Gender-differences in outcomes of patients in Intensive Care Unit: findings from the SPINUTI network

Autor: Ida Mura, Martina Barchitta, Antonella Agodi, R Vinci, Andrea Maugeri, Giuliana Favara, G Rapisarda
Rok vydání: 2021
Předmět:
Zdroj: European Journal of Public Health. 31
ISSN: 1464-360X
1101-1262
DOI: 10.1093/eurpub/ckab165.474
Popis: Background Achieving gender equality is one of the most important Sustainable Development Goals to guarantee health and wellbeing worldwide. Here, we aimed to assess gender-differences in risk factors and outcomes among patients admitted to Italian Intensive Care Units (ICUs). Methods Here, we included 12,534 patients from the “Italian Nosocomial Infections Surveillance in Intensive Care Units” (SPIN-UTI) project, who stayed in ICU for more than 48 hours. Firstly, characteristics at ICU admission were compared between males and females using the Mann-Whitney U or the Chi-Squared tests. Next, we compared the probability of death between genders by applying a logistic regression analysis. Results were adjusted for covariates (i.e., age, patient's origin, trauma, non-surgical treatment for acute coronary disease, surgical intervention and presence of intubation) and reported as Odds ratio (OR) and 95% Confidence Interval (CI). Finally, the Kaplan-Meier analysis was applied to assess gender difference in survival. Results Compared with male patients, females were older, more likely to come from other wards or healthcare facilities and to undergo a surgical intervention (p-values Conclusions Our results pointed out gender-differences in patients' characteristics at ICU admission, which resulted into a higher risk of death and lower survival among females. In a Public Health point of view, these findings underline that is still important to sustain gender equality in ICUs and other hospital wards. Key messages There are several gender-differences in risk factors and outcomes among patients admitted to ICUs. Gender poses per se a higher risk for death in ICU, also considering other risk factors.
Databáze: OpenAIRE