Nurmohamed N S, Collard D, Balder J W, Kuivenhoven J A, Stroes E S G, Reeskamp L F
Department of Vascular Medicine, Amsterdam University Medical Centers, location AMC, University of Amsterdam, Amsterdam, The Netherlands.
Department of Cardiology, Amsterdam University Medical Centers, location VUMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Neth Heart J. 2021 Sep;29(9):441-450. doi: 10.1007/s12471-021-01562-x. Epub 2021 Apr 12.
In the Netherlands, the total number of yearly measured lipid profiles exceeds 500,000. While lipid values are strongly affected by age and sex, until recently, no up-to-date age- and sex-specific lipid reference values were available. We describe the translation of big-cohort lipid data into accessible reference values, which can be easily incorporated in daily clinical practice.
Lipid values (total cholesterol, LDL cholesterol, HDL cholesterol and triglycerides) from all healthy adults and children in the LifeLines cohort were used to generate age- and sex-specific percentiles. A combination of RStudio, Cascading Style Sheets and HyperText Markup Language was used to interactively display the percentiles in a responsive web layout.
After exclusion of subjects reporting cardiovascular disease or lipid-lowering therapy at baseline, 141,611 subjects were included. On the website, input fields were created for age, sex and all main plasma lipids. Upon input of these values, corresponding percentiles are calculated, and output is displayed in a table and an interactive graph for each lipid. The website has been made available in both Dutch and English and can be accessed at www.lipidtools.com .
We constructed the first searchable, national lipid reference value tool with graphical display in the Netherlands to use in screening for dyslipidaemias and to reduce the underuse of lipid-lowering therapy in Dutch primary prevention. This study illustrates that data collected in big-cohort studies can be made easily accessible with modern digital techniques and preludes the digital health revolution yet to come.
在荷兰，每年测量的血脂谱总数超过50万。虽然血脂值受年龄和性别的影响很大，但直到最近，还没有最新的针对年龄和性别的血脂参考值。我们描述了如何将大规模队列血脂数据转化为易于获取的参考值，这些参考值可轻松应用于日常临床实践。
使用生命线队列中所有健康成人和儿童的血脂值（总胆固醇、低密度脂蛋白胆固醇、高密度脂蛋白胆固醇和甘油三酯）来生成特定年龄和性别的百分位数。结合使用RStudio、层叠样式表和超文本标记语言，以响应式网页布局交互式显示百分位数。
在排除基线时报告患有心血管疾病或正在接受降脂治疗的受试者后，纳入了141,611名受试者。在网站上，为年龄、性别和所有主要血脂指标创建了输入字段。输入这些值后，会计算相应的百分位数，并以表格和每个血脂指标的交互式图表形式显示输出结果。该网站提供荷兰语和英语版本，可通过www.lipidtools.com访问。
我们构建了荷兰首个可搜索的、带有图形显示的国家血脂参考值工具，用于血脂异常筛查，并减少荷兰一级预防中降脂治疗的使用不足情况。这项研究表明，通过现代数字技术可以轻松获取大规模队列研究中收集的数据，并为即将到来的数字健康革命拉开了序幕。
