Unpaired t-tests were used to compare baseline demographics between healthy subjects and DM patients with CLI, and general linear model (GLM) was used to identify differences in baseline SPECT perfusion values (SUVs) between healthy and CLI groups after controlling for age. Serial SPECT measurements acquired at 15 and 45 minutes post-radiotracer injection were assessed for the discrepancy and the consistency of the repeated two measures using Bland-Altman plot and intraclass correlation coefficient (ICC), respectively. Pearson’s correlation coefficient was used to assess the relationship between resting SPECT perfusion values and ABI measurements. Normality was assessed for all continuous variables using the Kolmogorov-Smirnov test. All statistical analysis was performed using commercially available software (GraphPad Prism v7.0 for Mac OS X, GraphPad Software, La Jolla, CA, USA; SAS/STAT v9.4 for Windows, SAS Institute Inc., Cary, NC, USA). Statistical significance for all analyses was set at P < 0.05. All values are expressed as means ± SD unless stated otherwise.
Sas stat v9.4 for windows
Manufactured by SAS Institute
Sourced in United States
SAS/STAT v9.4 for Windows is a software package that provides a comprehensive set of statistical procedures for data analysis. It includes tools for regression, analysis of variance, multivariate analysis, survival analysis, and more. The software is designed to run on the Windows operating system.
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Lab products found in correlation
2 protocols using sas stat v9.4 for windows
1
Assessing Perfusion in CLI Patients
2
Assessing SPECT Perfusion in CLI
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Unpaired t tests were used to compare baseline demographics between healthy subjects and diabetic patients with CLI, and general linear model was used to identify differences in baseline SPECT perfusion values (standardized uptake values) between healthy and CLI groups after controlling for age. Serial SPECT measurements acquired at 15 and 45 minutes post-radiotracer injection were assessed for the discrepancy and the consistency of the repeated 2 measures using Bland–Altman plot and intraclass correlation coefficient (ICC), respectively. Pearson correlation coefficient was used to assess the relationship between resting SPECT perfusion values and ABI measurements. Normality was assessed for all continuous variables using the Kolmogorov–Smirnov test. All statistical analyses were performed using commercially available software (GraphPad Prism v7.0 for Mac OS X; GraphPad Software, La Jolla, CA; SAS/STAT v9.4 for Windows; SAS Institute, Inc, Cary, NC). Statistical significance for all analyses was set at P<0.05. All values are expressed as means±SD unless stated otherwise.
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