Dataset Information

Models for Predicting Recurrence, Complications, and Health Status in Women After Pelvic Organ Prolapse Surgery.

ABSTRACT: OBJECTIVE:To develop statistical models predicting recurrent pelvic organ prolapse, surgical complications, and change in health status 12 months after apical prolapse surgery. METHODS:Logistic regression models were developed using a combined cohort from three randomized trials and two prospective cohort studies from 1,301 participants enrolled in surgical studies conducted by the Pelvic Floor Disorders Network. Composite recurrent prolapse was defined as prolapse beyond the hymen; the presence of bothersome bulge symptoms; or prolapse reoperation or retreatment within 12 months after surgery. Complications were defined as any serious adverse event or Dindo grade III complication within 12 months of surgery. Significant change in health status was defined as a minimum important change of SF-6D utility score (±0.035 points) from baseline. Thirty-two candidate risk factors were considered for each model and model accuracy was measured using concordance indices. All indices were internally validated using 1,000 bootstrap resamples to correct for bias. RESULTS:The models accurately predicted composite recurrent prolapse (concordance index=0.72, 95% CI 0.69-0.76), bothersome vaginal bulge (concordance index=0.73, 95% CI 0.68-0.77), prolapse beyond the hymen (concordance index=0.74, 95% CI 0.70-0.77), serious adverse event (concordance index=0.60, 95% CI 0.56-0.64), Dindo grade III or greater complication (concordance index=0.62, 95% CI 0.58-0.66), and health status improvement (concordance index=0.64, 95% CI 0.62-0.67) or worsening (concordance index=0.63, 95% CI 0.60-0.67). Calibration curves demonstrated all models were accurate through clinically useful predicted probabilities. CONCLUSION:These prediction models are able to provide accurate and discriminating estimates of prolapse recurrence, complications, and health status 12 months after prolapse surgery.

SUBMITTER: Jelovsek JE

PROVIDER: S-EPMC6060003 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Models for Predicting Recurrence, Complications, and Health Status in Women After Pelvic Organ Prolapse Surgery.

Jelovsek J Eric JE Chagin Kevin K Lukacz Emily S ES Nolen Tracy L TL Shepherd Jonathan P JP Barber Matthew D MD Sung Vivian V Brubaker Linda L Norton Peggy A PA Rahn David D DD Smith Ariana L AL Ballard Alicia A Jeppson Peter P Meikle Susan F SF Kattan Michael W MW

Obstetrics and gynecology 20180801 2

<h4>Objective</h4>To develop statistical models predicting recurrent pelvic organ prolapse, surgical complications, and change in health status 12 months after apical prolapse surgery.<h4>Methods</h4>Logistic regression models were developed using a combined cohort from three randomized trials and two prospective cohort studies from 1,301 participants enrolled in surgical studies conducted by the Pelvic Floor Disorders Network. Composite recurrent prolapse was defined as prolapse beyond the hyme ...[more]

PMID: 29995735

Similar Datasets

Project description:To describe pelvic organ prolapse surgical success rates using a variety of definitions with differing requirements for anatomic, symptomatic, or re-treatment outcomes.Eighteen different surgical success definitions were evaluated in participants who underwent abdominal sacrocolpopexy within the Colpopexy and Urinary Reduction Efforts trial. The participants' assessments of overall improvement and rating of treatment success were compared between surgical success and failure for each of the definitions studied. The Wilcoxon rank sum test was used to identify significant differences in outcomes between success and failure.Treatment success varied widely depending on definition used (19.2-97.2%). Approximately 71% of the participants considered their surgery "very successful," and 85.2% considered themselves "much better" than before surgery. Definitions of success requiring all anatomic support to be proximal to the hymen had the lowest treatment success (19.2-57.6%). Approximately 94% achieved surgical success when it was defined as the absence of prolapse beyond the hymen. Subjective cure (absence of bulge symptoms) occurred in 92.1% while absence of re-treatment occurred in 97.2% of participants. Subjective cure was associated with significant improvements in the patient's assessment of both treatment success and overall improvement, more so than any other definition considered (P<.001 and <.001, respectively). Similarly, the greatest difference in symptom burden and health-related quality of life as measured by the Pelvic Organ Prolapse Distress Inventory and Pelvic Organ Prolapse Impact Questionnaire scores between treatment successes and failures was noted when success was defined as subjective cure (P<.001).The definition of success substantially affects treatment success rates after pelvic organ prolapse surgery. The absence of vaginal bulge symptoms postoperatively has a significant relationship with a patient's assessment of overall improvement, while anatomic success alone does not.II.

