Chinese Journal of Tissue Engineering Research ›› 2022, Vol. 26 ›› Issue (33): 5357-5363.doi: 10.12307/2022.786

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Risk factor analysis and prediction of deep venous thrombosis of lower extremity in elderly patients with hip fracture after operation

Rong Yi, Yu Hao, Yang Junfeng, Wang Lan, Zhang Jiannan, Shao Yang   

  1. Wuxi Hospital of Traditional Chinese Medicine, Wuxi Affiliated Hospital of Nanjing University of Chinese Medicine, Wuxi 214071, Jiangsu Province, China
  • Received:2021-09-25 Accepted:2021-11-17 Online:2022-11-28 Published:2022-03-31
  • Contact: Shao Yang, MD, Attending TCM physician, Wuxi Hospital of Traditional Chinese Medicine, Wuxi Affiliated Hospital of Nanjing University of Chinese Medicine, Wuxi 214071, Jiangsu Province, China
  • About author:Rong Yi, Doctoral candidate, Wuxi Hospital of Traditional Chinese Medicine, Wuxi Affiliated Hospital of Nanjing University of Chinese Medicine, Wuxi 214071, Jiangsu Province, China
  • Supported by:
    Scientific Research Project of Wuxi Municipal Health Commission, No. Q201945 (to SY); Scientific Research Project of Wuxi Municipal Health Commission, No. MS201935 (to ZJN); Scientific Research Project of Wuxi Nursing Association, No. M202114 (to WL); Traditional Chinese Medicine Science and Technology Development Program of Jiangsu Province, No. YB2020042 (to SY); Medical and Health Guidance Project of Wuxi Science and Technology Bureau, No. SKJJZD19 (to SY)

Abstract: BACKGROUND: For elderly patients with hip fractures, improving the ability to screen for deep vein thrombosis of the lower extremities and implementing individualized prevention programs are important measures to improve the prognosis of patients and reduce the burden on patients' families and socioeconomics.
OBJECTIVE: To investigate the risk factors of deep venous thrombosis in elderly patients with hip fracture after operation, and to establish a risk model to predict the occurrence of deep venous thrombosis. 
METHODS: Clinical data of 325 hospitalized patients with hip fracture over 70 years old from January 2017 to December 2019 were retrospectively analyzed, and they were divided into deep venous thrombosis group (n=50) and non-deep venous thrombosis group (n=275) according to the results of deep vein color Doppler ultrasound examination of lower extremities. The univariate and multivariate Logistic regression analyses were used to identify the independent risk factors for postoperative deep venous thrombosis in elderly patients with hip fracture. Receiver operating characteristic curve was used to analyze the diagnostic efficacy of independent risk factors and combined models for deep venous thrombosis. Furthermore, R Studio software was used to construct a column chart to predict the risk of postoperative deep venous thrombosis of lower limbs in elderly patients with hip fracture, and calibration curves were made to verify the accuracy of the model. 
RESULTS AND CONCLUSION: (1) The univariate analysis results showed that age, fracture type, the time between injury to operation, anesthesia, operation time, preoperative basic diseases, potassium, cholesterol, creatinine, and total protein were significantly different between the two groups (P < 0.05). (2) Multivariate Logistic regression analysis showed that fracture type of intertrochanteric fracture of femur, time from injury to operation, presence of diabetes before operation, and cerebrovascular disease were independent risk factors for postoperative deep venous thrombosis in elderly patients with hip fracture 
(P < 0.05). (3)  Receiver operating characteristic curve of each independent risk factor and combined model exhibited that the time from injury to operation, the presence of diabetes, cerebrovascular disease, and the combined model had predictive ability, but the type of hip fracture did not have predictive ability, and the combined model had better predictive ability than the single independent risk factor. (4) The column chart has good diagnostic efficiency and accuracy.

Key words: advanced age, hip fracture, deep vein thrombosis, regression analysis, risk factor, column chart

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