BACKGROUND: Venous thromboembolism (VTE), including deep venous thrombosis and pulmonary embolism, is a common and potentially fatal post-surgery complication. Research has shown that 50% of VTE causes are intraoperative, with the risk of occurrence highest during and immediately post-surgery. Therefore, strategies for early assessment and prevention should be established.
OBJECTIVE: To identify optimal equipment selection, compression protocols, and strategies for complication prevention and management during intraoperative intermittent pneumatic compression (IPC), this study aims to synthesize the best available evidence. The objective is to inform accurate risk assessment and facilitate early mechanical prophylaxis against venous thrombosis.
METHODS: The Practical Application to Clinical Evidence model proposed by the Joanna Briggs Institute was utilized. Indicators were identified using the available best evidence from January 2023 to October 2023, and a baseline review was conducted. Negative factors were identified based on clinical evidence-based practice. The implementation rates of different indicators before (n = 372) and after (n = 405) evidence-based practice, the incidence rates of intraoperative IPC-related adverse events and VTE, and the risk of venous thrombosis before (n = 50) and after (n = 50) practice were identified and compared. Furthermore, medical staff\'s knowledge of best practices for intraoperative IPC was assessed through pre- and post-intervention surveys involving 109 operating room personnel.
RESULTS: All review indicators significantly improved (P < 0.01) after the evidence-based practice, and 9 reached 100%. Two intraoperative venous thrombosis events occurred before the evidence-based practice, with an incidence rate of 0.53%; no intraoperative venous thrombosis event occurred after the evidence-based practice, with no significant difference (X2 = 2.171, P = 0.141 > 0.05). However, there were significant differences in intraoperative venous blood hemodynamics before and after the practice (P < 0.05). Moreover, 9 IPC-related adverse events, including 4 cases of skin pressure, 3 cases of skin allergy, and 2 cases of lower limb circulation disorders, were reported before the evidence-based practice, with an incidence rate of 2.4%. Notably, no intraoperative IPC-associated adverse events occurred after the evidence-based practice(X2 = 9.913, P < 0.01). Meanwhile, the score of comprehension of the standard utilization of IPC for preventing venous thrombosis by medical staff in the operating room was 93.34 ± 3.64 after the evidence-based practice, which was higher than that (67.55 ± 5.45) before the evidence-based practice. Overall, the clinical practice was significantly improved the evidence-based practice.
CONCLUSIONS: Applying intraoperative IPC utilization standards based on the best evidence in clinical practice effectively reduces the intraoperative IPC-associated adverse event rate and the risks of intraoperative venous thrombosis. It also improves the execution rates and compliance with mechanical prevention standards in the operating room by medical staff. Future research should prioritize the development and refinement of best clinical practices for intraoperative venous thrombosis prevention, with a particular emphasis on the integration of mechanical prophylaxis strategies.

UNASSIGNED: The placement of inferior vena cava (IVC) filters often emerges as an alternative preventative measure against pulmonary embolism in patients with upper gastrointestinal (GI) bleeding and isolated distal deep vein thrombosis (DVT). We aimed to investigate the association of IVC filter placement and the incidence of venous thromboembolism (VTE) recurrence in this patient population.
UNASSIGNED: We performed a retrospective cohort study including 450 patients with upper GI bleeding and isolated distal DVT. Propensity score matching using logistic regression was conducted to mitigate potential selection bias. Logistic regression models and additional sensitivity analyses were conducted to estimate the association between IVC filter implantation and VTE recurrence. Interaction and stratified analyses were also performed according to the background covariates.
UNASSIGNED: Patients who underwent IVC filter placement were significantly younger than patients in the surveillance group (55.8 ± 9.0 vs 58.4 ± 11.2 years, p = 0.034). Patients in the IVC filter group demonstrated a higher distal thrombus burden. The VTE recurrence composite was significantly higher in patients who underwent IVC filter placement (44.1% [45/102] vs 25% [87/348], p < 0.001). Unmatched crude logistic regression analysis identified a significant association between IVC filter placement and VTE recurrence composite (OR = 2.37; 95% CI, 1.50-3.75). Sensitivity analyses yielded congruent outcomes.
UNASSIGNED: This study revealed an increased risk of VTE recurrence among patients receiving IVC filter placement, suggesting that IVC filter placement may not be suitable as a primary treatment for patients with upper GI bleeding and isolated distal DVT.

