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.

BACKGROUND: Survival after meningioma surgery is often reported with inadequate allowance for competing causes of death.
METHODS: We processed the French administrative medical database (Système National des Données de Santé: SNDS), to retrieve appropriate cases of surgically treated meningioma. Cause-specific survival in meningioma-related death was analyzed with the Fine & Gray (F&G) and cause-specific (CS) Cox models to identify associated factors.
RESULTS: Five-year cumulative incidence was 2.85% for meningioma-related death and 6.3% for unrelated death (P<0.001). In the adjusted F&G and cause-specific Cox regression models for meningioma-related death, gender, age at surgery, co-morbidities, neurofibromatosis type 2, tumor insertion, tumor grade, cerebrospinal fluid (CSF) shunt insertion, preoperative embolization and need for redo surgery for recurrence emerged as independent prognostic factors of cause-specific survival (CSS) in meningioma-related death.
CONCLUSIONS: At 5 years, the risk of meningioma-unrelated death was 2.21-fold greater than the risk of dying from the meningioma disease. Five-year CSS after meningioma surgery was greater in younger adults with benign spinal meningioma with low comorbidity. Those with malignant cranial tumor requiring preoperative embolization or CSF shunting for associated hydrocephalus and with severely degraded overall health status showed a significantly increased risk of meningioma-related death. Redo surgery for recurrence failed to improve the risk of meningioma-related death. We recommend the use of net survival methods such as CSS in meningioma studies where unrelated mortality is predominant, as this approach results in more accurate estimates of disease risk and associated predictors.