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Archivos de Investigación Materno Infantil

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Órgano de difusión oficial del Instituto Materno Infantil del Estado de México
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2020, Number 1

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Arch Inv Mat Inf 2020; 11 (1)

Diagnosis and treatment of cow's milk protein allergy in a private hospital in Mexico City

Cuevas RAP, Iglesias LJ, Bernárdez ZI, Martina LM, Venegas AA, Koretzky SG
Full text How to cite this article 10.35366/100322

DOI

DOI: 10.35366/100322
URL: https://dx.doi.org/10.35366/100322

Language: Spanish
References: 17
Page: 6-11
PDF size: 131.07 Kb.


Key words:

Allergy, cow\'s milk protein, food allergy, oral challenge, immunoglobulins.

ABSTRACT

Introduction: Cow's milk protein allergy (CMPA) is the most common food allergy in infants. The diagnosis is challenging due to the variability of symptoms. When you don't have an accurate diagnosis, it is common to observe inadequate management. Objective: Describe the management and diagnostic approach of CMPA used by pediatricians in México City and compare them with international guidelines. Material and methods: Cross-sectional, observational and descriptive study. Data were collected through a survey, in patients with CMPA diagnosis. A descriptive analysis was made. The simple frequencies and percentages of each diagnostic strategy were obtained. Results: Of 62 patients, 61.3% were men with a median age of 11 months. The main affected system was the gastrointestinal system. For the diagnostic confirmation in 61.3% of the cases, an elimination diet and the clinical improvement of the patient afterwards was used. The oral food challenge was performed in 14.5% of the patients and serum immunoglobulin levels in 40.3%. An extensively hydrolyzed formula was used in 27.3% of the cases and elemental formula un 22.6%. 77.5% of parents or guardians reported that patients symptoms had improved after treatment. Conclusions: The diagnosis and management of CMPA is challenging. The use of international guidelines should be emphasized to unify criteria and avoid a negative impact in health.


REFERENCES

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Arch Inv Mat Inf. 2020;11