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001). The objective and subjective cure rates were comparable after SIS and TOS procedures (objective 76% vs. 76%, p = 0.837; subjective 78% vs. 83%, p = 0.212). There were no significant differences in adverse events, except SISs had a shorter surgery time (16.4 ± 9.3 vs. 27.3 ± 12.4min, p = 0.020) and lower postoperative visual analog scale pain score (1.3 ± 1.1 vs. 3.9 ± 1.4, p < 0.001).
SISs and TOSs had similar surgical results in women with stress incontinence and ISD after at least 1year of follow-up. However, SISs had a shorter operation time and lower postoperative pain than TOSs.
SISs and TOSs had similar surgical results in women with stress incontinence and ISD after at least 1 year of follow-up. However, SISs had a shorter operation time and lower postoperative pain than TOSs.
Obstetric anal sphincter injury (OASI) is a complication with substantial maternal morbidity. The aim of this study was to develop a machine learning model that would allow a personalized prediction algorithm for OASI, based on maternal and fetal variables collected at admission to labor.
We performed a retrospective cohort study at a tertiary university hospital. Included were term deliveries (live, singleton, vertex). A comparison was made between women diagnosed with OASI and those without such injury. For formation of a machine learning-based model, a gradient boosting machine learning algorithm was implemented. Evaluation of the performance model was achieved using the area under the receiver-operating characteristic curve (AUC).
Our cohort comprised 98,463 deliveries, of which 323 (0.3%) were diagnosed with OASI. Applying a machine learning model to data recorded during admission to labor allowed for individualized risk assessment with an AUC of 0.756 (95% CI 0.732-0.780). According to this model, a lower number of previous births, fewer pregnancies, decreased maternal weight and advanced gestational week elevated the risk for OASI. With regard to parity, women with one previous delivery had approximately 1/3 of the risk for OASI compared to nulliparous women (OR = 0.3 (0.23-0.39), p < 0.001), and women with two previous deliveries had 1/3 of the risk compared to women with one previous delivery (OR = 0.35 (0.21-0.60), p < 0.001).
Our machine learning-based model stratified births to high or low risk for OASI, making it an applicable tool for personalized decision-making upon admission to labor.
Our machine learning-based model stratified births to high or low risk for OASI, making it an applicable tool for personalized decision-making upon admission to labor.
The Pelvic Floor Distress Inventory (PFDI) and PFDI-20 have been translated and validated into several languages with different measurement property values and are recommended by the International Consultation on Incontinence (ICI) as grade A for assessing pelvic floor dysfunction. Thus, the aim of the current study was to investigate the measurement properties of the PFDI and PFDI-20.
Systematic review conducted in August 2020 through a search performed in PubMed, SCOPUS, WoS, ScienceDirect, CINAHL, and Google Scholar for studies that evaluated the measurement properties of the PFDI and PFDI-20. The data were analyzed according to the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN).
Initially, 2857 studies were found, and 7 studies on PFDI and 25 on PFDI-20 were analyzed. The PFDI presented high quality of evidence for hypothesis testing, moderate for test-retest reliability and responsiveness, and very low quality of evidence for content validity. The PFDI-20her studies are needed to reevaluate all the measurement properties of these instruments."."
The objective was to report on the very long-term outcome of a published series of autologous pubovaginal slings (PVS) in women with stress urinary incontinence (SUI).
Following institutional review board approval, a cohort of well characterized, non-neurogenic women who underwent an autologous PVS (primary [PVS1] and secondary [PVS2]) for SUI was re-evaluated for their very long-term outcome status. Data collected included demographics, validated questionnaires (Urogenital Distress Inventory - short form [UDI-6], Incontinence Impact Questionnaire - short form 7, quality of life), SUI retreatment/operations, and subjective patient-reported SUI improvement (%) and symptom recurrence. The primary outcome was success defined as UDI-6 question 3 (SUI) ≤ 1 and no SUI retreatment/operation. Patients not seen in clinic for 2years were contacted via a standardized phone interview.
From 83 patients with 7-year intermediate follow-up data, 34 (PVS1 = 18, PVS2 = 16) had very long-term follow-up based on clinic vistive for SUI.
The objective was to determine the relationship between the preoperative D-point and apical outcomes at 24months, using the Operations and Pelvic Muscle Training in the Management of Apical Support Loss (OPTIMAL) dataset.
This was a secondary analysis of the OPTIMAL trial, a randomized multi-centered study comparing outcomes of sacrospinous ligament fixation and transvaginal uterosacral ligament suspension (USLS). Fluvastatin The 2-year dataset utilized included women undergoing USLS with concomitant hysterectomy. The primary outcome was the relationship between preoperative D-point and apical outcomes at 24months. Secondary objectives were to determine the relationship between preoperative D-point and anatomical, composite and subjective outcomes, and to determine a D-point cut-off that could be used to predict success in each of these categories.
Of the 186 women in the USLS arm, 120 were available for analysis of anatomical failure at 24months. A higher preoperative D-point correlated with improved apical outcome (C-point) at 24months (r = 0.34; p value = 0.0002). Using ROC curves, a moderate association was found between the preoperative D-point and apical and anatomical success, (AUC 0.689 and 0.662). There was no relationship between preoperative D-point and composite or subjective success (AUC 0.577 and 0.458). Based on the ROC curves, a "cut-off" D-point value of -4.25cm (sensitivity = 0.58, specificity = 0.67) was determined to be a predictor of postoperative anatomical success at 2years.
Preoperative D-point correlates with postoperative anatomical and apical support, but is less successful at predicting subjective outcomes. The strongest predictive D-point cut-off for anatomical and apical success at 24months was -4.25cm.
Preoperative D-point correlates with postoperative anatomical and apical support, but is less successful at predicting subjective outcomes. The strongest predictive D-point cut-off for anatomical and apical success at 24 months was -4.25 cm.
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