Yang Xingliang,Zhao Jiang,Feng Guangui,Yu Wei,Li Longkun.Role of resting urethral pressure profile in diagnosing bladder outlet obstruction due to benign prostatic hyperplasia[J].J Amry Med Univ (J Third Mil Med Univ),2014,36(08):821-824.
Yang Xingliang,Zhao Jiang,Feng Guangui,Yu Wei,Li Longkun.Role of resting urethral pressure profile in diagnosing bladder outlet obstruction due to benign prostatic hyperplasia[J].J Amry Med Univ (J Third Mil Med Univ),2014,36(08):821-824.DOI:
Objective To investigate the value of resting urethral pressure profile (RUPP) in the diagnosis of bladder outlet obstruction (BOO) due to benign prostatic hyperplasiat (BPH). Methods Urodynamic and clinical data of 119 patients with BPH between August 2011 and August 2013 in our department were analyzed retrospectively. According to pressure-uroflow study (P/Q)
patients were divided into 3 groups: obstructed
equivocal obstructed and unobstructed
and the parameters of RUPP among different groups were compared. Multivariate logistic regression analysis was used to establish a regression model. Meanwhile
the Receiver operating characteristic (ROC) curves were used to investigate the value of different RUPP index and the regression model in assessing BOO due to BPH. Results Most parameters on RUPP in the obstructed group were significantly higher than those in the unobstructed group
such as prostatic length
functional profile length
pressure of bladder neck
pressure of seminal colliculus and prostatic plateau area (PPA)
except for maximum urethral pressure and maximum urethral closure pressure. The ROC curve exhibited that the regression model that combined PPA and pressure of seminal colliculus showed the best diagnostic value in all RUPP parameters (the area under ROC curve was 0.968). In the individual parameters
PPA had the largest area under the ROC curve (AUC=0.893)
showing better diagnostic power. Conclusion RUPP parameters can be used to evaluate the grade of obstruction due to BPH when the patients failed to be examined by P/Q. Among all the parameters the regression model is the best one for diagnosis.