Evidence map›Paper›PMID 41630370›Full record

ArticleNeurourology and urodynamics2026

Development and Validation of a Nomogram for Predicting Urinary Tract Infection After Urodynamic Study.

Omri Schwarztuch Gildor, Elad Yosef, Netanel Levin, Anna Itshak, Rony Vainrib, Amos Neheman, Michael Vainrib

Abstract readValidation Study
In one paragraph

Article in Neurourology and urodynamics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Omri Schwarztuch GildorDepartment of Urology, Meir Medical Center, Kfar-Saba, Israel.ORCID https://orcid.org/0000-0003-4675-4214
Elad YosefDepartment of Urology, Meir Medical Center, Kfar-Saba, Israel.
Netanel LevinDepartment of Urology, Meir Medical Center, Kfar-Saba, Israel.
Anna ItshakDepartment of Urology, Meir Medical Center, Kfar-Saba, Israel.
Rony VainribFaculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel.
Amos NehemanDepartment of Urology, Meir Medical Center, Kfar-Saba, Israel.ORCID https://orcid.org/0000-0003-3664-8303
Michael VainribDepartment of Urology, Meir Medical Center, Kfar-Saba, Israel.ORCID https://orcid.org/0000-0003-4490-7141

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe use of antibiotic prophylaxis before urodynamic studies has been debated for a long time, with no clear consensus among international guidelines. Based on identified predictors of urinary tract infection after urodynamic studies, this study aims to develop and internally validate a nomogram to predict post-urodynamic study urinary tract infection and assess its clinical net benefit to support selective antibiotic prophylaxis.

methodsMultivariable logistic regression identified final predictors; coefficients were converted into a user-friendly nomogram. Performance was evaluated using the area under the receiver operating characteristic curve (ROC-AUC), Brier score, calibration (bootstrap-corrected), and precision-recall AUC (average precision). Decision curve analysis was used to evaluate the clinical net-benefit of the nomogram.

resultsThe nomogram includes five routinely available variables: hydronephrosis, neurological lower urinary tract dysfunction, post-void residual volume ≥ 200 mL, age ≥ 70, and the use of an indwelling catheter or performing clean intermittent catheterization. Discrimination was fair (ROC AUC 0.7086). Overall accuracy was good (Brier 0.0180). Calibration showed good agreement after bootstrap correction. Average precision was 0.0508, exceeding the base prevalence. Decision curve analysis demonstrated a positive net benefit relative to both the treat-all and treat-none strategies at low clinical thresholds (<5%).

conclusionThis simple, well-calibrated nomogram provides individualized post-UDS UTI risk estimates and shows decision-analytic benefit in the stewardship-relevant range. It may help target AP to higher-risk patients while safely reducing unnecessary antibiotics. External validation is warranted.

Indexed as

Diagnostic Techniques, UrologicalNomogramsUrinary Tract InfectionsUrodynamicsAgedAntibiotic ProphylaxisDecision Support TechniquesFemaleHumansMaleMiddle AgedPredictive Value of TestsRisk Factorsantibiotic prophylaxiscalibrationdecision curve analysisnomogramsurinary tract infectionsurodynamics

Identifiers

PMID41630370
PMCPMC12983436

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.