The Impact of Inflammatory Markers and Obesity in Chronic Venous Disease

Background: Chronic venous disease (CVD) represents a significant health challenge, particularly in obese individuals. This study focuses on the interplay between inflammation, obesity, and CVD, by analyzing the role of inflammatory markers in the disease progression. Methods: Clinical and paraclini...

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Bibliographic Details
Published in:Biomedicines Vol. 12; no. 11; p. 2524
Main Authors: Petrascu, Flavia-Medana, Matei, Sergiu-Ciprian, Margan, Mădălin-Marius, Ungureanu, Ana-Maria, Olteanu, Gheorghe-Emilian, Murariu, Marius-Sorin, Olariu, Sorin, Marian, Catalin
Format: Journal Article
Language:English
Published: Switzerland MDPI AG 01.11.2024
MDPI
Subjects:
Analysis
Angiogenesis
Blood tests
Body fat
Body mass index
C-reactive protein
Care and treatment
chronic venous disease
Compression therapy
Cytokines
Development and progression
Diagnosis
Disease
endothelial dysfunction
Endothelium
Fibrin
Fibrinogen
Hypoxia
Inflammation
Kinases
Laboratories
Leukocytes (neutrophilic)
Metabolism
microcirculatory damage
Neutrophils
Obesity
Pathology
Patients
Prediction models
Regression analysis
Risk groups
Serology
Statistical analysis
Therapeutic targets
Tumor necrosis factor-TNF
Ultrasonic imaging
Varicose veins
Weight control
Romania
United States > US
chronic venous disease
inflammation
endothelial dysfunction
microcirculatory damage
obesity
ISSN:2227-9059, 2227-9059
Online Access:Get full text
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Summary:Background: Chronic venous disease (CVD) represents a significant health challenge, particularly in obese individuals. This study focuses on the interplay between inflammation, obesity, and CVD, by analyzing the role of inflammatory markers in the disease progression. Methods: Clinical and paraclinical data of 619 patients hospitalized and treated in the Phlebology Department (1stSurgical Department, “Pius Brînzeu” Emergency County Hospital Timișoara, Romania) between 2018 and 2024 were analyzed. Results: The statistical analysis revealed that age, C-reactive protein (CRP), fibrinogen, and absolute neutrophil count (ANC) were key predictors of CVD progression. Specifically, elevated CRP and fibrinogen levels correlated strongly with increased CVD severity, particularly in patients with higher body-mass index (BMI). BMI, while not an independent predictor, contributed indirectly to the disease severity through its association with these inflammatory markers. The logistic regression model incorporating age, BMI, CRP, fibrinogen, and ANC demonstrated a high predictive accuracy, with an area under the curve (AUC) of 0.902, highlighting the models reliability in stratifying patients at risk for severe CVD. Conclusions: This predictive model not only aids in identifying high-risk patients but also reinforces inflammation as a critical therapeutic target in CVD management.
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ISSN:2227-9059
2227-9059
DOI:10.3390/biomedicines12112524