Severity of Depression Impacts Imminent Conversion from Mild Cognitive Impairment to Alzheimer's Disease.

BACKGROUND: Mild cognitive impairment (MCI) has been suggested to represent a prodromal stage of dementia and to confer a high risk for conversion to dementia Alzheimer's type (DAT). OBJECTIVES: In this study, we examined the predictive value of depressive symptoms and neuropsychological variables on conversion of MCI to DAT. METHODS: Neuropsychological and clinical follow-up data of 260 MCI patients seen at the Psychiatric Memory Clinic of the Medical University of Innsbruck between 2005 and 2015 were analyzed retrospectively. Depression was assessed using the Geriatric Depression Scale (GDS). Potential predictors of conversion from MCI to DAT were analyzed by logistic regression analyses and additional survival-analytic methods. RESULTS: Of the 260 patients (mean age 71.5±7.7 years), 83 (32%) converted to DAT within a mean follow-up time of 3.2±2.2 years and estimated one-year conversion rate of 10.1%. The univariate analysis showed with few exceptions (gender, use of antidepressants, low GDS score) group differences at baseline in patients converted to DAT compared to stable MCI patients. Logistic regression analysis as well as survival analysis revealed moderate to severe depression together with higher age and specific cognitive deficits as predictors of conversion from MCI to DAT. CONCLUSION: Our results support the predictive value of different neuropsychological measures on the progression of DAT. In addition, we found a strong negative influence of depression on conversion to DAT in MCI patients. These results emphasize the importance of assessing depressive symptoms in the early stages of DAT when evaluating the conversion from MCI to DAT.

Pharmacological strategies to counteract antipsychotic-induced weight gain and metabolic adverse effects in schizophrenia: a systematic review and meta-analysis.

BACKGROUND: Antipsychotic-induced metabolic adversities are often difficult to manage. Using concomitant medications to counteract these adversities may be a rational option. OBJECTIVE: To systematically determine the effectiveness of medications to counteract antipsychotic-induced metabolic adversities in patients with schizophrenia. DATA SOURCES: Published articles until November 2013 were searched using 5 electronic databases. Clinical trial registries were searched for unpublished trials. STUDY SELECTION: Double-blind randomized placebo-controlled trials focusing on patients with schizophrenia were included if they evaluated the effects of concomitant medications on antipsychotic-induced metabolic adversities as a primary outcome. DATA EXTRACTION: Variables relating to participants, interventions, comparisons, outcomes, and study design were extracted. The primary outcome was change in body weight. Secondary outcomes included clinically relevant weight change, fasting glucose, hemoglobin A1c, fasting insulin, insulin resistance, cholesterol, and triglycerides. DATA SYNTHESIS: Forty trials representing 19 unique interventions were included in this meta-analysis. Metformin was the most extensively studied drug in regard to body weight, the mean difference amounting to -3.17 kg (95% CI: -4.44 to -1.90 kg) compared to placebo. Pooled effects for topiramate, sibutramine, aripiprazole, and reboxetine were also different from placebo. Furthermore, metformin and rosiglitazone improved insulin resistance, while aripiprazole, metformin, and sibutramine decreased blood lipids. CONCLUSION: When nonpharmacological strategies alone are insufficient, and switching antipsychotics to relatively weight-neutral agents is not feasible, the literature supports the use of concomitant metformin as first choice among pharmacological interventions to counteract antipsychotic-induced weight gain and other metabolic adversities in schizophrenia.

Prolactin levels and sexual adverse effects in patients with schizophrenia during antipsychotic treatment.

OBJECTIVE: Patients with schizophrenia often experience sexual dysfunction (SD), to which disorder-related factors like negative symptoms and nondisorder-related factors can theoretically contribute. Thus, we investigated the correlation of SD and serum prolactin level in patients with schizophrenia during antipsychotic treatment. METHODS: We included 39 patients with schizophrenia with a mean age of 34.6 years who were switched to second-generation antipsychotics into the study. Sexual adverse effects (via a specific scale) and serum prolactin levels were measured at baseline and week 4. RESULTS: In males, mean prolactin levels increased over 4 weeks at a trend level of significance. Although a high incidence of SD was reported at baseline, there were no statistically significant changes over the course of 4 weeks. At baseline, a positive correlation between diminished sexual desire and prolactin levels could be found in men, which was not found in women; at week 4, both male and female patients demonstrated a positive correlation between orgastic dysfunction and prolactin levels. We found significant positive correlations between changes in prolactin levels over 4 weeks and changes in orgastic dysfunction for both sexes. Regression analyses showed prolactin levels at baseline to be a predictor of diminished sexual desire in men. Change in prolactin level was found to be a predictor of change for diminished sexual desire in women and for orgastic dysfunction in both sexes. CONCLUSION: We conclude that the potential of antipsychotics to increase serum prolactin levels imposes a certain risk that patients will experience SD of varying severity.