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Objective: To analyze the effect of sex on the short-time prognosis in two different age subgroups (≤55 years old and >55 years old). Methods: From January 2009 to 2019, 1522 patients with DeBakey I acute aortic dissection (AAD) underwent frozen elephant trunk and total arch replacement at a Tertiary Center in China were divided into female group (n = 324) and male group (n = 1198). The demographic characteristics, clinical presentation, management, short-term outcomes were described in the different sex groups. The risk factors of 30-days mortality for females and males were identified by univariate and multivariable logistic regression analysis. Then, random Forest regression was used to analyze the association between age and 30-days mortality in the different sexes groups. The cut-off age for 30-days mortality in females was then identified as 55 years. The patients were divided into two subgroups: young patients (≤55 years old) and elderly patients (>55 years old). Clinical prognosis between different sex groups was further compared in the age subgroups. Results: Approximately four-fifths of the patients were males. Males with DeBakey I AAD were younger than females (47 vs 52 years; p < 0.01). The proportion of males gradually declined with age. The cut-off age for 30-days mortality in females and males was identified as 55 years old and 63 years old, respectively. In young patients (≤55 years old), the 30-days mortality rate for females was lower than males (hazard ratio [HR, 2.02, p < 0.05). Following adjustment using the multivariable Cox regression analysis, females were identified as an independent protective factor for 30-days mortality (HR, 2.24, p = 0.03). Conclusions: Our study showed that females present with DeBakey I AAD less frequently than males and they tend to present with DeBakey AAD later in life. In young patients, females had better early outcomes despite similar time for symptom onset to diagnosis and surgical technique than males. [ABSTRACT FROM AUTHOR]

The outbreak of coronavirus disease 2019 (COVID‐19) is having a dramatic effect on the mental health of healthcare workers (HCWs). Upon the emergence of the COVID‐19 pandemic, the Chinese government dispatched about 42 000 HCWs to Wuhan City and Hubei Province to fight this pandemic. This study briefly examines front‐line nurses who experienced burnout, with the main objective of investigating the mediating roles of positive and negative affect in the relationship between resilience and burnout in Wuhan hospitals at the peak of the COVID‐19 pandemic. A total of 180 front‐line nurses voluntarily participated via a social media group. They completed the online questionnaires, including the Maslach Burnout Inventory‐General Survey (MBI‐GS), the Positive and Negative Affect Schedule (PANAS), the Connor–Davidson Resilience Scale (CD‐RISC), demographics, and work‐related characteristics. Structural equation modelling (SEM) analysis was used to examine the mediating effect of positive and negative affect on the relationship between resilience and burnout. The total prevalence of burnout was 51.7%, of which 15.0% were severe burnout. These preliminary results revealed that positive and negative affect fully mediated the effects of resilience on burnout, emotional exhaustion, depersonalization, and reduced personal accomplishment of front‐line nurses. It is necessary to know the impact of resilience on HCWs with burnout through the positive and negative affect of individual backgrounds and situations, and how policymakers can deploy resilience interventions to support front‐line HCWs. [ABSTRACT FROM AUTHOR]