Machine Learning‐Assisted Analysis of Sublingual Microcirculatory Dysfunction for Early Cardiovascular Risk Evaluation and Cardiovascular‐Kidney‐Metabolic Syndrome Stage in Patients With Type 2 Diabetes Mellitus
Diabetes/Metabolism Research and Reviews2024Vol. 40(6), pp. e3835–e3835
Citations Over TimeTop 10% of 2024 papers
Abstract
Sublingual microcirculatory dysfunction is closely correlated with the risk of SA and CKM risk in T2DM patients. Sublingual microcirculation could be a novel tool for assessing the CKM syndrome stage in patients with T2DM.
Related Papers
- Observation of nailfold microcirculation in patients with peptic ulcer(1994)
- Effect of Tiaoneixiaobiwan on the Microcirculation of the Mice's Alaauris(2007)
- [Histomorphology of the microcirculation of the skin in physiological and pathological processes].(1975)
- [Effect of microcirculation on the morphofunctional state of skin].(2002)
- → Motion picture acquisition and analysis of microcirculation in septic model rats(2021)