Deep Venous Thrombosis

HOXD9 regulated mitophagy to promote endothelial progenitor cells angiogenesis and deep vein thrombosis recanalization and resolution

BACKGROUND

Deep vein thrombosis (DVT) is a common vascular surgical disease caused by the coagulation of blood in the deep veins, and predominantly occur in the lower limbs. Endothelial progenitor cells (EPCs) are multi-functional stem cells, which are precursors of vascular endothelial cells. EPCs have gradually evolved into a promising treatment strategy for promoting deep vein thrombus dissolution and recanalization through the stimulation of various physical and chemical factors.

METHODS

In this study, we utilized a mouse DVT model and performed several experiments including qRT-PCR, Western blot, tube formation, wound healing, Transwell assay, immunofluorescence, flow cytometry analysis, and immunoprecipitation to investigate the role of HOXD9 in the function of EPCs cells. The therapeutic effect of EPCs overexpressing HOXD9 on the DVT model and its mechanism were also explored.

RESULTS

Overexpression of HOXD9 significantly enhanced the angiogenesis and migration abilities of EPCs, while inhibiting cell apoptosis. Additionally, results indicated that HOXD9 specifically targeted the HRD1 promoter region and regulated the downstream PINK1-mediated mitophagy. Interestingly, intravenous injection of EPCs overexpressing HOXD9 into mice promoted thrombus dissolution and recanalization, significantly decreasing venous thrombosis.

CONCLUSIONS

The findings of this study reveal that HOXD9 plays a pivotal role in stimulating vascular formation in endothelial progenitor cells, indicating its potential as a therapeutic target for DVT management.

Preliminary clinical analysis and pathway study of S100A8 as a biomarker for the diagnosis of acute deep vein thrombosis

Herein, we aimed to identify blood biomarkers that compensate for the poor specificity of D-dimer in the diagnosis of deep vein thrombosis (DVT). S100A8 was identified by conducting protein microarray analysis of blood samples from patients with and without DVT. We used ELISA to detect S100A8, VCAM-1, and ICAM-1 expression levels in human blood and evaluated their correlations. Additionally, we employed human recombinant protein S100A8 to induce human umbilical vein endothelial cells and examined the role of the TLR4/MAPK/VCAM-1 and ICAM-1 signaling axes in the pathogenic mechanism of S100A8. Simultaneously, we constructed a rat model of thrombosis induced by inferior vena cava stenosis and detected levels of S100A8, VCAM-1, and ICAM-1 in the blood of DVT rats using ELISA. The associations of thrombus tissue, neutrophils, and CD68-positive cells with S100A8 and p38MAPK, TLR4, and VCAM-1 expression levels in vein walls were explored. The results revealed that blood S100A8 was significantly upregulated during the acute phase of DVT and activated p38MAPK expression by combining with TLR4 to enhance the expression and secretion of VCAM-1 and ICAM-1, thereby affecting the occurrence and development of DVT. Therefore, S100A8 could be a potential biomarker for early diagnosis and screening of DVT.

Incidental deep venous thrombosis diagnosed on lower extremity computed tomography is a rare but clinically impactful finding

BACKGROUND

In the setting of a known thrombotic event, computed tomography (CT) studies provide reasonable sensitivity for the diagnosis of deep venous thrombosis (DVT). However, the incidence and accuracy of a DVT diagnosis on CT studies not targeted for the detection of DVT are not well described. In addition, the clinical impact of DVTs incidentally identified on CT is unknown.

METHODS

In this single-institution retrospective study, we queried all contrasted CT studies of the lower extremities performed over a 10-year period. Regular expressions applied to the radiology reports associated with the CT studies identified studies with positive findings associated with DVT. These selected reports were then manually reviewed to confirm the presence of a DVT. Patient demographics and relevant medical and surgical history were obtained through a chart review. Follow-up information was obtained for 1 year after the incident CT and included treatment course, additional imaging, and adverse events. An incidental DVT was one identified in a patient in whom the DVT was not noted in a prior study and for whom the study indication did not include concern for DVT or pulmonary embolism.

RESULTS

Of 16,637 lower extremity contrasted CT studies queried, 37 study reports identified a DVT. However, only 13 patients had a finding of an incidental DVT (10-year incidence of 0.08%). Among these 13 patients, 11 underwent additional imaging, including 9 who had a subsequent venous duplex and 2 who had subsequent CT studies. Among those with a subsequent duplex, DVT was not identified in eight cases, whereas in one case, DVT was confirmed. Among those with subsequent CT studies, DVT was not identified in one case and was confirmed in one case. Of the 13 patients with incidental DVTs, 3 were initiated on anticoagulation based on their initial CT findings alone. Among these, two did not experience any complications from their DVT or anticoagulation regimen. One did experience major bleeding complications, requiring additional procedures.

CONCLUSIONS

Incidental DVTs are a rare finding in lower extremity CT studies, noted to occur in only 0.08% of studies. Most patients with incidental DVTs receive additional imaging, with negative findings in 80% of cases. This study identified that 23% of patients were initiated on anticoagulation due to the CT findings, with a 33% rate of significant complications. Currently, a CT venogram is not recommended as a first-line modality for the diagnosis of DVT. However, there is no guidance regarding the need for repeat imaging in patients with incidentally diagnosed lower extremity DVTs identified on CT. Additional study is needed to provide evidence for guideline development.

