How to Cite
Abstract
Klymenko V., Drobova N.
Cystic fibrosis (CF) is a genetic disease with a multiple organ type of lesion and life-threatening respiratory disorder. The purpose of the study was to improve medical care for patients with CF by treatment individualization according to the prediction of the respiratory tract complications development. The study involved 42 children with CF. Patients were divided into 2 groups: main (with bronchiectasis) and control (without bronchiectasis) group. One hundred twelve clinical and paraclinical indices were analyzed. After that thelogistic regression method with step-by-step incorporation of predictors was used to analyze the features and to select meaningful criteria for prognosis. The mathematicalmodel for predicting bronchiectasisdevelopment in children with CF was created. It should help to make an individual algorithm for treatment using non-specific research methods in order to prevent the progression of morphological changes in the respiratory tract in patients with CF.
Key words: children, cystic fibrosis, bronchiectasis, mathematical model, predicting.
Резюме
ПРОГНОЗУВАННЯ РИЗИКУ РОЗВИТКУ БРОНХІЕКТАЗІВ У ДІТЕЙ З МУКОВІСЦИДОЗОМ
Кліменко В., Дробова Н.
Муковісцидоз (МВ) - це генетичне захворювання з поліорганним характером патології та життєво-небезпечним ураженням респіраторної системи. Метою дослідження було удосконалення надання медичної допомоги хворим на МВ шляхом індивідуалізації терапії з урахуванням прогнозу розвитку бронхоектазів. Обстежено 42 дитини з діагнозом МВ. Пацієнти були розділені на 2 групи: головна (з бронхоектазами) та контрольна (без бронхоектазів). Проаналізовано 112 клініко-параклінічних показників. За допомогою методу логістичної регресії з покроковим включенням предикторів для аналізу функцій та вибору значущих критеріїв було створено математичну модель для прогнозування розвитку бронхоектазів у дітей із МВ. Модель дозволить своєчасно за допомогою неспецифічних методів дослідження складати індивідуальний алгоритм лікування хворого з метою попереджання прогресування морфологічних змін респіраторного тракту.
Ключові слова: діти, муковісцидоз, бронхоектази, математична модель, прогнозування.
Резюме
ПРОГНОЗИРОВАНИЕ РИСКА РАЗВИТИЯ БРОНХОЭКТАЗОВ У ДЕТЕЙ С МУКОВИСЦИДОЗОМ
Клименко В., Дробова Н.
Муковисцидоз (МВ) - генетическое заболевание с полиорганным характером патологии и жизнеугрожающим поражением респираторной системы. Целью исследования стало усовершенствование оказания медицинской помощи больным МВ путем индивидуализации терапии с учетом прогноза развития осложнений со стороны респираторного тракта. Обследовано 42 ребенка с диагнозом МВ. Пациенты разделены на 2 группы: основная (с бронхоэктазами) и контрольная (без бронхоэктазов). Проанализировано 112 показателей. С помощью метода логистической регрессии с пошаговым включением предикторов для анализа функций и выбора значимых критериев была создана математическая модель для прогнозирования развития бронхоэктазов у детей с МВ. Модель позволяет своевременно с помощью неспецифических методов исследования составлять индивидуальный алгоритм лечения больного с целью предотвращения прогрессирования морфологических изменений респираторного тракта у больных МВ.
Ключевые слова: дети, муковисцидоз, бронхоэктазы, математическая модель, прогнозирование.
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