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ORIGINAL RESEARCH

Estimating the Prevalence of AATD Patients in the UK to Identify Underdiagnosis and Determine the Eligibility for Potential Augmentation Therapy

ORCID Icon, & ORCID Icon
Pages 1197-1205 | Received 10 Jan 2023, Accepted 13 May 2023, Published online: 13 Jun 2023

Figures & data

Table 1 Characteristics of Patients from the THIN Database

Table 2 Characteristics of Patients from the Birmingham Registry

Figure 1 Prevalence of symptoms and lung disease according to age in the Birmingham AATD registry.

Figure 1 Prevalence of symptoms and lung disease according to age in the Birmingham AATD registry.

Figure 2 Prevalence of smoking status according to age and index status in the Birmingham AATD registry. (a) Symptomatic index lung (n=585); (b) Asymptomatic index lung (n=71); (c) Symptomatic non-index lung (n=74); (d) Asymptomatic non-index lung (n=58).

Figure 2 Prevalence of smoking status according to age and index status in the Birmingham AATD registry. (a) Symptomatic index lung (n=585); (b) Asymptomatic index lung (n=71); (c) Symptomatic non-index lung (n=74); (d) Asymptomatic non-index lung (n=58).

Table 3 Age Distribution of Patients in the UK Population, THIN & Birmingham (Bham) Cohorts After Exclusion of Liver Index Cases