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

What role do socioeconomic and clinical factors play in disease activity states in rheumatoid arthritis? Data from a large UK early inflammatory arthritis audit

BACKGROUND

Persistently active rheumatoid arthritis (pactiveRA) may be due to the interplay between biological and non-biological factors. The role of socioeconomic factors remains unclear.

OBJECTIVES

To explore which biological and non-biological factors associate with pactiveRA.

METHODS

Adults with early RA in the National Early Inflammatory Arthritis Audit, recruited from May 2018 to October 2022, were included if having pactiveRA or persistently low RA (plowRA). The pactiveRA was defined as three consecutive Disease Activity Score-28 joints (DAS28) of >3.2 at baseline, 3 and 12 months. The plowRA was defined as DAS28 ≤3.2 at 3 and 12 months. Stepwise forward logistic regression was used to explore associations with pactiveRA (outcome). Age and gender were included a priori, with socioeconomic factors and comorbidities as exposure variables.

RESULTS

682 patients with pactiveRA and 1026 plowRA were included. Compared with plowRA, patients with pactiveRA were younger (58, IQR: 49-67) versus (62, IQR: 52-72), and included more women (69% vs 59%). The pactiveRA was associated with worse scores in patient-reported outcomes at baseline, and anxiety and depression screens. Overall, there was clear social patterning in pactiveRA, with age-by-gender interaction. Logistic regression indicated age, gender, social deprivation and previous or current smoking, were independently associated with pactiveRA, after controlling for disease severity markers (seropositivity). Depression, lung disease, gastric ulcers and baseline corticosteroid use, were also associated with pactiveRA (p<0.05 for all).

CONCLUSION

Socioeconomic factors and deprivation were associated with pactiveRA, independent of clinical and disease characteristics. Identifying 'adverse' socioeconomic drivers of pactiveRA can help tailor interventions according to individual need.

Explainable deep learning for disease activity prediction in chronic inflammatory joint diseases

Analysing complex diseases such as chronic inflammatory joint diseases (CIJDs), where many factors influence the disease evolution over time, is a challenging task. CIJDs are rheumatic diseases that cause the immune system to attack healthy organs, mainly the joints. Different environmental, genetic and demographic factors affect disease development and progression. The Swiss Clinical Quality Management in Rheumatic Diseases (SCQM) Foundation maintains a national database of CIJDs documenting the disease management over time for 19'267 patients. We propose the Disease Activity Score Network (DAS-Net), an explainable multi-task learning model trained on patients' data with different arthritis subtypes, transforming longitudinal patient journeys into comparable representations and predicting multiple disease activity scores. First, we built a modular model composed of feed-forward neural networks, long short-term memory networks and attention layers to process the heterogeneous patient histories and predict future disease activity. Second, we investigated the utility of the model's computed patient representations (latent embeddings) to identify patients with similar disease progression. Third, we enhanced the explainability of our model by analysing the impact of different patient characteristics on disease progression and contrasted our model outcomes with medical expert knowledge. To this end, we explored multiple feature attribution methods including SHAP, attention attribution and feature weighting using case-based similarity. Our model outperforms temporal and non-temporal neural network, tree-based, and naive static baselines in predicting future disease activity scores. To identify similar patients, a k-nearest neighbours regression algorithm applied to the model's computed latent representations outperforms baseline strategies that use raw input features representation.

Development and testing of a bespoke cultural intervention to support healthcare professionals with patients from a diverse background

OBJECTIVE

Development and test of a culturally sensitive intervention for rheumatology healthcare professionals (HCPs).

METHODS

Using a before and after study design, 15 HCPs were recruited to undertake the bespoke intervention from four National Health Service sites across England, in areas serving a diverse population. The intervention was evaluated using two validated outcomes: (i) Patient Reported Physician Cultural Competency (PRPCC); and (ii) Patient Enablement Instrument (PEI), measuring patients' perceptions of their overall healthcare delivery. Additionally, HCPs completed the COM-B questionnaire for capability (C), opportunity (O) and motivation (M) to perform behaviour (B), measuring behaviour change.

RESULTS

Two hundred patients were recruited before HCPs undertook the intervention (cohort 1), and 200 were recruited after (cohort 2) from 15 HCPs; after exclusions 178 patients remained in cohort 1 and 186 in cohort 2. Sixty percent of patients identified as white in both recruited cohorts, compared with 29% and 33% of patients (cohorts 1 and 2, respectively) who identified as being of South Asian origin. After the intervention, the COM-B scores indicated that HCPs felt more skilled and equipped for consultations. No significant differences were noted in the average overall cultural competency score between the two cohorts in white patients (57.3 vs 56.8, P = 0.8), however in the South Asian cohort there was a statistically significant improvement in mean scores (64.1 vs 56.7, P = 0.014). Overall, the enablement score also showed a statistically significant improvement following intervention (7.3 vs 4.3, P < 0.001) in the white patients and in the South Asian patients (8.0 vs 2.2, P < 0.001).

CONCLUSION

This novel study provides evidence for improving cultural competency and patient enablement in rheumatology settings.

