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. 2022 Jun;167:92–96. doi: 10.1016/j.yjmcc.2022.03.007

Table 2.

Differences in baseline ET-1 adjusted for confounding using univariate analyses of co-variance.

Null hypothesis: Baseline ET-1 is not significantly different:
between patient categories (controls, A, B and C)
between infected (A, B and C) and non-infected patients (controls)
Covariate Variables Test statistic p value after univariate adjustment Test statistic p value after univariate adjustment
Age 2.91 0.04 6.02 0.04
Gender 13.4 <0.001 17.1 <0.01
Ethnicity 16.0 <0.001 17.5 <0.01
HTN 7.3 <0.001 12.1 <0.01
IHD 8.9 <0.001 13.7 <0.01
DM 7.5 <0.001 12.0 <0.01
CCF 7.8 <0.001 11.9 <0.01
CKD 9.0 <0.001 13.7 <0.01

Differences in baseline ET-1 remained significant after adjustment for confounding variables. Test statistic: difference in mean square ET-1 at time 0 after adjustment for covariate variables; p value after univariate adjustment refers to probability that differences in baseline ET-1 are not significantly different between patient categories (controls, A, B and C) and between infected and non-infected patients after adjustment for differences in covariate variables.