A Prediction Model Based on Blood Biomarker for Mortality Risk in Patients with Acute Venous Thromboembolism

References

• Wendelboe AM, Raskob GE. Global Burden of Thrombosis: epidemiologic Aspects. Circ Res. 2016;118(9):1340–1347.
   PubMed Web of Science ®Google Scholar
• Zhai Z, Kan Q, Li W, et al. VTE Risk Profiles and Prophylaxis in Medical and Surgical Inpatients: the Identification of Chinese Hospitalized Patients’ Risk Profile for Venous Thromboembolism (DissolVE-2)-A Cross-sectional Study. Chest. 2019;155(1):114–122.
   PubMed Web of Science ®Google Scholar
• Kahn SR, Shrier I, Julian JA, et al. Determinants and time course of the postthrombotic syndrome after acute deep venous thrombosis. Ann Intern Med. 2008;149(10):698–707.
   PubMed Web of Science ®Google Scholar
• Ende-Verhaar YM, Tick LW, Klok FA, et al. Post-thrombotic syndrome: short and long-term incidence and risk variables. Thromb Res. 2019;177:102–109.
   PubMed Web of Science ®Google Scholar
• Bartlett MA, Mauck KF, Stephenson CR, Ganesh R, Daniels PR. Perioperative Venous Thromboembolism Prophylaxis. Mayo Clin Proc. 2020;95(12):2775–2798.
   PubMed Web of Science ®Google Scholar
• Barbar S, Noventa F, Rossetto V, et al. A risk assessment model for the identification of hospitalized medical patients at risk for venous thromboembolism: the Padua Prediction Score. J Thromb Haemost. 2010;8(11):2450–2457.
   PubMed Web of Science ®Google Scholar
• Dentali F, Fontanella A, Cohen AT, et al. Derivation and Validation of a Prediction Model for Venous Thromboembolism in Primary Care. Thromb Haemost. 2020;120(4):692–701.
   PubMed Web of Science ®Google Scholar
• Pabinger I, van Es N, Heinze G, et al. A clinical prediction model for cancer-associated venous thromboembolism: a development and validation study in two independent prospective cohorts. Lancet Haematol. 2018;5(7):e289–e298.
   PubMed Web of Science ®Google Scholar
• Hippisley-Cox J, Coupland C. Development and validation of risk prediction algorithm (QThrombosis) to estimate future risk of venous thromboembolism: prospective cohort study. BMJ. 2011;343:d4656.
   PubMed Web of Science ®Google Scholar
• Sultan AA, West J, Grainge MJ, et al. Development and validation of risk prediction model for venous thromboembolism in postpartum women: multinational cohort study. BMJ. 2016;355:i6253.
   PubMed Web of Science ®Google Scholar
• Huang SY, Odisio BC, Sabir SH, et al. Development of a predictive model for 6 month survival in patients with venous thromboembolism and solid malignancy requiring IVC filter placement. J Thromb Thrombolysis. 2017;44(1):30–37.
   PubMed Web of Science ®Google Scholar
• Shen C, Ge B, Liu X, Chen H, Qin Y, Shen H. Predicting the occurrence of venous thromboembolism: construction and verification of risk warning model. BMC Cardiovasc Disord. 2020;20(1):249.
   PubMed Web of Science ®Google Scholar
• Matsuo K, Yessaian AA, Lin YG, et al. Predictive model of venous thromboembolism in endometrial cancer. Gynecol Oncol. 2013;128(3):544–551.
   PubMed Web of Science ®Google Scholar
• Stuck AK, Spirk D, Schaudt J, Kucher N. Risk assessment models for venous thromboembolism in acutely ill medical patients. A systematic review. Thromb Haemost. 2017;117(4):801–808.
   PubMed Web of Science ®Google Scholar
• Qiu P, Liu J, Wan F, et al. A predictive model for postthrombotic syndrome in proximal deep vein thrombosis patients. Ann Transl Med. 2021;9(7):558.
   PubMed Web of Science ®Google Scholar
• Méan M, Limacher A, Alatri A, Aujesky D, Mazzolai L. Derivation and Validation of a Prediction Model for Risk Stratification of Post-Thrombotic Syndrome in Elderly Patients with a First Deep Vein Thrombosis. Thromb Haemost. 2018;118(8):1419–1427.
   PubMed Web of Science ®Google Scholar
• Amin EE, van Kuijk SMJ, Joore MA, Prandoni P, Ten Cate H, Ten Cate-Hoek AJ. Development and Validation of a Practical Two-Step Prediction Model and Clinical Risk Score for Post-Thrombotic Syndrome. Thromb Haemost. 2018;118(7):1242–1249.
   PubMed Web of Science ®Google Scholar
• Rabinovich A, Ducruet T, Kahn SR. SOX Trial investigators. Development of a clinical prediction model for the postthrombotic syndrome in a prospective cohort of patients with proximal deep vein thrombosis. J Thromb Haemost. 2018;16(2):262–270.
   PubMed Web of Science ®Google Scholar
• Chopard R, Albertsen IE, Piazza G. Diagnosis and Treatment of Lower Extremity Venous Thromboembolism: a Review. JAMA. 2020;324(17):1765–1776.
