Firoozi Faranak, Lemière Catherine, Beauchesne Marie-France, Forget Amélie, Blais Lucie
Université de Montréal, Faculté de pharmacie, CP 6128, Succursale Centre-ville, Montreal, Québec, Canada H3C 3J7.
Thorax. 2007 Jul;62(7):581-7. doi: 10.1136/thx.2006.061572. Epub 2007 Feb 7.
The use of administrative databases to perform epidemiological studies in asthma has increased in recent years. The absence of clinical parameters to measure the level of asthma severity and control is a major limitation of database studies. A study was undertaken to develop and validate two database indexes to measure the control and severity of asthma.
Database indexes of asthma severity and control were derived from definitions in the Canadian Asthma Consensus Guidelines based on dispensed prescriptions and on medical services recorded in two large administrative databases from the Canadian province of Québec (Régie de l'Assurance Maladie du Québec (RAMQ) and MED-ECHO) over 12 months. The database indexes of asthma severity and control were validated against the pulmonary function test results of 71 patients with asthma randomly selected from two asthma clinics, and they were also applied to a cohort of patients with asthma followed up for 139 283 person-years selected from the RAMQ and MED-ECHO databases between 1 January 1997 and 31 December 2004.
According to the database indexes, 49.3%, 29.6% and 21.1% of patients recruited at the asthma clinics were found to have mild, moderate and severe asthma, respectively, while 53.5% were found to have controlled asthma. The mean predicted value of the forced expiratory volume in 1 s (FEV(1)) ranged from 89.8% for mild asthma to 61.5% for severe asthma (p<0.001), whereas the range from controlled to uncontrolled asthma was 89.5% to 67.3% (p<0.001). The ratio of the FEV(1) to the forced vital capacity (FEV(1)/FVC ratio) measured in 56 patients ranged from 75.8% for mild asthma to 61.8% for severe asthma (p = 0.030), whereas the range from controlled to uncontrolled asthma was 75.3% to 65.7% (p<0.001).
In the absence of clinical data, these database indexes could be used in epidemiological studies to assess the severity and control of asthma.
近年来,利用行政数据库开展哮喘流行病学研究的情况有所增加。缺乏用于衡量哮喘严重程度和控制水平的临床参数是数据库研究的一个主要局限。开展了一项研究以开发并验证两个用于衡量哮喘控制和严重程度的数据库指标。
哮喘严重程度和控制的数据库指标源自《加拿大哮喘共识指南》中的定义,基于12个月内加拿大魁北克省两个大型行政数据库(魁北克医疗保险局(RAMQ)和MED-ECHO)中记录的配药处方和医疗服务。将哮喘严重程度和控制的数据库指标与从两家哮喘诊所随机选取的71例哮喘患者的肺功能测试结果进行验证,并且还将其应用于1997年1月1日至2004年12月31日期间从RAMQ和MED-ECHO数据库选取的随访139283人年的一组哮喘患者。
根据数据库指标,在哮喘诊所招募的患者中,分别有49.3%、29.6%和21.1%被发现患有轻度、中度和重度哮喘,而53.5%被发现哮喘得到控制。一秒用力呼气量(FEV(1))的平均预测值范围为轻度哮喘患者的89.8%至重度哮喘患者的61.5%(p<0.001),而从控制良好到控制不佳的哮喘患者的范围为89.5%至67.3%(p<0.001)。在56例患者中测量的FEV(1)与用力肺活量之比(FEV(1)/FVC比值)范围为轻度哮喘患者的75.8%至重度哮喘患者的61.8%(p = 0.030),而从控制良好到控制不佳的哮喘患者的范围为75.3%至65.7%(p<0.001)。
在缺乏临床数据的情况下,这些数据库指标可用于流行病学研究以评估哮喘的严重程度和控制情况。