Hagenjohansen3350
The trend in the infant mortality rate decreased while the inequality in its distribution by jurisdiction and the inequality associated with social conditions did not always accompany this reduction.Smartphones and applications related to the same are ubiquitous now. As dermatologists, we have a wide array of smartphone apps at our disposal which we can use to improve our practice in all aspects-clinical, academic, research, and administrative. This article provides an overview of available apps, tips on using apps-both general and specific for dermatology, as well as discusses the scientific validity of some of these apps and the future of smartphone apps in the context of dermatology.Advances in Machine Learning and availability of state-of-the-art computational resources, along with digitized healthcare data, have set the stage for extensive application of artificial intelligence in the realm of diagnosis, prognosis, clinical decision support, personalized treatment options, drug development, and the field of biomedicine. Here, we discuss the application of Machine Learning algorithms in patient healthcare and dermatological domains along with the ethical complexities that are involved. In scientific studies, ethical challenges were initially not addressed proportionally (as assessed by keyword counts in PubMed) and just more recently (since 2016) this has started to improve. Few pioneering countries have created regulatory guidelines around how to respect matters of (1) privacy, (2) fairness, (3) accountability, (4) transparency and (5) conflict of interest when developing novel medical Machine Learning applications. While there is a strong promise of emerging medical applications to ultimately benefit both the patients and the medical practitioners, it is important to raise awareness on the five key ethical issues and incorporate them into medical practice in the near future.
The Depression, Anxiety, and Stress Scale (DASS) is a widely used measure of negative emotional states. While the DASS is increasingly used in mental health research in India, to date no study has examined the factor structure among Indian adults.
A large community sample of English-speaking Indian adults completed the DASS 21-item version, and confirmatory factor analyses were conducted.
The results indicated a good fit for a three factor (depression, anxiety, and stress) and a one-factor model (general psychological distress). There was no substantial difference between the fit of the models, and the DASS subscales were very strongly correlated with one another (
≥ .80).
The findings from this sample suggest that the DASS-21 items appear to assess general psychological distress, with little evidence that the items assess three distinct subscales.
The findings from this sample suggest that the DASS-21 items appear to assess general psychological distress, with little evidence that the items assess three distinct subscales.The COVID19 pandemic is an unprecedented disaster. In India, the spread of COVID19 infection and the subsequent lockdown coincided with a crucial period of the annual examination in almost all educational institutions. The pandemic has created hurdles in the conduct of examination due to many reasons, some of which are spread of infection and associated safety issues, lack of public transport for patients as well as the postgraduates in outstation and examiners, and lack of workforce due to round-the-clock service for rendering health services leading to difficulty in arranging logistics at the examination center. Currently, there are no guidelines or policies on how examinations need to be carried out during such a pandemic. #link# Hence, there is an urgent need to look at solutions within the profession for the completion of examination. Teachers of psychiatry play an important role in the national mental health services. Their expertise can be valuable for finding solutions that work. This article has compiled suggestions from Indian teachers of psychiatry.Artificial intelligence (AI) has emerged as a major frontier in computer science research. Although AI has been available for some time and found its application in many fields of medicine, its use in dermatology is comparatively new and limited. A sound understanding of the concepts of AI is essential for dermatologists as skin conditions with their abundant clinical and dermatoscopic data and images can potentially be the next big thing in the application of AI in medicine. There are already a number of artificial intelligence studies focusing on skin disorders, such as skin cancer, psoriasis, atopic dermatitis and onychomycosis. This article presents an overview of AI and new developments relevant to dermatology, examining both its current applications and future potential.
To mitigate the spread of the pandemic coronavirus infection (COVID-19), governments across the world have adopted "lockdowns" which have confined many individuals to their homes. This disrupts normal life routines, elements of which are important circadian cues. The pandemic is also associated with new stressors, altered roles, and uncertainties about health and economic security, which are also likely to affect sleep. The current study is an online survey of sleep experience, routines, physical activity, and symptoms of anxiety and depression, to study the alterations associated with the lockdown.
