Accuracy of high-resolution manometry in hiatal hernia diagnosis in primary and revision bariatric surgery

Daniel L. Chan, Tien Y. Chern, Jim Iliopoulos, Annemarie Hennessy, Simon K. H. Wong, Enders K. W. Ng, Michael L. Talbot

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Purpose: There is a complex association between obesity, hiatal hernia (HH), and reflux. There is a deficiency of literature on the accuracy of preoperative high-resolution manometry (HRM) in detecting HH before both primary and revision bariatric surgery. Materials and Methods: A retrospective analysis of a prospective database of all HRM performed before bariatric surgery from 2014 to 2019. An electronic medical records review was conducted. Sensitivity, specificity, and global diagnostic test accuracy were calculated. Results: Sixty-seven patients with HRM (mean age of 44.0 ± 11.3 years, body mass index 40.8 ± 6.9 kg/m2) were eligible. Intraoperative diagnosis of HH was made in 37 patients (55.2% prevalence). The HRM sensitivity was 48.7% (95% confidence interval (CI) 31.9–65.6%), specificity 90.0% (95% CI 73.5–97.9%), and accuracy was 67.2% (95% CI 54.6–78.2%). Comparing primary (28) and revision (39) surgery, the sensitivity (37.5% vs 57.1%), specificity (75.0% vs 100%), and diagnostic accuracy (54.3% vs 76.3%) were comparable, with overlapping 95% CI. Endoscopy performed in 30 patients had a sensitivity of 25.5% (95% CI 6.8–49.9%), specificity of 100% (95% CI 75.3–100%), and accuracy of 57.8% (95% CI 38.5–75.5%) and was comparable to HRM. Conclusion: High-resolution manometry for the detection of HH before bariatric surgery has a high specificity and maintains a high accuracy in both primary and revision bariatric surgery. Graphical abstract: [Figure not available: see fulltext.].

Original languageEnglish
Pages (from-to)2906-2912
Number of pages7
JournalObesity Surgery
Volume31
Issue number7
DOIs
Publication statusPublished - Jul 2021

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© 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

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