Identifying high-risk groups for deep vein thrombosis after primary total knee arthroplasty using preoperative Caprini scores and D-dimer levels.

BACKGROUND: Caprini score and D-dimer are well-recognized markers in deep vein thrombosis (DVT) assessment. However, their utility in guiding post-arthroplasty DVT risk is hampered by susceptibility to various post-operative factors, limiting their effectiveness as reminders. Conversely, these markers exhibit greater stability in the pre-operative setting. Despite this, research on the pre-operative predictive value of Caprini score and D-dimer for DVT following primary total knee arthroplasty (TKA) remains scarce. METHODS: In a retrospective study, we analyzed data from patients who underwent primary TKA, between August 2015 and December 2022. Upon admission, Caprini scores were assessed, and comprehensive blood panels were obtained from fasting blood samples. For all patients, lower limb vascular Doppler ultrasonography was performed pre-operatively to exclude those with pre-existing DVT, and all patients underwent DVT examination again post-operatively. RESULTS: Our study included 2,873 patients, averaging 67.98 ± 7.54years, including 676 men and 2,197 women. In this study, 303 (10.55%) patients developed postoperative DVT, and 57 (1.98%) cases presented with lower limb symptoms. DVT incidence in patients with pre-operative Caprini scores of 1-2 (6.50%), 3 (10.28%), and ≥ 4 (18.05%) showed significant differences (P < 0.05). DVT rates were 14.80% in patients with pre-operative D-dimer levels of ≥ 1 mg/L, higher than the 8.98% in those with levels of < 0.5 mg/L, and 10.61% in those with levels 0.5-1 mg/L (P < 0.05). In patients with Caprini scores of 1-2 and D-dimer levels ≤ 0.5 mg/L, the occurrence rate of postoperative DVT was only 5.84%. For patients with Caprini scores ≥ 4 and D-dimer levels ≥ 1.0 mg/L, the postoperative DVT occurrence rate soared to 24.81%, with the OR(odds ratio) was 4.744 compared to the former group. CONCLUSION: Patients with preoperative higher Caprini scores and D-dimer are more likely to develop DVT after TKA. Additionally, those with a preoperative Caprini score ≥ 4 and D-dimer level ≥ 1.0 mg/L have a significantly increased risk (24.81%) of developing DVT, identifying them as a high-risk group for DVT following TKA. These findings hold significant value for DVT risk stratification in primary TKA patients and the formulation of preoperative interventions to mitigate the risk of DVT.

Potential causal relationships between blood metabolites, inflammatory cytokines, and venous thromboembolism.

Background: Venous thromboembolism (VTE) is the abnormal coagulation of blood in deep veins, which impairs venous return and includes deep vein thrombosis (DVT) and pulmonary embolism (PE). The incidence of VTE is increasing, leading to severe complications and sequelae. Despite the widespread application of multi-omics analyses in vascular disease research, identifying the specific links between various metabolic products, cytokines, and VTE, as well as their potential mediating roles, requires further validation due to confounding factors. Methods: Summary statistics for 1,091 metabolites, 309 metabolite ratios (8,299 individuals), and 41 inflammatory cytokines (8,293 individuals) were obtained from the largest genome-wide association studies (GWAS). Summary statistics for VTE (21,021 cases, 391,160 controls), DVT (6,501 cases, 357,111 controls), and PE (10,046 cases, 401,128 controls) were derived from the FinnGen R10 dataset. We initially examined causal relationships using two-sample MR analysis, followed by Two-step Mendelian Randomization (TSMR) and Multivariable Mendelian Randomization (MVMR) to identify potential mediating mechanisms. Results: We identified causal associations for 78 blood metabolites with VTE, 79 with DVT, and 81 with PE. Among all 41 inflammatory cytokines included, only platelet-derived growth factor BB (PDGF-BB) levels showed a causal relationship with increased risks of VTE, DVT, and PE. MVMR analysis revealed that the associations between glycocholate levels and VTE, DVT, and PE were mediated by PDGF-BB, accounting for 14.54% (p=2.84E-04), 17.10% (p=3.64E-05), and 10.44% (p=1.39E-02), respectively. Furthermore, the associations between dodecanedioate (C12:1-DC) levels and VTE and DVT were also mediated by PDGF-BB, accounting for 12.79% (p=6.10E-04) and 12.17% (p=2.13E-04), respectively. Conclusion: This study reveals significant associations between specific blood metabolites and the risks of VTE, DVT, and PE, with some associations potentially mediated by PDGF-BB.