Accessing care during the pandemic: A UK wide survey of people with rheumatoid arthritis and adult juvenile inflammatory arthritis during the COVID-19 pandemic

COVID-19 drastically changed healthcare delivery models for rheumatology services. We sought to understand the impact of these changes for patients with Rheumatoid Arthritis (RA) and adult Juvenile Inflammatory Arthritis (AJIA) in established patients and those newly diagnosed during the pandemic. RESULTS: Of the 316 participants, a significant proportion regularly used analgesics (45.4%, n = 119), corticosteroids (17.9%, n = 47) and Non-Steroidal Anti-Inflammatory Drugs [(NSAIDs) (36.6%, n = 96)]. Two thirds of participants (66.5%, n = 210) did not know their Disease Activity Score-28 (DAS28). Of the remaining third, moderate disease activity (12%, n = 38) was most reported. We found that 16.8% (n = 53) felt their condition was managed well during the pandemic. The remainder felt more negatively. For the newly diagnosed cohort, 34.5% (n = 10) delayed seeking GP help because of COVID-19 concerns. Once assessed, a quarter (24.1%, n = 7) were referred to rheumatology after 4 or more consultations. We found 47% (n = 77) expressed positive opinions on remote consultations, whereas 36% (n = 59) had concerns. The lack of clinical examination (42.5%, n = 25) was flagged. Changing the dynamic from health worker to a patient centred approach was the most wished for improvement (20.3%, n = 64). CONCLUSIONS: Most participants did not know their disease activity status, which is of concern. With a push towards patient-centred and patient-led care, education and supported self-management is critically important. There is high use of NSAIDs and corticosteroids. Pathways of care underwent change with subsequent delays in specialist assessment. The introduction of patient-initiated follow-up (PIFU) and virtual consultations further distances healthcare professionals from patients and could affect outcomes.

Online Patient-Reported Outcome Measure Engagement Is Dependent on Demographics and Locality: Findings From an Observational Cohort

OBJECTIVE

Online patient-reported outcome measures (PROMs) enable remote collection of perceptions of health status, function, and well-being. We aimed to explore patterns of PROM completion in patients with early inflammatory arthritis (EIA) recruited to the National Early Inflammatory Arthritis Audit (NEIAA).

METHODS

NEIAA is an observational cohort study design; we included adults from this cohort with a new diagnosis of EIA from May 2018 to March 2020. The primary outcome was PROM completion at baseline, 3 months, and 12 months. Mixed effects logistic regression and spatial regression models were used to identify associations between demographics (age, gender, ethnicity, deprivation, smoking, and comorbidity), clinical commissioning groups, and PROM completion.

RESULTS

Eleven thousand nine hundred eighty-six patients with EIA were included, of whom 5331 (44.5%) completed at least 1 PROM. Patients from ethnic minority backgrounds were less likely to return a PROM (adjusted odds ratio [aOR] 0.57, 95% CI 0.48-0.66). Greater deprivation (aOR 0.73, 95% CI 0.64-0.83), male gender (aOR 0.86, 95% CI 0.78-0.94), higher comorbidity burden (aOR 0.95, 95% CI 0.91-0.99), and current smoker status (aOR 0.73, 95% CI 0.64-0.82) also reduced odds of PROM completion. Spatial analysis identified 2 regions with high (North of England) and low (Southeast of England) PROM completion.

CONCLUSION

We define key patient characteristics (including ethnicity) that influence PROM engagement using a national clinical audit. We observed an association between locality and PROM completion, with varying response rates across regions of England. Completion rates could benefit from targeted education for these groups.

Analysis of Risk Factors and Surgical Strategy of Knee Traumatic Arthritis after Internal Plate Fixation in the Treatment of Tibial Plateau Fracture

Objective

To explore the risk factors and surgical strategies of knee traumatic arthritis after internal plate fixation in the treatment of tibial plateau fracture.

Methods

A total of 300 patients with tibial plateau fractures treated with internal plate fixation in our hospital from January 2019 to April 2021 were retrospectively analyzed. According to whether secondary knee traumatic arthritis occurred after operation, they were divided into control group and research group. The control group was nonsecondary knee traumatic arthritis (n = 231), and the research group was secondary knee traumatic arthritis (n = 69). Univariate and multivariate logistic regression analysis was used in this research.

Results

There were significant differences in fracture classification, injury method, osteoporosis, and the time from injury to operation between the two groups, and there are statistically significant differences between groups (P < 0.05). Fracture type, injury method, osteoporosis, and time from injury to operation were the influencing factors of tibial internal fixation, and there are statistically significant differences between groups (P < 0.05). Platform fracture was an independent risk factor for postoperative knee joint traumatic arthritis, and there are statistically significant differences between groups (P < 0.05). The HSS scores of both groups increased after operation, and there are statistically significant differences between groups (P < 0.05). No loosening of the prosthesis was found in all 69 patients with postoperative X-ray examination.

Conclusion

Fracture classification, injury mode, osteoporosis, and time from injury to operation are independent risk factors for knee traumatic arthritis in the treatment of tibial plateau fractures with internal plate fixation, incidence of knee trauma.