| Literature DB >> 32356245 |
Jothydev Kesavadev1, Seshadhri Srinivasan2, Banshi Saboo3, Meera Krishna B4, Gopika Krishnan4.
Abstract
Diabetes technology (DT) has accomplished tremendous progress in the past decades, aiming to convert these technologies as viable treatment options for the benefit of patients with diabetes (PWD). Despite the advances, PWD face multiple challenges with the efficient management of type 1 diabetes. Most of the promising and innovative technological developments are not accessible to a larger proportion of PWD. The slow pace of development and commercialization, overpricing, and lack of peer support are few such factors leading to inequitable access to the innovations in DT. Highly motivated and tech-savvy members of the diabetes community have therefore come up with the #WeAreNotWaiting movement and started developing their own do-it-yourself artificial pancreas systems (DIYAPS) integrating continuous glucose monitoring (CGM), insulin pumps, and smartphone technology to run openly shared algorithms to achieve appreciable glycemic control and quality of life (QoL). These systems use tailor-made interventions to achieve automated insulin delivery (AID) and are not commercialized or regulated. Online social network megatrends such as GitHub, CGM in the Cloud, and Twitter have been providing platforms to share these open source technologies and user experiences. Observational studies, anecdotal evidence, and real-world patient stories revealed significant improvements in time in range (TIR), time in hypoglycemia (TIHypo), HbA1c levels, and QoL after the initiation of DIYAPS. But this unregulated do-it-yourself (DIY) approach is perceived with great circumspection by healthcare professionals (HCP), regulatory bodies, and device manufacturers, making users the ultimate risk-bearers. The use of the regularized CGM and insulin pump with unauthorized algorithms makes them off-label and has been a matter of great concern. Besides these, lack of safety data, funding or insurance coverage, ethical, and legal issues are roadblocks to the unanimous acceptance of these systems among patients with type 1 diabetes (T1D). A multi-agency approach is necessary to evaluate the risks, and to delineate the incumbency and liability of clinicians, regulatory bodies, and manufacturers associated with the use of DIYAPS. Understanding the potential of DIYAPS as the need of the present time, many regional and international agencies have come with strategies to appraise its safety as well as to support education and training on its use. Here we provide a comprehensive description of the DIYAPS-including their origin, existing literature, advantages, and disadvantages that can help the industry leaders, clinicians, and PWD to make the best use of these systems.Entities:
Keywords: #WeAreNotWaiting; AndroidAPS; Closed loop; Do-it-yourself artificial pancreas; Loop; Nightscout; OpenAPS; People with diabetes; Type 1 diabetes
Year: 2020 PMID: 32356245 PMCID: PMC7261300 DOI: 10.1007/s13300-020-00823-z
Source DB: PubMed Journal: Diabetes Ther ISSN: 1869-6961 Impact factor: 2.945
Compatible devices for the three different configurations of DIYAPS. https://openaps.readthedocs.io/en/latest/docs/Gear%20Up/CGM.html, https://loopkit.github.io/loopdocs/build/step3/, https://androidaps.readthedocs.io/en/latest/EN/Hardware/pumps.html
| Software | User interface | Hardware | CGM/FGM | Pumps |
|---|---|---|---|---|
| OpenAPS | Small computer Pebble watch | Linux microcomputer Rig | Dexcom G6 Dexcom G5 Dexcom G4 Platinum MiniMed Paradigm REAL-Time Revel or Enlite FreeStyle Libre | Medtronic 512/712, 515/715, 522/722, 523/723 (with firmware 2.4A or lower), Veo 554/754 EU release (with firmware 2.6A or lower) |
| Loop | iPhone Apple watch | RileyLink | Dexcom G6 Dexcom G5 Dexcom G4 Share Minimed Enlite CGM | Medtronic (515/715, 522/722, 523/723) (firmware 2.4 or lower), Veo worldwide 554/754 (firmware 2.6A or lower), Veo 554/754 Canada/Australia Release (firmware 2.7A or lower) Omnipod EROS |
| AndroidAPS | Android smartphone (6.0 or above) Smartwatch | None | Dexcom G6 Dexcom G5 Dexcom G4 Libre 2 Libre 1 Eversense MM640g/MM630g PocTech | Dana R Dana RS Roche Accu-Chek Combo Roche Accu-Chek Insight Roche Insight Medtronic (512/712, 515/715, 522/722, 523/723) (firmware 2.4A or lower), Veo 554/754 EU release (firmware 2.6A or lower), Veo 554/754 Canada release (firmware 2.7A or lower) |
