Results 141 to 150 of about 1,178,175 (199)

Self-reported problems in medication self-management in older polymedicated patients in general practice. [PDF]

open access: yesFront Public Health
Luegering A   +9 more
europepmc   +1 more source

Anorectal Dysfunction in Systemic Sclerosis: Clinical Phenotypes and Functional Patterns

open access: yesArthritis Care &Research, EarlyView.
Objective The aim of this study was to characterize specific physiologic defects in anorectal dysfunction in systemic sclerosis (SSc) using anorectal manometry (ARM), evaluate associations with gastrointestinal (GI) and extraintestinal clinical phenotypes, and explore potential serologic markers for risk stratification.
Timothy Kaniecki   +6 more
wiley   +1 more source

Application of mind mapping in maintenance hemodialysis patients

open access: yesHuli yanjiu, 2023
ZHANG Yu, YAO Miaomiao, WANG Hui
doaj  

Frailty Predicts Incident Osteoporotic Fractures in Veterans with Rheumatoid Arthritis

open access: yesArthritis Care &Research, EarlyView.
Objective Rheumatoid arthritis (RA) is associated with an increased risk of frailty and osteoporosis, but the relationship between frailty and incident osteoporotic fractures in RA is underexplored. Methods Data were from the Veterans Affairs (VA) Rheumatoid Arthritis Registry. Frailty was measured using the VA Frailty Index (VAFI).
Katherine D. Wysham   +14 more
wiley   +1 more source

Influence of health education based on LEARNS model on patients with chronic kidney disease

open access: yesHuli yanjiu, 2023
GAO Miaomiao   +5 more
doaj  

Determinants of Body Mass Index in Early Systemic Sclerosis: Implications for Nutritional Risk Stratification

open access: yesArthritis Care &Research, EarlyView.
Objective Gastrointestinal (GI) involvement can lead to malnutrition in patients with systemic sclerosis (SSc). Body mass index (BMI) remains the most widely used marker to screen nutritional status. We aimed to identify predictors of lower BMI in patients with SSc. Methods Patients with SSc from a prospective US cohort meeting 2013 American College of
Ali Y. Ayla   +8 more
wiley   +1 more source

Engagement Patterns With an Artificial Intelligence Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

open access: yesArthritis Care &Research, EarlyView.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah   +4 more
wiley   +1 more source

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