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PD34-04 IMPACT OF COGNITIVE FUNCTION IN OLDER PATIENTS UNDERGOING SACRAL NEUROMODULATION FOR OVERACTIVE BLADDER: A PROSPECTIVE STUDY

2022· article· en· W4225249945 on OpenAlexaboutno aff
Jacqueline Zillioux, Sarah Martin, Lauren Gleich, Glenn T. Werneburg, Emily Slopnick, Raymond R. Rackley, Sandip P. Vasavada, Bradley C. Gill, Howard B. Goldman

Bibliographic record

VenueThe Journal of Urology · 2022
Typearticle
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsnot available
Fundersnot available
KeywordsOveractive bladderMedicineSacral nerve stimulationProspective cohort studyCognitionNeuromodulationInterimCognitive declineDementiaUrologyInternal medicinePsychiatryDiseaseAlternative medicinePathology

Abstract

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You have accessJournal of UrologyCME1 May 2022PD34-04 IMPACT OF COGNITIVE FUNCTION IN OLDER PATIENTS UNDERGOING SACRAL NEUROMODULATION FOR OVERACTIVE BLADDER: A PROSPECTIVE STUDY Jacqueline Zillioux, Sarah Martin, Lauren Gleich, Glenn T. Werneburg, Emily Slopnick, Raymond R. Rackley, Sandip Vasavada, Bradley Gill, and Howard B. Goldman Jacqueline ZilliouxJacqueline Zillioux More articles by this author , Sarah MartinSarah Martin More articles by this author , Lauren GleichLauren Gleich More articles by this author , Glenn T. WerneburgGlenn T. Werneburg More articles by this author , Emily SlopnickEmily Slopnick More articles by this author , Raymond R. RackleyRaymond R. Rackley More articles by this author , Sandip VasavadaSandip Vasavada More articles by this author , Bradley GillBradley Gill More articles by this author , and Howard B. GoldmanHoward B. Goldman More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000002585.04AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Overactive bladder (OAB) and cognitive impairment (CI) are both increasingly prevalent with age. Given the association between anticholinergics and dementia, there is need to optimize other therapies. SUFU/AUA OAB guidelines cite adequate cognitive function as necessary for sacral neuromodulation (SNM); however, the impact of CI on SNM in older patients remains unknown. This is an interim analysis of a prospective study assessing the impact of cognitive function on outcomes of SNM for refractory OAB. METHODS: With IRB-approval, we recruited patients aged ≥60 years scheduled for test-phase (peripheral nerve evaluation (PNE) or stage 1) SNM for refractory OAB. Baseline cognitive function was assessed using the validated Montreal Cognitive Assessment (MoCA) screening test. Scores ≥26/30 are considered normal and <26 considered CI. Patients completed validated questionnaires (OAB-q SF, IIQ7, UDI-6, PGI-I) at baseline and 1-month follow-up (if implanted). Number of program adjustments performed by the patient and whether patients demonstrated appropriate device use (i.e. familiarity with communicator/programmer) were recorded. Implant rate, patient-reported questionnaires, and SNM utilization were compared based on MoCA/CI. RESULTS: 27 patients underwent test-phase (17 PNE, 10 Stage 1). Mean age was 71.9 (6.7) years. Median baseline MoCA was 24 [21.5,26.5], ranging 14-29. Although 5 (19%) patients had a pre-existing CI diagnosis, 16 (59%) demonstrated CI per MoCA. The table compares patient characteristics, baseline questionnaires and utilization outcomes based on CI. Overall, 23 (85%) patients underwent permanent implant after successful test-phase. Implant rates did not differ based on MoCA or CI. Among 15 patients with 1-month follow-up, those demonstrating appropriate device use had significantly higher MoCA scores (26 vs 17, p=0.004). Postoperative change in validated questionnaires scores, however, did not differ. CONCLUSIONS: Despite few pre-existing diagnoses, there is a high incidence of CI in older patients with OAB undergoing SNM. While implant rate did not differ based on MoCA/CI, patients with lower MoCA scores were less likely to demonstrate appropriate device use on follow-up. Impact on clinical efficacy of SNM remains to be determined. Source of Funding: Medtronic © 2022 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 207Issue Supplement 5May 2022Page: e560 Advertisement Copyright & Permissions© 2022 by American Urological Association Education and Research, Inc.MetricsAuthor Information Jacqueline Zillioux More articles by this author Sarah Martin More articles by this author Lauren Gleich More articles by this author Glenn T. Werneburg More articles by this author Emily Slopnick More articles by this author Raymond R. Rackley More articles by this author Sandip Vasavada More articles by this author Bradley Gill More articles by this author Howard B. Goldman More articles by this author Expand All Advertisement PDF DownloadLoading ...

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.335
Teacher spread0.313 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2022
Admission routes1
Has abstractyes

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