DIAGNOSTIC ALGORITHM FOR VERIFICATION AND RISK STRATIFICATION OF PATIENTS WITH MICROVASCULAR ANGINA BASED ON IMMUNOLOGICAL AND BIOCHEMICAL INDICATORS

Authors

  • Kakharov Ismatillo Doctor of Philosophy (PhD) in Medical Sciences Independent researcher at the Bukhara State Medical Institute named after Abu Ali ibn Sino

Abstract

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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References

1. Ong P., Safdar B. et al. Microvascular angina: diagnosis and management. // Eur. Heart J. – 2022. – Vol. 43. – P. 1287-1298.

2. Jespersen L., Hvelplund A. et al. Stable angina pectoris with no obstructive coronary artery disease is associated with increased risks of cardiovascular events. // Eur. Heart J. – 2012. – Vol. 33. – P. 734-744.

3. Ford T.J., Stanley B. et al. Stratified medical therapy using invasive coronary function testing in angina. // JACC. – 2018. – Vol. 72. – P. 2841-2855.

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Published

2026-06-07

How to Cite

DIAGNOSTIC ALGORITHM FOR VERIFICATION AND RISK STRATIFICATION OF PATIENTS WITH MICROVASCULAR ANGINA BASED ON IMMUNOLOGICAL AND BIOCHEMICAL INDICATORS. (2026). International Conference on Multidisciplinary Science, 4(6), 22-23. https://mjstjournal.com/index.php/icms/article/view/7659