Diagnosis and treatment of deep vein thrombosis of the lower and upper limbs. 2024 recommendations of the venous thromboembolism group of the Spanish Society of Internal Medicine

Deep vein thrombosis (DVT) of the limbs is a common disease and causes significant morbidity and mortality. It is frequently the prelude to pulmonary embolism (PE), it can recur in 30% of patients and in 25-40% of cases they can develop post-thrombotic syndrome (PTS), with a significant impact in functional status and quality of life. This document contains the recommendations on the diagnosis and treatment of acute DVT from the Thromboembolic Disease group of the Spanish Society of Internal Medicine (SEMI). PE and thrombosis of unusual venous territories (cerebral, renal, mesenteric, superficial, etc.) are outside its scope, as well as thrombosis associated with catheter and thrombosis associated with cancer, which due to their peculiarities will be the subject of other positioning documents of the Thromboembolic Disease group of the Spanish Society of Internal Medicine (SEMI).

Hemorrhage induced by antithrombotic agents: new insights from a real-world pharmacovigilance study

BACKGROUND

Hemorrhage represents the most common and serious side effect of antithrombotic agents. Many studies have compared the risk of bleeding between different antithrombotic agents, but analysis of time-to-onset for hemorrhage induced by these drugs is yet sparse.

METHODS

We conducted a retrospective study based on the adverse drug reaction reports on antithrombotic agents collected by the Henan Adverse Drug Reaction Monitoring Center. We assessed the reporting odds ratio to determine the disproportionate reporting signals for bleeding and the Weibull shape parameter was used to evaluate the time-to-onset data.

RESULTS

In the signal detection, crude low molecular weight heparin-hemorrhage was found as a positive signal. The hemorrhage for most antithrombotic agents was random failure profiles. In particular, the hazard of hemorrhage decreased over time for warfarin and clopidogrel and increased for alteplase, nadroparin, and dipyridamole.

CONCLUSION

We found that the risk of bleeding in patients taking Crude low molecular weight heparins was significantly higher compared to other antithrombotic agents, but with a small magnificence, which may be attributed to the severely irrational use of this medication under improper management. Statistics in days, results showed that the risk of bleeding decreased over time for warfarin and clopidogrel and increased for alteplase, nadroparin, and dipyridamole.

Construction and validation of a perioperative concomitant lower extremity deep vein thrombosis line graph model in patients with aneurysmal subarachnoid hemorrhage

Background

To develop and validate a nomogram for predicting the probability of deep venous thrombosis (DVT) in patients with aneurysmal subarachnoid hemorrhage (aSAH) during the perioperative period, using clinical features and readily available biochemical parameters.

Methods

The least absolute shrinkage and selection operator (LASSO) regression technique was employed for data dimensionality reduction and selection of predictive factors. A multivariable logistic regression analysis was conducted to establish a predictive model and nomogram for post-aSAH DVT. The discriminative ability of the model was determined by calculating the area under the curve (AUC).

Results

A total of 358 aSAH patients were included in the study, with an overall incidence of DVT of 20.9%. LASSO regression identified four variables, including age, modified Fisher grade, total length of hospital stay, and anticoagulation therapy, as highly predictive factors for post-aSAH DVT. The patients were randomly divided into a modeling group and a validation group in a 6:4 ratio to construct the nomogram. The AUCs of the modeling and validation groups were 0.8511 (95% CI, 0.7922-0.9099) and 0.8633 (95% CI, 0.7968-0.9298), respectively.

Conclusions

The developed nomogram exhibits good accuracy, discriminative ability, and clinical utility in predicting DVT, aiding clinicians in identifying high-risk individuals and implementing appropriate preventive and treatment measures.

Appraising the quality standard of clinical practice guidelines related to central venous catheter-related thrombosis prevention: a systematic review of clinical practice guidelines

OBJECTIVE

To evaluate the quality and analyse the content of clinical practice guidelines regarding central venous catheter-related thrombosis (CRT) to provide evidence for formulating an evidence-based practice protocol and a risk assessment scale to prevent it.

DESIGN

Scoring and analysis of the guidelines using the AGREE II and AGREE REX scales.

DATA SOURCES

Pubmed, Embase, Cochrane Library, Web of Science, CNKI, Wanfang, VIP, and the Chinese Biomedical Literature, and the relevant websites of the guideline, were searched from 1 January 2017 to 26 March 2022.

ELIGIBILITY CRITERIA

Guidelines covering CRT treatment, prevention, or management were included from 1 January 2017 to 26 March 2022.

DATA EXTRACTION AND SYNTHESIS

Three independent reviewers systematically trained in using the AGREE II and AGREE REX scales were selected to evaluate these guidelines.

RESULTS

Nine guidelines were included, and the quality grade results showed that three were at A-level and six were at B-level. The included guidelines mainly recommended the prevention measure of central venous CRT from three aspects: risk screening, prevention strategies, and knowledge training, with a total of 22 suggestions being recommended.

