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Peng Q. Construction and validation of a predictive model for lower extremity deep vein thrombosis after total knee arthroplasty. Medicine (Baltimore) 2024; 103:e38517. [PMID: 38875414 PMCID: PMC11175919 DOI: 10.1097/md.0000000000038517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2024] [Revised: 04/13/2024] [Accepted: 05/17/2024] [Indexed: 06/16/2024] Open
Abstract
The aim was to investigate the independent risk factors for lower extremity deep vein thrombosis (DVT) after total knee arthroplasty, and to establish a nomogram prediction model accordingly. Data were collected from total knee replacement patients from January 2022 to December 2023 in our hospital. Unifactorial and multifactorial logistic regression analyses were used to determine the independent risk factors for lower extremity DVT after total knee arthroplasty and to establish the corresponding nomogram. The receiver operating characteristic curves were plotted and the area under the curve was calculated, and the calibration curves and decision curves were plotted to evaluate the model performance. A total of 652 patients with total knee arthroplasty were included in the study, and 142 patients after total knee arthroplasty developed deep veins in the lower extremities, with an incidence rate of 21.78%. After univariate and multivariate logistic regression analyses, a total of 5 variables were identified as independent risk factors for lower extremity DVT after total knee arthroplasty: age > 60 years (OR: 1.70; 95% CI: 1.23-3.91), obesity (OR: 1.51; 95% CI: 1.10-1.96), diabetes mellitus (OR: 1.80; 95% CI: 1.23-2.46), D-dimer > 0.5 mg/L (OR: 1.47; 95% CI: 1.07-1.78), and prolonged postoperative bed rest (OR: 1.64; 95% CI: 1.15-3.44). the nomogram constructed in this study for lower extremity DVT after total knee arthroplasty has good predictive accuracy, which helps physicians to intervene in advance in patients at high risk of lower extremity DVT after total knee arthroplasty.
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Affiliation(s)
- Qiang Peng
- Ya’an Hospital of Traditional Chinese Medicine
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Tayal D, Jain P, Goswami B. D-dimer - a multifaceted molecule. Horm Mol Biol Clin Investig 2024; 45:75-84. [PMID: 38716869 DOI: 10.1515/hmbci-2022-0093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 04/19/2024] [Indexed: 06/27/2024]
Abstract
D-dimer, a universally unique marker for fibrin degradation, is generated through the enzymatic interplay of thrombin, factor XIIIa, and plasmin. The emergence of D-dimer-containing fibrin molecules occurs in both intravascular and extravascular spaces during pivotal physiological processes like haemostasis, thrombosis, and tissue repair. Given the inherently physiological nature of fibrin formation and fibrinolysis, basal levels of D-dimer fragments are present in plasma. Beyond its role as a marker of routine physiological processes, aberrations in D-dimer levels are indicative of a spectrum of conditions, both non-pathological and pathological. The clinical utility of D-dimer has been firmly established, particularly in scenarios like venous thromboembolism (VTE), pulmonary embolism (PE), deep vein thrombosis (DVT), and disseminated intravascular coagulation (DIC). Additionally, recent applications have extended to assess the prognosis of COVID-19. While D-dimer is commonly associated with thrombotic conditions, its elevation is not confined to these conditions alone. Elevated D-dimer levels are observed across various diseases, where its significance extends beyond diagnostic indicators to prognostic implications.
