Impact on clinical guideline adherence of Orient-COVID, a clinical decision support system based on dynamic decision trees for COVID19 management: A randomized simulation trial with medical trainees.

Background: The adherence of clinicians to clinical practice guidelines is known to be low, including for the management of COVID-19, due to their difficult use at the point of care and their complexity. Clinical decision support systems have been proposed to implement guidelines and improve adherence. One approach is to permit the navigation inside the recommendations, presented as a decision tree, but the size of the tree often limits this approach and may cause erroneous navigation, especially when it does not fit in a single screen.

Prevalence of JAK 2 v617 Mutations in Malignant and Non-Malignant Tumors in the Eastern Province of the Kingdom of Saudi Arabia.

Background: Janus kinase II (JAK 2) mutation plays a critical part in the pathophysiology of myeloid pathologies and has been presented to be tangled in thrombotic obstacles of these sicknesses. This study documents the prevalence of JAK 2 v617 mutations in malignant and non-malignant tumors in the Eastern province of the Kingdom of Saudi Arabia.

Methods: A total of 112 patients were included in the current study between June 2022 and May 2023 at the Molecular Biology Laboratory of the King Fahad Hospital of the University, AlKhobar, Saudi Arabia.

Rheumatic manifestations and sequela of acute parvovirus B19 infection in hospitalized adult population.

Background: Parvovirus B19 infection has been associated with various clinical entities including musculoskeletal manifestations and the development of different autoimmune diseases. The aim of our study is to examine the musculoskeletal manifestations associated with acute parvovirus B19 infection and the possible development of chronic autoimmune rheumatic diseases.

Patients And Methods: Retrospective cohort study that included adult hospitalized patients diagnosed with an acute parvovirus B19 infection between 1 January 2021 and 1 February 2024.

Development of a coarse-grained molecular dynamics model for poly(dimethyl--diphenyl)siloxane.

Polydimethylsiloxane is an important polymeric material with a wide range of applications. However, environmental effects like low temperature can induce crystallization in this material with resulting changes in its structural and dynamic properties. The incorporation of phenyl-siloxane components, , as in a poly(dimethyl--diphenyl)siloxane random copolymer, is known to suppress such crystallization.