Clinical significance and underlying mechanism of long non-coding RNA SNHG12 in lower extremity deep venous thrombosis.

D-dimer is widely used in the diagnosis of deep vein thrombosis (DVT), but the specificity is low. The study examined the diagnostic value of long non-coding RNA (lncRNA) SNHG12 in DVT, and preliminarily discussed its mechanism. SNHG12 levels were detected in 200 elderly fracture patients via RT-qPCR, including 38 DVTs. Logistic regression analysis and receiver operating characteristic (ROC) curve were applied for diagnostic value evaluation. HUVECs were used for function study. Cell proliferation, migration, apoptosis, release of inflammatory cytokines, and adhesion factors were detected. Student's t test and one-way ANOVA were applied for data comparison between two or among three or more groups. Correlation analysis of indicators was completed via Pearson's correlation analysis. Bioinformatics analysis predicted the target miRNAs and genes of SNHG12, with GO and KEGG for the function enrichment. It was found that SNHG12 was at low expression in DVT patients, and negatively correlated with D-dimer concentration (r = -0.535). SNHG12 and D-dimer were independent influence factors related to the development of DVT. SNHG12 and D-dimer combination had the best performance in DVT diagnosis. In HUVECs, SNHG12 promoted cell proliferation and migration and restricted the release of inflammatory cytokines and adhesion factors, but these influences were counteracted by miR-424-5p. A total of 208 overlapping target genes of miR-424-5p were identified, and their function was enriched in cellular cycle and senescence. PI3K-Akt signaling pathway was the most significant pathway based on KEGG results. In conclusion, SNHG12 had good diagnostic potential for DVT combined with D-dimer. SNHG12 maintains vascular endothelial cell function by acting as a competitive endogenous RNA (ceRNA) for miR-424-5p.

Anti-Xa Activity Monitoring for Optimizing Rivaroxaban Dosage in Chinese Patients with Cerebral Venous Thrombosis.

BACKGROUND: Rivaroxaban, a direct Factor Xa inhibitor, is commonly used for cerebral venous thrombosis (CVT) correction. However, pharmacokinetic differences in Chinese may vary in sensitivity and tolerance, resulting in either insufficient or excessive anticoagulation. Herein, the optimizing dosages of rivaroxaban in Chinese patients with CVT were analyzed based on monitoring anti-Xa activity dynamically, to maintain therapeutic efficacy and reduce rivaroxaban-related bleeding. METHODS: A real-world cohort study was conducted involving 112 CVT patients in Xuanwu Hospital, from August 2021 through January 2024. Patients were grouped according to their doses of rivaroxaban use (5, 10, 15, and 20 mg daily) based on dynamic plasma anti-Xa activity monitored using the chromogenic anti-Xa assay. Plasma levels of anti-Xa activity reached the therapeutic range, bleeding events and the dosage of rivaroxaban among these groups were analyzed. RESULTS: The ratios of the patients whose plasma anti-Xa levels reached the standard therapeutic level (0.3-0.7 IU/mL) between the cohorts less than 20 mg/d and 20 mg/d showed no statistical difference, and no significant disparities were observed among 5, 10, 15, and 20 mg/d dose groups. There was a discernible increase in the proportion of patients with bleeding events in the 20 mg/d group, even though the results did not reach a statistical difference. Meanwhile, in patients with bleeding events, their plasma anti-Xa levels could exceed 0.7 IU/mL. CONCLUSION: Sensitivity and tolerance to rivaroxaban in Chinese may vary. Individualized therapy dosage under the guidance of anti-Xa activity monitoring may not only guarantee anticoagulation effect, but also reduce rivaroxaban-related bleeding events.

Effect of factor VIII and FVIII/PC ratio on portal vein thrombosis in liver cirrhosis: a systematic review and meta­analysis.

