Predicting the tolerability of inhalation therapy as a stage of a personalized approach in the treatment of children with cystic fibrosis

K. Skriabinа, S. Ilchenko, A. Fialkovska
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Abstract

Background. Considering the features of basic therapy for chronic inflammatory bronchopulmonary process in cystic fibrosis (CF), which includes almost daily inhalation of pharmacological drugs (mucolytics, hypertonic saline (HS), antibiotics), evaluation of their tolerability is relevant in practice. The purpose of the study is to create a prognostic scale convenient for use in practical medicine, which would predict development of bronchial hyperreactivity syndrome in children with CF, based on clinical and anamnestic data, the results of molecular genetic research and inhalation tests with increasing concentrations of HS to prescribe personalized treatment. Materials and methods. The results of clinical and anamnestic, microbiological, biochemical, molecular and genetic studies and inhalation tests with increasing concentrations of HS were analyzed in 40 children with CF. The creation of the predictive algorithm was based on the application of correlation analysis, receiver operating characteristic analysis, binary logistic regression, Wald and Kullback method. Results. Two prognostic models have been created that can be used at different stages of providing medical care. Model 1 was built for the ambulatory stage of providing medical care to patients with CF, considering clinical and anamnestic data, molecular genetic predictors, as well as clinical symptoms during inhalation tests with increasing concentrations of HS. This model also can be used in young children who cannot perform spirometry to assess their external breathing function. For the highly specialized medical care, model 2 was created, which considers indicators of spirometric data of inhalation tests with increasing concentrations of HS and the level of exhaled nitric oxide. Conclusions. The developed models make it possible to calculate with high probability the risk of developing bronchial hyperreactivity to perform a personalized selection of HS and choose preventive brocholytic therapy as needed.
预测吸入疗法作为治疗囊性纤维化儿童个体化方法的一个阶段的耐受性
背景。考虑到囊性纤维化(CF)慢性炎症性支气管肺过程的基本治疗特点,包括几乎每天吸入药物(溶黏剂、高渗盐水(HS)、抗生素),对其耐受性的评估具有实际意义。本研究的目的是建立一个便于实际医学使用的预后量表,根据临床和记忆数据、分子遗传学研究结果和吸入试验增加HS浓度,预测CF儿童支气管高反应性综合征的发展,从而开出个性化的治疗方案。材料和方法。对40例CF患儿的临床、记忆、微生物学、生化、分子遗传学及吸入试验结果进行分析,并应用相关分析、受试者工作特征分析、二元logistic回归、Wald和Kullback方法建立预测算法。结果。已经创建了两种预后模型,可用于提供医疗护理的不同阶段。模型1是为CF患者提供医疗护理的门诊阶段建立的,考虑了临床和记忆数据、分子遗传预测因素以及吸入试验中HS浓度增加的临床症状。该模型也可用于不能进行肺活量测定来评估其外部呼吸功能的幼儿。针对高度专业化的医疗护理,建立了模型2,该模型考虑了HS浓度增加和呼出一氧化氮水平增加的吸入试验肺活量测定数据指标。结论。所建立的模型使高概率计算发生支气管高反应性的风险成为可能,从而对HS进行个性化选择,并根据需要选择预防性的溶栓治疗。
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