Present study shows that Dhat syndrome is a distinct clinical entity seen all over India, with its characteristic features.

Introduction There are limited numbers of studies on Dhat syndrome. Major limitations of the existing literature are heterogeneous assessment methods used to describe the comorbidity and small sample size from isolated centers. Aim To assess comorbidity with a common methodology in patients with Dhat syndrome from multiple centers across India. Methods Using a cross-sectional design, this multicentric study involved assessment of 780 male patients, aged more than 16 years, across 15 study centers. Main Outcome Measures ICD-10 criteria (for evaluation of psychiatric morbidity and sexual dysfunction) Results About one-third (32.8%) of the cases had no comorbidity. One-fifth (20.5%) of the patients had comorbid depressive disorders and another one-fifth (20.5%) had comorbid neurotic, stress-related and somatoform disorders. Half (51.3%) of the study sample had comorbid sexual dysfunction. When various combinations of comorbidities were evaluated, it was seen that more than one-fourth (28.7%) of the patients had only comorbid sexual dysfunction and one-sixth (15.9%) had only comorbid depressive/anxiety disorders. A little more than one-fifth (22.6%) had comorbidity of both sexual dysfunction and depressive/anxiety disorders. Conclusion Comorbid sexual dysfunction is seen in half of the cases of Dhat syndrome, and it is more common than comorbid depressive and anxiety disorders.

Next generation sequencing (NGS) has been a great success and is now a standard method of research in the life sciences. With this technology, dozens of whole genomes or hundreds of exomes can be sequenced in rather short time, producing huge amounts of data. Complex bioinformatics analyses are required to turn these data into scientific findings. In order to run these analyses fast, automated workflows implemented on high performance computers are state of the art. While providing sufficient compute power and storage to meet the NGS data challenge, high performance computing (HPC) systems require special care when utilized for high throughput processing. This is especially true if the HPC system is shared by different users. Here, stability, robustness and maintainability are as important for automated workflows as speed and throughput. To achieve all of these aims, dedicated solutions have to be developed. In this paper, we present the tricks and twists that we utilized in the implementation of our exome data processing workflow. It may serve as a guideline for other high throughput data analysis projects using a similar infrastructure. The code implementing our solutions is provided in the supporting information files.

Background:There is a lack of national level data from India on prescription of psychotropics by psychiatrists.Aim and Objective:This study aimed to assess the first prescription handed over to the psychiatrically ill patients whenever they contact a psychiatrist.Materials and Methods:Data were collected across 11 centers. Psychiatric diagnosis was made as per the International Classification of Diseases Classification of Mental and Behavioural Disorders 10th edition criteria based on Mini International Neuropsychiatric Interview, and the data of psychotropic prescriptions was collected.Results:Study included 4480 patients, slightly more than half of the subjects were of male (54.8%) and most of the participants were married (71.8%). Half of the participants were from the urban background, and about half (46.9%) were educated up to or beyond high school. The most common diagnostic category was that of affective disorders (54.3%), followed by Neurotic, stress-related and somatoform disorders (22.2%) and psychotic disorders (19.1%). Other diagnostic categories formed a very small proportion of the study participants. Among the antidepressants, most commonly prescribed antidepressant included escitalopram followed by sertraline. Escitalopram was the most common antidepressant across 7 out of 11 centers and second most common in three centers. Among the antipsychotics, the most commonly prescribed antipsychotic was olanzapine followed by risperidone. Olanzapine was the most commonly prescribed antipsychotic across 6 out of 11 centers and second most common antipsychotic across rest of the centers. Among the mood stabilizers valproate was prescribed more often, and it was the most commonly prescribed mood stabilizer in 8 out of 11 centers. Clonazepam was prescribed as anxiolytic about 5 times more commonly than lorazepam. Clonazepam was the most common benzodiazepine prescribed in 6 out of the 11 centers. Rate of polypharmacy was low.Conclusion:Escitalopram is the most commonly prescribed antidepressant, olanzapine is the most commonly prescribed antipsychotic and clonazepam is most commonly prescribed benzodiazepine. There are very few variations in prescription patterns across various centers.