Department of Medicine, University of Maryland Medical Center Midtown Campus, Baltimore, Maryland, USA
Department of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, Maryland, USA.
BMJ Case Rep. 2021 Sep 17;14(9):e243522. doi: 10.1136/bcr-2021-243522.
A 40-year-old woman used an open-source automated insulin delivery system to manage her type 1 diabetes (T1D) prior to conception. The code for building the iPhone application called 'Loop' that carried the software for the hybrid closed-loop controller was available online. Her glycated hemoglobin before conception was 6.4%. Between 6 and 12 weeks gestation, she spent 66% time-in-range (TIR), 28% time-above-range (TAR) and 6% time-below-range (TBR). Between 18 and 24 weeks gestation, she spent 68% TIR, 27% TAR and 5% TBR. During her third trimester, she spent 72% TIR, 21% TAR and 7% TBR. She delivered a healthy infant with no neonatal complications. Clinicians should be aware of this technology as it gains traction in the T1D community and seeks Food and Drug Administration approval.
一位 40 岁的女性在怀孕前使用开源自动化胰岛素输送系统来管理她的 1 型糖尿病（T1D）。名为“Loop”的 iPhone 应用程序的构建代码，该程序带有混合闭环控制器的软件，可在网上获得。她怀孕前的糖化血红蛋白为 6.4%。在 6 至 12 周妊娠期间，她有 66%的时间处于目标范围内（TIR），28%的时间高于目标范围（TAR），6%的时间低于目标范围（TBR）。在 18 至 24 周妊娠期间，她有 68%的时间处于目标范围内（TIR），27%的时间高于目标范围（TAR），5%的时间低于目标范围（TBR）。在她的第三个三个月期间，她有 72%的时间处于目标范围内（TIR），21%的时间高于目标范围（TAR），7%的时间低于目标范围（TBR）。她生下了一个健康的婴儿，没有新生儿并发症。随着该技术在 1 型糖尿病患者中获得关注并寻求食品和药物管理局（FDA）的批准，临床医生应该了解这种技术。