BACKGROUND: To date, there is an ongoing debate regarding the ability to predict PVT development using markers of FVIII or FVIII/PC ratio. This study presents evidence-based medical findings on the influence of FVIII activity levels and FVIII/PC values in the formation of PVT in cirrhosis. METHODS: The search for original studies on risk factors for portal vein thrombosis (PVT) associated with cirrhosis was conducted, which primarily focused on comparing circulating FVIII activity levels or FVIII/PC ratio in cirrhotic patients with and without PVT. The quality of evidence from each study was assessed using the Newcastle-Ottawa Scale. RESULTS: The meta-analysis included a total of 10 original studies. In total, 2250 cirrhotic patients were included, with 414 having PVT and 1836 without PVT. The pooled analysis using a random-effects model showed no significant difference in standardized mean difference (SMD) for FVIII activity levels in cirrhotic patients with or without PVT (SMD = 0.12, 95% CI=-0.46 to 0.70, P = 0.68), but there was significant heterogeneity (I2 = 95.52%, P = 0.00). Meta-regression analysis indicated that differences in mean FVIII activity levels in the PVT group, the number of cases in the non-PVT group, and the study design methods partially contributed to the heterogeneity (P < 0.05). However, compared to the non-PVT group, the PVT group had higher FVIII/PC ratio with a statistically significant difference (SMD = 0.39, 95% CI: 0.15 to 0.63, P = 0.00), and there was no significant heterogeneity (I2 = 28.62%). CONCLUSION: In conclusion, the FVIII/PC ratio not only reflects the severity of liver disease, but also can be used as one of the predictors of PVT development.

Integrated landscape of plasma metabolism and proteome of patients with post-traumatic deep vein thrombosis.

Deep vein thrombosis (DVT) is a leading cause of morbidity and mortality after trauma. Here, we integrate plasma metabolomics and proteomics to evaluate the metabolic alterations and their function in up to 680 individuals with and without DVT after trauma (pt-DVT). We identify 28 metabolites and 2 clinical parameter clusters associated with pt-DVT. Then, we develop a panel of 9 metabolites (hexadecanedioic acid, pyruvic acid, L-Carnitine, serotonin, PE(P-18:1(11Z)/18:2(9Z,12Z)), 3-Hydroxycapric acid, 5,6-DHET, 3-Methoxybenzenepropanoic acid and pentanenitrile) that can predict pt-DVT with high performance, which can be verified in an independent cohort. Furthermore, the integration analysis of metabolomics and proteomics data indicates that the upregulation of glycolysis/gluconeogenesis-TCA cycle may promote thrombosis by regulating ROS levels in red blood cells, suggesting that interfering with this process might be potential therapeutic strategies for pt-DVT. Together, our study comprehensively delineates the metabolic and hematological dysregulations for pt-DVT, and provides potential biomarkers for early detection.

Application of a Novel UPLC-MS/MS Method for Analysis of Rivaroxaban Concentrations in Dried Blood Spot and Plasma Samples Collected from Patients with Venous Thrombosis.

Despite a higher safety profile compared to vitamin K antagonists, rivaroxaban therapy is still connected with multiple adverse effects, such as a high risk of bleeding. Thus, therapeutic drug monitoring (TDM) of rivaroxaban concentrations is suggested. An alternative to plasma samples can be dried blood spots (DBS), which minimize the cost of sample storage and transport. In this study, we developed a UPLC-MS/MS method for the analysis of rivaroxaban in DBS and plasma samples. Chromatographic separation was achieved on a Zorbax Eclipse Plus C18 column (2.1 × 100 mm; 3.5 µm, Agilent Technologies Inc., Santa Clara, CA, USA) with a mobile phase consisting of water and acetonitrile, both containing 0.1% formic acid. The analytes were detected using a positive ionization mode by multiple reaction monitoring. We validated the method according to ICH guidelines. The precision and accuracy were satisfactory. Extraction recovery was approximately 57% and 66% for DBS and plasma samples, respectively. A high correlation between rivaroxaban concentrations in plasma and DBS samples collected from patients was confirmed with Deming regression. The suitability of both sampling techniques for the rivaroxaban TDM was also verified by Bland-Altman plots based on DBS-predicted and observed plasma concentrations. In addition, we found a significant relationship between rivaroxaban concentrations and coagulation parameters, including prothrombin time (PT) and international normalized ratio (INR).