CONCLUSION

The overall quality of the guidelines is high, but there are few preventive measures for central venous CRT involved in the guidelines. All preventive measures have yet to be systematically integrated and evaluated, and no risk assessment scale dedicated to this field has been recommended. Therefore, developing an evidence-based practice protocol and a risk assessment scale to prevent it is urgent.

Disordered gut microbiota and alterations in the serum metabolome are associated with venous thromboembolism

INTRODUCTION

The gut microbiome plays a crucial role in various diseases, and its regulation is a potential treatment option for these conditions. However, the relationship between the gut microbiome and venous thromboembolism (VTE) remains poorly explored.

METHODS

In this study, we collected feces and serum samples from 8 VTE patients and 7 healthy controls. The gut microbiota and serum metabolites were analyzed using 16S rRNA gene sequencing and liquid chromatography-mass spectrometry, respectively. Additionally, a combined analysis of microbiota and metabolome was performed.

RESULTS

The alpha and beta diversity between the VTE and control groups were significantly different. Patients with VTE exhibited an overgrowth of Blautia, Roseburia, Coprococcus, and Ruminococcus. Moreover, serum metabolomics analysis revealed altered levels of choline and lithocholic acid. Pathway enrichment analysis indicated a significant upregulation of bile secretion pathways. In addition, a positive correlation was observed between the levels of serum choline and lithocholic acid and the abundance of gut flora enriched in the VTE group.

CONCLUSION

This study provided novel insights into the disordered gut microbiota and serum metabolome associated with VTE, suggesting potential common pathological mechanisms between VTE and arterial thrombosis. Targeted modulation of the gut microbiome may hold promise as a preventive and therapeutic approach for VTE.

Knowledge of deep vein thrombosis among nursing interns: A cross-sectional study

AIM

The aims of this study were: (1) to validate whether the Knowledge and Practices of Nurses on Deep Vein Thrombosis Risks and Prophylaxis Knowledge (KPNDVT-K) subscale could effectively measure the level of DVT knowledge of nursing interns; (2) to determine the level of DVT knowledge of nursing interns; and (3) to analyse the factors affecting the level of DVT knowledge of nursing interns.

BACKGROUND

The effective prevention of deep vein thrombosis (DVT) in patients requires nursing staff to have a solid knowledge base of DVT. The level of knowledge about DVT among nursing interns ultimately affects their ability to play an important role in DVT prevention as a qualified nurse. To improve DVT prevention, the current level of knowledge needs to be explored.

DESIGN

This was a cross-sectional survey.

METHODS

Basic information was collected from the nursing interns. The KPNDVT-K subscale was used to assess the level of knowledge of DVT among nursing interns.

RESULTS

The KPNDVT-K subscale was used to measure the DVT knowledge of nursing interns with good reliability and validity (difficulty p=0.304-0.426; differentiation D=0.422-0.540; Cronbach's alpha =0.724-0.950; R=0.766). The passing rate for the nursing interns' DVT knowledge was 75.1%, which was in the middle level. Sex (β=-1.471, P=0.007), Home location (β=-0.627, P=0.014), Understanding of channels (hospital teachers) (β=0.688, P=0.008), Internship (β=-1.625, P=0.035; β=-1.435, P=0.038) were the main influences on nursing interns' knowledge of DVT.

CONCLUSIONS

The KPNDVT-K subscale has high applicability in the measurement of DVT knowledge of nursing interns. The knowledge of DVT among nursing interns was satisfactory and the knowledge related to DVT preventive measures was good. Nursing educators should take active measures in both schools and hospitals to improve the DVT knowledge of nursing interns to reduce the occurrence of DVT in patients.

A Nomogram Model to Predict Deep Vein Thrombosis Risk After Surgery in Patients with Hip Fractures

Aims

This study aimed to establish a nomogram model for predicting the probability of postoperative deep vein thrombosis (DVT) risk in patients with hip fractures.

Methods

504 patients were randomly assigned to the training set and validation set, and then divided into a DVT group and a non-DVT group. The study analysed the risk factors for DVT using univariate and multivariate analyses. Based on these parameters, a nomogram model was constructed and validated. The predicting performance of nomogram was evaluated by discrimination, calibration, and clinical usefulness.

Results

The predictors contained in the nomogram model included age, surgical approach, 1-day postoperative D-dimer value and admission ultrasound diagnosis of the lower limb vein. Furthermore, the area under the ROC curve (AUC) for the specific DVT risk-stratification nomogram model (0.815; 95% CI 0.746-0.884) was significantly higher than the current model (Caprini) (0.659; 95% CI 0.572-0.746, P < 0.05). According to the calibration plots, the prediction and actual observation were in good agreement. In the range of threshold probabilities of 0.2-0.8, the predictive performance of the model on DVT risk could be maximized.

Conclusions

The current predictive model could serve as a reliable tool to quantify the possibility of postoperative DVT in hip fractures patients.

