Socioeconomic Factors Are Associated With Severity of Hospitalization in Pediatric Lupus: An Analysis of the 2016 Kids’ Inpatient Database

Abstract

ObjectiveHealth disparities in adult lupus, including higher disease severity and activity among those in poverty, have been identified. Similar associations in pediatric lupus have not been clearly established. This study was undertaken to investigate the relationship of income level and other socioeconomic factors with length of stay (LOS) in the hospital and severe lupus features using the 2016 Kids’ Inpatient Database (KID).MethodsLupus hospitalizations were identified in children ages 2–20 years in the 2016 KID using International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD‐10) codes (M32). Univariate and multivariate negative binomial regression analyses were used to analyze the association of income level, race and ethnicity, and insurance status with LOS in the hospital. Univariate and multivariate logistic regression analyses were used to analyze the association of the same predictors with the presence of severe lupus features, defined using ICD‐10 codes associated with lupus sequelae (e.g., lupus nephritis).ResultsA total of 3,367 unweighted (4,650 weighted) lupus hospitalizations were identified. Income level was found to be a statistically significant predictor of increased LOS in the hospital for those in the lowest income quartile (adjusted incidence rate ratio 1.12 [95% confidence interval (95% CI) 1.02–1.23]). Black race, “other” race, and public insurance were also associated with severe lupus features (adjusted odds ratio [ORadj] 1.51 [95% CI 1.11–2.06]; ORadj 1.61 [95% CI 1.01–2.55]; and ORadj 1.51 [95% CI 1.17–2.55], respectively).ConclusionUsing a nationally representative data set, income level was found to be a statistically significant predictor of LOS in the hospital among those with the lowest reported income, highlighting a potential target population for intervention. Additionally, Black race and public insurance were associated with severe lupus features.