Sánchez-Peña Ricardo, Colmegna Patricio, Garelli Fabricio, De Battista Hernán, García-Violini Demián, Moscoso-Vásquez Marcela, Rosales Nicolás, Fushimi Emilia, Campos-Náñez Enrique, Breton Marc, Beruto Valeria, Scibona Paula, Rodriguez Cintia, Giunta Javier, Simonovich Ventura, Belloso Waldo H, Cherñavvsky Daniel, Grosembacher Luis
1 Instituto Tecnológico de Buenos Aires, Buenos Aires, Argentina.
2 National Scientific and Technical Research Council, Buenos Aires, Argentina.
J Diabetes Sci Technol. 2018 Sep;12(5):914-925. doi: 10.1177/1932296818786488. Epub 2018 Jul 12.
Emerging therapies such as closed-loop (CL) glucose control, also known as artificial pancreas (AP) systems, have shown significant improvement in type 1 diabetes mellitus (T1DM) management. However, demanding patient intervention is still required, particularly at meal times. To reduce treatment burden, the automatic regulation of glucose (ARG) algorithm mitigates postprandial glucose excursions without feedforward insulin boluses. This work assesses feasibility of this new strategy in a clinical trial.
A 36-hour pilot study was performed on five T1DM subjects to validate the ARG algorithm. Subjects wore a subcutaneous continuous glucose monitor (CGM) and an insulin pump. Insulin delivery was solely commanded by the ARG algorithm, without premeal insulin boluses. This was the first clinical trial in Latin America to validate an AP controller.
For the total 36-hour period, results were as follows: average time of CGM readings in range 70-250 mg/dl: 88.6%, in range 70-180 mg/dl: 74.7%, <70 mg/dl: 5.8%, and <50 mg/dl: 0.8%. Results improved analyzing the final 15-hour period of this trial. In that case, the time spent in range was 70-250 mg/dl: 94.7%, in range 70-180 mg/dl: 82.6%, <70 mg/dl: 4.1%, and <50 mg/dl: 0.2%. During the last night the time spent in range was 70-250 mg/dl: 95%, in range 70-180 mg/dl: 87.7%, <70 mg/dl: 5.0%, and <50 mg/dl: 0.0%. No severe hypoglycemia occurred. No serious adverse events were reported.
The ARG algorithm was successfully validated in a pilot clinical trial, encouraging further tests with a larger number of patients and in outpatient settings.
诸如闭环(CL)血糖控制(也称为人工胰腺(AP)系统)等新兴疗法已显示出在1型糖尿病(T1DM)管理方面有显著改善。然而,仍然需要患者进行严格的干预,尤其是在进餐时间。为了减轻治疗负担,葡萄糖自动调节(ARG)算法可减轻餐后血糖波动,且无需前馈胰岛素推注。这项工作在一项临床试验中评估了这种新策略的可行性。
对5名T1DM受试者进行了一项36小时的初步研究,以验证ARG算法。受试者佩戴皮下连续血糖监测仪(CGM)和胰岛素泵。胰岛素输注完全由ARG算法控制,无需餐前胰岛素推注。这是拉丁美洲首次验证AP控制器的临床试验。
在整个36小时期间,结果如下:CGM读数在70 - 250 mg/dl范围内的平均时间为88.6%,在70 - 180 mg/dl范围内的平均时间为74.7%,<70 mg/dl的平均时间为5.8%,<50 mg/dl的平均时间为0.8%。分析该试验的最后15小时期间,结果有所改善。在这种情况下,处于70 - 250 mg/dl范围内的时间为94.7%,在70 - 180 mg/dl范围内的时间为82.6%,<70 mg/dl的时间为4.1%,<50 mg/dl的时间为0.2%。在最后一晚,处于70 - 250 mg/dl范围内的时间为95%,在70 - 180 mg/dl范围内的时间为87.7%,<70 mg/dl的时间为5.0%,<50 mg/dl的时间为0.0%。未发生严重低血糖。未报告严重不良事件。
ARG算法在一项初步临床试验中成功得到验证,这鼓励在更多患者和门诊环境中进行进一步测试。