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. 2025 Jul 2;9(3):BJGPO.2024.0171. doi: 10.3399/BJGPO.2024.0171

Table 2. Univariable (crude) and multivariable Poisson regression models of the association between the PUCP and the KRT incidence.

Rate ratio (95% CI) P value
Crude
Uncoded CKD patients in % (continuous) 1.000 (0.997 to 1.003) 0.886
Uncoded CKD patients in % (quintiles)
Lowest 1 <0.001
2 1.221 (1.167 to 1.277)
3 1.123 (1.074 to 1.174)
4 1.075 (1.029 to 1.123)
Highest 1.099 (1.051 to 1.149)
Model 1 a
Uncoded CKD patients in % (continuous) 1.002 (0.999 to 1.005) 0.149
Uncoded CKD patients in % (quintiles)
Lowest 1 0.062
2 1.033 (0.982 to 1.087)
3 1.051 (1.003 to 1.102)
4 1.000 (0.954 to 1.048)
Highest 1.044 (0.996 to 1.093)
Model 2 b
Uncoded CKD patients in % (continuous) 1.003 (1.000 to 1.006) 0.093
Uncoded CKD patients in % (quintiles)
Lowest 1 0.360
2 1.020 (0.969 to 1.075)
3 1.030 (0.982 to 1.082)
4 1.000 (0.953 to 1.050)
Highest 1.037 (0.990 to 1.087)
Model 3 c
Uncoded CKD patients in % (continuous) 1.004 (1.000 to 1.008) 0.029
Uncoded CKD patients in % (quintiles)
Lowest 1 0.030
2 1.080 (1.021 to 1.143)
3 1.061 (1.009 to 1.116)
4 1.035 (0.982 to 1.090)
Highest 1.077 (1.020 to 1.138)

aAdjusted for sociodemographic covariates. bAdjusted for sociodemographic and healthcare quality covariates. cAdjusted for sociodemographic, healthcare quality and health status covariates. P values are calculated using likelihood-ratio tests. n = 106. CI = confidence interval. CKD = chronic kidney disease