unemployment, older age, and country of hospitalization are independent predictors of longer hospital length of stay following NSTEMI, highlighting sociodemographic factors as targets for resource optimization.
Sociodemographic factors merit attention in NSTEMI discharge planning; extends gender-related observations but leaves causality and practice change open.
Background Gender‐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 Results This 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±SD age, 48.5±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. Conclusions Older 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.
No takes yet. Share an insight, caveat, or question.
Bender et al. (2023) conducted a cohort in Non-ST-Segment-Elevation Myocardial Infarction (NSTEMI) (n=2,218). Employment vs. Unemployment was evaluated on In-hospital length of stay (LOS) (-0.63 days, 95% CI -1.12 to -0.14, p=0.01). Being employed was independently associated with a 0.63-day shorter hospital length of stay compared to unemployment among adults with NSTEMI.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: