ABSTRACT
Objective To investigate correlation between bladder wall thickness (BWT) and upper urinary tract damage (UTD) in patients with neurogenic lower urinary tract dysfunction (NLUTD),and to evaluate the value of BWT in predicting UTD.Methods To retrospectively analyze clinical data of NLTUDpatients admitted from January 2013 to October 2017.Of the 161 patients,92 were male and 69 were female.The mean age was (39.5 ± 18.4) years old,ranged from 18 to 81 years old.83 cases had hydronephrosis,64 cases had unilateral or bilateral ureteral dilation and 14 cases had ureteral reflux.In 30 cases,the serum creatinine was abnormal (290.7 ± 164.0) μmol/L,ranging 125-938 pmol/L.The mean GFR in 17 cases was(45.2 ± 23.0) ml/(min · 1.73 m2),ranged from 84.3 to 14.6 mL/ (min · 1.73 me).According to the presence or absence of UTD,NLUTD patients were divided into experimental group and control group,101 cases of UTD combined experimental group,and 60 cases of UTD-free control group.There were 60 male patients and 41 female patients in the experimental group with mean age of (37.9 ± 19.1) years old.In the control group,there were 32 male patients and 28 female patients with mean age of (42.3 ± 16.8) years old,There was no statistical difference between the two groups (P ＞ 0.05).There were 59 cases and 5 cases of hydronephrosis in the experimental group and the control group,respectively.There were 12 cases and 2 cases of ureteral dilation patients in the experimental group and the control group,respectively.The differences in BWT and urodynamic parameters between the two groups were compared.The ROC curve was used to determine the cutoff value of BWT in the diagnosis of UTD and the correlation between BWT and UTD and urodynamic parameters was analyzed.Results 161 patients had a BWT of 2 to 25 mm with a median value of 7.0 (7.1) mm.119 patients underwent urodynamic examination with bladder compliance of 0.8 to 141.5 ml/cmH2O,median value of 12.7 (22.8) ml/cmH2O.The median value of median pressure capacity (MCC) was 256 (171) ml,ranged from 49 to 700 ml.The median value of Pdetmax was34 (19.1)cmH2O,ranged from 3 to 144 cmH2O.The median BWT values of the test and control groups were 9.0 (5.0) mm and 4.0 (5.7) mm,respectively (Z =-5.931,P ＜ 0.001).The median bladder compliance was 9.3 (15.3) ml/cmH2O and 24.2 (38.7) ml/cmH2 O,respectively (Z =-4.07,P ＜ 0.05).The MCC was 225.0 (159.0) ml and 310.6 (140.5) ml,respectively (Z =-2.22,P ＜ 0.05).The median Pdetmax during filling was 40.0 (20.4) emH2 O and 29.2 (18.4) cmH2 O,respectively (Z =-2.92,P ＜ 0.05).Using multivariate correlation analysis,BWT was negatively correlated with bladder compliance (r =-0.419,P ＜0.001) and negatively correlated with maximum bladder pressure capacity (r =-0.198,P =0.031),with the largest filling period.Pdetmax was positively correlated (r =0.251,P =0.006).Using the ROC curve to determine the threshold,the sensitivity of the UTD is 86.1％ and the specificity is 53.3％ when BWT≥4.8 mm.Conclusions BWT thickening is one of the risk factors for UTD in patients with NLUTD.When BWT is greater than 4.8 mm,NLUTD patients are more likely to have UTD and can be used as an examination method for the diagnosis of UTD in NLUTD patients.
ABSTRACT
This study proposed a decision tree model to screen upper urinary tract damage (UUTD) for patients with neurogenic bladder (NGB). Thirty-four NGB patients with UUTD were recruited in the case group, while 78 without UUTD were included in the control group. A decision tree method, classification and regression tree (CART), was then applied to develop the model in which UUTD was used as a dependent variable and history of urinary tract infections, bladder management, conservative treatment, and urodynamic findings were used as independent variables. The urethra function factor was found to be the primary screening information of patients and treated as the root node of the tree; Pabd max (maximum abdominal pressure, >14 cmH2O), Pves max (maximum intravesical pressure, ≤89 cmH2O), and gender (female) were also variables associated with UUTD. The accuracy of the proposed model was 84.8%, and the area under curve was 0.901 (95%CI=0.844-0.958), suggesting that the decision tree model might provide a new and convenient way to screen UUTD for NGB patients in both undeveloped and developing areas.