El-Khatib Firas H, Balliro Courtney, Hillard Mallory A, Magyar Kendra L, Ekhlaspour Laya, Sinha Manasi, Mondesir Debbie, Esmaeili Aryan, Hartigan Celia, Thompson Michael J, Malkani Samir, Lock J Paul, Harlan David M, Clinton Paula, Frank Eliana, Wilson Darrell M, DeSalvo Daniel, Norlander Lisa, Ly Trang, Buckingham Bruce A, Diner Jamie, Dezube Milana, Young Laura A, Goley April, Kirkman M Sue, Buse John B, Zheng Hui, Selagamsetty Rajendranath R, Damiano Edward R, Russell Steven J
Department of Biomedical Engineering, Boston University, Boston, MA, USA.
Diabetes Unit and Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.
Lancet. 2017 Jan 28;389(10067):369-380. doi: 10.1016/S0140-6736(16)32567-3. Epub 2016 Dec 20.
The safety and effectiveness of a continuous, day-and-night automated glycaemic control system using insulin and glucagon has not been shown in a free-living, home-use setting. We aimed to assess whether bihormonal bionic pancreas initialised only with body mass can safely reduce mean glycaemia and hypoglycaemia in adults with type 1 diabetes who were living at home and participating in their normal daily routines without restrictions on diet or physical activity.
We did a random-order crossover study in volunteers at least 18 years old who had type 1 diabetes and lived within a 30 min drive of four sites in the USA. Participants were randomly assigned (1:1) in blocks of two using sequentially numbered sealed envelopes to glycaemic regulation with a bihormonal bionic pancreas or usual care (conventional or sensor-augmented insulin pump therapy) first, followed by the opposite intervention. Both study periods were 11 days in length, during which time participants continued all normal activities, including athletics and driving. The bionic pancreas was initialised with only the participant's body mass. Autonomously adaptive dosing algorithms used data from a continuous glucose monitor to control subcutaneous delivery of insulin and glucagon. The coprimary outcomes were the mean glucose concentration and time with continuous glucose monitoring (CGM) glucose concentration less than 3·3 mmol/L, analysed over days 2-11 in participants who completed both periods of the study. This trial is registered with ClinicalTrials.gov, number NCT02092220.
We randomly assigned 43 participants between May 6, 2014, and July 3, 2015, 39 of whom completed the study: 20 who were assigned to bionic pancreas first and 19 who were assigned to the comparator first. The mean CGM glucose concentration was 7·8 mmol/L (SD 0·6) in the bionic pancreas period versus 9·0 mmol/L (1·6) in the comparator period (difference 1·1 mmol/L, 95% CI 0·7-1·6; p<0·0001), and the mean time with CGM glucose concentration less than 3·3 mmol/L was 0·6% (0·6) in the bionic pancreas period versus 1·9% (1·7) in the comparator period (difference 1·3%, 95% CI 0·8-1·8; p<0·0001). The mean nausea score on the Visual Analogue Scale (score 0-10) was greater during the bionic pancreas period (0·52 [SD 0·83]) than in the comparator period (0·05 [0·17]; difference 0·47, 95% CI 0·21-0·73; p=0·0024). Body mass and laboratory parameters did not differ between periods. There were no serious or unexpected adverse events in the bionic pancreas period of the study.
Relative to conventional and sensor-augmented insulin pump therapy, the bihormonal bionic pancreas, initialised only with participant weight, was able to achieve superior glycaemic regulation without the need for carbohydrate counting. Larger and longer studies are needed to establish the long-term benefits and risks of automated glycaemic management with a bihormonal bionic pancreas.
National Institute of Diabetes and Digestive and Kidney Diseases of the National Institutes of Health, and National Center for Advancing Translational Sciences.
在自由生活的家庭使用环境中,使用胰岛素和胰高血糖素的持续昼夜自动血糖控制系统的安全性和有效性尚未得到证实。我们旨在评估仅根据体重初始化的双激素仿生胰腺能否安全降低1型糖尿病成年居家患者的平均血糖水平和低血糖发生率,这些患者可正常参与日常生活,饮食和体育活动不受限制。
我们在美国四个地点30分钟车程范围内,对至少18岁的1型糖尿病志愿者进行了一项随机顺序交叉研究。参与者使用连续编号的密封信封,按两人一组随机分配(1:1),先接受双激素仿生胰腺血糖调节或常规护理(传统或传感器增强胰岛素泵治疗),然后接受相反的干预。两个研究期均为11天,在此期间参与者继续所有正常活动,包括体育运动和驾驶。仿生胰腺仅根据参与者的体重进行初始化。自主自适应给药算法使用连续血糖监测仪的数据来控制胰岛素和胰高血糖素的皮下给药。共同主要结局是平均血糖浓度和连续血糖监测(CGM)血糖浓度低于3.3 mmol/L的时间,在完成两个研究期的参与者中,对第2 - 11天的数据进行分析。该试验已在ClinicalTrials.gov注册,编号为NCT02092220。
在2014年5月6日至2015年7月3日期间,我们随机分配了43名参与者,其中39人完成了研究:20人先被分配到仿生胰腺组,19人先被分配到对照组。在仿生胰腺治疗期,平均CGM血糖浓度为7.8 mmol/L(标准差0.6),而在对照组治疗期为9.0 mmol/L(1.6)(差值1.1 mmol/L,95%置信区间0.7 - 1.6;p<0.0001),CGM血糖浓度低于3.3 mmol/L的平均时间在仿生胰腺治疗期为0.6%(0.6),而在对照组治疗期为1.9%(1.7)(差值1.3%,95%置信区间0.8 - 1.8;p<0.0001)。视觉模拟量表(评分0 - 10)上的平均恶心评分在仿生胰腺治疗期(0.52 [标准差0.83])高于对照组治疗期(0.05 [0.17];差值0.47,95%置信区间0.21 - 0.73;p = 0.0024)。两个时期之间的体重和实验室参数没有差异。在研究的仿生胰腺治疗期没有严重或意外的不良事件。
相对于传统和传感器增强胰岛素泵治疗,仅根据参与者体重初始化的双激素仿生胰腺能够在无需计算碳水化合物的情况下实现更好的血糖调节。需要进行更大规模和更长时间的研究来确定双激素仿生胰腺自动血糖管理的长期益处和风险。
美国国立卫生研究院国家糖尿病、消化和肾脏疾病研究所以及国家推进转化科学中心。