학술논문

Seasonal Variation and Meteorological Risk Factors in the Five-Year Incidence of Rhegmatogenous Retinal Detachment in the Central Region of Portugal.
Document Type
Abstract
Source
Ophthalmic Research. 2016 Supplement 1, Vol. 56, p48-48. 1/2p.
Subject
*RETINAL detachment
*THERAPEUTICS
RISK factors
PHYSIOLOGICAL effects of seasonal temperature variations
Language
ISSN
0030-3747
Abstract
Introduction/Background: To explore the presence of seasonality and the influence of clinical and meteorological factors in the 5-year incidence of rhegmatogenous retinal detachment (RDD) in the central region of Portugal. Methods: Retrospective study. All adult patients that underwent pars plana vitrectomy and/or scleral buckling surgery for de novo RRD between January 2010 and December 2014 at a tertiary referral hospital in the central region of Portugal were included. Demographical and clinical factors for RRD were collected from the patients' file and daily meteorological data (temperature, humidity, precipitation, atmospheric pressure and solar radiation) was obtained from 6 meteorological stations of the central region of Portugal. Three regression models were built: 1) a forecasting model to account for seasonality - the chronological model; 2) a climate data model to account for the influence of weather factors - the meteorological model; and 3) a combined model - the biological model. Results: Nine hundred and fourteen eyes from 898 patients were included. Mean age was 61.84 ± 14.00 years, 64.6% were males and 45.8% had at least one identifiable risk factor for RDD. The chronological model was significant for the presence of seasonality, demonstrating two different peaks, one in May (p = 0.019) and one in September (p = 0.01). The meteorological model was significant for temperature (OR 3.1 [1.3 - 4.9], p = 0.001 for every 5ºC increase in temperature). The biological model was significant for age from 18-39 and >60 years old (p < 0.001), male sex (p < 0.001), high myopia (p < 0.001), previous trauma or ocular surgery (p < 0.001) and temperature (p = 0.039), explaining 93% (adjusted R2) of RDD incidence over the study period. Conclusions: By combining meteorological, demographical and clinical data we were able to explain 93% of the RDD incidence in the central region of Portugal over a 5-year period. Our results demonstrated a significant seasonal variation that appears to be explained by temperature. Acknowledgements: Weather Institutions in Portugal. [ABSTRACT FROM AUTHOR]