Objectives To evaluate the relation between voided volume and void trial “success” to create an algorithm that minimizes the need for postvoid residual volume (PVR) assessment in backfill-assisted void trials. Methods This article is an ancillary analysis of deidentified data from a randomized trial evaluating prophylactic antibiotics after urogynecologic surgery. Void trials were routinely performed after surgery; voided volumes, PVR, and void trial outcomes were collected. The void trial regimen was as follows: the bladder was backfilled with 300 mL of normal saline or until the patient reported the urgency to void, the catheter was removed, and the participant was prompted to void immediately. PVR volume was measured either by sonographic bladder scan or catheterization. Voided volumes were categorized in 25-mL increments from 50 to 225 mL. For each voided volume range, the PVR and void trial outcome data were incorporated to calculate sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) in terms of ability of voided volume alone to predict a passing void trial result. An algorithm was created using the voided volumes that optimize PPV and NPV. Results The study population included 255 participants. Voided volumes <100 mL and ≥200 mL were identified as optimal thresholds to predict failure and passage of backfill-assisted void trials, respectively. When patients voided <100 mL, 3% passed their void trial (NPV odds ratio 96.7, 95% confidence interval 88.6–99.5). When patients voided ≥200 mL, 97% passed (PPV odds ratio 97.4, 95% confidence interval 93.5–99.3). Conclusions We propose an algorithm for void trials after urogynecologic surgery. After backfilling the bladder if voided volume is ≥200 mL, the void trial is successful and no PVR is needed; if voided volume is between 100 and 199 mL, the void trial is indeterminate and PVR is recommended; and if voided volume is <100 mL, the void trial is unsuccessful and catheterization is needed. Applying this algorithm to our study population would have eliminated the need for PVR in 85% of patients. Calculated PPVs and NPVs depend on the prevalence of voiding dysfunction in the population being studied, and therefore may be unique to our institution.
Aims Women with overactive bladder (OAB) have a higher frequency of a single‐nucleotide polymorphism (SNP) at codon 64 of the β‐3 adrenergic receptor gene (ADRB3). Since the SNP results in an amino acid substitution that could theoretically alter receptor protein function, we hypothesized that those with the SNP would display greater OAB symptom severity. Therefore we aimed to compare OAB severity between women with this SNP and women with the wild type genotype. Methods A retrospective cohort study was performed in women with bothersome OAB from two academic institutions. Banked blood samples were tested for the codon 64 SNP. Women were divided into two groups based on genotype: wild‐type (WT) and heterozygous (HZ). We compared mean OAB Symptom Severity questionnaire (OAB‐q) scores between groups using t tests. Linear regression was performed to control for potential confounders. Results Of the 303 women with OAB, 254 (83.8%) had the WT genotype, and 49 (16.2%) the HZ genotype. There were no homozygous women for the rare allele. The majority were Caucasian (86%) and non‐Hispanic (97%). There were no significant differences in mean OAB‐q symptom severity scores (WT 21.2 ± 7 vs HZ 22.0 ± 6.6; P = 0.49) and quality of life scores (WT 39.6 ± 15.5 vs HZ 39.1 ± 16.6; P = 0.83) between groups. These remained nonsignificant in a linear regression model. Conclusions In a predominantly non‐Hispanic, Caucasian population of women with bothersome OAB, symptom severity was not related to ADRB3 codon 64 SNP genotype.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.