Single-dose i.v. ketamine augmentation of escitalopram was safe and effective in severe MDD, holding promise for speeding up early oral antidepressant efficacy.

The change in sBDNF is associated with the therapeutic efficacy of MECT in Chinese patients with depression.

Background Major depressive disorder (MDD) is a common mental illness characterized by persistent sadness and a loss of interest in activities. Using smartphones and wearable devices to monitor the mental condition of patients with MDD has been examined in several studies. However, few studies have used passively collected data to monitor mood changes over time. Objective The aim of this study is to examine the feasibility of monitoring mood status and stability of patients with MDD using machine learning models trained by passively collected data, including phone use data, sleep data, and step count data. Methods We constructed 950 data samples representing time spans during three consecutive Patient Health Questionnaire-9 assessments. Each data sample was labeled as Steady or Mood Swing, with subgroups Steady-remission, Steady-depressed, Mood Swing-drastic, and Mood Swing-moderate based on patients’ Patient Health Questionnaire-9 scores from three visits. A total of 252 features were extracted, and 4 feature selection models were applied; 6 different combinations of types of data were experimented with using 6 different machine learning models. Results A total of 334 participants with MDD were enrolled in this study. The highest average accuracy of classification between Steady and Mood Swing was 76.67% (SD 8.47%) and that of recall was 90.44% (SD 6.93%), with features from all types of data being used. Among the 6 combinations of types of data we experimented with, the overall best combination was using call logs, sleep data, step count data, and heart rate data. The accuracies of predicting between Steady-remission and Mood Swing-drastic, Steady-remission and Mood Swing-moderate, and Steady-depressed and Mood Swing-drastic were over 80%, and the accuracy of predicting between Steady-depressed and Mood Swing-moderate and the overall Steady to Mood Swing classification accuracy were over 75%. Comparing all 6 aforementioned combinations, we found that the overall prediction accuracies between Steady-remission and Mood Swing (drastic and moderate) are better than those between Steady-depressed and Mood Swing (drastic and moderate). Conclusions Our proposed method could be used to monitor mood changes in patients with MDD with promising accuracy by using passively collected data, which can be used as a reference by doctors for adjusting treatment plans or for warning patients and their guardians of a relapse. Trial Registration Chinese Clinical Trial Registry ChiCTR1900021461; http://www.chictr.org.cn/showprojen.aspx?proj=36173

The GDI, either based on self-report or rater interview, is a reliable and valid instrument for the detection of depression among older adults in non-psychiatric medical settings in Chinese culture.

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Objective This prospective study aimed to investigate the prognosis and rehabilitation of patients with recurrent depression and first episode depression after acute treatment in China. Methods A total of 434 patients with first-episode or recurrent depression who received acute treatment respectively from sixteen hospitals in thirteen cities in China were enrolled in this prospective study. All patients were followed up for 6 months after acute treatment. The following data were collected at baseline period and 1, 3, and 6 months after acute treatment: general information of patients, medication information and patient’s condition changes, brief 16-item quick inventory of depressive symptomatology self-report (QIDS-SR16), patient health questionnaire-15 (PHQ-15), quality of life enjoyment and satisfaction questionnaire-short form (Q-LES-Q-SF), Sheehan disability scale (SDS) and digit symbol substitution test (DSST). Results During the baseline period, there was a significant difference in QIDS-SR16 between recurrent patients and first-episode patients (p < 0.05), and there was no significant difference in other indicators (p > 0.05). At one month after acute treatment, there were significant differences in the total QIDS-SR16 score, the total Q-LES-SF score, the social life score, and the family life/home responsibilities score of SDS in patients with recurrent depression and first-episode depression (p < 0.05). At three months after acute treatment, there were significant differences in the total Q-LES-SF score and social life score of SDS in patients with recurrent depression and first-episode depression (p < 0.05). At six months after acute treatment, there were significant differences in the total QIDS-SR16 score, the social life score, and the total Q-LES-SF score in patients with recurrent depression and first-episode depression (p < 0.05). Compared with that data during the baseline period, the QIDS-SR16 scores and the SDS scores of all patients decreased, and the Q-LES-SF scores of all patients gradually increased as time went on during the consolidation period. Conclusion The recurrent patients have more severe social function impairment, depressive symptoms, and lower life quality than that of the first-episode depressed patients. Given the negative impact of depressed symptom on recurrent patient, more attention should be paid to the treatment of recurrent patient and recurrence prevention of first episode patient.

BackgroundThis study aimed to investigate the endothelial function by reactive hyperemia index (RHI) in patients with depression, subjects recovering from depression, and subjects without a history of depression.Material/MethodsOutpatients were recruited from a general hospital in China; 62 patients diagnosed with depression and the 17-item Hamilton Rating Scale for Depression (HAMD17) total scores ≥17 were enrolled as the depression group, 62 patients with a history of depression, discontinuation of antidepressants therapy at least 3 months ago, and HAMD17 ≤7 were recruited as remission group, and 62 subjects without a history of depression served as the control group (HAMD17 ≤7).ResultsThe mean RHI was 1.93, 2.34, and 2.19 in depression, control, and remission groups, respectively, showing a significant difference among the 3 groups (P=0.0004). In addition, a marked difference in RHI was found between depression and control groups (P=0.0003) and between depression and remission groups (P=0.0270). However, there was no significant difference between remission and control groups (P=0.3363).ConclusionsThere is a relationship between depression and endothelial dysfunction in outpatients from a general hospital in China. The improvement of depression is synchronous with the improvement of endothelial function.