Could the systemic inflammatory response index be a marker for the non- dipper pattern in newly diagnosed hypertensive patients?

Author:

Kaplangoray Mustafa1,Toprak Kenan2,Caglayan Cuneyt1,Deveci Edhem3,Celik Enes1,Uyan Umut4,Aydın Cihan5

Affiliation:

1. Bilecik Şeyh Edebali University

2. Harran University Faculty of Medicine

3. University of Health Sciences Mehmet Akif İnan Research and Training Hospital

4. Department of Cardiology, Republic of Turkey Ministry of Health Ödemiş State Hospital

5. Tekirdag Namık Kemal University

Abstract

Abstract Background The Systemic Inflammatory Response Index (SIRI),has been shown to be associated with prognosis in coronary artery disease (CAD), heart failure (HF), and acute myocardial infarction.This study investigated the relationship between SIRI and non-dipper hypertension. Methods The study retrospectively included a total of 254 naive, newly diagnosed hypertensive individuals based on ambulatory blood pressure monitoring (ABPM),comprising 166 dippers (DHT) and 88 non-dippers (NDHT).The SIRI value of all patients was calculated based on neutrophil, monocyte, and lymphocyte counts. Results The study population's average age was 50.7 ± 9.4, and the male ratio was found to be 68.5%. Compared to DHT, patients in the NDHT group were found to have higher SIRI, neutrophil-lymphocyte Ratio (NLR), platelet-lymphocyte ratio (PLR), C-reactive protein (CRP), and neutrophil count, while high-density lipoprotein cholesterol (HDL-C) and lymphocyte count were lower (p < 0.05).The left ventricular mass index (LVMI) was found to be higher in the NDHT group (p < 0.05).Multivariate logistic regression analysis showed that SIRI, LVMI, and HDL-C were independent predictor factors for NDHT.ROC curve analysis determined the optimal SIRI cut-off value for predicting NDHT diagnosis to be 2.41 (sensitivity 69.3%, specificity 64.5%, area under the receiver operating characteristic curve, 0.743; p < 0.001).When the AUC values obtained for SIRI, NLR, PLR, HDL-C, and LVMI parameters in the ROC curve analysis were compared pairwise, it was shown that SIRI's discriminative capacity in predicting NDHT was superior to all other indices. Conclusion SIRI is an independent and significant predictor factor for NDHT and is superior in predicting NDHT diagnosis compared to HDL-C, LVMI, NLR, and PLR.

Publisher

Research Square Platform LLC

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