[Possible genetic link between Darier's disease and depression : Review of the literature and case history.]

Darier's disease is a rare, inherited autosomal dominant skin disorder caused by a mutation in the sarcoendoplasmatic reticulum calcium transporter (SERCA)-2-gene. In a number of pedigrees, Darier's disease closely relates with affective disorder. The most likely hypothesis for this is a susceptibility gene for affective disorder near the SERCA-2-gene. A 6.5-megabase region could be identified as a susceptibility locus. This region constitutes a susceptability locus also in affective disorder without Darier's disease. The underlying gene has not yet been identified.

[Erectile dysfunction in depression and under treatment with antidepressants -- current treatment options]

Erectile dysfunction (ED) is a common problem in the general population, but also a symptom of both treated and untreated depression. As a side effect of antidepressant medication, erectile dysfunction appears to be one of the principal reasons for discontinuing antidepressant treatment. Avoiding or switching antidepressants is problematic, as this may lead to an increase in depressive symptoms. Our review shows that oral phosphodiesterase inhibitors are an option in treating both ED resulting from depression and from antidepressant medication.

Checking Assumptions in Latent Class Regression Models via a Markov Chain Monte Carlo Estimation Approach: An Application to Depression and Socio-Economic Status

Latent class regression models are useful tools for assessing associations between covariates and latent variables. However, evaluation of key model assumptions cannot be performed using methods from standard regression models due to the unobserved nature of latent outcome variables. This paper presents graphical diagnostic tools to evaluate whether or not latent class regression models adhere to standard assumptions of the model: conditional independence and non-differential measurement. An integral part of these methods is the use of a Markov Chain Monte Carlo estimation procedure. Unlike standard maximum likelihood implementations for latent class regression model estimation, the MCMC approach allows us to calculate posterior distributions and point estimates of any functions of parameters. It is this convenience that allows us to provide the diagnostic methods that we introduce. As a motivating example we present an analysis focusing on the association between depression and socioeconomic status, using data from the Epidemiologic Catchment Area study. We consider a latent class regression analysis investigating the association between depression and socioeconomic status measures, where the latent variable depression is regressed on education and income indicators, in addition to age, gender, and marital status variables. While the fitted latent class regression model yields interesting results, the model parameters are found to be invalid due to the violation of model assumptions. The violation of these assumptions is clearly identified by the presented diagnostic plots. These methods can be applied to standard latent class and latent class regression models, and the general principle can be extended to evaluate model assumptions in other types of models.

Vagus nerve stimulation for depression: efficacy and safety in a European study

Vagus nerve stimulation (VNS) therapy is associated with a decrease in seizure frequency in partial-onset seizure patients. Initial trials suggest that it may be an effective treatment, with few side-effects, for intractable depression.

Relation of depression to various markers of coagulation and fibrinolysis in patients with and without coronary artery disease

BACKGROUND: It has been suggested that changes in blood coagulation and fibrinolysis might explain the observed association between depression and coronary artery disease (CAD). So far, only a few coagulation factors have been investigated in this regard, and the results were not consistent. DESIGN: The aim of our study was to analyse a broad range of coagulation and fibrinolytic factors, with emphasis on factors directly involved in clot formation and degradation or reflecting coagulation activation, in patients with CAD and controls without CAD, as assessed by coronary angiography, who also underwent a diagnostic procedure for depression. METHODS: We screened 306 patients with CAD and controls without CAD for depression using the Hospital Anxiety and Depression Scale and Allgemeine Depressions Skala-L questionnaires. In participants with positive screening result, diagnosis of major depression was confirmed or excluded by a structured interview. We analysed the following coagulation and fibrinolytic factors: fibrinogen, prothrombin fragment F1+2, factor XIII A-subunit, factor XIII B-subunit, tissue plasminogen activator, plasminogen activator inhibitor-1, thrombin-activable fibrinolysis inhibitor, and D-dimer. RESULTS: We did not observe significant associations between depression and CAD, nor between depression and cardiovascular risk factors. Coagulation and fibrinolytic factors showed no differences between patients with CAD and controls, but they were associated with several cardiovascular risk factors. Depression was not associated with coagulation and fibrinolytic factors. No associations were found either when both CAD and depression were taken into account. CONCLUSION: Our study gives no evidence that there is a significant relation among depression, CAD, and blood coagulation and fibrinolysis.

Depression, the metabolic syndrome and cardiovascular risk

BACKGROUND: The relationship between depression and the metabolic syndrome is unclear, and whether metabolic syndrome explains the association between depression and cardiovascular disease (CVD) risk is unknown. METHODS: We studied 652 women who received coronary angiography as part of the Women's Ischemia Syndrome Evaluation (WISE) study and completed the Beck Depression Inventory (BDI). Women who had both elevated depressive symptoms (BDI > or =10) and a previous diagnosis of depression were considered at highest risk, whereas those with one of the two conditions represented an intermediate group. The metabolic syndrome was defined according to the ATP-III criteria. The main outcome was incidence of adverse CVD events (hospitalizations for myocardial infarction, stroke, congestive heart failure, and CVD-related mortality) over a median follow-up of 5.9 years. RESULTS: After adjusting for demographic factors, lifestyle and functional status, both depression categories were associated with about 60% increased odds for metabolic syndrome compared with no depression (p = .03). The number of metabolic syndrome risk factors increased gradually across the three depression categories (p = .003). During follow-up, 104 women (15.9%) experienced CVD events. In multivariable analysis, women with both elevated symptoms and a previous diagnosis of depression had 2.6 times higher risk of CVD. When metabolic syndrome was added to the model, the risk associated with depression only decreased by 7%, and both depression and metabolic syndrome remained significant predictors of CVD. CONCLUSIONS: In women with suspected coronary artery disease, the metabolic syndrome is independently associated with depression but explains only a small portion of the association between depression and incident CVD.

