Sociodemographic factors as determinants of disease, disability and quality of life trajectories in early rheumatoid arthritis: A multi-ethnic inception cohort study

Health utility of patients with established rheumatoid arthritis and its influencing factors: a multi-center study in China

To assess the health utility value (HUV) of Rheumatoid Arthritis (RA) patients and its influencing factors in China. A cross-sectional survey was conducted in 8 tertiary hospitals across four capital-cities. The demographic characteristics, patient-reported outcomes including the HUV got by EQ-5D-5L, clinical characteristics, and clinician-reported outcomes of 171 RA patients were collected both from themselves and their physicians. Both the univariate and multivariate analyses were used to assess the potential factors of EQ-5D-5L HUV of the patients. The mean age of the patients was 50.7 years, with female being 64.9% (n = 111). The mean HUV and EQ visual analogue scale score of all patients were 0.586 and 47.3, respectively. The univariate analysis showed that the patients who were female, older, living in rural areas, with lower education level, advanced disease stage, higher the patient's assessment of arthritis pain visual analogue scale (PtAAP-VAS), the patient's global assessment of disease activity visual analogue scale (PtGADA-VAS), and the Physician's global assessment of disease activity visual analogue scale (PhGADA-VAS) scores had significantly lower EQ-5D-5L HUVs. The multivariate analysis further suggested that older age, female, higher body mass index and higher PtGADA-VAS score were statistically significantly related to lower HUVs. The study provided the HUVs for RA patients with different characteristics and outcomes, which could be used in the economic evaluation of interventions for the RA patients. The identified factors could also assist the health care managing and improving the health-related quality of life on RA patients.

Examining Rehabilitation Dose in Adults With Rheumatoid Arthritis: Association With Baseline Factors and Change in Clinical Outcomes

OBJECTIVE

To evaluate the association of baseline factors with rehabilitation dose and the association of rehabilitation dose with meaningful change in physical function, pain, and fatigue over 6 months among adults with rheumatoid arthritis (RA).

METHODS

Using data from the National Databank for Rheumatic Diseases registry, we extracted baseline characteristics and self-reported physical function (Health Assessment Questionnaire), pain (visual analog scale [VAS]), fatigue (VAS), rehabilitation dose (low: 1-2 visits, medium: 3-8 visits, high: >8 visits), and follow-up outcomes 6 months later. Changes in clinical outcomes were categorized as improved, no change, or worsened. We calculated odds ratios (ORs) and 95% confidence intervals (95% CIs) using proportional odds logistic regression models to examine the association of the baseline factors with rehabilitation dose and the association of rehabilitation dose with changes in clinical outcomes, adjusting for potential confounders.

RESULTS

The sample included 1,381 adults with a new episode of rehabilitation (dose: low 27%, medium 42%, high 31%). Worse baseline physical function (adjusted OR 1.29 [95% CI 1.04-1.60]), but not pain (adjusted OR 1.04 [95% CI 0.99-1.10]) or fatigue (adjusted OR 0.98 [95% CI 0.93-1.03]), were associated with a higher rehabilitation dose. A high rehabilitation dose was associated with a favorable change in physical function (OR 1.51 [95% CI 1.14-1.98]), pain (OR 1.44 [95% CI 1.06-1.96]), and fatigue (OR 1.45 [95% CI 1.06-1.99]) compared to a low dose; only the association with physical function change persisted in adjusted models (adjusted OR 1.41 [95% CI 1.03-1.92]).

CONCLUSION

Using real-world data, this study supports a higher rehabilitation dose to improve physical function in adults with RA.

Mapping health assessment questionnaire disability index onto EQ-5D-5L in China

Objective

This research aimed to develop the more accurate mapping algorithms from health assessment questionnaire disability index (HAQ-DI) onto EQ-5D-5L based on Chinese Rheumatoid Arthritis patients.

Methods

The cross-sectional data of Chinese RA patients from 8 tertiary hospitals across four provincial capitals was used for constructing the mapping algorithms. Direct mapping using Ordinary least squares regression (OLS), the general linear regression model (GLM), MM-estimator model (MM), Tobit regression model (Tobit), Beta regression model (Beta) and the adjusted limited dependent variable mixture model (ALDVMM) and response mapping using Multivariate Ordered Probit regression model (MV-Probit) were carried out. HAQ-DI score, age, gender, BMI, DAS28-ESR and PtAAP were included as the explanatory variables. The bootstrap was used for validation of mapping algorithms. The average ranking of mean absolute error (MAE), root mean square error (RMSE), adjusted R ² (adjR ²) and concordance correlation coefficient (CCC) were used to assess the predictive ability of the mapping algorithms.

