Key Takeaways
- 1.02 million deaths associated with gout globally in 2017 (mortality estimate)
- 26.3% prevalence of gout among U.S. adults aged ≥65 years in 2016–2017 (age-stratified prevalence)
- 0.2% annual incidence of gout in the UK (general population incidence estimate, 2010–2014)
- Approximately 4% of adults with hypertension also have gout in the U.S. (co-morbidity prevalence estimate)
- Chronic kidney disease increases gout risk by approximately 2.4-fold (relative risk estimate)
- 8.0% of U.S. adults in 2016–2017 had hyperuricemia (serum urate above clinical threshold) (population prevalence estimate)
- Diuretic use is associated with a 2.46-fold increased risk of incident gout (hazard/relative risk estimate)
- In a U.S. retrospective study, gout patients had 35% higher all-cause hospitalization rates than matched controls (utilization difference)
- In the U.S., the incremental annual healthcare cost burden of gout was about $1,700 per patient (incremental cost estimate)
- In the U.S., gout-related direct medical costs were estimated at $4.2 billion in 2013 (direct cost estimate)
- Prophylaxis to prevent flares during ULT initiation is inconsistently used: only 40% of patients received prophylaxis when starting ULT in claims data (prophylaxis utilization)
- In the U.S., 38.5% of people with gout had a documented serum urate test during follow-up (monitoring prevalence)
- In a real-world dataset, 58% of patients treated with pegloticase achieved serum urate <6 mg/dL at a post-baseline assessment (biochemical response in practice)
- In that trial, flare frequency decreased from 5.2 to 3.3 with usual care (control flare reduction)
- Pegloticase achieved serum urate normalization in 42% of responders at 6 months (biochemical outcome rate)
Gout is rising and costly, affecting millions worldwide and driving major healthcare spending in the US and UK.
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How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
David Sutherland. (2026, February 13). Gout Statistics. Gitnux. https://gitnux.org/gout-statistics
David Sutherland. "Gout Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/gout-statistics.
David Sutherland. 2026. "Gout Statistics." Gitnux. https://gitnux.org/gout-statistics.
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