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Catheter linked thrombosis in neonates – Full Text

UEDVT

“Many factors should be considered in prediction of patients at risk of thrombosis including sepsis, femoral line insertion, low platelet count and PRBCs-transfusions. In our analysis, PRBCs-transfusion through peripheral intravenous lines (PIVs) was the strongest factor associated with CVC-linked thrombosis” Farag et al (2024).

Central venous catheter-related thrombosis in the presence of paraplegia or tetraplegia

UEDVT

“These results suggest (a) that the presence of paraplegia or tetraplegia is not necessarily associated with an increased risk of CRT, (b) that the adoption of well-designed insertion bundles plays a key role in minimizing non-infectious complications, and (c) that the insertion of FICCs by direct cannulation of the superficial femoral vein at mid-thigh in paraplegic/tetraplegic patients may have the same advantages which have been described in the general population”

Prevention and management of catheter-related thrombosis in sickle cell disease – Full Text

UEDVT

“Indwelling CVADs (CVCs) require a surgical procedure for insertion, but have lower infection rates and present much simpler and quicker access on transfusion days and at other times. These are often therefore the preferred option for this patient cohort. However, catheter-associated VTE is a common and significant complication in these patients” Woodward et al (2024).

PICC-related thrombosis in patients with liver cancer – Full Text

UEDVT

“Age, KPS score, parenteral nutrition, TNM staging, distant metastasis, bone marrow suppression, and activities of daily living impairment are independent risk factors for PICC-related thrombosis in hospitalized patients with liver cancer, while catheter duration is a protective factor for the disease” Chen et al (2024).

Predicting PICC-related deep vein thrombosis

UEDVT

“This study aims to use patient feature and catheterization technology feature variables to train the corresponding machine learning (ML) models to predict peripherally inserted central catheters-deep vein thrombosis (PICCs-DVT) and analyze the importance of the two types of features to PICCs-DVT from the aspect of “input-output” correlation” Sheng and Gao (2024).

CVC-associated venous thromboembolism in children

UEDVT

“Our objective was to study the proportion of children developing Catheter-related thrombosis (CRT) following central venous Catheter (CVC) insertion and the risk factors of CRT in pediatric patients with CVC” Narayan et al (2024).

Incidence of PICC-associated thrombosis

UEDVT

“Incidence of PICC-associated thrombosis is low and apparently less prognostically aggressive than other forms of thrombosis associated with cancer, without identify predictive factors” Sánchez Cánovas et al (2024).

Central venous access device-related thrombosis in children – Full Text

UEDVT

“This is the latest systematic review of risk factors and incidence of CRT in children. A total of 47 studies involving 262,587 patients were included in our meta-analysis, according to which the pooled prevalence of CRT was 9.1%. This study identified several of the most critical risk factors affecting CRT in children, including D-dimer, insertion location, type of catheter, number of lumens, catheter indwelling time, and central line-associated bloodstream infection (CLABSI)” Fu et al (2024).

Risk assessment models for PICC-related venous thrombosis

UEDVT

“This review aims to compare the performance of available risk assessment models (RAMs) for predicting peripherally inserted central catheter-related venous thrombosis (PICC-RVT) in adult patients with cancer” Hu et al (2024).

Risk factors of PICC-related thrombosis – Full Text

UEDVT

“The incidence rate of peripherally inserted central catheter-related thrombosis in breast cancer patients was 7.0% (95% confidence interval: 4.0-13.0%). Body mass index ≥ 25, D-dimer >500 ng/ml, elevated fibrinogen, elevated platelet count and catheter malposition were risk factors for peripherally inserted central catheter-related thrombosis in breast cancer patients” Meng et al (2024).

Cancer-associated thrombosis risk assessment

UEDVT

“Machine learning (ML) is a novel technique used for the diagnosis and prognosis of several diseases, including cancer-associated thrombosis, when trained on specific diagnostic modalities. Consolidating the literature on the use of ML for the prediction of cancer-associated thrombosis is necessary to understand its diagnostic and prognostic abilities relative to KS” El-Sherbini et al (2024).

VTE prophylaxis in cancer patients with CVC – Full Text

UEDVT

“The introduction of direct oral anticoagulants (DOACs), with its proven efficacy and safety in multiple clinical indications, have renewed the attention to VTE prophylaxis in cancer patients with CVC” Abdel-Razeq and Al-Jaghbeer (2024).

Central venous catheter-related thrombosis guidelines – Full Text

UEDVT

“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” Zhang et al (2024).

PICC-related UEDVT prediction model

UEDVT

“The risk of PICC-related UEDVT can be estimated and predicted relatively accurately by using the method of ML modeling, so as to effectively reduce the incidence of PICC-related UEDVT in the future” Hu et al (2024).

Embolisms caused by central venous catheter thrombus – Full Text

UEDVT

“Here, we report a case of simultaneous coronary and lower limb artery embolism in a PFO patient carrier of a CVC. The patient presented to the hospital with acute chest pain and lower limb fatigue. Doppler ultrasound showed a large thrombus in the right internal jugular vein, precisely at the tip of the CVC” Li et al (2024).

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