Dataset Information

Female Pelvic Floor Dysfunction Continues to Negatively Impact Quality-of-Life during the COVID-19 Lockdown.

ABSTRACT: The COVID-19 pandemic led to dramatical changes in elective medical care. We analysed its impact on patients with female pelvic floor dysfunction during the 6 weeks of lockdown in Austria. A cross-sectional study was conducted: All 99 women who presented at the urogynaecologic outpatient clinic of the Medical University of Vienna with pelvic organ prolapse (POP) or urinary incontinence (UI) from December 2019 up to the lockdown in March 2020 were included and contacted. 97% of these women (96 participants) agreed to participate in the survey conducted to asses pelvic floor related quality of life (QoL) through telephone- interrogation. The mean age was 59 ± 14.8 years, the POP group consisted of 42 women while the UI group included 54 women. Most participants (83% of POP and 81% of UI cases) stated that their female pelvic floor dysfunction had remained equally relevant or had become even more significant during the lockdown. Associated symptoms and psychological strain also maintained their relevance during the lockdown (UI: p = 0.229; POP: p = 0.234). Furthermore, 97% of all interviewed women indicated to be strongly willing to continue their treatment. A generalised linear model regression revealed no clinical or demographic risk factors for psychological strain during the lockdown (p > 0.05). Our results demonstrate that women's QoL remains significantly impaired by their pelvic-floor disorders even during a worldwide crisis such as COVID-19. Therefore, elective disciplines such as urogynaecology urgently require novel and innovative strategies for continued patient care even in times of a lockdown.

SUBMITTER: Carlin GL

PROVIDER: S-EPMC7961535 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:ObjectivePelvic floor dysfunction is a common adverse effect of uterine cancer treatment. In this study we compared patient-reported outcomes regarding pelvic floor dysfunction among uterine cancer survivors after hysterectomy and bilateral salpingo-oophorectomy, surgery and brachytherapy, or surgery and external beam radiotherapy with or without brachytherapy versus women who had a hysterectomy for benign indications.MethodsWe used the validated 20-item Pelvic Floor Distress Inventory to assess lower urinary distress, colorectal distress, and pelvic organ prolapse dysfunction in each treatment group. Pelvic floor dysfunction-related quality of life in these domains was compared across treatment modalities using the Pelvic Floor Impact Questionnaire-7. Treatment type, body mass index, comorbidities, and number of vaginal births were obtained from medical records. A zero-inflated negative binomial regression model was used to assess the association of treatment regimens and covariates relative to the non-cancer cohort.ResultsA total of 309 surveys were analyzed. The median age of the patients at surgery was 58 years (range 20-87) and the median age at survey completion was 66 years (range 34-92). Most participants reported experiencing at least one symptom of pelvic floor dysfunction (76% by Pelvic Floor Distress Inventory-2). The type of treatment had no effect on overall pelvic floor dysfunction on multivariate analysis (all p>0.05). Worse urinary-related symptoms were associated with higher body mass index at surgery (OR 1.41), higher age at time of survey (OR 1.07), and higher numbers of vaginal births (OR 1.43) (all p<0.05).ConclusionsOverall, pelvic floor dysfunction did not significantly vary by treatment modality. Our findings suggest complex interactions among age, body mass index, and parity as to how uterine cancer treatment affects pelvic floor quality of life, which should be considered in the choice of treatment strategy and patient counseling.

Project description:BackgroundQuantitative biomechanical characterization of pelvic supportive structures and functions in vivo is thought to provide insight into pathophysiology of pelvic organ prolapse (POP). An innovative approach-vaginal tactile imaging-allows biomechanical mapping of the female pelvic floor to quantify tissue elasticity, pelvic support, and pelvic muscle functions. The Vaginal Tactile Imager (VTI) records high definition pressure patterns from vaginal walls under an applied tissue deformation and during pelvic floor muscle contractions.ObjectiveTo explore an extended set of 52 biomechanical parameters for differentiation and characterization of POP relative to normal pelvic floor conditions.Methods96 subjects with normal and POP conditions were included in the data analysis from multi-site observational, case-controlled studies; 42 subjects had normal pelvic floor conditions and 54 subjects had POP. The VTI, model 2S, was used with an analytical software package to calculate automatically 52 biomechanical parameters for 8 VTI test procedures (probe insertion, elevation, rotation, Valsalva maneuver, voluntary muscle contractions in 2 planes, relaxation, and reflex contraction). The groups were equalized for subject age and parity.ResultsThe ranges, mean values, and standard deviations for all 52 VTI parameters were established. 33 of 52 parameters were identified as statistically sensitive (p < 0.05; t-test) to the POP development. Among these 33 parameters, 11 parameters show changes (decrease) in tissue elasticity, 8 parameters show deteriorations in pelvic support and 14 parameters show weakness in muscle functions for POP versus normal conditions.ConclusionsThe biomechanical mapping of the female pelvic floor with the VTI provides a unique set of parameters characterizing POP versus normal conditions. These objectively measurable biomechanical transformations of pelvic tissues, support structures, and functions under POP may be used in future research and practical applications.

Dataset Information

Female Pelvic Floor Dysfunction Continues to Negatively Impact Quality-of-Life during the COVID-19 Lockdown.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets