Prediction of thrombosis risk in patients with hip fracture by coagulation index
10.3969/j.issn.1673-9701.2024.23.011
- VernacularTitle:凝血指标对髋部骨折患者血栓形成风险的预测
- Author:
Aimei ZHENG
1
;
Yinsheng WU
Author Information
1. 温州市中西医结合医院创伤骨科,浙江温州 3250001
- Keywords:
Hip fracture;
Deep vein thrombosis;
Perioperative period;
Minimum absolute shrinkage and selection operators
- From:
China Modern Doctor
2024;62(23):48-52
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the predictive value of coagulation indexes on the risk of venous thrombosis in perioperative period of hip fracture.Methods Totally 160 patients with hip fracture admitted to our hospital from February 2020 to December 2022 were retrospectively included.They were randomly divided into training set(n=112 cases)and verification set(n=48 cases).Further,according to whether deep vein thrombosis(DVT)occurred in the perioperative period,the patients in the training group were further divided into the occurrence group and the non-occurrence group.Use the least absolute shrinkage and selection operator(LASSO)to select variables to form a LASSO regression model.Draw receiver operating characteristic(ROC)curve to analyze the prediction efficiency of the model;The prediction efficiency of the verification model is realized through the verification set data.Results There was no statistically significant difference in gender,age,and other general and clinical data between the training set and the validation set(P>0.05).There were significant differences in sex,age,time from fracture to admission,body mass index,D-dimer,fibrinogen,total protein,albumin,prealbumin,globulin,hemoglobin,serum calcium,red blood cell volume,white blood cell count,red blood cell volume distribution width,activated partial thromboplastin time,prothrombin time and lymphocyte ratio between the patients in the training set(P<0.05).Six optimal variables with non-zero coefficients were selected by intraclass correlation coefficient(ICC)and LASSO,namely age,body mass index,D-dimer,fibrinogen,prothrombin time and activated partial thromboplastin time.The non-zero coefficients were 9.104,1.792,1.270,2.447,3.037 and-1.561 respectively.Conclusion The LASSO regression model formed by the combination of age,body mass index,D-dimer,fibrinogen,prothrombin time and activated partial thromboplastin time variables can serve as an auxiliary tool for predicting the risk of perioperative DVT formation in patients with hip fractures.