A bibliometric analysis in venous thromboembolism nursing (1999-2022): Current status and future prospects

Research on venous thromboembolism (VTE) in nursing has garnered significant attention. This study aimed to examine the characteristics of VTE nursing publications, offering valuable insights into the current state of the field and forecasting future trends. A comprehensive screening of global publications up to 2022 was conducted using the Web of Science Core Collection database to investigate VTE nursing. The search incorporated keywords such as 'venous thromboembolism', 'deep vein thrombosis', and 'pulmonary embolism' to identify relevant studies. A bibliometric analysis of these publications was performed using various visualisation tools such as VOSviewer and R software. A total of 675 papers on VTE nursing were identified, with the earliest publication dating back to 1999. The research involved 971 institutions from 43 countries, with the United States leading by contributing to 261 articles. Harvard University emerged as the most productive institution, and Heit, with 17 publications, was the most cited author. The journal Thrombosis Research published the highest number of papers (11). The frontiers of VTE nursing research are anticipated to continue focusing on topics such as epidemiology, risk factors, and VTE prevention and management.

Diagnostic and prognostic potential of long non-coding RNA NORAD in patients with acute deep vein thrombosis and its role in endothelial cell function

BACKGROUND

Deep venous thrombosis (DVT) is the common clinical cardiovascular disease, and easily develops into post-thrombotic syndrome (PTS). The study aimed to examine the clinical value of long non-coding RNA NORAD gene in the development of DVT and PTS. In vitro, the underlying mechanism was explored.

METHODS

Serum levels of lncRNA NORAD gene in 85 DVT cases and 85 healthy individuals were tested. The role of lncRNA NORAD gene in human umbilical vein endothelial cells (HUVECs) proliferation, migration and inflammation was examined. The candidate downstream target gene was predicted via bioinformatic analysis. Gene ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were done for the function annotation and pathway enrichment.

RESULTS

LncRNA NORAD gene was at high expression in the serum of DVT patients, it can distinguish DVT patients from healthy controls with the area under the curve of 0.919. Elevated expression of lncRNA NORAD gene in PTS patients was detected, DVT cases with high expression of lncRNA NORAD gene were more susceptible to PTS. LncRNA NORAD gene knockdown promoted HUVECs' proliferation, migration while suppressing cell apoptosis and inflammation. MiR-93-5p served as a target of lncRNA NORAD gene, and its overexpression reversed the role of lncRNA NORAD gene in the biological function of HUVECs. The target genes of miR-93-5p were enriched in HIF-1 signaling, TGF-beta signaling and PI3K-Akt signaling, protein-protein interaction (PPI) network indicated STAT3, MAPK1 to be the key targets.

CONCLUSIONS

Upregulation of expression of lncRNA NORAD gene was a potential diagnostic biomarker for DVT and related to the development of PTS. LncRNA NORAD/miR-93-5p axis was involved in the progress of DVT through regulating endothelial cell function.

Comparative study of two models predicting the risk of deep vein thrombosis progression in spinal trauma patients after operation

OBJECTIVE

Patients with preoperative deep vein thrombosis (DVT) exhibit a notable incidence of postoperative deep vein thrombosis progression (DVTp), which bears a potential for silent, severe consequences. Consequently, the development of a predictive model for the risk of postoperative DVTp among spinal trauma patients is important.

METHODS

Data of 161 spinal traumatic patients with preoperative DVT, who underwent spine surgery after admission, were collected from our hospital between January 2016 and December 2022. The least absolute shrinkage and selection operator (LASSO) combined with multivariable logistic regression analysis was applied to select variables for the development of the predictive logistic regression models. One logistic regression model was formulated simply with the Caprini risk score (Model A), while the other model incorporated not only the previously screened variables but also the age variable (Model B). The model's capability was evaluated using sensitivity, specificity, positive predictive value, negative predictive value, accuracy, F1 score, and receiver operating characteristic (ROC) curve. Nomograms simplified and visually presented Model B for the clinicians and patients to understand the predictive model. The decision curve was used to analyze the clinical value of Model B.

RESULTS

A total of 161 DVT patients were enrolled in this study. Postoperative DVTp occurred in 48 spinal trauma patients, accounting for 29.81% of the total patient enrolled. Model A inadequately predicted postoperative DVTp in spinal trauma patients, with ROC AUC values of 0.595 for the training dataset and 0.593 for the test dataset. Through the application of LASSO regression and multivariable logistic regression, a screening process was conducted for seven risk factors: D-dimer, blood platelet, hyperlipidemia, blood group, preoperative anticoagulant, spinal cord injury, lower extremity varicosities. Model B demonstrated superior and consistent predictive performance, with ROC AUC values of 0.809 for the training dataset and 0.773 for the test dataset. According to the calibration curves and decision curve analysis, Model B could accurately predict the probability of postoperative DVTp after spine surgery. The nomograms enhanced the interpretability of Model B in charts and graphs.

CONCLUSIONS

In summary, we established a logistic regression model for the accurate predicting of postoperative deep vein thrombosis progression in spinal trauma patients, utilizing D-dimer, blood platelet, hyperlipidemia, blood group, preoperative anticoagulant, spinal cord injury, lower extremity varicosities, and age as predictive factors. The proposed model outperformed a logistic regression model based simply on CRS. The proposed model has the potential to aid frontline clinicians and patients in identifying and intervening in postoperative DVTp among traumatic patients undergoing spinal surgery.

