METHOD FOR PREDICTING EFFECTIVENESS OF BEHAVIOURAL DISORDERS IN CHILDREN WITH AUTISM WITH GLUTEN-FREE DIET COMPLIANCE Russian patent published in 2020 - IPC G01N33/48 A61B5/00 

Abstract RU 2733713 C1

FIELD: medicine.

SUBSTANCE: invention refers to medicine, namely to paediatrics, and can be used as an auxiliary method when designing a treatment plan for patients with autism spectrum disorders. Method for predicting the effectiveness of behavioural disorders in children with autism with observing a gluten-free diet involves collecting anamnesis data, determining parameters of nutritional status, serological and genetic gluten intolerance markers, with subsequent construction of a regression equation: Kpr (behaviour) = 5.03845 + 0.00796107*P01 + 0.0635654*P02 - 0.023714*P03 - 0.0174385*P04 + 0.104694*P05 - 0.274297*P06 - 0.0187319*P07 - 0.0678975*P08 - 0.203862*P09 - 0.0159421*P10 + 0.0835771*P11, where: P01 - duration of diet compliance in months; P02 is gender, denoted by 1 for boys, number 2 for girls; P03 - age, number of full years; P04 is growth in centimetres; P05 is weight in kilograms; P06 is body weight index, conventional units; P07 - serum venous blood level, mcmol/l; P08 is the serum level of venous blood, mmol/l; P09 - availability of marker HLA DQ2/DQ8, zero - absent, unit - detected; P10 - level of antibodies of class G to gliadin, unit/ml; P11 is level of antibodies of A class to deamidized gliadin peptides, unit/ml. If the value of the prediction coefficient exceeds 0.33 conventional units, then judging on the expediency of gluten-free diet appointment, and if value of prediction coefficient is 0.33 conventional units and less, gluten-free diet compliance is judged to be ineffective.

EFFECT: invention enables to obtain a prediction tool which takes into account the initial level of individual indicators of nutritional status and genetic markers for prescribing diet therapy in order to correct difficulties of memorizing and mastering new skills.

1 cl, 2 ex

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Authors

Bavykina Irina Anatolevna

Pochivalov Aleksandr Vladimirovich

Panina Olga Alekseevna

Bavykin Dmitrij Vadimovich

Pogorelova Elena Ivanovna

Dates

2020-10-06Published

2020-02-11Filed