Prognostic Impact of Malnutrition Evaluated via Bioelectrical Impedance Vector Analysis (BIVA) in Acute Ischemic Stroke: Findings from an Inverse Probability Weighting Analysis

<b>Background.</b> The association between malnutrition and poor outcomes in stroke patients has, to date, been evaluated using composite scores derived from laboratory measurements. However, Bioelectrical Impedance Analysis (BIA) and its advanced application, Bioelectrical Impedance Vector Analysis (BIVA), offer a non-invasive, cost-efficient, and rapid alternative. These methods enable precise assessment of body composition, nutritional status, and hydration levels, making them valuable tools in the clinical evaluation of stroke patients. <b>Objective.</b> This study aimed to compare the ordinal distribution of modified Rankin Scale (mRS) scores at 90 days following an acute ischemic stroke, stratifying patients based on their nutritional status at the time of Stroke Unit admission, as determined by the Bioelectrical Impedance Vector Analysis (BIVA) malnutrition parameter. <b>Methods.</b> We conducted a single-centre prospective observational study on all consecutive patients admitted for acute ischemic stroke to our Stroke Unit between 1 April 2024, and 30 September 2024. We applied the IPW (Inverse Probability Weighting) statistical technique and ordinal logistic regression to compare mRS scores in malnourished and non-malnourished patients. <b>Results.</b> Overall, our study included 195 patients with ischemic stroke assessed using BIVA. Of these, 37 patients (19%) were malnourished. After IPW, we found that malnourished patients had significantly lower rates of favorable 90-day functional outcomes (cOR 3.34, 95% CI 1.74-6.41; <i>p</i> = 0.001). Even after accounting for relevant covariates, malnutrition remained an independent predictor of unfavorable outcomes (acOR 2.79, 95% CI 1.37-5.70; <i>p</i> = 0.005), along with NIHSS score at admission (acOR 1.19, 95% CI 1.11-1.28; <i>p</i> < 0.001), intravenous thrombolysis (acOR 0.28, 95% CI 0.15-0.52; <i>p</i> < 0.001), absolute lymphocyte count (cOR 1.01, 95% CI 1.00-1.02; <i>p</i> = 0.027), and albumin concentration (cOR 0.82, 95% CI 0.75-0.89; <i>p</i> < 0.001). <b>Conclusions.</b> Malnutrition, assessed through Bioelectrical Impedance Vector Analysis (BIVA) at the time of admission to the Stroke Unit, is associated with worse clinical outcomes at 90 days following the ischemic cerebrovascular event.

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Journal
Nutrients
Published
2025-03-06
DOI
https://doi.org/10.3390/nu17050919
Citations
3
Primary Topic
Body Composition Measurement Techniques
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article
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3.49
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article

Prognostic Impact of Malnutrition Evaluated via Bioelectrical Impedance Vector Analysis (BIVA) in Acute Ischemic Stroke: Findings from an Inverse Probability Weighting Analysis

Lucio D’Anna, Simone Dal Bello, Mariarosaria Valente, Yan Tereshko et al.
3 citations
Nutrients
Body Composition Measurement Techniques
3.49
article

Prognostic Impact of Malnutrition Evaluated via Bioelectrical Impedance Vector Analysis (BIVA) in Acute Ischemic Stroke: Findings from an Inverse Probability Weighting Analysis

Lucio D’Anna, Simone Dal Bello, Mariarosaria Valente, Yan Tereshko, Giovanni Merlino, Laura Ceccarelli, Gian Luigi Gigli
article en
3 citations

Abstract

<b>Background.</b> The association between malnutrition and poor outcomes in stroke patients has, to date, been evaluated using composite scores derived from laboratory measurements. However, Bioelectrical Impedance Analysis (BIA) and its advanced application, Bioelectrical Impedance Vector Analysis (BIVA), offer a non-invasive, cost-efficient, and rapid alternative. These methods enable precise assessment of body composition, nutritional status, and hydration levels, making them valuable tools in the clinical evaluation of stroke patients. <b>Objective.</b> This study aimed to compare the ordinal distribution of modified Rankin Scale (mRS) scores at 90 days following an acute ischemic stroke, stratifying patients based on their nutritional status at the time of Stroke Unit admission, as determined by the Bioelectrical Impedance Vector Analysis (BIVA) malnutrition parameter. <b>Methods.</b> We conducted a single-centre prospective observational study on all consecutive patients admitted for acute ischemic stroke to our Stroke Unit between 1 April 2024, and 30 September 2024. We applied the IPW (Inverse Probability Weighting) statistical technique and ordinal logistic regression to compare mRS scores in malnourished and non-malnourished patients. <b>Results.</b> Overall, our study included 195 patients with ischemic stroke assessed using BIVA. Of these, 37 patients (19%) were malnourished. After IPW, we found that malnourished patients had significantly lower rates of favorable 90-day functional outcomes (cOR 3.34, 95% CI 1.74-6.41; <i>p</i> = 0.001). Even after accounting for relevant covariates, malnutrition remained an independent predictor of unfavorable outcomes (acOR 2.79, 95% CI 1.37-5.70; <i>p</i> = 0.005), along with NIHSS score at admission (acOR 1.19, 95% CI 1.11-1.28; <i>p</i> < 0.001), intravenous thrombolysis (acOR 0.28, 95% CI 0.15-0.52; <i>p</i> < 0.001), absolute lymphocyte count (cOR 1.01, 95% CI 1.00-1.02; <i>p</i> = 0.027), and albumin concentration (cOR 0.82, 95% CI 0.75-0.89; <i>p</i> < 0.001). <b>Conclusions.</b> Malnutrition, assessed through Bioelectrical Impedance Vector Analysis (BIVA) at the time of admission to the Stroke Unit, is associated with worse clinical outcomes at 90 days following the ischemic cerebrovascular event.

NutrientsVol. 17(5)
University of Udine (IT), Imperial College Healthcare NHS Trust (GB), Charing Cross Hospital (GB), Ospedale Santa Maria della Misericordia di Udine (IT), Imperial College London (GB)
Openalex Percentile: Top 9%
Body Composition Measurement Techniques
3.49
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