Nomogram for predicting postoperative deep vein thrombosis in patients with spinal fractures caused by high-energy injuries

OBJECTIVE

Deep venous thrombosis (DVT) is a common complication in patients with spinal fractures caused by high-energy injuries. Early identification of patients at high risk of postoperative DVT is essential for the prevention of thrombosis. This study aimed to develop and validate a prediction model based on a nomogram to predict DVT in patients with spinal fractures caused by high-energy injuries.

METHODS

Clinical data were collected from 936 patients admitted to our hospital between January 2016 and December 2021 with spinal fractures caused by high-energy injuries. Multivariate logistic regression analysis was used to identify the risk factors for postoperative DVT and to develop a nomogram. The predictive performance of the nomogram was evaluated by the receiver operating characteristic (ROC) curve and calibration curve.

RESULTS

The incidence of preoperative DVT was 15.38% (144/936). The postoperative incidence of DVT was 20.5% (192/936). The multivariate analysis revealed that age, operation time, blood transfusion, duration of bed rest, American Spinal Injury Association (ASIA) score and D-dimer were risk factors for postoperative DVT. The area under the ROC curve of the nomogram was 0.835 and the calibration curve showed good calibration.

CONCLUSIONS

The nomogram showed a good ability to predict postoperative DVT in patients with spinal fractures caused by high-energy injuries, which may benefit pre- and postoperative DVT prophylaxis strategy development.

Nomogram for Risk of Secondary Venous Thromboembolism in Stroke Patients: A Study Based on the MIMIC-IV Database

This study aims to identify risk factors for secondary venous thromboembolism (VTE) in stroke patients and establish a nomogram, an accurate predictor of probability of VTE occurrence during hospitalization in stroke patients. Medical Information Mart for Intensive Care IV (MIMIC-IV) database of critical care medicine was utilized to retrieve information of stroke patients admitted to the hospital between 2008 and 2019. Patients were randomly allocated into train set and test set at 7:3. Univariate and multivariate logistic regression analyses were used to identify independent risk factors for secondary VTE in stroke patients. A predictive nomogram model was constructed, and the predictive ability of the nomogram was evaluated using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). This study included 266 stroke patients, with 26 patients suffering secondary VTE after stroke. A nomogram for predicting risk of secondary VTE in stroke patients was built according to pulmonary infection, partial thromboplastin time (PTT), log-formed D-dimer, and mean corpuscular hemoglobin (MCH). Area under the curve (AUC) of the predictive model nomogram was 0.880 and 0.878 in the train and test sets, respectively. The calibration curve was near the diagonal, and DCA curve presented positive net benefit. This indicates the model's good predictive performance and clinical utility. The nomogram effectively predicts the risk probability of secondary VTE in stroke patients, aiding clinicians in early identification and personalized treatment of stroke patients at risk of developing secondary VTE.

Long-term survival in venous thromboembolic disease: rivaroxaban vs. warfarin - propensity score matching study

BACKGROUND

Venous thromboembolic disease (VTE) is characterized by obstruction of venous blood flow by a thrombus. Survival data, frequency of disease recurrence, and bleeding rate in patients on anticoagulant therapy with warfarin compared to rivaroxaban in the Latin American population are limited in VTE.

METHODS

A retrospective cohort study with propensity score matching analysis was conducted in patients with pulmonary embolism and/or deep vein thrombosis anticoagulated with warfarin or rivaroxaban treated. Survival analysis was performed using a Kaplan-Meier curve for each of the intervention groups, and it was compared using a Log Rank test.

RESULTS

Of 2193 potentially eligible patients with a suspected diagnosis of VTE, 505 patients entered the analysis; of these, 285 subjects were managed with warfarin and 220 anticoagulated with rivaroxaban. Major bleeding at 12 months occurred in 2.7% (6/220) of patients treated with Rivaroxaban, compared to 10.2% (29/285) in the Warfarin group in the unmatched population (p = 0.001). In the matched population, bleeding at 12 months occurred in 2.9% (6/209) of patients on Rivaroxaban and in 11.0% (23/209) of patients on Warfarin (p = 0.001). The survival rates at 6 months were 97.1% for Rivaroxaban and 97.6% for Warfarin (p = 0.76). At 12 months, the survival rates were 94.7% for Rivaroxaban and 95.7% for Warfarin (p = 0.61).

CONCLUSION

In the treatment of VTE, there is no differences on 6 and 12-month survival or a reduction in the occurrence of new thromboembolic events when comparing rivaroxaban to warfarin. However, a lower risk of major bleeding is observed at 12 months with Rivaroxaban.

Comparison between canine and porcine models of chronic deep venous thrombosis

OBJECTIVE

To first induce chronic deep venous thrombosis in the left iliac veins of canines and porcines and then compare these two models to validate endovascular treatment devices.

METHODS

Thrombin and fibrinogen were used to produce a solid thrombus in the left iliac veins of a stenosis model. The researchers used venous angiography and histological staining to investigate the progression of thrombosis.

RESULTS

A left iliac vein thrombus was successfully formed in all experimental animals, including six Labrador dogs and three Bama miniature pigs, and there was minimal surgical bleeding. All dogs survived until 90 days, and three pigs died on Days 29, 33, and 58.