The survey was conducted in early May 2020 using a questionnaire circulated through social media platforms. find more related to demographic characteristics, current and previous sleep schedules, routine, and working patterns. Insomnia (Insomnia Severity Index - 4), Stress (Perceived Stress Scale - 4), anxiety and depressive symptoms (Patient Health Questionnaire - 4) and physical activity (International Physid rates of emotional symptoms, it is unclear from these cross-sectional results, whether sleep deterioration produces psychological distress, or vice versa.The purpose of this quality improvement initiative was to analyze how nurses record their workload in the GRASP Workload Measurement System and document the end-of-life nursing care provided to imminently dying patients. The analysis was done in conformity with the Comfort Measures Order Set in our hospital. Nursing documentation was examined (n = 4 patient records) covering 15 oncology nursing shifts. Nurses are expected to complete the GRASP tool after each shift for all the patients in their care. It is presumed that nurses' workload data will be reported accurately and reliably, as well as interrelate with their nursing documentation. Workload audits are conducted routinely to ensure accuracy. Interrater Reliability Monitoring was used to analyze the degree of agreement between the ratings performed on the audit of the completed GRASP tool and the nursing documentation on end-of-life care delivered. The GRASP compliance rate was 66.6% and GRASP-documentation accuracy rate was 60-70%. These observations were below the established target of 90%. The results provide insight regarding any gaps between documentation and GRASP at end of life.
Attention deficit/hyperactivity disorder (ADHD) is a well-known multigenic neurodevelopment disorder. link2 It is a psychiatric disease which mainly affects the children and adolescence. Globally, 3%-5% of children are suffering from this mental disorder.
This disease is characterized by hyperactivity, impulsiveness and inattentiveness. Suffering individuals are also observed with sleep related problems. Though, its polygenic, to study the complexity of these genes, we used a purely network approach. Firstly, we collected all the candidate genes involved in ADHD through a literature survey.
We investigated these genes using STRING 10 and Cytoscape v 3.3.0 for protein protein interaction network. Accordingly, we attempted to identify the hub genes based on definite parameters like betweenness centrality, clustering coefficient and node degree using Network analyzer. Likewise, the key transcriptional regulators were acknowledged by means of MatInspector program. Finally, the enrichment analysis was executed using ClueGO.
As a result, dopamine receptor D2, brain derived neurotrophic factor,
, and dopamine receptor D4 were recognized as hub genes among the reported ADHD genes. While, 17 transcription factors (TFs) were conveyed as the key TFs for these hub genes.
Functional enrichment analysis revealed regulation of dopamine and behavioral fear response pathways. These pathways have been assumed to play a central role in the ADHD within the selected candidate genes.
Functional enrichment analysis revealed regulation of dopamine and behavioral fear response pathways. These pathways have been assumed to play a central role in the ADHD within the selected candidate genes.
To explore the clinicopathologic features and differential diagnosis of breast primary mucinous cystadenocarcinoma (MCA).
Pathological characteristics and immunophenotype of one case of MCA were analyzed. Literature was reviewed.
Grossly, the area of the tumor cut surface was gelationous. link3 Microscopcally, the tumor was composed of variably sized cystic spaces lined by mucus-rich tumor cells with single columnar, stratified appearance and papillary formation. The degree of cytologic atypia varied from region to region. The tumor cells were positive for CK7, GATA3, negative for CK20, ER, PR and HER2. Most peripheral myoepithelial cells were negative for P63 and SMMHC.
MCA is a rare primary breast cancer and strikingly similar to ovarian, pancreatic and gastrointestinal counterparts. The diagnosis cannot be made until the metastatic lesion is ruled out. On the other hand, the biologic behavior of MCA is reportedly favorable despite a high proliferation index and triple negative biomarker status. Therefore, the role of adjuvant chemotherapy or radiation is questionable.
MCA is a rare primary breast cancer and strikingly similar to ovarian, pancreatic and gastrointestinal counterparts. The diagnosis cannot be made until the metastatic lesion is ruled out. On the other hand, the biologic behavior of MCA is reportedly favorable despite a high proliferation index and triple negative biomarker status. Therefore, the role of adjuvant chemotherapy or radiation is questionable.
Impulsivity and aberrant reward processing are the core features of substance use disorders, including alcoholism. The present study examined the effects of an Integrated Intervention Program for Alcoholism (IIPA) on impulsiveness and disadvantageous reward processing/risk-taking in persons with alcoholism.
The study adopted age- and education-matched (±1 year) randomized control design with the pre-post comparison. The sample comprised 50 persons with alcoholism. They were allotted randomly into two groups, the intervention (IIPA) group and treatment as usual (TAU) group (
= 25 in each). Participants were assessed at pre-intervention on impulsivity (Barratt's Impulsiveness Scale) and decision-making task, which reflects reward processing deficits (modified Iowa gambling task [mIGT]). The TAU group received usual treatment for alcoholism (i.e., pharmacotherapy; three sessions in a week group therapy on relapse prevention and six sessions in week yoga) for 18 days. The intervention group received IIPA along with usual treatment (except yoga).
