Division of Rural Health and Wellbeing, Institute of Health Research and Innovation, University of the Highlands and Islands, Centre for Health Science, Inverness, UK.
Department of Biochemistry, Blood Sciences, Raigmore Hospital, Inverness, UK.
Diabet Med. 2020 Sep;37(9):1463-1470. doi: 10.1111/dme.14110. Epub 2019 Oct 17.
To assess the clinical performance and patient acceptance of HemaSpot™ blood collection devices as an alternative blood collection method.
Adult men and women with any type of diabetes, routinely carrying out self-monitoring of blood glucose were recruited (n = 128). Participants provided a venous blood sample and prepared two HemaSpot dried blood spots, one at clinics and one at home. HbA analysis was by Tosoh G8 high-performance liquid chromatography. Participants also completed a questionnaire.
Strong linear relationships been HbA levels in dried blood spots and venous blood were observed and a linear model was fitted to the data. Time between dried blood spot preparation and testing did not impact the model. Participants were accepting of the approach: 69.2% would use this system if available and 60.7% would be more likely to use this system than going to their general practitioner.
The combination of a robust desiccating dried blood spot device, home sample preparation and return by post produces HbA data that support the use of a time-independent linear calibration of dried blood spot to venous blood HbA . A robust remote sample collection service would be valuable to people living with diabetes in urban areas who are working or house-bound as well as those living in remote or rural locations.
评估 HemaSpot™ 采血器作为替代采血方法的临床性能和患者接受程度。
招募了患有任何类型糖尿病、常规进行自我血糖监测的成年男性和女性(n=128)。参与者提供了静脉血样本,并准备了两个 HemaSpot 干血斑,一个在诊所,一个在家里。HbA 分析采用 Tosoh G8 高效液相色谱法。参与者还完成了一份问卷。
在干血斑和静脉血之间观察到 HbA 水平之间存在强烈的线性关系,并拟合了线性模型。干血斑制备和检测之间的时间不影响模型。参与者对该方法的接受程度较高:如果可用,69.2%的参与者会使用该系统,60.7%的参与者会更愿意使用该系统而不是去看他们的全科医生。
结合强大的干燥血斑设备、家庭样本制备和邮寄回样,产生的 HbA 数据支持使用时间独立的线性校准来将干血斑 HbA 与静脉血 HbA 进行校准。对于居住在城市地区、工作或居家的糖尿病患者,以及居住在偏远或农村地区的患者,建立一个强大的远程样本采集服务将是有价值的。