| Literature DB >> 29867777 |
Leonardo Provetti Cunha1,2,3, Evelyn Alvernaz Figueiredo1, Henrique Pereira Araújo1, Luciana Virgínia Ferreira Costa-Cunha2, Carolina Ferreira Costa2, José de Melo Costa Neto2, Aline Mota Freitas Matos2, Marise Machado de Oliveira4, Marcus Gomes Bastos5, Mário Luiz Ribeiro Monteiro3.
Abstract
PURPOSE: To determine the level of agreement between trained family physicians (FPs), general ophthalmologists (GOs), and a retinal specialist (RS) in the assessment of non-mydriatic fundus retinography in screening for diabetic retinopathy (DR) in the primary health-care setting.Entities:
Keywords: diabetes mellitus; diabetic retinopathy; family physicians; macular edema; non-mydriatic fundus retinography; telemedicine; visual loss
Year: 2018 PMID: 29867777 PMCID: PMC5968305 DOI: 10.3389/fendo.2018.00251
Source DB: PubMed Journal: Front Endocrinol (Lausanne) ISSN: 1664-2392 Impact factor: 5.555
Figure 1Fundus retinal images of the left eye of a patient with diabetic retinopathy. (A) Fundus retinography centered on the fovea. (B) Fundus retinography centered on the optic disk. Note the presence of small hard exudate, microaneurysms, and dot-blot retinal hemorrhages around macular area (A) and small cotton wool spots and superficial retinal hemorrhages in the nasal area of the optic disk (B). The pictured eye was graded as “non-proliferative” by the retinal specialist.
Demographic and clinical data in 200 diabetic patients included in the study.
| Parameter | Description |
|---|---|
| Mean ± SD | 55.1 ± 11.7 |
| Median (min; max) | 56 (19; 76) |
| Male | 78 (39%) |
| Female | 122 (61%) |
| Mean ± SD | 130.2 ± 97.8 |
| Median (min; max) | 120 (12; 444) |
| Type 1 | 18 (9%) |
| Type 2 | 182 (91%) |
| Mean ± SD | 129.7 ± 15.3 |
| Median (min; max) | 120 (100; 190) |
| Mean ± SD | 81.9 ± 8.9 |
| Median (min; max) | 80 (60; 130) |
| Mean ± SD | 195.6 ± 87.3 |
| Median (min; max) | 179.5 (50; 550) |
| Mean ± SD | 8.9 ± 2.1 |
| Median (min; max) | 8.44 (4.6; 17) |
| Mean ± SD | 0.88 ± 0.3 |
| Median (min; max) | 0.83 (0.4; 2.3) |
Diagnostic analysis of non-mydriatic fundus images from diabetic patients and inter-grader agreement between a retinal specialist (RS) and two general ophthalmologists (GO).
| Variable | RS | GO1 | GO2 |
|---|---|---|---|
| Absent (%) | 231 (58.2) | 283 (71.3) | 215 (54.2) |
| Present (%) | 166 (41.8) | 114 (28.7) | 182 (45.8) |
| Kappa (95% CI) | 0.65 (0.57; 0.721) | 0.74 (0.67; 0.81) | |
| Sensitivity (95% CI) | 64.8 (57; 72.1) | 89.7 (84; 93.9) | |
| Specificity (95% CI) | 97 (93.9; 98.8) | 85.3 (80.1; 89.6) | |
| PPV (95% CI) | 93.9 (87.8; 97.5) | 81.3 (74.9; 86.7) | |
| PNV (95% CI) | 79.5 (74.3; 84.1) | 92.1 (87.6; 95.3) | |
| Absent (%) | 231 (58.2) | 283 (71.3) | 215 (54.2) |
| Treated (%) | 15 (3.8) | 17 (4.3) | 17 (4.3) |
| Non-proliferative (%) | 143 (36) | 82 (20.7) | 155 (39) |
| Proliferative (%) | 8 (2) | 15 (3.8) | 9 (2.3) |
| Non-gradable (%) | 0 (0) | 0 (0) | 1 (0) |
| Weighted kappa (95% CI) | 0.60 (0.53; 0.68) | 0.71 (0.64; 0.77) | |
| Absent (%) | 309 (77.8) | 377 (95) | 367 (92.4) |
| Present (%) | 88 (22.2) | 20 (5) | 30 (7.6) |
| Kappa (95% CI) | 0.27 (0.17; 0.38) | 0.43 (0.32; 0.54) | |
| Sensitivity (95% CI) | 20.5 (12.6; 30.4) | 33 (23.3; 43.8) | |
| Specificity (95% CI) | 99.4 (97.7; 99.9) | 99.7 (98.2; 100) | |
| PPV (95% CI) | 90 (68.3; 98.8) | 96.7 (82.8; 99.9) | |
| PNV (95% CI) | 81.4 (77.1; 85.2) | 83.9 (79.8; 87.5) | |
CI, confidence interval; PPV, predictive positive value; PNV, predictive negative value.
