囊性纤维化:紧急促进早期诊断,包括在新兴国家

Karger Kompass Pub Date : 2023-01-01 DOI:10.1159/000533890
Esperanza Figueroa-Hurtado, Diana Lizbeth Ortiz-Farías, Arturo Cortés-Telles
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引用次数: 0

摘要

& lt; b>背景:& lt; / b>囊性纤维化基金会患者登记处(cfpr)报告称,囊性纤维化(PwCF)患者的哮喘患病率很高(34.6%)。虽然我们目前对这种关系的理解有限,但在CF患者中经常发现2型炎症(T2)表型。& lt; b>研究问题:& lt; / b>本研究旨在评估嗜酸性CF T2炎症表型与CF相关肺结局和微生物学数据之间的关系。& lt; b>研究设计:& lt; / b>方法:我们对成年CF患者(18岁及以上;n = 93),从2013年1月到2018年12月在弗吉尼亚大学医学中心成人项目接受治疗。收集的数据包括人口统计学数据、CFTR (CF跨膜传导调节因子)突变、CF合并症、药物、细胞绝对嗜酸性粒细胞计数(AEC) /µL和免疫球蛋白E (IgE)水平(IU/mL)。& lt; b>结果:& lt; / b>在筛选研究资格的93例患者中,74例被纳入最终分析;19例患者因缺乏贯穿研究时间线的纵向数据而被排除。肺功能下降与AEC升高相关(p <0.001)和IgE (p <0.001),即使校正了协变量:年龄、性别、假单胞菌、MRSA、其他细菌、曲霉菌和其他真菌(p <0.001)。单变量分析表明,一年有2次以上病情加重需要住院和/或静脉注射抗生素的CF患者更有可能有高AEC (p = 0.018)。Logistic回归显示,随着AEC的增加,在CF加重期间进行测量的概率增加(p = 0.0039)。线性混合模型显示,年加重事件每增加一次,log IgE平均增加0.04。(p = 0.015)。这一发现在多变量模型中保持稳定(p = 0.0145)。当针对特应性进行调整时,log IgE随着加重事件数量的增加而增加(p = 0.022)。AEC和IgE与微生物定植没有相关性。
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Fibrosis quística: Facilitar urgentemente el acceso al diagnóstico temprano también en los países emergentes
Background: The Cystic Fibrosis Foundation Patient Registry (CFFPR) reports a high prevalence of asthma (34.6%) in people with Cystic Fibrosis (PwCF). While our current understanding of this relationship is limited, a type 2 inflammatory (T2) phenotype has often been identified in CF patients. Research question: This study aimed to evaluate the relationship between the eosinophilic CF T2 inflammatory phenotype and CF-related pulmonary outcomes and microbiological data. Study design: and methods: We conducted a retrospective chart review of adult patients with CF (18 and older; n = 93) receiving their care at University of Virginia Medical Center adult program from January, 2013 through December, 2018. Data collected included demographic data, CFTR (CF transmembrane conductance regulator) mutation, CF comorbidities, medications, Absolute Eosinophil Counts (AEC) in cells/µL and Immunoglobulin E (IgE) levels in IU/mL. Results: Of 93 patients screened for study eligibility, 74 were included in the final analysis; 19 patients were excluded due to lack of longitudinal data across the study timeline. Lung function decline correlated with increased AEC (p &#x3c; 0.001) and IgE (p &#x3c; 0.001) even when adjusting for covariates: age, gender, presence of Pseudomonas spp., MRSA, other bacterial spp., Aspergillus spp., and other fungi (p &#x3c; 0.001). Univariate analysis demonstrated that people with CF who experienced more than 2 exacerbations requiring hospitalizations and/or intravenous antibiotics a year were more likely to have high AEC (p = 0.018). Logistic regression showed that as AEC increases, the probability that the measurement was taken during a CF exacerbation increases (p = 0.0039). A linear mixed model showed that each additional annual exacerbation event increased on average the log IgE by 0.04. (p = 0.015). This finding remained stable in a multivariate model (p = 0.0145). When adjusted for atopy, log IgE increases as the number of exacerbation events increases (p = 0.022). There was no association between AEC and IgE and microbiological colonization.
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