Results

According to the average ranking of MAE, RMSE, adjR ², and CCC, the mapping algorithm based on Beta performed the best. The mapping algorithm would perform better as the number of variables increasing.

Conclusion

The mapping algorithms provided in this research can help researchers to obtain the health utility values more accurately. Researchers can choose the mapping algorithms under different combinations of variables based on the actual data.

Physical and Mental Health-Related Quality of Life Trajectories Among People With Multiple Sclerosis

BACKGROUND AND OBJECTIVES

Most studies of health-related quality of life (HRQoL) in multiple sclerosis (MS) have been cross-sectional. The few longitudinal studies have not accounted for potential heterogeneity in HRQOL trajectories. There may be groups of individuals with common physical or mental HRQoL trajectories over time. Identification of early risk factors for membership in trajectories with poor HRQoL would inform on those at risk. We aimed to identify physical and mental HRQoL trajectories among people with MS and early risk factors for membership in the trajectory groups with the worst HRQoL.

METHODS

Between 2004 and 2020, we queried NARCOMS participants regarding HRQoL using the RAND-12, demographics, fatigue, and physical impairments (using the Patient-Determined Disease Steps scale). We included participants who were enrolled in the NARCOMS registry within 3 years of MS diagnosis, lived in the United States, reported physician-confirmed MS, and had ≥3 HRQoL observations. We used group-based trajectory modeling to determine whether there were distinct clusters of individuals who followed similar HRQoL trajectories over time. We evaluated whether baseline participant characteristics associated with the probability of trajectory group membership using a multinomial logit model.

RESULTS

We included 4,888 participants who completed 57,564 HRQoL questionnaires between 1 and 27 years after MS diagnosis. Participants had a mean (SD) age of 41.7 (9.5) years at diagnosis, and 3,978 participants (81%) were women. We identified 5 distinct physical HRQoL trajectories and 4 distinct mental HRQoL trajectories. Older age at diagnosis, worse physical impairments, and worse fatigue were associated with an increased odds of being in the group with the worst physical HRQoL when compared with being in the other 4 groups. Income ≤$50,000 and no postsecondary education were associated with an increased odds of membership in the group with the lowest mental HRQoL when compared with that in the other 3 groups.

DISCUSSION

We identified groups of people with MS who reported similar physical and mental HRQoL trajectories over time. There are early risk factors for membership in the groups with the worst HRQoL that are easily identifiable by clinicians, providing an opportunity for early interventions.

Exploring the Spatial Distribution of Rheumatic Diseases and Its Correlation With Temperature and Humidity Among Middle-Aged and Elderly Adults in China

Objectives: This study aimed to analyze the prevalence of rheumatic diseases and its correlation with temperature and humidity among middle-aged and elderly adults in China from a spatial perspective.

Methods: Data on rheumatic diseases among middle-aged and elderly adults were sourced from the 2018 China Health and Retirement Longitudinal Study (CHARLS). Moran’s I was applied to explore the spatial autocorrelation of rheumatic diseases. Spatial lag model (SLM) was established to probe the correlation between rheumatic diseases and temperature and humidity.

Results: The age-standardized prevalence of rheumatic diseases was 33.2% for middle-aged and elderly adults in China, varying from 12.0% to 51.4% depending on regions. The Global Moran’s I was 0.506 (p = 0.001). Average temperature had negative correlation while average relative humidity had positive correlation with age-standardized prevalence of rheumatic diseases in the SLM.

Conclusion: The age-standardized prevalence of rheumatic diseases of middle-aged and elderly adults showed spatial autocorrelation in China. We recommend taking measures to prevent rheumatic diseases for the middle-aged and elderly adults, especially for those living in cold and humid regions.

Worse outcomes linked to ethnicity for early inflammatory arthritis in England and Wales: a national cohort study

OBJECTIVE

To assess variability in care quality and treatment outcomes across ethnicities in early inflammatory arthritis (EIA).

METHODS

We conducted an observational cohort study in England and Wales from May 2018 to March 2020, including patients with a suspected/confirmed EIA diagnosis. Care quality was assessed against six metrics defined by national guidelines. Clinical outcomes were measured using DAS28. Outcomes between ethnic groups ('White', 'Black', 'Asian', 'Mixed', 'Other') were compared, and adjusted for confounders.

