Utility of Estimating Glycated Hemoglobin in Sodium Fluoride Tube and by Turbidimetric Immunoinhibition Method: Our Experience in a Tertiary Care Cancer Centre
Shrikant Raut, Kalpita Naik, Vinayak Parab, Nikhil Choudhary, Kinjalka Ghosh

TL;DR
This study shows that glycated hemoglobin (HbA1c) can be accurately measured from a single blood sample in a sodium fluoride tube, eliminating the need for an additional EDTA tube in cancer patients with diabetes.
Contribution
The study demonstrates that HbA1c can be reliably estimated from sodium fluoride tubes using turbidimetric immunoinhibition, comparable to standard HPLC methods.
Findings
HbA1c values measured from sodium fluoride and EDTA tubes showed no significant difference using HPLC or turbidimetric immunoinhibition methods.
A strong and significant correlation was observed between HbA1c values obtained from both tube types and methods.
The results confirm that using a single sodium fluoride tube is sufficient for estimating HbA1c in cancer patients.
Abstract
Background Diabetes mellitus in cancer patients is monitored by measuring blood glucose levels and glycated hemoglobin (HbA1c) collected in sodium fluoride and EDTA tube respectively. This study intends to estimate HbA1c from a sodium fluoride tube and compare it with a standard EDTA tube eliminating the requirement of collecting additional samples in an already challenging venipuncture in cancer patients and also compare HbA1c levels estimated by turbidimetric immunoinhibition with reference high-performance liquid chromatography (HPLC) method. Methods This cross-sectional study was conducted at the Department of Biochemistry of Tata Memorial Hospital, Mumbai, India, over a period of five months. Blood samples of patients received in sodium fluoride and EDTA tubes at the same time for estimation of blood glucose and HbA1c respectively were included in the study. HbA1c results by…
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Taxonomy
TopicsHyperglycemia and glycemic control in critically ill and hospitalized patients · Diabetes and associated disorders · Metabolism, Diabetes, and Cancer
