| Literature DB >> 34121836 |
Mohammed Salah Eldin Abdelbaky1, Tarek Ahmad El Mamoun2, Fatma Ibrahim Mabrouk1, Rasha Mohamad Hassan1.
Abstract
BACKGROUND: Hydroxychloroquine (HCQ) is an antimalarial drug, recently used in COVID-19 treatment. Also it is considered over many years the cornerstone in treating systemic lupus erythematosus (SLE) in adults and children. The incidence of retinal affection and retinal toxicity from hydroxychloroquine is rare, but even after the HCQ is stopped, loss of vision may not be reversible and may continue to progress. Fundus autofluorescence (FAF) is one of the screening methods recommended by AAO used for the diagnosis of hydroxychloroquine retinopathy. Our aim is to detect early HCQ-induced retinopathy among SLE patients and the risk factors for its development by using fundus autofluorescence.Entities:
Keywords: Frequency; Fundus autofluorescent; Hydroxychloroquine retinopathy; Risk factors; SLE
Year: 2021 PMID: 34121836 PMCID: PMC8184260 DOI: 10.1186/s43162-021-00047-y
Source DB: PubMed Journal: Egypt J Intern Med ISSN: 1110-7782
Fig. 1Normal fundus autoflourscent
Fig. 2Retinal Pigmented Epithelium by fundus autoflourscent (RPE)
Fig. 3Bull’s eye by fundus autofluorescent
Clinical data of SLE patients at the time of enrollment
| Clinical parameter | Mean | Range | |
|---|---|---|---|
| 31.24 ± 7.41 | 18–50 | ||
| 72 (90%)/8 (10%) | |||
| | 0.3–15 | ||
| | 4.89± 1.01 | 2.2–7.1 | |
| | 713.67 ± 498.75 | 36.5 ± 2190 | |
| | 0–25 | ||
| | 0.85 ± 0.30 | 0.1–1/0.16–1 | |
| | 5–140 | ||
| | 75 (93.8%) | ||
| | 49 (61.3% | ||
| | 77 (96.2%) | ||
| | 3 (3.8%) | ||
| | 75 (93.8%) | ||
| | 5 (6.3%) | ||
| | 68 (85.0%) | ||
| | 9 (11.3%) | ||
| | 3 (33.8%) | ||
SLEDAI Systemic Lupus Erythematosus Disease Activity Index, HCQ hydroxychloroquine, BCVA best-corrected visual acuity, ESR erythrocyte sedimentation rate, FAF fundus autofluorescence, ANA antinuclear antibody, Anti-DNA anti-deoxyribonucleic acid, RPE retinal pigmented epithelium
Comparison between normal FAF group and abnormal FAF group
| Normal FAF | Abnormal FAF | Test value | Sig. | |||
|---|---|---|---|---|---|---|
| No. = 75 | No. = 5 | |||||
| 31.15 | 32.60 | 0.423 | 0.674 | NS | ||
| 68/7 (90/9%) | 4/1 (80/20%) | 0.593 | 0.441 | NS | ||
5 (2–6) 0.3–15 | 10 (8–10) 8 – 15 | − 3.017c | 0.003 | HS | ||
4.86 2.2–7.1 | 5.28 4.4–6.6 | − 0.896a | 0.373 | NS | ||
661.96 ± 461.26 36.5–2190 | 1489.20 ± 418.08 1168–2190 | − 3.901 | 0.000 | HS | ||
| 75 (100%) | 2 (40.0%) | 46.753a | 0.000 | HS | ||
| 0 (0%) | 3 (60.0%) | |||||
| 0.88 ± 0.27 | 0.40 ± 0.37 | 3.702b | 0.000 | HS | ||
| 0.1–1 | 0.1–1 | |||||
| 0.93 ± 0.19 | 0.31 ± 0.17 | 6.873b | 0.000 | HS | ||
| 0.16–1 | 0.16–0.5 | |||||
P value > 0.05: non-significant (NS); P value < 0.05: significant (S); P value < 0.01: highly significant (HS)
SLEDAI Systemic Lupus Erythematosus Disease Activity Index, HCQ hydroxychloroquine, BCVA best-corrected visual acuity, FAF fundus autofluorescence, RPE retinal pigmented epithelium
aChi-square test
bIndependent t test
cMann-Whitney test
Comparison between the 10–12 visual field and FAF
| FAF Normality | Normal Visual field | Abnormal Visual field | Test value | Sig. | |||
|---|---|---|---|---|---|---|---|
| No. | % | No. | % | ||||
| 68 | 100.0% | 4 | 44.4% | 40.401 | < 0.001 | HS | |
| 0 | 0.0% | 5 | 55.6% | ||||
Diagnostic accuracy of FAF in prediction of visual field results
| Variables | Accuracy | Sensitivity | Specificity | +PV | −PV |
|---|---|---|---|---|---|
| FAF | 94.81% | 55.6% | 100.0% | 100.0% | 94.4% |
Fig. 4Receiver operating characteristic curve (ROC) for (HCQ Duration) as a predictor of abnormal FAF cases
Fig. 5Receiver operating characteristic curve (ROC) for (BCVA) as a predictor of abnormal FAF cases
Receiver operating characteristic curve (ROC) for predictors of abnormal FAF cases
| Variables | Cutoff point | AUC | Sensitivity | Specificity | +PV | −PV |
|---|---|---|---|---|---|---|
| > 7 | 0.900 | 100.00 | 82.67 | 27.8 | 100.0 | |
| ≤ 0.5 | 0.832 | 80.00 | 85.33 | 26.7 | 98.5 | |
| ≤ 0.5 | 0.963 | 100.00 | 89.33 | 38.5 | 100.0 |
BCVA best-corrected visual acuity, AUC area under curve, +PV true positive value, −PV false positive value