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PD59-12 DOES COGNITIVE IMPAIRMENT IMPACT SACRAL NEUROMODULATION SUCCESS IN OLDER ADULTS?

2024· article· en· W4394803077 on OpenAlexaboutno aff
Howard B. Goldman, Jacquelyn Booher, Lauren Gleich, Omer Anis, Tyler Trump, Emily Emily, Bradley C. Gill, Jacqueline Zillioux

Bibliographic record

VenueThe Journal of Urology · 2024
Typearticle
Languageen
FieldMedicine
TopicPain Management and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsCognitive impairmentNeuromodulationSacral nerve stimulationPhysical medicine and rehabilitationCognitionMedicinePsychologyNeuroscienceSurgery

Abstract

fetched live from OpenAlex

You have accessJournal of UrologyUrodynamics/Lower Urinary Tract Dysfunction/Female Pelvic Medicine: Neuromodulation (PD59)1 May 2024PD59-12 DOES COGNITIVE IMPAIRMENT IMPACT SACRAL NEUROMODULATION SUCCESS IN OLDER ADULTS? Chen Shenhar, Howard B. Goldman, Jacquelyn Booher, Lauren Gleich, Omer Anis, Tyler Trump, Emily Emily, Bradley Gill, and Jacqueline Zillioux Chen ShenharChen Shenhar , Howard B. GoldmanHoward B. Goldman , Jacquelyn BooherJacquelyn Booher , Lauren GleichLauren Gleich , Omer AnisOmer Anis , Tyler TrumpTyler Trump , Emily EmilyEmily Emily , Bradley GillBradley Gill , and Jacqueline ZilliouxJacqueline Zillioux View All Author Informationhttps://doi.org/10.1097/01.JU.0001009544.34256.8a.12AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Overactive bladder (OAB) and cognitive impairment (CI) are both increasingly prevalent with age. Concern regarding the cognitive safety of anticholinergic OAB medications has highlighted the importance of optimizing alternative safe and effective therapies in older patients with OAB, including those with cognitive impairment (CI). The objective of this study is to assess the impact of cognitive function on sacral neuromodulation (SNM) outcomes in older patients. METHODS: This is an IRB-approved prospective study. Patients aged ≥60 years scheduled for test-phase (peripheral nerve evaluation (PNE) or stage 1) SNM for refractory OAB were recruited. Cognitive function was assessed using the validated Montreal Cognitive Assessment (MoCA) tool, with scores <26/30 considered CI. Patients underwent initial and follow-up assessments utilizing validated questionnaires (OAB-q SF, IIQ7, UDI-6, PGI-I). Baseline functional status and technology comfort/use were assessed with a novel questionnaire. The primary outcome of test-phase success (>50% improvement in baseline symptoms) was compared based on presence of CI. Secondary outcomes included urinary questionnaire scores and device utilization. RESULTS: 92 patients were recruited, of which 88 underwent test-phase (60 PNE, 28 Stage 1). Mean age was 73±8 years and the majority were female (89%). Mean MoCA score was 23.7±4.1 (range 13 -30), and 63% met criteria for CI (MoCA <26). Patients with CI had lower baseline technology use and confidence. Patient reported measures of OAB symptom severity and impact were similar across the 2 groups. Overall test-phase success was 89% and did not differ based on CI (91% vs 87%, p=0.60). At a mean follow-up of 35±19 days, while patients with CI demonstrated lower rates of appropriate SNM controller use and amplitude changes, the reported symptom and impact outcomes did not differ. CONCLUSIONS: Older patients presenting for SNM testing for OAB have a high incidence of mild and moderate cognitive impairment, also associated with reduced comfort with technology. Test-phase success and short-term patient-reported outcomes after implant were not impacted by cognitive impairment, though long-term results are still unknown. Source of Funding: Investigator initiated Medtronic research grant © 2024 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 211Issue 5SMay 2024Page: e1225 Advertisement Copyright & Permissions© 2024 by American Urological Association Education and Research, Inc.Metrics Author Information Chen Shenhar More articles by this author Howard B. Goldman More articles by this author Jacquelyn Booher More articles by this author Lauren Gleich More articles by this author Omer Anis More articles by this author Tyler Trump More articles by this author Emily Emily More articles by this author Bradley Gill More articles by this author Jacqueline Zillioux 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)0.008
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.203

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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)0.0610.010

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 head0.009
GPT teacher head0.294
Teacher spread0.285 · 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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Citations1
Published2024
Admission routes1
Has abstractyes

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