Abuzakouk Mohamed, Jacob Sonya, Ghorab Omar
Allergy and Immunology, Cleveland Clinic Abu Dhabi, Abu Dhabi, ARE.
Cureus. 2020 Dec 25;12(12):e12278. doi: 10.7759/cureus.12278.
Objectives We aimed to identify the percentage inaccuracy in classifying asthma severity as severe asthma based on the 2019 Global Initiative for Asthma (GINA) guidelines criteria, at Cleveland Clinic Abu Dhabi, and make recommendations to improve the assessment of asthma severity. Methods All asthma patients that attended the Pulmonology clinic or the Allergy clinic from May 2015 to December 2019 were retrospectively analyzed to identify which asthma patients classified as having severe asthma according to the 2019 GINA guidelines criteria. We then calculated the percentage inaccuracy associated with giving diagnoses of severe asthma. Results We retrospectively analyzed a total of 902 patients, and out of those, we identified 334 as patients with severe asthma according to the 2019 GINA guidelines criteria. Of those 334 patients, 218 were given an incorrect asthma severity of either mild (N=14), moderate (N=203), or unspecified asthma severity (N=1) in the hospital's electronic records. This represents a percentage inaccuracy of 65.3% in classifying asthma severity as severe asthma. Fluticasone propionate-salmeterol was the most used ICS-LABA (inhaled corticosteroid and long-acting beta-agonist) medication in the severe asthma group (58.1%). Fluticasone furoate-vilanterol was identified as the most incorrectly prescribed ICS-LABA medication (68.2%). Conclusion We identified an inaccuracy of 65.3% in classifying asthma severity as severe at our hospital. This inaccuracy is associated with a lack of understanding of the GINA guidelines by clinicians, as well as a lack of acceptance of some of the criteria in the GINA guidelines by patients. We have made recommendations to help improve the accuracy of asthma severity assessment, in order to be fully adherent to the GINA guidelines criteria.
目的 我们旨在确定根据2019年全球哮喘防治创议(GINA)指南标准,在阿布扎比克利夫兰诊所将哮喘严重程度分类为重度哮喘时的不准确百分比,并提出改进哮喘严重程度评估的建议。方法 对2015年5月至2019年12月在肺病科诊所或过敏科诊所就诊的所有哮喘患者进行回顾性分析,以确定根据2019年GINA指南标准哪些哮喘患者被分类为重度哮喘。然后我们计算了与重度哮喘诊断相关的不准确百分比。结果 我们共回顾性分析了902例患者,其中根据2019年GINA指南标准,有334例被确定为重度哮喘患者。在这334例患者中,有218例在医院电子记录中的哮喘严重程度被错误分类为轻度(N = 14)、中度(N = 203)或未指定哮喘严重程度(N = 1)。这表明将哮喘严重程度分类为重度哮喘时的不准确百分比为65.3%。丙酸氟替卡松-沙美特罗是重度哮喘组中使用最多的吸入性糖皮质激素和长效β受体激动剂(ICS-LABA)药物(58.1%)。糠酸氟替卡松-维兰特罗被确定为最常被错误处方的ICS-LABA药物(68.2%)。结论 我们发现在我院将哮喘严重程度分类为重度时存在65.3%的不准确情况。这种不准确与临床医生对GINA指南的理解不足以及患者对GINA指南中某些标准的接受度不足有关。我们已提出建议以帮助提高哮喘严重程度评估的准确性,以便完全遵循GINA指南标准。