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| http://dx.doi.org/10.14740/jocmr5090 | DOI Listing |
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Sensor-derived glycaemic metrics in pregnant women with type 1 diabetes randomised to faster acting insulin aspart or insulin aspart-A secondary analysis of the CopenFast trial.
Diabet Med
January 2025
Center for Pregnant Women with Diabetes, Rigshospitalet, Copenhagen, Denmark.
Aims: We compared sensor-derived glycaemic metrics in pregnant women with type 1 diabetes (T1D) randomised to faster acting insulin aspart (faster aspart) or insulin aspart (IAsp).
Methods: A pre-planned secondary analysis of the CopenFast trial included women with T1D using intermittently scanned continuous glucose monitoring (isCGM) during pregnancy. Glycaemic metrics, including time in range (TIRp, 3.
Phase II trial of pembrolizumab and epacadostat in recurrent clear cell carcinoma of the ovary: An NRG oncology study GY016.
Gynecol Oncol
July 2024
US Oncology Network, 9180 Pinecroft Ave., Shenandoah, TX 77030, USA. Electronic address:
Introduction: Early reports of PD-1 inhibition in ovarian clear cell carcinomas (OCCC) demonstrate promising response. We evaluated the combination of pembrolizumab and IDO-1 inhibitor epacadostat in patients with recurrent OCCC.
Methods: This single arm, two-stage, phase 2 trial included those with measurable disease and 1-3 prior regimens.
Investigator-Initiated vs. Investigator-Sponsored Research: Definitions Matter.
J Clin Med Res
January 2024
Office of Research Administration, Hackensack Meridian Health Research Institute, Nutley, NJ, USA.
Pre-emptive treatment of heart failure exacerbations in patients managed with the HeartLogic™ algorithm.
ESC Heart Fail
April 2024
Department of Cardiology, University Hospital of Poitiers, Poitiers, France.
Aims: Heart failure (HF) is a chronic disease affecting 64 million people worldwide and places a severe burden on society because of its mortality, numerous re-hospitalizations and associated costs. HeartLogic™ is an algorithm programmed into implanted devices incorporating several biometric parameters which aims to predict HF episodes. It provides an index which can be monitored remotely, allowing pre-emptive treatment of congestion to prevent acute decompensation.
View Article and Find Full Text PDFAutomated Insulin Delivery for Pregnant Women With Type 1 Diabetes: Where Do We Stand?
J Diabetes Sci Technol
November 2024
Center for Pregnant Women with Diabetes, Department of Endocrinology and Metabolism, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
Automated insulin delivery (AID) systems mimic an artificial pancreas via a predictive algorithm integrated with continuous glucose monitoring (CGM) and an insulin pump, thereby providing AID. Outside of pregnancy, AID has led to a paradigm shift in the management of people with type 1 diabetes (T1D), leading to improvements in glycemic control with lower risk for hypoglycemia and improved quality of life. As the use of AID in clinical practice is increasing, the number of women of reproductive age becoming pregnant while using AID is also expected to increase.
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