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Association Between Metabolic and Atherogenic Indices and Circadian Blood Pressure Patterns in White-Coat
Arzu Akgul1, Cigdem Ikhlef1, Çağatay Tunca2
1Division of Nephrology, Department of Internal Medicine, Ankara Etlik City Hospital, 06710 Ankara, Turkey.
Insights
Metabolic biomarkers like the triglyceride-glucose (TyG) index and uric acid are linked to non-dipper patterns in white-coat hypertension. Higher levels of these markers indicate a greater risk of nighttime blood pressure issues.
Area of Science:
- Cardiology
- Metabolic Syndrome
- Hypertension Research
Background:
- Cardiovascular event risk increases with insufficient nighttime blood pressure reduction in hypertensive patients.
- Non-dipper patterns, characterized by a lack of nocturnal blood pressure dip, are associated with adverse cardiovascular outcomes.
- White-coat hypertension requires understanding factors contributing to circadian blood pressure dysregulation.
Purpose of the Study:
- To investigate the association between metabolic and inflammatory biomarkers and the non-dipper pattern in patients with newly diagnosed white-coat hypertension.
- To identify specific biomarkers that can predict the non-dipper status in this patient population.
Main Methods:
- A cohort of 244 newly diagnosed white-coat hypertension patients was studied.
- Ambulatory blood pressure monitoring classified patients into dipper (n=86) and non-dipper (n=158) groups.
- Metabolic markers (triglyceride-glucose index, atherogenic index of plasma, uric acid, BMI) and inflammatory markers (neutrophil/lymphocyte ratio, platelet/lymphocyte ratio, monocyte/lymphocyte ratio) were assessed.
Main Results:
- Non-dipper patients exhibited significantly higher levels of uric acid, triglyceride-glucose (TyG) index, atherogenic index of plasma (AIP), and body mass index (BMI) compared to dippers.
- No significant differences were observed in inflammatory markers between the groups.
- Uric acid demonstrated the highest discriminative ability for non-dipper status (AUC=0.722).
- Elevated uric acid and TyG index were independently associated with an increased likelihood of non-dipper status.
Conclusions:
- Metabolic biomarkers, including the TyG index, uric acid, BMI, and AIP, are elevated in white-coat hypertension patients with a non-dipper pattern.
- The TyG index, uric acid levels, and BMI are independently associated with the non-dipper pattern.
- These metabolic biomarkers may aid in identifying individuals at higher risk for circadian blood pressure dysregulation and associated cardiovascular events.
Abstract:
Background and Objectives: The risk of cardiovascular events rises when hypertensive patients fail to achieve sufficient blood pressure reduction during nighttime hours. This study examined the association between metabolic and inflammatory biomarkers and non-dipper patterns in patients with white-coat hypertension. Materials and Methods: A total of two hundred and forty-four (244) patients with newly diagnosed white-coat hypertension were included in the study. The study used ambulatory blood pressure monitoring to classify patients as dippers (n = 86) and non-dippers (n = 158). The study evaluated metabolic markers through triglyceride-glucose (TyG) index, atherogenic index of plasma (AIP) and uric acid measurements against inflammatory markers including neutrophil/lymphocyte ratio, platelet/lymphocyte ratio and monocyte/lymphocyte ratio. Results: The non-dipper group showed higher levels of uric acid (6.42 mg/dL vs. 5.65 mg/dL; p < 0.001), TyG index (8.82 vs. 8.51; p < 0.001), AIP (0.49 vs. 0.37 **; ** p < 0.001) and body mass index (26.0 kg/m2 vs. 24.1 kg/m2; p < 0.001) when compared to the dipper group. The inflammatory markers showed no significant variation between the groups. Uric acid showed the highest discriminative ability (AUC = 0.722). The research showed that each one mg/dL increase in uric acid levels was associated with 89% higher odds of non-dipper status (OR = 1.892; p = 0.002). A one-unit increase in the TyG index was associated with approximately 2.5-fold-higher odds. Conclusions: Levels of TyG index, uric acid, BMI and AIP were higher in patients with the non-dipper pattern compared to the dipper patients. The TyG index, uric acid levels, and BMI were independently associated with the non-dipper pattern in white-coat hypertension patients. These findings suggest that metabolic biomarkers may help identify individuals at higher risk for circadian blood pressure dysregulation.
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