Objectives: Method imprecision, error rates, and explanatory causes that were identified in the Institute for Quality Management in Healthcare point-of-care (POC) glucose proficiency testing (PT) program were assessed in comparison with results obtained from laboratory glucose PT surveys.
Methods: POC and laboratory glucose PT data were assessed from September 2009 to June 2011. Peer group means and coefficients of variation (CVs) were estimated using the robust algorithm recommended in the International Organization for Standardization/International Electrotechnical Commission 13528(E). Discordant finding investigations were also reviewed to determine the causes of significant and recurring errors.
Results: POC glucose CVs were higher than laboratory method CVs (median CV, 4.5% and 1.6%, respectively). While all laboratory glucose results were within the performance limits, 305 (0.59%) of 51,379 POC glucose results exceeded limits. Investigations were required for 277 (0.53%) POC results. Pre- and postanalytical errors accounted for 76% of the discordant findings. Using wrong PT items, sample mix-up on the bench, and reporting results for the wrong sample were the most frequent reasons, while 21% of discordant findings identified manufacturer issues, and 3% were of unknown origin.
Conclusions: Both method CVs and error rates were higher in POC than in laboratory glucose methods, even though larger performance limits were used for the assessment of POC glucose.
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http://dx.doi.org/10.1309/AJCPP5YS2MVSKBYY | DOI Listing |
Endocr Pract
December 2024
Diabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, California.
Objective: The benefits of continuous glucose monitoring (CGM) in managing hyperglycemia in hospitalized patients with type 2 diabetes (T2D) have been documented in observation and intervention clinical studies. However, the benefits of CGMs after hospital discharge in improving the care of patients with T2D remain unknown.
Methods: This pilot randomized clinical trial aimed to compare the effectiveness and safety of using the FreeStyle Libre 2 CGM versus capillary point-of-care (POC) glucose testing (standard of care) in insulin-treated patients with T2D for up to 12 weeks after hospital discharge.
Sensors (Basel)
December 2024
GLUCUBE, 41011 Seville, Spain.
Background: The need for frequent blood glucose (BG) monitoring and the inconveniences associated with self-monitoring of BG (SMBG) have driven the development of non-invasive approaches.
Methods: This prospective study aimed to investigate the accuracy of glucose level calculation using the near-infrared spectroscopy (NIRS) technology system. People with Type 1 diabetes, Type 2 diabetes, prediabetes, and normal glucose metabolism were included.
BMJ Open
December 2024
Institute of General Practice and Family Medicine, Jena University Hospital, Jena, Thüringen, Germany.
Objectives: German general practitioners (GPs) either order laboratory tests from external laboratories (initiated laboratory services (ILS)) or perform point-of-care tests (POCTs) within the GP practice. This study investigated the current use and time trends of laboratory testing in German GP practices with a particular focus on POC testing.
Design: Retrospective consecutive cross-sectional study by analysis of complete outpatient healthcare claims data (2017-2022).
Diabetes Care
December 2024
Division of Pediatric Endocrinology, Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX.
Objective: The adoption of continuous glucose monitors (CGMs) in inpatient settings in the pediatric population has been slow because of a scarcity of data on their reliability in hospitalized children.
Research Design And Methods: We retrospectively reviewed the accuracy of the Dexcom G6 CGM system in pediatric patients with diabetes admitted to our academic children's hospital from March 2018 to September 2023. We cross-referenced the Dexcom Clarity database against an internal database of inpatient admissions to identify all children with CGM data admitted to the hospital.
Micromachines (Basel)
October 2024
Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, ON M3J 1P3, Canada.
This review provides a comprehensive overview of point-of-care (PoC) devices across several key diagnostic applications, including blood analysis, infectious disease detection, neural interfaces, and commercialized integrated circuits (ICs). In the blood analysis section, the focus is on biomarkers such as glucose, dopamine, and aptamers, and their respective detection techniques. The infectious disease section explores PoC technologies for detecting pathogens, RNA, and DNA, highlighting innovations in molecular diagnostics.
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