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Affiliation(s)
- Devika Tayal
- Department of Biochemistry, National Institute of Tuberculosis and Respiratory Disease, New Delhi, India
| | - Prerna Jain
- Department of Biochemistry, National Institute of Tuberculosis and Respiratory Disease, New Delhi, India
| | - Binita Goswami
- Department of Biochemistry, Maulana Azad Medical College, New Delhi, India
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Zhang Q, Zhao L, Riva N, Yu Z, Jiang M, Gatt A, Guo JJ. Incidence of deep venous thrombosis in patients with hemophilia undergoing bilateral simultaneous total knee arthroplasty: a retrospective cohort study. BMC Musculoskelet Disord 2024; 25:326. [PMID: 38658972 PMCID: PMC11041033 DOI: 10.1186/s12891-024-07404-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 04/01/2024] [Indexed: 04/26/2024] Open
Abstract
BACKGROUND Hemophilic arthropathy usually affects the knees bilaterally. In order to reduce costs and improve rehabilitation, bilateral simultaneous total knee arthroplasty (TKA) can be performed. However, pharmacological prophylaxis for deep venous thrombosis (DVT) remains controversial in patients with severe hemophilia. The purpose of this study was to establish the incidence of DVT in severe hemophilia A patients undergoing bilateral simultaneous TKA without pharmacological thromboprophylaxis. METHODS Consecutive patients with severe hemophilia A undergoing bilateral simultaneous TKA at a single center between January 2015 and December 2020 were retrospectively reviewed. All patients received a modified coagulation factor substitution regimen. Tranexamic acid (TXA) was used for hemostasis in all patients during surgery. All patients followed a standardized postoperative protocol with routine mechanical thromboprophylaxis, and none received anticoagulation. D-dimer was measured preoperatively, on the day of the operation and on postoperative days 1, 7 and 14. Ultrasound (US) of the lower extremities was performed before (within 3 days of hospitalization) and after surgery (days 3 and 14) to detect asymptomatic DVT. Patients were followed up until 2 years after surgery for the development of symptomatic DVT or pulmonary embolism (PE). RESULTS 38 male patients with severe hemophilia A underwent 76 simultaneous TKAs. Mean (± standard deviation) age at the time of operation was 41.7 (± 17.1) years. Overall, 47.3% of patients had D-dimer concentrations above the threshold 10 µg/mL on day 7 and 39.5% on day 14. However, none of the patients had DVT detected on postoperative US, nor developed symptomatic DVT or PE during the 2-year follow-up. CONCLUSIONS The risk of DVT in patients with severe hemophilia A after bilateral simultaneous TKA is relatively low, and routine pharmacological thromboprophylaxis may not be needed.
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Affiliation(s)
- Qian Zhang
- Department of Orthopedics and Sports Medicine, The First Affiliated Hospital of Soochow University, Suzhou, PR China
| | - Lingying Zhao
- Department of Hematology, National Clinical Research Center for Hematologic Disease, The First Affiliated Hospital of Soochow University, Suzhou, PR China
- Jiangsu Institute of Hematology, Key Laboratory of Thrombosis and Hemostasis of Ministry of Health of PR China, Suzhou, PR China
| | - Nicoletta Riva
- Department of Pathology, Faculty of Medicine and Surgery, University of Malta, Msida, Malta
| | - Ziqiang Yu
- Department of Hematology, National Clinical Research Center for Hematologic Disease, The First Affiliated Hospital of Soochow University, Suzhou, PR China
- Jiangsu Institute of Hematology, Key Laboratory of Thrombosis and Hemostasis of Ministry of Health of PR China, Suzhou, PR China
| | - Miao Jiang
- Department of Hematology, National Clinical Research Center for Hematologic Disease, The First Affiliated Hospital of Soochow University, Suzhou, PR China
- Jiangsu Institute of Hematology, Key Laboratory of Thrombosis and Hemostasis of Ministry of Health of PR China, Suzhou, PR China
| | - Alexander Gatt
- Department of Pathology, Faculty of Medicine and Surgery, University of Malta, Msida, Malta
- Department of Haematology, Mater Dei Hospital, Msida, Malta
| | - Jiong Jiong Guo
- Department of Orthopedics and Sports Medicine, The First Affiliated Hospital of Soochow University, Suzhou, PR China.
- Jiangsu Institute of Hematology, Key Laboratory of Thrombosis and Hemostasis of Ministry of Health of PR China, Suzhou, PR China.
- China-Europe Sports Medicine Belt-and-Road Joint Laboratory of Ministry of Education of PRC, Suzhou, PR China.
