A semilogarithmic scale for glucose provides a balanced view of hyperglycemia and hypoglycemia.
OBJECTIVE
It would be desirable to improve the ability of physicians and patients to identify hypoglycemic episodes when viewing displays of glucose by date, time of day, or day of the week.


METHODS
A logarithmic scale is utilized for display of glucose versus date and time of day using a range of 40 to 400 mg/dl. Several plausible alternatives are considered for transformation of the glucose data.


RESULTS
Use of a semilogarithmic plot triples the percentage of the vertical axis allocated to hypoglycemia (e.g., 40-80 mg/dl) from 10% to 30.1% while compressing the hyperglycemic region. The log scale improves the symmetry of the glucose distribution. Transformations were evaluated corresponding to the Schlichtkrull M(100) value, the high blood glucose index/low blood glucose index of Kovatchev and associates, an index of glycemic control developed by the present author, and the GRADE score of Hill and coworkers. Results are similar for all four transformations. This approach is applicable both to self-monitoring of blood glucose (SMBG) and continuous glucose monitoring (CGM). Based on preliminary results, it is proposed that the log transform could potentially facilitate analysis of glucose patterns and may facilitate rapid and consistent detection and appreciation of the severity and consistency of hypoglycemic episodes, even in the presence of complex overlapping patterns commonly observed in both SMBG and CGM glucose profiles.


CONCLUSIONS
Display of glucose on a logarithmic scale can potentially improve the accuracy of analysis and interpretation of popular methods for graphic display of glucose values. Device manufacturers should consider including options for semilogarithmic display of glucose on SMBG meters, CGM sensors, and software for retrospective analyses of glucose data.
Rodbard
David
D
Biomedical Informatics Consultants, LLC, Potomac, Maryland 20854-4721, USA. drodbard@comcast.net
D000465:Algorithms; D001786:Blood Glucose / Q000187:drug effects / Q000378:metabolism*; D015190:Blood Glucose Self-Monitoring / Q000295:instrumentation; D003196:Computer Graphics; D003920:Diabetes Mellitus / Q000097:blood / Q000175:diagnosis* / Q000188:drug therapy; D019719:Diagnostic Equipment; D006801:Humans; D006943:Hyperglycemia / Q000097:blood / Q000175:diagnosis* / Q000188:drug therapy; D007003:Hypoglycemia / Q000097:blood / Q000139:chemically induced / Q000175:diagnosis* / Q000188:drug therapy; D007004:Hypoglycemic Agents / Q000008:administration & dosage / Q000009:adverse effects; D016014:Linear Models; D008954:Models, Biological; D008991:Monitoring, Physiologic / Q000295:instrumentation; D011237:Predictive Value of Tests; D012720:Severity of Illness Index; D012984:Software; D013997:Time Factors
D001786:Blood Glucose; D007004:Hypoglycemic Agents