Literature DB >> 26298613

Risk level analysis for deep vein thrombosis (DVT): A study of Turkish patients undergoing major orthopedic surgery.

Funda Büyükyılmaz1, Merdiye Şendir2, Ricky Autar3, İlknur Yazgan4.   

Abstract

Deep vein thrombosis (DVT) is a prevalent problem for orthopedic patients, particularly owing to the nature of operative interventions and treatment procedures, predisposing to an high risk of DVT. This descriptive study was conducted to determine the levels of risk, the risk factors, and their odds ratio for DVT in patients undergoing major orthopedic surgery. Data were collected using a Patient Information Form and the Autar DVT Risk Assessment Scale (DVTRAS) in orthopedic wards of a university hospital on postoperative day 2. Data were analyzed using descriptive, comparative analysis, and binary logistic regression. The 102 patients (mean age, 52.58 ± 21.58 years) were hospitalized for a mean of 14.35 ± 14.56. Of the sample, 53.9% were female, 65.7% had a history of previous surgery, and 54.9% had undergone total hip/knee arthroplastic surgery, 67.6% of patients wore graduated compression stockings, and 62.7% were administered liquid infusion. Those patients had moderate risk score (12.77 ± 5.66) in the Autar DVTRAS. According to binary logistic regression analysis, aging, obesity, immobility, and acute and chronic diseases were significant risk factors for postoperative DVT (p ≤ .05). This study highlights evidence on the degree of DVT risk, risk factors, and impact of venous thromboembolism in patients undergoing major orthopedic operations. For evidence-based clinical practice, these high-level risk factors should be taken into account in the prevention of DVT in orthopedic patients.
Copyright © 2015 Society for Vascular Nursing, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2015        PMID: 26298613     DOI: 10.1016/j.jvn.2015.01.004

Source DB:  PubMed          Journal:  J Vasc Nurs        ISSN: 1062-0303


  2 in total

1.  Cost-Effective Machine Learning Based Clinical Pre-Test Probability Strategy for DVT Diagnosis in Neurological Intensive Care Unit.

Authors:  Li Luo; Ran Kou; Yuquan Feng; Jie Xiang; Wei Zhu
Journal:  Clin Appl Thromb Hemost       Date:  2021 Jan-Dec       Impact factor: 2.389

2.  Hypereosinophilia with Concurrent Venous Thromboembolism: Clinical Features, Potential Risk Factors, and Short-term Outcomes in a Chinese Cohort.

Authors:  Yecheng Liu; Xu Meng; Jun Feng; Xianliang Zhou; Huadong Zhu
Journal:  Sci Rep       Date:  2020-05-20       Impact factor: 4.379

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.