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Hospitalizations for Acute Gout: Process Mapping the Inpatient Journey and Identifying Predictors of Admission
Mark D Russell1, Deepak Nagra2, Benjamin D Clarke2
1M.D. Russell, MBBChir, Doctoral Research Fellow, D. Nagra, MD, Clinical Research Fellow, B.D. Clarke, MSc, Clinical Research Fellow, S. Balachandran, MBBS, Clinical Research Fellow, A. Buazon, MSc, Clinical Research Fellow, A. Boalch, MBBS, Clinical Research Fellow, K. Bechman, PhD, Clinical Lecturer, M.A. Adas, MBBS, Clinical Research Fellow, E.G. Alveyn, BMBCh, Clinical Research Fellow, A.I. Rutherford, MSc, Consultant Rheumatologist, J.B. Galloway, PhD, Reader in Rheumatology, Centre for Rheumatic Diseases, King's College London, London, UK. mark.russell@kcl.ac.uk.
Insights
Predictors of gout flare hospital admission include older age and elevated inflammatory markers. Post-discharge urate-lowering therapy optimization is insufficient, hindering prevention of future gout attacks and hospitalizations.
Area of Science:
- Rheumatology
- Internal Medicine
- Emergency Medicine
Background:
- Gout flares frequently lead to emergency department (ED) visits and hospital admissions.
- Optimal inpatient management of gout is often lacking, contributing to readmissions.
Purpose of the Study:
- To identify factors predicting hospital admission after ED visits for gout flares.
- To describe barriers to effective inpatient gout care and propose optimization strategies.
Main Methods:
- Analysis of ED attendances and admissions for gout at two UK hospitals (2017-2020).
- Logistic regression and survival models identified predictors of admission and reattendance.
- Case note reviews, stakeholder meetings, and process mapping assessed gout management.
Main Results:
- 23.5% of 1220 gout flare ED attendances resulted in hospitalization.
- Predictors of admission included older age, overnight arrival, elevated serum urate, C-reactive protein, and white cell count.
- Only 22.6% of patients with gout received urate-lowering therapy (ULT) at presentation; suboptimal treatment persisted post-discharge (9.1% achieved target serum urate levels).
Conclusions:
- Multiple factors predict hospitalization for acute gout flares.
- Inadequate treat-to-target optimization of ULT post-hospitalization requires improvement to reduce future admissions.
Objective:
To identify predictors of admission following emergency department (ED) attendances for gout flares and to describe barriers to optimal inpatient gout care.
Methods:
ED attendances and hospital admissions with primary diagnoses of gout were analyzed at 2 UK-based hospitals between January 1, 2017, and December 31, 2020. Demographic and clinical predictors of ED disposition (admission or discharge) and reattendance for gout flares were identified using logistic regression and survival models, respectively. Case note reviews (n = 59), stakeholder meetings, and process mapping were performed to capture detailed information on gout management and to identify strategies to optimize care.
Results:
Of 1220 emergency attendances for gout flares, 23.5% required hospitalization (median length of stay: 3.6 days). Recurrent attendances for flares occurred in 10.4% of patients during the study period. In multivariate logistic regression models, significant predictors of admission from ED were older age, overnight ED arrival time, higher serum urate (SU), higher C-reactive protein, and higher total white cell count at presentation. Detailed case note reviews showed that only 22.6% of patients with preexisting gout were receiving urate-lowering therapy (ULT) at presentation. Initial diagnostic uncertainty was common, yet rheumatology input and synovial aspirates were rarely obtained. By 6 months postdischarge, 43.6% were receiving ULT; however, few patients had treat-to-target dose optimization, and only 9.1% achieved SU levels ≤ 360 μmol/L.
Conclusion:
We identified multiple predictors of hospitalization for acute gout. Treat-to-target optimization of ULT following hospitalization remains inadequate and must be improved if admissions are to be prevented.
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