| Literature DB >> 33597801 |
Dilini Vethanayagam1, Jillian Peters1, Emad Saad1, Kimberley Mulchey1, Ashley-Mae Gillson1, Brian McNab1, Maxine Farr-Jones1, Tomasz Hruczkowski2, Gregg Blevins3, Richard Coulden4, Gavin Oudit2, Jeremy Beach5.
Abstract
INTRODUCTION: Sarcoidosis is a multi-system disease reported to occur with a higher incidence in Alberta than many other health jurisdictions within and outside of Canada. The reasons for this higher incidence are currently not known. Exposure to beryllium can result in a clinically and radiologically identical disease to sarcoidosis. The purpose of our study was to identify patterns with potential occupational or environmental exposures to beryllium amongst individuals with sarcoidosis in Alberta through a tertiary referral center.Entities:
Keywords: beryllium; environmental exposure; epidemiology; occupational exposure; sarcoidosis
Year: 2020 PMID: 33597801 PMCID: PMC7883513 DOI: 10.36141/svdld.v37i4.8522
Source DB: PubMed Journal: Sarcoidosis Vasc Diffuse Lung Dis ISSN: 1124-0490 Impact factor: 0.670
Baseline Demographics of Sarcoidosis Recruits
| Gender (F/M) 20/25 | |||
| Age at recruitment (years) 50.6 +/- 13.6 | |||
| Body Mass Index (kg/m2) 31.5 +/- 6.7 | |||
| % of total | |||
| Region of residence | Urban | 21 | 47 |
| Suburban | 12 | 27 | |
| Rural/remote | 12 | 27 | |
| Ethnicity | White | 41 | 91 |
| South Asian | 2 | 4 | |
| Black | 1 | 2 | |
| Mixed | 1 | 2 | |
| Organ systems involved | respiratory | 44 | 98 |
| cardiac | 14 | 31 | |
| neurological | 8 | 18 | |
| ocular | 6 | 13 | |
| sarcoidosis arthritis | 5 | 11 | |
| skin | 4 | 9 | |
Fig. 1.Thoracic Radiographic Staging
Lifetime Exposure History by Job Title/Category
| Job Title / Exposure Category* | Females (%) | Males (%) | Total (%) |
| Farming/agricultural work | 6 (30) | 6 (24) | 12 (26.7) |
| Oil and gas | 0 | 9 (36) | 9 (20) |
| Metalworking | 1 (5) | 7 (28) | 8 (17.8) |
| Animal handler/veterinarian | 4 (20) | 4 (16) | 8 (17.8) |
| Construction | 1 (5) | 6 (24) | 7 (15.6) |
| None of the above | 4 (20) | 3 (12) | 7 (15.6) |
| Health care sector | 5 (25) | 1 (4) | 6 (13.3) |
| Lumber/wood products | 0 | 5 (20) | 5 (11.1) |
| Mining | 1 (5) | 2 (8) | 3 (6.7) |
| Chemical industry | 0 | 3 (12) | 3 (6.7) |
| Stone, clay, glass or concrete | 0 | 3 (12) | 3 (6.7) |
| Metal industry | 1 (5) | 2 (8) | 3 (6.7) |
| Manufacturing of heating equipment | 1 (5) | 2 (8) | 3 (6.7) |
| Repairing electrical equipment | 0 | 3 (12) | 3 (6.7) |
| Pulp and paper industry | 0 | 2 (8) | 2 (4.4) |
| Manufacturing of industrial equipment | 0 | 2 (8) | 2 (4.4) |
| Manufacturing of automotive electrical equipment | 0 | 2 (8) | 2 (4.4) |
| Repairing/rebuilding automotive electrical equipment | 0 | 2 (8) | 2 (4.4) |
| Manufacturing/rebuilding of non-electrical vehicle parts | 0 | 2 (8) | 2 (4.4) |
| Armed forces | 1 (5) | 0 | 1 (2.2) |
| Firefighting | 0 | 1 (4) | 1 (2.2) |
*Adapted from Henneberger, P., et al. (14)
Fig. 2.Patient Quality of Life Status (EQ-5DTM) at Baseline and at 6** and 12-Month* Interviews. (*In one subject, 6-month value was used for 12-month data point as no information could be obtained for final interview. **Two additional data points missing from 6-month interviews).