Although the scientific literature contains numerous reports of the statistical accuracy of systems for self-monitoring of blood glucose (SMBG), most of these studies determine accuracy in ways that may not be clinically useful. We have developed an error grid analysis (EGA), which describes the clinical accuracy of SMBG systems over the entire range of blood glucose values, taking into account 1) the absolute value of the system-generated glucose value, 2) the absolute value of the reference blood glucose value, 3) the relative difference between these two values, and 4) the clinical significance of this difference. The EGA of accuracy of five different reflectance meters (Eyetone, Dextrometer, Glucometer I, Glucometer II, Memory Glucometer II), a visually interpretable glucose reagent strip (Glucostix), and filter-paper spot glucose determinations is presented. In addition, reanalyses of a laboratory comparison of three reflectance meters (Accucheck II, Glucometer II, Glucoscan 9000) and of two previously published studies comparing the accuracy of five different reflectance meters with EGA is described. EGA provides the practitioner and the researcher with a clinically meaningful method for evaluating the accuracy of blood glucose values generated with various monitoring systems and for analyzing the clinical implications of previously published data.
Background-The Internet has become a major component to health care and has important implications for the future of the health care system. One of the most notable aspects of the Web is its ability to provide efficient, interactive, and tailored content to the user. Given the wide reach and extensive capabilities of the Internet, researchers in behavioral medicine have been using it to develop and deliver interactive and comprehensive treatment programs with the ultimate goal of impacting patient behavior and reducing unwanted symptoms. To date, however, many of these interventions have not been grounded in theory or developed from behavior change models, and no overarching model to explain behavior change in Internet interventions has yet been published.
Rapid, site-specific labeling of proteins with diverse
probes remains
an outstanding challenge for chemical biologists. Enzyme-mediated
labeling approaches may be rapid but use protein or peptide fusions
that introduce perturbations into the protein under study and may
limit the sites that can be labeled, while many “bioorthogonal”
reactions for which a component can be genetically encoded are too
slow to effect quantitative site-specific labeling of proteins on
a time scale that is useful for studying many biological processes.
We report a fluorogenic reaction between bicyclo[6.1.0]non-4-yn-9-ylmethanol
(BCN) and tetrazines that is 3–7 orders of magnitude faster
than many bioorthogonal reactions. Unlike the reactions of strained
alkenes, including trans-cyclooctenes and norbornenes,
with tetrazines, the BCN–tetrazine reaction gives a
single product of defined stereochemistry. We have discovered aminoacyl-tRNA
synthetase/tRNA pairs for the efficient site-specific incorporation
of a BCN-containing amino acid, 1, and a trans-cyclooctene-containing amino acid 2 (which also reacts
extremely rapidly with tetrazines) into proteins expressed in Escherichia coli and mammalian cells. We demonstrate
the rapid fluorogenic labeling of proteins containing 1 and 2 in vitro, in E. coli, and in live mammalian cells. These approaches may be extended to
site-specific protein labeling in animals, and we anticipate that
they will have a broad impact on labeling and imaging studies.
IDDM subjects who believe they have reduced awareness of hypoglycemia are generally correct. They have a history of more moderate and severe hypoglycemia, are less accurate at detecting BG < 3.9 mmol/l, and prospectively experience more moderate and severe hypoglycemia than do aware subjects. Neither disease duration nor level of glucose control explains their reduced awareness of hypoglycemia. Reduced-awareness individuals may benefit from interventions designed to teach them to recognize all of their potential early warning symptoms.
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