RESUMEN
Ischemic stroke is a leading cause of mortality and disability. The relationships of heart rate variability (HRV) and stroke-related factors with mortality and functional outcome are complex and not fully understood. Understanding these relationships is crucial for providing better insights regarding ischemic stroke prognosis. The objective of this study is to examine the relationship between HRV, neurological function, and clinical factors with mortality and 3-month behavioral functional outcome in ischemic stroke. We prospectively collected the HRV data and monitored the behavioral functional outcome of patients with ischemic stroke. The behavioral functional outcome was represented by a modified Rankin Scale (mRS) score. This study population consisted of 58 ischemic stroke patients (56.9% male; mean age 70) with favorable (mRS score ≤ 2) and unfavorable (mRS score ≥ 3) outcome. The analysis indicated that the median of the mean RR interval (RR mean) showed no statistical difference between mortality groups. Conversely, the median of the RR mean had significant association with unfavorable outcome (OR = 0.989, p = 0.007). Lower hemoglobin levels had significant association with unfavorable outcome (OR = 0.411, p = 0.010). Higher National Institute of Health Stroke Scale (NIHSS) score at admission had significant association with unfavorable outcome (OR = 1.396, p = 0.002). In contrast, age, stroke history, NIHSS score at admission, and hemoglobin showed no significant association with mortality in ischemic stroke. These results imply that HRV, as indicated by the median of RR mean, alongside specific clinical factors and neurological function at admission (measured by NIHSS score), may serve as potential prognostic indicators for 3-month behavioral functional outcome in ischemic stroke.
RESUMEN
The objectives of this study were to develop the Self-Awareness of Falls in Elderly (SAFE) scale and test its reliability and validity among elderly inpatients. A cross-sectional study design and convenience sampling were used to test the validity and reliability of the SAFE scale. Explanatory factor analysis and confirmatory factor analysis yielded an acceptable goodness of model fit, confirming the 21 items in the SAFE scale that were distributed among four factors: awareness of activity safety and environment, awareness of physical functions, awareness of medication, and awareness of cognitive behavior. The values of interrater reliability and Cronbach's alpha were at least .70, indicating that reliability of the SAFE scale was acceptable. The SAFE scale is the first instrument to measure self-awareness of fall risk among high-risk groups. Further management and fall prevention can then be designed to reduce the incidence of falls among elderly people in clinical care.