Table 2.
Logistic Regression Analysis Results of General Clinical Model Based on Clinical Features for Predicting the BCR.
| General clinical model | Univariate analysis | Multivariate analysis | ||
|---|---|---|---|---|
| Factors | P | Hazard ratio | P | Hazard ratio |
| Hypertension | .69 | 0.99 (0.97-1.02) | ||
| Diabetes | .86 | 1.01 (0.97-1.03) | ||
| History of smoking | .14 | 1.01 (0.99-1.03) | ||
| History of alcohol use | .06 | 0.98 (0.96-1.00) | ||
| Age | .68 | 0.99 (0.96-1.02) | ||
| Prostate volume | .09 | 0.98 (0.96-1.00) | ||
| Tumor diameter | <.05a | 1.26 (1.09-1.46) | .03a | 1.18 (1.01-1.39) |
| BMI | .41 | 0.97 (0.90-1.04) | ||
| Clinical TNM stage | .01a | 1.85 (1.12-3.07) | ||
| Lymph node metastasis | .01a | 1.26 (1.04-1.53) | .03a | 1.29 (1.02-1.63) |
| Distant metastasis | .01a | 2.09 (1.17-3.71) | ||
| GleasonSum | <.05a | 1.30 (1.13-1.50) | .00a | 1.32 (1.13-1.55) |
| Preoperative PSA | .02a | 1.05 (1.01-1.10) | <.05a | 1.08 (1.02-1.13) |
| Treatment mode | .75 | 1.03 (0.84-1.26) | ||
Abbreviations: BMI, body mass index; BCR, biochemical recurrence; TNM, tumor node metastasis classification.
a
P < .05.