Polygenic Risk Score Added to Conventional Case Finding to Identify Undiagnosed Chronic Obstructive Pulmonary Disease.

Importance: Chronic obstructive pulmonary disease (COPD) is often undiagnosed. Although genetic risk plays a significant role in COPD susceptibility, its utility in guiding spirometry testing and identifying undiagnosed cases is unclear.

Objective: To determine whether a COPD polygenic risk score (PRS) enhances the identification of undiagnosed COPD beyond a case-finding questionnaire (eg, the Lung Function Questionnaire) using conventional risk factors and respiratory symptoms.

Ambiguity in robotic surgical instruction: lessons from remote and in-person simulation.

The rise of robotic surgery has been accompanied by numerous educational challenges as surgeons and trainees learn skills unique to the robotic platform. Remote instruction is a solution to provide surgeons ongoing education when in-person teaching is not feasible. However, surgical instruction faces challenges from unclear communication.

Prehospital buprenorphine in treating symptoms of opioid withdrawal - a descriptive review of the first 131 cases in San Francisco, CA.

Objectives: Opioid use disorder (OUD) remains a common cause of overdose and mortality in the United States. Emergency medical services (EMS) clinicians often interact with patients with OUD, including during or shortly after an overdose. The aim of this study was to describe the characteristics and outcomes of patients receiving prehospital buprenorphine for the treatment of opioid withdrawal in an urban EMS system.

Caring for Patients Seeking Asylum: Early Data From the Safety Net System in New York City.

Context: Over 200 000 people seeking asylum have arrived in New York City from 2022 to 2024.

Program: As the safety net hospital system for our city, New York City (NYC) Health + Hospitals (H + H) has taken the lead in caring for newly arrived asylum seekers. We used electronic medical record data to gain early insights into utilization and needs among these patients.

Computational deconvolution of cell type-specific gene expression in COPD and IPF lungs reveals disease severity associations.

Background: Chronic obstructive pulmonary disease (COPD) and idiopathic pulmonary fibrosis (IPF) are debilitating diseases associated with divergent histopathological changes in the lungs. At present, due to cost and technical limitations, profiling cell types is not practical in large epidemiology cohorts (n > 1000). Here, we used computational deconvolution to identify cell types in COPD and IPF lungs whose abundances and cell type-specific gene expression are associated with disease diagnosis and severity.