Background Deep vein thrombosis (DVT) is a common complication and the second leading cause of death in cancer patients. Pro-inflammatory stimuli in the cancer microenvironment induce nuclear factor kappa B (NF-κB) signaling pathway that plays an integral role in immunothrombosis mechanism. Objective To investigate the role of inflammatory and coagulation biomarkers in the development of DVT in cancer patients with high risk of thrombosis (Khorana score ≥2). Subjects and methods This study was a cross-sectional study at Dr. Kariadi General Hospital. The serum levels of proinflammatory cytokines, ie, NF-κB, interleukin-6 (IL-6), C-reactive protein (CRP), tumor necrosis factor-alpha (TNF-α), and coagulation biomarkers, ie, tissue factor (TF), prothrombin fragment F1+2 (F1+2), fibrinogen and D-dimer were measured in newlydiagnosed cancer patients with a highrisk of thrombosis. Color duplex sonography was used for DVT screening. Results From January to November 2021, there were 83 eligible patients. DVT was confirmed in 8 subjects (9.63%). Univariate analysis revealed a significant difference between the median age of patients with DVT compared to non-DVT patients, 49.5 years (range: 23–60 years) and 42 years (range: 19–60 years), with p=0.046. D-dimer level was higher in DVT patients [(6.020 µg/L, range 2.090–20.000) vs (1.940 µg/L, range 270–20.000), p=0.005]. Multivariate analysis revealed age and D-dimer were significantly correlated with DVT incidence. In all patients, there were significant positive correlations between several inflammatory and coagulation activation parameters, which were IL-6 with D-dimer and F1+2, CRP with F1+2 and D-dimer as well as TNF-α with F1+2. However, these findings were not shown in DVT patients. Conclusion In cancer patients with a high risk of thrombosis, age and D-dimer level are the significant variables towards the incidence of DVT. In patients with DVT, there was no significant correlation between inflammatory and coagulation activation parameters.
Hospital management information systems are very helpful in carrying out services to customers. In this study, problems were found regarding the process of presenting the results of radiological image data that have not been facilitated throughout the patient’s examination room. The slow results of radiological image data, especially for immediate results (CITO) in emergency department services have not been facilitated due to having to wait for the results printed. The results of reading radiological images (expertise) are waiting to be printed first. To solve this problem, a research was conducted focusing on the development of the Radiology Information System (RIS) information system model and Picture Archiving and Communication System (PACS). The development of this system is analysed using the KANO method to classify the expected system menu needs attributes. The test results get the percentage of better value higher than the worse that is 9.81 which means that it can be known attributes that greatly influence the increase in customer satisfaction if these attributes are not fulfilled, the disappointment level is very high, but the implementation stage is not optimal so that future research can present results better research.
Background Deep vein thrombosis (DVT) is a common complication in cancer. Although thromboprophylaxis in cancer patients is recommended by the guidelines, clinicians’ use of thromboprophylaxis remains limited due to cost, bleeding complications, and reluctance to give injectable anticoagulants. Inflammation plays essential roles in the pathogenesis of cancer-associated thrombosis. Owing to its ability to decrease proinflammatory cytokines, statins have anti-inflammatory properties. Thus, statins can be possibly utilized as thromboprophylaxis therapy in cancer patients undergoing chemotherapy. Objective To compare the effectiveness of atorvastatin and rivaroxaban for DVT prevention in high-risk thrombosis patients with cancer undergoing chemotherapy. Methods Double-blind, randomized controlled trial involving cancer patients with high-risk of thrombosis undergoing chemotherapy. We randomly assigned patients without deep-vein thrombosis at screening to receive atorvastatin 20 mg or rivaroxaban 10 mg daily for up to 90 days. Doppler ultrasonography was performed 90 days following chemotherapy to diagnose DVT. Average cost-effectiveness analysis was performed to analyze the cost of atorvastatin compared to rivaroxaban. Results Of the eighty six patients who underwent randomization, primary efficacy end point was observed in 1 of 42 patients (2.3%) in the atorvastatin group and in 1 of 44 (2.2%) in the rivaroxaban group (Odds Ratio [OR], 0.953; 95% confidence interval [CI], 0.240 to 3.971; p = 1.000). There was a significant difference in the incidence of major bleeding, 2 of 42 patients (4.8%) in the atorvastatin group and 12 of 44 (27.3%) in the rivaroxaban group (OR, 0.257; 95% CI, 0.07 to 0.94; p = 0.007). The average cost-effectiveness ratio of using atorvastatin was lower than that of rivaroxaban. Conclusion Atorvastatin did not differ significantly from rivaroxaban in reducing the incidence of DVT, lower bleeding risk, and cost-effectiveness for thromboprophylaxis in high-risk thrombosis patients with cancer undergoing chemotherapy. The presence of limited statistical power and wide confidence intervals in this study needs further study to strengthen the efficacy of atorvastatin as DVT prophylaxis in cancer patients. Trial registration ISRCTN71891829, Registration Date: 17/12/2020.
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