The prognostic value of neutrophil-to-lymphocyte ratio in patients with traumatic brain injury: A systematic review.

Traumatic brain injury (TBI) places a heavy load on healthcare systems worldwide. Despite significant advancements in care, the TBI-related mortality is 30-50% and in most cases involves adolescents or young adults. Previous literature has suggested that neutrophil-to-lymphocyte ratio (NLR) may serve as a sensitive biomarker in predicting clinical outcomes following TBI.

Vitamin D genetic risk scores in multiple sclerosis.

Background: Low serum 25(OH)D (vD) is an environmental risk factor for multiple sclerosis (MS). Lower vD levels during early disease may be associated with long-term disability. Determinants of serum vD levels in healthy individuals include supplementation behaviour and genetic factors.

Cerebral Fat Embolism After a Fall.

Background: Cerebral fat embolism is a rare diagnosis that can occur after significant long bone trauma. Most patients have evidence of pulmonary involvement, but this case involved a patient with a pure neurologic manifestation of a fat embolism.

Case Report: An 89-year-old woman presented to the emergency department as a transfer from an outside hospital with a diagnosis of air embolism after an episode of altered mental status and expressive aphasia.

Development of a cultural competency curriculum.

There has been increased focus on health disparities and how to address them (Baciu et al., 2017; National Institutes of Health, 2021; Williams et al., 2021).

External Validation of a Retinopathy of Prematurity Screening Model Using Artificial Intelligence in 3 Low- and Middle-Income Populations.

Importance: Retinopathy of prematurity (ROP) is a leading cause of preventable blindness that disproportionately affects children born in low- and middle-income countries (LMICs). In-person and telemedical screening examinations can reduce this risk but are challenging to implement in LMICs owing to the multitude of at-risk infants and lack of trained ophthalmologists.

Objective: To implement an ROP risk model using retinal images from a single baseline examination to identify infants who will develop treatment-requiring (TR)-ROP in LMIC telemedicine programs.

Financial Toxicity, Symptom Burden, Illness Perceptions, and Communication Confidence in Cancer Clinical Trial Participants.

Purpose: Cancer clinical trial (CCT) participants are at risk for experiencing adverse associations from financial toxicity, but these remain understudied.

Methods: From July 2015 to July 2017, we prospectively enrolled CCT participants referred for financial assistance and a group of patients matched by age, sex, cancer type, trial, and trial phase. We assessed financial burden of cancer care, cost concerns about CCTs, physical (Edmonton Symptom Assessment Scale [ESAS]) and psychologic (Patient Health Questionnaire-4 [PHQ-4]) symptoms, illness perceptions (Brief Illness Perception Questionnaire), and communication confidence (Perceived Efficacy in Patient-Physician Interactions).

Neoadjuvant chemoradiation alters the immune microenvironment in pancreatic ductal adenocarcinoma.

Patients with pancreatic ductal adenocarcinoma (PDAC) have a grim prognosis despite complete surgical resection and intense systemic therapies. While immunotherapies have been beneficial with many different types of solid tumors, they have almost uniformly failed in the treatment of PDAC. Understanding how therapies affect the tumor immune microenvironment (TIME) can provide insights for the development of strategies to treat PDAC.

Quantification of the Thoracic Aorta and Detection of Aneurysm at CT: Development and Validation of a Fully Automatic Methodology.

Purpose: To develop and validate a deep learning-based system that predicts the largest ascending and descending aortic diameters at chest CT through automatic thoracic aortic segmentation and identifies aneurysms in each segment.

Materials And Methods: In this retrospective study conducted from July 2019 to February 2021, a U-Net and a postprocessing algorithm for thoracic aortic segmentation and measurement were developed by using a dataset (dataset A) that included 315 CT studies split into training, hyperparameter-tuning, and testing sets. The U-Net and postprocessing algorithm were associated with a Digital Imaging and Communications in Medicine series filter and visualization interface and were further validated by using a dataset (dataset B) that included 1400 routine CT studies.

