COVID-19 Pandemic is Associated With Increased Prevalence of GERD and Decreased GERD-related Quality of Life: Analysis From 9800 Participants in the Indonesian GERD-Q Study

INTRODUCTION

The prevalence of gastroesophageal reflux disease (GERD) is expected to increase during the pandemic due to unexpected, sudden lifestyle changes such as decreased physical activity and worsening mental conditions. Here, we aim to explore the difference in the prevalence of GERD and GERD-related quality of life (QoL) in Indonesia during the COVID-19 pandemic compared with before the COVID-19 pandemic.

METHODS

Retrospective analysis of the Indonesian GERD Questionnaire study, a cross-sectional study utilizing an online form of the GERD Questionnaire, was done to compare the prevalence of GERD between March 2, 2018 to March 1, 2020 (prepandemic group) and March 2, 2020 to March 1, 2022 (pandemic group). The prevalence odds ratios between the 2 groups were calculated using χ 2 .

RESULTS

A total of 9800 participants were included in the analysis; 1807 and 7993 were allocated to the pandemic and prepandemic groups, respectively. The prevalence of GERD in the pandemic and prepandemic groups were 67.9% and 61.8%, respectively (prevalence odds ratio: 1.31; 95% CI: 1.17-1.46).

CONCLUSION

During the COVID-19 pandemic, the prevalence of GERD, heartburn, and those who reported impaired GERD-related quality of life increased. Regurgitation was the most common symptom reported by participants.

A systematic review with meta-analysis: Efficacy and safety of potassium-competitive acid blocker compared with proton pump inhibitor in the maintenance of healed erosive esophagitis

Introduction

Proton pump inhibitor (PPI) is the mainstay therapy for the maintenance of healed erosive esophagitis (EE). It is unknown whether potassium-competitive acid blockers (PCABs) are more efficacious and safer than PPIs.

Methods

Only randomized controlled trials (RCTs) comparing PCABs to PPIs in the maintenance of healing rates of endoscopically proven healed EE and indexed in MEDLINE, EMBASE, and CENTRAL until 3 February 2024, were included. A fixed-effects model meta-analysis was performed to pool primary efficacy outcome (maintenance of healing rates at week 24) and safety data (any treatment-emergent adverse event or TEAE). The risk of bias was assessed using Cochrane's Risk of Bias 2 (RoB2) tool.

Results

Four RCTs with a total of 2554 patients were eligible for inclusion. All trials were of low risk of bias. Compared to lansoprazole 15 mg, the maintenance rates of healed EE at week 24 were significantly higher with vonoprazan 10 mg (RR 1.13; 95% CI 1.07-1.19) and vonoprazan 20 mg (RR 1.15; 95% CI 1.10-1.21). Likewise, compared to lansoprazole 15 mg, any TEAEs were significantly greater with vonoprazan 20 mg (RR 1.10; 95% CI 1.01-1.20) but not vonoprazan 10 mg.

Conclusion

Vonoprazan 10 and 20 mg were superior to lansoprazole 15 mg in the maintenance of the healing of EE. Any TEAEs were greater with vonoprazan 20 mg.

Development of the Escalation of Therapy or Intervention (ETI) Calculator for Patients with Ulcerative Colitis Using ePROMs

BACKGROUND AND AIMS

Digital collection of patient-reported outcome measures [PROMs] is largely unexplored as a basis for follow-up for patients with ulcerative colitis [UC]. Our aim was to develop a model to predict the likelihood of escalation of therapy or intervention at an outpatient appointment that may be used to rationalize follow-up.

METHODS

TrueColours-IBD is a web-based, real-time, remote monitoring software that allows longitudinal collection of ePROMs. Data for prediction modelling were derived from a Development Cohort, guided by the TRIPOD statement. Logistic regression modelling used ten candidate items to predict escalation of therapy or intervention. An Escalation of Therapy or Intervention [ETI] calculator was developed, and applied in a Validation Cohort at the same centre.

RESULTS

The Development Cohort [n = 66] was recruited in 2016 and followed for 6 months [208 appointments]. From ten items, four significant predictors of ETI were identified: SCCAI, IBD Control-8, faecal calprotectin, and platelets. For practicality, a model with only SCCAI and IBD Control-8, both entered remotely by the patient, without the need for faecal calprotectin or blood tests was selected. Between 2018 and 2020, a Validation Cohort of 538 patients [1188 appointments] was examined. A 5% threshold on the ETI calculator correctly identified 343/388 [88%] escalations and 274/484 [57%] non-escalations.

CONCLUSIONS

A calculator based on digital, patient-entered data on symptoms and quality of life can predict whether a patient with UC requires escalation of therapy or intervention at an outpatient appointment. This may be used to streamline outpatient appointments for patients with UC.