首页|University Hospital Rey Juan Carlos Reports Findings in Pelvic Organ Prolapse (R obotic sacrocolpopexy for the treatment of pelvic organ prolapse in elderly wome n: comparative analysis of safety and efficacy versus younger women)

University Hospital Rey Juan Carlos Reports Findings in Pelvic Organ Prolapse (R obotic sacrocolpopexy for the treatment of pelvic organ prolapse in elderly wome n: comparative analysis of safety and efficacy versus younger women)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Pelvic Organ Prolapse is the subject of a report. According to news reporting originating in Madrid, S pain, by NewsRx journalists, research stated, "Pelvic organ prolapse is a condit ion with high prevalence in elderly women. With increasing life expectancy and a desire for improved quality of life, a rise in the frequency of surgical treatm ents for these women is anticipated." The news reporters obtained a quote from the research from University Hospital R ey Juan Carlos, "The aim is to compare complication, success, and satisfaction r ates among elderly patients (aged >70 years) in comparis on to younger women undergoing robotic sacrocolpopexy, thereby assessing the saf ety and efficacy of this surgery in this group of patients. A prospective observ ational comparative study of 123 robotic sacrocolpopexies conducted between Dece mber 2016 and June 2022. Patients were stratified by age (cutoff point: 70 years ). Baseline characteristics, type, and grade of prolapse, intra and postoperativ e data, complications, functional and anatomical outcomes, and satisfaction leve ls were collected. Among the 123 patients, 62.6% were under 70 yea rs old, while 37.4% were 70 years or older, exhibiting similar bas eline characteristics, prolapse grade, and type. The percentages of intraoperati ve (6.5%) and postoperative complications (4.4-9%) wer e comparable in both age groups. Furthermore, success and satisfaction rates exc eeded 90%, with no significant differences between women under and over 70 years during a two-year follow-up."

MadridSpainEuropeEmerging Technolo giesHealth and MedicineMachine LearningPelvic Organ ProlapseRoboticsRo botsWomen's Health

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(MAY.29)