Predictive value of Cmmi-MHR combined with thromboelastography parameters in acute cerebral infarction

Area of Science:

• Neurology
• Cardiovascular Research
• Biomarker Discovery

Background:

• Cerebral infarction (stroke) is a leading cause of death and disability globally, with high mortality rates, especially in China.
• Effective prediction and management strategies for acute cerebral infarction are crucial to reduce morbidity and mortality.
• Current diagnostic tools may benefit from novel biomarkers and advanced imaging techniques.

Purpose of the Study:

• To investigate the predictive value of the Monocyte-to-high-density lipoprotein cholesterol ratio (MHR) in combination with thromboelastography parameters for acute cerebral infarction.
• To evaluate the efficacy of a novel high frame rate imaging technology in analyzing acute cerebral infarction.
• To explore new perspectives and methods for the diagnosis, treatment, and personalized management of cerebral infarction.

Main Methods:

• Analysis of the predictive value of MHR combined with thromboelastography parameters in patients with acute cerebral infarction.
• Utilized high frame rate imaging technology and analyzed its associated algorithms.
• Statistical analysis including odds ratios (OR) and P-trends to assess mortality risk within 90 days, adjusting for confounders like age, gender, and NIHSS score.

Main Results:

• High-density lipoprotein (HDL) showed a significant association with 90-day mortality (OR = 1.695%, P-trend = 0.049).
• No significant differences in 90-day mortality rates were observed for MHR or monocyte count, even after adjusting for confounders.
• The study highlighted potential predictive value in specific parameters, though overall MHR and monocyte count did not show significant predictive power independently.

Conclusions:

• The combination of Cmmi-MHR and thromboelastography parameters presents a novel approach for diagnosing and managing acute cerebral infarction.
• This integrated method offers potential for personalized treatment strategies in stroke care.
• Further research is warranted to fully elucidate the role of these combined markers in predicting stroke outcomes.