Affiliation:
1. Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
2. Guangxi Medical University, Nanning, Guangxi, China
3. The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, Guangxi, China
4. Department of Gastroenterology, Yulin Red Cross Hospital, Yulin, Guangxi, China.
Abstract
Traditional observational and in vivo studies have suggested an etiological link between gastroesophageal reflux disease (GERD) and the development of extraesophageal diseases (EEDs), such as noncardiac chest pain. However, evidence demonstrating potential causal relationships is lacking. This study evaluated the potential causal relationship between GERD and EEDs, including throat and chest pain, asthma, bronchitis, chronic rhinitis, nasopharyngitis and pharyngitis, gingivitis and periodontal disease, cough, using multiple Mendelian randomization (MR) methods, and sensitivity analysis was performed. The Mendelian randomization Pleiotropy RESidual Sum and Outlier and PhenoScanner tools were used to further check for heterogeneous results and remove outliers. MR with inverse-variance weighted (IVW) showed a significant causal relationship between GERD and EEDs after Bonferroni correction. IVW results indicated that GERD increased the risk of chronic rhinitis, nasopharyngitis and pharyngitis (odds ratio [OR] = 1.482, 95% confidence interval [CI] = 1.267–1.734, P < .001], gingivitis and periodontal disease (OR = 1.166, 95% CI = 1.046–1.190, P = .001), throat and chest pain (OR = 1.585, 95% CI = 1.455–1.726, P < .001), asthma (OR = 1.539, 95% CI = 1.379–1.717, P < .001), and bronchitis (OR = 1.249, 95% CI = 1.168–1.335, P < .001). Sensitivity analysis did not detect pleiotropy. Leave-one-out analysis shows that MR results were not affected by individual single nucleotide polymorphisms. The funnel plot considers the genetic instrumental variables to be almost symmetrically distributed. This MR supports a causal relationship among GERD and EEDs. Precise moderation based on causality and active promotion of collaboration among multidisciplinary physicians ensure high-quality diagnostic and treatment recommendations and maximize patient benefit.
Publisher
Ovid Technologies (Wolters Kluwer Health)