Mathematical model of the relationship between pH holding time and erosive esophagitis healing rates

Effective suppression of gastric acid secretion promotes healing of erosive esophagitis. Treatment guidelines recommend proton pump inhibitors (PPIs) and histamine H<sub>2</sub>-receptor antagonists (H<sub>2</sub>RAs). Emerging evidence also supports potassium-competitive acid blockers (P-CABs). The aim was to construct a mathematical model to examine the relationship between pH holding time ratios (HTRs) and erosive esophagitis healing rates with H<sub>2</sub>RAs, PPIs and P-CABs. By literature search, we identified studies of H<sub>2</sub>RAs, PPIs or P-CABs that reported mean pH >4 HTRs at steady state (days 5-8) and erosive esophagitis healing rates after 4 and/or 8 weeks. We aggregated treatments by drug class and developed a non-linear, mixed-effects model to explore the relationship between pH >4 HTRs and healing rates. The pH dataset included 82 studies (4297 participants; 201 dosage arms); healing rate data came from 103 studies (43,417 patients; 196 treatment arms). P-CABs achieved the longest periods with intragastric pH >4, and the highest healing rates after 4 and 8 weeks. The predicted probabilities of achieving ≥90% healing rates at 8 weeks were 74.1% for P-CABs, 17.3% for PPIs and 0% for H<sub>2</sub>RAs. P-CABs provide the longest duration with intragastric pH >4 and, accordingly, the highest healing rates of erosive esophagitis.

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Publication Details

Journal
CPT Pharmacometrics & Systems Pharmacology
Published
2024-09-19
DOI
https://doi.org/10.1002/psp4.13235
Citations
10
Primary Topic
Gastroesophageal reflux and treatments
Type
article
Field-Weighted Citation Impact
4.64
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article

Mathematical model of the relationship between pH holding time and erosive esophagitis healing rates

Axel Facius, Eckhard Leifke, Carmelo Scarpignato, Richard H. Hunt et al.
10 citations
CPT Pharmacometrics & Systems Pharmacology
Gastroesophageal reflux and treatments
4.64
article

Mathematical model of the relationship between pH holding time and erosive esophagitis healing rates

Axel Facius, Eckhard Leifke, Carmelo Scarpignato, Richard H. Hunt, Darcy J. Mulford, Yuhong Yuan, Colin W. Howden, Gëzim Lahu
article en
10 citations

Abstract

Effective suppression of gastric acid secretion promotes healing of erosive esophagitis. Treatment guidelines recommend proton pump inhibitors (PPIs) and histamine H<sub>2</sub>-receptor antagonists (H<sub>2</sub>RAs). Emerging evidence also supports potassium-competitive acid blockers (P-CABs). The aim was to construct a mathematical model to examine the relationship between pH holding time ratios (HTRs) and erosive esophagitis healing rates with H<sub>2</sub>RAs, PPIs and P-CABs. By literature search, we identified studies of H<sub>2</sub>RAs, PPIs or P-CABs that reported mean pH >4 HTRs at steady state (days 5-8) and erosive esophagitis healing rates after 4 and/or 8 weeks. We aggregated treatments by drug class and developed a non-linear, mixed-effects model to explore the relationship between pH >4 HTRs and healing rates. The pH dataset included 82 studies (4297 participants; 201 dosage arms); healing rate data came from 103 studies (43,417 patients; 196 treatment arms). P-CABs achieved the longest periods with intragastric pH >4, and the highest healing rates after 4 and 8 weeks. The predicted probabilities of achieving ≥90% healing rates at 8 weeks were 74.1% for P-CABs, 17.3% for PPIs and 0% for H<sub>2</sub>RAs. P-CABs provide the longest duration with intragastric pH >4 and, accordingly, the highest healing rates of erosive esophagitis.

CPT Pharmacometrics & Systems PharmacologyVol. 14(1)
University of Tennessee Health Science Center (US), University of Malta (MT), Population Health Research Institute (CA), McMaster University (CA)
Openalex Percentile: Top 5%
Gastroesophageal reflux and treatments
4.64
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Mathematical model of the relationship between pH holding time and erosive esophagitis healing rates — Axel Facius, Eckhard Leifke, et al. · CPT Pharmacometrics & Systems Pharmacology (2024) | TGRS Research Map | TGRS