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首页> 外文期刊>Endocrinology, Diabetes & Metabolism >Modelling the relationship between continuously measured glucose and electrocardiographic data in adults with type 1 diabetes mellitus
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Modelling the relationship between continuously measured glucose and electrocardiographic data in adults with type 1 diabetes mellitus

机译：用1型糖尿病成人连续测量葡萄糖和心电图数据的关系建模

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Introduction Type 1 diabetes mellitus (T1DM) is associated with earlier onset of cardiovascular disease. Recent evidence has found hyperglycaemia appears to play a greater role in this association among T1DM compared to T2DM. This study investigates the relationship between glucose and QTc (a key cardiovascular measure) using data from continuous electrocardiogram (ECG) and glucose monitors. Methods Seventeen adults with T1DM were recruited at a clinical facility in Ireland. A continuous glucose monitoring system was fitted to each participant that measured glucose every 5?min for 7?days. The participants simultaneously wore a vest with sensors to measure 12-lead ECG data every 10?min for 7?days. Area under the glucose curve (AUC), proportion of time spent in hypoglycaemia and hyperglycaemia, and mean daily absolute deviation of glucose were calculated. Mixed effects ANOVA and functional regression models were fitted to the data to investigate the aggregate and time-dependent association between glucose and QTc. Results All participants were male with an average age of 52.5 (SD 3.8) years. Those with neuropathy had a significantly higher mean QTc compared to their counterparts. Mean QTc was significantly longer during hyperglycaemia. There was a significant positive association between QTc and time spent in hyperglycaemia. A negative association was found between QTc and time spent in hypoglycaemia. A functional model suggested a positive relationship between glucose and QTc at several times during the 7-day follow-up. Conclusion This study used sensor technology to investigate, with high granularity, the temporal relationship between glucose and ECG data over one week. QTc was found to be longer on average during hyperglycaemia.
机译：介绍1型糖尿病（T1DM）与早期的心血管疾病发病有关。最近的证据发现高血糖症似乎在T1DM之间在这个关联中发挥更大的作用与T2DM相比。本研究研究了使用来自连续心电图（ECG）和葡萄糖监测器的数据的葡萄糖和QTC（键心血管测量）之间的关系。方法在爱尔兰的临床设施中招募了17名成年人。将连续葡萄糖监测系统安装在每次参与者中，每5次测量葡萄糖7？天。参与者同时穿着带有传感器的背心，每10次测量12引导ECG数据7？天。葡萄糖曲线（AUC）下的面积，计算低血糖和高血糖中花费的时间比例，并计算出葡萄糖的平均绝对偏差。混合效果ANOVA和功能回归模型适用于数据以研究葡萄糖和QTC之间的聚集和时间依赖关系。结果所有参与者都是男性，平均年龄为52.5（SD 3.8）年。与对应物相比，患有神经病变的QTC具有显着更高的平均值。平均QTC在高血糖症期间显着更长。在高血糖血症的QTC和时间之间存在显着的积极关系。在低血糖中花费的QTC和时间之间发现了阴性关联。功能模型在7天随访期间，葡萄糖和QTC之间的正关系。结论本研究采用传感器技术进行了高粒度，葡萄糖与心电图数据之间的时间关系一周。在高血糖期间发现QTC平均平均值。

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