Introduction and objective:

chronic gastrointestinal disorders such as celiac disease and lactose or fructose intolerance in adulthood are becoming more frequent and are usually accompanied by symptoms that affect daily activities and greatly limit diet. The spectrum of symptoms manifested by those affected is heterogeneous and not very specific; in addition, there is no standardized and agreed protocol for dietary management, which makes a correct diagnosis and effective treatment difficult. Disorders related to malabsorption/food intolerance can originate from primary (genetic) or secondary causes (parasites, allergies, inflammatory bowel disease, drugs, etc.). Using genetic data makes it possible to rule out or confirm primary causes, and when necessary, focus the search on secondary ones. The objective of this algorithmic approach is to guide the dietary-nutritional management of the patient with chronic gastrointestinal disease to optimize the diagnostic process and nutritional treatment.

Material and methods:

after a review of the literature on the pathologies most frequently associated with these disorders, a testing algorithm is proposed and the successive steps to be followed depending on the results obtained, in order to determine the diagnosis and treatment.

Results:

the proposed algorithm aims to be a tool for health personnel (gastroenterologists, endocrinologists, nutritionists, etc.) who care for these patients. The aim is to guide the flow of diagnostic tests based on the information provided by the patient and the clinic at the beginning, as well as to recommend the most appropriate treatment (dietary-nutritional and/or pharmacological).

Conclusions:

the benefit of using an algorithmic approach is that it allows optimising the diagnostic process of primary and secondary causes, and with this, to prescribe a personalised nutritional treatment considering the origin of the disorder, to alleviate the intensity and frequency of the symptoms with the least amount of dietary restrictions possible and minimise the impact on the quality of life of the patients.

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