Arthritis Care & Research最新文献

Objective: The objectives were to determine the prevalence of meeting criteria for symptoms suggestive of early osteoarthritis (OA) after anterior cruciate ligament reconstruction (ACLR) and to characterize the longitudinal changes in these symptoms during the first two years post-ACLR.

Methods: We analyzed data from 10,231 patients aged 14 to 40 years in the New Zealand ACL Registry who completed the Knee Injury and Osteoarthritis Outcome Score (KOOS) at 6, 12, and 24 months post-ACLR. Symptoms suggestive of early OA were defined as scoring ≤85% on at least two of four KOOS subscales. Longitudinal patterns of change were categorized as persistent, resolution, new, inconsistent, or no symptoms across the three visits. Prevalence and odds ratios (ORs) of symptoms were compared across visits, sex, and age groups using generalized estimating equations, and longitudinal patterns of symptom change were analyzed using multinomial logistic regression.

Results: Prevalence of meeting criteria of symptoms suggestive of early OA was 68% at 6 months, 54% at 12 months, and 46% at 24 months post-ACLR. Longitudinally, 33% had persistent symptoms, 23% had no symptoms, 29% showed symptom resolution, 6% developed new symptoms, and 9% had inconsistent symptoms. Women consistently showed higher odds of symptoms (OR range 1.17-1.52). Older age groups demonstrated higher odds of symptoms, particularly at 6 months (OR range 1.64-2.45).

Conclusion: Symptoms suggestive of early OA are highly prevalent within two years post-ACLR, with one third of patients experiencing persistent symptoms. These findings indicate that symptoms are more likely to persist rather than newly develop, emphasizing the importance of early identification and targeted interventions.

Objective: This study aimed to identify modifiable determinants of self-management behavior in patients with gout.

Methods: Four databases (Medline, Embase, PsycINFO, and CINAHL) were searched using terms related to gout, self-management, and determinants of behavior as described in the Theoretical Domains Framework (TDF). Two reviewers independently selected relevant studies via screening of title/abstract and full text. Thematic synthesis was performed for qualitative data; quantitative data were summarized using cross-tabulation displaying the investigated associations of determinants with self-management behavior. The TDF facilitated identification and grouping of determinants.

Results: From 2,087 unique articles found, 56 studies were included in this review, of which there were 27 qualitative and 29 quantitative studies. Eight themes were identified: knowledge and skills for self-management, acceptance of disease, beliefs about necessity of self-management to improve gout-related health, resistance and reluctance for medication adherence and dietary alteration/changes, negative emotions influencing self-management, social support and interactions, environmental context, and self-regulation of behavior. Quantitative determinants associated with self-management behavior, predominantly medication adherence, were mapped to 12 of the 14 domains of the TDF. No determinants regarding skills and goals have been identified in quantitative research.

Conclusion: Intervention targets for self-management behavior in patients with gout mainly included determinants related to knowledge, implicit and explicit beliefs and attitudes, the environmental context and resources, and (social) support and reinforcement.

Objective: Many adolescent patients view their rheumatologist as their primary physician, and therefore it is important to screen youth for sexual activity and substance use as recommended by the American Academy of Pediatrics. We implemented an electronic social history questionnaire (SHQ) and alert system to identify at-risk behaviors in adolescents with rheumatic disease.

Methods: The SHQ was administered to adolescents 14 years and older with a goal to survey patients' sexual activity and alcohol, tobacco, and drug use. The SHQ was given via tablet at each rheumatology outpatient visit. A positive response triggered a best practice advisory (BPA) alert when the chart was opened to remind the clinician to discuss these results privately.

Results: A total of 877 unique patients were surveyed. Ninety patients (12%) reported being sexually active, and sexually active patients were significantly older than those who were not (17.2 vs 15 years; P < 0.001). Seventy-two percent of patients were female, and the mean age was 15.8 years. Sexually active patients were more likely to be smokers, to drink alcohol, and to use other drugs (P < 0.001). Strong associations were observed between alcohol use and male sex (P = 0.0227), White race (P = 0.0052), and public insurance (P = 0.0021).

Conclusion: Overall, 12% of patients reported being sexually active, underscoring the need to screen adolescents for sexual activity given many rheumatology patients take teratogenic medication. A smaller proportion used substances. Implementing an electronic medical record-based SHQ can help identify patients most at risk, and the BPA serves as a useful tool to remind clinicians to discuss the SHQ privately.

Objective: We wanted to determine if higher compliance with American College of Sports Medicine (ACSM) exercise prescription guidelines influences exercise outcomes in knee osteoarthritis (OA).

Methods: We conducted a systematic review. We searched the Cochrane Central Register of Controlled Trials, MEDLINE, and Embase up to January 4, 2024, for randomized controlled trials evaluating resistance and/or aerobic exercise for knee OA. Interventions were classified as higher compliance (meeting ≥60% of ACSM guideline recommendations for frequency, intensity, and duration) or lower compliance (meeting <60% of recommendations). Effects on pain and function were evaluated via meta-analysis, stratified by compliance.

Results: Twenty-five trials (3,290 participants) evaluated combined resistance and aerobic programs, with no differences in outcomes between those with higher and lower compliance (standardized mean difference [SMD] pain: -0.38 [95% confidence interval (CI) -0.59 to -0.17] vs -0.31 [95% CI -0.45 to -0.16], respectively; SMD function: -0.43 [95% CI -0.64 to -0.21] vs -0.36 [95% CI -0.58 to -0.14]). Sixty-six trials (5,231 participants) evaluated resistance exercise, with no differences between interventions with higher and lower compliance (SMD pain: -0.60 [95% CI -0.81 to -0.39] vs -0.93 [95% CI -1.27 to -0.59]; SMD function: -0.64 [95% CI -0.83 to -0.44] vs -0.85 [95% CI -1.20 to -0.49]). Twelve trials (958 participants) evaluated aerobic exercise, with no differences between interventions with higher and lower compliance (SMD pain: -0.79 [95% CI -1.20 to -0.38] vs -1.00 [95% CI -2.52 to 0.53]; SMD function: -0.83 [95% CI -1.27 to -0.38] vs -0.76 [95% CI -2.02 to 0.50]).