Analysis of D-dimer levels for the detection of deep venous thrombosis for patients with spinal metastasis undergoing decompression with fixation.

BACKGROUND: Deep venous thrombosis (DVT) after spinal surgery has recently attracted increasing attention. Patients with spinal metastases who undergo decompression with fixation are at a high risk of developing DVT. D-dimer levels indicate the risk of DVT, and the purpose of our study was to investigate D-dimer levels as a predictor of DVT perioperatively. METHODS: We prospectively evaluated 100 patients with spinal metastases. D-dimer tests were performed twice: once before surgery and one day postoperatively. DVT was diagnosed by duplex ultrasonographic assessment of both lower extremities. Pulmonary embolisms (PEs) were diagnosed using multidetector computed tomography and pulmonary angiography. Perioperative serum D-dimer levels were compared between the DVT (+) and DVT (-) groups. The cutoff value of the D-dimer level was calculated using receiver operating characteristic analysis. RESULTS: Preoperative and postoperative DVT prevalences were 8.0% (8/100) and 6.6% (6/91), respectively, and none of the patients developed PE. Before surgery, there was no significant differences in D-dimer levels between the pre-DVT (+) and pre-DVT (-) groups. After surgery, the D-dimer level one-day postoperatively for the post-DVT (+) group (17.6 ± 11.8 mg/L) was significantly higher than that of the post-DVT (-) group (5.0 ± 4.7 mg/L). The cutoff value of the postoperative D-dimer level was 9.51(mg/L), and the sensitivity and specificity for the optimum threshold were 83.3% and 89.4%, respectively. CONCLUSIONS: Our findings suggest that preoperative D-dimer level may not be a predictor of DVT. Preoperative ultrasound examinations should be routinely performed in patients with spinal metastases. Postoperative D-dimer levels greater than 9.51(mg/L) are a predictive factor for the early diagnosis of DVT after spine surgery. TRIAL REGISTRATION: Our study was registered on Chinese Clinical Trial Registry (No.ChiCTR2000029737). Registered 11 February 2020 - Retrospectively registered, https://www.chictr.org.cn/index.aspx.

The Application Value of the D-Dimer Critical Value in Diagnosing Deep Vein Thrombosis in Patients with Bone Trauma.

BACKGROUND: D-dimer is used as a clinical indicator to predict venous thromboembolism, and some hospitals have included it in the critical value project. We aimed to evaluate whether the setting of a D-dimer critical value is helpful in the diagnosis of deep vein thrombosis in patients with bone trauma and to explore the rationality of setting a D-dimer critical value limit. METHODS: The clinical data of 4,897 bone trauma patients, hospitalized from April 1, 2022, to March 31, 2023, were retrospectively analyzed. Our hospital set the critical value limit for when the D-dimer value was greater than 15.0 mg/L, and Bayesian model was used to evaluate the relationship between deep vein thrombosis and the D-dimer limit. RESULTS: During this period, 199 times the D-dimer detection value was greater than 15.0 mg/L, and the critical value was reported and accounted for 4.06%. The predicted probability of lower limb venous thrombosis in patients who triggered the critical value of D-dimer was 40.21%, and the actual incidence was 34.67%. There were 376 patients with lower limb venous thrombosis during hospitalization, and 81.38% of the D-dimer value did not reach the critical value limit. CONCLUSIONS: The role of D-dimer as a critical value item in predicting DVT in patients with orthopedic trauma is small. Whether to list D-dimer as a critical value item can be comprehensively considered according to the own situation of medical institutions and the recommendations of clinicians. The same can be applied for the setting of critical value boundaries.

Analysis of Risk Factors for Postoperative Deep Vein Thrombosis in Traumatic Spinal Fracture Complicated with Spinal Cord Injury.

