Comparison of baseline characteristics between the effective and ineffective groups based on the overall efficacy
A total of 403 patients between 53-90 years of age diagnosed with BPH were included in the present study. The general characteristics of the study population are shown in Table 2. The surgical efficacy rates according to the improvements in IPSS, QoL, and Qmax after surgery were 76.18%, 65.51%, and 71.46% respectively, and the overall efficacy rate of TURP was 73.70%. A comparison of the overall efficacy in the effective and ineffective groups revealed significant differences in age, PSA, Pves, PdetQmax, Pabd, BOOI, MBOOI, TZV, TZI, IPSS-t, IPSS-v, IPSS-s, Qmax, and PVR at baseline (P<0.05), but significant differences were not observed in TPV, IPPS-p, or QoL (Table 2).
Comparison of the correlation of BOOI and MBOOI with the baseline characteristics and the changes (ΔIPSS, ΔQoL, ΔQmax and ΔPVR) after TURP
Table 3 shows the correlation of MBOOI with preoperative variables, with statistically significant differences observed in age (r=0.220), PSA (r=0.123), TPV (r=0.102), TZV (r= 0.142), TZI (r=0.216), IPSS-t (r=0.235), IPSS-v (r=0.154), IPSS-s (r=0.200), IPSS-p (r=0.121), QoL (r=0.145), and Qmax (r=-0.164) (P<0.05). Pearson's correlation test results also showed that both ΔIPSS-t (r=0.379), ΔIPSS-v (r=0.183), ΔIPSS-s (r=0.378), ΔIPSS-p (r=0.154), ΔQoL (r=0.314), ΔQmax(r=0.234), and ΔPVR (r=0.130) increased with MBOOI (P<0.05). Moreover, the correlations between MBOOI and preoperative variables were more obvious than those with BOOI, as were postoperative changes (ΔIPSS, ΔQoL, ΔQmax, and ΔPVR) (Table 3, Figure 1).
Association of surgical efficacy with preoperative variables
As presented in Table 4, simple linear regression analysis was used to analyze the correlations between preoperative factors and the surgical efficacy in IPSS, QoL, and Qmax. There were significant correlations between Pves, PdetQmax, Pabd, BOOI, MBOOI, TZI, and improvement in IPSS-t (p<0.05). Simultaneously, correlation analysis of preoperative variables indicated that there were significant correlations between Pves, PdetQmax, Pabd, BOOI, MBOOI, TZI, IPSS-t, QoL, and Qmax at baseline and improvement in QoL (p<0.05). With respect to the improvements in Qmax, significant correlations with Pves, PdetQmax, BOOI, MBOOI, IPSS-t, Qmax and PVR were observed (p<0.05) (Table 4). Preoperative variables that were significantly correlated with surgical efficacy in IPSS, QoL, and Qmax using simple linear regression analysis were analyzed by stepwise forward binary logistic regression. From the results, MBOOI and IPSS-t were correlated with improvement of IPSS-t (p<0.05), MBOOI, Pabd and QoL with improvement of QoL (p<0.05), MBOOI and Qmax with improvement of Qmax (p<0.05). In addition, improved MBOOI and IPSS-t were correlated with the overall efficacy of TURP (p<0.005). Particularly, MBOOI was the only preoperative factor correlated with the surgical efficacy in IPSS, QoL, Qmax, and the overall both (p<0.05) (Table 4).
Furthermore, as shown in Figure 2, the ROC curve was plotted, and the AUC was calculated. ROC analysis further demonstrated that MBOOI (AUC=0.744, 95%CI 0.691-0.798) was more optimal than BOOI (AUC=0.701, 95%CI 0.645-0.757), TZV (AUC=0.575, 95%CI 0.513-0.636), and TZI (AUC=0.573, 95%CI 0.513-0.634) in predicting the overall surgical efficacy of TURP. With a larger AUC, there was a higher correlation of MBOOI (AUC=0.708, 95%CI 0.652-0.765) with the improvement in IPSS-t than BOOI (AUC=0.664, 95%CI 0.606-0.721), TZV (AUC=0.556, 95%CI 0.491-0622), and TZI (AUC=0.543, 95%CI 0.484-0.618). Similarly, compared with BOOI (AUC=0.661, 95% CI 0.608-0.715), TZV (AUC=0.558, 95%CI 0.501-0.616), and TZI (AUC=0.582, 95%CI 0.252-0.639), MBOOI (AUC=0.710, 95%CI 0.659-0.761) had a larger AUC in improvement in QoL. With regard to the surgical efficacy in Qmax, the AUC was 0.742 (95%CI 0.691-0.794) for MBOOI, 0.728 (95%CI 0.676-0.779) for BOOI, 0.559 (95% CI 0.499-0.619) for TZV, and 0.570 (95%CI 0.510-0.630) for TZI (Figure 2).