Cardiometabolic index and modified cardiometabolic index are associated with early neurological deterioration in patients with acute ischemic stroke - Report - MDSpire
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Cardiometabolic index and modified cardiometabolic index are associated with early neurological deterioration in patients with acute ischemic stroke
Clinical Report: Association of Cardiometabolic Index with Neurological Decline in Stroke
Overview
This study investigates the association of cardiometabolic index (CMI) and modified cardiometabolic index (MCMI) with early neurological decline (END) in acute ischemic stroke (AIS) patients. Elevated CMI and MCMI are identified as independent risk factors for END, suggesting their potential utility in early risk stratification.
Background
Acute ischemic stroke (AIS) is a leading cause of morbidity and mortality, with early neurological decline (END) significantly impacting patient outcomes. Identifying reliable markers for predicting END is crucial for improving clinical management and patient prognosis. The cardiometabolic index (CMI) and modified cardiometabolic index (MCMI) have emerged as potential indicators of metabolic dysregulation associated with stroke risk.
Data Highlights
Measure
END Cohort
Non-END Cohort
p-value
CMI
Higher
Lower
< 0.001
MCMI
Higher
Lower
< 0.001
Key Findings
123 patients experienced early neurological decline (END) during hospitalization.
Both CMI and MCMI levels were significantly higher in the END cohort compared to the non-END cohort (p < 0.001).
Multivariate logistic regression confirmed CMI and MCMI as independent risk factors for END (all p < 0.05).
Subgroup analyses showed consistent associations across various populations (all p for interaction > 0.05).
Nonlinear relationships between CMI, MCMI, and END were identified (p for nonlinear = 0.048 for CMI; p < 0.001 for MCMI).
The areas under the curves for CMI and MCMI were 0.643 and 0.665, respectively.
Clinical Implications
The findings suggest that CMI and MCMI can serve as valuable tools for early risk stratification in AIS patients. Clinicians may consider incorporating these indices into routine assessments to identify patients at higher risk for neurological decline and tailor interventions accordingly.
Conclusion
This study highlights the importance of CMI and MCMI as independent predictors of early neurological decline in AIS patients, potentially guiding early clinical decision-making and management strategies.
For years, chronic stroke patients heard familiar feedback regarding their ability to regain strength and mobility after ischemic strokes caused upper-extremity deficits.