The purpose of this study is to investigate the risk factors for postoperative deep vein thrombosis (DVT) in patients with traumatic spinal fractures complicated with Spinal Cord Injury(SCI). We conducted a retrospective analysis of 110 patients with traumatic spinal fractures and SCI admitted to our hospital from March 2021 to April 2024. DVT was diagnosed using ultrasound. Patient history, general data, surgical data, laboratory tests, and thromboelastogram (TEG) results were collected. The patients were divided into a DVT group and a non-DVT group according to the results of ultrasound one week after surgery. The risk factors and diagnostic value were analyzed using binary logistic regression and receiver operating characteristic (ROC) curves in both univariate and multivariate analyses. Multivariate and ROC analysis results showed that D-dimer, lower extremity, duration of bedrest, and MA values of TEG were independent risk factors for DVT in SCI, with D-dimer having the highest diagnostic value (AUC = 0.883). The AUC values for lower extremity, duration of bedrest, and MA were 0.731, 0.750, and 0.625. In conclusion, Postoperative D-dimer > 5.065 mg/l, lower extremity < 3, duration of bedrest, and MA value of TEG are independent risk factors for postoperative DVT in SCI patients, D-dimer having the highest diagnostic value. When the above risk factors occur, clinicians need to be vigilant and take appropriate prevention and treatment measures.

Antithrombin III Levels and Outcomes Among Patients With Trauma.

Importance: Patients with trauma exhibit a complex balance of coagulopathy manifested by both bleeding and thrombosis. Antithrombin III is a plasma protein that functions as an important regulator of coagulation. Previous studies have found a high incidence of antithrombin III deficiency among patients with trauma. Objective: To assess whether changes in antithrombin III activity are associated with thrombohemorrhagic complications among patients with trauma. Design, Setting, and Participants: This cohort study was conducted from December 2, 2015, to March 24, 2017, at a level I trauma center. A total of 292 patients with trauma were followed up from their arrival through 6 days from admission. Data, including quantification of antithrombin III activity, were collected for these patients. Thromboprophylaxis strategy; hemorrhage, deep vein thrombosis (DVT), and pulmonary embolism screenings; and follow-up evaluations were conducted per institutional protocols. Data analyses were performed from September 28, 2023, to June 4, 2024. Main Outcomes and Measures: The primary study outcome measurements were associations between antithrombin III levels and outcomes among patients with trauma, including ventilator-free days, hospital-free days, intensive care unit (ICU)-free days, hemorrhage, venous thromboembolic events, and mortality. Results: The 292 patients had a mean (SD) age of 54.4 (19.0) years and included 211 men (72.2%). Patients with an antithrombin III deficiency had fewer mean (SD) ventilator-free days (27.8 [5.1] vs 29.6 [1.4]; P = .0003), hospital-free days (20.3 [8.2] vs 24.0 [5.7]; P = 1.37 × 10-6), and ICU-free days (25.7 [4.9] vs 27.7 [2.3]; P = 9.38 × 10-6) compared with patients without a deficiency. Antithrombin III deficiency was also associated with greater rates of progressive intracranial hemorrhage (21.1% [28 of 133] vs 6.3% [10 of 159]; P = .0003) and thrombocytopenia (24.8% [33 of 133] vs 5.0% [8 of 159]; P = 1.94 × 10-6). Although antithrombin III deficiency was not significantly associated with DVT, patients who developed a DVT had a more precipitous decrease in antithrombin III levels that were significantly lower than patients who did not develop a DVT. Conclusions and Relevance: In this cohort study of patients with trauma, antithrombin III deficiency was associated with greater injury severity, increased hemorrhage, and increased mortality, as well as fewer ventilator-free, hospital-free, and ICU-free days. Although this was an associative study, these data suggest that antithrombin III levels may be useful in the risk assessment of patients with trauma.

Novel Strategy for Human Deep Vein Thrombosis Diagnosis Based on Metabolomics and Stacking Machine Learning.

