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There is a high prevalence of job burnout in physicians, impacting both the professional and personal levels. This study aimed to investigate whether physicians with burnout show specific pathological traits and facets of their personalities compared with healthy controls, according to the dimensional personality models in the ICD-11 and DSM-5. The role of perceived stress, anxiety, and depression were exploratively investigated regarding group differences. Male physicians (n = 60) were recruited into two groups (burnout vs. healthy). The Personality Inventory for the DSM-5 Brief Form Plus (PID5BF+) and the Maslach Burnout Inventory (MBI) were applied. The Wilcoxon rank-sum test (WRS) showed group differences in five of the six traits and in six of the seventeen facets of the PID5BF+. Multiple binary logistic regression, controlling for age, showed that deceitfulness (3.34 (1.36–9.35), p = 0.013) and impulsivity (10.20 (2.4–61.46), p = 0.004) significantly predicted burnout. Moreover, the WRS showed significant group differences in perceived stress, depressive, and anxiety symptoms (all p < 0.00)]. The findings suggest a relationship between pathological personality facets and burnout in a sample of male physicians. In particular, the facets of deceitfulness and impulsivity appear to play an important role. Furthermore, burnout showed well-known associations with perceived stress, depressive, and anxiety symptoms. Full article

Objective: Positron emission tomography/computed tomography with ¹⁸F-fluorodeoxy-glucose (¹⁸F-FDG-PET/CT) has become the standard staging modality in various tumor entities. Cancer patients frequently receive cardio-toxic therapies. However, routine cardiovascular assessment in oncologic patients is not performed in current clinical practice. Accordingly, this study sought to assess whether myocardial ¹⁸F-FDG uptake patterns of patients undergoing oncologic PET/CT can be used for cardiovascular risk stratification. Methods: Myocardial ¹⁸F-FDG uptake pattern was assessed in 302 patients undergoing both oncologic whole-body ¹⁸F-FDG-PET/CT and myocardial perfusion imaging by single-photon emission computed tomography (SPECT-MPI) within a six-month period. Primary outcomes were myocardial ¹⁸F-FDG uptake pattern, impaired myocardial perfusion, ongoing ischemia, myocardial scar, and left ventricular ejection fraction. Results: Among all patients, 109 (36.1%) displayed no myocardial ¹⁸F-FDG uptake, 77 (25.5%) showed diffuse myocardial ¹⁸F-FDG uptake, 24 (7.9%) showed focal ¹⁸F-FDG uptake, and 92 (30.5%) had a focal on diffuse myocardial ¹⁸F-FDG uptake pattern. In contrast to the other uptake patterns, focal myocardial ¹⁸F-FDG uptake was predominantly observed in patients with myocardial abnormalities (i.e., abnormal perfusion, impaired LVEF, myocardial ischemia, or scar). Accordingly, a multivariate logistic regression identified focal myocardial ¹⁸F-FDG uptake as a strong predictor of abnormal myocardial function/perfusion (odds ratio (OR) 5.32, 95% confidence interval (CI) 1.73–16.34, p = 0.003). Similarly, focal myocardial ¹⁸F-FDG uptake was an independent predictor of ongoing ischemia and myocardial scar (OR 4.17, 95% CI 1.53–11.4, p = 0.005 and OR 3.78, 95% CI 1.47–9.69, p = 0.006, respectively). Conclusions: Focal myocardial ¹⁸F-FDG uptake seen on oncologic PET/CT indicates a significantly increased risk for multiple myocardial abnormalities. Obtaining and taking this information into account will help to stratify patients according to risk and will reduce unnecessary cardiovascular complications in cancer patients. Full article