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Background: Despite extensive research in the past decades, the influence of genetics on cognitive functions in schizophrenia remains unclear. Dystrobrevin-binding protein 1 (DTNBP1) is one of the most promising candidate genes in schizophrenia. An association of DTNBP1 with cognitive dysfunction, particularly memory impairment, has been reported in a number of studies. However, the results remain inconsistent. The aim of this study was to measure the association between DTNBP1 polymorphisms and cognitive domains in a well-characterized sample. Methods: Ninety-one clinically stable schizophrenia outpatients underwent a battery of cognitive tests. Six single nucleotide polymorphisms (SNPs) of DTNBP1 were genotyped in all participants. Statistical and multivariate analyses were performed. Results: Factor analysis revealed 4 factors corresponding to distinct cognitive domains, namely sustained attention, set-shifting, executive functioning, and memory. We found a significant association of the rs909706 polymorphism with attention (p = 0.030) and a nonsignificant trend for set-shifting (p = 0.060). The other SNPs and haplotypes were not associated with cognitive function. Discussion: Replication of this finding in a larger sample is needed in order to confirm the importance of this particular polymorphism in the genetics of schizophrenia, particularly the distinct cognitive domains. In conclusion, the present study supports the involvement of DTNBP1 in the regulation of cognitive processes and demonstrates association in particular with sustained attention and set-shifting in schizophrenia patients. (C) 2016 S. Karger AG, Basel
Mental disorders are among the greatest medical and social challenges facing us. They can occur at all stages of life and are among the most important commonly occurring diseases. In Germany 28 % of the population suffer from a mental disorder every year, while the lifetime risk of suffering from a mental disorder is almost 50 %. Mental disorders cause great suffering for those affected and their social network. Quantitatively speaking, they can be considered to be among those diseases creating the greatest burden for society due to reduced productivity, absence from work and premature retirement. The Federal Ministry of Education and Research is funding a new research network from 2015 to 2019 with up to 35 million euros to investigate mental disorders in order to devise and develop better therapeutic measures and strategies for this population by means of basic and translational clinical research. This is the result of a competitive call for research proposals entitled research network for mental diseases. It is a nationwide network of nine consortia with up to ten psychiatric and clinical psychology partner institutions from largely university-based research facilities for adults and/or children and adolescents. Furthermore, three cross-consortia platform projects will seek to identify shared causes of diseases and new diagnostic modalities for anxiety disorders, attention deficit hyperactivity disorders (ADHS), autism, bipolar disorders, depression, schizophrenia and psychotic disorders as well as substance-related and addictive disorders. The spectrum of therapeutic approaches to be examined ranges from innovative pharmacological and psychotherapeutic treatment to novel brain stimulation procedures. In light of the enormous burden such diseases represent for society as a whole, a sustainable improvement in the financial support for those researching mental disorders seems essential. This network aims to become a nucleus for long overdue and sustained support for a German center for mental disorders.
Persistence with antidepressant drugs in patients with dementia: a retrospective database analysis
(2016)
Background: The aims of the present study are to determine what proportion of patients with dementia receives antidepressants, how long the treatment is administered, and what factors increase the risk of discontinuation. Methods: The study was based on Disease Analyzer database and included 1,203 general practitioners (GP) and 209 neurologists/psychiatrists (NP). 12,281 patients with a diagnosis of dementia and an initial prescription of an antidepressant drug between January 2004 and December 2013 were included. The main outcome measure was antidepressant discontinuation rates within 6 months of the index date. Results: After 6 months of follow-up, 52.7% of dementia patients treated with antidepressants had stopped medication intake. There was a significantly decreased risk for treatment discontinuation for patients using selective serotonin reuptake inhibitors (SSRRIs) or serotonin and norepinephrine reuptake inhibitors (SSNRIs) compared to tricyclic antidepressants. There was a significantly increased risk of treatment discontinuation for older patients and patients treated in NP practice. Comorbidity of diabetes or history of stroke was associated with a decreased risk of treatment discontinuation. Conclusion: The study results show insufficient persistence in antidepressant treatment in dementia patients in a real world setting. The improvement must be achieved to ensure the treatment recommended in the guidelines.
