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AID(„automated insulin delivery“)-Systeme in der Diabetologie
Insulin pumps and glucose sensors have been shown in registry data to be effective in improving diabetes therapy and reducing acute complications. Therefore, in pediatric diabetology, the use of at least one technical device is standard. The combination of both devices leads to the possibility of au...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Medizin
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8191719/ http://dx.doi.org/10.1007/s11428-021-00777-1 |
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author | Biester, Torben Dovc, Klemen Chobot, Agata Tauschmann, Martin Kapellen, Thomas |
author_facet | Biester, Torben Dovc, Klemen Chobot, Agata Tauschmann, Martin Kapellen, Thomas |
author_sort | Biester, Torben |
collection | PubMed |
description | Insulin pumps and glucose sensors have been shown in registry data to be effective in improving diabetes therapy and reducing acute complications. Therefore, in pediatric diabetology, the use of at least one technical device is standard. The combination of both devices leads to the possibility of automated insulin delivery (AID) systems. Many AID systems have been tested in clinical trials and have proven safety and effectiveness. The supply situation in Germany currently only allows one system to be prescribed for people insured by public health insurance. Children younger than 7 years of age cannot currently be treated with this system. The reasons for this are legal hurdles and lack of certification by the manufacturers. CE certification can also lead to problems with insulin prescriptions. Open-source systems are nonregulated variants to circumvent existing regulatory conditions. There are risks here for both users and prescribers. For continued use, thorough knowledge of the features of each AID system is necessary on both the user and practitioner side. Complete automation does not work. For the evaluation of the AID therapy, the metric data of the glucose sensors, the “time in range” and the “glucose management index” are the recognized and suitable parameters because they allow consultation based on the real data from the daily life of people with diabetes. Since all glucose sensors are read out via cloud-based software or obtain the data directly automatically, this provides the ideal technical basis for telemedical care, which needs further development. |
format | Online Article Text |
id | pubmed-8191719 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Medizin |
record_format | MEDLINE/PubMed |
spelling | pubmed-81917192021-06-11 AID(„automated insulin delivery“)-Systeme in der Diabetologie Biester, Torben Dovc, Klemen Chobot, Agata Tauschmann, Martin Kapellen, Thomas Diabetologe Leitthema Insulin pumps and glucose sensors have been shown in registry data to be effective in improving diabetes therapy and reducing acute complications. Therefore, in pediatric diabetology, the use of at least one technical device is standard. The combination of both devices leads to the possibility of automated insulin delivery (AID) systems. Many AID systems have been tested in clinical trials and have proven safety and effectiveness. The supply situation in Germany currently only allows one system to be prescribed for people insured by public health insurance. Children younger than 7 years of age cannot currently be treated with this system. The reasons for this are legal hurdles and lack of certification by the manufacturers. CE certification can also lead to problems with insulin prescriptions. Open-source systems are nonregulated variants to circumvent existing regulatory conditions. There are risks here for both users and prescribers. For continued use, thorough knowledge of the features of each AID system is necessary on both the user and practitioner side. Complete automation does not work. For the evaluation of the AID therapy, the metric data of the glucose sensors, the “time in range” and the “glucose management index” are the recognized and suitable parameters because they allow consultation based on the real data from the daily life of people with diabetes. Since all glucose sensors are read out via cloud-based software or obtain the data directly automatically, this provides the ideal technical basis for telemedical care, which needs further development. Springer Medizin 2021-06-10 2021 /pmc/articles/PMC8191719/ http://dx.doi.org/10.1007/s11428-021-00777-1 Text en © Springer Medizin Verlag GmbH, ein Teil von Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Leitthema Biester, Torben Dovc, Klemen Chobot, Agata Tauschmann, Martin Kapellen, Thomas AID(„automated insulin delivery“)-Systeme in der Diabetologie |
title | AID(„automated insulin delivery“)-Systeme in der Diabetologie |
title_full | AID(„automated insulin delivery“)-Systeme in der Diabetologie |
title_fullStr | AID(„automated insulin delivery“)-Systeme in der Diabetologie |
title_full_unstemmed | AID(„automated insulin delivery“)-Systeme in der Diabetologie |
title_short | AID(„automated insulin delivery“)-Systeme in der Diabetologie |
title_sort | aid(„automated insulin delivery“)-systeme in der diabetologie |
topic | Leitthema |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8191719/ http://dx.doi.org/10.1007/s11428-021-00777-1 |
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