Abstract：
BACKGROUND: Seasonal variations seem to modify the incidence of rhegmatogenous retinal detachment (RRD), with a summer peak, although the meteorological parameters involved have not been studied in France. In order to conduct a national study evaluating the association between the occurrence of RRD and various climatological variables (METEO-POC study), we need to establish a national cohort of patients having undergone surgery for RRD. The data of the National Health Data System (SNDS) allow the realization of epidemiological studies concerning various pathologies. However, as these databases were initially intended for medical administrative use, the identification of the pathologies coded in these databases must be validated before any use for research purposes. In order to carry out a cohort study using SNDS data, the objective of this study is to validate the identification criteria for patients having undergone RRD surgery at Toulouse University Hospital.
METHODS: We compared the cohort of RRD surgery patients at Toulouse University Hospital from January to December 2017 assembled from SNDS data with the cohort of patients meeting the same selection criteria assembled from Softalmo software data.
RESULTS: With a positive predictive value of 82.0%, a sensitivity of 83.8%, a specificity of 69.9%, and a negative predictive value of 72.5%, we can consider that our eligibility criteria are performing well.
CONCLUSIONS: Since the selection of patients via SNDS data is reliable at Toulouse University Hospital, we can use it at the national level for the METEO-POC study.
METHODS: We compared the cohort of RRD surgery patients at Toulouse University Hospital from January to December 2017 assembled from SNDS data with the cohort of patients meeting the same selection criteria assembled from Softalmo software data.
RESULTS: With a positive predictive value of 82.0%, a sensitivity of 83.8%, a specificity of 69.9%, and a negative predictive value of 72.5%, we can consider that our eligibility criteria are performing well.
CONCLUSIONS: Since the selection of patients via SNDS data is reliable at Toulouse University Hospital, we can use it at the national level for the METEO-POC study.
摘要：
背景：季节变化似乎改变了孔源性视网膜脱离（RRD）的发生率，夏季高峰，尽管在法国尚未研究涉及的气象参数。为了进行一项全国性研究，评估RRD的发生与各种气候变量之间的关联（METEO-POC研究），我们需要建立一个接受RRD手术的全国患者队列.国家健康数据系统（SNDS）的数据允许实现有关各种病理的流行病学研究。然而,由于这些数据库最初用于医疗行政管理，在用于研究目的之前，必须验证这些数据库中编码的病理的识别。为了使用SNDS数据进行队列研究，本研究的目的是验证在图卢兹大学医院接受RRD手术患者的鉴定标准.
方法：我们将2017年1月至12月图卢兹大学医院的RRD手术患者队列与符合相同选择标准的Softalmo软件数据的患者队列进行了比较。
结果：阳性预测值为82.0%，灵敏度为83.8%，特异性为69.9%，阴性预测值为72.5%，我们可以认为我们的资格标准表现良好。
结论：由于图卢兹大学医院通过SNDS数据选择患者是可靠的，我们可以在国家层面使用它进行METEO-POC研究。
方法：我们将2017年1月至12月图卢兹大学医院的RRD手术患者队列与符合相同选择标准的Softalmo软件数据的患者队列进行了比较。
结果：阳性预测值为82.0%，灵敏度为83.8%，特异性为69.9%，阴性预测值为72.5%，我们可以认为我们的资格标准表现良好。
结论：由于图卢兹大学医院通过SNDS数据选择患者是可靠的，我们可以在国家层面使用它进行METEO-POC研究。
