Table 2 Cox regression analyses predicting the death in nocturia patients
From: Underweight body mass index is a risk factor of mortality in outpatients with nocturia in Japan
Univariate analysis | ||
|---|---|---|
OR (95 % CI) | P value* | |
Age at first visit | 1.09 (1.04–1.14) | <0.001 |
Female | 0.53 (0.21–1.35) | 0.18 |
BMI | 0.81 (0.73–0.90) | <0.0001 |
IPSS score 7 | 1.17 (0.83–1.64) | 0.38 |
IPSS total score | 1.01 (0.96–1.01) | 0.78 |
IPSS QOL | 1.17 (0.88–1.56) | 0.29 |
SF-36 PCS | 0.97 (0.94–0.99) | <0.01 |
SF-36 MCS | 0.99 (0.96–1.03) | 0.54 |
SF-36 RCS | 0.99 (0.96–1.01) | 0.3 |
PSQI | 1.00 (0.91–1.09) | 0.93 |
NPi | 0.59 (0.06–5.60) | 0.64 |
Charlson Comorbidity Score | 1.42 (1.24–1.63) | <0.0001 |
Multivariate analysis | ||
|---|---|---|
OR (95 % CI) | P value* | |
Age at first visit | 1.05 (0.98–1.11) | 0.15 |
BMI | 0.83 (0.74–0.94) | <0.005 |
SF-36 PCS | 0.97 (0.95–1.00) | <0.05 |
Charlson Comorbidity Score | 1.44 (1.21–1.71) | <0.0001 |