Jordan E Pinsker
Overview
Explore the profile of Jordan E Pinsker including associated specialties, affiliations and a list of published articles.
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96
Citations
1452
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Recent Articles
11.
Levy C, Kudva Y, Ozaslan B, Castorino K, OMalley G, Kaur R, et al.
Diabetes Care
. 2023 May;
46(7):1425-1431.
PMID: 37196353
Objective: There are no commercially available hybrid closed-loop insulin delivery systems customized to achieve pregnancy-specific glucose targets in the U.S. This study aimed to evaluate the feasibility and performance of...
12.
Vargas E, Aiello E, Ben Hassine A, Ruiz-Valdepenas Montiel V, Pinsker J, Church M, et al.
Anal Chem
. 2022 Jun;
94(26):9217-9225.
PMID: 35715001
Decentralized sensing of analytes in remote locations is today a reality. However, the number of measurable analytes remains limited, mainly due to the requirement for time-consuming successive standard additions calibration...
13.
Pinsker J, Dassau E, Deshpande S, Raghinaru D, Buckingham B, Kudva Y, et al.
Diabetes Technol Ther
. 2022 May;
24(9):635-642.
PMID: 35549708
Automated insulin delivery (AID) systems have proven effective in increasing time-in-range during both clinical trials and real-world use. Further improvements in outcomes for single-hormone (insulin only) AID may be limited...
14.
Kaur R, Smith B, Ozaslan B, Pinsker J, Trinidad M, OMalley G, et al.
Diabetes Technol Ther
. 2022 Mar;
24(8):544-555.
PMID: 35349353
Pregnancies in type 1 diabetes are high risk, and data in the United States are limited regarding continuous glucose monitoring (CGM)-based hypoglycemia throughout pregnancy while on sensor-augmented insulin pump therapy....
15.
Ozaslan B, Levy C, Kudva Y, Pinsker J, OMalley G, Kaur R, et al.
Diabetes Technol Ther
. 2022 Mar;
24(7):471-480.
PMID: 35230138
Evaluating the feasibility of closed-loop insulin delivery with a zone model predictive control (zone-MPC) algorithm designed for pregnancy complicated by type 1 diabetes (T1D). Pregnant women with T1D from 14...
16.
Aiello E, Pinsker J, Vargas E, Teymourian H, Tehrani F, Church M, et al.
J Diabetes Sci Technol
. 2022 Feb;
17(4):1038-1048.
PMID: 35118893
Background: The estimation of available active insulin remains a limitation of automated insulin delivery systems. Currently, insulin pumps calculate active insulin using mathematical decay curves, while quantitative measurements of insulin...
17.
Levy C, OMalley G, Raghinaru D, Kudva Y, Laffel L, Pinsker J, et al.
Diabetes Technol Ther
. 2022 Jan;
24(5):357-361.
PMID: 35099294
To analyze insulin delivery and glycemic metrics throughout the menstrual cycle for women with type 1 diabetes using closed loop control (CLC) insulin delivery. Menstruating women using a CLC system...
18.
Kaur R, Deshpande S, Pinsker J, Gilliam W, McCrady-Spitzer S, Zaniletti I, et al.
Diabetes Technol Ther
. 2022 Jan;
24(5):338-349.
PMID: 35049354
Automated insulin delivery (AID) systems have not been evaluated in the context of psychological and pharmacological stress in type 1 diabetes. Our objective was to determine glycemic control and insulin...
19.
Vargas E, Aiello E, Pinsker J, Teymourian H, Tehrani F, Church M, et al.
J Diabetes Sci Technol
. 2022 Jan;
17(4):1029-1037.
PMID: 35043720
Background: Clinical decision support systems that incorporate information from frequent insulin measurements to enhance individualized diabetes management remain an unmet goal. The development of a disposable insulin strip for fast...
20.
Clinical Evaluation of a Novel CGM-Informed Bolus Calculator with Automatic Glucose Trend Adjustment
Pinsker J, Church M, Brown S, Voelmle M, Bode B, Narron B, et al.
Diabetes Technol Ther
. 2021 Sep;
24(1):18-25.
PMID: 34491825
Expert opinion guidelines and limited data from clinical trials recommend adjustment to bolus insulin doses based on continuous glucose monitor (CGM) trend data, yet minimal evidence exists to support this...