Descriptive epidemiological study of glaucoma in the Far Eastern Federal District covering the years 2012 to 2019

L. P. Dogadova, E. V. Girenok, E. Markelova, V. Melnikov
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Abstract

PURPOSE. To conduct a descriptive epidemiological study of glaucoma in the Far Eastern Federal District covering the years 2012 to 2019.METHODS. The study uses data of the Federal Research Institute for Health Organization and Informatics (FRIHOI) covering the 2012–2019 time period, as well as data from the register of the Unified Interdepartmental Information and Statistical System (UIISS) and the Federal State Statistics Service (FSSS). Statistical data processing was carried out using Microsoft Excel 2019. Diagrams and a cartogram were built to visualize the obtained data. The reliability of the trend line was determined by the value of approximation. A trend is a tendency of changes in the studied time series. In this work, we used a linear approximation — a straight line that best describes the time course of incidence and prevalence. The significance of linear regression was checked using the F-test to determine the quality of the regression model. The coefficient of determination was also used to indicate the dependence of the variability of prevalence on time. A linear regression model was used to predict the prevalence of glaucoma in the Russian Federation and the Far Eastern Federal District; 91% of the total variability of prevalence in the Russian Federation is explained by a change in the time parameter, while 86% in the Far Eastern Federal District indicates a high accuracy of the selection of trend equations.RESULTS. According to the study, in the 2012–2019 years there was a significant increase in the incidence of glaucoma in the Primorsky Krai (PK) amounting to 8%. Over the observed period, a significant increase in the prevalence of glaucoma is noted in the Republic of Buryatia (6.9%), and in the Magadan Region (5%). At the same time, the highest incidence and prevalence of glaucoma was noted in the Republic of Sakha (Yakutia) — 105.4 cases and 1551.6 cases per 100 000 population. The expected prevalence of glaucoma in the Russian Federation (RF) in 2020 is 895–999.7 per 100 000 population, in 2021 — 908–1020.2; in the Far Eastern Federal District (FEFD) in 2020 — 783.7–961.3 per 100 000 population, in 2021 — 799.5–989.8. The largest proportion of glaucoma was found among the population of the Magadan Region (16%) and Yakutia (13.8%), the smallest in the Amur Region (5%) and the Chukotka Autonomous Okrug (5.7%).CONCLUSION. The dynamics of glaucoma incidence in the Far Eastern Federal District is uneven, which corresponds to the epidemiological situation in the Russian Federation as a whole. But the prevalence and proportion of glaucoma in the structure of diseases of the eye and adnexa in the FEFD are characterized by negative dynamics in comparison with country-wide. At the same time, even within the regions of the FEFD, the incidence and prevalence of glaucoma is mosaic, which predisposes to studying the influence of factors on glaucoma incidence.
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2012 - 2019年远东联邦区青光眼描述性流行病学研究
目的。对2012 - 2019年远东联邦区青光眼进行描述性流行病学研究。该研究使用了联邦卫生组织和信息学研究所(FRIHOI) 2012-2019年期间的数据,以及统一部门间信息和统计系统(UIISS)和联邦国家统计局(FSSS)登记册的数据。统计数据使用Microsoft Excel 2019进行处理。建立了图表和制图来可视化获得的数据。趋势线的可靠性由近似值决定。趋势是所研究的时间序列变化的趋势。在这项工作中,我们使用了线性近似-一条最能描述发病率和患病率的时间过程的直线。采用f检验检验线性回归的显著性,以确定回归模型的质量。决定系数也被用来表示流行变异对时间的依赖。采用线性回归模型预测俄罗斯联邦和远东联邦区青光眼患病率;俄罗斯联邦91%的流行率总变率可以用时间参数的变化来解释,而远东联邦区86%的变率表明趋势方程选择的准确性很高。根据该研究,在2012-2019年间,滨海边疆区(PK)青光眼的发病率显著增加,达到8%。在观察期间,布里亚特共和国(6.9%)和马加丹地区(5%)的青光眼患病率显著增加。同时,青光眼的发病率和流行率最高的是萨哈共和国(雅库特)——每10万人中有105.4例和1551.6例。预计2020年俄罗斯联邦青光眼患病率为每10万人895-999.7例,2021年为908-1020.2例;在远东联邦区(FEFD), 2020年每10万人中有783.7-961.3人,2021年为799.5-989.8人。青光眼患病率最高的是马加丹地区(16%)和雅库特地区(13.8%),最低的是阿穆尔河地区(5%)和楚科奇自治区(5.7%)。远东联邦区青光眼发病率的动态是不平衡的,这与整个俄罗斯联邦的流行病学情况相一致。但与全国相比,FEFD的青光眼患病率和青光眼在眼部和附件疾病结构中的比例呈负动态变化。同时,即使在FEFD区域内,青光眼的发病率和患病率也是马赛克的,这有利于研究青光眼发病率的影响因素。
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