Posters
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Clinical Science
Abstract Type
Research/Clinical
Abstract
Background: Gout and pseudogout are inflammatory joint conditions, with gout being one of the most prevalent etiologies of chronic inflammatory arthritis in the United States. The patient population in the Rio Grande Valley (RGV) has a distinct demographic profile that warrants exploration of various health conditions. The primary objective of this study is to compare the frequencies of gout and pseudogout in the Rio Grande Valley to national frequencies and determine if there were demographic disparities between Gout and Pseudogout in this community. We hypothesized that the frequency gout and pseudogout would be higher in the RGV compared to the nation. We also hypothesized that there would be demographic disparities between gout and pseudogout depending on age, sex, and ethnicity.
Methods: This was a retrospective chart review and data was gathered from the University of Texas Rio Grande Valley (UTRGV) UTHealth electronic database from January 1, 2017 to January 1, 2024. We collected and analyzed medical charts of individuals who were diagnosed with gout or pseudogout using ICD-10 diagnosis codes M10 for gout and M11.2 for pseudogout. Patients’ characteristics were described by gout status using frequency (n) and percentage (%) for categorical variables.
Results: Individuals in age groups 40-65 years and greater than or equal to 65 years compared to patients less than 40 years old had significantly higher odds of having gout versus no gout. Females compared to males had 88% lower odds of having gout compared to no gout (OR=0.12, 95% CI: 0.08, 0.17, p<0.0001) and 83% lower odds of having gout compared to pseudogout (OR=0.17, 95% CI: 0.08, 0.39), p<0.0001). Hispanic or Latino ethnicity, compared to non-Hispanic and Latino, had significantly lower odds of gout (OR=0.32, 95% CI: 0.23, 0.45, p<0.0001) and pseudogout (OR=0.30, 95% CI: 0.14, 0.65, p<0.0001) compared to no gout. Individuals classified as overweight or obese compared to normal BMI patients had significantly higher odds of having gout compared to patients with no gout. Marital status was the only difference between univariable and multivariable analysis and was not significantly associated with gout status according to the multivariable model.
Conclusion: Individuals of various demographics in the RGV community, and possibly demographically similar communities, may be at increased risk for gout or pseudogout. Precautions may be taken, in at-risk demographics, to help deter either of these conditions which could prevent numerous effects of these conditions on an individual’s quality of life.
Recommended Citation
Martin, Blake C.; Cisneros, Fernando; and Vatcheva, Kristina, "Gout versus Pseudogout in the Medically Underserved Rio Grande Valley" (2025). Research Symposium. 42.
https://scholarworks.utrgv.edu/somrs/2025/posters/42
Included in
Gout versus Pseudogout in the Medically Underserved Rio Grande Valley
Background: Gout and pseudogout are inflammatory joint conditions, with gout being one of the most prevalent etiologies of chronic inflammatory arthritis in the United States. The patient population in the Rio Grande Valley (RGV) has a distinct demographic profile that warrants exploration of various health conditions. The primary objective of this study is to compare the frequencies of gout and pseudogout in the Rio Grande Valley to national frequencies and determine if there were demographic disparities between Gout and Pseudogout in this community. We hypothesized that the frequency gout and pseudogout would be higher in the RGV compared to the nation. We also hypothesized that there would be demographic disparities between gout and pseudogout depending on age, sex, and ethnicity.
Methods: This was a retrospective chart review and data was gathered from the University of Texas Rio Grande Valley (UTRGV) UTHealth electronic database from January 1, 2017 to January 1, 2024. We collected and analyzed medical charts of individuals who were diagnosed with gout or pseudogout using ICD-10 diagnosis codes M10 for gout and M11.2 for pseudogout. Patients’ characteristics were described by gout status using frequency (n) and percentage (%) for categorical variables.
Results: Individuals in age groups 40-65 years and greater than or equal to 65 years compared to patients less than 40 years old had significantly higher odds of having gout versus no gout. Females compared to males had 88% lower odds of having gout compared to no gout (OR=0.12, 95% CI: 0.08, 0.17, p<0.0001) and 83% lower odds of having gout compared to pseudogout (OR=0.17, 95% CI: 0.08, 0.39), p<0.0001). Hispanic or Latino ethnicity, compared to non-Hispanic and Latino, had significantly lower odds of gout (OR=0.32, 95% CI: 0.23, 0.45, p<0.0001) and pseudogout (OR=0.30, 95% CI: 0.14, 0.65, p<0.0001) compared to no gout. Individuals classified as overweight or obese compared to normal BMI patients had significantly higher odds of having gout compared to patients with no gout. Marital status was the only difference between univariable and multivariable analysis and was not significantly associated with gout status according to the multivariable model.
Conclusion: Individuals of various demographics in the RGV community, and possibly demographically similar communities, may be at increased risk for gout or pseudogout. Precautions may be taken, in at-risk demographics, to help deter either of these conditions which could prevent numerous effects of these conditions on an individual’s quality of life.
