Changes in lipid metabolism and extension of venous thromboembolism

Incidence and risk factors predicting deep venous thrombosis of lower extremity following spinal fractures

The aim of this study was to investigate the presence of preoperative DVT following spinal fracture and the association between the presence of DVT and risk factors. Ultrasonography and blood analyses were performed preoperatively in patients diagnosed with spinal fracture between October 2014 and December 2018. Univariate analyses were performed on the data of demographics, comorbidities, location of injury, spinal cord injury (SCI) grading and laboratory biomarkers. The receiver operating characteristic (ROC) curve analysis was employed to obtain the optimal D-dimer cut-off value for diagnosis. In total, 2432 patients with spinal fractures were included, among whom 108 (4.4%) patients had preoperative DVTs. The average interval between fracture and initial diagnosis of DVT was 4.7 days (median, 2 days), ranging from 0 to 20 days; 78 (72.2%) were diagnosed within 7 days after injury and 67 (62.0%) within 3 days; 19 (17.5%) patients had proximal vein involved and 89 (82.4%) presented in distal veins. Multivariate logistic regression suggested six risk factors independently correlated to DVT, including delay to DUS (in each day) (odds ratio [OR] = 1.11), ASA class III-IV (OR = 2.36), ASIA grade (A/B) (OR = 2.36), ALB < 3.5 g/dL (OR = 2.08), HDL-C < 1.1 mmol/L (OR = 1.68) and D-Dimer > 1.08 µg/ml (OR = 2.49).

Principal Component Analysis on Recurrent Venous Thromboembolism

The rates of recurrent venous thromboembolism (RVTE) vary widely, and its causes still need to be elucidated. Statistical multivariate methods can be used to determine disease predictors and improve current methods for risk calculation. The objective of this study was to apply principal component analysis to a set of data containing clinical records of patients with previous venous thromboembolism and extract the main factors that predict recurrent thrombosis. Records of 39 factors including blood and lipid parameters, hereditary thrombophilia, antiphospholipid syndrome, clinical data regarding previous thrombosis and treatment, and Doppler ultrasound results were collected from 235 patients. The results showed that 13 principal components were associated with RVTE and that 18 of 39 factors are the important for the analysis. These factors include red blood cell, white blood cell, hematocrit, red cell distribution width, glucose, lipids, natural anticoagulant, creatinine, age, as well as first deep vein thrombosis data (distal/proximal, d-dimer, and time of anticoagulation). The results demonstrated that simple clinical parameters easy to be collected can be used to predict rates of recurrence and to develop new clinical decision support systems to predict the rates of RVTE.

A Study of Risk Factors of Chronic Venous Insufficiency and its Association with Features Suggestive of Preceding or Present Deep Venous Thrombosis

Background:

Deep venous thrombosis (DVT), even though resolved, may damage the valves and may lead to chronic venous insufficiency (CVI). We designed the present study to examine the thrombotic markers or other ultrasound features in the absence of active thrombosis in patients presenting with features suggestive of CVI.

Materials and Methods:

It was a cross-sectional study of 50 DVT patients. We collected a detailed history of presenting symptoms (onset, progression, and duration) and associated history of aggravating factors. After classifying the patients, color Doppler investigation for DVT and venous incompetence and blood investigations such as Factor V, D-Dimer, total cholesterol, total triglycerides, homocysteine, high-density lipoproteins, low-density lipoproteins (LDL), and very LDL were done.

Results:

We found a raised Factor V significantly more in patients classified as severe under clinical classification compared with nonsevere (19% and 0%; P = 0.05) and in patients with a high Venous Severity Clinical Score (VSCS) compared to those with a low VSCS score (17% and 0%; P = 0.03). We also found that perforators were significantly more in patients with a high VSCS score (88% and 58%; P = 0.02), in patients with a primary venous etiology compared with those without any venous etiology (97% and 1%; P < 0.0001), in patients with obstruction/reflux compared to those without any pathology (95% and 0%; P < 0.0001), and in patients with severe clinical classification compared with nonsevere patient (95% and 55%; P = 0.002).

Conclusions:

Clinical or subclinical DVT, an important cause of CVI, may not always be seen on ultrasound, especially after resolution. However, they may have the presence of blood parameters (Factor V and hyperhomocysteinemia) suggestive of DVT; these can be used as proxy markers for the current or previous DVT.

Predictive value of lymphocyte to monocyte ratio and monocyte to high-density lipoprotein ratio for acute deep vein thrombosis after total joint arthroplasty: a retrospective study

Background

Deep vein thrombosis (DVT) is one of the most dangerous complications of total joint arthroplasty (TJA). Systemic inflammation has proved to have a great contribution to thrombosis and has been considered as a risk factor for DVT recently. The lymphocyte to monocyte ratio (LMR) and monocyte to high-density lipoprotein (HDL) ratio (MHR) are two biomarkers used widely for systemic inflammation. This study aims to find out the potential predictive value of LMR and MHR for DVT after TJA.

Methods

A total of 853 patients who underwent primary TJA were finally included in this retrospective study. Acute DVT after TJA was evaluated by venography. Preoperative and postoperative LMR and MHR were calculated according to the blood routine test and blood biochemistry test. The association between LMR or MHR and DVT and their predictive value were evaluated by multiple logistic regression analysis and ROC curve respectively.

Results

Totally, 126 patients (14.8%) were diagnosed with DVT by venography. Patients with DVT had a significantly higher level of preoperative MHR (P < 0.001) and postoperative MHR (P < 0.001), along with a significantly lower level of preoperative LMR (P < 0.001) and postoperative LMR (P < 0.001). Multiple logistic regression indicated that BMI (OR = 1.10, P = 0.001), preoperative LMR (OR = 0.72, P<0.001), and postoperative LMR (OR = 0.32, P < 0.001) were independent risk factors for DVT. Besides, BMI (OR = 1.17, P = 0.001), female (OR = 4.6, P = 0.004), preoperative MHR (OR = 10.43, P = 0.008), postoperative Hb (OR = 0.96, P = 0.002), and postoperative LMR were independently associated with symptomatic DVT. The ROC curve suggested that the postoperative LMR had a potential to predict DVT after TJA.

Conclusion

In summary, the present study found out a significant association of perioperative LMR or MHR with DVT after TJA. Moreover, the postoperative LMR had a potential to predict DVT accurately.