St. Michael's Hospital, Department of Respirology, University of Toronto, Toronto, ON, Canada; Keenan Research Centre, Li Ka Shing Knowledge Institute, Toronto, ON, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.
St. Michael's Hospital, Department of Respirology, University of Toronto, Toronto, ON, Canada.
J Cyst Fibros. 2023 May;22(3):443-449. doi: 10.1016/j.jcf.2022.10.008. Epub 2022 Nov 10.
The availability of new diagnostic algorithms for cystic fibrosis (CF), changing population demographics and programs that impact family planning decisions can influence incidence rates. Thus, previously reported incidence rates in Canada and the United States (US) may be outdated. The objectives of this study were to estimate contemporary CF incidence rates in Canada and the US and to determine if the incidence rate has changed over time.
This population-based cohort study utilized data between 1995-2019 from the Canadian CF Registry (CCFR), Statistics Canada, US CF Foundation Patient Registry (CFFPR) data, and US Center for Disease Control (CDC) National Vital Statistics System. Incidence was estimated using the number of live CF births by year, sex, and geographic region using Poisson regression, with the number of live births used as the denominator. To account for delayed diagnoses, we imputed the proportion of diagnoses expected given historical trends, and varying rates of newborn screening (NBS) implementation by region.
After accounting for implementation of NBS and delayed diagnoses, the estimated incidence rate for CF in 2019 was 1:3848 (95% CI: 1:3574, 1:4143) live births in Canada compared to 1:5130 (95% CI:1:4996, 1:5267) in the US. There was substantial regional variation in incidence rates within both Canada and the US. Since 1995, incidence rates have decreased at a rate of 1.6% per year in both countries (p<0.001).
Contemporary CF incidence rates suggest CF incidence is lower than previously reported and varies widely within North America. This information is important for resource planning and for tracking how programs (e.g., genetic counselling, modulator availability etc.) may impact the incidence of CF moving forward.
囊性纤维化 (CF) 的新诊断算法的可用性、人口统计学的变化以及影响家庭计划决策的项目都可能影响发病率。因此,以前在加拿大和美国报告的发病率可能已经过时。本研究的目的是估计加拿大和美国目前 CF 的发病率,并确定发病率是否随时间发生变化。
这项基于人群的队列研究利用了加拿大 CF 登记处 (CCFR)、加拿大统计局、美国 CF 基金会患者登记处 (CFFPR) 数据和美国疾病控制与预防中心 (CDC) 国家生命统计系统 1995 年至 2019 年的数据。使用泊松回归,根据每年、性别和地理区域的活 CF 出生人数来估计发病率,以活产数作为分母。为了考虑到延迟诊断,我们根据历史趋势推断出预期的诊断比例,并根据不同地区的新生儿筛查 (NBS) 实施情况,推断出不同的发病率。
在考虑到 NBS 的实施和延迟诊断后,2019 年加拿大 CF 的估计发病率为每 3848 例活产中有 1 例(95%CI:3574-4143),而美国的发病率为每 5130 例活产中有 1 例(95%CI:4996-5267)。加拿大和美国的发病率都存在显著的区域差异。自 1995 年以来,两国的发病率每年以 1.6%的速度下降(p<0.001)。
目前 CF 的发病率表明 CF 的发病率低于以前的报告,并且在北美范围内差异很大。这些信息对于资源规划以及跟踪程序(例如遗传咨询、调节剂的可用性等)如何影响 CF 的发病率具有重要意义。