| Literature DB >> 35006330 |
Birthe Stemplewitz1, Joel Luethy2, Ulrich Schaudig1, Marc Schargus3, Mau-Thek Eddy4, Martin Spitzer5, Ulrike Brocks5, Julie Kieckhoefel1, Christa Schneemann1.
Abstract
PURPOSE: This study aims to evaluate the impact of the first coronavirus 2019 (COVID-19) wave in 2020 on patients scheduled for intravitreal injections (IVI) in a German metropolitan region.Entities:
Keywords: Adherence; COVID-19; Intravitreal injections; Pandemic
Mesh:
Substances:
Year: 2022 PMID: 35006330 PMCID: PMC8743739 DOI: 10.1007/s00417-021-05521-5
Source DB: PubMed Journal: Graefes Arch Clin Exp Ophthalmol ISSN: 0721-832X Impact factor: 3.535
Age, sex, duration of intravitreal injection (IVI) treatment and distribution of patients among the four hospitals of the recruited patients and number and proportion of questionnaires completely filled out and evaluated
| Recruited patients ( | Completely answered questionnaire ( | |
|---|---|---|
| Male | 44% ( | 44% ( |
| Age (years) | 77 (± 10) | 79 (± 10) |
| IVI treatment period (years) | 3.1 (± 3,0) | 3.1 (± 3,0) |
| AKN | 30% ( | 34% ( |
| AKB | 38% ( | 45% ( |
| AKA | 12% ( | 13% ( |
| UKE | 20% ( | 9% ( |
Diagnosis and number of treated eyes with intravitreal injection among the study period
| Diagnosis | Treated eyes ( |
|---|---|
| Neovascular AMD | 67% ( |
| Diabetic macular oedema | 15% ( |
| Retinal vein occlusion | 15% ( |
| Other CNV | 3% ( |
Number of intravitreal injections during the study period per patient
| IVI during study period | Performed intravitreal injections ( |
|---|---|
| 1 IVI | 16% ( |
| 2 IVI | 25% ( |
| 3 IVI | 31% ( |
| 4 IVI | 20% ( |
| 5 IVI | 6% ( |
| 6 IVI | 2% ( |
Probability of cancellation
| Probability of cancellation: | ||
|---|---|---|
| Odds ratio (95% confidence interval) | ||
| IVI treatment period | 1.15 (1.09; 1.20) | |
| Age of patient | 0.97 (0.96; 0.99) | |
| Low baseline visual acuity | 1.26 (1.05; 1.51) | |
| COVID-19 infection in family environment | 5.52 (2.68; 10.40) | |
| Increasing visual acuity of the non-treated eye | 0.86 (0.55; 1.30) | |
| nAMD baseline diagnosis | 0.64 (0.44; 0.92) | |
| DME baseline diagnosis | 1.63 (1.02; 2.52) | |
| RVO baseline diagnosis | 1.10 (0.67; 1.73) | |
| Other baseline diagnoses | 1.72 (0.66; 3.69) | |
| Bilateral IVI during study period | 0.87 (0.56; 1.41) | |
| Immobility | 0.43 (0.20; 0.81) | |
| Living alone | 0.69 (0.46; 1.01) | |
| Care level | 0.59 (0.26; 1.14) | |
| Use of public transport and taxi | 0.89 (0.62; 1.28) | |
| Support of relatives | 1.00 (0.69; 1.44) | |
| Report of home supply problems | 0.42 (0.02; 1.92) | |
| Gender | 1.09 (0.76; 1.60) |
Fig. 1Probability of cancellation correlated to IVI treatment period (years); plot effect (black line, calculated probability; grey ribbon, 95% confidence interval)
Fig. 2Probability of cancellation correlated to age (years); plot effect (black line, calculated probability; grey ribbon, 95% confidence interval)
Fig. 3Probability of cancellation correlated to visual acuity (logMAR BCVA) of the treated eye; plot effect (black line, calculated probability; grey ribbon, 95% confidence interval)
Fig. 4Probability of cancellation correlated to visual acuity (logMAR BCVA) of the fellow untreated eye; plot effect (black line, calculated probability; grey ribbon, 95% confidence interval)