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Momose T, Nakano M, Nakamura Y, Maeda T, Nawata M. Incidence and preventive treatment for deep vein thrombosis with our own preventive protocol in total hip and knee arthroplasty. PLoS One 2024; 19:e0293821. [PMID: 38232065 DOI: 10.1371/journal.pone.0293821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 10/19/2023] [Indexed: 01/19/2024] Open
Abstract
The aim of the present study was to investigate the perioperative and postoperative incidence of deep vein thrombosis (DVT) and validate the effectiveness of our own preventive treatment protocol for venous thromboembolism (VTE) occurrence in lower extremity arthroplasty patients. The subjects were 1,054 patients (mean age: 74.3 years) who underwent total hip arthroplasty (THA) or total knee arthroplasty (TKA) at our institutions between April 2014 and March 2017. We examined the frequencies of pre- and post-operative DVT by lower extremity Doppler images, and the incidence rate at proximal or distal regions as well as that according to preoperative DVT status were evaluated. Preoperative DVT was detected in 6.5% (69 cases) of our cohort and those were located 1.4% (15 cases) at proximal and 5.1% (54 cases) at distal regions. A significantly higher rate of postoperative DVT development was observed in preoperative DVT+ THA patients (P = 0.0075), but not in TKA patients only with a higher tendency (P = 0.56). The overall incidence of DVT up to 2 weeks after surgeries was 27.3% (288 cases); however, the rate in proximal femur regions was suppressed to 2.8% (30 cases), and there was no symptomatic pulmonary thromboembolism (PTE) case. The results demonstrated the importance of regular Doppler examination for early detection of postoperative DVT occurrence and the following immediate treatment initiation. Our own VTE preventive treatment protocol could reduce the development of proximal DVT, and the periodic monitoring as well as prompt treatment might prevent the fatal PTE. osteoarthritis (OA), rheumatoid arthritis (RA).
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Affiliation(s)
- Takashige Momose
- Department of Orthopaedic Surgery, Marunouchi Hospital, Matsumoto, Nagano, Japan
| | - Masaki Nakano
- Department of Orthopaedic Surgery, Iida Hospital, Iida, Nagano, Japan
| | - Yukio Nakamura
- Department of Orthopaedic Surgery, Iida Hospital, Iida, Nagano, Japan
| | - Takashi Maeda
- Department of Orthopaedic Surgery, Marunouchi Hospital, Matsumoto, Nagano, Japan
| | - Masashi Nawata
- Department of Orthopaedic Surgery, Marunouchi Hospital, Matsumoto, Nagano, Japan
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Kang JW, Kim KT, Park JW, Lee SJ. Classification of deep vein thrombosis stages using convolutional neural network of electromyogram with vibrotactile stimulation toward developing an early diagnostic tool: A preliminary study on a pig model. PLoS One 2023; 18:e0281219. [PMID: 36730258 PMCID: PMC9894458 DOI: 10.1371/journal.pone.0281219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 01/18/2023] [Indexed: 02/03/2023] Open
Abstract
Deep vein thrombosis (DVT) can lead to life-threatening disorders; however, it can only be recognized after its symptom appear. This study proposed a novel method that can detect the early stage of DVT using electromyography (EMG) signals with vibration stimuli using the convolutional neural networks (CNN) algorithm. The feasibility of the method was tested with eight legs before and after the surgical induction of DVT at nine-time points. Furthermore, perfusion pressure (PP), intracompartmental pressure (IP), and shear elastic modulus (SEM) of the tibialis anterior were also collected. In the proposed method, principal component analysis (PCA) and CNN were used to analyze the EMG data and classify it before and after the DVT stages. The cross-validation was performed in two strategies. One is for each leg and the other is the leave-one-leg-out (LOLO), test without any predicted information, for considering the practical diagnostic tool. The results showed that PCA-CNN can classify before and after DVT stages with an average accuracy of 100% (each leg) and 68.4±20.5% (LOLO). Moreover, all-time points (before induction of DVT and eight-time points after DVT) were classified with an average accuracy of 72.0±11.9% which is substantially higher accuracy than the chance levels (11% for 9-class classification). Based on the experimental results in the pig model, the proposed CNN-based method can classify the before- and after-DVT stages with high accuracy. The experimental results can provide a basis for further developing an early diagnostic tool for DVT using only EMG signals with vibration stimuli.