Conclusion: Higher or lower compliance with ACSM exercise prescription guidelines did not influence exercise outcomes. Given there was substantial heterogeneity and many publications were at risk of bias, our results should be interpreted with caution.

Objective: We aimed to characterize presentation and care pathways of patients with systemic lupus erythematosus (SLE), and delays in access to SLE-specialized care.

Methods: We included patients with incident SLE from the Lupus Midwest Network registry. Time from the first medical encounter for SLE clinical manifestation to access to SLE-specialized care, physician diagnosis, and treatment was estimated. Delays were defined as ≥6 months to access specialized care. We compared SLE manifestations, disease activity, and Systemic Lupus International Collaborating Clinics/American College of Rheumatology damage indexes (SDI) between patients with and without delays. Logistic regression models assessed associations with delays.

Results: The study included 373 patients with SLE. The median time to access SLE-specialized care was 1.1 (95% confidence interval [CI] 0.9-1.5) months, time to diagnosis was 30.6 (95% CI 18.9-48.1) months, and time to treatment initiation was 4.7 (95% CI 3.9-8.4) months. Approximately 25% of patients (93 out of 373) experienced delays accessing specialized care, which were associated with fewer SLE manifestations at first SLE-related encounter (fewer than two SLE domains; 92% vs 72%, P < 0.001). Patients with mucocutaneous or musculoskeletal manifestations were less likely to experience delays, whereas hematologic (odds ratio [OR] 1.71, 95% CI 1.03-2.84) or antiphospholipid antibodies domains (OR 6.05, 95% CI 2.46-14.88) were associated with delays. Delays were associated with damage at first access to SLE-specialized care (SDI ≥1; 30% vs 7%, P < 0.001).

Conclusion: Patients follow a heterogeneous pathway to receive care. One-fourth of patients experienced delays accessing SLE-specialized care, which was associated with disease-related damage. Fewer manifestations, hematologic manifestations, or antiphospholipid antibodies were associated with delays.

Objective: We aimed to estimate the burden and identify potential correlates of limitations in activities of daily living (ADLs) among persons with systemic lupus erythematosus (SLE).

Methods: Individuals with SLE were recruited from a population-based cohort (October 2019 to May 2022) and reported their ability to independently perform various instrumental ADLs (IADLs) and basic ADLs (BADLs) via survey. Limitations were defined as having at least some difficulty performing at least one of the IADLs or BADLs. Descriptive statistics were calculated, and associations (adjusted odds ratios [aORs]) of various participant characteristics with IADL and BADL limitations were assessed with logistic regression adjusting for age, sex, and race.

Results: The mean age of the 436 participants was 46.2 years; most were female (91.7%) and Black (82.8%). More than half (56.2%) reported limitations in IADLs, most commonly housekeeping (50.7%), laundry (37.2%), and shopping (33.0%); 43.8% reported limitations in independently performing BADLs, most commonly transferring (26.6%), bathing (25.3%), dressing (24.4%), and continence (22.0%). Higher disease activity (greater than or equal to vs less than the median) was strongly associated with IADLs (aOR 6.49, 95% confidence interval [CI] 4.15-10.2) and BADLs (aOR 7.35, 95% CI 4.70-11.5), along with higher depression and perceived stress scores, lower educational attainment and income, and older age.

Conclusion: IADL and BADL limitations may be common in individuals with SLE and more prevalent among those who report higher disease activity, depressive symptoms, and lower income and among those who are older. Research to support evidence-based strategies for improvement in quality of life and maintenance of independence in the older SLE population is warranted.

Objective: The physician global assessment of disease activity (PhGA) is a tool used nearly ubiquitously by pediatric rheumatologists for the assessment of patient disease activity status. However, this tool lacks standardization in its scoring. This survey aimed to identify score influencing factors, along with inclusion or exclusion of extra-articular manifestations and imaging, when scoring the PhGA in juvenile idiopathic arthritis (JIA).

Methods: Electronic surveys were sent to Paediatric Rheumatology International Trials Organisation and Pediatric Rheumatology Care and Outcomes Improvement Network members who completed a previous survey on scoring of the PhGA. Respondents were asked to rank their top seven factors for inclusion in the PhGA for nonsystemic JIA (nsJIA) and systemic JIA (sJIA), along with ranking extra-articular manifestations and imaging for inclusion. Frequency and percentage of rank and Likert responses were analyzed, and geographic regions as well as level of experience were compared using the chi-square test and Fisher's test.

Results: A total of 276 respondents from 54 countries and six continents participated. For nsJIA, factors selected by >50% included number of swollen joints, active uveitis, duration of morning stiffness, and number of tender joints. For sJIA, factors selected by >50% were presence and duration of fever, laboratory tests, number of swollen joints, serositis, rash, hepatomegaly, lung disease, and lymphadenopathy. Agreement on the inclusion of extra-articular factors, such as uveitis, macrophage activation syndrome, and sJIA-associated lung disease, had >70% moderate or strong agreement for inclusion, whereas psoriasis had only 50.5% agreement for inclusion and imaging had 64.7% agreement for inclusion. Variations in rank between different geographic regions or level of experience were minor.

Conclusion: This survey identifies factors that pediatric rheumatology providers find important for PhGA scoring of disease activity, documents varying agreement on inclusion of extra-articular manifestations of disease, and lays the framework for further consensus work.