CONCLUSION

The researchers first established the models and then observed the progression of chronic deep venous thrombosis of the iliac vein in large animals for up to 90 days. Dogs are better suited for chronic deep venous thrombosis models due to their uncomplicated anatomy, excellent obedience, and proneness to physical activity compared with pigs.

Intensify Standardized Anticoagulation for Cancer-associated Pulmonary Embolism: From Single-center Real-world Data

PURPOSE

Pulmonary embolism (PE) is a significant contributor to mortality in patients with cancer. Although anticoagulation serves as the cornerstone of treatment for cancer-associated PE, it has not been emphasized in real-world settings. The aim of this study was to examine the impact of suboptimal anticoagulant treatment on the prognosis of cancer-associated PE.

METHODS

A cohort of 356 individuals newly diagnosed with acute PE were enrolled. The primary outcome of the study was recurrent venous thromboembolism (VTE), and the secondary outcomes were all-cause mortality and major bleeding (consisting of a reduction in the hemoglobin level by at least 20 g/L, transfusion of at least 2 units of blood, or symptomatic bleeding in a critical area or organ or fatal bleeding).

FINDINGS

Of the total participants, 156 (43.8%) were diagnosed with cancer. A comparison between the cancer and noncancer groups revealed that patients with cancer were more frequently asymptomatic (41.0% vs 4.5%; P < 0.001), less likely to have right ventricular dysfunction (4.5% vs 14.0%; P = 0.001), received less anticoagulant treatment during hospitalization (85.3% vs 98.5%; P < 0.001), and had a shorter duration of anticoagulation (5.02 [7.40] months vs 14.19 [10.65] months; P < 0.001). In addition, patients with cancer were found to be at a higher risk of recurrent VTE (17.3% vs 4.0%; P < 0.001) and all-cause mortality (23.7% vs 10.5%; P = 0.001). Multiple Cox regression analysis indicated that discontinuation of anticoagulation at 3 months was a significant risk factor for recurrent VTE in the cancer group (HR, 15.815; 95% CI, 3.047-82.079; P = 0.001).

IMPLICATIONS

The brief duration of anticoagulation therapy and elevated likelihood of recurrent VTE serve as cautionary indicators for the need to enhance awareness of standardized anticoagulant treatment for cancer-associated PE. The ultimate goal is to enhance patient prognosis and quality of life.

Association of prothrombin complexe concentrate with venous thrombosis after cardiac surgery: a case-control study

Background

Prothrombin complex concentrate (PCC) enhances coagulation and controls bleeding. We aimed to assess whether perioperative infusion of PCC is associated with venous thrombosis after cardiac surgery.

Methods

We conducted a case-control study of patients undergoing cardiac surgery at our hospital in 2021. Multivariate logistic regression was used to assess the correlation between perioperative PCC infusion and postoperative venous thrombosis in cardiac surgery. Stratified analysis was also performed by age, hospitalization days, and whether warfarin, warfarin combined with heparin, warfarin combined with antiplatelet drugs were used postoperatively.

Results

Data from 161 patients undergoing cardiac surgery were included in the analysis. Of these, 37 (23.0%) patients in the case group developed venous thrombosis, and 124 (77.0%) patients in the control group did not develop venous thrombosis. In the analysis without adjustment for confounders (model 1), perioperative PCC infusion significantly increased the risk of postoperative venous thrombosis (OR: 3.10, 95% CI: 1.26-7.59, P = 0.0135). In the model analysis adjusted for sex, age, and hospitalization days (model 2), perioperative PCC infusion was no longer significantly associated with the risk of postoperative venous thrombosis (OR: 1.76, 95% CI: 0.56-7.59, P = 0.3317). In the fully adjusted model (model 3), there was a marginally significant association between perioperative infusion of PCC and the risk of postoperative venous thrombosis (OR: 0.03, 95% CI: 0.00-1.23, P = 0.0637).

Conclusions

Our findings show no significant association between perioperative PCC infusion in cardiac surgery and the development of postoperative venous thrombosis. Randomized controlled trials are needed to determine the causal relationship between perioperative PCC infusion and venous thrombosis in cardiac surgery.

MiR-128-3p promotes the progression of deep venous thrombosis through binding SIRT1

OBJECTIVES

This research aimed to study the effect of microRNA-128-3p (miR-128-3p) on deep venous thrombosis (DVT).

METHOD

The 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay, Transwell chamber method, and flow cytometry technique were used in the cell experiments. Potential interconnection between miR-128-3p and silent information regulator sirtuin 1 (SIRT1) was revealed by luciferase activity. The concentration of miR-128-3p and mRNA SIRT1 was assessed by quantitative reverse transcription polymerase chain reaction (qRT-PCR). The receiver operating characteristic (ROC) curve was used to test the predictive effect of miR-128-3p in DVT.

RESULTS

Decreased miR-128-3p expression was beneficial to cell proliferation and migration and inhibited inflammation, apoptosis, and adhesion of human umbilical vein endothelial cells (HUVECs). The impacts of miR-128-3p on HUVECs were achieved by targeting SIRT1. MiR-128-3p was upregulated in patients with DVT, and it was of great significance in differentiating patients with DVT.

CONCLUSION

Overexpression of miR-128-3p might become a biomarker for patients with DVT.

