Stephen Cook, Benjamin Longo-Mbenza
The Eye Centre, East London, Eastern Cape Province, South Africa.
Int J Ophthalmol. 2013;6(1):95-102. doi: 10.3980/j.issn.2222-3959.2013.01.20. Epub 2013 Feb 18.
It is difficult for Optometrists and General Practitioners to know which patients are at risk. The East London glaucoma prediction score (ELGPS) is a web based risk calculator that has been developed to determine Glaucoma risk at the time of screening. Multiple risk factors that are available in a low tech environment are assessed to provide a risk assessment. This is extremely useful in settings where access to specialist care is difficult. Use of the calculator is educational. It is a free web based service. Data capture is user specific.
The scoring system is a web based questionnaire that captures and subsequently calculates the relative risk for the presence of Glaucoma at the time of screening. Three categories of patient are described: Unlikely to have Glaucoma; Glaucoma Suspect and Glaucoma. A case review methodology of patients with known diagnosis is employed to validate the calculator risk assessment.
Data from the patient records of 400 patients with an established diagnosis has been captured and used to validate the screening tool. The website reports that the calculated diagnosis correlates with the actual diagnosis 82% of the time. Biostatistics analysis showed: Sensitivity = 88%; Positive predictive value = 97%; Specificity = 75%.
Analysis of the first 400 patients validates the web based screening tool as being a good method of screening for the at risk population. The validation is ongoing. The web based format will allow a more widespread recruitment for different geographic, population and personnel variables.
验光师和全科医生很难知晓哪些患者处于风险之中。东伦敦青光眼预测评分(ELGPS)是一种基于网络的风险计算器,旨在在筛查时确定青光眼风险。它会评估在低技术环境中可得的多个风险因素,以提供风险评估。这在难以获得专科护理的环境中极为有用。使用该计算器具有教育意义。它是一项免费的基于网络的服务。数据采集是针对用户特定的。
评分系统是一个基于网络的问卷,用于收集并随后计算筛查时患青光眼的相对风险。描述了三类患者:不太可能患青光眼;青光眼疑似患者和青光眼患者。采用对已知诊断患者的病例回顾方法来验证计算器的风险评估。
已收集来自400例确诊患者病历的数据,并用于验证筛查工具。该网站报告称,计算出的诊断结果与实际诊断结果在82%的时间内相符。生物统计学分析显示:灵敏度 = 88%;阳性预测值 = 97%;特异性 = 75%。
对首批400例患者的分析验证了基于网络的筛查工具是筛查高危人群的一种好方法。验证工作正在进行中。基于网络的形式将允许针对不同的地理、人群和人员变量进行更广泛的招募。