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PREDICTABILITY OF MAGNETIC SPHINCTER AUGMENTATION DEVICE EXPLANTATION: A NOMOGRAM-BASED SCORING TOOL FROM AN EXPERIENCED QUATERNARY CENTER
Lucas Fair
*1, Marc Ward
1, Charles C. Rubarth
2, Gerald Ogola
1, Bola Aladegbami
1, Steven G. Leeds
11Surgery, Baylor University Medical Center at Dallas, Dallas, TX; 2Baylor Scott & White Research Institute, Dallas, TX
Introduction: Magnetic sphincter augmentation (MSA) explantation is an uncommon occurrence, and there are limited studies characterizing factors predictive for explanation. The aim of this study was to create a nomogram to aid in determining the probability of explantation in patients before undergoing MSA implantation.
Methods: An institutional review board-approved, prospectively maintained database was retrospectively reviewed for all patients undergoing anti-reflux surgery between February 2015 and May 2023. All patients who underwent MSA-related procedures were included. Patients were divided into two groups, explant group and non-explant 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; 93 males) with a mean age of 51.4 years. The explant group included 28 patients (12.3%), whereas the non-explant group included 199 patients (87.7%). Patient sociodemographic characteristics, medical comorbidities, preoperative testing results, and surgical history were included in our 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 (GERD-HRQL) score, preoperative distal contractile integral (DCI) value on manometry, and body mass index (BMI). Based on these variables, a scoring nomogram was developed with values from 0 to 18 (
Figure 1 and Table 1).
Conclusion: Our data was 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.
Nomogram with preoperative DCI value on manometry, DeMeester score, GERD-HRQL score, and BMI
Patient variables and associated numeric points from nomogram for predicting MSA device explantation
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