Predictors of deep-vein thrombosis for acute stroke at admission to a rehabilitation unit: A retrospective study

Li, Fang; Wei, Changkun; Huo, Su; Liu, Xiuzhen; Du, Jing

doi:10.3389/fneur.2023.1137485

Cited by 5 publications

(6 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As described above, our study revealed that aging, female sex, lower limb paralysis, and higher plasma D-dimer levels were associated with the development of DVT, which is consistent with previous research findings ( 5 – 8 ). In the specific cohort of stroke patients with occlusion in a large cerebral artery and receiving thrombectomy, we identified the operative time of EVT as another independent risk factor for DVT.…”

Section: Resultssupporting

confidence: 93%

“…On the basis of ultrasound findings, DVT was detected in 67 of 245 cases (27.3%), all of whom had undergone right femoral artery puncture during EVT. The prevalence was higher than the overall prevalence previously observed in patients with acute stroke (including ischemic and hemorrhagic stroke) (5)(6)(7)(8)(9)(10). Most patients were asymptomatic, and only three of them developed swelling of the lower extremities.…”

Section: Description Of Dvt Characteristics In Stroke Patientscontrasting

confidence: 54%

“…It was reported more than 40 years ago that up to 75% of stroke patients with hemiplegia without venous thromboembolism prophylaxis develop DVT in the lower limbs as evidenced by the uptake of 125 I-labeled fibrinogen (4). Recently, duplex ultrasonography has become the standard method for diagnosing DVT, and the detected prevalence of DVT in low extremities ranged from 11.5 to 22.1% in stroke patients (5)(6)(7)(8)(9)(10). DVT can lead to pulmonary embolism, which significantly damages the lungs and heart and is responsible for 13-25% of early deaths after stroke (11).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Risk factors for lower extremity deep vein thrombosis in acute stroke patients following endovascular thrombectomy: a retrospective cohort study

Han,

Yang,

Qian

et al. 2023

Front. Neurol.

View full text Add to dashboard Cite

BackgroundDeep vein thrombosis (DVT) in lower extremities as a common complication of acute ischemic stroke (AIS) has long been studied. However, as the therapeutic options for AIS continue to advance, the pathogenic mechanisms behind DVT may change. Endovascular thrombectomy (EVT) has replaced intravenous thrombolysis and become the preferred treatment for AIS patients with large vessel occlusions. Therefore, it is important to update our understanding of DVT and its management. This study aimed to determine the prevalence and risk factors of DVT in AIS patients following EVT.MethodsIn this retrospective study, 245 AIS patients who had received EVT were recruited between January 2020 and December 2021. Within 10 days (median 4 days) of thrombectomy, DVT was diagnosed by ultrasonography. Demographic characteristics, clinical findings, and therapeutic procedures were compared between patients with and without DVT using univariate analysis. Cutoff points were defined for EVT time and plasma D-dimer concentration. Multivariable logistic regression was then used to determine the independent risk factors for DVT and evaluate their predictive power.ResultsThe prevalence of DVT in AIS patients after EVT was 27.3%. Multifactorial logistic regression analysis showed that age (OR 1.036, 95% CI 1.001–1.073; P = 0.045), female sex (OR 3.015, 95% CI 1.446–6.289; P = 0.003), lower limb muscle strength less than grade three (OR 7.015, 95% CI 1.887–26.080; P = 0.004), longer EVT time (OR 1.012, 95% CI 1.004–1.020; P = 0.003), and higher D-dimer levels (OR 1.350, 95% CI 1.150–1.585; P < 0.001) were independently associated with higher DVT risk in AIS patients following EVT. The cutoff points for operative time of EVT and plasma D-dimer were 65.5 min and 1.62 mg/L, respectively, above which the risk for DVT was dramatically increased with OR > 4 in AIS patients.ConclusionAIS patients are at increased risk of developing DVT following EVT particularly if they have undergone prolonged thrombectomy procedures and exhibit high plasma levels of D-dimers. However, the results of our study need to be validated by a multicenter prospective study with a larger population of stroke patients.

show abstract

Section: Resultssupporting

confidence: 93%

Section: Description Of Dvt Characteristics In Stroke Patientscontrasting

confidence: 54%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Risk factors for lower extremity deep vein thrombosis in acute stroke patients following endovascular thrombectomy: a retrospective cohort study

Han,

Yang,

Qian

et al. 2023

Front. Neurol.

