■视网膜和视神经疾病已成为不可逆视力丧失和失明的主要原因。然而,在中国仍然缺乏对其患病率的全面评估。
■这项基于人工智能的国家筛查研究应用了以前开发的深度学习算法,称为视网膜人工智能诊断系统(RAIDS)。从中国19个省的65个检查中心提取了2019年1月至2021年12月的身份识别个人病历。在第七次全国人口普查中,通过绘制标准人口来计算粗患病率和年龄性别调整后的患病率。
■在2021年,调整后的转诊可能青光眼(63.29,95%置信区间[CI]=57.12-68.90例/1000),视网膜黄斑前膜(21.84,95%CI=15.64-29.22),年龄相关性黄斑变性(13.93,95%CI=11.09-17.17),糖尿病视网膜病变(11.33,95%CI=8.89-13.77)在10种疾病中排名最高。女性参与者的病理性近视的调整患病率明显较高,然而,糖尿病视网膜病变的调整患病率较低,转诊可能是青光眼,和高血压视网膜病变比男性参与者。从2019年到2021年,调整后的视网膜静脉阻塞患病率(0.99,95%CI=0.73-1.26至1.88,95%CI=1.42-2.44),黄斑裂孔(0.59,95%CI=0.41-0.82至1.12,95%CI=0.76-1.51),和高血压视网膜病变(0.53,95%CI=0.40-0.67至0.77,95%CI=0.60-0.95)显着增加。50岁以下参与者的糖尿病视网膜病变患病率显著增加。
■视网膜和视神经疾病在中国是一个重要的公共卫生问题。需要进一步的完善的流行病学研究来验证观察到的糖尿病视网膜病变患病率增加。高血压视网膜病变,视网膜静脉阻塞,和全国范围内的黄斑孔。
■该人工智能系统可以成为在广阔地理区域内监测主要视网膜和视神经疾病患病率的潜在工具。
UNASSIGNED: Retinal and optic nerve diseases have become the primary cause of irreversible vision loss and blindness. However, there is still a lack of thorough evaluation regarding their prevalence in
China.
UNASSIGNED: This artificial intelligence-based national screening study applied a previously developed deep learning algorithm, named the Retinal Artificial Intelligence Diagnosis System (RAIDS). De-identified personal medical records from January 2019 to December 2021 were extracted from 65 examination centers in 19 provinces of
China. Crude prevalence and age-sex-adjusted prevalence were calculated by mapping to the standard population in the seventh national census.
UNASSIGNED: In 2021, adjusted referral possible glaucoma (63.29, 95% confidence interval [CI] = 57.12-68.90 cases per 1000), epiretinal macular membrane (21.84, 95% CI = 15.64-29.22), age-related macular degeneration (13.93, 95% CI = 11.09-17.17), and diabetic retinopathy (11.33, 95% CI = 8.89-13.77) ranked the highest among 10 diseases. Female participants had significantly higher adjusted prevalence of pathologic myopia, yet a lower adjusted prevalence of diabetic retinopathy, referral possible glaucoma, and hypertensive retinopathy than male participants. From 2019 to 2021, the adjusted prevalence of retinal vein occlusion (0.99, 95% CI = 0.73-1.26 to 1.88, 95% CI = 1.42-2.44), macular hole (0.59, 95% CI = 0.41-0.82 to 1.12, 95% CI = 0.76-1.51), and hypertensive retinopathy (0.53, 95% CI = 0.40-0.67 to 0.77, 95% CI = 0.60-0.95) significantly increased. The prevalence of diabetic retinopathy in participants under 50 years old significant increased.
UNASSIGNED: Retinal and optic nerve diseases are an important public health concern in
China. Further well-conceived epidemiological studies are required to validate the observed increased prevalence of diabetic retinopathy, hypertensive retinopathy, retinal vein occlusion, and macular hole nationwide.
UNASSIGNED: This artificial intelligence system can be a potential tool to monitor the prevalence of major retinal and optic nerve diseases over a wide geographic area.