Background: Dementia is a psychiatric condition the development of which is associated with numerous aspects of life. Our aim was to estimate dementia risk factors in German primary care patients.
Methods: The case-control study included primary care patients (70-90 years) with first diagnosis of dementia (all-cause) during the index period (01/2010-12/2014) (Disease Analyzer, Germany), and controls without dementia matched (1:1) to cases on the basis of age, sex, type of health insurance, and physician. Practice visit records were used to verify that there had been 10 years of continuous follow-up prior to the index date. Multivariate logistic regression models were fitted with dementia as a dependent variable and the potential predictors.
Conclusions: Risk factors for dementia found in this study are consistent with the literature. Nevertheless, the associations between statin, PPI and antihypertensive drug use, and decreased risk of dementia need further investigations.
Background: Dementia is a psychiatric condition the development of which is associated with numerous aspects of life. Our aim was to estimate dementia risk factors in German primary care patients.
Methods: The case-control study included primary care patients (70-90 years) with first diagnosis of dementia (all-cause) during the index period (01/2010-12/2014) (Disease Analyzer, Germany), and controls without dementia matched (1:1) to cases on the basis of age, sex, type of health insurance, and physician. Practice visit records were used to verify that there had been 10 years of continuous follow-up prior to the index date. Multivariate logistic regression models were fitted with dementia as a dependent variable and the potential predictors.
Results: The mean age for the 11,956 cases and the 11,956 controls was 80.4 (SD: 5.3) years. 39.0% of them were male and 1.9% had private health insurance. In the multivariate regression model, the following variables were linked to a significant extent with an increased risk of dementia: diabetes (OR: 1.17; 95% CI: 1.10-1.24), lipid metabolism (1.07; 1.00-1.14), stroke incl. TIA (1.68; 1.57-1.80), Parkinson's disease (PD) (1.89; 1.64-2.19), intracranial injury (1.30; 1.00-1.70), coronary heart disease (1.06; 1.00-1.13), mild cognitive impairment (MCI) (2.12; 1.82-2.48), mental and behavioral disorders due to alcohol use (1.96; 1.50-2.57). The use of statins (OR: 0.94; 0.90-0.99), proton-pump inhibitors (PPI) (0.93; 0.90-0.97), and antihypertensive drugs (0.96, 0.94-0.99) were associated with a decreased risk of developing dementia.
Conclusions: Risk factors for dementia found in this study are consistent with the literature. Nevertheless, the associations between statin, PPI and antihypertensive drug use, and decreased risk of dementia need further investigations.
Background/Aims: To analyze the duration of treatment with antipsychotics in German dementia patients. Methods: This study included patients aged 60 years and over with dementia who received a first-time antipsychotic prescription by psychiatrists between 2009 and 2013. The main outcome measure was the treatment rate for more than 6 months following the index date. Results: A total of 12,979 patients with dementia (mean age 82 years, 52.1% living in nursing homes) were included. After 2 years of follow-up, 54.8%, 57.2%, 61.1%, and 65.4% of patients aged 60 - 69, 70 - 79, 80 - 89, and 90 - 99 years, respectively, received antipsychotic prescriptions. 63.9% of subjects living in nursing homes and 55.0% of subjects living at home also continued their treatment (p-value < 0.001). Conclusion: The percentage of dementia patients treated with anti psychotics is very high.
The Summary Thirty-five thousand four hundred eighty-three female osteoporosis patients were compared with 35,483 patients without osteoporosis regarding the incidence of depression. The risk of depression is significantly increased for patients with osteoporosis compared with patients without osteoporosis in primary care practices within Germany. Introduction The objectives of the present study were to analyze the incidence of depression in German female patients with osteoporosis and to evaluate the risk factors for depression diagnosis within this patient population. Methods This study was a retrospective database analysis conducted in Germany utilizing the Disease Analyzer (R) Database (IMS Health, Germany). The study population included 70,966 patients between 40 and 80 years of age from 1072 primary care practices. The observation period was between 2004 and 2013. Follow-up duration was 5 years and was completed in April 2015. A total of 35,483 osteoporosis patients were selected after applying exclusion criteria, and 35,483 controls were chosen and then matched (1:1) to osteoporosis patients based on age, sex, health insurance coverage, depression diagnosis in the past, and follow-up duration after index date. The analyses of depression-free survival were carried out using Kaplan-Meier curves and log-rank tests. Cox proportional hazards models (dependent variable: depression) were used to adjust for confounders. Results Depression diagnoses were presented in 33.0% of the osteoporosis group and 22.7% of the control group after the 5-year follow-up (p < 0.001). Dementia, cancer, heart failure, coronary heart disease, and diabetes were associated with a higher risk of developing depression (p < 0.001). Private health insurance was associated with a lower risk of depression. There was no significant effect of fractures on depression risk. Conclusion The risk of depression is significantly increased for patients with osteoporosis in primary care practices within Germany.
