Results 221 to 230 of about 1,631,497 (414)
Objective Targeted synthetic disease‐modifying antirheumatic drugs (tsDMARDs) have expanded the management of autoimmune diseases, including rheumatic diseases. As the use of these drugs grows, it is important to understand their effects on pregnancy.
Vienna Cheng+7 more
wiley +1 more source
Objective Fibromyalgia is a chronic condition characterized by widespread musculoskeletal pain and fatigue. Almost everyone with fibromyalgia has sleep problems. We aimed to evaluate the effectiveness and safety of current interventions for the management of fibromyalgia‐related sleep problems.
Jemma Hudson+11 more
wiley +1 more source
IDENTIFICATION OF PSYCHOSOCIAL RISK FACTOR ASSOCIATED WITH SUBSEQUENT CHILD ABUSE AND NEGLECT IN FAMILIES WITH INFANTS IN A NEWBORN INTENSIVE CARE UNIT [PDF]
Rosemary S. Hunter+3 more
openalex +1 more source
Objective The aim of this study was to apply sequence analysis (SA) to phenotype health care patterns of adult patients with musculoskeletal (MSK) conditions using primary care electronic health records and to investigate the association between these health care patterns and patients’ self‐reported outcomes after consultation.
Smitha Mathew+6 more
wiley +1 more source
COMPLICATIONS OF OPEN SURGICAL TRACHEOSTOMIES AND THEIR MANAGEMENT - OUR EXPERIENCE
Objective: To justify the role of open surgical tracheotomy in patients admitted in surgical or medical intensive care units for ventilator support or secretion management. Study Design: A descriptive study.
Zeba Ahmed+3 more
doaj
Objective Promoting Resilience in Stress Management (PRISM) is a resilience coaching program designed for adolescents with chronic illness. We aimed to examine the perceived feasibility, acceptability, and appropriateness of PRISM among pediatric rheumatologists treating adolescents with chronic musculoskeletal pain and obtain recommendations for ...
Sabrina Gmuca+9 more
wiley +1 more source
Machine Learning-Based Prediction of ICU Mortality in Sepsis-Associated Acute Kidney Injury Patients Using MIMIC-IV Database with Validation from eICU Database [PDF]
Background: Sepsis-Associated Acute Kidney Injury (SA-AKI) leads to high mortality in intensive care. This study develops machine learning models using the Medical Information Mart for Intensive Care IV (MIMIC-IV) database to predict Intensive Care Unit (ICU) mortality in SA-AKI patients.
arxiv