Risk of CHF complicated with deep venous thrombosis:a logistic regression analysis based on neutrophil count and coagulation parameters
10.3969/j.issn.1009-0126.2025.06.010
- VernacularTitle:基于中性粒细胞和凝血参数的logistic回归分析慢性心力衰竭并发深静脉血栓的风险研究
- Author:
Zijin LI
1
;
Liqun HE
;
Meng YIN
Author Information
1. 430024 武汉市第一医院心血管内科
- Publication Type:Journal Article
- Keywords:
heart failure;
venous thrombosis;
fibrinogen;
neutrophil
- From:
Chinese Journal of Geriatric Heart Brain and Vessel Diseases
2025;27(6):738-741
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the risk of chronic heart failure(CHF)complicated with deep ve-nous thrombosis by using logistic regression model based on neutrophil and coagulation parame-ters.Methods A retrospective analysis was conducted on 132 CHF patients admitted to our hos-pital from August 2021 to August 2023.According to deep venous thrombosis occurred or not,they were divided into thrombosis group(44 cases)and non-thrombosis group(88 cases).The neutrophil count and coagulation parameters were measured in all subjects after admission.Binary logistic regression analysis was used to construct a prediction model based on neutrophil count and coagulation parameters.ROC curve was plotted to analyze the predictive value of the count and parameters in predicting deep venous thrombosis in CHF patients.Results The thrombosis group had significantly higher serum neutrophil count and D-Dimer(D-D)and fibrinogen(FIB)levels than the non-thrombosis group(P＜0.01),but no statistical differences were observed be-tween them in terms of activated partial thromboplastin time,prothrombin time and thrombin time(P＞0.05).Binary logistic regression analysis suggested that serum neutrophil count and D-D and FIB levels were independent risk factors for deep venous thrombosis in CHF patients(OR=2.778,95％CI:1.672-4.617,P=0.000;OR=12.089,95％CI:4.310-33.903,P=0.000;OR=2.357,95％CI:1.170-4.746,P=0.016),and the prediction model was manifested as logit(P)=-13.908+1.022 × neutrophil+2.492 × D-D+0.857 × FIB.ROC curve analysis showed that the AUC value of serum neutrophil count,D-D and FIB levels alone and combined in predicting deep venous thrombosis were 0.772,0.82 9,0.712 and 0.913,respectively,with a sensitivity of 70.45％,72.73％,47.73％and 81.82％,and a specificity of 80.68％,78.41％,96.59％and 96.59％,separate-ly.The combined prediction model showed better efficiency than the single indicator(P＜0.01).Conclusion Neutrophil count and coagulation parameters are closely associated with the occur-rence of deep venous thrombosis in CHF patients.Early combined determination of the above three indicators can improve the prediction.
