Objective To investigate the risk factors and prevention methods of the venous thromboembolism (VTE) after hepatectomy. Methods The literatures about VTE after hepatectomy in recent years at home and abroad were reviewed and summarized. Results The risk factors for postoperative VTE include tumor, male, old age, massive hepatectomy, hypercoagulability, etc. The incidence of VTE in patients with massive hepatectomy is significantly higher, which is closely related to the hypercoagulability caused by postoperative liver dysfunction. Effective prophylaxis include mechanical methods and anticoagulant drugs, the latter of which can markedly reduce the incidence of VTE. For patients who develop postoperative liver insufficiency, including those with cirrhosis and high risk of bleeding, anticoagulant VTE prophylaxis dosing decisions should be made with caution. In addition, it is rationale for extended thromboprophylaxis in high risk patients. Conclusions VTE is a common complication after hepatectomy, resulting in prolonged postoperative hospital stay and increased postoperative mortality. Therefore, it is important to determine the risk of VTE after surgery to improve the prognosis of patients after hepatectomy.
ObjectiveTo evaluate efficacy and safety of early anticoagulation therapy with low molecular weight heparin (LMWH) in prevention of venous thromboembolism (VTE) after pancreatoduodenectomy (PD).MethodsThe patients who received PD in our hospital from January 2017 to December 2018 were collected retrospectively, then were divided into the anticoagulant group and the non-anticoagulant group. The operation time, intraoperative blood loss, tumor property, coagulation function indexes such as prothrombin time (PT), PT activity (PTA), fibrinogen (FIB), activated partial thromboplastin time (APTT), thrombin time (TT), and D-dimer (DD), platelet (PLT), VTE, bleeding related complications etc. were compared between the two groups.ResultsA total of 103 patients underwent PD were included in this study, including 52 patients in the anticoagulant group and 51 patients in the non-anticoagulant group. There were no significant differences in the baseline data such as the gender, age, and preoperative coagulation function indexes, etc. between the two groups (P>0.05). The incidence of VTE in the anticoagulant group was lower than that in the non-anticoagulant group (13.5% versus 47.1%, P<0.001). There was no significant difference in the incidence of bleeding between the anticoagulant group and the non-anticoagulant group (9.6% versus 7.8%, P>0.05). There were no statistically significant differences in the coagulation indexes between the two groups before operation and day 1 after operation (P>0.05). On day 8 after operation, the FIB and DD values of the anticoagulant group were significantly lower than those of the non-anticoagulant group (P values were 0.040 and 0.002, respectively). A comparison of different phases in the same group on coagulation indexes between day 8 and day 1 after surgery showed that there were statistically significant differences (P<0.05), the changes of all indexes were within the normal range.ConclusionThe results of this study indicate that LMWH administered at 24 h after PD could decrease incidence of VTE and don’t increase risk of bleeding.
Venous thromboembolism (VTE), comprising both deep vein thrombosis and pulmonary embolism, is a chronic illness that contributes significantly to the global burden of disease. The American College of Chest Physicians (ACCP) published the 9th edition of antithrombotic treatment guidelines for VTE (AT9) in 2012, which was first updated in 2016. In October 2021, ACCP published the 2nd update to AT9, which addressed 17 clinical questions related to VTE and presented 29 guidance statements in total. In this paper we interpreted the recommendations proposed in this update of the guidelines.
Objective To explore the correlation between risk factors in respiratory department patients and the occurrence of venous thromboembolism (VTE), and to evaluate the optimization of the Padua score for predicting VTE occurrence in hospitalized respiratory patients based on these correlations. The effectiveness of the modified assessment model for VTE prediction was also validated. Methods A retrospective study was conducted, involving 51 VTE patients who were hospitalized in the Respiratory Department of Huaian First People’s Hospital from March 2019 to July 2023. These patients were compared with 1,600 non-VTE patients who were discharged during the same period. Clinical data, including medical history and laboratory test results, were retrospectively collected from both groups. The correlation between clinical data and VTE occurrence was analyzed, and highly relevant risk factors were incorporated into the Padua score. The modified Padua risk assessment model was applied to all patients and validated in a validation group. The scores from both the original and modified risk assessment models were compared to evaluate the effectiveness of the modified Padua score. Results Rank sum tests showed significant differences in basic information, such as age, BMI, and length of hospital stay, as well as laboratory tests including mean corpuscular volume, procalcitonin, albumin, alanine aminotransferase, aspartate aminotransferase, urea, and D-dimer (P<0.05). Univariate and multivariate logistic regression analyses revealed that newly identified high-risk factors for VTE included hypoalbuminemia (OR=2.972), blood transfusion (OR=47.035), and mechanical ventilation (OR=6.782) (P<0.05). Receiver operating characteristic curve analysis showed that the sensitivity and specificity of the modified Padua score were higher than those of the original version. The area under the curve (AUC) difference was 0.058, with a Z-test value of 2.442, showing statistical significance (P<0.05). Conclusions The modified Padua score demonstrated superior predictive ability for VTE in hospitalized respiratory patients compared to the original Padua score.