Review of glycemic outcomes of DIYAPS as reported from the published studies
| Authors and year of publication | Publication type | Aims | Glycemic outcomes ( | ||
|---|---|---|---|---|---|
| Lewis et al. 2016 | Conference abstract | To analyze the shared and self-reported data and experiences from 18 DIYAPS users | HbA1c | 7.1% (SD 0.8%) vs 6.2% (SD 0.5%) | |
| %TIR (80–180 mg/dL) | 58% (SD 14%) vs 81% (SD 8%) | ||||
| Lewis et al. 2018 | Conference abstract | To conduct a retrospective cross-over analysis with 20 OpenAPS users | BG | 135.7 to 128.3 mg/dL | |
| HbA1c | 6.4% vs 6.1% | ||||
| %TIR | 75.8% vs 82.2% | ||||
| Overnight, BG time < 70 | 6.4% vs 4.2% | ||||
| Overnight time < 50 | 2.3% vs 1.0% | ||||
| BG excursions > 300 | 1.7% vs 0.35% | ||||
| Choi et al. 2018 | Conference abstract | To present the clinical experience of 20 patients (11.9 ± 6.9 years) using OpenAPS | HbA1c | 6.8 ± 1.0% vs 6.3 ± 0.7% | |
| %TIR | 70.1 ± 16.4% vs 83.3 ± 10.1% | ||||
| %TAR | 24.7 ± 16.5% vs 13.3 ± 9.4% | ||||
| %TBR | 5.1 ± 3.3% vs 3.4 ± 2.3% | ||||
| Provenzano et al. 2018 | Conference abstract | To understand if closing the loop with OpenAPS is effective to improve the glucose control in T1D | HbA1c | 7.17 ± 0.49% vs 6.61 ± 0.47% | |
| %TIHypo | 8.55 ± 5.81% vs 2.48 ± 1.16% | ||||
| Wilmot et al. 2019 | Conference abstract | To compare the glycemic outcomes (HbA1c, TIR, and TBR) of 30 people on CSII with either OpenAPS versus FreeStyle Libre (FSL) flash glucose monitor | HbA1c | OpenAPS (7.3 ± 1.4% vs 6.2 ± 0.4%) FSL (7.6 ± 0.8% vs 7.2 ± 0.6%) | |
| %TIR | OpenAPS vs FSL (83.6 ± 7.2% vs 55.9 ± 11.5%) | ||||
| %TBR | OpenAPS vs FSL (2.5 ± 1.8% vs 5.7 ± 4.7%) | ||||
| Braune et al. 2019 | Short paper | To conduct an online survey to assess the self-reported clinical outcomes of a pediatric population (median age 10 years) using DIYAPS in the real world | HbA1c | 6.91% [SD 0.88%) to 6.27% [SD 0.67] | |
| %TIR | 64.2% [SD 15.94] to 80.68% [SD 9.26] | ||||
| Melmer et al. 2019 | Brief report | To analyze CGM records of 80 patients with T1D using DIY closed loop systems and to compare the glycemic outcomes of SAP therapy to OpenAPS in 34 of the users | Glycemic parameters of DIY closed loop system users | ||
| Mean BG | 137 ± 20 mg/dL | ||||
| eA1c | 6.40 ± 0.70% | ||||
| TIR | 77.5 ± 10.5% | ||||
| TBR < 70 mg/dL | 4.3% | ||||
| TBR < 54 mg/dL | 1.3% | ||||
| TAR > 180 mg/dL | 18.2% | ||||
| TAR > 250 mg/dL | 4.1% | ||||
| SAP vs OpenAPS | |||||
| Reduction in BG | − 0.6 ± 0.7 | ||||
| Reduction in eA1c | − 0.4 ± 0.5% | ||||
| Increase in %TIR 3.9–10 mmol/L | + 9.3 ± 9.5% | ||||
| Reduction in TBR < 3.0 mmol/L | − 0.7 ± 2.2% | ||||
| Reduction in CV | − 2.4 ± 5.8 | ||||
| Reduction in mean of daily differences | − 0.6 ± 0.9 mmol/L | ||||
| Koutsovasilis et al. 2019 | Conference abstract | To examine the effect of OpenAPS on the glycemic control of T1D patients | HbA1c | 6.63 ± 1.05 vs 7.70 ± 1.14 | |
| BG | 154.14 ± 26.17 vs 117.74 ± 8.73 | ||||
| Bazdraska et al. 2020 | Conference abstract | To evaluate the benefits in children/adolescents using DIY unapproved loops vs SAP therapy | DIY loop vs SAP therapy | ||
| TIR | 83% vs 68.8% | ||||
| TIHypo > 14 mmol/L | 2.1% vs 8.6% | ||||
Glycemic outcomes are either reported as changes from baseline or comparison to another intervention
BG blood glucose, CSII continuous subcutaneous insulin infusion, CV coefficient of variation, DIY do it yourself, eA1c estimated HbA1c, SAP sensor‐augmented pump, TAR time above range, TBR time below range, TIHypo time in hypoglycemia, TIR time in range
| Innovations in diabetes technologies are slow-paced, unaffordable, and unevenly distributed. |
| Frustrated diabetes community initiated #WeAreNotWaiting movement and started developing do-it-yourself artificial pancreas systems (DIYAPS). |
| Comprehensive review of the current literature, advantages, and disadvantages of the DIYAPS is much needed. |
| History and evolution of DIYAPS, up-to-date literature, potential benefits, and concerns about the system are presented in the review. |
| Patient experiences showed that DIYAPS resulted in significant improvements in QoL and TIR not achievable with the other approved devices. Yet, there are apprehensions about its safety and accountability. |
| This review will enable physicians to make an independent decision on the use of DIYAPS. |