Psoriasis and psoriatic arthritis following use of dostarlimab for endometrial cancer.

Immune checkpoint inhibitors (ICIs) are associated with immune-related adverse events (irAEs), but psoriasis and psoriatic arthritis (PsA) after use of dostarlimab have not been reported. We present a woman who received dostarlimab for endometrial cancer and subsequently developed rash and polyarthralgia, diagnosed as overlapping palmoplantar pustular and plaque psoriasis with PsA. She was treated with discontinuation of dostarlimab, topical steroids, oral methylprednisolone and methotrexate.

Systemic sclerosis is associated with increased in-patient mortality in patients hospitalized for heart failure.

Aims: We aimed to analyse the characteristics and in-hospital outcomes of patients hospitalized for heart failure (HF) with co-morbid systemic sclerosis (SSc) and compare them to those without SSc, using data from the National Inpatient Sample from years 2016 to 2019.

Methods And Results: International Classification of Diseases, Tenth Revision diagnosis codes were used to identify hospitalized patients with a primary diagnosis of HF and secondary diagnoses of SSc from the National Inpatient Sample database from 2016 to 2019. Patients were divided into two groups: those with and without a secondary diagnosis of SSc.

Prediction of Liver Enzyme Elevation Using Supervised Machine Learning in Patients With Rheumatoid Arthritis on Treatment with Methotrexate.

Objective The aim of this study is to develop a machine learning (ML) model to accurately predict liver enzyme elevation in rheumatoid arthritis (RA) patients on treatment with methotrexate (MTX) using electronic health record (EHR) data from a real-world RA cohort. Methods Demographic, clinical, biochemical, and prescription information from 569 RA patients initiated on MTX were collected retrospectively. The primary outcome was the liver transaminase elevation above the upper limit of normal (40 IU/mL), following the initiation of MTX.

Artificial intelligence in rheumatoid arthritis: potential applications and future implications.

The widespread adoption of digital health records, coupled with the rise of advanced diagnostic testing, has resulted in an explosion of patient data, comparable in scope to genomic datasets. This vast information repository offers significant potential for improving patient outcomes and decision-making, provided one can extract meaningful insights from it. This is where artificial intelligence (AI) tools like machine learning (ML) and deep learning come into play, helping us leverage these enormous datasets to predict outcomes and make informed decisions.

Assessing Anticoagulation Management and Shared Decision-Making Documentation From Providers Participating in the SUPPORT-AF II Study.

Background: A previously tested intervention featured educational outreach with modified academic detailing (AD) to increase anticoagulation use in patients with atrial fibrillation. Currently, this study compares providers receiving and not receiving AD in terms of inclusion of AD educational topics and shared decision-making elements in documentation.

Methods: Physicians reviewed themes discussed with providers during AD and evaluated charts for evidence of shared decision-making.