Federated Learning for Multicenter Collaboration in Ophthalmology: Implications for Clinical Diagnosis and Disease Epidemiology.

Objective: To utilize a deep learning (DL) model trained via federated learning (FL), a method of collaborative training without sharing patient data, to delineate institutional differences in clinician diagnostic paradigms and disease epidemiology in retinopathy of prematurity (ROP).

Design: Evaluation of a diagnostic test or technology.

Subjects And Controls: We included 5245 patients with wide-angle retinal imaging from the neonatal intensive care units of 7 institutions as part of the Imaging and Informatics in ROP study.

Federated Learning for Multicenter Collaboration in Ophthalmology: Improving Classification Performance in Retinopathy of Prematurity.

Objective: To compare the performance of deep learning classifiers for the diagnosis of plus disease in retinopathy of prematurity (ROP) trained using 2 methods for developing models on multi-institutional data sets: centralizing data versus federated learning (FL) in which no data leave each institution.

Design: Evaluation of a diagnostic test or technology.

Subjects: Deep learning models were trained, validated, and tested on 5255 wide-angle retinal images in the neonatal intensive care units of 7 institutions as part of the Imaging and Informatics in ROP study.

A Fully Automated Deep Learning Pipeline for Multi-Vertebral Level Quantification and Characterization of Muscle and Adipose Tissue on Chest CT Scans.

Body composition on chest CT scans encompasses a set of important imaging biomarkers. This study developed and validated a fully automated analysis pipeline for multi-vertebral level assessment of muscle and adipose tissue on routine chest CT scans. This study retrospectively trained two convolutional neural networks on 629 chest CT scans from 629 patients (55% women; mean age, 67 years ± 10 [standard deviation]) obtained between 2014 and 2017 prior to lobectomy for primary lung cancer at three institutions.

When Should Neuroendovascular Care for Patients With Acute Stroke Be Palliative?

Noncurative surgeries intended to relieve suffering during serious illness or near end of life have been analyzed across palliative settings. Yet sparse guidance is available to inform clinical management decisions about whether, when, and which interventions should be offered when ischemic stroke and other neurological complications occur in patients whose survival is extended by other novel disease-modifying interventions. This case commentary examines key ethical and clinical considerations in palliative neuroendovascular care of patients with acute stroke.

Single-Examination Risk Prediction of Severe Retinopathy of Prematurity.

Background And Objectives: Retinopathy of prematurity (ROP) is a leading cause of childhood blindness. Screening and treatment reduces this risk, but requires multiple examinations of infants, most of whom will not develop severe disease. Previous work has suggested that artificial intelligence may be able to detect incident severe disease (treatment-requiring retinopathy of prematurity [TR-ROP]) before clinical diagnosis.

A Scoping Review of Emergency Department Discharge Risk Stratification.

Introduction: Although emergency department (ED) discharge presents patient-safety challenges and opportunities, the ways in which EDs address discharge risk in the general ED population remains disparate and largely uncharacterized. In this study our goal was to conduct a review of how EDs identify and target patients at increased risk at time of discharge.

Methods: We conducted a literature search to explore how EDs assess patient risk upon discharge, including a review of PubMed and gray literature.

ARMADA: Assessing reliable measurement in Alzheimer's disease and cognitive aging project methods.

Introduction: Early detection of cognitive decline in older adults is a public health priority. Advancing Reliable Measurement in Alzheimer's Disease and Cognitive Aging (ARMADA), a multisite study, is validating cognition, emotion, motor, and sensory modules of the National Institutes of Health Toolbox for Assessment of Neurological and Behavioral Function (NIHTB) in the aging spectrum from cognitively normal to dementia of the Alzheimer's type (DAT).

Methods: Participants 65 to 85 years old, in demographic groups racially proportional to the general US population, are recruited in one of three groups to validate the NIHTB: cognitively normal, amnestic mild cognitive impairment (aMCI), or mild DAT.

