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Record W4399793089 · doi:10.1093/jsxmed/qdae054.090

(095) CHRONIC EPIDURAL SPINAL CORD STIMULATION AS A POTENTIAL TREATMENT FOR SEXUAL DYSFUNCTION IN WOMEN WITH SPINAL CORD INJURY

2024· article· en· W4399793089 on OpenAlexaff
Elizabeth C. Bottorff, C R Shackleton, Andrei V. Krassioukov, Théoden I. Netoff, David Darrow

Bibliographic record

VenueThe Journal of Sexual Medicine · 2024
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsInternational Collaboration On Repair DiscoveriesUniversity of British Columbia
Fundersnot available
KeywordsMedicineSexual dysfunctionSpinal cord injurySexual functionOrgasmSpinal cordSex organAnesthesiaPhysical therapySurgeryInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Abstract Introduction Spinal cord injury (SCI) is a lifelong condition that affects approximately 294,000 individuals in the United States, with an estimated 17,900 new cases occurring each year. Despite sexual function being reported as a top priority to restore after injury, research on sexual dysfunction after SCI is scarce, especially among people with gynecological anatomy. One major challenge in treating female sexual dysfunction (FSD) after SCI is the heterogeneity of symptoms. Women can have impacted libido, genital sensitivity, lubrication, and/or ability to orgasm. This is further complicated by the comorbidities of bladder and bowel dysfunction, which are also common after SCI. Epidural spinal cord stimulation (eSCS) has emerged as a promising treatment for SCI, demonstrating positive results across various domains for motor-complete patients, including bladder, bowel, and sexual function. Objective The primary objective is to determine if chronic eSCS improves survey-reported sexual function after SCI in women. The secondary objective is to determine if chronic eSCS improves survey-reported bladder and bowel function. Methods Seven female participants who are motor and sensory complete after traumatic SCI with injury levels between cervical (C)6 and thoracic (T)10 were recruited for the study. Participants were implanted with a 16-contact paddle lead epidural spinal cord stimulation at the T11-T12 level and followed for 13 months. The Female Sexual Distress Scale (FSDS), Neurogenic Bowel Dysfunction Score (NBDS), and Neurogenic Bladder Symptom Score (NBSS) were administered monthly. Participants received continuous stimulation over 13 months. A generalized linear model was created for each outcome to examine trends in function over time with an alpha of 0.025 (Bonferroni corrected). Results In the first 6 participants analyzed, we found that sexual distress improves over time (p<0.001) in the largest series of women participants with SCI targeted for restoration of function (Figure 1). One woman reported restoration of orgasm after five years of chronic SCI. Additionally, we found a statistically significant improvement in bowel function as measured by the NBDS with stimulation (p<0.003) from the generalized linear mixed effects fit corresponding to the follow-up visit number. There were no statistically significant trends in the NBSS scores, however, one participant noted that she no longer uses an intermittent catheter to empty her bladder indicating functional improvements that are not captured by the survey. Conclusions Epidural SCS is a promising therapy to improve female sexual function after chronic SCI. Although quantitative surveys remain the most valid and reliable measures of pelvic organ function after SCI, we saw improvements in function that were not captured by the questionnaires. Still, we found significant improvements in validated surveys of bowel function and female sexual distress over time. These high-priority outcomes for women with SCI are potential targets of restoration using commercially available spinal cord stimulation. Disclosure Yes, this is sponsored by industry/sponsor: Abbott. Clarification: No industry support in study design or execution. Any of the authors act as a consultant, employee or shareholder of an industry for: Stim Sherpa.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.891
Threshold uncertainty score0.733

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.053
GPT teacher head0.371
Teacher spread0.317 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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