CAN COMPLETE BLOOD CELL COUNT PARAMETERS PREDICT DEEP VEIN THROMBOSIS?

HYPERTENSION AND DIABETES MELLITUS ARE ASSOCIATED WITH DEEP VENOUS THROMBOEMBOLISM: A CASE CONTROL STUDY

Introduction

Identifying risk factors for venous thromboembolism (VTE) is useful in deciding thromboprophylaxis for VTE. A retrospective study had shown an association between hypertension and diabetes mellitus with VTE in our population. The objective of this study was to confirm these findings and to determine if the complete blood count and coagulation tests can also be useful parameters in stratifying VTE patients for prophylaxis.

Methods

This is a gender and age matched prospective case-control study of 45 Doppler's confirmed DVT and 43 apparently healthy controls.

Results

Identified risk factors included history of hypertension, diabetes mellitus, previous DVT, recent surgery, recent trauma, malignancy, sepsis, and immobility. The cases had a significantly lower mean haematocrit (33±7.4% vs 38±4.6%, p<0.001). Though no differences were observed in leucocyte and platelet counts between cases and controls but stratification as leucocytosis vs leucopaenia (P=0.003) and thrombocytosis vs thrombocytopaenia (P=0.045) differed between both groups. Also, the International normalized ratio (INR) was higher in cases (1.1±0.2 vs 1.0±0.1;P=0.001), hypercoagulable state (INR<0.9) and hypocoagulable state (INR>1.2) were observed in 4.4% and 28.9% of cases respectively but not in controls (P <0.001). Also, aPTT>40 seconds was seen in 4.4% vs 4.7% of cases and controls respectively and aPTT< 30 seconds in 22% of cases but not in controls (P =0.004).

Conclusion

Hypertension and diabetes mellitus are identified risk factors not traditionally associated with DVT. These in addition to a complete blood count and coagulation tests can be useful in stratifying patients for prophylaxis in our population and other similar communities.

Hematological Parameters as an Early Marker of Deep Vein Thrombosis in Diabetes Mellitus: An Observational Study

Background Although the association between the presence of diabetes mellitus and the development of deep vein thrombosis (DVT) is well known, the role of novel biomarkers in predicting the development of DVT in diabetic patients is not yet known to a large extent. Studies have shown that complete blood count (CBC) and CBC-derived parameters such as neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) can be used as surrogate markers to detect DVT. This study was conducted to assess the utility of NLR and PLR as a marker of DVT in diabetic patients. Methodology This case-control study was conducted among a calculated sample size of 109 DVT patients in one arm and 109 non-DVT patients in another arm. Hematological tests including total leucocyte count, differential leucocyte count, total neutrophil count, total lymphocyte count, total platelet count, NLR, and PLR were performed. Results We found a significant difference in NLR and PLR between the DVT and the non-DVT groups. In addition, we found that NLR and PLR were significantly higher in the diabetic group, indicating the presence of inflammation in association with diabetes mellitus. Analysis of the receiver operating characteristic curve showed that at a cut-off value of 2.83, NLR can detect DVT in diabetic patients with 67% sensitivity and 92% specificity. Similarly, PLR at a cut-off value of 131.46 can detect DVT in diabetic patients with 56% sensitivity and 90% specificity. Conclusions We conclude that NLR and PLR are novel inflammatory markers that can help in the early detection of DVT in diabetic patients.

The Association of Neutrophil-Lymphocyte Ratio with Venous Thromboembolism: A Systematic Review and Meta-Analysis

The neutrophil–lymphocyte ratio(NLR) has been used for diagnosing venous thromboembolism (VTE). We aimed to assess the accuracy of NLR to diagnose VTE by meta-analysis. Systematic electronic searches were conducted June 2, 2021 in PubMed, Embase(Ovid), and Cochrane Library. The search did not have any language or time restriction applied. Our search strategy was based on keywords in combination with both medical subject headings (MeSH) terms and text words. The diagnostic odds ratio, summary receiver operating characteristics, sensitivity, specificity, positive likelihood ratio, and negative likelihood ratio were estimated. 10 articles with 1513 VTE participants and 2593 control participants were included for quantitative synthesis. The pooled values were as follows: sensitivity = 0.68(95% CI 0.45-0.84), specificity = 0.73(95% CI 0.6-0.83), positive likelihood ratio = 2.5(95% CI 1.8-3.4), negative likelihood ratio = 0.44(95% CI 0.26-0.75), diagnostic odds ratio = 6(95% CI 3-11), and SROC = 0.76(95% CI: 0.73-0.8). NLR could be diagnostic factor for the detection of potential VTE, the accuracy thereof in the current meta-analysis exhibited moderate accuracy for diagnosing VTE. Furthermore, further large cohort studies are needed to determine optimal cut-off values of NLR.

Development of Risk Prediction Model for Muscular Calf Vein Thrombosis with Acute Exacerbation of Chronic Obstructive Pulmonary Disease

Purpose

This study aims to establish a risk prediction model for muscular calf vein thrombosis (MCVT) in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD).

Methods

The research sample consisted of 248 patients with AECOPD and all of them underwent vascular ultrasounds of both lower limbs in this retrospective study. Univariate analysis and multivariate logistic regression analysis were conducted on factors with significant group differences to screen for the independent risk factors of MCVT. A nomogram to predict the risk of MCVT was constructed and validated with bootstrap resampling.

Results

According to the exclusion criteria, 240 patients were included for analysis, divided into the MCVT group (n = 81) and the non-MCVT group (n = 159). Multivariate logistic regression analyses showed that hypertension, elevated MPV, reduced albumin (ALB), elevated D-dimer and bed rest ≥3 days were independent risk factors for MCVT in AECOPD. A nomogram model for predicting AECOPD with MCVT was established based on them. The area under the curve (AUC) of receiver operating characteristic (ROC) curve for the prediction model and the simplified Wells score was 0.784 (95% CI: 0.722–0.847) and 0.659 (95% CI: 0.583–0.735), respectively. The cut-off value and Youden index of prediction model were 0.248 and 0.454, respectively. At the same time, the sensitivity, specificity, positive predictive value, and negative predictive value of the prediction model were 85.9%, 59.5%, 84.6%, and 77.4%, respectively. The sensitivity and specificity of the simplified Wells score were 67.9% and 56.3%, respectively. Validation by the use of bootstrap resampling revealed optimal discrimination and calibration, and the decision analysis curve (DAC) suggested that this prediction model involved high clinical practicability.

Conclusion

We developed a nomogram that can predict the risk of MCVT for AECOPD patients. This model has the potential to assist clinicians in making treatment recommendations and formulating corresponding prevention measures.