Literature DB >> 32168402

Validation of risk assessment models predicting venous thromboembolism in acutely ill medical inpatients: A cohort study.

Thomas Moumneh1,2, Jérémie Riou3, Delphine Douillet1, Samir Henni4, Dominique Mottier5, Tobias Tritschler2,6, Grégoire Le Gal2, Pierre-Marie Roy1.   

Abstract

BACKGROUND: Because hospital-acquired venous thromboembolism (VTE) represents a frequent cause of preventable deaths in medical inpatients, identifying at-risk patients requiring thromboprophylaxis is critical. We aimed to externally assess the Caprini, IMPROVE, and Padua VTE risk scores and to compare their performance to advanced age as a stand-alone predictor.
METHODS: We performed a retrospective analysis of patients prospectively enrolled in the PREVENU trial. Patients aged 40 years and older, hospitalized for at least 2 days on a medical ward were consecutively enrolled and followed for 3 months. Critical ill patients were not recruited. Patients diagnosed with VTE within 48 hours from admission, or receiving full dose anticoagulant treatment or who underwent surgery were excluded. All suspected VTE and deaths occurring during the 3-month follow-up were adjudicated by an independent committee. The three scores were retrospectively assessed. Body mass index, needed for the Padua and Caprini scores, was missing in 44% of patients.
RESULTS: Among 14 910 eligible patients, 14 660 were evaluable, of which 1.8% experienced symptomatic VTE or sudden unexplained death during the 3-month follow-up. The area under the receiver operating characteristic curves (AUC) were 0.60 (95% confidence interval [CI] 0.57-0.63), 0.63 (95% CI 0.60-0.66) and 0.64 (95% CI 0.61-0.67) for Caprini, IMPROVE, and Padua scores, respectively. None of these scores performed significantly better than advanced age as a single predictor (AUC 0.61, 95% CI 0.58-0.64).
CONCLUSION: In our study, Caprini, IMPROVE, and Padua VTE risk scores have poor discriminative ability to identify not critically ill medical inpatients at risk of VTE, and do not perform better than a risk evaluation based on patient's age alone.
© 2020 International Society on Thrombosis and Haemostasis.

Entities:  

Keywords:  deep vein thrombosis; inpatients; pulmonary embolism; risk assessment model; venous thromboembolism

Mesh:

Substances:

Year:  2020        PMID: 32168402     DOI: 10.1111/jth.14796

Source DB:  PubMed          Journal:  J Thromb Haemost        ISSN: 1538-7836            Impact factor:   5.824


  5 in total

1.  Risk-assessment models for VTE and bleeding in hospitalized medical patients: an overview of systematic reviews.

Authors:  Andrea J Darzi; Allen B Repp; Frederick A Spencer; Rami Z Morsi; Rana Charide; Itziar Etxeandia-Ikobaltzeta; Kenneth A Bauer; Allison E Burnett; Mary Cushman; Francesco Dentali; Susan R Kahn; Suely M Rezende; Neil A Zakai; Arnav Agarwal; Samer G Karam; Tamara Lotfi; Wojtek Wiercioch; Reem Waziry; Alfonso Iorio; Elie A Akl; Holger J Schünemann
Journal:  Blood Adv       Date:  2020-10-13

2.  Clinical effectiveness of a pneumatic compression device combined with low-molecular-weight heparin for the prevention of deep vein thrombosis in trauma patients: A single-center retrospective cohort study.

Authors:  Peng-Chao Guo; Nan Li; Hui-Ming Zhong; Guang-Feng Zhao
Journal:  World J Emerg Med       Date:  2022

3.  Prevention, Diagnosis, and Treatment of VTE in Patients With Coronavirus Disease 2019: CHEST Guideline and Expert Panel Report.

Authors:  Lisa K Moores; Tobias Tritschler; Shari Brosnahan; Marc Carrier; Jacob F Collen; Kevin Doerschug; Aaron B Holley; David Jimenez; Gregoire Le Gal; Parth Rali; Philip Wells
Journal:  Chest       Date:  2020-06-02       Impact factor: 9.410

4.  Clinical characteristics and risk factors for symptomatic venous thromboembolism in hospitalized COVID-19 patients: A multicenter retrospective study.

Authors:  Jun-Ying Li; Hong-Fei Wang; Ping Yin; Di Li; Di-Le Wang; Peng Peng; Wei-Hua Wang; Lan Wang; Xiao-Wei Yuan; Jin-Yuan Xie; Fan Zhou; Nian Xiong; Feng Shao; Chun-Xiu Wang; Xiang Tong; Hao Ye; Wen-Jun Wan; Ben-De Liu; Wen-Zhu Li; Qian Li; Liang V Tang; Yu Hu; Gregory Y H Lip
Journal:  J Thromb Haemost       Date:  2021-02-24       Impact factor: 5.824

Review 5.  Thromboembolic Complications of SARS-CoV-2 and Metabolic Derangements: Suggestions from Clinical Practice Evidence to Causative Agents.

Authors:  Francesco Nappi; Adelaide Iervolino; Sanjeet Singh Avtaar Singh
Journal:  Metabolites       Date:  2021-05-25
  5 in total

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