Clinical efficacy of ZelanteDVT™ catheter rheolytic thrombectomy in the single-session treatment of patients with subacute deep venous thrombosis

OBJECTIVE

To evaluate the clinical efficacy and safety of novel ZelanteDVT™ catheter rheolytic thrombectomy in the single-session endovascular management of subacute deep venous thrombosis (DVT).

METHODS

A retrospective study was performed on 31 patients with subacute DVT who underwent ZelanteDVT™ catheter rheolytic thrombectomy. Procedure data, associated complications, and venous patency score were recorded. The deep venous patency and post-thrombotic syndrome (PTS) rate were assessed in all patients during follow-up visits.

RESULTS

After procedure, 19.4% (6/31) patients improved to grade III thrombus removal, while the remaining patients improved to grade II. Significant iliac vein compression syndrome was identified in 54.8% (17/31) patients, and 82.4% (14/17) of them received stent implantation. No serious procedure-related complications occurred. The median follow-up time was 13 months. The primary patency rate at 12 months was 83.87%, and the incidence of PTS was 19.35%.

CONCLUSION

This novel rheological thrombectomy catheter seems to have a promising application prospect for single-session treatment of subacute DVT.

A systematic evaluation and meta-analysis of early prediction of post-thrombotic syndrome

Objective

Post-thrombotic syndrome (PTS) is the most common long-term complication in patients with deep venous thrombosis, and the prevention of PTS remains a major challenge in clinical practice. Some studies have explored early predictors and constructed corresponding prediction models, whereas their specific application and predictive value are controversial. Therefore, we conducted this systematic evaluation and meta-analysis to investigate the incidence of PTS and the feasibility of early prediction.

Methods

We systematically searched databases of PubMed, Embase, Cochrane and Web of Science up to April 7, 2023. Newcastle-Ottawa Scale (NOS) was used to evaluate the quality of the included articles, and the OR values of the predictors in multi-factor logistic regression were pooled to assess whether they could be used as effective independent predictors.

Results

We systematically included 20 articles involving 8,512 subjects, with a predominant onset of PTS between 6 and 72 months, with a 2-year incidence of 37.5% (95% CI: 27.8-47.7%). The results for the early predictors were as follows: old age OR = 1.840 (95% CI: 1.410-2.402), obesity or overweight OR = 1.721 (95% CI: 1.245-2.378), proximal deep vein thrombosis OR = 2.335 (95% CI: 1.855-2.938), history of venous thromboembolism OR = 3.593 (95% CI: 1.738-7.240), history of smoking OR = 2.051 (95% CI: 1.305-3.224), varicose veins OR = 2.405 (95% CI: 1.344-4.304), and baseline Villalta score OR = 1.095(95% CI: 1.056-1.135). Meanwhile, gender, unprovoked DVT and insufficient anticoagulation were not independent predictors. Seven studies constructed risk prediction models. In the training set, the c-index of the prediction models was 0.77 (95% CI: 0.74-0.80) with a sensitivity of 0.75 (95% CI: 0.68-0.81) and specificity of 0.69 (95% CI: 0.60-0.77). In the validation set, the c-index, sensitivity and specificity of the prediction models were 0.74(95% CI: 0.69-0.79), 0.71(95% CI: 0.64-0.78) and 0.72(95% CI: 0.67-0.76), respectively.

Conclusions

With a high incidence after venous thrombosis, PTS is a complication that cannot be ignored in patients with venous thrombosis. Risk prediction scoring based on early model construction is a feasible option, which helps to identify the patient's condition and develop an individualized prevention program to reduce the risk of PTS.

Automating venous thromboembolism risk assessment: a dual-branch deep learning method using electronic medical records

Background

Venous thromboembolism (VTE) is a prevalent cardiovascular disease. Although risk assessment and preventive measures are effective, manual assessment is inefficient and covers a small population in clinical practice. Hence, it is necessary to explore intelligent methods for VTE risk assessment.

Methods

The Padua scale has been widely used in VTE risk assessment, and we divided its assessment into disease category judgment and comprehensive clinical information judgment according to the characteristics of the Padua scale. We proposed a dual-branch deep learning (DB-DL) assessment method. First, in the disease category branch, we propose a deep learning-based Padua disease classification model (PDCM) for determining patients' Padua disease categories by considering patients' diagnosis, symptoms, and symptom weights. In the branch of comprehensive clinical information, we use the Chinese lexical analysis (LAC) word separation technique, combined with professional corpus and rules, to extract and judge the comprehensive clinical factors in the electronic medical record (EMR).

Results

We validated the accuracy of the method with the Padua assessment results of 7,690 Chinese clinical EMRs. First, our proposed method allows for a fully automated assessment, and the average time to assess one patient is only 0.37 s. Compared to the gold standard, our method has an Area Under Curve (AUC) value of 0.883, a specificity value of 0.957, and a sensitivity value of 0.816 for assessing the Padua risk patient class.

Conclusion

Our DB-DL assessment method automates VTE risk assessment, thereby addressing the challenges of time-consuming evaluation and limited population coverage. Thus, this method is highly clinically valuable.

