"The early bird catches the worm"-Prediction of early response and its importance for treatment outcome in a naturalistic setting of cognitive behaviour therapy.

OBJECTIVE: Knowledge about predictors of early response (ER) remains limited. This study examined patient, process, and therapist variables to predict ER in a naturalistic setting. RESEARCH DESIGN AND METHODS: Data from 493 psychotherapy outpatients were analysed. ER was defined by a ≥25% reduction in general psychological distress (ER percent) and by the reliable change index (ER RCI) within the first 10 sessions measured by the Brief Symptom Inventory-18. ER prediction was determined using logistic regression. General psychological distress (GSI) throughout treatment in patients with and without ER was modelled using a multilevel linear model. This model aimed to predict GSI over treatment using repeated measurements, considering group affiliation (ER percent vs. no ER percent), controlled for other predictors. RESULTS: The prevalence of ER percent and ER RCI were 63.6% and 47.5%, respectively. GSI and therapeutic relationship significantly predicted ER (ER percent: χ2 (6) 70.32, p < .001, Nagelkerkes R2 = .19; ER RCI: χ2 (6) 134.71, p < .001, Nagelkerkes R2 = .35). Patients who rated the therapeutic relationship more positively were more likely to achieve ER (OR = 1.10). Difference in outcomes between patients with and without ER during treatment was influenced by factors such as therapeutic relationship, GSI, therapist experience, and mental comorbidities. Including these variables improved the predictive model from AIC = 17,042.98 to AIC = 16,730.24. CONCLUSION: The therapeutic relationship is a crucial predictor of ER. Patients achieving ER tend to have better outcome than those without ER. The early phase of therapy warrants particular attention to enhance psychotherapy outcomes.

Gut microbiota differs in composition between adults with type 1 diabetes with or without depression and healthy control participants: a case-control study.

BACKGROUND: Individuals with type 1 diabetes and those with depression show differences in the composition of the gut microbiome from that of healthy people. However, these differences have not yet been studied in patients with both diseases. Therefore, we compared the gut microbiome of people with type 1 diabetes with or without depression with matched healthy controls. METHODS: A case-control study was conducted in 20 adults with type 1 diabetes (group A), 20 adults with type 1 diabetes and depression (group B), and 20 healthy adults (group C). Gut microbiota composition was determined by sequencing of the V3-V4 region of the bacterial 16S rDNA and alpha and beta diversity was compared between the groups. RESULTS: Groups A and B both showed higher alpha diversity than the healthy control group (P < 0.001) but alpha diversity did not differ significantly between groups A and B. Participants having type 1 diabetes with (P < 0.05) or without comorbid depression (P < 0.001) differed regarding beta diversity from healthy controls but not between each other. Group B (diabetes with depression) had significantly higher abundance of Megaspaera than groups A and C. Both diabetes groups had a higher abundance of Christensenellaceae, Succinivibrionaceae, and Rhodospirillaceae than the healthy group but similar between-group abundances. CONCLUSIONS: While differences in alpha and beta diversity and in some bacterial taxa occurred only between participants with diabetes and healthy controls, specific characteristics regarding the abundance of Megasphaera were observed in people with diabetes and comorbid depression. In summary, the study findings indicate a possible involvement of bacterial groups in depression in people with diabetes. The results suggest replication studies in larger samples to verify these findings.