Related Experiment Video
Updated: Jun 26, 2025
Quantification of Levator Ani Hiatus Enlargement by Magnetic Resonance Imaging in Males and Females with Pelvic Organ Prolapse
Published on: April 17, 2019
Predictability of magnetic sphincter augmentation device explantation: a nomogram-based scoring tool from an
Steven G Leeds1, Lucas Fair2, Charles Rubarth3
1Center for Advanced Surgery, Baylor Scott & White University Medical Center, Dallas, Texas, United States; Division of Minimally Invasive Surgery, Baylor Scott & White University Medical Center, Dallas, Texas, United States; Texas A&M School of Medicine, Bryan, Texas, United States.
Background:
Magnetic sphincter augmentation (MSA) explantation is an uncommon occurrence, and there are limited studies characterizing factors predictive of MSA explantation. This study aimed to create a nomogram to aid in determining the probability of explantation in patients before MSA implantation.
Methods:
An institutional review board-approved, prospectively maintained database was retrospectively reviewed for all patients undergoing antireflux surgery between February 2015 and May 2023. All patients who underwent MSA-related procedures were included. Patients were divided into 2 groups, explant group and nonexplant group, and differences were analyzed. A multivariable logistic regression model was fitted to identify independent risk factors for predicting MSA explantation, and a nomogram-based scoring tool was developed.
Results:
There were 227 patients (134 females and 93 males) with a mean age of 51.4 years. The explant group included 28 patients (12.3%), whereas the nonexplant group included 199 patients (87.7%). Patient sociodemographic characteristics, medical comorbidities, preoperative testing results, and surgical history were included in the analysis. The multivariable regression model resulted in 4 significant variables that were included in the nomogram. These included preoperative DeMeester score, preoperative gastroesophageal reflux disease health-related quality of life score, preoperative distal contractile integral value on manometry, and body mass index. Based on these variables, a scoring nomogram was developed with values ranging from 0 to 18.
Conclusion:
Our data were used to develop a scoring calculator capable of predicting the probability of MSA explantation. This scoring tool can guide preoperative patient selection and treatment decisions.
