| Literature DB >> 35074784 |
Alexander F Vu1, Shilpa Kodati2, Phoebe Lin3, Bahram Bodaghi4, Parisa Emami-Naeini5.
Abstract
BACKGROUND: The COVID-19 pandemic has significantly changed practice of medicine and patient care worldwide. The impact of the pandemic on patients with uveitis is unknown. We developed the COVID-19 Practice Patterns Study Group to evaluate the effect of the pandemic on uveitis patient care.Entities:
Keywords: eye (globe); inflammation
Year: 2022 PMID: 35074784 PMCID: PMC8804303 DOI: 10.1136/bjophthalmol-2021-320368
Source DB: PubMed Journal: Br J Ophthalmol ISSN: 0007-1161 Impact factor: 4.638
Figure 1World map showing geographical distribution of specialists participating in this study (darker color shows more participants from each country). Map was generated using Microsoft Excel and Bing.
Demographics of the specialists participating in the survey
| Characteristics | Number of respondents, n (%) |
| Gender, female | 95 (51.6) |
| Years in practice following fellowship | |
| <3 years | 25 (13.5) |
| 3–5 years | 33 (17.8) |
| 6–10 years | 32 (17.3) |
| 11–20 years | 50 (27.0) |
| >20 years | 45 (24.3) |
| Type of practice | |
| Academic | 97 (51.8) |
| Private | 28 (14.9) |
| Hybrid | 62 (33.1) |
| Subspecialty | |
| Retina and uveitis | 86 (46.2) |
| Primarily uveitis | 44 (23.6) |
| Cornea and uveitis | 23 (12.3) |
| Comprehensive ophthalmology and uveitis | 19 (10.2) |
| Glaucoma and uveitis | 4 (2.1) |
| Paediatric ophthalmology and uveitis | 3 (1.6) |
| Ocular oncology and uveitis | 2 (1.0) |
| Ocular genetics | 2 (1.0) |
| Rheumatology | 2 (1.0) |
| Neuro-ophthalmology and uveitis | 1 (0.5) |
| Geographical area of practice | |
| North America | 60 (33.0) |
| Asia | 52 (28.6) |
| Europe | 40 (22.0) |
| Central/South America | 19 (10.4) |
| Oceania | 6 (3.3) |
| Africa | 5 (2.7) |
Figure 2Bar graph comparing use of teleophthalmology in uveitis practice shows that most participants implemented remote visits in their practice during the pandemic.
Immunomodulatory therapy and modifications at the time of COVID-19 pandemic
| No exposure | Positive exposure | Positive test | |
| No change in IMTs | 167 (93.3%) | 117 (65.3%) | 48 (26.9%) |
| Hold or stop select IMTs | 12 (6.7%) | 62 (34.6%) | 130 (73.0%) |
| Modifications in select IMTs | |||
| Systemic corticosteroids | |||
| Low dose | 1 (2.86%) | 5 (3.4%) | 5 (1.7%) |
| High dose | 7 (20.0%) | 23 (15.9%) | 45 (15.5%) |
| Antimetabolites | 6 (17.1%) | 18 (12.5%) | 35 (12.1%) |
| T-cell inhibitors | 6 (17.1%) | 17 (11.8%) | 32 (11.0%) |
| Cyclophosphamide | 4 (11.4%) | 22 (15.2%) | 41 (14.2%) |
| Anti-TNF-α | 3 (8.5%) | 22 (15.2%) | 42 (14.5%) |
| IL-6 inhibitors | 2 (5.7%) | 8 (5.5%) | 24 (8.3%) |
| Rituximab | 3 (8.5%) | 18 (12.5%) | 36 (12.4%) |
| Interferon-α | 3 (8.5%) | 8 (5.5%) | 23 (7.9%) |
IL-6, interleukin 6; IMTs, immunomodulatory therapies; TNF-α, tumour necrosis factor alpha.