The relationship between musekna index and stroke severity in patients with acute ischemic stroke

Abstract

Acute stroke is an important cause of morbidity and mortality. Prediction tools are especially helpful in this situation in guiding for medical treatment decision. It is found that prognostic index is predictor of mortality and heart failure in patients with ischemic heart failure implanted with an ICD, the prognostic index (PI) being built according to the formula: 120 - age + mean 24 h systolic blood pressure - (creatinine * 10). However, a mean 24 h systolic blood pressure calculation is not clinically easy. Therefore, we propose a new modified prognostic index (Musekna Index). Musekna Index (MI) was calculated as “120 - age + mean arterial pressure - (creatinine * 10)”. In this study, we aimed to investigate the relationship between MI and stroke severity in patients with acute ischemic stroke. This cross-sectional study included 162 patients (males, 64; females, 98; 67 ± 15 years) with acute ischemic stroke. Patients were divided into two groups based on the calculated National Institutes of Health Stroke Scale (NIHSS) score (Group 1, NIHSS score < 16; Group 2, NIHSS score ≥ 16). Demographic, clinical, and laboratory data for all patients were collected. Musekna Index (Modified Prognostic Index) was calculated as “120 - age + mean arterial pressure - (creatinine * 10)”. MI index was calculated admission to the neurology care unit. Echocardiographic examinations were performed using the parasternal longitudinal axis and apical 4-chamber windows in accordance with the recommendations of the American Echocardiography Committee. There were no significant differences among the demographic parameters of patients. MI was significantly higher in Group 1 patients than in Group 2 patients (139±15.6 vs 132±13.7, p=0.028). Our results suggest that MI is associated with stroke severity on admission in patients with acute ischemic stroke. 

Keywords

• ischemic stroke,mortality,Musekna index,stroke severity

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