Novel physiologic nomogram discriminates symptom outcome in patients with erosive esophagitis

Background and aim Most of patients with erosive esophagitis (EE) are of LA grade A&B with low reflux burden, therefore require further esophageal function tests (EFTs). One-third of them respond poorly to pump proton inhibitor (PPI) treatment. The aim was to establish and validate a physiologic...

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Veröffentlicht in:Esophagus : official journal of the Japan Esophageal Society 2021-04, Vol.18 (2), p.407-415
Hauptverfasser: Zhang, Mengyu, Liang, Mengya, Chen, Songfeng, Tan, Niandi, Li, Yuwen, Xiao, Yinglian
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Sprache:eng
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Zusammenfassung:Background and aim Most of patients with erosive esophagitis (EE) are of LA grade A&B with low reflux burden, therefore require further esophageal function tests (EFTs). One-third of them respond poorly to pump proton inhibitor (PPI) treatment. The aim was to establish and validate a physiologic nomogram to discriminate symptom outcome to PPI treatment in patients with EE. Methods A total of 79 EE patients with heartburn who underwent EFTs and received PPI therapy were randomly assigned into a training set ( n  = 55) and a validation set ( n  = 24). Clinical data including physiologic parameters from EFTs were collected. Significant factors for the positive symptomatic outcome were identified using logistic regression analysis. Physiologic signature was developed using the least absolute shrinkage and selection operator algorithm. The nomogram was established by combining significant factors and physiologic signature, and its performance was evaluated and validated in the training and validation set. The clinical value of the nomogram was measured by decision curve analysis. Results Significant factors for positive symptomatic response to PPI treatment were identified as follows: acid exposure time, total number of reflux episodes, and two novel metrics including mean nocturnal baseline impedance and post-reflux swallow-induced peristaltic wave index. The nomogram which incorporated both significant factors and physiologic signature demonstrated good performance in the training and validation sets [C-index: 0.938 (95% CI 0.882–0.995); 0.839 (95% CI 0.678–0.995), respectively]. Decision curves showed significant clinical usefulness. Conclusion The first physiologic nomogram was developed to discriminate the individualized response to PPI therapy among EE patients.
ISSN:1612-9059
1612-9067
DOI:10.1007/s10388-020-00793-y