Introduction: Stroke, a leading cause of death and disability worldwide, is primarily ischemic and linked to hypertension. Hypertension, characterized by systemic chronic inflammation, significantly increases stroke risk. This study explores the association of novel systemic inflammatory markers (SII, PIV, SIRI) with stroke prevalence in hypertensive U.S. adults using NHANES data.
Methods: We analyzed data from hypertensive participants in the NHANES 1999-2020 survey, excluding those under 20, pregnant, or with missing data, resulting in 18,360 subjects. Systemic inflammatory markers (SII, PIV, SIRI) were calculated from blood counts. Hypertension and stroke status were determined by self-report and clinical measurements. Covariates included sociodemographic, lifestyle, and medical history factors. Weighted statistical analyses and multivariate logistic regression models were used to explore associations, with adjustments for various covariates. Ethical approval was obtained from the NCHS Ethics Review Board.
Results: In a cohort of 18,360 hypertensive individuals (mean age 56.652 years), 7.25% had a stroke. Stroke patients were older, had lower PIR, and were more likely to be female, single, less educated, smokers, non-drinkers, physically inactive, and have diabetes and CHD. Multivariate logistic regression showed that SII was not significantly associated with stroke. However, PIV and SIRI were positively associated with stroke prevalence. Each unit increase in lnPIV increased stroke odds by 14% (OR = 1.140, = 0.0022), and lnSIRI by 20.6% (OR = 1.206, = 0.0144). RCS analyses confirmed J-shaped associations for lnPIV and lnSIRI with stroke. Stratified analyses identified gender and smoking as significant effect modifiers. Smoking was significantly associated with elevated PIV, SIRI, and SII levels, especially in current smokers.
Conclusion: Elevated PIV and SIRI levels significantly increase stroke prevalence in hypertensive individuals, notably among males and smokers. A predictive model with PIV, SIRI, and sociodemographic factors offers strong clinical utility.
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http://dx.doi.org/10.3389/fneur.2024.1417863 | DOI Listing |
Am J Reprod Immunol
January 2025
Department of Obstetrics and Gynecology, Division of Perinatology, Ankara Etlik City Hospital, Ankara, Turkey.
Problem: Fetal growth restriction (FGR) is a critical pregnancy complication linked to increased perinatal morbidity and mortality. Inflammation plays a key role in FGR's pathophysiology, and systemic inflammation markers may serve as predictors. This study evaluates the role of various inflammation indices; systemic immune-inflammation index (SII), systemic inflammatory response index (SIRI), pan-immune-inflammation value (PIV), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), lymphocyte-to-platelet ratio (LMR), monocyte-to-platelet ratio (MPR), aggregate systemic inflammation index (AISI), systemic coagulation inflammation index (SCII), and immature granulocyte percentage (IG%) in predicting FGR.
View Article and Find Full Text PDFCancers (Basel)
December 2024
Division of Medical Oncology, Department of Internal Medicine, Medical Faculty, Ege University, 35100 Izmir, Turkey.
Although immune checkpoint inhibitors (ICIs) have significantly improved cancer treatment, a substantial proportion of patients do not benefit from these therapies, revealing the crucial need to identify reliable biomarkers. Inflammatory markers, such as the neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), pan-immune inflammation value (PIV), systemic inflammation response index (SIRI), lactate dehydrogenase (LDH), and C-reactive protein (CRP), may provide insights into treatment outcomes. : This study aimed to evaluate the prognostic value of multiple inflammatory markers in patients with cancer receiving ICI-based therapies.
View Article and Find Full Text PDFJ Clin Med
December 2024
Department of Obstetrics and Gynecology, Health Sciences University Etlik Zubeyde Hanim Maternity, Teaching and Research Hospital, 06010 Ankara, Turkey.
: Postmenopausal osteoporosis is characterized by impaired bone metabolism, inflammation, and nutritional deficiencies. This study aimed to evaluate the potential of inflammatory and nutritional markers in identifying decreased bone mineral density (BMD) in postmenopausal women. : This cross-sectional study retrospectively analyzed postmenopausal women from January 2018 and December 2023.
View Article and Find Full Text PDFFront Cardiovasc Med
December 2024
Department of Cardiovascular Medicine, Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Objective: This study compared the value of different systemic immune-inflammatory markers for evaluating coronary collateralization (CC) in patients with type 2 diabetes mellitus (T2DM) and chronic total occlusion (CTO).
Methods: Systemic immune-inflammation index (SII), systemic inflammation response index (SIRI) and pan-immune-inflammation value (PIV) were calculated at admission in 1409 T2DM patients with CTO. The degree of coronary collaterals was estimated using the Rentrop scoring system and categorized into poor (Rentrop score 0 or 1) or good (Rentrop score 2 or 3) CC.
Int Ophthalmol
December 2024
Department of Ophthalmology, Beypazari State Hospital, Ankara, Turkey.
Purpose: To investigate the role of hematological and atherogenic biomarkers in evaluating systemic inflammation and cardiovascular risk in patients with pseudoexfoliation syndrome.
Methods: This retrospective study included 200 patients, 90 with pseudoexfoliation (PEX) syndrome (Group 1) and 110 healthy controls (Group 2). Twelve-hour fasting blood samples were collected to measure complete blood count, neutrophil/lymphocyte ratio (NLR), monocyte/lymphocyte ratio (MLR), platelet/lymphocyte ratio (PLR), systemic immune-inflammation index (SII) (neutrophil x platelet/lymphocyte), systemic inflammatory response index (SIRI) (neutrophil x monocyte/lymphocyte), pan-immune inflammation value (PIV) (neutrophil x platelet x monocyte/lymphocyte), C-reactive protein (CRP), uric acid, glucose, triglycerides (TG), total cholesterol, HDL, LDL, non-HDL, and triglyceride-glucose (TyG) index (Ln (TG [mg/dL] × glucose [mg/dL]/2)).
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