Your browser doesn't support javascript.
loading
Concordance of Blood Glucose and CGM During a Pilot Trial of Automated Insulin Delivery in Type 1 Diabetes Pregnancies.
Kaur, Ravinder Jeet; Levy, Carol J; Castorino, Kristin; Wood-Wentz, Christina M; Rizvi, Shafaq R; Ozaslan, Basak; O'Malley, Grenye; Trinidad, Mari Charisse; Levister, Camilla; Church, Mei Mei; Desjardins, Donna; Ogyaadu, Selassie; Reid, Corey; Bailey, Kent R; Doyle, Francis J; Pinsker, Jordan E; Dassau, Eyal; Kudva, Yogish C.
Afiliación
  • Kaur RJ; Mayo Clinic, Rochester, MN 55902, USA.
  • Levy CJ; Department of Endocrine, Diabetes and Bone Diseases, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
  • Castorino K; Sansum Diabetes Research Institute, Santa Barbara, CA 93105, USA.
  • Wood-Wentz CM; Mayo Clinic, Rochester, MN 55902, USA.
  • Rizvi SR; Mayo Clinic, Rochester, MN 55902, USA.
  • Ozaslan B; Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02134, USA.
  • O'Malley G; Department of Endocrine, Diabetes and Bone Diseases, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
  • Trinidad MC; Mayo Clinic, Rochester, MN 55902, USA.
  • Levister C; Department of Endocrine, Diabetes and Bone Diseases, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
  • Church MM; Sansum Diabetes Research Institute, Santa Barbara, CA 93105, USA.
  • Desjardins D; Mayo Clinic, Rochester, MN 55902, USA.
  • Ogyaadu S; Department of Endocrine, Diabetes and Bone Diseases, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
  • Reid C; Mayo Clinic, Rochester, MN 55902, USA.
  • Bailey KR; Mayo Clinic, Rochester, MN 55902, USA.
  • Doyle FJ; Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02134, USA.
  • Pinsker JE; Sansum Diabetes Research Institute, Santa Barbara, CA 93105, USA.
  • Dassau E; Sansum Diabetes Research Institute, Santa Barbara, CA 93105, USA.
  • Kudva YC; Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02134, USA.
J Endocr Soc ; 8(6): bvae071, 2024 Apr 06.
Article en En | MEDLINE | ID: mdl-38721109
ABSTRACT

Background:

Customized and standard automated insulin delivery (AID) systems for use in pregnancies of women with preexisting type 1 diabetes (T1D) are being developed and tested to achieve pregnancy appropriate continuous glucose monitoring (CGM) targets. Guidance on the use of CGM for treatment decisions during pregnancy in the United States is limited.

Methods:

Ten pregnant women with preexisting T1D participated in a trial evaluating at-home use of a pregnancy-specific AID system. Seven-point self-monitoring of blood glucose (SMBG) was compared to the closest sensor glucose (Dexcom G6 CGM) value biweekly to assess safety and reliability based on the 20%/20 mg/dL criteria.

Results:

All participants completed the study with 7 participants satisfying the safety and reliability criteria with a mean absolute relative difference of 10.3%. Three participants did not fulfill the criteria, mainly because the frequency of SMBG did not meet the requirements.

Conclusion:

Dexcom G6 CGM is safe and accurate in the real-world setting for use in pregnant women with preexisting T1D with reduced SMBG testing as part of a pregnancy-specific AID system.
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Endocr Soc Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Endocr Soc Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos