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      Relationship between the inflammation/immune indexes and deep venous thrombosis (DVT) incidence rate following tibial plateau fractures

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          Abstract

          Objective

          To determine the relationship between inflammation/immune-based indexes and deep venous thrombosis (DVT) incidence rate following tibial plateau fractures

          Methods

          Retrospective analysis of a prospectively collected data on patients undergoing surgeries of tibial plateau fractures between October 2014 and December 2018 was performed. Duplex ultrasonography (DUS) was routinely used to screen for preoperative DVT of bilateral lower extremities. Data on biomarkers (neutrophil, lymphocyte, monocyte, and platelet counts) at admission were collected, based on which neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), monocyte/lymphocyte (MLR), and systemic immune-inflammation index (SII, neutrophil* platelet/lymphocyte) were calculated. Receiver operating characteristic (ROC) was used to determine the optimal cutoff value for each variable. Multivariate logistic regression analysis was used to evaluate the independent relationship of each biomarker or index with DVT, after adjustment for demographics, co-morbidities, and injury-related variables.

          Results

          Among 1179 patients included, 16.3% (192/1179) of them had a preoperative DVT. Four factors were identified to be significantly associated with DVT, including open fracture, increased D-dimer level. Among the biomarkers and indexes, only platelet and neutrophil were identified to be independently associated with DVT, and the significance remained after exclusion of open fracture. The other independent variables were elevated D-dimer level (> 0.55 mg/L), male gender, and hypertension in the sensitivity analysis with open fractures excluded.

          Conclusion

          These identified factors are conducive to the initial screening for patients at risk of DVT, individualized risk assessment, risk stratification, and accordingly, development of targeted prevention programs.

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          Most cited references23

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          Thrombosis and platelets: an update.

          Haemostasis and thrombosis are complex, multifactorial processes. There is an evolving understanding of the mechanisms influencing vascular occlusion and the role of inflammation and immunity. Despite major advances in elucidating the mechanistic pathways mediating platelet function and thrombosis, challenges in the treatment of vascular occlusive diseases persist. Pharmacological advances have greatly affected thrombotic outcomes, but this has led to the unwanted side effect of bleeding. Detailed assessment of the impact of non-thrombotic diseases on haemostasis and thrombosis is necessary to better evaluate thrombotic risk and establish optimal treatment. This review will focus on recent advances in understanding the contribution of evolving risk factors to thrombosis.
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            Neutrophil Extracellular Traps in the Second Decade

            Nearly 15 years after the first description of neutrophil extracellular traps (NETs), our knowledge concerning this structure has expanded considerably. Initially, NETs were considered solely an elaborate function of the innate immune system to combat invading microorganisms. Successively it became clear that NETs have farther-reaching capabilities. They are involved in a series of pathophysiological mechanisms ranging from inflammation to thrombosis where they fulfill essential functions when produced at the right site and the right time but can have a serious impact when generation or clearance of NETs is inadequately controlled. This review provides a concise overview on the far-reaching functions of NETs in health and disease.
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              Using an age-dependent D-dimer cut-off value increases the number of older patients in whom deep vein thrombosis can be safely excluded.

              D-dimer testing to rule out deep vein thrombosis is less useful in older patients because of a lower specificity. An age-adjusted D-dimer cut-off value increased the proportion of older patients (>50 years) in whom pulmonary embolism could be excluded. We retrospectively validated the efficacy of this cut-off combined with clinical probability for the exclusion of deep vein thrombosis. Five management study cohorts of 2818 consecutive outpatients with suspected deep vein thrombosis were used. Patients with non-high or unlikely probability of deep vein thrombosis were included in the analysis; four different D-dimer tests were used. The proportion of patients with a normal D-dimer test and the failure rates were calculated using the conventional (500 μg/L) and the age-adjusted D-dimer cut-off (patient's age x 10 μg/L in patients >50 years). In 1672 patients with non-high probability, deep vein thrombosis could be excluded in 850 (51%) patients with the age-adjusted cut-off value versus 707 (42%) patients with the conventional cut-off value. The failure rates were 7 (0.8; 95% confidence interval 0.3-1.7%) for the age-adjusted cut-off value and 5 (0.7%, 0.2-1.6%) for the conventional cut-off value. The absolute increase in patients in whom deep vein thrombosis could be ruled out using the age-adjusted cut-off value was largest in patients >70 years: 19% among patients with non-high probability. The age-adjusted cut-off of the D-dimer combined with clinical probability greatly increases the proportion of older patients in whom deep vein thrombosis can be safely excluded.
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                Author and article information

                Contributors
                guolisha@163.com
                zhuyanbin111@126.com
                surgeonchenwei@126.com
                175546860@qq.com
                surzhao@163.com
                junzhezhang_MD@126.com
                doctor.meng@gmail.com
                drzhang2013@126.com
                Journal
                J Orthop Surg Res
                J Orthop Surg Res
                Journal of Orthopaedic Surgery and Research
                BioMed Central (London )
                1749-799X
                2 July 2020
                2 July 2020
                2020
                : 15
                : 241
                Affiliations
                [1 ]GRID grid.417036.7, Department of Orthopaedic Surgery, , Tianjin Nankai Hospital, ; Tianjin, 300100 P. R. China
                [2 ]GRID grid.452209.8, Department of Orthopaedic Surgery, , The 3rd Hospital of Hebei Medical University, ; Shijiazhuang, 050051 Hebei P. R. China
                [3 ]Key Laboratory of Biomechanics of Hebei Province, Shijiazhuang, 050051 Hebei P. R. China
                [4 ]Orthopaedic Institution of Hebei Province, Shijiazhuang, 050051 Hebei P. R. China
                [5 ]GRID grid.464287.b, Chinese Academy of Engineering, ; Beijing, 100088 P. R. China
                Author information
                http://orcid.org/0000-0002-5419-7078
                Article
                1765
                10.1186/s13018-020-01765-9
                7331237
                32616051
                c26c4f37-f720-4b6f-962e-c8c15b1e0740
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 5 May 2020
                : 26 June 2020
                Funding
                Funded by: Hebei Provincial Department of Human Resources and Social Security Funding
                Award ID: 201903007
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2020

                Surgery
                inflammatory/immune index,biomarkers,deep venous thrombosis,tibial plateau fractures,epidemiology

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