ABSTRACT
BACKGROUND: In times of genotype guided therapy options, a total of 3.2 % of people with CF (pwCF) in the German CF Registry[1] only have one or no CFTR-variant detected after genetic analysis. Additionally, genetic data in the Registry can be documented as free text and can therefore be prone to error. In order to allow the greatest possible amount of pwCF access to modern therapies, we conducted a re-evaluation of free text entries and established a custom-whole-CFTR-locus NGS-approach for all pwCF who remained without genetic confirmation afterwards. METHODS: To this end, we assembled 731 free text variants of 655 pwCF in the German CF Registry. All variants were evaluated using ClinVar, HGMD and CFTR1/2, corrected in the Registries' database and uploaded to ClinVar. PwCF whose diagnosis remained uncertain as well as additional pwCF or pwCFTR-RD that were assembled through a nationwide call for testing of unclear cases were offered genetic analysis. Samples were analysed using a target-capture based NGS-custom-design-panel covering the entire CFTR-locus. RESULTS: Evaluation of free text variants led to the discovery of 43 variants not formerly reported in the context of CF. The Registries' dropdown list was extended by 497 variants and over 500 pwCF were provided with their most up-to-date genotype. Samples of 47 pwCF/pwCFTR-RD were sequenced via NGS with an overall success rate of 61.7 %, resulting in implementation of entire CFTR-genotyping into routine diagnostics. CONCLUSION: Entire CFTR-genotyping can greatly increase the genetic diagnostic rate of pwCF/pwCFTR-RD and should be considered after inconspicuous CFTR screening panels in CFTR-diagnostics.
ABSTRACT
The management of asthma has fundamentally changed during the past decades. The present guideline for the diagnosis and treatment of asthma was developed for respiratory specialists who need detailed and evidence-based information on the new diagnostic and therapeutic options in asthma. The guideline shows the new role of biomarkers, especially blood eosinophils and fractional exhaled NO (FeNO), in diagnostic algorithms of asthma. Of note, this guideline is the first worldwide to announce symptom prevention and asthma remission as the ultimate goals of asthma treatment, which can be achieved by using individually tailored, disease-modifying anti-asthmatic drugs such as inhaled steroids, allergen immunotherapy or biologics. In addition, the central role of the treatment of comorbidities is emphasized. Finally, the document addresses several challenges in asthma management, including asthma treatment during pregnancy, treatment of severe asthma or the diagnosis and treatment of work-related asthma.
Subject(s)
Anti-Asthmatic Agents , Asthma , Female , Pregnancy , Humans , Nitric Oxide , Asthma/therapy , Asthma/drug therapy , Anti-Asthmatic Agents/therapeutic use , Biomarkers , Desensitization, ImmunologicABSTRACT
OBJECTIVES: Sweat chloride testing (SCT) is the mainstay for the diagnosis of cystic fibrosis (CF) and biomarker in the evaluation of CFTR-modifying drugs. To be a reliable and valid tool, analytical variance (CVA) must be minimized. However, external quality assessments have revealed significant deviations in routine clinical practice. Our goal was to identify and quantify technical errors through proficiency testing and simulations. METHODS: Chloride concentrations of three blinded samples (each as triplicates) were measured in 9 CF centers using a chloridometer in a routine setting. Technical errors were simulated and quantified in a series of measurements. We compared imprecision and bias before and after a counseling session by evaluating coefficients of variation (CV), adherence to tolerance limits, and inter-rater variability coefficients. RESULTS: Pipetting errors resulting in changes in sample volume were identified as the main source of error with deviations up to 41%. After the counseling session, the overall CVA decreased from 7.6 to 5.2%, the pass rate increased from 67 to 92%, and the inter-rater variability diminished. Significant deviations continued to be observed in individual centers. CONCLUSIONS: Prevention of technical errors in SCT decreases imprecision and bias. Quality assurance programs must be established in all CF centers, including staff training, standard operating procedures, and proficiency testing.