Diagnostic analysis of non-mydriatic fundus images from diabetic patients and inter-grader agreement between a retinal specialist (RS) and four trained family physicians (FPs).
| Variable | RS | FP1 | FP2 | FP3 | FP4 |
|---|---|---|---|---|---|
| Absent (%) | 231 (58.2) | 289 (72.8) | 278 (70) | 234 (58.9) | 280 (70.5) |
| Present (%) | 166 (41.8) | 108 (27.2) | 119 (30) | 163 (41.1) | 117 (29.5) |
| Kappa (95% CI) | 0.56 (0.48; 0.64) | 0.69 (0.61; 0.76) | 0.73 (0.66; 0.80) | 0.71 (0.64; 0.78) | |
| Sensitivity (95% CI) | 58.2 (50.3; 65.8) | 68.5 (60.8; 75.5) | 83.6 (77.1; 88.9) | 69.1 (61.4; 76) | |
| Specificity (95% CI) | 94.8 (91.1; 97.3) | 97.4 (94.5; 99) | 89.2 (84.5; 92.9) | 98.7 (96.3; 99.7) | |
| PPV (95% CI) | 88.9 (81.4; 94.1) | 95 (89.3; 98.1) | 84.7 (78.2; 89.8) | 97.4 (92.7; 99.5) | |
| PNV (95% CI) | 76.1 (70.8; 80.9) | 81.3 (76.2; 85.7) | 88.5 (83.7; 92.3) | 81.8 (76.8; 86.1) | |
| Absent (%) | 231 (58.2) | 289 (72.8) | 278 (70) | 234 (58.9) | 280 (70.5) |
| Treated (%) | 15 (3.8) | 15 (3.8) | 14 (3.5) | 20 (5) | 14 (3.5) |
| Non-proliferative (%) | 143 (36) | 72 (18.1) | 100 (25.2) | 132 (33.2) | 66 (16.6) |
| Proliferative (%) | 8 (2) | 21 (5.3) | 5 (1.3) | 9 (2.3) | 37 (9.3) |
| Non-gradable (%) | 0 (0) | 0 (0) | 0 (0) | 2 (0.5) | 0 (0.0) |
| Weighted kappa (95% CI) | 0.51 (0.44; 0.59) | 0.66 (0.59; 0.73) | 0.69 (0.62; 0.76) | 0.64 (0.58; 0.71) | |
| Absent (%) | 309 (77.8) | 363 (91.4) | 362 (91.2) | 358 (90.2) | 343 (86.4) |
| Present (%) | 88 (22.2) | 34 (8.6) | 35 (8.8) | 39 (9.8) | 54 (13.6) |
| Kappa (95% CI) | 0.33 (0.21; 0.44) | 0.39 (0.28; 0.51) | 0.37 (0.26; 0.48) | 0.51 (0.40; 0.62) | |
| Sensitivity (95% CI) | 28.4 (19.3; 39) | 33 (23.3; 43.8) | 33 (23.3; 43.8) | 47.7 (37; 58.6) | |
| Specificity (95% CI) | 97.1 (94.5; 98.7) | 98.1 (95.8; 99.3) | 96.8 (94.1; 98.4) | 96.1 (93.3; 98) | |
| PPV (IC 95%) | 73.5 (55.6; 87.1) | 82.9 (66.4; 93.4) | 74.4 (57.9; 87) | 77.8 (64.4; 88) | |
| PNV (IC 95%) | 82.6 (78.3; 86.4) | 83.7 (79.5; 87.4) | 83.5 (79.3; 87.2) | 86.6 (82.5; 90) | |
CI, confidence interval; PPV, predictive positive value; PNV, predictive negative value.