Clinical impact of improved point-of-care glucose monitoring in neonatal intensive care using Nova StatStrip: Evidence for improved accuracy, better sensitivity, and reduced test utilization
| Autor: | Sarah Silverman, Kimiya Karbasy, Aideen M. Moore, Yunqi Chen, Caitlin H. Daly, Tina Henderson, Joshua E. Raizman, Petra Ariadne, Khosrow Adeli, Jennifer L. Shea, Sarah Redmond |
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| Rok vydání: | 2016 |
| Předmět: |
Blood Glucose
Male medicine.medical_specialty Point-of-care testing Point-of-Care Systems Clinical Biochemistry 030209 endocrinology & metabolism 03 medical and health sciences 0302 clinical medicine 030225 pediatrics Intensive care Medicine Humans Intensive care medicine Point of care Monitoring Physiologic Reagent Strips Retrospective Studies Hematologic Tests Receiver operating characteristic business.industry Glucose meter Glucose Measurement Infant Newborn Reproducibility of Results Venous Plasma General Medicine Prognosis Hypoglycemia ROC Curve Hyperglycemia Emergency medicine Practice Guidelines as Topic Intensive Care Neonatal Linear Models Female Sample collection business Biomarkers Follow-Up Studies |
| Zdroj: | Clinical biochemistry. 49(12) |
| ISSN: | 1873-2933 |
| Popis: | Studies have demonstrated improved analytical performance of the Nova StatStrip glucose meter, but limited data is available on its clinical performance in critically ill neonates in the neonatal intensive care unit (NICU).A retrospective charge review was conducted on 651 neonates admitted to the NICU over 2 years. Demographics, sample collection information, and clinical details were recorded. Glucose measurements were performed at the bedside using either the Nova StraStrip or LifeScan SureStep Flexx meters as well as corresponding measurements of laboratory venous plasma glucose. Performance was analyzed by receiver operator characteristic (ROC) curves for detecting hypoglycemia and critical glucose levels.Linear regression analysis comparing StatStrip and laboratory venous plasma glucose samples demonstrated significantly tighter agreement (r(2)=0.7994) and accuracy (mean bias=0.13mmol/L) than SureStep (r(2)=0.6845 and mean bias=0.53mmol/L). StatStrip also showed improved sensitivity for detecting critical low glucose values ≤3.0mmol/L (80.9 vs 68.9%, p0.05). ROC curve analysis further demonstrated excellent performance of StatStrip at this cutoff with an AUC of 0.98. Overall, neonates were also tested significantly less frequently with the StatStrip meter by 24% compared to SureStep.Implementation of StatStrip led to better agreement with venous plasma glucose, improved detection of critical low glucose results, and more efficient test utilization. This study demonstrates the importance of accurate and sensitive glucose monitoring in the NICU. |
| Databáze: | OpenAIRE |
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