期刊
NUTRIENTS
卷 14, 期 24, 页码 -出版社
MDPI
DOI: 10.3390/nu14245320
关键词
nutrition biomarkers; malnutrition; heart rate variability; autonomic dysfunction; stroke
This study aimed to examine the relationship between nutritional biomarkers and heart rate variability (HRV) parameters in stroke patients. The results showed that HRV parameters were significantly lower in the nutritional biomarker-deficient groups. Serum albumin, prealbumin, and transferrin levels were associated with autonomic nervous system (ANS) function, as measured by HRV, and their deficiency may be a predictive factor for the severity of ANS dysfunction in stroke patients.
Malnutrition and autonomic dysfunction are associated with poor outcomes, mortality, and psychological problems after stroke. Relevant laboratory biomarkers include serum albumin, prealbumin, and transferrin. Heart rate variability (HRV), a noninvasive measurement, can objectively measure autonomic nervous system (ANS) function. The relationship between HRV and nutritional biomarkers in stroke patients has not been studied. This study aimed to examine the relationship between nutritional biomarkers and HRV parameters in stroke patients. We retrospectively recruited 426 patients with subacute stroke who were examined for nutritional biomarkers, such as serum albumin, prealbumin, and transferrin, and underwent 24 h ambulatory Holter electrocardiography. Patients were divided into groups according to their nutritional biomarker status. Differences in HRV parameters between nutritional biomarker-deficient and normal groups were assessed. Pearson's correlation and multiple regression analyses were used to verify the relationship between HRV parameters and nutritional biomarkers. HRV parameters were significantly lower in the nutritional biomarker-deficient groups. In addition, there was a significant association between HRV parameters and nutritional biomarkers. Serum albumin, prealbumin, and transferrin levels were associated with ANS function, as measured by HRV, and their deficiency may be a predictive factor for the severity of ANS dysfunction in stroke patients.
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