Open AccessCritical shear stress of red blood cells as a novel integrated biomarker for screening chronic kidney diseases in cases of type 2 diabetes
Author(s) -
Il Rae Park,
Jimi Choi,
Eun Young Ha,
Seung Min Chung,
Jun Sung Moon,
Sehyun Shin,
Sin Gon Kim,
Kyu Chang Won
Publication year - 2022
Publication title -
clinical hemorheology and microcirculation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.546
H-Index - 54
eISSN - 1875-8622
pISSN - 1386-0291
DOI - 10.3233/ch-211326
Subject(s) - medicine , renal function , guideline , diabetes mellitus , kidney disease , creatinine , biomarker , type 2 diabetes , type 2 diabetes mellitus , urology , gastroenterology , cardiology , pathology , endocrinology , biochemistry , chemistry
BACKGROUND: The glomerular filtration rate (GFR) and albumin-to-creatinine ratio (ACR) have been widely used to identify and manage diabetic kidney disease (DKD). However, classifications based on these two indices do not always concur in terms of DKD diagnosis; for example, cases of high ACR with normal GFR or normal ACR with low GFR may occur. A recent study suggested that critical shear stress (CSS), a hemorheological parameter to represent aggregating force of red blood cells (RBCs), is a potential screening index for DKD. In the present study, we investigated the diagnostic potential of CSS for DKD according to the KDIGO 2012 Guideline. METHODS: A total of 378 patients with type 2 diabetes who visited Yeungnam University Hospital between 2014 and 2017 were included. CSS was measured using a transient microfluidic hemorheometer, Rheoscan-D300® (Rheomeditech, Seoul, Republic of Korea) with whole blood. Patients who were DKD negative (green zone) were compared with patients who were DKD positive (red zone) as Model 1 and patients at risk for (orange zone) and red zones as Model 2, respectively. RESULTS: After exclusion criteria such as macrovascular complications, alcoholism, and eGFR < 30 mL/min/1.73 m2 were applied, the sensitivity and specificity were 100% and 77.8% for Model 1 and 75.0% and 72.0% for Model 2, respectively. The diagnostic accuracy measures of the CSS for Model 1 were found to be highly accurate or have the potential to alter clinical decisions. Similarly, the diagnostic accuracy measures of CSS for Model 2 were found to provide useful information, despite them expanding to the orange and red zones. CONCLUSION: DKD was successfully identified using a novel integrated hemorheological index of CSS that satisfied both ACR and GFR criteria. Therefore, CSS may be useful for the additive diagnosis of DKD with GFR and uACR.