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spent in the hypoglycaemic range between

the two study conditions (P = 0.28).

Continued use of the closed-loop system

was offered to participants at the end of

the randomised trial, with 14 participants

(~90%) choosing this option. The median

time in the continuation phase was ~11.6

weeks, and mean glucose achieved during

this period was 126 mg/dL (6.99 mmol/L),

with 68.7% of time in target. This continu-

ation phase encompassed use of the system

both during labour and after delivery. Time

in target was 86.8% in the 24 hours prior

to delivery and 73.7% in the 48 hours post-

delivery. The system adeptly adjusted insulin

delivery, reducing it 53% from pre-delivery

doses in the post-delivery period.

As maternal hyperglycaemia impacts fetal

growth, the achievement of more targeted

control through closed-loop use has the

potential to minimise excessive weight

gain. The vast majority of infants in the

present study were categorised as large for

gestational age. With no change in rates of

hypoglycaemia and no episodes of severe

hypoglycaemia in either study condition, it

may be feasible to make the algorithm more

aggressive in future studies.

Stewart and colleagues have demon-

strated that, in pregnancy, when insulin

requirements frequently change and there is

substantial day-to-day glycaemic variability,

the closed-loop system can help expectant

mothers achieve more targeted glycaemic

control. Importantly, this was achieved

without any changes in the programming

to the system. With the clear-cut benefits

of closed-loop therapy in this population,

the next steps should be application of such

technologies prior to conception with use

extending for the duration of the pregnancy

to further determine how it can impact both

maternal and neonatal outcomes.

References

1. Ruan Y, Elleri D, Allen JM, et al.

Diabetologia

2015;58:687-690.

2. Dauber A, Corcia L, Safer J, et al.

Diabetes Care

2013;36:222-227.

3. Murphy HR, Elleri D, Allen JM, et al.

Diabetes Care

2011;34:406-411.

4. Murphy HR, Kumareswaran K, Elleri D, et al.

Dia-

betes Care

2011;34:2527-2529.

5. Stewart ZA, Wilinska ME, Hartnell S, et al.

N Engl

J Med

2016;375:644-654.

Dr Sherr is Instructor, Pediatrics

(Endocrinology), Yale University School

of Medicine, New Haven, Connecticut.

Her research has focused on artificial

pancreas technologies and the use

of adjunctive therapy to mitigate

postprandial hyperglycaemia.

In pregnancy, when insulin requirements frequently change and there is

substantial day-to-day glycaemic variability, the closed-loop system can help

expectant mothers achieve more targeted glycaemic control. Importantly, this

was achieved without any changes in the programming to the system.

E

xtending on their previous work, the

study “Closed-loop insulin delivery

during pregnancy in women with type

1 diabetes” by Stewart and colleagues was

an open-label, randomised crossover assess-

ment examining overnight glucose control

following 4 weeks of closed-loop therapy

compared with 4 weeks of sensor-augmented

pump therapy (SAP).

5

The system used was

the Florence D2W closed-loop system. The

system is comprised of a FreeStyle Naviga-

tor II that was linked via a cable to a Dell

Latitude 10 tablet, which housed the model

predictive control algorithm that commu-

nicated via Bluetooth with the DANA

Diabecare R insulin pump to deliver insulin

based on algorithm calculations every 12

minutes. The treat-to-target algorithm was

set with glucose targets between 97 and

124 mg/dL (5.38 and 6.88 mmol/L). The

system was initialised using preprogramed

basal rates, total daily insulin doses, and the

participants’ weights.

In all, 16 women completed all study-

related procedures (mean age, 34 ± 4 years;

A1c, 6.8 ± 0.6%; duration of diabetes, 23.6

± 7 years; week of gestation at randomisa-

tion, 14 ± 3.3 weeks). The primary outcome

was the percentage of time that overnight

glucose levels were within the target range

(63–140 mg/dL [3.50–7.77 mmol/L]). Use

of closed-loop insulin delivery increased

the time in target by 15% (closed-loop

74.7% vs SAP 59.5%; P = 0.002). Average

glucose was lower with closed-loop control

both overnight and over a 24-hour period

(overnight, P = 0.009; 24-hour period, P <

0.001). There was no difference in the time

Improved glycaemic control

with closed-loop insulin in

pregnant diabetic women

By Jennifer Sherr,

MD, PhD

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Just as closed-loop insulin delivery studies have

progressed from being performed solely in supervised,

inpatient research centres to home environments with

no remote monitoring, the population being studied

has expanded. Recently, these systems have been

assessed in those with type 1 diabetes deemed as

vulnerable populations – including young children

1,2

and pregnant women.

3,4

Upcoming

Endocrinology

conferences 2016

OCTOBER

13–15 October | Seoul, South Korea

International Conference on Diabetes and

Metabolism 2016

icdm2016.diabetes.or.kr

19–22 October | Milan, Italy

17th Congress of the European

Neuroendocrine Association 2016

enea2016.com

31 October–4 November | New Orleans, USA

The Obesity Society: Annual Scientific Meeting

www.obesity.org/meetings/obesity-week

NOVEMBER

7–9 November | Brighton, UK

Society for Endocrinology BES 2016

www.endocrinology.org/

meetings/2016/sfebes2016

11–12 November | Vienna, Austria

Prevention Models of Obesity and

Cardiovascular Diseases International

Symposium 2016

www.poc-vienna-2016.eu

DECEMBER

1–3 December | Universal City, California, USA

14th Annual World Congress on Insulin

Resistance, Diabetes, and Cardiovascular

Disease 2016

wcir.org

2–4 December | Atlanta, USA

9th World Congress on Prevention of Diabetes

and its Complications 2016

www.wcpd9.com/home.php

FEATURE ARTICLE

VOL. 1 • No. 3 • 2016

15