Inpatients after COVID-19 infection, especially those admitted to intensive care unit (ICU), may encounter a series of coagulation dysfunction, which may lead to thrombosis, such as pulmonary embolism (PE), deep vein thrombosis (DVT) or arterial thrombosis (AT). Although there are many literatures on the incidence rate, prevention and treatment of venous thromboembolism (VTE) in hospitalized patients with COVID-19 infection, there are few data on the symptomatic and subclinical incidence rate of VTE after COVID-19 infection discharge. Therefore, there are no specific recommendations or guidelines for the prevention of VTE after discharge from hospital due to COVID-19 infection, and the current guidelines are controversial. In this study, we reviewed and summarized the existing literature on the incidence rate, prevention, diagnosis and treatment of venous thromboembolism in patients with COVID-19 infection, in order to provide guidance for VTE prevention in patients with COVID-19 infection after discharge.
Objective To summarize the general situation of perioperative venous thromboembolism (VTE) and summarize the perioperative antithrombotic strategies. Methods Domestic and international literatures and guidelines on antithrombotic therapy were collect and reviewed. Results VTE was common during the perioperative period. Reasonable assessment of each patient’s condition during the perioperative period, as well as reasonable use of anticoagulant, antiplatelet drugs, and hemostatic agents could reduce the incidence of VTE events during the perioperative period. Conclusions Clinicians need to properly assess the timing of the usage and discontinuation of antithrombotic drugs, weigh the risk of thrombosis and bleeding, develop a rational and scientific antithrombotic strategy based on the specific circumstances of each patient. Simultaneously, hemostatic agents need to be prescribed perioperatively to reduce the incidence of thromboembolic complications.
ObjectiveThe aim of this study was to investigate the value of Artificial Neural Networks (ANNs) in predicting the occurrence of Venous Thromboembolism (VTE) in patients with Obstructive Sleep Apnea (OSA), and to compare it with traditional Logistic regression models to assess its predictive efficacy, providing theoretical basis for the prediction of VTE risk in OSA patients. MethodsA retrospective analysis was conducted on patients diagnosed with OSA and hospitalized in the Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Kunming Medical University, from January 2018 to August 2023. Patients were divided into OSA combined with VTE group (n=128) and pure OSA control group (n=680). The dataset was randomly divided into a training set (n=646) and an independent validation set (n=162). The Synthetic Minority Oversampling Technique (SMOTE) was employed to address the issue of data imbalance. Artificial Neural Networks and Logistic regression models were then built on training sets with and without SMOTE. Finally, the performance of each model was evaluated using accuracy, sensitivity, specificity, Youden's index, and Area Under the Receiver Operating Characteristic Curve (AUC). Results When oversampling was conducted using SMOTE on the training set, both the Artificial Neural Network and Logistic regression models showed improved AUC. The Artificial Neural Network model with SMOTE performed the best with an AUC value of 0.935 (95%CI: 0.898–0.961), achieving an accuracy of 90.15%, specificity of 87.32%, sensitivity of 93.44%, and Youden’s index of 0.808 at the optimal cutoff point. The Logistic regression model with SMOTE yielded an AUC value of 0.817 (95%CI: 0.765–0.861), with an accuracy of 77.27%, specificity of 83.80%, sensitivity of 69.67%, and Youden's index of 0.535. The difference in AUC between the Artificial Neural Network model and Logistic regression model was statistically significant after employing SMOTE (P<0.05). Conclusions The Artificial Neural Network model demonstrates high effectiveness in predicting VTE formation in OSA patients, particularly with the further improvement in predictive performance when utilizing SMOTE oversampling technique, rendering it more accurate and stable compared to the traditional Logistic regression model.
