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Race/Ethnicity is not associated with mortality in the PICU
David Epstein1, Carolyn F Wong, Robinder G Khemani
1Children's Hospital Los Angeles, Department of Anesthesiology Critical Care Medicine, 4650 Sunset Blvd, MS #3, Los Angeles, CA 90027, USA. depstein@chla.usc.edu
Insights
Pediatric intensive care unit (PICU) survival is not significantly impacted by race/ethnicity after adjusting for illness severity. Other factors like age, gender, and diagnosis influence PICU mortality, warranting further investigation into socioeconomic influences.
Area of Science:
- Pediatric critical care medicine
- Health services research
- Epidemiology
Background:
- Racial and ethnic disparities in healthcare outcomes are a significant concern.
- Understanding survival differences in pediatric intensive care units (PICUs) is crucial for improving care.
- Previous studies have suggested racial/ethnic variations in pediatric healthcare, but controlling for illness severity is key.
Purpose of the Study:
- To investigate whether racial or ethnic background is associated with survival differences among children admitted to the PICU.
- To adjust for the severity of illness using the pediatric index of mortality 2 (PIM2) when examining PICU survival rates.
- To identify risk factors for mortality in the PICU population across different demographic groups.
Main Methods:
- Utilized a large national clinical PICU database (Virtual PICU Performance System) encompassing data from 31 hospitals (2005-2008).
- Included pediatric patients (18 years and younger) and collected demographic, PIM2, diagnosis, and PICU mortality data.
- Employed logistic regression models to analyze PICU mortality risk factors, controlling for illness severity.
Main Results:
- Analysis of 80,739 patients indicated that female gender, age (1 month or younger, 12 years or older), and specific diagnoses (infectious, oncologic) were associated with increased PICU mortality, even after adjusting for PIM2.
- Initial findings suggested "other" insurance type and Asian/Indian/Pacific Islander race/ethnicity as potential mortality risk factors, but these were deemed inconclusive due to heterogeneity and small sample sizes.
- The study found no statistically significant association between race/ethnicity and PICU mortality after controlling for illness severity.
Conclusions:
- Gender, age, and diagnosis significantly impact PICU mortality, independent of illness severity.
- Race/ethnicity was not found to be an independent risk factor for PICU mortality in this cohort.
- Further research is recommended to explore the role of unmeasured variables, such as sociocultural and socioeconomic factors, which may be indirectly indicated by insurance type.
Objective:
To determine if a difference in survival exists between children of different racial/ethnic groups who were admitted to the PICU, after controlling for severity of illness (pediatric index of mortality 2).
Methods:
We used the largest national clinical PICU database (Virtual PICU Performance System) with data from 31 hospitals, from 2005 to 2008. Children 18 years and younger were included. We collected demographic, pediatric index of mortality 2, diagnosis, and PICU mortality data. Logistic regression models were constructed to identify PICU mortality risk factors.
Results:
The analysis of 80 739 patients revealed that, after controlling for severity of illness, being female (odds ratio [OR]: 1.12 [95% confidence interval (CI): 1.02-1.24] P = .019), 1 month or younger (OR: 1.39 [95% CI: 1.17-1.65] P < .001) or 12 years or older (OR: 1.34 [95% CI: 1.17-1.52] P < .001), or having an infectious diagnosis (OR: 2.22 [95% CI: 1.83-2.71] P < .001) or oncologic diagnosis (OR: 1.50 [95% CI: 1.14-1.99] P = .004) increased PICU mortality. Having "other" insurance type (OR: 1.58 [95% CI: 1.11-2.24] P = .010) or being Asian/Indian/Pacific Islander (OR: 1.35 [95% CI: 1.01-1.81] P = .042) seemed also to be mortality risk factors; however, because of heterogeneity and small group sizes (1.7% and 2.5% of the study population, respectively), these results are inconclusive.
Conclusions:
Although gender, age, and diagnosis showed an effect on severity of illness-adjusted PICU mortality, race/ethnicity did not. Additional investigation is warranted because the present results (ie, insurance type) may be proxy measurements for other influences not collected in this database, such as sociocultural and socioeconomic factors.
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