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Gastroesophageal reflux (GER), defined as the backflow of gastric material into the esophagus, it is a condition with a high prevalence during the first year of life. The disease from Gastroesophageal reflux (GERD), a rarer condition, is defined as the presence of symptoms and complications caused by gastroesophageal reflux. For the diagnosis of GERD in infants it is necessary to perform instrumental diagnostic tests invasive. Several efforts have already been made to identify diagnostic strategies non-invasive but, at the state of the art, no non-invasive biomarker has yet been found of GERD in infants. Therefore, the aim of this pilot study is to identify possible biomarkers salivary gastroesophageal reflux in a population of infants with GER or GERD. Infants from 2 months to the first year of life, with age, will be prospectively enrolled postmenstrual \> 40 weeks, hospitalized, with symptoms of GER or GERD and undergoing 24-hour esophageal MII-pH. Saliva samples will be collected during the execution of the MII-pH of the esophagus 24 hours, at defined time points, at least 2 hours after the last meal, so as to study the circadian variations of their composition. A control group made up of healthy infants will also be enrolled and will be sampled a single saliva sample during a health assessment. The salivary pH, the buffer capacity, the electrolytes (Na, K, Cl, HCO3) and the saliva pepsin/pepsinogen concentrations of enrolled infants. The expected results include the description of the salivary biochemical profile of GER infants vs. GERD, so that the investigators can develop non-invasive diagnostic strategies and detect personalized therapeutic treatments.
Age
0 - 1 years
Sex
ALL
Healthy Volunteers
No
Policlinico universitario agostino gemelli IRCCS
Roma, Italy
Start Date
October 21, 2021
Primary Completion Date
March 1, 2022
Completion Date
October 31, 2023
Last Updated
April 20, 2023
43
ESTIMATED participants
salivary markers
DIAGNOSTIC_TEST
Lead Sponsor
Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Data Source & Attribution
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