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. 2021 Dec 13;7(3):537–546. doi: 10.1016/j.ekir.2021.12.012

Table 3.

Sex-adjusted and multivariable logistic regression analyses for correlations between the Mayo imaging classification 1C–1E and mutation types (entire cohort, N = 121)

Variables
A. Sex-adjusted logistic regression analyses
Model for PKD1 truncating mutation
(R2 = 0.04, AUC = 0.63)
Model for PKD1 splicing/frameshift mutation
(R2 = 0.07, AUC = 0.67)
Model for PKD1 nonsense mutation
(R2 = 0.03, AUC = 0.60)
Model for PKD1 substitution
(R2 = 0.03, AUC = 0.60)
Odds ratio (95% CI) P value Odds ratio (95% CI) P value Odds ratio (95% CI) P value Odds ratio (95% CI) P value
Men (vs. women) 2.21 (1.03–4.78) 0.0430a 2.21 (1.01–4.83) 0.0474a 2.27 (1.06–4.89) 0.0353a 2.26 (1.05–4.86) 0.0366a
PKD1 truncating mutation (vs. no) 1.69 (0.80–3.57) 0.1700
PKD1 splicing mutation or frameshift mutation (vs. no) 3.17 (1.23–8.17) 0.0169a
PKD1 nonsense mutation (vs. no) 0.89 (0.37–2.17) 0.6912
PKD1 substitution (vs. no) 1.00 (0.41–2.44) 0.9945
B. Multivariable logistic regression analyses Model for PKD1 truncating mutation (R2 = 0.10, AUC = 0.70)
Model for PKD1 splicing/frameshift mutation (R2 = 0.12, AUC = 0.74)
Model for PKD1 nonsense mutation (R2 = 0.10, AUC = 0.69)
Model for PKD1 substitution (R2 = 0.10, AUC = 0.68)
Odds ratio (95% CI) P value Odds ratio (95% CI) P value Odds ratio (95% CI) P value Odds ratio (95% CI) P value
Men (vs. women) 1.31 (0.53–3.23) 0.5625 1.35 (0.54–3.39) 0.5165 1.27 (0.52–3.12) 0.5980 1.27 (0.52–3.11) 0.6039
Hypertension (vs. no) 1.67 (0.71–3.97) 0.2423 1.72 (0.72–4.13) 0.2230 1.80 (0.76–4.27) 0.1847 1.76 (0.75–4.15) 0.1967
Hyperuricemia (vs. no) 1.75 (0.65–4.71) 0.2669 1.66 (0.61–4.50) 0.3219 1.89 (0.71–5.02) 0.2013 1.88 (0.70–5.03) 0.2081
Low high-density lipoprotein cholesterol (vs. no) 4.85 (1.01–23.35) 0.0487a 4.56 (0.94–22.23) 0.0602 4.58 (0.96–21.91) 0.0570 4.66 (0.97–22.36) 0.0543
PKD1 truncating mutation (vs. no) 1.49 (0.68–3.29) 0.3230
PKD1 splicing mutation or frameshift mutation (vs. no) 2.84 (1.06–7.59) 0.0378a
PKD1 nonsense mutation (vs. no) 0.83 (0.32–2.12) 0.6912
PKD1 substitution (vs. no) 1.04 (0.40–2.65) 0.9425

AUC, area under the receiver operating characteristic curve; PKD, polycystic kidney disease; R2, McFadden’s pseudo-R-squared.

Each mutation type, hypertension, hyperuricemia, and low high-density lipoprotein cholesterol were included in the multivariable model.

a

P < 0.05.