Predicting Discharge Destination from Inpatient Rehabilitation Using Machine Learning.

Predicting discharge destination for patients at inpatient rehabilitation facilities is important as it facilitates transitions of care and can improve healthcare resource utilization. This study aims to build on previous studies investigating discharges from inpatient rehabilitation by employing machine learning models to predict discharge disposition to home versus non-home and explore related factors. Fifteen machine learning models were tested.

Colorectal cancer screening based on predicted risk: a randomized controlled trial.

Introduction: Colorectal cancer (CRC) screening relies primarily on colonoscopy and fecal immunochemical testing (FIT). Aligning utilization of these options with individual CRC risk may optimize benefit with lower risks, individual burden, and societal costs. We studied the effect of communicating personalized CRC risk and corresponding screening recommendations on risk-appropriate screening uptake in an organized screening setting.

Citizen Worry and Adherence in Response to Government Restrictions in Switzerland During the COVID-19 Pandemic: Repeated Cross-Sectional Online Surveys.

Background: Good communication between health authorities and citizens is crucial for adherence to preventive measures during a pandemic. Crisis communication often appeals to worries about negative consequences for oneself or others. While worry can motivate protective behavior, it can also be overwhelming and lead to irrational choices or become a mental health problem.

β3-Adrenergic receptor antagonism improves cardiac and vascular functions but did not modulate survival in a murine resuscitated septic shock model.

Background: Recent findings suggest that β3-adrenergic receptors (β3-AR) could play a role in the hemodynamic regulation, but their function in septic shock remains unclear. This study investigates the modulation of β3-AR in an experimental murine model of resuscitated septic shock on in vivo hemodynamic, ex vivo vasoreactivity, inflammation and survival.

Method: Wild-type mice were used, undergoing cecal ligation and puncture (CLP) to induce septic shock, with SHAM as controls.

Widespread gene-environment interactions shape the immune response to SARS-CoV-2 infection in hospitalized COVID-19 patients.

Genome-wide association studies performed in patients with coronavirus disease 2019 (COVID-19) have uncovered various loci significantly associated with susceptibility to SARS-CoV-2 infection and COVID-19 disease severity. However, the underlying -regulatory genetic factors that contribute to heterogeneity in the response to SARS-CoV-2 infection and their impact on clinical phenotypes remain enigmatic. Here, we used single-cell RNA-sequencing to quantify genetic contributions to -regulatory variation in 361,119 peripheral blood mononuclear cells across 63 COVID-19 patients during acute infection, 39 samples collected in the convalescent phase, and 106 healthy controls.