George Maureen, Camargo Carlos A, Burnette Autumn, Chen Yuning, Pawar Ajinkya, Molony Cliona, Auclair Melissa, Wells Michael A, Ferro Thomas J
Office of Research and Scholarship, Columbia University School of Nursing, New York, NY, USA.
Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
J Asthma Allergy. 2023 May 12;16:567-577. doi: 10.2147/JAA.S383817. eCollection 2023.
The identification of risk factors associated with uncontrolled moderate-to-severe asthma is important to improve asthma outcomes. Aim of this study was to identify risk factors for uncontrolled asthma in United States cohort using electronic health record (EHR)-derived data.
In this retrospective real-world study, de-identified data of adolescent and adult patients (≥12 years old) with moderate-to-severe asthma, based on asthma medications within 12 months prior to asthma-related visit (index date), were extracted from the Optum Humedica EHR. The baseline period was 12 months prior to the index date. Uncontrolled asthma was defined as ≥2 outpatient oral corticosteroid bursts for asthma or ≥2 emergency department visits or ≥1 inpatient visit for asthma. A Cox proportional hazard model was applied.
There were 402,403 patients in the EHR between January 1, 2012, and December 31, 2018, who met the inclusion criteria and were analyzed. African American (AA) race (hazard ratio [HR]: 2.08), Medicaid insurance (HR: 1.71), Hispanic ethnicity (HR: 1.34), age of 12 to <18 years (HR 1.20), body mass index of ≥35 kg/m (HR: 1.20), and female sex (HR 1.19) were identified as risk factors associated with uncontrolled asthma ( < 0.001). Comorbidities characterized by type 2 inflammation, including a blood eosinophil count of ≥300 cells/μL (as compared with eosinophil <150 cells/μL; HR: 1.40, < 0.001) and food allergy (HR: 1.31), were associated with a significantly higher risk of uncontrolled asthma; pneumonia was also a comorbidity associated with an increased risk (HR: 1.35) of uncontrolled asthma. Conversely, allergic rhinitis (HR: 0.84) was associated with a significantly lower risk of uncontrolled asthma.
This large study demonstrates multiple risk factors for uncontrolled asthma. Of note, AA and Hispanic individuals with Medicaid insurance are at a significantly higher risk of uncontrolled asthma versus their White, non-Hispanic counterparts with commercial insurance.
识别与未控制的中重度哮喘相关的危险因素对于改善哮喘治疗效果至关重要。本研究的目的是利用电子健康记录(EHR)衍生数据,在美国队列中识别未控制哮喘的危险因素。
在这项回顾性真实世界研究中,从Optum Humedica EHR中提取了在与哮喘相关就诊(索引日期)前12个月内使用哮喘药物的青少年和成年患者(≥12岁)的去识别化数据。基线期为索引日期前12个月。未控制哮喘定义为哮喘门诊口服糖皮质激素冲击治疗≥2次、急诊科就诊≥2次或哮喘住院就诊≥1次。应用Cox比例风险模型。
在2012年1月1日至2018年12月31日期间,EHR中有402403名患者符合纳入标准并进行了分析。非裔美国人(AA)种族(风险比[HR]:2.08)、医疗补助保险(HR:1.71)、西班牙裔(HR:1.34)、12至<18岁年龄(HR 1.20)、体重指数≥35 kg/m(HR:1.20)以及女性(HR 1.19)被确定为与未控制哮喘相关的危险因素(P<0.001)。以2型炎症为特征的合并症,包括血液嗜酸性粒细胞计数≥300个细胞/μL(与嗜酸性粒细胞<150个细胞/μL相比;HR:1.40,P<0.001)和食物过敏(HR:1.31),与未控制哮喘的风险显著升高相关;肺炎也是与未控制哮喘风险增加相关的合并症(HR:1.35)。相反,过敏性鼻炎(HR:0.84)与未控制哮喘的风险显著降低相关。
这项大型研究证明了未控制哮喘的多种危险因素。值得注意的是,与拥有商业保险的非西班牙裔白人相比,拥有医疗补助保险的非裔美国人和西班牙裔个体未控制哮喘的风险显著更高。