Page 26 - Glucose Monitoring Devices
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The shortcomings of SMBG and future perspective     21




                  as 16%, suggesting uncommon use of data reporting and analysis to assist diabetes
                  self-management [110]. Easier to use seamless connectivity of blood glucose meter
                  with smartphone application and cloud-based storage of data may increase the use of
                  downloaded data in diabetes self-management [24].
                     Accuracy of SMBG is the basis of proper diabetes management. The require-
                  ments regarding the accuracy of blood glucose monitoring systems (BGMSs) are
                  defined in the ISO standards [26] and FDA guidance [27]. Although the approval
                  by regulatory agencies is based on their performance before market introduction,
                  postmarketing assessment of 18 commercially available BGMSs revealed that
                  only 6 of the 18 BGMSs fulfilled the latest ISO standard (ISO 15197-2013) [121].
                  In addition, user errors have been identified as a common cause of measurement
                  inaccuracy [122,123]. Nevertheless, BGMSs have to achieve the same accuracy
                  levels when used by trained personnel and intended users (laypersons). In the study
                  evaluating measurement accuracy of four different BGMSs in the hands of lay users
                  and trained personnel, BGMSs accuracy varied markedly depending on the operator.
                  Common lay user errors included not checking the test strip codes, incorrect appli-
                  cation of blood, and not using the blood drop immediately [124]. The authors
                  concluded that BGMSs insensitive to operator errors would be a useful improve-
                  ment. Inaccurate blood glucose levels can lead to incorrect treatment decisions
                  and adverse clinical outcomes [125]. In silico study showed a 10-fold increase in
                  missed hypoglycemic episodes when SMBG errors ranged from 10% to 20%
                  [126]. Similarly, a 30-day in silico study in T1D individuals on insulin pump therapy
                  showed that large error rate increased episodes of severe hypoglycemia, but had little
                  effect on HbA1c. On the other hand, glucose meter’s systematic bias affected HbA1c
                  as well as a number of severe hypoglycemia events. Both bias and error exhibited a
                  significant effect on total daily insulin and the number of necessary glucose
                  measurements per day [127].
                     SMBG a few times a day can reveal only rough patterns of daily blood glucose
                  variation. Consequently, high blood glucose excursions may be overlooked and low
                  blood glucose values may be undetected, especially in individuals with impaired
                  awareness of hypoglycemia [128]. CGM is a step further to optimal glycemic con-
                  trol [129]. In addition to current glucose, it provides information on direction and
                  velocity of glucose change [130]. CGM can improve metabolic control, reduces
                  the risk of hypoglycemia, increases time in normoglycemic range [131], and
                  improves quality of life [132]. A clear clinical benefit has been demonstrated in
                  outcome trials for people with T1D and T2D, using either MDI or CSII therapy
                  [133]. In addition, real-world use of CGM demonstrated reduction of costs related
                  to diabetes, which may outweigh CGM-related costs [134]. As CGM can now be
                  used for insulin treatment decision-making [135] and future devices might be
                  factory calibrated, it may be anticipated to replace SMBG in routine use for a
                  wide range of people with diabetes.
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