Low Mean Platelet Volume is Associated with Deep Vein Thrombosis in Older Patients with Hip Fracture

Wang, Zhicong; Chen, Xi; Wu, Jianhui; Zhou, Qing; Liu, Hailong; Wu, Yuxuan; Liu, Shuping; Liu, Yuehong

doi:10.1177/10760296221078837

Cited by 7 publications

(7 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Of note, the significant difference in pre-chemotherapy fibrinogen levels should be interpreted with caution due to the low number of patients, low event rate and the inclusion of female-only studies. Nonetheless, the findings of increased VTE risk in patients with elevated or decreased biomarker levels we report in this paper are aligned with other studies evaluating the same biomarkers levels at the time of VTE in cancer patients, [145][146][147][148] as predictors of first symptomatic provoked VTE, 149,150 and as risk factors in the general population. [151][152][153] This supports that certain biomarkers could play a role in the prediction of VTE.…”

Section: Introductionsupporting

confidence: 90%

Circulating Blood Biomarkers and Risk of Venous Thromboembolism in Cancer Patients: A Systematic Review and Meta-Analysis

Roy,

Wang,

Lun

et al. 2024

Thromb Haemost

View full text Add to dashboard Cite

Background: Cancer patients have an increased risk of venous thromboembolism (VTE). Currently, the availability of highly discriminatory prediction models for VTE in cancer patients is limited. The implementation of biomarkers in prediction models might lead to refined VTE risk prediction. In this systematic review and meta-analysis, we aimed to evaluate candidate biomarkers and their association with cancer-associated VTE. Methods: We searched Medline, EMBASE and Cochrane Central for studies that evaluated biomarkers in adult cancer patients from inception to September 2022. We included studies reporting on VTE after a cancer diagnosis with biomarker measurements performed at a defined timepoint. Median/Mean differences (for continuous measures) and Odds Ratios (for dichotomous measures) with 95% confidence intervals were estimated and pooled using random-effects models. Results: We included 114 studies in the systematic review. Of these, 50 studies were included in the meta-analysis. We identified two biomarkers at cancer diagnosis (factor VIII and time to peak thrombin), three biomarkers pre-chemotherapy (d-dimer, fibrinogen and mean platelet volume) and, one biomarker preoperatively (platelet count) that had significant median or mean differences. Additionally, we found that hemoglobin <100g/L and white blood count >11 x 109/L were significantly associated with future VTE risk only when measured at cancer diagnosis. Pre-chemotherapy neutrophil lymphocyte ratio >3 and preoperative platelet count ≥400 x 109/L were also found to be associated with future VTE risk. Conclusions: In conclusion, this study identified nine candidate blood biomarkers that may help in optimizing VTE prediction in cancer patients that should be further explored in future studies.

show abstract

Section: Introductionsupporting

confidence: 90%

Circulating Blood Biomarkers and Risk of Venous Thromboembolism in Cancer Patients: A Systematic Review and Meta-Analysis

Roy,

Wang,

Lun

et al. 2024

Thromb Haemost

View full text Add to dashboard Cite

show abstract

“…A research in China reported that the incidence was 15.1% and found that low MPV was associated with DVT in Older Patients with Hip Fracture. 9 Ferroni et al 19 demonstrated that low level of MPVs in cancer patients before chemotherapy was a predictor of increased risk venous thromboembolism risk while the similar result was confirmed in another researche in cancer patients from Australia. 20 In the emergency department, a retrospective study conducted in Italy supported an inverse association between MPV and the risk of DVT.…”

Section: Discussionmentioning

confidence: 74%

Associations Between Mean Platelet Volume and Risk of Deep Vein Thrombosis: A Mendelian Randomization Study and a Retrospective Study

Li¹,

Liang²

2023

IJGM

View full text Add to dashboard Cite

Objective In this study, it was intended to explore the causal association between mean platelet volume (MPV) and risk of deep vein thrombosis (DVT) using a two-sample Mendelian randomization (MR) analysis and a retrospective study. Methods This study applied two-sample MR analysis to estimate the causal association between MPV and risk of DVT. Twenty-one single nucleotide polymorphisms (SNPs) were selected as genetic variants from two independent consortiums cohorts (p-value <5×10 −8 , linkage disequilibrium r 2 <0.1). Inverse variance weighted (IVW), MR-egger method and weighted median were performed. A retrospective study was also conducted to verify the associations identified from the MR study. Results The MR analysis demonstrated that genetically predicted higher MPV was associated with significantly lower risk of DVT (OR 0.982, 95% CI = 0.967–0.998, P = 0.023), with the consistent result in weighted median and MR-Egger. There was no directional horizontal pleiotropy in the method of MR-Egger regression (intercept=2.9e-04, P = 0.194). There was no single SNP was found to strongly drive the combined causal effect in the leave-one-out sensitivity analysis. Additionally, the similar result was observed in the retrospective study. Conclusion This study suggested that MPV was negatively associated with the risk of DVT. More basic researches are needed in the future to explore its specific mechanism.

