RheoSCAN - CSS Test
Diabetic Kidney Disease (DKD) Screening Assay
CSS shows significantly high correlation with diabetic kidney diseases classified by either ACR or GFR.
In the ROC curve analysis with eGFR (AUC = 0.615),
- sensitivity 60.3%
- specificity: 59.6%
- Odd ratio: 2.573 (95% CI = 1.057–6.264, p < 0.05)
Odd ratio; difference between CSS T1 and T3 is 2.573
In the ROC curve analysis with uACR (AUC = 0.635)
- sensitivity: 60.2%
- specificity: 60.3%
- Odd ratio: 3.063 (95% = CI 1.632–5.748, p < 0.01)
Odd ratio; difference between CSS T1 and T3 is 3.063
Chung et al., Critical Shear Stress is Associated with Diabetic Kidney Disease in Patients with Type 2 Diabetes, Scientific Reports (2018) 8:908
Critical Shear Stress can detect early stages diabetic complications.
CSS shows significant difference between Healthy group(RED) and Patients with diabetic complications group(GREEN).
CSS can detect Diabetic complications from diabetic patients at GFR 3 or ACR 2. who do not have any symptoms.
Gyawali et al., Hemorheology, ankle brachial pressure index (ABPI) and toe brachial pressure index (TBPI) in metabolic syndrome, Microvascular research 95 (2014), 31-36
Gyawali et al., Hemorheological parameters better classify metabolic syndrome than novel cardiovascular risk factors and peripheral vascular disease marker, Clin. hemorheol. microcirc. 64 (2016), 1-5
Critical Shear Stress
Critical Shear Stress(CSS) is the minimum force required to disperse RBC aggregation. CSS is found to be independent of hematocrit.
The diagnosis takes less than 1 minute.
CSS only requires 500uL of whole blood sample.
RBC deformability requires 6uL of whole blood sample with PVP solution.
RBC aggregation is dispersed somewhere
Backscattering w/ pressure-scanning
Clin. Hemorheol. Microcirc. (2009)
Early detection of Metabolic Syndrome
In the ROC curve analysis,
- AUC of CSS is 0.818
(95% CI: 0.715 to 0.922, P < 0.0005)
- Odd ratio for predicting metabolic syndrome by CSS is 3.896 (95% CI: 2.174 to 6.985, P < 0.0005)