Sex-specific differences in pain localization in female patients with endometriosis: A comparison of sexless and female human body outlines.

Background: This study explores sex-specific differences in pain localization using pain drawings in female patients with endometriosis. Traditional human body outlines (HBOs) used for pain drawings are often viewed as male, making accurate pain assessment difficult. The study aims to compare pain localization and extent between patients presented with sexless and female HBOs.

A diagnostic support system based on pain drawings: binary and k-disease classification of EDS, GBS, FSHD, PROMM, and a control group with Pain2D.

Background And Objective: The diagnosis of rare diseases (RDs) is often challenging due to their rarity, variability and the high number of individual RDs, resulting in a delay in diagnosis with adverse effects for patients and healthcare systems. The development of computer assisted diagnostic decision support systems could help to improve these problems by supporting differential diagnosis and by prompting physicians to initiate the right diagnostic tests. Towards this end, we developed, trained and tested a machine learning model implemented as part of the software called Pain2D to classify four rare diseases (EDS, GBS, FSHD and PROMM), as well as a control group of unspecific chronic pain, from pen-and-paper pain drawings filled in by patients.

Risk to Radiology Staff for Occupational COVID-19 Infection in a High-Risk and a Low-Risk Region in Germany: Lessons from the "First Wave".

Purpose: The recent COVID-19 pandemic has resulted in an increasing overload of the medical system. Healthcare workers (HCW) in radiology departments are exposed to a high infection risk similar to HCWs in the ICU or dedicated COVID wards. The goal of our paper is to evaluate the prevalence of IgG antibody against SARS-CoV-2 among radiology HCWs in two different hospitals and regions in Germany with a low and high COVID-19 prevalence and to compare it to the prevalence in other clinical personnel.

[SARS-CoV-2 antibodies in ICU and clinic staff : From Germany's region with the highest infection rate].

Background: Healthcare workers are a high-risk population for SARS-CoV‑2 infection. For capacity planning of healthcare providers and to optimize protection of healthcare workers (HCW) in SARS-CoV‑2 pandemics, it is essential to know the risk of infection and potential immunity status of staff dealing with COVID-19 patients.

Materials And Methods: We examined seropravalence of SARS-CoV‑2 IgM/IgG antibodies (AB) in HCW of a region with the highest rate of infection (1570/100,000) during COVID-19 pandemic in Germany, 4 months after its start.

Pain drawings as a diagnostic tool for the differentiation between two pain-associated rare diseases (Ehlers-Danlos-Syndrome, Guillain-Barré-Syndrome).

Background: The diagnosis of rare diseases poses a particular challenge to clinicians. This study analyzes whether patients' pain drawings (PDs) help in the differentiation of two pain-associated rare diseases, Ehlers-Danlos Syndrome (EDS) and Guillain-Barré Syndrome (GBS).

Method: The study was designed as a prospective, observational, single-center study.