show abstract

“…The cut-off point according to the ROC curve for MPV was 13.3 fL, and multivariate logistic regression analysis showed that MPV level below 13.3 fL was significantly associated with an increased risk of DVT (OR = 4.857), and with every 1.0 fL decrease in MPV, the risk increased by 27.7%. 9 Although the subject of their study, like the present one, were older patients, it focused on those with hip fracture and it had a small sample size (352 cases), and only investigated the association between MPV and DVT. Ma J et al reported that the risk of preoperative DVT increased by 3.06 times in PDW<12% patients with foot fracture.…”

Section: Discussionmentioning

confidence: 99%

“…Braekkan et al found that increased MPV is associated with increased risk of VTE, 8 while Wang Z et al found that low MPV levels are associated with DVT in older patients with hip fracture. 9 Ma J et al reported that PDW (<12%) is a risk factor for preoperative DVT in patients with foot fracture. 10 Grotto HZ et al found that P-LCR may be used as an indicator of risk factor for thromboembolic ischemic events.…”

Section: Introductionmentioning

confidence: 99%

Association Between Platelet Indices and Preoperative Deep Vein Thrombosis in Elderly Patients Undergoing Total Joint Arthroplasty: A Retrospective Study

Xiong

et al. 2023

Clin Appl Thromb Hemost

View full text Add to dashboard Cite

To investigate the association between platelet (PLT) indices and preoperative deep vein thrombosis (DVT) in elderly patients undergoing total joint arthroplasty (TJA). A total of 1391 patients were enrolled. We created receiver operator characteristic (ROC) curve using the ratio of PLT indices to DVT before TJA, divided the enrolled patients into groups based on the cut-off value, and then analyzed risk factors for DVT before TJA in the multivariate binary logistic regression analysis. Preoperative DVT occurred in 103 cases. Based on the ROC curve, we determined that the cut-off values for PLT, mean platelet volume (MPV), platelet distribution width (PDW), platelet large cell ratio (P-LCR), and plateletcrit (PCT) were 202 × 109/L, 11.4 fL, 13.2 fL, 34.6%, and 0.228%. And the areas under the curve were 0.606, 0.605, 0.617, 0.616, and 0.598. Multivariate binary regression analysis revealed that the risk of preoperative DVT in TJA patients with PLT≥202 × 109/L, MPV≤11.4 fL, PDW≤13.2 fL, P-LCR≤34.6%, and PCT≥0.228% increased by 2.32 ( P < .001, 95% confidence interval [CI] [1.50-3.60]), 1.86 ( P < .001, 95% CI [1.22-2.83]), 2.17 ( P < .001, 95% CI [1.43-3.31]), 2.27 ( P < .001, 95% CI [1.50-3.45]), and 1.76 times ( P = .013, 95% CI [1.13-2.76]), respectively. Age, P < .001, odds ratio (OR) = 1.08, 95% CI [1.04-1.11]; corticosteroid use, P = .011, OR = 3.66, 95% CI [1.34-9.96]. We found that increased PLT count and PCT, decreased MPV, PDW, and P-LCR, old age, and corticosteroid use were independent risk factors for preoperative DVT in elderly TJA patients.

show abstract

Low Mean Platelet Volume is Associated with Deep Vein Thrombosis in Older Patients with Hip Fracture

Cited by 7 publications

References 39 publications

Circulating Blood Biomarkers and Risk of Venous Thromboembolism in Cancer Patients: A Systematic Review and Meta-Analysis

Circulating Blood Biomarkers and Risk of Venous Thromboembolism in Cancer Patients: A Systematic Review and Meta-Analysis

Associations Between Mean Platelet Volume and Risk of Deep Vein Thrombosis: A Mendelian Randomization Study and a Retrospective Study

Association Between Platelet Indices and Preoperative Deep Vein Thrombosis in Elderly Patients Undergoing Total Joint Arthroplasty: A Retrospective Study

Contact Info

Product

Resources

About