Socioeconomic Factors Are Associated With Severity of Hospitalization in Pediatric Lupus: An Analysis of the 2016 Kids’ Inpatient Database
Main finding · Hospital LOSResult — go to the resultAdjusted incidence rate ratio 1.12 95% CI 1.02–1.23Authors' conclusion
Using 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.
Study context
- Population
- Lupus hospitalizations (ICD-10 M32) in children aged 2–20 years, 2016 Kids' Inpatient Database
- Participants
- 3,367 participants4,650 weighted hospitalizations
- Exposure
- Income level, race and ethnicity, and insurance status as predictors of hospital length of stay (LOS) and severe lupus features
- Outcome
- Hospital LOS and presence of severe lupus features (ICD-10 codes for lupus sequelae, e.g., LN)
Methodological detailsnationally representative database (2016 Kids' Inpatient Database (KID)), multivariate negative binomial regression, multivariate logistic regression
- Nationally representative database (2016 KID)
- Multivariate negative binomial regression
- Multivariate logistic regression
Main finding
Hospital LOS
Adjusted incidence rate ratio
1.12
95% CI 1.02–1.23
Lowest income quartile
adjusted IRR 1.12 (95% CI 1.02–1.23)
As reported in the abstract
Observational data: associations, not effects.
Further findings
Severe lupus features
| aOR (95% CI) | ||
|---|---|---|
| Black race | 1.51 (1.11–2.06) | |
| "Other" race | 1.61 (1.01–2.55) | |
| Public insurance | 1.51 (1.17–2.55) | |
| 0.20.5125Adjusted odds ratio (log scale) |
Original publication
Socioeconomic Factors Are Associated With Severity of Hospitalization in Pediatric Lupus: An Analysis of the 2016 Kids’ Inpatient Database. Arthritis Care Res (Hoboken). Published 27 April 2023. doi:10. 1002/ acr. 25121
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