Objective To describe the spectral-domain optical coherence tomography (SD-OCT) features of retinal tuft. MethodsA retrospective clinical study. From May 2019 to April 2020, 22 patients (22 eyes) diagnosed as retinal tuft by clinical fundus examination in Eye Hospital of Wenzhou Medical University at Hangzhou were included in the study. There were 9 eyes in 9 males and 13 eyes in 13 females. All patients underwent ultra-widefield laser scanning fundus photography and SD-OCT examination. SD-OCT was performed with a 55° wide-angle lens to observe the morphology, color, size and location of the lesions. ResultsTwenty-six retinal tuft lesions were found in 22 eyes, all of which were solitary, gray, thylakoid and protrusion. SD-OCT images showed that all the lesions of retinal tuft showed a local protuberant appearance with moderate and hyperreflectivity, which was higher than the surrounding retina plane. In 22 lesions (84.62%, 22/26), there were one or more irregular hyporeflective cavities between the retinal neuroepithelial layers, and the other 4 lesions (15.38%,4/26) contained no hyporeflective cavities. In addition, 23 cases (88.46%, 23/26) with hyperreflective condensed cortical vitreous attached to the retina at the top of lesions, 8 cases (30.77%, 8/26) with retinal tear, and 6 cases (23.08%, 6/26) with shallow retinal detachment. ConclusionsIn SD-OCT, the retinal tufts show moderate and strong local protrusion, which are higher than the surrounding retinal plane. In most of the lesions, there are multiple or single irregular weak reflex cavities, and there are hyperreflective condensed cortical vitreous attached to the retina at the top of lesions. Local retinal tears or shallow retinal detachment are present in some lesions.
Objective To establish a risk prediction model of diabetic retinopathy (DR) for type 2 diabetic patients (T2DM). Methods A total of 315 T2DM patients (600 eyes) were enrolled in the study. There were 132 males (264 eyes) and 183 females (366 eyes). The mean age was (67.28±12.17) years and the mean diabetes duration was (10.86±7.81) years. The subjects were randomly assigned to model group and check group, each had 252 patients (504 eyes) and 63 patients (126 eyes) respectively. Some basic information including gender, age, education degree and diabetes duration were collected. The probable risk factors of DR including height, weight, blood pressure, fasting glucose, glycosylated hemoglobin (HbA1c), blood urea, serum creatinine, uric acid, triglyceride, total cholesterol, high-density lipoprotein, low density lipoprotein cholesterol and urinary protein. The fundus photograph and the axial length were measured. Multivariate logistic regression was used to analyze the correlative factors of DR and establish the regression equation (risk model). Receiver operating characteristic (ROC) curves were used to determine the cut-off point for the score. The maximum Youden Index was used to determine the threshold of the equation. The check group was used to check the feasibility of the predictive model. Results Among 504 eyes in the model group, 170 eyes were DR and 334 eyes were not. Among 126 eyes in the check group, 45 eyes were DR and 81 eyes were not. Multivariate logistic regression analysis revealed that axial length [β=–0.196, odds ratio (OR)=0.822,P＜0.001], age (β=-0.079,OR=0.924,P＜0.001), diabetes duration (β=0.048,OR=1.049,P=0.001), HbA1c (β=0.184,OR=1.202,P=0.020), urinary protein (β=1.298,OR=3.661,P＜0.001) were correlated with DR significantly and the simplified calculation of the score of DR were as follows:P=7.018–0.196X1–0.079X2+0.048X3+0.148X4+1.298X5 (X1= axial length, X2=age, X3=diabetes duration, X4=glycosylated hemoglobin, X5= urinary protein). The area under the ROC curve for the score DR was 0.800 and the cut-off point of the score was -1.485. The elements of the check group were substituted into the equation to calculate the scores and the scores were compared with the diagnostic threshold to ensure the patients in high-risk of DR. The result of the score showed 84% sensitivity and 59% specificity. ROC curve for the score to predict DR was 0.756. Conclusion Axial length, age, diabetes duration, HbA1c and urinary protein have significant correlation with DR. The sensitivity and specificity of the risk model to predict DR are 84.0% and 59.0% respectively. The area under the ROC curve was 0.756.