法国1型和2型糖尿病的全国趋势 (2010-2019):使用机器学习分类算法的基于人口的研究
Guy Fagherazzi1, Pierre Serusclat2, Barbara Roux3
1Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1A-B, Rue Thomas Edison, 1445, Strassen, Luxembourg.
概括
在2010年至2019年期间,法国的2型糖尿病患病率上升,而1型糖尿病患病率保持稳定. 这项研究强调专业护理的不足以及需要改善糖尿病管理的监测策略.
科学领域:
- 公共卫生
- 流行病学
- 医疗服务研究
背景情况:
- 糖尿病在法国是一个日益严重的公共卫生问题,国家对1型和2型糖尿病和胰岛素使用的数据有限.
- 这项研究解决了对法国糖尿病的全面流行病学数据的需求.
研究的目的:
- 描述2010年至2019年法国1型或2型糖尿病成年人的流行病学,护理途径和健康结果的趋势.
- 分析用或不用胰岛素治疗的个体的趋势,使用预测分类算法来准确区分类型.
主要方法:
- 一项基于人口的十年回顾性队列研究,采用法国国家医疗保健数据库 (Système National des données de Santé) 的十分之一样本.
- 包括加入普通保险计划的成年人 (≥18岁).
- 应用机器学习算法来对糖尿病类型进行分类,并评估每年流行,发病率,并发症,治疗,护理,并发症和死亡率的趋势.
主要成果:
- 在2019年,3.5%患有1型糖尿病,96.5%患有2型糖尿病,而2型糖尿病的患病率从6.2%增加到8.0% (2010-2019).
- 在接受胰岛素治疗的2型糖尿病患者中观察到高且不断增加的并发症率.
- 2019年15.3%接受胰岛素治疗的2型糖尿病患者因并发症住院;专家咨询的使用率不足,特别是在2型糖尿病方面.
- 1型糖尿病的死亡率下降 (2.6%至1.5%),死亡平均年龄增加.
结论:
- 这项研究为法国糖尿病流行病学和结果提供了最新的国家见解.
- 需要加强获得专门糖尿病护理的机会,并加强长期监测策略.
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