Paper
7 September 2023 Estimation of the prevalence of hyperuricemia and gout in the U.S. population based on the data from the national health and nutrition examination survey 2017-2018
Jingyu Pan
Author Affiliations +
Proceedings Volume 12789, International Conference on Modern Medicine and Global Health (ICMMGH 2023); 1278925 (2023) https://doi.org/10.1117/12.2692642
Event: International Conference on Modern Medicine and Global Health (ICMMGH 2023), 2023, Oxford, United Kingdom
Abstract
There is a pooled prevalence of gout and hyperuricemia, although it varies significantly in different regions. Continuous monitoring of gout and hyperuricemia prevalence will help the government adjust its public health policy. The current analysis employed the research tabulated from the National Health and Nutrition Examination Survey (NHANES) from 2017 to 2018 to measure the prevalence of hyperuricemia that happened through examining the updated nationally representative sample from the US. From 2017 to 2018, it shows a 5.1% of prevalence of gout within the age of 20. In the gender-based criteria for hyperuricemia, the plasma uric acid concentration above 7.0 mg/dL for males while for a female is above 5.7 mg/dL, and the frequency of hyperuricemia was 19.9%. While according to the gender-neutral criteria (i.e., serum urate level above 7.0 mg/dL, no matter which gender), the prevalence of hyperuricemia was 12.6%. The estimate suggests an obvious rise in the prevalence of gout compared to 2015-2016, but the association became nonsignificant after adjusting age, BMI, and hypertension. The burden of gout and hyperuricemia remained high and was increased in absolute numbers, indicating the need for a more proactive approach to patients with hyperuricemia and gout.
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Jingyu Pan "Estimation of the prevalence of hyperuricemia and gout in the U.S. population based on the data from the national health and nutrition examination survey 2017-2018", Proc. SPIE 12789, International Conference on Modern Medicine and Global Health (ICMMGH 2023), 1278925 (7 September 2023); https://doi.org/10.1117/12.2692642
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KEYWORDS
Blood

Diseases and disorders

Statistical analysis

Biological samples

Surveillance

Design and modelling

Analytical research

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