Deep vein thrombosis (DVT) is a serious health issue that often leads to considerable morbidity and mortality. Diagnosis of DVT in a clinical setting, however, presents considerable challenges. The fusion of metabolomics techniques and machine learning methods has led to high diagnostic and prognostic accuracy for various pathological conditions. This study explored the synergistic potential of dual-platform metabolomics (specifically, gas chromatography-mass spectrometry (GC-MS) and liquid chromatography-mass spectrometry (LC-MS)) to expand the detection of metabolites and improve the precision of DVT diagnosis. Sixty-one differential metabolites were identified in serum from DVT patients: 22 from GC-MS and 39 from LC-MS. Among these, five key metabolites were highlighted by SHapley Additive exPlanations (SHAP)-guided feature engineering and then used to develop a stacking diagnostic model. Additionally, a user-friendly interface application system was developed to streamline and automate the application of the diagnostic model, enhancing its practicality and accessibility for clinical use. This work showed that the integration of dual-platform metabolomics with a stacking machine learning model enables faster and more accurate diagnosis of DVT in clinical environments.

The association between ABO blood types and peripherally inserted central catheter-related venous thrombosis for patients with cancer: A retrospective 7-year single-center experience and meta-analysis.

BACKGROUND: This meta-analysis evaluated the association of ABO blood type on central venous catheter-related thrombosis (CRT). METHODS: Data were derived from 8477 patients at Sichuan Cancer Hospital from January 2015 to December 2021 and articles previously published in Chinese and English databases. Data from our hospital were collected by reviewing electronic medical records. Searched databases included CNKI, VIP, Wan Fang, China Biomedical, PubMed, Cochrane Library, Web of Science, EMBASE, CINAHL, and OVID (up to July 2023). All statistical analyses were performed using SPSS 22.0 and Revman 5.3. The Bonferroni method was used to adjust the α test level for reducing the risk of I errors in the multiple comparisons. A P-value < 0.05 was considered statistically significant. Continuous variables were analyzed using a two-independent sample T test. The chi-squared test was used to analyze categorical data. RESULTS: A total of 818 studies were identified in the search. However, only four studies met the inclusion criteria. Combined with data from our hospital, five studies were included with a total of 18407 cases. Those studies only focused on peripherally inserted central catheter (PICC). According to the data from our hospital, logistic regression revealed that myelosuppression [odds ratio (OR), 1.473; P = 0.005) and radiotherapy(OR, 1.524; P<0.001) were independent risk factors for symptomatic PICC- VTE. Blood types A (OR, 1.404; P = 0.008), B (OR, 1.393; P = 0.016), and AB (OR, 1.861; P<0.001) were associated with a significantly higher risk of symptomatic PICC-VTE than blood type O. And the hematologic tumor has a significantly higher risk of PICC-VTE than breast cancer (OR, 0.149; P < 0.001), and gynecological tumor (OR, 0.386; P = 0.002). In the meta-analysis of the association between ABO blood type and PICC related thrombosis, the I2 statistic was not significant in any of the pairwise comparisons, and a fixed-effects model was subsequently used for all analyses. The meta-analysis indicated that the incidence of symptomatic PICC related thrombosis was significantly lower in individuals with the O blood type (3.30%) than in those with the A (4.92%), B (5.20%), or AB (6.58%) blood types (all P < 0.0083). However, in the pairwise comparisons among A, B, and AB, the differences were nonsignificant (P > 0.0083). CONCLUSIONS: According to the results from our single center analysis, we found that myelosuppression, radiotherapy, hematologic tumor, and non-O blood type were independent risk factors for symptomatic PICC related thrombosis. In the meta-analysis of further exploration of ABO blood type and PICC related thrombosis, we found that ABO blood type may influence PICC related thrombosis, and individuals with the O blood type had a lower risk of PICC related thrombosis than those with non-O blood type.

Discovery of crucial cytokines associated with deep vein thrombus formation by protein array analysis.

