DIAGNOSTIC ALGORITHM FOR VERIFICATION AND RISK STRATIFICATION OF PATIENTS WITH MICROVASCULAR ANGINA BASED ON IMMUNOLOGICAL AND BIOCHEMICAL INDICATORS
Ismatillo KakharovDoctor of Philosophy (PhD) in Medical Sciences Independent researcher at the Bukhara State Medical Institute named after Abu Ali ibn Sino
Zenodo (CERN European Organization for Nuclear Research)repository2026
ABI
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The development of a diagnostic algorithm based on immunological and biochemical markers helps improve the accuracy of microvascular angina diagnosis, reducing diagnostic errors and ineffective invasive interventions. Early risk stratification enables a personalized approach to diagnosis and treatment, optimizes the use of medical resources, and improves the prognosis for patients with this condition. Developing such an algorithm is an important task in modern cardiology.
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