Abstract

As of 2020, more than 400 nosologies of primary immunodeficiencies are known. For most children with this pathology, the key immunological diagnosis remains unclear due to the lack of pathognomonic symptoms, as well as low medical alertness due to the relative rarity of these diseases. Primary immunodeficiencies are not fatal if diagnosed early, moreover, they are treatable with the possibility of a full life or complete recovery. Today, information technology has become an integral part of everyday life. The ability to evaluate a clinical patient record online is a modern important step. Purpose — to create an online test, available to both physicians and patients, to detect suspicious cases of primary immunodeficiencies in children based on possible clinical manifestations. Material and methods. Collection and analysis of a child's clinical record on suspicious manifestations of primary immunodeficiency, age and gender comparisons using web technologies. (PHP, MySQL). Results. International and Ukrainian developments of clinical criteria for suspected primary immunodeficiency in a child have been transformed into an online test containing 35 clinical inquiries to a child's parents or attending physician, followed by analysis of a child's gender and age. As a result, the test user receives the result of the alertness level in terms of urgency to consult a pediatric immunologist. Conclusions. The immunological online test showed considerable interest, a high detection rate of suspicious cases of primary immunodeficiency. The test can be used with patients who come for an appointment or with hospital patients. The study was carried out in accordance with the principles of the Helsinki Declaration. The study protocol was approved by the Local Ethics Committee of the institution specified in the work. Informed consent was obtained from the parents of the children for the research. The authors declare no conflicts of interest. Key words: pediatric immunology, primary immunodeficiencies, online, test, clinical criteria.

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