RESULTS

A total of 35 807 eligible patients were analysed. Of those, 30 643 (85.6%) were White and 5164 (14.6%) were from ethnic minorities: 1035 (2.8%) Black; 2617 (7.3%) Asian; 238 (0.6%) Mixed; 1274 (3.5%) Other. In total, 12 955 patients had confirmed EIA, of whom 11 315 were White and 1640 were from ethnic minorities: 314 (2.4%) Black; 927 (7.1%) Asian; 70 (0.5%) Mixed; 329 (2.5%) Other. A total of 14 803 patients were assessed by rheumatology within three weeks, and 5642 started treatment within six weeks of referral. There were no significant differences by ethnicity. Ethnic minority patients had lower odds of disease remission at three months [adjusted odds ratio 0.79 (95% CI: 0.65, 0.96)] relative to White patients. Ethnic minorities were significantly less likely to receive initial treatment withMTX[0.68 (0.52, 0.90)] or with glucocorticoids [0.63 (0.49, 0.80)].

CONCLUSION

We demonstrate that some ethnic minorities are less likely to achieve disease remission in three months following EIA diagnosis. This is not explained by delays in referral or time to treatment. Our data highlight the need for investigation into the possible drivers of these inequitable outcomes and reappraisal of EIA management pathways.

Association between social deprivation and disease activity in rheumatoid arthritis: a systematic literature review

Physical and mental illnesses are driven by ethnicity, social, environmental and economic determinants. Novel theoretical frameworks in rheumatoid arthritis (RA) focus on links and adverse interactions between and within biological and social factors. This review aimed to summarise associations between socioeconomic status (SES) and RA disease activity, and implications for future research. Articles studying the association between SES and RA disease activity were identified, from 1946 until March 2021. The research question was: Is there an association between social deprivation and disease activity in people with RA? Articles meeting inclusion criteria were examined by one author, with 10% screened at abstract and full paper stage by a second author. Disagreements were resolved with input from a third reviewer. Information was extracted on definition/measure of SES, ethnicity, education, employment, comorbidities, disease activity and presence/absence of association between SES and disease activity. Initially, 1750 articles were identified, with 30 articles ultimately included. SES definition varied markedly—10 articles used a formal scale and most used educational attainment as a proxy. Most studies controlled for lifestyle factors including smoking and body mass index, and comorbidities. Twenty-five articles concluded an association between SES and RA disease activity; two were unclear; three found no association. We have demonstrated the association between low SES and worse RA outcomes. There is a need for further research into the mechanisms underpinning this, including application of mixed-methods methodology and consideration of syndemic frameworks to understand bio–bio and bio–social interactions, to examine disease drivers and outcomes holistically.

Impact of socio-demographic and clinical characteristics on functional disability and health-related quality of life in patients with rheumatoid arthritis: a cross-sectional study from Palestine

BACKGROUND

Rheumatoid arthritis (RA) is a chronic autoimmune disorder, which has a significant impact on patients' health-related quality of life (HRQoL), and limits physical function as well as increases pain and fatigue. Therefore, this study aimed to evaluate the HRQoL and functional disability profile of patients with RA in Palestine to determine the socio-demographic and clinical features associated with low HRQoL and functional disability in patients with RA and to investigate the impact of drugs used on functional disability and HRQoL.

METHODOLOGY

A cross-sectional, observational study conducted at rheumatology clinics in Northern West-Bank, Palestine (Alwatani Hospital-Nablus, Khalil Suleiman Hospital-Jenin, Thabet Thatbet Hospital-Tulkarem, and Darweesh Nazzal Hospital-Qalqilia). EuroQoL-5 Dimension scale (EQ-5D-5L) was used to evaluate HRQoL, Health Assessment Questionnaire, Disability Index (HAQ-DI) to evaluate the functional disability, and the Health Assessment Questionnaire pain visual analog scale (HAQ-VAS) to evaluate pain.

RESULTS

300 patients were included in the study, 229(76.3%) were females, the mean ± standard deviation age was 49 ± 13.10 years, and the median RA duration (lower-upper quartiles) was 6 (4-12) years. The median EQ-5D-5L index value and Euro QOL visual analogue scale (EQ-VAS) scores were 0.56 and 60, respectively. There was a significant strong positive correlation (R = 0.773; p < 0.001) between the EQ-5D-5L index values and the reported EQ-VAS scores. The median HAQ-DI and HAQ-VAS were 0.94 and 40, respectively. The results of multiple linear regression showed that treatment with biological DMARD (Etanercept), having work, higher income, absence of night pain, and absence of comorbid diseases were significantly associated with higher EQ-5D-5L index score (better HRQoL) and lower HAQ-DI scores (less disability). On the other hand, older age and the presence of morning stiffness were significantly associated with higher HAQ-DI scores (more disability).

CONCLUSIONS

This study revealed the impact of treatment, clinical variables, and socio-demographic factors on disability and HRQoL in RA patients. Healthcare providers should be aware of the association between treatment with biological DMARD and improved HRQoL and functional status to make early interventions that reduce disability and improve HRQoL in susceptible patients.