Analysis of factors influencing the accuracy of flash glucose monitoring techniques in critically ill patients
10.3760/cma.j.cn114656-20241112-00790
- VernacularTitle:危重症患者扫描式葡萄糖监测技术准确度的影响因素分析
- Author:
Lishuang ZHAO
1
;
Juan LU
;
Jianjun ZHU
;
Jingye ZHAN
;
Lijun LIU
;
Qunying BAO
;
Xiaoyan TIAN
Author Information
1. 苏州大学附属第二医院急重症医学科，苏州 215004
- Keywords:
Flash glucose monitoring;
Critically ill patients;
Accuracy;
Influencing factors
- From:
Chinese Journal of Emergency Medicine
2025;34(7):970-976
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the relevant factors affecting the accuracy of scanning glucose monitoring (FGM) technology in critically ill patients.Methods:A total of 53 patients who were admitted to the Intensive Care Unit (ICU) of the Second Affiliated Hospital of Soochow University and used FGM glucose monitoring from September 2022 to December 2023 were selected by means of a convenience sampling method. The paired data of arterial blood glucose and FGM glucose were analysed. The accuracy of FGM blood glucose measurement in critically ill patients was evaluated using Bland-Altman analysis. The blood glucose data were divided into two groups: the FGM monitoring accuracy group and the FGM monitoring non-accuracy group.. The t-test and χ2 test were used for the comparison of one-way analysis of arterial versus FGM accuracy among critically ill patients with different demographic characteristics. Logistic regression analysis was used to analyze the factors influencing the accuracy of FGM. Results:The results of Bland-Altman analysis of the 53 patients indicated that the mean bias value of FGM blood glucose was elevated at 1.215 mmol/L in comparison with arterial-blood gas analysis blood glucose values. An incidence of exceeding the upper and lower limits of the range was observed, amounting to 6.349%. The discrepancy between the studies was found to be statistically significant (95% CI:1.0394~1.3908, P<0.001). The effects of the changes in height ( OR=0.877, 95% CI:0.780~0.987, P=0.029), changes in leukocyte counts( OR=0.917, 95% CI:0.868~0.969, P=0.002), changes in C-reactive protein( OR=1.009, 95% CI:1.002~1.017, P=0.016), changes in albumin counts( OR=0.986, 95% CI:0.974~0.999, P=0.031), and whether or not sepsis ( OR=3.937, 95% CI:1.192~13.008, P=0.025) on the accuracy of FGM had a statistically significant. Conclusion:The mean bias value of the accuracy of FGM was relatively higher compared with that of arterial blood gas analysis blood glucose values, and the influencing factors involved height, white blood cells, C-reactive protein, albumin, and whether or not sepsis was present. With the development of science and technology, applying the FGM system to critically ill patients has an absolute advantage in determining the overall glycemic trend, and the application value of FGM technology deserves further study.