UNASSIGNED: Elevated risk of venous thromboembolism (VTE) in patients with coronavirus disease 2019 (COVID-19) pneumonia has been recognized, while the risk factors associated with VTE in patients with non-COVID-19 pneumonia remain to be defined. This study aimed to conduct a meta-analysis and systematic review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to identify potential risk factors for VTE in patients with pneumonia from the pre-COVID-19 era.
UNASSIGNED: PubMed, EMBASE, and Cochrane Library were searched. Two reviewers performed screening, full-text review, and extraction. Risk factors and odds ratio (OR) were estimated.
UNASSIGNED: Of 595 articles identified, six studies were included. Pooled analysis suggested that age ≥60 years [OR =2.75, 95% confidence interval (CI): 2.55-2.97, P<0.001], mechanical ventilation (MV) (OR =9.48, 95% CI: 8.24-10.91, P<0.001), hypertension (OR =1.41, 95% CI: 1.09-1.83, P=0.010), diabetes (OR =1.49, 95% CI: 1.36-1.64, P<0.001), heart failure (OR =3.15, 95% CI: 1.05-9.41, P=0.040) and cancer (OR =2.86, 95% CI: 2.07-3.95, P<0.001) were associated with higher risk for deep vein thrombosis in patients with pneumonia. While age ≥60 years (OR =2.46, 95% CI: 2.21-2.73, P<0.001), bacterial pneumonia (OR =3.80, 95% CI: 1.65-8.73, P=0.002), hyperlipidemia (OR =1.55, 95% CI: 1.00-2.41, P=0.049), heart failure (OR =2.70, 95% CI: 2.05-3.56, P<0.001), chronic obstructive pulmonary disease (OR =4.73, 95% CI: 3.11-7.17, P<0.001) and cancer (OR =2.90, 95% CI: 2.39-3.53, P<0.001) were risk factors for pulmonary embolism in patients with pneumonia.
UNASSIGNED: Patients with non-COVID-19 pneumonia, particularly those with advanced age, MV, cardiovascular comorbidities or cancer, warrant individualized management during hospitalization. Our findings could contribute to refining risk prediction models and further risk stratification for VTE in patients with pneumonia in clinical practice.

UNASSIGNED: Inferior vena cava filter (IVCF) thrombosis is an uncommon complication of IVCF utilization. The aims of this study were to investigate inferior vena cava (IVC) venography before filter retrieval to determine the incidence relative to filter dwell time and risk factors of IVCF thrombosis based on the clinical data and imaging findings in patients with lower extremity deep vein thrombosis (LEDVT).
UNASSIGNED: The clinical data from a multicenter randomized trial conducted between October 2017 and March 2019 were reviewed to determine the incidence of IVCF thrombosis in preretrieval venography and the associated risk factors. The correlation between filter dwell times (within 90 days) and incidence was assessed. Baseline demographics, LEDVT presentation, laboratory examination, thrombus characteristics, concurrent pulmonary embolism (PE), comorbidities and risk factors for LEDVT, and IVCF-relevant information were analyzed using the independent samples t-test, chi-squared test, Fisher exact test, and regression analysis to determine the univariable and multivariable associations in assessing the risk factors of IVCF thrombosis.
UNASSIGNED: A total of 178 eligible patients were included, of whom 58 were in the IVCF thrombosis group and 120 were in the IVCF nonthrombosis group, and the mean filter dwell time was 22.07±27.91 days (range, 4-190 days). The overall incidence of IVCF thrombosis in patients with LEDVT who received IVCFs was 32.58% (58/178). The incidence of IVCF thrombosis was 35.25% (49/139) in the first 30 days after the IVCF placement and decreased to 22.73% (5/22) between 30 to 60 days of dwell time and to 18.18% (2/11) between 60 and 90 days of dwell time, indicating a decreasing trend within the first 90 days. The risk factors for the occurrence of IVCF thrombosis were concurrent PE [odds ratio (OR) =2.59; 95% confidence interval (CI): 1.27-5.28; P=0.01], rheumatic diseases of the immune system (OR =14.42; 95% CI: 1.52-136.41; P=0.02), IVC:filter radial ratio >0.587 (OR =0.25; 95% CI: 0.10-0.65; P<0.01), and percutaneous angioplasty (PTA) (OR =2.50; 95% CI: 1.09-5.70; P=0.03).
UNASSIGNED: The incidence of IVCF thrombosis at the time of filter retrieval appears to decrease with dwell time within 90 days. Concurrent PE, rheumatic diseases of the immune system, and PTA were taken into account as risk factors. An IVC:filter radial ratio of 0.587 was a protective factor against developing IVCF thrombosis. These findings require further validation in a well-designed study since the present study lacked a close follow-up.

