BACKGROUND: Hospitalized patients with acute medical conditions have higher venous thromboembolism (VTE) risk. A patient with a final Padua Prediction Score (PPS) of ≥4 is considered to be at high risk for VTE. The aim of this study was to investigate on a possible relationship between PPS, the dynamics of the clot formation, i.e. the clot waveform analysis (CWA) of aPTT, fibrinogen and D-Dimer in a large group of medical patients. METHODS: CWA in terms of velocity (first derivative), acceleration (second derivative), density (Delta) of aPTT, fibrinogen, D-Dimer and PPS for VTE were determined in 801 medical patients divided in three groups (without antithrombotic prophylaxis and high PPS, without antithrombotic prophylaxis and low PPS, with antithrombotic prophylaxis and high PPS) and a group of healthy subjects. RESULTS: CWA, fibrinogen and D-Dimer values were higher in the medical patients with high PPS with or without antithrombotic prophylaxis when compared with patients without antithrombotic prophylaxis with low PPS and healthy subjects. The second derivative, fibrinogen and D-Dimer were significantly associated with a high PPS score (≥4): odds ratio (OR) = 1.53, 95% confidence interval (CI) = 1.03-2.28; OR = 1.91, 95% CI = 1.3-2.79; OR = 3.16, 95% CI = 2.29-4.36, respectively. Interactions between first derivative and D-Dimer (OR = 2.14, 95% CI = 1.23-3.72) and first derivative and fibrinogen (OR = 1.75, 95% CI = 1.02-2.98) were found. CONCLUSIONS: CWA could give useful information to recognize a hypercoagulable state in patients admitted to a medical ward with high and low PPS. First and second derivative aPTT, D-Dimer and fibrinogen levels could be added to PPS to better assess the global thromboembolic risk of these patients.
BACKGROUND: Hospitalized patients with acute medical conditions have higher venous thromboembolism (VTE) risk. A patient with a final Padua Prediction Score (PPS) of ≥4 is considered to be at high risk for VTE. The aim of this study was to investigate on a possible relationship between PPS, the dynamics of the clot formation, i.e. the clot waveform analysis (CWA) of aPTT, fibrinogen and D-Dimer in a large group of medical patients. METHODS:CWA in terms of velocity (first derivative), acceleration (second derivative), density (Delta) of aPTT, fibrinogen, D-Dimer and PPS for VTE were determined in 801 medical patients divided in three groups (without antithrombotic prophylaxis and high PPS, without antithrombotic prophylaxis and low PPS, with antithrombotic prophylaxis and high PPS) and a group of healthy subjects. RESULTS:CWA, fibrinogen and D-Dimer values were higher in the medical patients with high PPS with or without antithrombotic prophylaxis when compared with patients without antithrombotic prophylaxis with low PPS and healthy subjects. The second derivative, fibrinogen and D-Dimer were significantly associated with a high PPS score (≥4): odds ratio (OR) = 1.53, 95% confidence interval (CI) = 1.03-2.28; OR = 1.91, 95% CI = 1.3-2.79; OR = 3.16, 95% CI = 2.29-4.36, respectively. Interactions between first derivative and D-Dimer (OR = 2.14, 95% CI = 1.23-3.72) and first derivative and fibrinogen (OR = 1.75, 95% CI = 1.02-2.98) were found. CONCLUSIONS:CWA could give useful information to recognize a hypercoagulable state in patients admitted to a medical ward with high and low PPS. First and second derivative aPTT, D-Dimer and fibrinogen levels could be added to PPS to better assess the global thromboembolic risk of these patients.
Authors: Marina Di Pino; Maria Filomena Ruberto; Giulia Costanzo; Davide Firinu; Maria Sebastiana Piras; Mario Nicola Mura; Stefano Del Giacco; Ferdinando Coghe; Francesco Marongiu; Doris Barcellona Journal: Clin Exp Med Date: 2022-05-25 Impact factor: 5.057
Authors: Bingwen Eugene Fan; Yew Woon Chia; Christina Lai Lin Sum; Ponnudurai Kuperan; Stephrene Seok Wei Chan; Li Min Ling; Glenn Wei Leong Tan; Serene Si Ning Goh; Lai Har Wong; Shu Ping Lim; Kian Guan Eric Lim; Hwee Tat Tan; Mui Kia Ang; Soon Lee Lau; Kiat Hoe Ong; Jensen Ng Journal: J Thromb Thrombolysis Date: 2020-08 Impact factor: 2.300
Authors: Chuen Wen Tan; Jing Yuan Tan; Wan Hui Wong; May Anne Cheong; Ian Matthias Ng; Edwin Philip Conceicao; Jenny Guek Hong Low; Heng Joo Ng; Lai Heng Lee Journal: Sci Rep Date: 2021-01-19 Impact factor: 4.379
Authors: Weijie Zhou; Yan Huang; Jie Wei; Jun Li Wang; Boming Huang; Xiaoxuan Zhou; Jie Yan; Yangyang Wu; Faquan Lin; Wangrong Wen Journal: Ann Transl Med Date: 2021-08