Obsessive-Compulsive Disorder in Primary Care: Overview on Diagnosis and Management

Background: Obsessive-Compulsive Disorder (OCD) is a debilitating condition marked by the presence of intrusive obsessions and repetitive compulsions. The primary care setting often serves as the first line of contact for individuals grappling with mental health issues, making it a crucial frontier in the early detection and management of OCD. Therefore, the accurate diagnosis of OCD in such settings is essential for effective management. Objective: This review article aims to provide a comprehensive overview of the diagnostic process for OCD, emphasizing the clinical presentation, differential diagnosis, and various diagnostic tools available. Additionally, it explores current strategies for managing OCD, including pharmacological and psychotherapeutic interventions. Methodology: For this review, a comprehensive literature search was conducted using Google Scholar and PubMed databases. Keywords such as "Diagnosis," "obsessive compulsive disorder," and "management" were employed to narrow down relevant studies. Both qualitative and quantitative research papers were included, while non-English publications and those lacking peer-review were excluded. Results: Core symptoms of OCD include obsessions and compulsions, with the Y-BOCS being a standard measure for diagnosis. Differential diagnosis is essential to distinguish OCD from other conditions. SSRIs have been recognized as first-line pharmacological treatments. CBT, particularly Exposure and Response Prevention, remains a potent psychotherapeutic intervention. Emerging treatments like DBS and TMS offer hope for those unresponsive to conventional treatments. Combination therapies have shown enhanced efficacy in certain cases. Conclusion: The meticulous diagnosis of OCD requires recognizing its core symptoms, ruling out other conditions, and leveraging validated clinical tools. A multi-faceted management approach combining pharmacological and psychological treatments ensures optimal patient outcomes, with ongoing research introducing promising new interventions

Mapping 123 million neonatal, infant and child deaths between 2000 and 2017

Since 2000, many countries have achieved considerable success in improving child survival, but localized progress remains unclear. To inform efforts towards United Nations Sustainable Development Goal 3.2—to end preventable child deaths by 2030—we need consistently estimated data at the subnational level regarding child mortality rates and trends. Here we quantified, for the period 2000–2017, the subnational variation in mortality rates and number of deaths of neonates, infants and children under 5 years of age within 99 low- and middle-income countries using a geostatistical survival model. We estimated that 32% of children under 5 in these countries lived in districts that had attained rates of 25 or fewer child deaths per 1,000 live births by 2017, and that 58% of child deaths between 2000 and 2017 in these countries could have been averted in the absence of geographical inequality. This study enables the identification of high-mortality clusters, patterns of progress and geographical inequalities to inform appropriate investments and implementations that will help to improve the health of all populations

SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study

Background: Preoperative SARS-CoV-2 vaccination could support safer elective surgery. Vaccine numbers are limited so this study aimed to inform their prioritization by modelling. Methods: The primary outcome was the number needed to vaccinate (NNV) to prevent one COVID-19-related death in 1 year. NNVs were based on postoperative SARS-CoV-2 rates and mortality in an international cohort study (surgical patients), and community SARS-CoV-2 incidence and case fatality data (general population). NNV estimates were stratified by age (18-49, 50-69, 70 or more years) and type of surgery. Best- and worst-case scenarios were used to describe uncertainty. Results: NNVs were more favourable in surgical patients than the general population. The most favourable NNVs were in patients aged 70 years or more needing cancer surgery (351; best case 196, worst case 816) or non-cancer surgery (733; best case 407, worst case 1664). Both exceeded the NNV in the general population (1840; best case 1196, worst case 3066). NNVs for surgical patients remained favourable at a range of SARS-CoV-2 incidence rates in sensitivity analysis modelling. Globally, prioritizing preoperative vaccination of patients needing elective surgery ahead of the general population could prevent an additional 58 687 (best case 115 007, worst case 20 177) COVID-19-related deaths in 1 year. Conclusion: As global roll out of SARS-CoV-2 vaccination proceeds, patients needing elective surgery should be prioritized ahead of the general population