BACKGROUND: Expanding the number of biomarkers is imperative for studying the etiology and improving venous thromboembolism prediction. In this study, we aimed to identify promising biomarkers or targeted therapies to improve the detection accuracy of early-stage deep vein thrombosis (DVT) or reduce complications. METHODS: Quantibody Human Cytokine Antibody Array 440 (QAH-CAA-440) was used to screen novel serum-based biomarkers for DVT/non-lower extremity DVT (NDVT). Differentially expressed proteins in DVT were analyzed using bioinformatics methods and validated using a customized array. Diagnostic accuracy was calculated using receiver operating characteristics, and machine learning was applied to establish a biomarker model for evaluating the identified targets. Twelve targets were selected for validation. RESULTS: Cytokine profiling was conducted using a QAH-CAA-440 (RayBiotech, USA) quantimeter array. Cross-tabulation analysis with Venn diagrams identified common differential factors, leading to the selection of 12 cytokines for validation based on their clinical significance. These 12 biomarkers were consistent with the results of previous array analysis: FGF-6 (AUC = 0.956), Galectin-3 (AUC = 0.942), EDA-A2 (AUC = 0.933), CHI3L1 (AUC = 0.911), IL-1 F9 (AUC = 0.898), Dkk-4 (AUC = 0.88), IG-H3 (AUC = 0.876), IGFBP (AUC = 0.858), Gas-1 (AUC = 0.858), Layilin (AUC = 0.849), ULBP-2 (AUC = 0.813)and FGF-9 (AUC = 0.773). These cytokines are expected to serve as biomarkers, targets, or therapeutic targets to differentiate DVT from NDVT. CONCLUSIONS: EDA-A2, FGF-6, Dkk-4, IL-1 F9, Galentin-3, Layilin, Big-h3, CHI3L1, ULBP-2, Gas-1, IGFBP-5, and FGF-9 are promising targets for DVT diagnosis and treatment.

The genetic effects of hormones modulated by the Pituitary-Thyroid/Adrenal/Gonadal axis on the risk of developing venous thromboembolism: a mendelian randomization study.

BACKGROUND: The aim of this study was to explore the genetic effects of hormones modulated through the pituitary-thyroid/adrenal/gonadal axis on the risk of developing venous thromboembolism (VTE) and to investigate the potentially causal relationships between them. METHODS: A two-sample Mendelian randomization (MR) design was used. The single-nucleotide polymorphisms (SNPs) used as instrumental variables for various hormones and hormone-mediated diseases were derived from published genome-wide association studies (GWASs). Summary statistics for the risk of developing VTE (including deep venous thrombosis [DVT] and pulmonary embolism [PE]) were obtained from the UK Biobank and the FinnGen consortium. Inverse-variance weighting (IVW) was applied as the primary method to analyse causal associations. Other MR methods were used for supplementary estimates and sensitivity analysis. RESULTS: A genetic predisposition to greater free thyroxine (FT4) concentrations was associated with a greater risk of developing DVT (OR = 1.0007, 95%CI [1.0001-1.0013], p = 0.0174) and VTE (OR = 1.0008, 95%CI [1.0002-1.0013], p = 0.0123). Genetically predicted hyperthyroidism was significantly associated with an increased risk of developing DVT (OR = 1.0685, 95%CI [1.0139-1.1261], p = 0.0134) and VTE (OR = 1.0740, 95%CI [1.0165-1.1348], p = 0.0110). According to the initial MR analysis, testosterone concentrations were positively associated with the risk of developing VTE (OR = 1.0038, 95%CI [1.004-1.0072], p = 0.0285). After sex stratification, estradiol concentrations were positively associated with the risk of developing DVT (OR = 1.0143, 95%CI [1.0020-1.0267], p = 0.0226) and VTE (OR = 1.0156, 95%CI [1.0029-1.0285], p = 0.0158) in females, while the significant relationship between testosterone and VTE did not persist. SHBG rs858518 was identified as the only SNP that was associated with an increased risk of developing VTE, mediated by estradiol, in females. CONCLUSIONS: Genetically predicted hyperthyroidism and increased FT4 concentrations were positively associated with the risk of developing VTE. The effects of genetically predicted sex hormones on the risk of developing VTE differed between males and females. Greater genetically predicted estradiol concentrations were associated with an increased risk of developing VTE in females, while the SHBG rs858518 variant may become a potential prevention and treatment target for female VTE.

The Effectiveness and Safety of Rivaroxaban and Edoxaban in the Treatment of Lower Extremity Deep Vein Thrombosis.

