The risk of venous thromboembolism and physical activity level, especially high level: a systematic review

Accelerometer-measured intensity-specific physical activity, genetic predisposition, and the risk of venous thromboembolism: a cohort study

OBJECTIVES

The association between physical activity and venous thromboembolism (VTE) remains unclear. Therefore, we investigated the prospective dose-response associations between accelerometer-measured intensity-specific physical activity and new-onset VTE, accounting for genetic risk.

METHODS AND RESULTS

In total, 85 116 participants from the UK Biobank were included. Incident VTE was identified via linked hospital records and death registries. A weighted polygenic risk score (PRS) was used to quantify genetic risk for VTE, with higher values indicating a high genetic risk. Cox proportional hazard models were used to calculate the hazard ratios (HRs) and 95% confidence intervals (95% CIs) of the associations. Overall, 1182 incident VTE cases were documented during a median follow-up of 6.18 years. In the overall study population, the participants in the highest level of the total volume of physical activity [0.60 (0.45, 0.79)], moderate-to-vigorous-intensity physical activity [0.66 (0.51, 0.86)], and light-intensity physical activity [0.66 (0.51, 0.85)] had lower adjusted HRs (95% CIs) for VTE than those of participants in the lowest level. Both the total volumes of physical activity and light-intensity physical activity were negatively associated with VTE risk in participants with low, intermediate, and high PRS. However, moderate-to-vigorous-intensity physical activity was only protective against VTE in participants with low and intermediate PRS, with a significant interaction (P for interaction = 0.02).

CONCLUSION

Higher levels of physical activity of any intensity were associated with a lower risk of new-onset VTE. However, the negative association between moderate-to-vigorous-intensity physical activity and new-onset VTE was significant only in participants with low and intermediate genetic predispositions to VTE.

Risk of venous thromboembolism in relation to high physical activity level in men over 27 year follow up

Venous thromboembolism (VTE) is the third most common type of cardiovascular disease. An association between high level of physical activity (PA) and the onset of VTE has been found in some, but not all previous studies. We aim to study the association between PA-level and VTE in a cohort of men with updated data on PA levels at four occasions. We used data from the Uppsala Longitudinal Study of Adult Men (ULSAM) study initiated in 1970, a study of men at age 50 years (n = 2,294 at baseline) examined on leisure time PA by questionnaire and traditional cardiovascular risk factors. Examinations were repeated at ages 60, 70, and 77, and follow-up was completed after a median time of 33 years. Cox regression analysis with hazard ratios (HRs) using updated covariates for PA and risk factors was performed on the association of PA levels with incident VTE, with adjustments for established cardiovascular risk factors (systolic blood pressure, LDL- and HDL-cholesterol, BMI, diabetes, and smoking). Totally 186 men experienced a VTE during follow-up of 68,263 person-years at risk. Individuals with the highest PA level had an increased relative risk of VTE, adjusted HR, 2.22 (95% CI 1.05-4.67), when compared to individuals with the lowest level of PA. In this cohort of men with a follow-up of 27 years, the risk of VTE was increased at the highest PA level. Findings indicate that there could be an increased VTE risk with higher PA level including strenuous activities.

Role of physical activity and sedentary behavior in venous thromboembolism: a systematic review and dose-response meta-analysis

Increasing studies have investigated the link between physical activity (PA) and sedentary behavior with venous thromboembolism (VTE) but the existing findings are not consistent and the independent relationship is uncertain. This meta-analysis aimed to comprehensively assess the shape of dose-response relationship between PA and sedentary behavior with VTE and further explore whether the relationship is independent after mutual adjustment. We systematically searched PubMed, Embase and Web of Science from inception to August 1, 2024. PA exposures were converted into MET-h/wk. Categorical meta-analyses and a cubic spline model were performed to evaluate the association between PA, sedentary behavior and VTE. Twenty-five articles including 31 studies were included. A curvilinear dose-response relationship between PA and VTE was observed, with steeper gradients even at lower PA levels. After adjustment for sedentary behavior, higher level of PA was independently associated with a reduced VTE risk (OR = 0.83, 95%CI:0.77-0.89). Based on population attributable fraction analyses, 2.37% (95%CI: 1.90-2.85%) of incident VTE could have been prevented if all adults had achieved half the PA minimum recommended level. A linear dose-response relationship between sedentary behavior and VTE risk was found, and there was a 2% higher risk of VTE (OR = 1.02, 95%CI: 1.00-1.03) for 1 h increment of sedentary behavior per day. After adjustment for PA, sedentary behavior was independently associated with an increased VTE risk (OR = 1.19, 95CI%:1.01-1.39). Our analyses demonstrated PA and sedentary time were indeed independently associated with the risk of VTE after mutually adjusting for sedentary time or PA, highlighting a unique perspective on their individual contributions. Further studies assessing the effects of different combinations of PA and sedentary time for assessing joint effects on VTE are needed.

