Table 2.
% of all hospitalizations | % of all AKI episodes | Risks | Risk differences | 95% CI | P value | |
---|---|---|---|---|---|---|
n = 2,392,031 | n = 29,391 | |||||
Race/ethnicitya | ||||||
Caucasian | 46.3 | 47.6 | 12.6 | Reference | ||
African-American | 18.0 | 19.6 | 13.4 | 0.7 | −0.1, 1.5 | |
Hispanic | 20.4 | 16.6 | 10.0 | −2.7 | −3.6, −1.7 | <0.0001 |
Asian/Pacific Islander | 2.1 | 2.6 | 14.9 | 2.2 | 0.4, 4.1 | <0.01 |
Native American | 0.9 | 0.8 | 10.9 | −1.8 | −4.6, 1.1 | |
Other | 4.7 | 4.5 | 11.6 | −1.0 | −2.4, 0.3 | |
Insurance statusb | ||||||
Medicaid | 51.2 | 40.4 | 9.7 | Reference | ||
No insurance | 4.3 | 8.1 | 23.1 | 13.4 | 11.7, 15.1 | < 0.0001 |
Private insurance | 39.2 | 43.6 | 13.7 | 4.0 | 3.4, 4.6 | < 0.0001 |
Other | 5.1 | 7.8 | 18.6 | 8.9 | 6.9, 11.0 | < 0.0001 |
Genderc | ||||||
Female | 59.1 | 43 | 8.9 | Reference | ||
Male | 40.9 | 57 | 17.1 | 8.2 | 7.6, 8.8 | < .0001 |
Aged | ||||||
1–5 years | 22.9 | 12.3 | 6.6 | Reference | ||
6–10 years | 12.7 | 10.7 | 10.3 | 3.7 | 3.1, 4.4 | < 0.0001 |
11–15 years | 17.0 | 16 | 11.6 | 5.0 | 4.2, 5.8 | < 0.0001 |
16–20 years | 47.0 | 59.9 | 15.6 | 9.0 | 8.4, 9.7 | < 0.0001 |
Household urbanizatione | ||||||
Central metropolitan counties with ≥ 1 million population | 31.2 | 30.2 | 11.9 | Reference | ||
Fringe metropolitan counties with > 1 million population | 22.2 | 23.1 | 12.9 | 0.9 | 0, 1.9 | 0.05 |
Metropolitan counties with 250,000–999,999 population | 20.5 | 21.3 | 12.8 | 0.9 | −0.3, 2.0 | |
Metropolitan counties with 50,000–249,999 population | 9.5 | 9.4 | 12.3 | 0.4 | −0.9, 1.6 | |
Micropolitan counties | 10.3 | 9.7 | 11.6 | −0.3 | −1.4, 0.7 | |
Rural (neither metro- or micropolitan) counties | 6.4 | 5.7 | 10.9 | −1.0 | −2.2, 0.1 |
All risks and risk differences are per 1000 hospitalizations
AKI acute kidney injury, RD risk difference, CI confidence interval
A total of 128,742 patients missing data on race/ethnicity (unweighted)
A total of 4,274 patients missing data on health insurance status (unweighted)
A total of 138 patients missing data on gender (unweighted)
A total of 6,304 patients missing data on age (unweighted)
A total of 6,561 patients missing data on household urbanization (unweighted)