| Literature DB >> 32104707 |
Yukun Wu1, Binshen Chen1, Chunxiao Liu1.
Abstract
OBJECTIVE: To assess the value of clinically relevant data for predicting the failure of removal of the urinary catheter within 48 hours after TUERP. Materials and Methods. We retrospectively analyzed the medical records of 357 patients who underwent TUERP between January 2015 and July 2018, all of whom stopped bladder irrigation and removed urinary catheter within 48 hours after the operation. According to whether the removal of the catheter was successful, the patients were classified into 2 groups: Group A was successful and group B was a failure. Univariate analysis was performed to determine the association between the failure of removal of the catheter and the patients' preoperative clinical characteristics. Logistic regression analysis and receiver operating characteristic analysis (ROC) were conducted to establish the prediction model. Then the area under the curve (AUC) and the cut-off value were calculated.Entities:
Mesh:
Year: 2020 PMID: 32104707 PMCID: PMC7040379 DOI: 10.1155/2020/8241637
Source DB: PubMed Journal: Biomed Res Int Impact factor: 3.411
Preoperative clinical characteristics of enrolled patients.
| Group A ( | Group B ( |
| |
|---|---|---|---|
| Age (years) | 70.00 ± 8.98 | 71.00 ± 7.67 | 0.770 |
| PSA (ng/L) | 6.20 ± 5.69 | 9.03 ± 8.44 | 0.047 |
| Cr ( | 87.00 ± 52.75 | 85.50 ± 55.46 | 0.294 |
| Surgery time (min) | 70.00 ± 32.66 | 72.50 ± 27.42 | 0.931 |
| PVR (219) | 20.00 ± 183.80 (179) | 70.00 ± 177.33 (40) | ≤0.001 |
| QoL | 5 ± 1.47 | 6 ± 0.693 | ≤0.001 |
| TPV (mL) | 55.43 ± 44.16 | 42.31 ± 42.54 | 0.043 |
| Drug medication | 162 (53.1%) | 17 (32.7%) | 0.006 |
| History of AUR | 82 (26.9%) | 27 (51.9%) | ≤0.001 |
| Surgical methods | |||
| Bipolar | 215 (70.5%) | 37 (71.2%) | 0.923 |
| Laser | 90 (29.5%) | 15 (28.8%) | |
| Hypertension | 128 (42.0%) | 27 (51.9%) | 0.181 |
| Diabetes | 80 (26.2%) | 14 (26.9%) | 0.916 |
| Smoking | 108 (35.4%) | 26 (50.0%) | 0.045 |
| Drinking | 129 (42.3%) | 25 (48.1%) | 0.437 |
| IPSS | |||
| Asymptomatic (0) | 0 (0.0%) | 0 (0.0%) | ≤0.001∗ |
| Mildly symptomatic (1 ≤ IPSS ≤ 7) | 24 (7.9%) | 0 (0.0%) | |
| Moderately symptomatic (8 ≤ IPSS ≤ 19) | 134 (43.9%) | 12 (23.1%) | |
| Severely symptomatic (20 ≤ IPSS ≤ 35) | 147 (48.2%) | 40 (76.9%) | |
| Urine WBC | |||
| − | 160 (52.5%) | 22 (42.3%) | 0.305 |
| +/− | 26 (8.5%) | 7 (13.5%) | |
| + | 119 (39.0%) | 23 (44.2%) | |
| BMI | |||
| Underweight (BMI ≤ 18.49) | 22 (7.2%) | 3 (5.8%) | 0.817 |
| Normal weight (18.5 ≤ BMI ≤ 24.99) | 200 (65.6%) | 35 (67.3%) | |
| Overweight (25.0 ≤ BMI ≤ 29.99) | 77 (25.2%) | 12 (23.1%) | |
| Obesity (30 ≤ BMI) | 6 (2.0%) | 2 (3.8%) | |
| IPP (mm) | |||
| Grade I (0 ≤ IPP ≤ 4.9) | 193 (62.3%) | 19 (36.5%) | ≤0.001 |
| GradeII (5 ≤ IPP ≤ 9.9) | 23 (7.5%) | 2 (3.9%) | |
| Grade III (10 ≤ IPP) | 89 (29.2%) | 31 (59.6%) |
Values are presented as median ± standard deviation. Significant values; P < 0.05.
Multiple regression analysis of clinical variables.
| Variables | B | S.E. |
| Exp (B) | 95% C.I. for EXP (B) | |
|---|---|---|---|---|---|---|
| Lower | Upper | |||||
| IPSS | −1.376 | 0.503 | 0.006 | 0.253 | 0.094 | 0.678 |
| QoL | −1.185 | 0.326 | ≤0.001 | 0.306 | 0.161 | 0.579 |
| Drug medication | −1.062 | 0.471 | 0.024 | 0.346 | 0.137 | 0.870 |
| History of AUR | 1.079 | .0539 | 0.045 | 2.943 | 1.024 | 8.459 |
| TPV | 0.030 | 0.009 | 0.001 | 1.030 | 1.012 | 1.049 |
| IPP | −0.867 | 0.290 | 0.003 | 0.420 | 0.238 | 0.742 |
| Constant | 10.862 | 2.642 | ≤0.001 | |||
B: regression coefficient; CI: confidence interval; Exp (B): odds ratio; SE: standard error; significant values; P < 0.05.
Figure 1ROC curves to determine the cut-off values, sensitivity, and specificity of the variables.
AUC, cut-off value, sensitivity, specificity, PPV, and NPV of each variable.
| Variables | AUC | Cut-off value | Sensitivity (%) | Specificity (%) |
|---|---|---|---|---|
| INDEX | 0.860 | 1.7725 | 74.1 | 84.6 |
| TPV | 0.588 | 37.03 | 75.1 | 46.2 |