Venous thromboembolism (VTE) consists of deep vein thrombosis (DVT) and pulmonary embolism (PE). Rivaroxaban is a direct oral anticoagulant (DOAC) inhibiting activated coagulation factor X (FXa), and exerts several advantages in the treatment of VTE compared to conventional therapy. However, the efficacy and safety of rivaroxaban in elderly patients with VTE was still poorly understood.
The study was carried out using an observational and non-interventional approach. A total of 576 patients aged ≥ 60 years with newly diagnosed VTE were included in the study. All patients received rivaroxaban with recommended treatment duration of ≥ 3 months for secondary prevention. In addition, 535 elderly patients with various diseases except VTE were included in the study in a retrospective and randomized way.
The total bleeding rate was 12.2% (70/576). Major bleeding and non-major clinically relevant (NMCR) bleeding occurred in 4 (0.69%) patients and 5 (0.87%) patients, respectively. The rate of recurrent VTE was 5.4%. The mean level of D-dimers was increased by 467.2% in the elderly patients with VTE compared with the elderly patients without VTE. The elderly patients with VTE receiving rivaroxaban at a dose of 10 mg once daily (n = 134) had lower risk for bleeding (3.7% vs 14.7%; P = 0.001) and a similar rate of recurrent VTE (4.5% vs 5.7%; P = 0.596) as compared to the elderly patients with VTE receiving rivaroxaban at higher doses including 15 mg once daily and 20 mg once daily (n = 442). In addition, age, concomitant aspirin, hemoglobin, activated partial thromboplastin time (APTT), and rivaroxaban doses were independent predictive factors for bleeding events.
The study suggested that a dose of 10 mg once daily should be the priority in elderly patients with VTE receiving long-term rivaroxaban anticoagulation therapy in view of reduced bleeding risk.

UNASSIGNED: Venous thromboembolism (VTE) is a common clinical problem. While lead toxicity is known to affect the nervous, hematopoietic system, skeletal, and cardiovascular system, the relationship between blood lead levels and VTE remains unclear. This study explored whether there is a correlation between the levels of serum lead and VTE through a retrospective analysis based on data from the National Health and Nutrition Examination Survey (NHANES), so as to provide a reference for follow-up research and clinical practice.
UNASSIGNED: According to the inclusion and exclusion criteria, subjects were enrolled from the NHANES (1999 to 2018) database and divided into a VTE group and a non-VTE group. The factors related to VTE were analyzed by single factor and multiple factor logistic regression analysis.
UNASSIGNED: A total of 31,081 subjects were included, of which 59 had VTE (0.19%). The higher the levels of serum lead, the higher the incidence of VTE. The univariate analysis revealed that age, male sex, history of cigarette use, hypertension, diabetes, and serum lead levels were factors associated with VTE in the population from the NHANES database. Further multivariate analysis revealed that age, history of cigarette use, hypertension, diabetes, and serum lead levels were factors associated with VTE.
UNASSIGNED: The findings of this study suggest that higher serum levels of lead may be associated with VTE.

UNASSIGNED: Postoperative venous thromboembolism (VTE) is a well-documented cause of morbidity and mortality in lung cancer patients. However, risk identification remains limited. In this study, we sought to analyze the risk factors for VTE and verify the predictive value of the modified Caprini risk assessment model (RAM).
UNASSIGNED: This prospective single-center study included patients with resectable lung cancer who underwent resection between October 2019 and March 2021. The incidence of VTE was estimated. Logistic regression was used to analyze the risk factors for VTE. Receiver operating characteristic (ROC) curve analysis was performed to test the ability of the modified Caprini RAM to predict VTE.
UNASSIGNED: The VTE incidence was 10.5%. Several variables, including age, D-dimer, hemoglobin (Hb), bleeding, and patient confinement to bed were significantly associated with VTE after surgery. The difference between the VTE and non-VTE groups in the high-risk levels was statistically significant (P<0.001), while the low and moderate risk levels showed no significant difference. The combined use of the modified Caprini score and the Hb and D-dimer levels showed an area under the curve (AUC) was 0.822 [95% confidence interval (CI): 0.760-0.855. P<0.001].
UNASSIGNED: The risk-stratification approach of the modified Caprini RAM is not particularly valid after lung resection in our population. The use of the modified Caprini RAM combined with Hb and D-dimer levels shows a good diagnostic performance for VTE prediction in patients with lung cancer undergoing resection.

