Data availabilitySummary statistics generated by COVID-19 Host Genetics Initiative are available online (https://www.covid19hg.org/results/r6/). The analyses described here use the freeze 6 data. The COVID-19 Host Genetics Initiative continues to regularly release new data freezes. Summary statistics for samples from individuals of non-European ancestry are not currently available owing to the small individual sample sizes of these groups, but the results for 23 loci lead variants are reported in Supplementary Table 3. Individual-level data can be requested directly from the authors of the contributing studies, listed in Supplementary Table 1.
The aim of this study was to establish whether serum RANKL levels in early inflammatory arthritis (IA) were associated with rheumatoid arthritis (RA) diagnosis at follow-up, and to evaluate the added value of RANKL for RA diagnosis.
MethodsSerum from 298 patients was collected. Demographic and clinical (swollen/tender joint counts, CRP, DAS28-CRP, RF, ACPA and shared-epitope data were recorded. Baseline ultrasound of 26 joints was performed, including total power Doppler (PD). An ELISA was used to measure RANKL. Predictors of progression were identified using multivariable logistic regression analysis. Area under the receiver operating characteristics (AUROC) was used to assess the performance of the prediction models and quantify the added value of RANKL in RA diagnosis.Results 151 patients developed RA and 147 were non-RA (undifferentiated IA, other inflammatory diagnoses or non-persistent inflammation). RANKL levels were significantly higher in RA (median [IQR]: 474.1 [270.8-1430.6]) than in non-RA (median ]. Three clinical factors (age, SJC and PD) were identified by multivariable logistic regression with model performance AUROC of 77.9% (95% CI 72.1-83.8%). Adding RANKL resulted in a relative increase of 6.5% in the model classification performance of an AUROC of 83.0% (95% CI 77.9-88.1%). In ACPA-negative patients, the model performance increased from 77.6% (95% CI 69.5-85.7%) with clinical data only to 81.9% (95% CI 73.7-89.8%) with added value of RANKL and imaging. Conclusion RANKL levels can predict RA diagnosis over clinical biomarkers alone, both seropositive and particularly in seronegative IA patients.
Osteoarthritis (OA) has an estimated prevalence of 10%-30% worldwide 1,2 ; however, most interventions treat the symptoms of the disease, rather than the cause. Ankle OA creates a particular problem, as the disease is estimated to be post-traumatic in anywhere between 18% and 75% of cases. 3-5 This results in a much earlier age of onset, with the average symptomatic ankle OA patient being aged
This study aimed to investigate the relation of serum monocyte to serum HDL cholesterol ratio (MHR) with Obstructive Sleep Apnea Syndrome (OSAS). A total of 62 patients with an Apnea Hypopnea Index (AHI > 5) and excessive daytime sleepiness were included in this study as OSAS group. The individuals with (AHI<5/h) were included in the study as controls.
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