Analysis of risk factors for calf muscular vein thrombosis in elderly patients with acute exacerbation of chronic obstructive pulmonary disease
Abstract
Objective: This study aimed to identify the independent risk factors for calf muscular vein thrombosis (CMVT) in elderly patients experiencing an acute exacerbation of chronic obstructive pulmonary disease (AECOPD). Methods: A retrospective study was conducted involving 128 elderly patients (age ≥60 years) with AECOPD. Patients were categorized into CMVT and non-CMVT groups based on lower extremity venous color Doppler ultrasound findings. Clinical characteristics and laboratory parameters were compared between the groups. Statistically significant variables from univariate analysis were incorporated into a multivariate logistic regression analysis to identify independent risk factors. The predictive performance of these factors was evaluated using receiver operating characteristic (ROC) curve analysis. Results: Multivariate logistic regression identified reduced calf circumference [Odds Ratio (OR) = 0.25, 95% Confidence Interval (CI): 0.1-0.59], elevated red blood cell (RBC) count (OR = 19.85, 95% CI: 1.08-363.96), and elevated D-dimer level (OR = 1.84, 95% CI: 1.13-3.01) as independent risk factors for CMVT. ROC curve analysis demonstrated good predictive performance for these factors, with areas under the curve (AUC) of 0.986 for calf circumference, 0.788 for RBC count, and 0.976 for D-dimer. Conclusion: Reduced calf circumference, elevated RBC count, and elevated D-dimer level are significant independent risk factors for CMVT in elderly AECOPD patients. Monitoring these indicators could aid clinicians in the early identification and prevention of CMVT in this vulnerable population.
Fields of Study & Subjects
Venous Thromboembolism Diagnosis and Management
Chronic Obstructive Pulmonary Disease (COPD) Research
Peripheral Artery Disease Management
Publication details
- Journal / source
- Frontiers in Cardiovascular Medicine
- Volume
- 13
- Pages
- 1742275–1742275
- Publication date
- 30 January 2026
- Language
- EN