The hallmark of the recent latest advances in diagnostic fundus imaging technology is combination of complex hierarchical levels and depths, as well as wide-angle imaging, ultra-wide imaging. The clinical application of wide-angle and ultra-wide imaging, not only can reevaluate the role of the peripheral retina, the classification types and treatment modalities of central retinal vein occlusion, and enhance the reliability of diabetic retinopathy screening, improve the classification and therapeutic decision of diabetic retinopathy, and but also can help guide and improve laser photocoagulation. However we must clearly recognize that the dominant role of ophthalmologists in the diagnosis of ocular fundus diseases cannot be replaced by any advanced fundus imaging technology including wide-angle imaging. We emphasize to use the three factors of cognitive performance (technology, knowledge and thinking) to improve the diagnosis of ocular fundus diseases in China.
ObjectiveTo comparatively analyze for the fundus characteristics of acquired immune deficiency syndrome (AIDS) with cytomegalovirus retinitis (CMVR) between first-visit and non-first-visit in ophthalmology.MethodsA retrospective study was performed for 22 patients (41 eyes) diagnosed as CMVR with AIDS by ophthalmology in the Affiliated Municipal Hospital of Xuzhou Medical University from July 2004 to September 2017. The patients were divided into two groups: one with the first-visit in ophthalmology (FVO) and the other with the first-visit in non-ophthalmology (FVNO). All patients underwent visual acuity, intraocular pressure, slit lamp microscope and indirect ophthalmoscope examinations. Thirty-nine eyes of 21 patients with clear refractive media were examined by color fundus photography, of which 5 patients were examined by FFA. Five patients examined by OCT and B-mode ultrasound. The CMVR were characterized as fulminant type or indolent type. All the 22 patients (41 eyes) except 2 patients (4 eyes) accepted highly active antiroviral therapy, and all patients were treated with ganciclovir intravenously. Nine patients (12 eyes) received intravitreal injection of ganciclovir, 7 patients (10 eyes) underwent vitrectomy because of retinal detachment, 6 patients (7 eyes) gave up surgery because of extensive retinal detachment, and the other 12 eyes did not undergo any eye surgery. All patients were followed for 6-58 months (average 23±39 months). The incidences and fundus characteristics of the patients with fulminant or indolent CMVR were compared and analyzed. Between the two groups, the difference of visual acuity and CD4+T cell count at the first vist and the last follow-up were analyzed by a t-test, and the macular involvement and spread of the two groups were compared by a chi-square test.ResultsFulminant CMVR showed dense yellow-white necrotic lesions along the great vessels with or without satellite lesions, while indolent CMVR showed sparse yellow-white granular lesions with a little bleeding. The concomitant signs included frost-like dendritic vascular sheath, retinal artery occlusion and optic disc edema. Fourteen eyes of 7 patients in FVO group were fulminant, including 2 patients (2 eyes) with retinal artery occlusion and 1 patient (two eyes) with optic disc edema. In FVNO group, there were 27 eyes of 15 patients, including 21 eyes of 13 cases identified as fulminant type and 6 eyes of 4 patients as indolent type. In the fulminant type, there were 4 patients (6 eyes) with frost-like dendritic vascular sheath, 10 patients (12 eyes) with retinal artery occlusion and 4 patients (4 eyes) with optic disc edema. There was no significant difference in initial visual acuity (t=－1.534, P=0.133), but there was a significant difference in visual acuity at the last follow-up (t=－3.420, P=0.001). There was no significant difference in CD4+ T cells between the two groups at the first visit (t=－0.902, P=0.378). The proportions of macular involvement and 3-4 quadrant involvement in FVO group were significantly higher than those in FVNO group (χ2=7.552, 7.865; P=0.006, 0.005).ConclusionFor AIDS patients with CMVR, the first-visit in ophthalmology showed more dense necrotic lesions involving macular and a wider range of lesions than the first-visit in non-ophthalmology.
ObjectiveTo analyze the increased risks of nursing due to expansion of ophthalmic day surgery indications, and the countermeasures. MethodsWe collected the information in the last three years from January 2012 to December 2014 in the Department of Ophthalmology, including the number of operations, the proportion of cataract patients, patients aged over 70 and under 12 years old, patients with high-risk fall, the number of general anesthesia operations, adverse events, and the data from the satisfaction survey of the patients. All the data were analyzed by statistical method. ResultsDuring the last three years, the relaxation of ophthalmic day surgery indications led to an increased admission rate of high-risk patients, and caused more nursing risk factors. Through the efforts of prevention and care, during the last three years, there were no adverse events, and patients had a satisfaction rate over 90%. ConclusionAlthough the ophthalmic day surgery indication has been relaxed, through the establishment of nursing risk response system by pre-hospital guidance, admission assessment, peri-operative education and follow-up visit, with the continuous improvement of nursing management system and convenient workflow, we can not only improve the work efficiency, but also ensure nursing safety.
Ophthalmic imaging examination is the main basis for early screening, evaluation and diagnosis of eye diseases. In recent years, with the improvement of computer data analysis ability, the deepening of new algorithm research and the popularization of big data platform, artificial intelligence (AI) technology has developed rapidly and become a hot topic in the field of medical assistant diagnosis. The advantage of AI is accurate and efficient, which has great application value in processing image-related data. The application of AI not only helps to promote the development of AI research in ophthalmology, but also helps to establish a new medical service model for ophthalmic diagnosis and promote the process of prevention and treatment of blindness. Future research of ophthalmic AI should use multi-modal imaging data comprehensively to diagnose complex eye diseases, integrate standardized and high-quality data resources, and improve the performance of algorithms.