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These studies suggest that tongue diagnosis, including observing the tongue deviation angle, is important for identifying and assessing stroke patients.
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One of the most significant indicators of a stroke is tongue deviation. Research has shown that the angle of tongue deviation can be quantified to effectively identify stroke patients. In a study, the mean tongue deviation angles for stroke, transient ischemic attack (TIA), and normal groups were 6.9±3.1, 4.9±2.1, and 1.4±0.8 degrees, respectively. The significant differences between these groups suggest that a tongue deviation angle greater than 3.2 degrees can serve as a reliable early warning sign of a stroke.
Traditional Korean Medicine (TKM) and Traditional Chinese Medicine (TCM) both emphasize the importance of tongue appearance in diagnosing stroke. Specific tongue appearances such as mirror-like, spotted, and bluish-purple tongues have shown high interobserver agreement among clinicians, indicating their reliability as diagnostic indicators. However, the consistency in identifying tongue color and fur quality was relatively low, suggesting a need for more standardized criteria and training.
In high-risk stroke groups, certain tongue and pulse characteristics are frequently observed. Common tongue features include white moss, thin moss, dark tongue, and red tongue. These indicators, along with symptoms like dizziness and irritability, are more prevalent in women and the elderly. The presence of these signs can help in the early identification and prevention of stroke.
Tongue diagnosis is a valuable tool in both predicting and understanding the progression and prognosis of stroke. Different tongue manifestations can indicate various pathogenesis and clinical outcomes. For instance, a dark or red tongue may reflect underlying conditions such as wind-fire or phlegm-stasis, which are common in stroke patients. This diagnostic method aids in tailoring preventive health care and treatment strategies.
Tongue indicators, including deviation angle and specific appearances, play a crucial role in the early detection and diagnosis of stroke. Quantifying tongue deviation and recognizing characteristic tongue features can significantly enhance the accuracy of stroke diagnosis and prevention. Further standardization and training in tongue diagnosis are essential to improve its reliability and clinical application.
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