Venous thromboembolism among physically active young adult females

Background

Young adult females are at risk of venous thromboembolism (VTE) due to various acquired and transient factors. In recent years, a growing number of females have engaged in strenuous physical activity, but its role as a risk factor for VTE is uncertain.

Objectives

To determine the incidence of VTE in young adult females engaged in strenuous physical activity.

Methods

A large national cohort of female individuals enlisted in the Israeli Defense Forces between 2012 and 2019 was analyzed. The study group consisted of participants undergoing strenuous physical training during their military service, while the control group maintained regular activity levels. We compared the incidence of VTE between the groups and adjusted for potential risk factors using a multivariate Cox analysis.

Results

The cohort included 160,718 female individuals aged 18 to 21years, of whom 11,745 engaged in strenuous physical activity and 148,973 served as controls. During a mean follow-up of 1.7 years, VTE occurred in 5 individuals (0.04%) in the strenuous activity group and 47 individuals (0.03%) in the control group. The incidence per 10,000 person-years was 2.41 (95% CI, 0.78-5.62) for the strenuous activity group and 1.82 (95% CI, 1.34-2.42) for the controls. Strenuous activity did not increase the risk for VTE in univariate or multivariate regression, with a hazard ratio (HR) of 1.27 (95% CI, 0.49-4.22). Use of oral contraceptives was the only significant risk factor, demonstrating dose effect; HR 1.95 (95% CI, 1.06-3.57) for low dose and HR 3.62 (95% CI, 1.40-9.37) for medium estrogen dose contraceptives.

Conclusion

Strenuous physical activity did not increase the risk for VTE among a large cohort of young adult female individuals.

Effectiveness and safety of non-vitamin K antagonist oral anticoagulant in the treatment of patients with morbid obesity or high body weight with venous thromboembolism: A meta-analysis

BACKGROUND

Venous thromboembolism (VTE) poses a significant health risk to patients with morbid obesity or high body weight. Non-vitamin K antagonist oral anticoagulants (NOACs) are emerging treatments, but their effectiveness and safety compared with vitamin K antagonists (VKAs) in this population are yet to be thoroughly studied.

METHODS

We conducted a systematic review and meta-analysis, adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Four electronic databases were searched for relevant studies comparing the efficacy and safety of NOACs and VKAs in treating patients with VTE with a body mass index > 40 kg/m2 or body weight > 120 kg. Eligible studies were scored for quality using the Newcastle-Ottawa Scale.

RESULTS

Thirteen studies were included. The meta-analysis results showed that compared to VKAs, NOACs significantly decreased the risk of VTE occurrence (odds ratio = 0.72, 95% CI: 0.57-0.91, I2 = 0%, P < .001) and were associated with a lower risk of bleeding (odds ratio = 0.74, 95% CI: 0.58-0.95, I2 = 0%, P < .05). Subgroup analysis showed that in the cancer patient subgroup, both risks of VTE occurrence and bleeding were lower in the NOAC group than in the VKA group. In patients without cancer, the risk of VTE was significantly lower in the NOAC group.

CONCLUSION

NOACs appear to be more effective and safer than VKAs in patients with morbid obesity or a high body weight with VTE. However, further large-scale randomized controlled trials are required to confirm these findings.

Comparison between Deep Learning and Conventional Machine Learning in Classifying Iliofemoral Deep Venous Thrombosis upon CT Venography

In this study, we aimed to investigate quantitative differences in performance in terms of comparing the automated classification of deep vein thrombosis (DVT) using two categories of artificial intelligence algorithms: deep learning based on convolutional neural networks (CNNs) and conventional machine learning. We retrospectively enrolled 659 participants (DVT patients, 282; normal controls, 377) who were evaluated using contrast-enhanced lower extremity computed tomography (CT) venography. Conventional machine learning consists of logistic regression (LR), support vector machines (SVM), random forests (RF), and extreme gradient boosts (XGB). Deep learning based on CNN included the VGG16, VGG19, Resnet50, and Resnet152 models. According to the mean generated AUC values, we found that the CNN-based VGG16 model showed a 0.007 higher performance (0.982 ± 0.014) as compared with the XGB model (0.975 ± 0.010), which showed the highest performance among the conventional machine learning models. In the conventional machine learning-based classifications, we found that the radiomic features presenting a statistically significant effect were median values and skewness. We found that the VGG16 model within the deep learning algorithm distinguished deep vein thrombosis on CT images most accurately, with slightly higher AUC values as compared with the other AI algorithms used in this study. Our results guide research directions and medical practice.