Literature DB >> 21501305

Clinical performance of the new glucometer in the nursery and neonatal intensive care unit.

Pracha Nuntnarumit1, Anchalee Chittamma, Pharuhad Pongmee, Archara Tangnoo, Somying Goonthon.   

Abstract

BACKGROUND: Performance of point-of-care (POC) glucometers in newborns have been unsatisfactory in low glucose concentration range and the effects of different hematocrit levels on glucose measurements have also demonstrated in currently used POC glucometers.
METHODS: The aim of this study was to evaluate the performance of the new glucometer (Nova-Statstrip(®) ; Nova Biomedical, Waltham, MA, USA) compared to the reference method. Venous blood specimens of neonates were collected and tested by the two glucometers. Standard reference was performed using the hexokinase method within 10 min of blood collection. Hematocrit and total serum bilirubin measurements were performed simultaneously.
RESULTS: One hundred and fifty-one blood specimens were collected and measured by the reference method with plasma glucose concentrations ranging from 12 to 371 mg/dL. Twenty-one specimens had plasma glucose concentrations <45 mg/dL. At plasma glucose concentrations less than 75 mg/dL, the Statstrip(®) achieved 93% in the tests for discrepancy < 15 mg/dL. At a glucose concentration more than 75 mg/dL, 97% of the Statstrip(®) readings were within 20% of the reference values. The mean difference (±2SD) of the Statstrip(®) was 2.8 (-14.1, 19.7) mg/dL. At a hypoglycemic level (<45 mg/dL), it showed a sensitivity of 95.2%. No significant interference of hematocrit or total serum bilirubin was found on the mean bias of the Statstrip(®) .
CONCLUSION: The new glucometer (Nova-Statstrip(®) ) could be used for point-of-care blood glucose measurement in neonates as it showed a narrow margin of error and had no hematocrit or bilirubin interference.
© 2011 The Authors. Pediatrics International © 2011 Japan Pediatric Society.

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Year:  2011        PMID: 21501305     DOI: 10.1111/j.1442-200X.2010.03214.x

Source DB:  PubMed          Journal:  Pediatr Int        ISSN: 1328-8067            Impact factor:   1.524


  7 in total

1.  Dynamic electrochemistry corrects for hematocrit interference on blood glucose determinations with patient self-measurement devices.

Authors:  Petra B Musholt; Christina Schipper; Nicole Thomé; Sanja Ramljak; Marc Schmidt; Thomas Forst; Andreas Pfützner
Journal:  J Diabetes Sci Technol       Date:  2011-09-01

2.  Prediction of adverse perinatal outcome by fetal biometry: comparison of customized and population-based standards.

Authors:  D Kabiri; R Romero; D W Gudicha; E Hernandez-Andrade; P Pacora; N Benshalom-Tirosh; D Tirosh; L Yeo; O Erez; S S Hassan; A L Tarca
Journal:  Ultrasound Obstet Gynecol       Date:  2020-02       Impact factor: 7.299

3.  Comparison of Point of Care (POC) Testing of Glucose by B Braun Glucometer and Hemocue Glucose 201+ Analyser Versus Centralised Testing in Neonatal Intensive Care Unit (NICU).

Authors:  Sudha Reddy V R; Sumathi M E; Beere Gowda Y C; Mohamed Suhail S
Journal:  J Clin Diagn Res       Date:  2014-07-20

4.  Continuous glucose monitoring in newborn infants: how do errors in calibration measurements affect detected hypoglycemia?

Authors:  Felicity Thomas; Mathew Signal; Deborah L Harris; Philip J Weston; Jane E Harding; Geoffrey M Shaw; J Geoffrey Chase
Journal:  J Diabetes Sci Technol       Date:  2014-02-27

5.  Accuracy of the StatStrip versus SureStep Flexx glucose meter in neonates at risk of hypoglycemia.

Authors:  Ratchada Kitsommart; Sopapan Ngerncham; Pimol Wongsiridej; Tharatip Kolatat; Kriang-Sak Jirapaet; Bosco Paes
Journal:  Eur J Pediatr       Date:  2013-05-05       Impact factor: 3.183

6.  Evaluation of three glucometers for whole blood glucose measurements at the point of care in preterm or low-birth-weight infants.

Authors:  Joon Ho Hwang; Yong-Hak Sohn; Seong-Sil Chang; Seung Yeon Kim
Journal:  Korean J Pediatr       Date:  2015-08-21

7.  A model for managing and monitoring the quality of glucometers used in a high-volume clinical setting.

Authors:  Güzin Aykal; Ayşenur Yegin; Özgür Tekeli; Necat Yilmaz
Journal:  Biochem Med (Zagreb)       Date:  2016       Impact factor: 2.313

  7 in total

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