Treatments for Long COVID autonomic dysfunction: a scoping review.

Purpose: For Long COVID autonomic dysfunction, we have summarized published evidence on treatment effectiveness, clinical practice guidelines, and unpublished/ongoing studies.

Methods: We first interviewed 11 stakeholders (clinicians, clinician/researchers, payors, patient advocates) to gain clinical insights and identify key areas of focus. We searched Embase, CINAHL, Medline, PsycINFO, and PubMed databases for relevant English-language articles published between 1 January 2020 and 30 April 2024.

A Critical Combination of Esophageal Rupture and Upside-down Stomach: A Case Report.

Introduction: Spontaneous esophageal rupture, or Boerhaave syndrome, and upside-down stomach are rare pathologies associated with grave sequelae. Boerhaave syndrome can have a mortality rate as high as 44%. Upside-down stomach accounts for less than 5% of hiatal hernias and can lead to incarceration and volvulus.

The Impact of Health Care Algorithms on Racial and Ethnic Disparities : A Systematic Review.

Background: There is increasing concern for the potential impact of health care algorithms on racial and ethnic disparities.

Purpose: To examine the evidence on how health care algorithms and associated mitigation strategies affect racial and ethnic disparities.

Data Sources: Several databases were searched for relevant studies published from 1 January 2011 to 30 September 2023.

Evidence for Rho-dependent control of a virulence switch in .

is a significant cause of infections in the healthcare setting. More recently, has been a leading cause of secondary bacterial pneumonia in patients infected with SARS-CoV-2 and the overall frequency of infection increased 78% during the COVID-19 pandemic. can exist in virulent or avirulent subpopulations and this interconversion is mediated by the expression of a family of TetR-type transcriptional regulators.

Critical Appraisal for Racial and Ethnic Equity in Clinical Prediction Models Extension: Development of a Critical Appraisal Tool Extension to Assess Racial and Ethnic Equity-Related Risk of Bias for Clinical Prediction Models.

Introduction: Despite mounting evidence that the inclusion of race and ethnicity in clinical prediction models may contribute to health disparities, existing critical appraisal tools do not directly address such equity considerations.

Objective: This study developed a critical appraisal tool extension to assess algorithmic bias in clinical prediction models.

Methods: A modified e-Delphi approach was utilized to develop and obtain expert consensus on a set of racial and ethnic equity-based signaling questions for appraisal of risk of bias in clinical prediction models.