Project description:ObjectiveTo assess whether resting genital hiatus, perineal body, and total vaginal length measured intraoperatively at the conclusion of surgery are associated with prolapse recurrence 2 years after native tissue pelvic organ prolapse reconstruction.MethodsThis ancillary analysis of the OPTIMAL (Operations and Pelvic Muscle Training in the Management of Apical Support Loss) trial included women who had an immediate postoperative pelvic organ prolapse quantification (POP-Q) examination and 2-year follow-up. Primary outcome was bothersome bulge symptoms. Secondary outcomes were anatomic failure, surgical failure (either anatomic failure or bothersome bulge symptoms), and sexual function. Descriptive statistics assessed relationships between postprocedure POP-Q measures and these four outcomes. Multivariable models were fit to the data to control for baseline differences in bivariate comparisons. Receiver operating characteristic curves were generated to identify an optimal genital hiatus cut point associated with bothersome bulge, and this threshold was explored.ResultsThis analysis included 368 participants. Bivariate analyses identified age, body mass index, vaginal deliveries, baseline genital hiatus, perineal body, and advanced POP-Q stage (3 or higher vs 2) as clinically relevant variables to include in multivariable models. After adjusting for these variables, the association between immediate postoperative genital hiatus and bothersome bulge (adjusted odds ratio [aOR] 1.4; 95% CI 0.9-2.1) was not significant at the P<.05 level; however, immediate postoperative genital hiatus was associated with anatomic (aOR 1.6; 95% CI 1.1-2.3) and surgical failure (aOR 1.5; 95% CI 1.0-2.1). Immediate postoperative genital hiatus of 3.5 cm was the selected cutoff (area under the curve 0.58, 95% CI 0.50-0.66 from the bothersome bulge model). Women with genital hiatus 3.5 cm or greater were more likely to have anatomic and surgical failures at 2 years. No POP-Q measures were correlated with 2-year sexual function.ConclusionA larger immediate postoperative genital hiatus measurement of 3.5 cm or greater is not associated with bothersome bulge symptoms or sexual dysfunction but is associated with anatomic and surgical failures 2 years after native tissue vaginal reconstructive surgery.

Project description:Background Pelvic Floor Muscle Training (PFMT) has been shown to be effective for pelvic organ prolapse in women, but its implementation in routine practice is challenging due to lack of adequate specialist staff. It is important to know if PFMT can be delivered by different staff skill mixes, what barriers and facilitators operate in different contexts, what strategies enable successful implementation and what are the underlying mechanisms of their action. PROPEL intervention was designed to maximise the delivery of effective PFMT in the UK NHS using different staff skill mixes. We conducted a realist evaluation (RE) of this implementation to understand what works, for whom, in what circumstances and why. Methods Informed by the Realist and RE-AIM frameworks, the study used a longitudinal, qualitative, multiple case study design. The study took place in five, purposively selected, diverse NHS sites across the UK and proceeded in three phases to identify, test and refine a theory of change. Data collection took place at 4 time points over an 18?month implementation period using focus groups and semi-structured interviews with a range of stakeholders including service leads/managers, senior practitioners, newly trained staff and women receiving care in the new service models. Data were analysed using thematic framework approach adapted to identify Context, Mechanism and Outcome (CMO) configurations of the RE. Results A heightened awareness of the service need among staff and management was a mechanism for change, particularly in areas where there was a shortage of skilled staff. In contrast, the most established specialist physiotherapist-delivered PFMT service activated feelings of role protection and compromised quality, which restricted the reach of PFMT through alternative models. Staff with some level of prior knowledge in women’s health and adequate organisational support were more comfortable and confident in new role. Implementation was seamless when PFMT delivery was incorporated in newly trained staff’s role and core work. Conclusion Roll-out of PFMT delivery through different staff skill mixes is possible when it is undertaken by clinicians with an interest in women’s health, and carefully implemented ensuring adequate levels of training and ongoing support from specialists, multi-disciplinary teams and management.

Dataset Information

Models for Predicting Recurrence, Complications, and Health Status in Women After Pelvic Organ Prolapse Surgery.

Publications

Models for Predicting Recurrence, Complications, and Health Status in Women After Pelvic Organ Prolapse Surgery.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets