Heightened aversion to risk and loss in depressed patients with a suicide attempt history.

Suicide attempters have been found to be impaired in decision-making; however, their specific biases in evaluating uncertain outcomes remain unclear. Here we tested the hypothesis that suicidal behavior is associated with heightened aversion to risk and loss, which might produce negative predictions about uncertain future events. Forty-five depressed patients with a suicide attempt history, 47 nonsuicidal depressed patients, and 75 healthy controls participated in monetary decision-making tasks assessing risk and loss aversion. Suicide attempters compared with the other groups exhibited greater aversion to both risk and loss during gambles involving potential loss. Risk and loss aversion correlated with each other in the depressed patients, suggesting that a common pathophysiological mechanism underlies these biases. In addition, emotion regulation via suppression, a detrimental emotional control strategy, was positively correlated with loss aversion in the depressed patients, also implicating impairment in regulatory processes. A preliminary fMRI study also found disrupted neural responses to potential gains and losses in the subgenual anterior cingulate cortex, insula cortex, and left amygdala, brain regions involved in valuation, emotion reactivity, and emotion regulation. The findings thus implicate heightened negative valuation in decision-making under risk, and impaired emotion regulation in depressed patients with a history of suicide attempts.

Factors predisposing to maxillary anchorage loss: a retrospective study of 1403 cases.

Anchorage loss is very disturbing for orthodontists and patients during orthodontic treatment, which usually results in bad treatment effects. Despite the same treatment strategy, different patients show different tendencies toward anchorage loss, which influences the treatment results and should preferably be predicted before the treatment is begun. However, relatively little research has been conducted on which patients are more likely to lose anchorage. The mesial tipping of the first molar marks the onset of anchorage loss, and changes in the angulation of the first molar are closely related to anchorage loss. This cross-sectional study aimed to determine how the mesiodistal angulation of the upper first molars changes during general orthodontic treatment and to identify the individual physiologic factors leading to these changes in a large sample of 1403 patients with malocclusion. The data indicate that the upper first molars tend to be tipped mesially during orthodontic treatment, and this constitutes a type of anchorage loss that orthodontists should consider carefully. Compared to treatment-related factors, patients' physiologic characteristics have a greater influence on changes in the angulation of the upper first molars during orthodontic treatment. The more distally tipped the upper first molars are before treatment, the more they will tip mesially during treatment. Mesial tipping of the upper first molars, and therefore, anchorage loss, is more likely to occur in adolescents, males, patients with class II malocclusion and patients who have undergone maxillary premolar extraction. This finding is of clinical significance to orthodontists who wish to prevent iatrogenic anchorage loss by tipping originally distally tipped upper molars forward, and provides a new perspective on anchorage during orthodontic treatment planning.

Compensation trends of the angulation of first molars: retrospective study of 1403 malocclusion cases.

We investigated the compensatory trends of mesiodistal angulation of first molars in malocclusion cases. We compared differences in the angulation of first molars in different developmental stages, malocclusion classifications and skeletal patterns. The medical records and lateral cephalogrammes of 1403 malocclusion cases taken before treatment were measured to evaluate compensation of molar angulation in relation to the skeletal jaw. The cases were stratified by age, Angle classification and skeletal patterns. Differences in the mesiodistal angulation of the first molars were compared among the stratifications. We observed three main phenomena. First, angulation of the upper first molar varied significantly with age and tipped most distally in cases aged <12 years and least distally in cases aged >16 years. The lower first molar did not show such differences. Second, in Angle Class II or skeletal Class II cases, the upper first molar was the most distally tipped, the lower first molar was the most mesially tipped, and opposite angulation compensation was observed in Class III cases. Third, in high-angle cases, the upper and lower first molars were the most distally tipped, and opposite angulation compensation was observed in low-angle cases. These data suggest that the angulation of the molars compensated for various growth patterns and malocclusion types. Hence, awareness of molar angulation compensation would help to adjust occlusal relationships, control anchorage and increase the chances of long-term stability.

Low trait anxiety, high resilience, and their interaction as possible predictors for treatment response in patients with depression.

BACKGROUND: Although many demographic and clinical characteristics have been suggested to predict treatment outcome of depression, they provide only a weak prediction for clinical response. Based on the predictive values of trauma and biological markers involved in stress response, we investigated the roles of baseline trait anxiety and resilience, which were assumed as vulnerability and resilience factors, respectively, in predicting treatment response in naturalistically treated outpatients with depressive disorders. METHODS: A total of 178 outpatients with depressive disorders were consecutively recruited and completed measures of trauma experiences, psychological symptoms, and resilience at baseline. Response was defined by Clinical Global Impression (CGI)-Improvement score ≤2 at last visit during a 6month-treatment period. Univariate analyses and multiple logistic regression analysis were performed to determine predictors of treatment response. RESULTS: Among demographic and clinical variables, treatment response was associated with increased age, longer treatment duration, higher resilience, and lower trait anxiety. In logistic regression analysis, resilience, trait anxiety, and their interaction significantly predicted treatment response after adjusting for age and treatment duration. Interaction between resilience and trait anxiety remained significant in the final model. Examining the interaction between the two, patients with low trait anxiety were only significantly affected by the level of resilience in response rate. CONCLUSIONS: Low trait anxiety, high resilience, and their interaction might contribute to better treatment response in depressed patients. Our result suggested that individual differences in responding to stress might be important in predicting treatment outcome of depression in addition to other demographic and clinical factors.

[Craniofacial characters for Angle's class II malocclusion using Procrusts superimposition and multivariate statistics].

OBJECTIVE: Cluster and discriminant analysis of the morphological characters of Angle's Class II malocclusion was performed using Procrusts standardization. The classification of craniofacial morphology with the help of morphometry and multivariate statistics was also discussed. METHODS: A total of 894 class II patients were collected from the department of orthodontic, Peking University School and Hospital of Stomatology during 1997-2000. Using Procrusts standardization and cluster analysis, the samples were divided into different groups, discrimination equations were then established. RESULTS: The samples were divided into 11 subdivisions by Procrusts superimposition and cluster analysis. Three discrimination equations were established. The accuracy rate of cross-validated grouped cases was 80.17%. CONCLUSION: Procrusts standardization had certain advantages in morphological classification; cluster analysis could be used in classification of Angle class II malocclusion; For different types, the differentiate rate was not the same; the discrimination equations was the foundation for future research.