Journal: Scientific Reports

Article Title: Improved quantification of muscle insulin sensitivity using oral glucose tolerance test data: the MISI Calculator

doi: 10.1038/s41598-019-45858-w

Figure Lengend Snippet: Overview of exclusion criteria for Maastricht Study data and results of analysis in PRESERVE and Maastricht studies. ( a ) Flow chart of exclusion of data from the Maastricht Study for analysis. ( b ) Bar plots of time of glucose peak in Maastricht study OGTT data, white bars show seven time point data; black bars indicate the five time point subset. Dashed line shows distribution of peak glucose time predicted by cubic splining of five time point data. ( c ) dG/dt five (dashed line) computed on a five time point subset (black circles) differs from dG/dt seven (dot-dashed line) computed on a seven time point OGTT (black circles plus empty circles). dG/dt spline (dotted line) computed on a cubic spline of the five time point data (solid line) more closely represents the seven time point dG/dt. ( d ) Scatter plot of PRESERVE Study (n = 69) clamp ssGIR with both the standard MISI (open circles) and cubic spline MISI (crosses). Correlation for standard MISI and modified MISI with ssGIR value are represented by the solid and dashed lines of best fit respectively.

Article Snippet: The MISI calculator was programmed in MATLAB 2014b, The MathWorks Inc., Natick, Massachusetts, United States of America. and the stand alone graphical user interface (GUI) was generated to install Matlab Runtime, such that no Matlab installation is required for the use of the calculator (Fig. ).

Techniques: Modification

Journal: Scientific Reports

Article Title: Improved quantification of muscle insulin sensitivity using oral glucose tolerance test data: the MISI Calculator

doi: 10.1038/s41598-019-45858-w

Figure Lengend Snippet: Criteria for flagging glucose curves when calculating MISI. ( a ) No unique solution for calculating dG/dt when the glucose peak occurs at 120 minutes. ( b ) Glucose curves with a glucose peak less than 0.5 mmol/l greater than the fasting value have often failed to capture the glucose peak and tend to yield low MISI values (dotted line), whereas the true value may be quite high (dashed line computed on seven time points). ( c ) Larger glucose rebound may not be negligible, strictly using the nadir may result in biologically irrelevant MISI scores.

Article Snippet: The MISI calculator was programmed in MATLAB 2014b, The MathWorks Inc., Natick, Massachusetts, United States of America. and the stand alone graphical user interface (GUI) was generated to install Matlab Runtime, such that no Matlab installation is required for the use of the calculator (Fig. ).

Techniques:

Journal: Scientific Reports

Article Title: Improved quantification of muscle insulin sensitivity using oral glucose tolerance test data: the MISI Calculator

doi: 10.1038/s41598-019-45858-w

Figure Lengend Snippet: MISI score calculator indicating input and output for its use. The MISI Calculator take time series of glucose and insulin measurements collected during and OGTT for multiple individuals stored in the form of Excel files as input. The calculator can convert measurement units of both glucose and insulin to SI units used for calculation. The user can the specify flagging criteria and method for the calculation of MISI. The user can choose to save plots of the glucose and insulin curves when calculating the MISI score or view the flagged glucose and insulin curves in the MISI Calculator app. Output of the calculate is an excel file containing the user supplied ID number and the calculated MISI value. If MISI was not calculated, either due to flagging or missing values, an explanation is provided along with a suggested MISI value where possible.

Article Snippet: The MISI calculator was programmed in MATLAB 2014b, The MathWorks Inc., Natick, Massachusetts, United States of America. and the stand alone graphical user interface (GUI) was generated to install Matlab Runtime, such that no Matlab installation is required for the use of the calculator (Fig. ).

Techniques:

Journal: Scientific Reports

Article Title: Improved quantification of muscle insulin sensitivity using oral glucose tolerance test data: the MISI Calculator

doi: 10.1038/s41598-019-45858-w

Figure Lengend Snippet: Spearman correlations and reclassification probabilities for MISI computed using both the standard and modified methods on OGTT data for various common sampling schedules.

Article Snippet: The MISI calculator was programmed in MATLAB 2014b, The MathWorks Inc., Natick, Massachusetts, United States of America. and the stand alone graphical user interface (GUI) was generated to install Matlab Runtime, such that no Matlab installation is required for the use of the calculator (Fig. ).

Techniques: Modification, Sampling

Journal: Scientific Reports

Article Title: Improved quantification of muscle insulin sensitivity using oral glucose tolerance test data: the MISI Calculator

doi: 10.1038/s41598-019-45858-w

Figure Lengend Snippet: Spearman correlation values between standard and modified MISI and clamp ssGI for randomly selected sub-populations of PRESERVE study. Median spearman correlation between clamp ssGIR and both standard MISI (solid line) and cubic spline MISI (dashed line) for 1000 randomly selected subgroups of varying size from the PRESERVE Study. 95% quantiles are indicated by the shaded region to either side of the medians.

Article Snippet: The MISI calculator was programmed in MATLAB 2014b, The MathWorks Inc., Natick, Massachusetts, United States of America. and the stand alone graphical user interface (GUI) was generated to install Matlab Runtime, such that no Matlab installation is required for the use of the calculator (Fig. ).

Techniques: Modification