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) |
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|---|---|---|---|---|---|---|---|---|
| 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) |
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|---|---|---|---|---|---|---|---|---|
| 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.
P < 0.05.