   PubMed Web of Science ®Google Scholar
• Bhat TM, Afari ME, Garcia LA. Neutrophil lymphocyte ratio in peripheral vascular disease: a review. Expert Rev Cardiovasc Ther. 2016;14(7):871–875.
   PubMed Web of Science ®Google Scholar
• Mozos I, Malainer C, Horbańczuk J, et al. Inflammatory Markers for Arterial Stiffness in Cardiovascular Diseases. Front Immunol. 2017;8:1058.
   PubMed Web of Science ®Google Scholar
• Neupane R, Jin X, Sasaki T, Li X, Murohara T, Cheng XW. Immune Disorder in Atherosclerotic Cardiovascular Disease-Clinical Implications of Using Circulating T-Cell Subsets as Biomarkers. Circ J. 2019;83(7):1431–1438.
   PubMed Web of Science ®Google Scholar
• Kremers B, Wübbeke L, Mees B, Ten Cate H, Spronk H, Ten Cate-Hoek A. Plasma Biomarkers to Predict Cardiovascular Outcome in Patients With Peripheral Artery Disease: a Systematic Review and Meta-Analysis. Arterioscler Thromb Vasc Biol. 2020;40(9):2018–2032.
   PubMed Web of Science ®Google Scholar
• Ates H, Ates I, Kundi H, Yilmaz FM. Diagnostic validity of hematologic parameters in evaluation of massive pulmonary embolism. J Clin Lab Anal. 2017;31(5):e22072.
   PubMed Web of Science ®Google Scholar
• Akgüllü Ç, Ömürlü İK, Eryılmaz U, et al. Predictors of early death in patients with acute pulmonary embolism. Am J Emerg Med. 2015;33(2):214–221.
   PubMed Web of Science ®Google Scholar
• Bi W, Liang S, He Z, et al. The Prognostic Value of the Serum Levels of Brain Natriuretic Peptide, Troponin I, and D-Dimer, in Addition to the Neutrophil-to-Lymphocyte Ratio, for the Disease Evaluation of Patients with Acute Pulmonary Embolism. Int J Gen Med. 2021;14:303–308.
   PubMed Web of Science ®Google Scholar
• Liu C, Zhan HL, Huang ZH, et al. Prognostic role of the preoperative neutrophil-to-lymphocyte ratio and albumin for 30-day mortality in patients with postoperative acute pulmonary embolism. BMC Pulm Med. 2020;20(1):180.
   PubMed Web of Science ®Google Scholar
• Karataş MB, Ipek G, Onuk T, et al. Assessment of Prognostic Value of Neutrophil to Lymphocyte Ratio and Platelet to Lymphocyte Ratio in Patients with Pulmonary Embolism. Acta Cardiol Sin. 2016;32(3):313–320.
   PubMed Web of Science ®Google Scholar
• Cannon NA, Meyer J, Iyengar P, et al. Neutrophil-lymphocyte and platelet-lymphocyte ratios as prognostic variables after stereotactic radiation therapy for early-stage non-small-cell lung cancer. J Thorac Oncol. 2015;10(2):280–285.
   PubMed Web of Science ®Google Scholar
• Dolan RD, McSorley ST, Park JH, et al. The prognostic value of systemic inflammation in patients undergoing surgery for colon cancer: comparison of composite ratios and cumulative scores. Br J Cancer. 2018;119(1):40–51.
   PubMed Web of Science ®Google Scholar
• Gok M, Kurtul A. A novel marker for predicting severity of acute pulmonary embolism: systemic immune-inflammation index. Scand Cardiovasc J. 2021;55(2):91–96.
   PubMed Web of Science ®Google Scholar
• Peng J, Wang H, Zhang L, Lin Z. Construction and efficiency analysis of prediction model for venous thromboembolism risk in the elderly after Hip fracture. Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2021;46(2):142–148.
   PubMedGoogle Scholar
• Kahn SR, Partsch H, Vedantham S, Prandoni P, Kearon C. Subcommittee on Control of Anticoagulation of the Scientific and Standardization Committee of the International Society on Thrombosis and Haemostasis. Definition of post-thrombotic syndrome of the leg for use in clinical investigations: a recommendation for standardization. J Thromb Haemost. 2009;7(5):879–883.
   PubMed Web of Science ®Google Scholar
• Moons KG, Altman DG, Reitsma JB, et al. Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration. Ann Intern Med. 2015;162:W1–73.
   PubMed Web of Science ®Google Scholar
• McCurdy JD, Israel A, Hasan M, et al. A clinical predictive model for post-hospitalisation venous thromboembolism in patients with inflammatory bowel disease. Aliment Pharmacol Ther. 2019;49(12):1493–1501.
   PubMed Web of Science ®Google Scholar
• Xue J, Ma D, Jiang J, Liu Y. Diagnostic and Prognostic Value of Immune/Inflammation Biomarkers for Venous Thromboembolism: is It Reliable for Clinical Practice? J Inflamm Res. 2021;14:5059–5077.
   PubMed Web of Science ®Google Scholar
• Celebi S, Berkalp B, Amasyali B. The association between thrombotic and inflammatory biomarkers and lower-extremity peripheral artery disease. Int Wound J. 2020;17(5):1346–1355.
   PubMed Web of Science ®Google Scholar