INTRODUCTION: Deep vein thrombosis (DVT) is a medical condition characterized by forming a blood clot, or thrombus, in one of the deep veins, typically in the legs. It is a type of venous thromboembolism, which refers to the formation of blood clots in the veins. It is caused by Virchow's triad (stasis, hypercoagulation, and endothelial injury). OBJECTIVE: Our main objective is to explore the effectiveness and safety of rivaroxaban and edoxaban in treating lower extremity DVT. METHODS: We conducted a retrospective study involving 406 patients subjected to DVT treatment using direct oral anticoagulants (edoxaban and rivaroxaban) at our hospital. We recruited adult patients (aged 18 years and more) diagnosed with lower extremity DVT and received treatment with either rivaroxaban or edoxaban as the primary anticoagulant therapy for DVT. We excluded patients who received treatment with other anticoagulant medications (warfarin and heparin) as the primary therapy for DVT. RESULTS: The groups showed statistically significant differences in red blood cell count and hemoglobin levels, with the edoxaban group having high values. However, the 2 groups observed no statistically significant differences in creatinine clearance, white blood cell count, platelet count, C-reactive protein, and D-dimer levels. The difference in the incidence of pulmonary embolism between the 2 groups was statistically significant (P value < 0.001). The edoxaban group had fewer pulmonary embolism patients than the rivaroxaban group. The reduction in recurrent thrombosis was significantly higher in the rivaroxaban group compared to the edoxaban group. There were no significant differences in the major bleeding at various sites across the 2 treatment groups (P > 0.05). CONCLUSIONS: Rivaroxaban's pharmacokinetic profile includes rapid absorption and a relatively short half-life. It means that once administered, rivaroxaban quickly reaches its peak concentration in the blood and is subsequently eliminated from the body within a relatively short period. Edoxaban's pharmacokinetic profile may include slower absorption and a longer half-life than rivaroxaban. It can result in a slower rate of achieving peak concentration and a more prolonged presence in the bloodstream. These results emphasize the need for careful consideration of anticoagulant therapy in patients with underlying cancer and underscore the importance of managing risks while providing adequate anticoagulation to prevent thrombotic events.

A novel factor V compound heterozygous mutation associated with thrombosis (Y1961C; FV-Kanazawa, together with 1982_1983del).

BACKGROUND: Factor (F)V is pivotal in both procoagulant and anticoagulant mechanisms. The present report describes a novel F5 mutation in a FV-deficient patient (FV activity, 6 IU/dL; FV antigen, 32 IU/dL) complicated by recurrent deep vein thrombosis. The patient demonstrated activated protein C resistance (APCR) with compound heterozygous mutations consisting of FV-Y1961C (FVKanazawa) and FV-1982_1983del. OBJECTIVES: To clarify thrombotic mechanisms associated with this FV abnormality. METHODS AND RESULTS: Levels of FV-1982_1983del were below the detection sensitivity in our expression experiments using human embryonic kidney 293T cells, and analyses were targeted, therefore, on the FV-Y1961C mutation. Activated partial thromboplastin time-based clotting assays demonstrated that FV-Y1961C exhibited APCR and that the reduced activated protein C (APC) susceptibility in FVa-Y1961C resulted in a marked depression of APC-catalyzed inactivation with delayed cleavage at Arg506 and little cleavage at Arg306 with or without protein S. The APC cofactor activity of FV-Y1961C in APC-catalyzed FVIIIa inactivation promoted by Arg336 cleavage in FVIII was impaired. The binding affinity of FVa-Y1961C to phospholipid membranes was reduced in reactions involving APC/protein S-catalyzed inactivation and in prothrombinase activity. Furthermore, the addition of FVa-Y1961C to plasma failed to inhibit tissue factor-induced procoagulant function. These characteristics were similar to those of FV-W1920R (FVNara) and FV-A2086D (FVBesançon). CONCLUSION: We identified a compound heterozygous FV-Y1961C mutation in the C1 domain representing a novel FV mutation (FVKanazawa) resulting in not only APCR due to impaired FVa susceptibility and FV cofactor activity for APC function but also impaired inhibition of tissue factor-induced procoagulant function. These defects in anticoagulant function associated with FV in FV-Y1961C contributed to a prothrombotic state.