[Analysis of risk factors for venous thromboembolism in patients with polycythemia vera and establishment of a prediction model].

Objective: To investigate the risk factors of venous thrombosis in patients with polycythemia vera (PV) and establish a prediction model for venous thrombosis. Methods: PV patients with JAK2V617F gene mutation positive in the Second Hospital of Tianjin Medical University from September 2017 to November 2023 were retrospectively included. The patients were divided into groups according to whether they had venous thrombosis. After matching age and gender factors with propensity scores, 102 patients were included in the venous thrombosis group [46 males, 56 females, with a median age M (Q1, Q3) of 52 (44, 60) years] and 204 cases were included in the group without venous thrombosis [92 males, 112 females, with a median age of 52 (44, 59) years]. The clinical and laboratory characteristics, disease progression and incidence of gene mutation were compared between the two groups. The follow-up cohort ended on November 20, 2023, with a median follow-up [M (Q1, Q3)] of 11 (1, 53) years. Multivariate Cox risk model was used to analyze the influencing factors of venous thrombosis in PV patients, and establish a scoring system for the venous thrombosis risk factor prediction model of PV patients. Receiver operating characteristic (ROC) curve was used to evaluate the predictive efficiency of the model. Results: Hemoglobin concentration, the ratio of hematopoietic volume≥55%, neutrophil to lymphocyte ratio≥5, hypertension, subcostal spleen≥5 cm and secondary myelofibrosis in venous thrombosis group were higher than those in non-venous thrombosis group (all P<0.05). In addition, the proportion of history of thromboembolism, V617F gene mutation load (V617F%)≥50%, diabetes mellitus, ASXL1 mutation and secondary reticular silver staining≥3 in the venous thrombosis group were higher than those in the non-venous thrombosis group (all P<0.05). The proportion of PV patients with 3 or more gene mutations was 44.1% (45/102) in venous thrombosis group, which was higher than that of PV patients without venous thrombosis 29.9% (61/204) (P=0.014). The proportion of ASXL1 gene mutation in venous thrombosis group was 17.6% (18/102), which was higher than the 4.9% (10/204) in non-venous thrombosis group (P<0.001). Multivariate Cox risk model analysis showed that previous thromboembolism history (HR=2.031, 95%CI: 1.297-3.179, P=0.002), V617F%≥50% (HR=2.141, 95%CI: 1.370-3.347, P=0.001), ASXL1 mutation (HR=4.632, 95%CI: 1.497-14.336, P=0.008), spleen subcostal≥5 cm (HR=1.771, 95%CI: 1.047-2.996, P=0.033) are the risk factors of venous thrombosis in PV patients. According to HR values, a score system for predicting risk of venous thrombosis in PV patients was established: previous history of thromboembolism, V617F%≥50% and spleen subcostoal≥5 cm were assigned 1 point respectively, and ASXL1 mutation was assigned 2 points. Low risk group: score 0, medium risk group: score 1-2, high risk group: score≥3. The ROC curve analysis of the model for predicting venous thrombosis in PV patients showed that the area under the curve (AUC) was 0.807 (95%CI: 0.755-0.860), with the sensitivity of 88.2% and the specificity of 59.8% when the Youden index was 0.48. Conclusions: Previous thromboembolism history, V617F%≥50%, ASXL1 mutation, spleen subcostoal≥5 cm are risk factors of venous thrombosis in PV patients. The established prediction model has good prediction efficiency.

Thrombotic and Hemorrhagic Outcomes After Elective Surgery in Preoperatively Anticoagulated Patients.

OBJECTIVE: To better understand the incidence and timing of thrombotic and hemorrhagic complications in anticoagulated patients undergoing elective surgery. METHODS: Using institutional American College of Surgeons National Surgical Quality Improvement Program data, we identified patients receiving preoperative anticoagulation undergoing elective surgery between 2011 and 2021. Medical records review supplemented National Surgical Quality Improvement Program data to detail complication and anticoagulation type and timing. Outcomes for postoperative hemorrhage, acute venous thromboembolism (VTE), and cerebrovascular accident (CVA) were collected. RESULTS: A total of 1442 patients met inclusion criteria, and 84 patients (5.8%) experienced 1 or more complications. There were 4 CVA (0.3%), 16 VTE (1.1%), and 68 bleeding (4.7%) events postoperatively. Three patients (75%) with CVA, 10 patients (62.5%) with VTE, and 18 patients (26.5%) with postoperative bleeding had resumed therapeutic anticoagulation before the complication. In terms of long-term sequelae in the CVA cohort, there was 1 mortality (25%), and an additional patient (25%) continues to experience long-term physical and mild cognitive impairments. Patients who experienced postoperative VTE required only anticoagulation adjustments. In patients who experienced bleeding complications, 6 (8.8%) required intensive care unit admissions, and there was 1 mortality (1.5%). CONCLUSION: Despite the increased use of anticoagulation over time, balancing postoperative bleeding and thrombotic risks remains challenging. Bleeding complications were most common in preoperatively anticoagulated patients undergoing elective surgery. Earlier postoperative resumption of anticoagulation is unlikely to prevent thrombotic events as 65% of patients had already resumed therapeutic anticoagulation.

Effectiveness and safety of continuous low-molecular-weight heparin versus switching to direct oral anticoagulants in cancer-associated venous thrombosis.

