LabMedica

Download Mobile App
Recent News Expo Clinical Chem. Molecular Diagnostics Hematology Immunology Microbiology Pathology Technology Industry Focus

Glucose Point-of-Care Measurements Evaluated for Gestational Diabetes

By LabMedica International staff writers
Posted on 04 Mar 2020
Print article
Image: The AU640 chemistry analyzer is an ideal primary clinical chemistry analyzer for low- to mid-volume hospitals and laboratories (Photo courtesy of Beckman Coulter).
Image: The AU640 chemistry analyzer is an ideal primary clinical chemistry analyzer for low- to mid-volume hospitals and laboratories (Photo courtesy of Beckman Coulter).
Gestational diabetes is a condition in which a woman without diabetes develops high blood sugar levels during pregnancy. Gestational diabetes generally results in few symptoms; however, it does increase the risk of pre-eclampsia, depression, and requiring a Caesarean section.

Glucose meter devices are not currently recommended for diagnostic purposes. An important factor to consider is that almost all of the prior studies evaluating the diagnostic capability of point-of-care (POC) measurement for gestational diabetes mellitus (GDM) compare the POC results with venous glucose samples as the reference standard with suboptimal sample handling.

Scientists from the Coombe Women and Infants University Hospital (Dublin, Ireland) recruited 202 women who agreed to participate were followed up with an oral glucose tolerance test (OGTT) (mean gestation, 27.5 ±1.0 weeks) after an overnight fast (≥8 hours) between October 2017 and November 2018. A 2-hour 75 g OGTT was conducted to screen for GDM. The team collected venous samples in a sodium fluoride additive tube the Sarstedt Fluoride EDTA S-Monovette (Sarstedt AG & Co., Nümbrecht, Germany) with immediate placement on an ice-water slurry for transportation to the laboratory within 30 minutes for prompt centrifugation to prevent glycolysis.

Glucose was measured by the hexokinase method using a Beckman Coulter AU640 analyzer (Brea, CA, USA) with a CV percentage (CV%) of 2.0% at 103 mg/dL (5.7 mmol/L) and 234 mg/dL (13.0 mmol/L). The scientists collected a drop of capillary whole blood from a distal fingertip to measure POC capillary glucose using the Bayer Contour XT meter (Leverkusen, Germany). This meter uses a flavin adenine dinucleotide glucose dehydrogenase measuring system and was selected for its performance over a wide hematocrit range.

The scientists reported that the mean ±SD time between collection of the reference standard venous samples on ice-water slurry and transportation to the laboratory for centrifugation was 17 ± 9.7), 13 ± 9.0, and 13 ± 8.9 minutes for the fasting, 1-hour, and 2-hour samples, respectively, confirming adherence to international guidelines. Based on the plasma sample, the rate of GDM was 53.5% using the recent International Association of Diabetes and Pregnancy Study Groups criteria. The correlation between POC capillary and laboratory plasma glucose was greater than 0.9 at all three time points in the derivation cohort. As a predictor of GDM, the diagnostic accuracy of POC measurement was 83.0% (95% confidence interval, 74.2–89.8).

The authors concluded that in high-resource settings where measures to inhibit glycolysis are implemented, the use of POC measurements for the diagnosis of GDM is not justified based on this study. However, in low- and medium-resource settings, where measures to inhibit glycolysis are not practicable, regression analysis using POC measurements may be acceptable compared with plasma samples subject to glycolysis. The study was published in the February 2020 issue of the journal Clinical Chemistry.

Related Links:
Coombe Women and Infants University Hospital
Sarstedt AG & Co
Beckman Coulter
Bayer


Gold Member
Troponin T QC
Troponin T Quality Control
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Anti-HHV-6 IgM Assay
anti-HHV-6 IgM ELISA (semiquant.)
New
Silver Member
ACTH Assay
ACTH ELISA

Print article

Channels

Molecular Diagnostics

view channel
Image: The Mirvie RNA platform predicts pregnancy complications months before they occur using a simple blood test (Photo courtesy of Mirvie)

RNA-Based Blood Test Detects Preeclampsia Risk Months Before Symptoms

Preeclampsia remains a major cause of maternal morbidity and mortality, as well as preterm births. Despite current guidelines that aim to identify pregnant women at increased risk of preeclampsia using... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more

Microbiology

view channel
Image: The lab-in-tube assay could improve TB diagnoses in rural or resource-limited areas (Photo courtesy of Kenny Lass/Tulane University)

Handheld Device Deliver Low-Cost TB Results in Less Than One Hour

Tuberculosis (TB) remains the deadliest infectious disease globally, affecting an estimated 10 million people annually. In 2021, about 4.2 million TB cases went undiagnosed or unreported, mainly due to... Read more

Technology

view channel
Image: Schematic illustration of the chip (Photo courtesy of Biosensors and Bioelectronics, DOI: https://doi.org/10.1016/j.bios.2025.117401)

Pain-On-A-Chip Microfluidic Device Determines Types of Chronic Pain from Blood Samples

Chronic pain is a widespread condition that remains difficult to manage, and existing clinical methods for its treatment rely largely on self-reporting, which can be subjective and especially problematic... Read more

Industry

view channel
Image: The collaboration aims to leverage Oxford Nanopore\'s sequencing platform and Cepheid\'s GeneXpert system to advance the field of sequencing for infectious diseases (Photo courtesy of Cepheid)

Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions

Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Sekisui Diagnostics UK Ltd.