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Abstract Background Uncontrolled gout can cause articular impairment but is also associated with a global and cardiovascular excess mortality, especially in dialysis population. Data documented within existing research is not conclusive regarding gout flares evolution during hemodialysis and their control by urate lowering therapy (ULT). Without clear guidelines concerning hemodialysis patients management with chronic gout, this study proposes to investigate whether gout flare incidence reduction could be observed on this population treated by urate lowering therapy versus patients without treatment. Methods We performed a retrospective cohort study in two hemodialysis centers in France. Were selected patients over 18 years old with a gout history who started hemodialysis between January 2005 and September 2015. Demographics and clinicals data were recorded at hemodialysis start and throughout 5 years of follow up. Gout flare was defined as presence of uric acid crystal in joint punction or clinically diagnosed as such with a colchicine prescription. All statistical analysis were performed in SAS® version 9.4 (SAS Institute Inc., Cary, NC). Results One hundred eighty-one patients have been included, mean age at dialysis initiation was 68.6 years (± 12.4) with 72% of men, 54% were treated by ULT: 89.7% by allopurinol and 9.3% by febuxostat. One patient received both treatments successively. After hemodialysis initiation, 35.36% patients had experienced at least one gout flare. The appearance of at least one gout flare concerned 50% of patients in no ULT group and 22.68% patients in ULT group (p = 0.0002). Dialysis efficiency was measured at regular interval during follow-up and was similar in both groups. To study the association strength between clinical factors and gout flares occurrences, a Cox model was performed; ULT is a protector factor of gout flare (HR:0,42, CI 95: 0,25-0,71). The proportion of serum urate values within the target (median 53% vs 29.3%, p

Background: Uncontrolled gout can cause articular impairment but is also associated with a global and cardiovascular excess mortality, especially in dialysis population. Data documented within existing research is not conclusive regarding gout flares evolution during hemodialysis and their control by urate lowering therapy (ULT). Without clear guidelines concerning hemodialysis patients management with chronic gout, this study proposes to investigate whether gout flare incidence reduction could be observed on this population treated by urate lowering therapy versus patients without treatment. Methods: We performed a retrospective cohort study in two hemodialysis centers in France. Were selected patients over 18 years old with a gout history who started hemodialysis between January 2005 and September 2015. Demographics and clinicals data were recorded at hemodialysis start and throughout 5 years of follow up. Gout flare was defined as presence of uric acid crystal in joint punction or clinically diagnosed as such with a colchicine prescription. All statistical analysis were performed in SAS® version 9.4 (SAS Institute Inc., Cary, NC). Results: One hundred eighty-one patients have been included, mean age at dialysis initiation was 68.6 years (± 12.4) with 72% of men, 54% were treated by ULT: 89.7% by allopurinol and 9.3% by febuxostat. One patient received both treatments successively. After hemodialysis initiation, 35.36% patients had experienced at least one gout flare. The appearance of at least one gout flare concerned 50% of patients in no ULT group and 22.68% patients in ULT group (p = 0.0002). Dialysis efficiency was measured at regular interval during follow-up and was similar in both groups. To study the association strength between clinical factors and gout flares occurrences, a Cox model was performed; ULT is a protector factor of gout flare (HR:0,42, CI 95: 0,25-0,71). The proportion of serum urate values within the target (median 53% vs 29.3%, p < 0.0001) was significantly higher in ULT group versus no ULT group (median 53% vs 29.3%, p < 0.0001). Conclusion: Urate lowering therapy limit new gout flares occurrence in hemodialysis patients with gout historyCollaboration between rheumatologists and nephrologists may help to update guidelines for urate-lowering therapies in patients on dialysis. [ABSTRACT FROM AUTHOR]

Aims: The aim of this study was to estimate adherence to urate‐lowering therapy (ULT), predominately allopurinol, from Australia's Pharmaceutical Benefits Scheme (PBS) claims database in association with (1) patient‐reported doses and (2) World Health Organization's (WHO) defined daily doses (DDD), namely, allopurinol (400 mg/day) or febuxostat (80 mg/day). Methods: Proportion of days covered (PDC) was calculated in 108 Gout App (Gout APP) trial participants with at least two recorded ULT dispensings in an approximately 12‐month period before provision of intervention or control apps. Adherence was defined as PDC ≥80%. We measured the correlation between the two methods of calculating PDC using a Wilcoxon signed rank test. Agreement between ULT‐taking status (self‐reports) and ULT‐dispensed status (PBS records) was tested with Cohen's kappa (κ), and positive and negative percent agreement. Results: Allopurinol was prescribed in 93.5% of participants taking ULT. Their self‐reported mean daily dose (SD) was 291 (167) mg/day. Mean PDC (SD) for allopurinol was 83% (21%) calculated using self‐reported dose, and 63% (24%) using WHO's DDD. Sixty‐three percent of allopurinol users were identified as adherent (PDC ≥80%) using self‐reported dose. There was good agreement between self‐reported ULT use and PBS dispensing claims (κ = 0.708, P <.001; positive percent agreement = 90%, negative percent agreement = 82%). Conclusions: Participant‐reported allopurinol daily doses, in addition to PBS dispensing claims, may enhance confidence in estimating PDC and adherence compared to using DDD. This approach improves adherence estimations from pharmaceutical claims datasets for medications where daily doses vary between individuals or where there is a wide therapeutic dose range. [ABSTRACT FROM AUTHOR]

Objectives: Stage ≥ 3 chronic kidney disease (CKD) affects ∼25% of people with gout. The effects of urate-lowering therapy (ULT) on CKD incidence and progression have remained inconclusive. Here, we assessed the impact of a gout urate-lowering therapy (ULT) clinic intervention using artificial intelligence (AI) on CKD incidence and achievement of serum urate target., Methods: An observational study compared propensity score-matched gout cohorts from an AI-based Gout Intelligent Management System (GIMS) and a standard Electronic Medical Records system (EMRS) clinic database. The GIMS included a mobile application, data fusion interface, and modules for expert consultation and laboratory results management. All patients had gout and a starting eGFR > 60 ml/min. Using a 1:2 propensity score (PS)-matched cohort study design we assessed the impact of the AI-based system on CKD outcomes and ULT effectiveness over 4 years of follow-up., Results: Compared with EMRS, GIMS was associated with reduced incidence of CKD stage ≥ 3. Specifically, 169/4117 new onset CKD stage ≥ 3 (incidence 4.1 per 100 person-years) with GIMS compared with 164/2128 with EMRS (incidence 7.7 per 100 person-years) during follow-up. More participants achieved serum urate <6.0 mg/dl with GIMS vs EMRS during follow-up (49.8% vs 25.9%, p < 0.001)., Conclusion: Application of the AI-based GIMS was associated with lower incidence of CKD stage ≥ 3 and superior target serum urate achievement in people with gout. The AI-based GIMS represents a novel approach to improve real-world renal outcomes and ULT success in gout., (© The Author(s) 2024. Published by Oxford University Press on behalf of the British Society for Rheumatology. All rights reserved. For permissions, please email: journals.permissions@oup.com.)