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Updated: Mar 29, 2026

On-Chip Endothelial Inflammatory Phenotyping
Published on: July 21, 2012
The Non-Dipping Blood Pressure Phenotype Is Independently Linked to Systemic Inflammation and Atherogenic Burden
Mert Deniz Savcilioglu1, Kemal Ozan Lule2, Yunus Cakalli1
1Cardiology Department, Faculty of Medicine, Gaziantep University, Gaziantep 27410, Türkiye.
None:
Background: A non-dipping blood pressure pattern, defined as an insufficient nocturnal decline in systolic blood pressure, is associated with increased cardiovascular risk and target organ damage. While metabolic abnormalities contribute to circadian blood pressure dysregulation, the independent roles of systemic inflammation and atherogenic burden in individuals without overt metabolic disease remain insufficiently characterized. We aimed to evaluate the associations of systemic inflammatory response index (SIRI) and atherogenic index of plasma (AIP) with nocturnal blood pressure pattern. Methods: This retrospective cross-sectional study included 469 adults who underwent 24 h ambulatory blood pressure monitoring (ABPM) at a single tertiary cardiology outpatient clinic. Participants were classified as dippers (≥10% nocturnal systolic BP decline) or non-dippers (<10%). Hierarchical logistic regression models were constructed sequentially: Model 1 (age, sex), Model 2 (Model 1 + AIP, fasting glucose), and Model 3 (Model 2 + SIRI). Discriminative performance was assessed using receiver operating characteristic (ROC) analysis. Results: Non-dipping was present in 62.5% of participants. LDL cholesterol, AIP, and SIRI were higher in non-dippers, whereas CRP was higher in dippers. In hierarchical regression, AIP was independently associated with non-dipping in Model 2 (OR = 3.672, p = 0.003). After addition of SIRI, SIRI remained independently associated (OR = 1.913, p < 0.001), and model explanatory power increased (Nagelkerke R2 = 0.104). AIP, fasting glucose (inverse association), and age also remained significant. Individual discrimination was modest for SIRI (AUC = 0.572) and AIP (AUC = 0.576), while the multivariable model achieved an area under the curve (AUC) of 0.660. Non-dipping prevalence increased across SIRI quartiles (p for trend = 0.009). Conclusions: Both inflammatory and atherogenic burden were associated with a non-dipping blood pressure pattern in individuals without overt metabolic disease. Although the discriminative capacity was modest, combined inflammatory-metabolic assessment may provide additional biological insight into circadian blood pressure dysregulation.
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