Given the existing uncertainty regarding the effectiveness and safety of switching from low-molecular-weight heparin (LMWH) to direct oral anticoagulants (DOACs) in patients with cancer-associated venous thrombosis (CAT), we conducted a comprehensive population-based cohort study utilizing electronic health database in Hong Kong. A total of 4356 patients with CAT between 2010 and 2022 were included, with 1700 (39.0%) patients switching to DOAC treatment. Compared to continuous LMWH treatment, switching to DOACs was associated with a significantly lower risk of hospitalization due to venous thromboembolism (HR: 0.49 [95% CI = 0.35-0.68]) and all-cause mortality (HR: 0.67 [95% CI = 0.61-0.74]), with no significant difference in major bleeding (HR: 1.04 [95% CI = 0.83-1.31]) within six months. These findings provide reassurance regarding the effectiveness and safety of switching from LMWH to DOACs among patients with CAT, including vulnerable patient groups.

Research progress on knowledge-attitude-practice of VTE prevention in hospitalized patients: A review.

This study analyzes and summarizes the assessment tools, current situation, and influencing factors of venous thromboembolism (VTE) prevention knowledge, attitudes, and practices (KAP) among patients. This study aimed to provide a reference basis for developing targeted health education plans and intervention strategies for patients to improve their knowledge and beliefs concerning VTE prevention. This study aimed to increase the implementation rate of VTE prevention measures and ultimately reduce the incidence of VTE.The current studies found that the factors influencing knowledge, attitude, and practice of VTE prevention in hospitalized patients include demographic factors (age, sex, education level, occupation), disease-related factors (treatment stage, injury site, and wards), and other factors (receiving VTE-related knowledge education and having medical workers at home).

Deep Learning-Based Dynamic Risk Prediction of Venous Thromboembolism for Patients With Ovarian Cancer in Real-World Settings From Electronic Health Records.

PURPOSE: Patients with epithelial ovarian cancer (EOC) have an elevated risk for venous thromboembolism (VTE). To assess the risk of VTE, models were developed by statistical or machine learning algorithms. However, few models have accommodated deep learning (DL) algorithms in realistic clinical settings. We aimed to develop a predictive DL model, exploiting rich information from electronic health records (EHRs), including dynamic clinical features and the presence of competing risks. METHODS: We extracted EHRs of 1,268 patients diagnosed with EOC from January 2007 through December 2017 at the National Cancer Center, Korea. DL survival networks using fully connected layers, temporal attention, and recurrent neural networks were adopted and compared with multi-perceptron-based classification models. Prediction accuracy was independently validated in the data set of 423 patients newly diagnosed with EOC from January 2018 to December 2019. Personalized risk plots displaying the individual interval risk were developed. RESULTS: DL-based survival networks achieved a superior area under the receiver operating characteristic curve (AUROC) between 0.95 and 0.98 while the AUROC of classification models was between 0.85 and 0.90. As clinical information benefits the prediction accuracy, the proposed dynamic survival network outperformed other survival networks for the test and validation data set with the highest time-dependent concordance index (0.974, 0.975) and lowest Brier score (0.051, 0.049) at 6 months after a cancer diagnosis. Our visualization showed that the interval risk fluctuating along with the changes in longitudinal clinical features. CONCLUSION: Adaption of dynamic patient clinical features and accounting for competing risks from EHRs into the DL algorithms demonstrated VTE risk prediction with high accuracy. Our results show that this novel dynamic survival network can provide personalized risk prediction with the potential to assist risk-based clinical intervention to prevent VTE among patients with EOC.

Evaluation of the impact of bundled nursing strategies on the prevention of venous thromboembolism in patients with cerebral hemorrhage.

To investigate the effectiveness and value of bundled nursing strategies for venous thromboembolism prevention in nonsurgical patients with cerebral hemorrhage, 200 patients who underwent treatment for cerebral hemorrhage in our hospital from January 2023 to July 2023 were chosen as the study subjects. Patients were divided into control group and experimental group according to different treatment methods. For patients in the control group, regular care was used, while for patients in the observation group, bundled care was used for intervention. This study used a venous thromboembolism risk factor assessment form to assess the probability of patients suffering from venous thromboembolism. It used the incidence of venous thromboembolism, disease cognition level, coagulation function, fibrinolysis, changes in blood routine, exercise ability, improvement in quality of life, and patient satisfaction with nursing mode as detection indicators to obtain the changes in various indicator values and patient satisfaction scores under different nursing interventions. Prior to nursing intervention, the significant statistical differences did not exist (P > .05) between the control group and the observation group in terms of general information, number of venous thromboembolism risk levels, degree of disease cognition, coagulation function, blood routine, exercise ability, quality of life, and fibrinolysis indicators. After a period of nursing intervention, the significant statistical difference existed (P < .05) between the control group and the observation group in terms of general information, number of venous thromboembolism risk levels, degree of disease cognition, coagulation function, blood routine, exercise ability, quality of life, and fibrinolysis indicators. In the patient satisfaction score, the satisfaction scores of male and female patients with general care were 0.865 and 0.878, respectively, and the satisfaction scores for bundled care were 0.942 and 0.965, respectively. In conclusion, bundled care can better improve the coagulation status and blood routine indexes of nonsurgical patients with cerebral hemorrhage compared with ordinary care, thus contributing to better prevention of venous thromboembolism in nonsurgical patients with cerebral hemorrhage.