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Bioelectrical impedance vector analysis is different according to the comorbidity burden in post-acute myocardial
Marcia M G D Lopes1,2, Iasmin M Sousa3, Sandra Azevedo Queiroz4
1Department of Nutrition, Center for Health Sciences, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Insights
Bioelectrical impedance vector analysis (BIVA) shows differences in patients after acute myocardial infarction (AMI) based on comorbidity burden. These findings suggest BIVA can help monitor nutrition status and guide preventive care in post-AMI patients.
Area of Science:
- Cardiology
- Nutrition Science
- Biomedical Engineering
Background:
- Increasing comorbidity burden in acute myocardial infarction (AMI) patients due to aging populations.
- Nutrition status as a potential predictor of clinical outcomes in post-AMI patients.
- Need to investigate the link between comorbidity and nutritional status indicators.
Purpose of the Study:
- To explore the relationship between comorbidity burden and bioelectrical impedance vector analysis (BIVA) characteristics in patients following an AMI.
- To identify potential nutritional markers associated with comorbidities in this patient group.
Main Methods:
- Prospective observational cohort study of adult AMI patients.
- Assessment of comorbidities using the Charlson Comorbidity Index (CCI) adjusted for age.
- Evaluation of anthropometric and BIVA characteristics post-hemodynamic stabilization.
- Follow-up until hospital discharge to observe length of stay.
Main Results:
- 184 patients included; common comorbidities: dyslipidemia, hypertension, type 2 diabetes.
- Higher CCI (≥3) associated with female sex and older age.
- Significant BIVA differences observed across sex, age, and CCI.
- Longer BIVA vectors noted in females, older adults, and those with higher CCI (≥3).
Conclusions:
- A correlation between BIVA and CCI in post-AMI patients was identified.
- BIVA may reflect disease-related differences and aid in nutritional status assessment.
- Healthcare professionals can utilize BIVA for monitoring and implementing preventive nutrition care in post-AMI patients.
Background:
The prevalence of a high comorbidity burden in patients who suffered an acute myocardial infarction (AMI) is increasing with the aging population, and the nutrition status also may be a predictor of clinical outcomes for these patients. This study aimed to investigate the relationship between the comorbidity burden and the characteristics of the bioelectrical impedance vector analysis (BIVA) in patients post-AMI.
Methods:
This prospective observational cohort study was conducted with adult patients who were hospitalized with AMI. Pre-existing comorbidities were assessed by the Charlson comorbidity index (CCI) adjusted by age, and anthropometric and BIVA characteristics were evaluated after the hemodynamic stabilization. All patients were followed-up until hospital discharge, and their length of stay was observed.
Results:
A total of 184 patients (75% were males; mean age, 60.2 ± 12.3 years) were included. The most common comorbidities were dyslipidemia (73.9%), hypertension (62%), and type 2 diabetes (34.2%). A higher CCI (≥3) was associated with sex (P = 0.008) and age (P < 0.001). Regarding BIVA, statistically significant differences were detected between sex (P < 0.001), age (P < 0.001), and CCI (P = 0.003), with longer vectors in female, older adults, and those with CCI ≥ 3.
Conclusion:
Finding a relationship between BIVA and CCI suggests the first identified coherent differences, potentially correlated with diseases, representing a first contribution to support this type of assessment. Therefore, with BIVA, healthcare professionals may monitor abnormalities and adopt preventive nutrition care measures on patients post-AMI to improve their clinical status.
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