Background The association between perfectionism and depression in the medical profession can ultimately influence physicians’ performance negatively. In medical students, especially maladaptive perfectionism is connected with distress and lower academic performance. The expression of perfectionism and symptoms of depression at the time of medical school application is not known. Therefore, we explored perfectionism and symptoms of depression in participants of multiple mini-interviews for medical school admission and investigated possible differences between applicants who were eventually admitted or rejected. Methods After the multiple mini-interviews admission procedure at Hamburg Medical School in August 2018, 146 applicants filled out a questionnaire including sociodemographic data and the following validated instruments: Multidimensional Perfectionism Scale by Hewitt and Flett (MPS-H), Multidimensional Perfectionism Scale by Frost (MPS-F), Patient Health Questionnaire (PHQ-9), Generalized Anxiety Disorder Scale (GAD-7), and a 10-item version of the Big Five Inventory (BFI-10). The two groups of admitted and rejected applicants were compared and the correlation between symptoms of depression and perfectionism further explored. Results The admitted applicants were significantly more extrovert and had lower depression scores compared to the rejected applicants. In both groups, the composite scales of Adaptive Perfectionism (r = .21, p = .011) and Maladaptive Perfectionism (r = .43, p < .001) as well as their components correlated significantly with the PHQ-9 results. Maladaptive Perfectionism accounted for about 18% of variance in the PHQ-9 score. Conclusions Rejected medical school applicants who participated in a multiple mini-interviews admission procedure showed higher levels of depression symptoms than admitted applicants. The degree of depressive symptoms can be partly explained by Maladaptive Perfectionism scores. Since coping in medical school and in postgraduate medical education require robust mental health, perfectionism questionnaires could be an additional tool in medical school selection processes.

Objectives Genetic variant classification is a challenge in rare adult‐onset disorders as in SCA‐PRKCG (prior spinocerebellar ataxia type 14) with mostly private conventional mutations and nonspecific phenotype. We here propose a refined approach for clinicogenetic diagnosis by including protein modeling and provide for confirmed SCA‐PRKCG a comprehensive phenotype description from a German multi‐center cohort, including standardized 3D MR imaging. Methods This cross‐sectional study prospectively obtained neurological, neuropsychological, and brain imaging data in 33 PRKCG variant carriers. Protein modeling was added as a classification criterion in variants of uncertain significance (VUS). Results Our sample included 25 cases confirmed as SCA‐PRKCG (14 variants, thereof seven novel variants) and eight carriers of variants assigned as VUS (four variants) or benign/likely benign (two variants). Phenotype in SCA‐PRKCG included slowly progressive ataxia (onset at 4–50 years), preceded in some by early‐onset nonprogressive symptoms. Ataxia was often combined with action myoclonus, dystonia, or mild cognitive‐affective disturbance. Inspection of brain MRI revealed nonprogressive cerebellar atrophy. As a novel finding, a previously not described T2 hyperintense dentate nucleus was seen in all SCA‐PRKCG cases but in none of the controls. Interpretation In this largest cohort to date, SCA‐PRKCG was characterized as a slowly progressive cerebellar syndrome with some clinical and imaging features suggestive of a developmental disorder. The observed non‐ataxia movement disorders and cognitive‐affective disturbance may well be attributed to cerebellar pathology. Protein modeling emerged as a valuable diagnostic tool for variant classification and the newly described T2 hyperintense dentate sign could serve as a supportive diagnostic marker of SCA‐PRKCG.

Background: Physicians have to deal with uncertainty on a daily basis, which requires high tolerance for ambiguity. When medical decisions have to be made in ambiguous situations, low levels of need for cognitive closure and high levels of adaptive perfectionism are beneficial. It might be useful to measure such personality traits during medical school selection processes. In our study, we explored the expression of need for cognitive closure, tolerance for ambiguity, and perfectionism in medical school applicants who participated in a multiple miniinterview selection process with respect to the final decision of admission or rejection. Methods: After participating in the multiple mini-interview procedure (HAM-Int) at Hamburg Medical School in August 2019, 189 medical school applicants filled out a questionnaire including the Multidimensional Perfectionism Scale by Hewitt and Flett (MPS-H), the Multidimensional Perfectionism Scale by Frost (MPS-F), the Tolerance for Ambiguity Scale (TAS), the 16-Need for Cognitive Closure Scale (16-NCCS), and sociodemographic data. After the final admission decision, the scores of need for cognitive closure, tolerance for ambiguity, and perfectionism of admitted and rejected applicants were compared. We also assessed the predictive power of need for cognitive closure and age for the admission decision in a binary logistic regression model.Results: Compared to the admitted applicants, the rejected applicants showed a significantly higher need for cognitive closure (p = .009). A high need for cognitive closure correlated significantly positively with maladaptive perfectionism (p < .001) and significantly negatively with tolerance for ambiguity (p < .001). Low need for cognitive closure and older age were associated with a positive admission decision. Conclusions: Regarding the personality traits need for cognitive closure, tolerance for ambiguity, and perfectionism we identified interesting differences and correlations of relevance for physicians' daily work in medical school applicants who were admitted or rejected after participating in a multiple mini-interview selection procedure. Further studies are needed to investigate these characteristics and their development longitudinally in medical students and to correlate them with students' medical performance.