Objective: To estimate the prevalence and type of antidepressant medication prescribed by German primary care physicians for patients with depression and osteoporosis. Methods: This study was a retrospective database analysis conducted in Germany utilizing the Disease Analyzer (R) Database (IMS Health, Germany). The study population included 3,488 female osteoporosis patients aged between 40 and 90 years recruited from 1,179 general practitioner practices and who were initially diagnosed with depression during the index period (January 2004 to December 2013). Follow-up lasted up to 12 months and was completed in August 2015. Also included in this study were 3,488 nonosteoporosis controls who were matched (1 : 1) to osteoporosis cases on the basis of age, health insurance coverage, severity of depression, and physician carrying out the diagnosis. Results: After 12 months of followup, 30.1% of osteoporosis and 29.9% of nonosteoporosis patients with mild depression (p = 0.783), 52.4% of osteoporosis and 48.0% of non-osteoporosis patients with moderate depression (p = 0.003), and 39.4% of osteoporosis and 35.1% of nonosteoporosis patients with severe depression (p = 0.147) were being treated with antidepressants. Osteoporosis patients with moderate depression had a higher chance of being prescribed antidepressant therapy at the initial diagnosis (hazard ratio (HR): 1.12, p = 0.014). No differences were found between osteoporosis and nonosteoporosis patients regarding the proportion of patients receiving selective serotonin reuptake inhibitors (SSRI)/serotonin-noradrenaline reuptake inhibitors (SNRI), tricyclic antidepressant (TCA), or other antidepressants. Osteoporosis patients were more often referred to hospitals or psychiatrists for consultation. Conclusion: Osteoporosis patients are more often treated initially with antidepressants than non-osteoporosis patients, especially within the groups of patients with moderate or severe depression. TCA was the most frequently used antidepressant therapy class on initial diagnosis in both patient groups. Osteo-porosis patients receive referrals to hospitals or psychiatrists more often than patients without osteoporosis.
In detoxified alcohol-dependent patients, alcohol-related stimuli can promote relapse. However, to date, the mechanisms by which contextual stimuli promote relapse have not been elucidated in detail. One hypothesis is that such contextual stimuli directly stimulate the motivation to drink via associated brain regions like the ventral striatum and thus promote alcohol seeking, intake and relapse. Pavlovian-to-Instrumental-Transfer (PIT) may be one of those behavioral phenomena contributing to relapse, capturing how Pavlovian conditioned (contextual) cues determine instrumental behavior (e.g. alcohol seeking and intake). We used a PIT paradigm during functional magnetic resonance imaging to examine the effects of classically conditioned Pavlovian stimuli on instrumental choices in n=31 detoxified patients diagnosed with alcohol dependence and n=24 healthy controls matched for age and gender. Patients were followed up over a period of 3 months. We observed that (1) there was a significant behavioral PIT effect for all participants, which was significantly more pronounced in alcohol-dependent patients; (2) PIT was significantly associated with blood oxygen level-dependent (BOLD) signals in the nucleus accumbens (NAcc) in subsequent relapsers only; and (3) PIT-related NAcc activation was associated with, and predictive of, critical outcomes (amount of alcohol intake and relapse during a 3 months follow-up period) in alcohol-dependent patients. These observations show for the first time that PIT-related BOLD signals, as a measure of the influence of Pavlovian cues on instrumental behavior, predict alcohol intake and relapse in alcohol dependence.