Transitioning From In-Person to Remote Clinical Research on Depression and Traumatic Brain Injury During the COVID-19 Pandemic: Study Modifications and Preliminary Feasibility From a Randomized Controlled Pilot Study.

Background: Telehealth has provided many researchers, especially those conducting psychosocial research, with the tools necessary to transition from in-person to remote clinical trials during the COVID-19 pandemic. A growing body of research supports the effectiveness of telemental health for a variety of psychiatric conditions, but few studies have examined telemental health for individuals with comorbid medical diagnoses. Furthermore, little is known about the remote implementation of clinical trials examining telemental health interventions.

Artificial Intelligence has Similar Performance to Subjective Assessment of Emphysema Severity on Chest CT.

Rationale And Objectives: To compare an artificial intelligence (AI)-based prototype and subjective grading for predicting disease severity in patients with emphysema.

Methods: Our IRB approved HIPAA-compliant study included 113 adults (71±8 years; 47 females, 66 males) who had both non-contrast chest CT and pulmonary function tests performed within a span of 2 months. The disease severity was classified based on the forced expiratory volume in 1 second (FEV1 as % of predicted) into mild, moderate, and severe.

National Trends In ED Visits, Hospital Admissions, And Mortality For Medicare Patients During The COVID-19 Pandemic.

Concerns about avoidance or delays in seeking emergency care during the COVID-19 pandemic are widespread, but national data on emergency department (ED) visits and subsequent rates of hospitalization and outcomes are lacking. Using data on all traditional Medicare beneficiaries in the US from October 1, 2018, to September 30, 2020, we examined trends in ED visits and rates of hospitalization and thirty-day mortality conditional on an ED visit for non-COVID-19 conditions during several stages of the pandemic and for areas that were considered COVID-19 hot spots versus those that were not. We found reductions in ED visits that were largest by the first week of April 2020 (52 percent relative decrease), with volume recovering somewhat by mid-June (25 percent relative decrease).

Disparities in phase 1 cancer clinical trial enrollment.

Background: Phase 1 trials are increasingly important in the molecularly driven era of oncology, but few studies have examined phase 1 participation disparities. The authors of this study investigated factors associated with phase 1 versus phase 2/3 trial enrollment.

Methods: They authors conducted a cross-sectional study using serial samples of patients age ≥18 years enrolling on cancer trials from October 2011 to November 2014 at an academic cancer center.

A 1-year training program in emergency medicine for physicians in Karachi, Pakistan: Evaluation of learner and program outcomes.

Background: Pakistan has an underdeveloped and overburdened emergency care system, with most emergency departments (EDs) staffed by physicians not formally trained in emergency medicine (EM). As of January 2020, only nine Pakistani institutions were providing formal EM specialty training; therefore, a training program of shorter duration is needed in the interim.

Methods: The Certification Program in Emergency Medicine (CPEM) is a 1-year training program in EM consisting of two arms: CPEM-Clinical (CPEM-C), which includes physicians from The Indus Hospital (TIH) ED, and CPEM-Didactic (CPEM-D), including physicians from EDs across Karachi.

Therapeutic prediction of HIV-1 DNA decay: a multicenter longitudinal cohort study.

Background: Factors predicting peripheral blood total HIV-1 DNA size in chronically infected patients with successfully suppressed viremia remain unclear. Prognostic power of such factors are of clinical significance for making clinical decisions.

Methods: Two sets of study populations were included: 490 China AIDS Clinical Trial (CACT) participants (Training cohort, followed up for 144 to 288 weeks) and 117 outpatients from Peking Union Medical College Hospital (PUMCH) (Validation cohort, followed up for more than 96 weeks).

Telehealth use in emergency care during coronavirus disease 2019: a systematic review.

Objective: The coronavirus disease 2019 pandemic has presented emergency departments (EDs) with many challenges to address the acute care needs of patients. Many EDs have leveraged telehealth to innovatively respond to these challenges. This review describes the landscape of telehealth initiatives in emergency care that have been described during the coronavirus disease 2019 pandemic.