BACKGROUND: Postoperative lung cancer patients belong to the high-risk group for venous thromboembolism (VTE). The standardized preventive measures for perioperative VTE in lung cancer are not perfect, especially for the prevention and treatment of catheter-related thrombosis (CRT) caused by carried central venous catheters (CVCs) in lung cancer surgery.
METHODS: This study included 460 patients with lung cancer undergoing video-assisted thoracic surgery (VATS) in our center from July 2020 to June 2021. Patients were randomized into two groups, and intraoperatively-placed CVCs would be carried to discharge. During hospitalization, the control group was treated with low-molecular-weight heparin (LMWH), and the experimental group with LMWH + intermittent pneumatic compression (IPC). Vascular ultrasound was performed at three time points which included before surgery, before discharge, and one month after discharge. The incidence of VTE between the two groups was studied by the Log-binomial regression model.
RESULTS: CRT occurred in 71.7% of the experimental group and 79.7% of the control group. The multivariate regression showed that the risk of developing CRT in the experimental group was lower than in the control group (Adjusted RR = 0.889 [95%CI0.799-0.989], p = 0.031), with no heterogeneity in subgroups (P for Interaction > 0.05). Moreover, the fibrinogen of patients in the experimental group was lower than control group at follow-up (P = 0.019).
CONCLUSIONS: IPC reduced the incidence of CRT during hospitalization in lung cancer patients after surgery.
BACKGROUND: No. ChiCTR2000034511.

UNASSIGNED: Colorectal cancer (CRC) is a heterogeneous group of malignancies distinguished by distinct clinical features. The association of these features with venous thromboembolism (VTE) is yet to be clarified. Machine learning (ML) models are well suited to improve VTE prediction in CRC due to their ability to receive the characteristics of a large number of features and understand the dataset to obtain implicit correlations.
UNASSIGNED: Data were extracted from 4,914 patients with colorectal cancer between August 2019 and August 2022, and 1,191 patients who underwent surgery on the primary tumor site with curative intent were included. The variables analyzed included patient-level factors, cancer-level factors, and laboratory test results. Model training was conducted on 30% of the dataset using a ten-fold cross-validation method and model validation was performed using the total dataset. The primary outcome was VTE occurrence in postoperative 30 days. Six ML algorithms, including logistic regression (LR), random forest (RF), extreme gradient boosting (XGBoost), weighted support vector machine (SVM), a multilayer perception (MLP) network, and a long short-term memory (LSTM) network, were applied for model fitting. The model evaluation was based on six indicators, including receiver operating characteristic curve-area under the curve (ROC-AUC), sensitivity (SEN), specificity (SPE), positive predictive value (PPV), negative predictive value (NPV), and Brier score. Two previous VTE models (Caprini and Khorana) were used as the benchmarks.
UNASSIGNED: The incidence of postoperative VTE was 10.8%. The top ten significant predictors included lymph node metastasis, C-reactive protein, tumor grade, anemia, primary tumor location, sex, age, D-dimer level, thrombin time, and tumor stage. In our results, the XGBoost model showed the best performance, with a ROC-AUC of 0.990, a SEN of 96.9%, a SPE of 96.1% in training dataset and a ROC-AUC of 0.908, a SEN of 77.5%, a SPE of 93.7% in validation dataset. All ML models outperformed the previously developed models (Caprini and Khorana).
UNASSIGNED: This study developed postoperative VTE predictive models using six ML algorithms. The XGBoost VTE model might supply a complementary tool for clinical VTE prophylaxis decision-making and the proposed risk factors could shed some light on VTE risk stratification in CRC patients.

IMPROVE Bleeding Risk Score (BRS) is known to be validated and widely accepted in medical patients. However, its relevance in surgical patients has so far not been explored. External validation of the IMPROVE BRS on bleeding in surgical patients can hopefully improve clinical practice (for surgical patients).
Data from 6986 surgical patients were collected from the DissolVE-2 cohort. The Kaplan-Meier method was used to assess the incidences of major bleeding and any bleeding among surgical patients within 14 days of admission. A cut-off value of BRS ≥7 indicated a higher risk of bleeding. Risk factors associated with major and any bleeding were analysed by the Cox regression method. Model discrimination was evaluated by area under the receiver operator characteristic curves (AUC). Calibration curves and Hosmer-Lemeshow χ2 statistics were used to measure the difference between predicted and observed bleeding risks.
A total of 6399 surgical patients were included in the final validation cohort. The cumulative incidence rate of any bleeding was 3.9 % (95 % confidence interval [CI], 3.4-4.5), of which the incidence rate of major bleeding was 1.2 % (95 % CI, 0.9-1.6). Among patients with a BRS of ≥7, 16.3 % reported any bleeding, and 26.3 % reported major bleeding. The IMPROVE BRS had a better discriminative power (AUC = 0.69) and excellent goodness of fit (Hosmer-Lemeshow test, P = 0.208) for the prediction of major bleeding events as compared with any bleeding (AUC = 0.55; Hosmer-Lemeshow test, P = 0.004). The calibration plot suggested a more accurate prediction for major bleeding events. Moreover, the IMPROVE BRS had a higher AUC value of 0.83 and better goodness of fit (P = 0.2616) for major bleeding in patients undergoing abdominal surgery than other surgery types.
The IMPROVE BRS is a simple and practical technique that can help in predicting the risk of major bleeding in surgical patients, improving functional and safety outcomes of hospitalized patients with surgery.