Objective To investigate the effect of rivaroxaban on the risk of bleeding after total knee arthroplasty (TKA). Methods A total of 119 cases undergoing primary TKA because of knee osteoarthritis between June 2009 and May 2011, were randomly divided into the rivaroxaban group (59 cases) and the control group (60 cases). There was no significant difference in gender, age, height, weight, side, disease duration, and grade of osteoarthritis between 2 groups (P gt; 0.05). Thepreoperative preparation and operative procedure of 2 groups were concordant. At 1-14 days after TKA, rivaroxaban 10 mg/d were taken orally in the rivaroxaban group, and placebo were given in the control group. The blood routine examination was performed before operation and at 2 days postoperatively; the total blood loss and hemoglobin (HGB) decrease were calculated according to the formula; the blood loss, postoperative wound drainage, and wound exudate after extubation were recorded to calculate the dominant amount of blood loss; and the bleeding events were recorded within 35 days postoperatively. Results The total blood loss and HGB decrease were (1 198.34 ± 222.06) mL and (33.29 ± 4.99) g/L in the rivaroxaban group and were (1 124.43 ± 261.01) mL and (31.57 ± 6.17) g/L in the control group, showing no significant difference (P gt; 0.05); the postoperative dominant blood loss in the rivaroxaban group [(456.22 ± 133.12) mL] was significantly higher than that in the control group [(354.53 ± 96.71) mL] (t=4.773, P=0.000). The bleeding events occurred in 3 cases (5.1%) of the rivaroxaban group and in 1 case (1.7%) of the control group, showing no significant difference (χ2=1.070, P=0.301). Conclusion Rivaroxaban has some effects on the risk of bleeding after TKA. In general, rivaroxaban is safe.
Objective To systematically review venous thromboembolism (VTE) risk assessment tools. Methods The Embase, PubMed, CNKI, CBM, WanFang Data, VIP databases and 22 relevant institutions and associations were searched to identify all VTE assessment tools from inception to December 31, 2022. Two researchers independently screened the literature, extracted data, and cross-checked the data. A qualitative analysis was used to describe the country's essential characteristics, publishing organization, year, applicable disease type, applicable population, tool formation method, etc. Key elements and techniques were compared in terms of evaluation dimension, methods, and procedures to form the tool, risk stratification ability, and whether to verify. Results A total of 42 VTE risk assessment tools were included, of which 16 were in the United States, and only 4 were in China. They were released between 1996 and 2021, and the applicable disease types and populations differ. Nineteen tools were constructed based on case-control or retrospective cohort studies, 16 were conducted using prospective cohort studies, and 5 were based on cross-sectional and RCT studies; Additionally, 20 tools were built based on logistic regression models; The evaluation dimensions of each tool differed, and the most common frequency of occurrences were VTE history, age, BMI value, and confirmed tumor, accounting for 64.29%, 54.76%, 54.76%, and 47.62%, respectively. Thirty-three tools were stratified for risk, and 30 tools were presented in the form of risk scores; Some tools lacked clinical validation data, and only 12 tools were analyzed for specificity, sensitivity, NPV, PPV, and AUC. Conclusion The evaluation dimensions and evidence sources of existing VTE risk assessment tools are not completely consistent, the implementation methods and results presentation forms of the tools are not completely the same, and the scope of application is different; Some tool construction methods and processes are not clear enough, and there is a lack of validation research on external validity, which has certain limitations in promoting clinical practice in China.
Objective To study the correlation of preoperative hemoglobin amount with venous thromboembolism (VTE) after surgical treatment of bronchiectasis and the clinical significance. Methods A retrospective study was performed on patients with bronchiectasis who underwent surgical treatment in our center from June 2017 to November 2021. The differences in blood parameters between the VTE patients and non-VTE patients were compared. The relationship between preoperative hemoglobin and VTE was confirmed by quartile grouping and receiver operating characteristic (ROC) curve. Results A total of 122 patients were enrolled, including 50 males and 72 females, with a mean age of 52.52±12.29 years. The overall incidence of VTE after bronchiectasis was 9.02% (11/122). Preoperative hemoglobin amount (OR=0.923, 95%CI 0.870-0.980, P=0.008) and D-dimer amount (OR=1.734, 95%CI 1.087-2.766, P=0.021) were independent influencing factors for VTE after bronchiectasis. The incidence of VTE after bronchiectasis decreased gradually with the increase of preoperative hemoglobin amount. The area under the ROC curve (AUC) of postoperative D-dimer alone was 0.757, whereas the AUC of postoperative D-dimer combined with preoperative hemoglobin amount was 0.878. Conclusion Low preoperative hemoglobin is an independent risk factor for postoperative VTE. Postoperative D-dimer combined with preoperative hemoglobin amount has a better predictive performance compared with postoperative D-dimer alone for postoperative VTE.