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Affiliation(s)
- Jong Woo Kang
- Department of Orthopaedic Surgery, Korea University Ansan Hospital, Ansan, Republic of Korea
| | - Keun-Tae Kim
- Bionics Research Center, Korea Institute of Science and Technology, Seoul, Republic of Korea
| | - Jong Woong Park
- Department of Orthopaedic Surgery, Korea University Anam Hospital, Seoul, Republic of Korea
| | - Song Joo Lee
- Bionics Research Center, Korea Institute of Science and Technology, Seoul, Republic of Korea
- Division of Bio-Medical Science & Technology, KIST School, Korea University of Science and Technology, Seoul, Republic of Korea
- * E-mail:
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Rav Acha M, Taha L, Turyan A, Farkash R, Bayya F, Karmi M, Steinmetz Y, Shaheen FF, Perel N, Hamayel K, Levi N, Karameh H, Tvito A, Glikson M, Asher E. D-Dimer as a Prognostic Factor in a Tertiary Center Intensive Coronary Care Unit. Clin Appl Thromb Hemost 2022; 28:10760296221110879. [PMID: 35866208 PMCID: PMC9310202 DOI: 10.1177/10760296221110879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
INTRODUCTION D-dimer is a small protein fragment produced during fibrinolysis. High D-dimer levels were shown to have prognostic impact in critically ill patients. Nevertheless, data regarding D-dimer's prognostic impact among tertiary care intensive coronary care unit (ICCU) patients is scarce. MATERIAL AND METHOD All patients admitted to the ICCU between 1-12/2020 were prospectively included. Based on admission D-dimer level, patients were categorized into low and high D-dimer groups (< 500 ng/ml and ≥ 500 ng/ml) and also to age-adjusted D-dimer cutoff (500 ng/ml for ages ≤ 50 years old and age*10 for ages>50 years old). RESULTS AND DISCUSSION A total of 959 consecutive patients were included, including 296 (27.4%) and 663 (61.3%) patients with low and high D-Dimer levels, respectively. Patients with high D-dimer level were older compared with patients with low D-dimer level (age 70.4 ± 15 and 59 ± 13 years, p = 0.004) and had more comorbidities. The most common primary diagnosis on admission among the low D-dimer group was acute coronary syndrome (ACS) (74.3%), while in the high D-dimer group it was a combination of ACS (33.6%), cardiac structural interventions (26.7%) and various arrhythmias (21.1%). High D-dimer levels were associated with increased mortality rate, even after adjustment for age, gender, comorbidities and left ventricular ejection fraction (LVEF). High D-dimer levels were independently associated with increased overall 1-year mortality rate (HR = 5.8; 95% CI; 1.7-19.1; p = 0.004). CONCLUSION Elevated D-dimer levels on admission in ICCU patients is an independently poor prognostic factor for in-hospital morbidity and 1-year overall mortality rate following hospitalization.
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Affiliation(s)
- Moshe Rav Acha
- Department of Cardiology, Jesselson Integrated Heart Center, 26743Shaare Zedek Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Louay Taha
- Department of Cardiology, Jesselson Integrated Heart Center, 26743Shaare Zedek Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Anna Turyan
- Department of Cardiology, Jesselson Integrated Heart Center, 26743Shaare Zedek Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Rivka Farkash
- Department of Cardiology, Jesselson Integrated Heart Center, 26743Shaare Zedek Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Feras Bayya
- Department of Cardiology, Jesselson Integrated Heart Center, 26743Shaare Zedek Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Mohammad Karmi
- Department of Cardiology, Jesselson Integrated Heart Center, 26743Shaare Zedek Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Yoed Steinmetz
- Department of Cardiology, Jesselson Integrated Heart Center, 26743Shaare Zedek Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Fauzi Fadi Shaheen
- Department of Cardiology, Jesselson Integrated Heart Center, 26743Shaare Zedek Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Nimrod Perel
- Department of Cardiology, Jesselson Integrated Heart Center, 26743Shaare Zedek Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Kamal Hamayel
- Department of Cardiology, Jesselson Integrated Heart Center, 26743Shaare Zedek Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Nir Levi
- Department of Cardiology, Jesselson Integrated Heart Center, 26743Shaare Zedek Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Hani Karameh
- Department of Cardiology, Jesselson Integrated Heart Center, 26743Shaare Zedek Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Ariella Tvito
- Department of Cardiology, Jesselson Integrated Heart Center, 26743Shaare Zedek Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Michael Glikson
- Department of Cardiology, Jesselson Integrated Heart Center, 26743Shaare Zedek Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Elad Asher
- Department of Cardiology, Jesselson Integrated Heart Center, 26743Shaare Zedek Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
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