Elderly hip fracture patients with isolated calf muscle vein thrombosis are more likely to have suffered an intertrochanteric fracture and be hypertensive

PURPOSE

This study aimed to characterize the preoperative deep venous thrombosis (DVT) of lower extremity by locations and evaluate the diagnostic ability of plasma D-dimer level in elderly patients with hip fracture.

METHOD

This retrospective study reviewed the elderly patients presenting with a hip fracture definitely undergoing surgical treatment and identified those who had preoperative DVT. Data on demographics, lifestyle habits, comorbidities and laboratory indexes were extracted and collected. Four groups were divided by presence and locations of thrombi: non-DVT (controls), isolated calf muscle vein thrombosis (CMVT), deep calf vein thrombosis (DCVT) and proximal DVT group. The comparisons were conducted between either DVT group or the non-DVT group. Receiver operating characteristic (ROC) curve and the area under the curve (AUC) were used for determining the diagnostic ability of D-dimer for each group.

RESULTS

Among 951 eligible patients included, 298 (31.3%) were found have preoperative DVT. Compared to non-DVT group, patients with CMVT had significantly lower albumin and hemoglobin concentration, more likely an intertrochanteric fracture and a higher prevalence of hypertension (P = 0.001, 0.006, 0.002 and 0.024, respectively); DCVT group was not observed to be significantly different in terms of any variables (all P > 0.05); and proximal DVT group had older age and more patients ≥ 80 years, lower albumin and hemoglobin concentration, higher prevalence of hypertension, more likely an intertrochanteric fracture, extended time from injury to imaging examination and higher age-adjusted Charlson comorbidity index (ACCI) (all P < 0.05). D-dimer demonstrated nonsignificant diagnostic ability for CMVT and DCVT, and a significant but poor ability for proximal DVT (AUC, 0.621; 95% CI 0.542-0.710; P = 0.011).

CONCLUSION

Varying characteristics were found among preoperative DVT stratified by locations after elderly hip fractures, and D-dimer level demonstrated no or poor diagnostic ability for DVTs by locations. Level of evidence level III, diagnostic. Trial registration statement Not applicable.

Is it necessary to wear compression stockings and how long should they be worn for preventing post thrombotic syndrome? A meta-analysis of randomized controlled trials

BACKGROUND

Post thrombotic syndrome (PTS) is a serious complication of deep venous thrombosis (DVT). There were always debates on the efficacy of elastic compression stockings (ECS) in prevention for post thrombotic syndrome.

OBJECTIVE

To assess effects of elastic compression stockings and ECS's wearing time on post thrombotic syndrome after diagnosis of deep venous thrombosis.

METHODS

PubMed, Cochrane Library, Embase, Web of Science were last searched on 23 November 2022 for studies assessing effects of elastic compression stockings or theirs wearing time on post thrombotic syndrome after diagnosis of deep venous thrombosis.

RESULTS

9 randomized controlled trials were included. Wearing elastic compression stockings was associated with a statistically reduction in the overall post thrombotic syndrome rate (RR 0.73, 95 % CI 0.53 to 1.00; P = 0.05; I² = 82 %). No significant difference in severe post thrombotic syndrome rate, recurrent deep venous thrombosis rate, and death rate was seen whether wearing elastic compression stockings or not. The pooled effect of studies comparing different wearing time of elastic compression stockings showed no significant difference in post thrombotic syndrome rate, severe and moderate post thrombotic syndrome rate, recurrent deep venous thrombosis syndrome rate and death rate.

CONCLUSIONS

Wearing ECS can reduce the risk of developing PTS after DVT and a wearing time of less than or equal to 1 year is comparable to 2 years wearing. The results support ECS's role as a foundation therapy for preventing PTS.

Incidence and Clinical Features of Venous Thromboembolism in Inpatients with Mental Illness

AIMS

We investigated the incidence and clinical features of venous thromboembolism (VTE) in inpatients with mental illnesses.

METHODS

We retrospectively analyzed records of inpatients with mental illnesses and confirmed VTE at The First Hospital of Hebei Medical University between August 2018 and July 2022. We recorded demographic characteristics, psychosis-related conditions, and thrombus distribution.

RESULTS

Among 12939 patients diagnosed with mental illness, 156 (1.21%) presented with VTE at the first visit or during the disease course. Crude VTE incidence varied significantly across mental illnesses, being highest in patients with organic mental disorders (5.20%), followed by emotional disorders (1.10%), and others (P < 0.001). Distal and proximal deep venous thromboses (DVT) occurred in 79.17% and 20.84% of patients, respectively. The Hamilton Depression Scale (HAMD) score was higher in patients with proximal DVT than in those with distal DVT (P < 0.001). On multivariate analysis, the HAMD score (odds ratio [OR] 1.173, confidence interval [CI] 1.100-1.251, P＜0.001) was a risk factor and the Hamilton Anxiety Scale (HAMA) (OR 0.862, CI 0.796-0.934, P＜0.001), a protective factor against DVT progression.

CONCLUSION

VTE is not rare in patients with mental illnesses and is most commonly associated with organic mental disorders. Psychosis-related DVT typically shows a significantly high incidence of distal DVT. Prevention and early treatment in patients with severe depression and distal DVT can prevent DVT aggravation.