Drug-induced respiratory depression: an integrated model of drug effects on the hypercapnic and hypoxic drive

Drug-induced respiratory depression is a common side effect of the agents used in anesthesia practice to provide analgesia and sedation. Depression of the ventilatory drive in the spontaneously breathing patient can lead to severe cardiorespiratory events and it is considered a primary cause of morbidity. Reliable predictions of respiratory inhibition in the clinical setting would therefore provide a valuable means to improve the safety of drug delivery. Although multiple studies investigated the regulation of breathing in man both in the presence and absence of ventilatory depressant drugs, a unified description of respiratory pharmacodynamics is not available. This study proposes a mathematical model of human metabolism and cardiorespiratory regulation integrating several isolated physiological and pharmacological aspects of acute drug-induced ventilatory depression into a single theoretical framework. The description of respiratory regulation has a parsimonious yet comprehensive structure with substantial predictive capability. Simulations relative to the synergistic interaction of the hypercarbic and hypoxic respiratory drive and the global effect of drugs on the control of breathing are in good agreement with published experimental data. Besides providing clinically relevant predictions of respiratory depression, the model can also serve as a test bed to investigate issues of drug tolerability and dose finding/control under non-steady-state conditions.

[Diagnosis and therapy of depression in the heart disease patient]

Even though depressions and depressive symptoms are frequently observed in patients with medical diseases, their psychological problems are often neither diagnosed nor treated. Diagnosis of mood state might be easy in isolated cases yet it often is not since the precise nature of normal mood cannot be expressed in quantitative terms. Furthermore, depression can only be diagnosed based on the doctor's clinical appraisal and the patient's own description of his/her complaints. There is no gold standard on which depressive symptoms can be based on--and further on, depression is not a diagnosis. Instead, it is a syndrome that calls for differential diagnoses before treatment can be offered. Diagnosing depressive comorbidity in patients with medical complaints is even more difficult because of the overlap between symptoms of depression and accompanying symptoms of the somatic illness e.g. lack of energy. Although depressive states have been known to be a risk factor for the prognosis of patients with coronary heart disease for a long time, there is a paucity of research about the therapy these patients undergo due to the fact that tricyclic anti-depressants can have cardiotoxic effects on patients with heart disease. The treatment of depression in these patients has become a much lower risk since the introduction of serotonin reuptake inhibitors. There is widespread evidence that depressive comorbidity has a negative impact on the prognosis of medical disorders. Despite the complex nature of diagnosing depression, proper diagnosis and treatment is increasingly important in internal medicine and especially cardiology.

Links between body mass index, total body fat, cholesterol, high-density lipoprotein, and insulin sensitivity in patients with obesity related to depression, anger, and anxiety

OBJECTIVE: Define links between psychosocial parameters and metabolic variables in obese females before and after a low-calorie diet. METHOD: Nine female obese patients (age 36.1 +/- 7.1 years, body mass index [BMI] > 30 kg/m2) were investigated before and after a 6-week low-calorie diet accompanied by behavior therapy. Blood lipids, insulin sensitivity (Bergman protocol), fat distribution (by dual-energy X-ray absorptiometry [DEXA]), as well as psychological parameters such as depression, anger, anxiety, symptom load, and well-being, were assessed before and after the dieting period. RESULTS: The females lost 9.6 +/- 2.8 kg (p < .0001) of body weight, their BMI was reduced by 3.5 +/- 0.3 kg/m2 (p < .0001), and insulin sensitivity increased from 3.0 +/- 1.8 to 4.3 +/- 1.5 mg/kg (p = .05). Their abdominal fat content decreased from 22.3 +/- 5.5 to 18.9 +/- 4.5 kg (p < .0001). In parallel, psychological parameters such as irritability (p < .05) and cognitive control (p < .0001) increased, whereas feelings of hunger (p < .05), externality (p < .05), interpersonal sensitivity (p < .01), paranoid ideation (p < .05), psychoticism (p < .01), and global severity index (p < .01) decreased. Prospectively, differences in body fat (percent) were correlated to nervousness (p < .05). Waist-to-hip ratio (WHR) differences were significantly correlated to sociability (p < .05) and inversely to emotional instability (p < .05), whereas emotional instability was inversely correlated to differences in insulin sensitivity (p < .01). DISCUSSION: Weight reduction may lead to better somatic risk factor control. Women with more nervousness and better sociability at the beginning of a diet period may lose more weight than others.