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DOI: 10.1055/s-0039-1680272
Venous Thromboembolism Risks Modeling in Burn Patients
Publication History
Publication Date:
13 February 2019 (online)
Background: Venous thromboembolism (VTE) has heritable components. On date, a number of gene variants have been proven to cause hypercoagulability. Given burn patients with VTE have poor clinical prognostic signs, we investigated selected single nucleotide polymorphisms (SNPs) to develop a math model to estimate the VTE risks in burn patients.
Methods: 108 patients treated during period from January 2015 to January 2018 in the Burn Center of the Sklifosovsky Institute for Emergency Medicine, Moscow, Russia were investigated. VTE was diagnosed in 40 patients. 2-ml peripheral venous blood samples were collected and stored at -40°C until investigation. Genomic DNA was extracted and RT-PCR and melting-curve analysis technique was used to type for selected SNPs, namely F2 (20210 G>A), F5 (1691 G>A), F7 (Arg353Gln C>T), F13 (103 G>T), FGB (-45 G>A), ITGA2 (807 C>T), ITGB3 (176 T>C), PAI-1 (-675 5G>4G). All reagents were commercially available from the “DNA-Technology” Co., Russia. Binary logit model was used to assess the reliability of the effect of polymorphisms on posttraumatic VTE.
Results: The logit model established was adjusted for patient gender (male/female), patient age (18-91 y.o.), and total body surface area (TBSA) up to 65%. Two variables appeared to correlate significantly with the development of VTE in burn patients: ITGB3 TT vs TC or CC (p=0,05; RR=2,36), and age (p=0,01; RR=0,11 per year). The statistical significance level of the model developed was as high as p=0,009. The ITGB3 (176TC/CC)- and (176TT)-carriers reached the probability of VTE > 0,5 at 48 y.o. and 77 y.o., resp. Despite the specificity of the model reached 83%, the sensitivity did not exceed 23%.
Conclusions: We conclude that both hereditary and non-hereditary factors predispose to the development of VTE in patients with thermal trauma. Additional variables should be investigated to create more precise functional model.
This work was supported in part by Maxim Klimov Foundation (Moscow).
No conflict of interest has been declared by the author(s).