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BAN Score and Distinct Early Cardiometabolic Risk Signatures in a Non-Diabetic Population: A Cross-Sectional Analysis
Yazeed Alshuweishi1, Noha A Alshuwayer2, Lama Izziddeen3
1Chair of Medical and Molecular Genetics Research, Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 12372, Saudi Arabia.
Insights
The BMI-albumin-neutrophil-to-lymphocyte (BAN) score is linked to early cardiometabolic risks like high blood pressure and altered blood sugar in non-diabetic adults. This score may help identify individuals at risk for developing cardiovascular and metabolic conditions.
Area of Science:
- Cardiology
- Metabolic Health
- Biomarkers
Background:
- The BMI-albumin-neutrophil-to-lymphocyte (BAN) score combines adiposity, nutritional status, and inflammation.
- Its utility in detecting early cardiometabolic changes in non-diabetic individuals is not well-established.
Purpose of the Study:
- To investigate the association between the BAN score and vascular, glycemic, and lipid markers.
- To assess the BAN score's potential as an early indicator of cardiometabolic risk.
Main Methods:
- Retrospective cross-sectional study of 162 non-diabetic adults.
- Analysis included Spearman's correlation, ROC analysis, and adjusted regression models.
- Vascular (SBP, PP), glycemic (HbA1c), and lipid parameters were assessed.
Main Results:
- Higher BAN scores correlated with increased systolic blood pressure (SBP), pulse pressure (PP), and HbA1c.
- Adjusted models showed BAN score increases were associated with higher SBP, PP, and HbA1c.
- The BAN score demonstrated moderate discriminative ability for hypertension and elevated HbA1c.
Conclusions:
- The BAN score is associated with early cardiometabolic risk factors, including elevated SBP, widened PP, and glycemic alterations.
- Further research is needed to elucidate the BAN score's underlying mechanisms and its potential for preventive strategies.
Abstract:
Background: The BMI-albumin-neutrophil-to-lymphocyte (BAN) score integrates adiposity, nutritional status, and systemic inflammation, but its role in detecting early cardiometabolic changes remains unclear. This study examined associations of the BAN score with vascular, glycemic, and lipid markers in non-diabetic adults. Methods: This retrospective cross-sectional study included 162 non-diabetic subjects. Associations between the BAN score and vascular, glycemic, and lipid parameters were examined using Spearman's correlation, ROC analysis, and regression models adjusted for age, sex, smoking status, and medication use. Results: Patients had a median age of 37 years, 72.8% were female, with median BMI 33 kg/m2, albumin 4.4 g/dL, and NLR 1.3. Higher BAN scores correlated with systolic blood pressure (SBP) (r = 0.23, p < 0.01), pulse pressure (PP) (r = 0.26, p < 0.001), and HbA1c (r = 0.22, p < 0.01). Compared with the lowest tertile, higher BAN tertiles showed significantly elevated SBP, PP, and HbA1c (p < 0.01). In adjusted models, each one-unit increase in BAN score was associated with higher SBP (β = 1.01, p = 0.037), PP (β = 0.66, p = 0.006), and HbA1c (β = 1.85, p = 0.008). No associations were found with the atherogenic index of plasma (AIP), Castelli risk index I (CRI-I), or Castelli risk index II (CRI-II). ROC analysis showed moderate discriminative ability for hypertension (AUC = 0.66) and HbA1c (AUC = 0.65). Conclusions: The BAN score is associated with a distinctive early cardiometabolic risk, particularly elevated SBP, widened PP, and early glycemic alterations. Further research should define the BAN score's mechanisms and preventive utility.
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