Gender differences in the provision of intensive care: a Bayesian approach
Adult
Male
Sex Characteristics
Critical Care
Original
Critical Illness
610 Medicine & health
Bayes Theorem
10181 Clinic for Nuclear Medicine
3. Good health
Intensive Care Units
03 medical and health sciences
0302 clinical medicine
5. Gender equality
Humans
Female
Prospective Studies
2706 Critical Care and Intensive Care Medicine
10. No inequality
Switzerland
Retrospective Studies
DOI:
10.1007/s00134-021-06393-3
Publication Date:
2021-04-21T19:03:24Z
AUTHORS (17)
ABSTRACT
It is currently unclear whether management and outcomes of critically ill patients differ between men and women. We sought to assess the influence of age, sex and diagnoses on the probability of intensive care provision in critically ill cardio- and neurovascular patients in a large nationwide cohort in Switzerland.Retrospective analysis of 450,948 adult patients with neuro- and cardiovascular disease admitted to all hospitals in Switzerland between 01/2012 and 12/2016 using Bayesian modeling.For all diagnoses and populations, median ages at admission were consistently higher for women than for men [75 (64;82) years in women vs. 68 (58;77) years in men, p < 0.001]. Overall, women had a lower likelihood to be admitted to an intensive care unit (ICU) than men, despite being more severely ill [odds ratio (OR) 0.78 (0.76-0.79)]. ICU admission probability was lowest in women aged > 65 years (OR women:men 0.94 (0.89-0.99), p < 0.001). Women < 45 years had a similar ICU admission probability as men in the same age category [OR women:men 1.03 (0.94-1.13)], in spite of more severe illness. The odds to die were significantly higher in women than in men per unit increase in Simplified Acute Physiology Score (SAPS) II (OR 1.008 [1.004-1.012]).In the care of the critically ill, our study suggests that women are less likely to receive ICU treatment regardless of disease severity. Underuse of ICU care was most prominent in younger women < 45 years. Although our study has several limitations that are imposed by the limited data available from the registries, our findings suggest that current ICU triage algorithms could benefit from careful reassessment. Further, and ideally prospective, studies are needed to confirm our findings.
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