View full text Add to dashboard Cite

show abstract

“…This heightened risk may be attributable to alcohol’s indirect influence on the coagulation and fibrinolytic systems, disrupting the delicate balance necessary for normal blood clotting and dissolution(28). The nuanced effects of different treatments on VTE risk during the acute phase of AIS patients have been somewhat overlooked in previous research(29). Nonetheless, our analysis reveals that patients undergoing EVT may face a greater VTE risk compared to those receiving thrombolytic therapy or symptomatic care alone.…”

Section: Discussionmentioning

confidence: 99%

Leveraging Machine Learning for Enhanced and Interpretable Risk Prediction of Venous Thromboembolism in Acute Ischemic Stroke Care

Jiang,

Li,

et al. 2024

Preprint

View full text Add to dashboard Cite

Background: Stroke is the second leading cause of death globally, with acute ischemic strokes constituting the majority. Venous thromboembolism (VTE) poses a significant risk during the acute phase post-stroke, and early recognition is critical for preventive intervention of VTE. Methods: Utilizing data from the Shenzhen Neurological Disease System Platform to develop multiple machine learning models that included variables such as demographics, clinical data, and laboratory results. Advanced technologies such as K nearest neighbor and synthetic minority oversampling technique are used for data preprocessing, and algorithms such as gradient boosting machine and support vector machine are used for model development.Feature analysis of optimal models using SHapley Additive exPlanations interpretable algorithm. Results: In our study of 1,632 participants, in which women were more prevalent, the median age of patients with VTE was significantly older than that of non-VTE individuals. Data analysis showed that key predictors such as age, alcohol consumption, and specific medical conditions were significantly associated with VTE outcomes. The AUC of all prediction models is above 0.7, and the GBM model shows the highest prediction accuracy with an AUC of 0.923. These results validate the effectiveness of this model in identifying high-risk patients and demonstrate its potential for clinical application in post-stroke VTE risk management. Conclusion: This study presents an innovative, machine learning-based approach to predict VTE risk in acute ischemic stroke patients, offering a tool for personalized patient care. Future research could explore integration into clinical decision systems for broader application.

show abstract

“…While the incidence of stroke is decreasing in high-income countries, it is increasing significantly in low-and middle-income countries (to which Kyrgyzstan belongs) (6). In Russia, for example according data of Republic of Bashkortostan, since 2016 till 2018 the incidence of strokes has gradually decreased up to 348.2 cases per 100 thousand adults (7).…”

Section: Discussionmentioning

confidence: 99%

Hospital predictors of deep vein thrombosis after ischemic stroke: A systematic review

Torokulova,

Bijalieva,

Akulich

et al. 2024

HVT

View full text Add to dashboard Cite

In the acute stage of ischemic stroke, deep vein thrombosis (DVT) is more common than in the recovery stage. The stratification of the risk of developing DVT is crucial when making a decision in terms of correct diagnostic and treatment options in stroke patients. The aim of the study was to review systematically up-to-date published studies on predictors for DVT in patients with acute ischemic stroke. Methods: Study design -systematic review of observational studies. Russian scientific citation database of RSCI, English scientific citation database of PubMed, Web of Science, Embase for the period of time 2018-August 2023 were used for studies search. Data from selected studies were extracted, including study design, data source, outcome definition, sample size, and predictors. The most common demographic, clinical and/or laboratory markers for predicting strokerelated DVT were presented. Results: Totally 234 studies were reviewed, and after the selection process, nine studies were included in this article. The incidence of DVT in patients with acute ischemic stroke ranged from 0.53 % to 19.8 %. The most frequently pointed predictors were D-dimer level, age, sex, lower limb plegia, and high NIHHS scores. Conclusion: Identification of individuals with high risk of venous limb thrombosis after ischemic stroke is crucial for targeted thromboprophylaxis. Advanced knowledge of predictors and biomarkers is needed to guide clinical decisionmaking and develop risk prediction models.

show abstract

Predictors of deep-vein thrombosis for acute stroke at admission to a rehabilitation unit: A retrospective study

Cited by 5 publications

References 32 publications

Risk factors for lower extremity deep vein thrombosis in acute stroke patients following endovascular thrombectomy: a retrospective cohort study

Risk factors for lower extremity deep vein thrombosis in acute stroke patients following endovascular thrombectomy: a retrospective cohort study

Leveraging Machine Learning for Enhanced and Interpretable Risk Prediction of Venous Thromboembolism in Acute Ischemic Stroke Care

Hospital predictors of deep vein thrombosis after ischemic stroke: A systematic review

Contact Info

Product

Resources

About