• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.12 no.2
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• pp.235-239
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• 2009

Patients with inflammatory bowel disease are known to have hypercoagulability and an increased risk for venous thromboembolism. The deep veins of the lower extremities and the pulmonary veins are the most common sites of thrombosis in ulcerative colitis. However, hepatic vein thrombosis (Budd-Chiari syndrome) is a very rare extra-intestinal complication of ulcerative colitis in children. We describe a case of hepatic vein thrombosis in a 15-year-old girl with ulcerative colitis who presented with abdominal pain and hematochezia. Doppler ultrasonography and an abdominal CT scan revealed the characteristic filling defects caused by large thrombi in both hepatic veins. These lesions were successfully treated with conventional management for ulcerative colitis and anticoagulation therapy.

• Clinical and Experimental Reproductive Medicine
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• v.26 no.1
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• pp.123-126
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• 1999

A successful outcome of pregnancy requires an efficient uteroplacental vascular system. Since this system may be compromised by disorders of haemostasis associated with a prothrombotic state, maternal thrombophilia might be a risk factor for fetal loss. Hereditary deficiencies of the naturally occuring anticoagulants are well recognized conditions predisposing to recurrent venous thromboembolism. Since thrombotic phenomena have been implied as a cause of abortion and stillbirth, these deficiencies might increase the risk of fetal demise. We have experienced a case of antiphospholipid syndrome associated with protein C deficiency in patient with recurrent spontaneous abortion. So we report this case with a brief review of literatures.

• Journal of Medicine and Life Science
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• v.19 no.3
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• pp.125-129
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• 2022

Patients with nephrotic syndrome (NS) are generally known to be at greater risk for thrombosis, with arterial thrombosis-related complications being relatively rare compared to venous thrombosis-related complications. This report describes a 46-year-old male with historically proven minimal change disease (MCD) complicated by acute aortoiliac thrombosis. He had been diagnosed with MCD 8 months previously and was treated successfully with steroids. He was prescribed a second course of high-dose steroids (prednisolone 1 mg/kg/day) due to a relapse of MCD at the outpatient clinic 8 days before the emergency department visit. The patient presented with severe pain in both lower limbs and was diagnosed with aortoiliac thrombosis that developed during high-dose steroid treatment. He subsequently underwent surgical thromboembolectomy. Hypoalbuminemia has the strongest association with the risk of thromboembolism. According to international clinical practice guidelines, anticoagulant therapy is recommended when serum albumin is ≤2-2.5 g/dL. However, as serum albumin levels may be relatively high in the early phase of NS, as in this case report, an individualized anticoagulation strategy for each patient should be considered, regardless of serum albumin levels.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.15
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• pp.6705-6709
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• 2015

Background: Venous thromboembolisms (VTEs) constitute a group of diseases including deep vein thrombosis (DVT) and pulmonary embolism (PE). They regarded as the second leading cause of death in cancer patients and several studies have confirmed that VTEs have a negative impact on survival and recurrent rate in both ovarian and endometrial cancer cases. The incidence of VTEs differs worldwide and depends on several risk factors including race, underlying disease, lifestyle, body weight, BMI and genetic risk factors. There is heterogeneity of DVT rates between Asian and Western countries. This study was conducted in order to evaluate the character and incidence of VTEs in gynecologic oncology patients in King Chulalongkorn Memorial Hospital over a 10 year period. Materials and Methods: A retrospective chart review was performed with VTEs defined as objective diagnosis of acute DVT or PE with typical symptoms and signs. Diagnoses were approved byan internist and/or confirmed with imaging studies. Data from both outpatient and inpatient sessions of the affected cases from January 2004 to December 2013 were extracted. General characteristics of the patients were collected with details of the diseases, types of cancer, stage, date of diagnosis of cancer, operative data, treatment outcome, progression free survival and overall survival. Results: Thirty cases of VTEs were identified in a total 2,316 gynecologic oncology cases. The incidence of symptomatic VTEs in total gynecologic oncology patients in our institution is 1.295%. The incidence of VTEs in ovarian cancer patients in our institution was 5.9%. Duration for VTE detection ranged from 13 months before diagnosis of cancer to 33 months after diagnosis of cancer. Most of the VTE cases were detected in ovarian cancer patients (60%). The most common cell type was adenocarcinoma (moderately to poorly differentiated) which accounted for 26.7% of the cases. The second most common cell type was clear cell carcinoma with 23.3% of the cases. Thirty percent of VTE cases developed before cancer was diagnosed, 20% were diagnosed at the same time as cancer detection and fifty percent developed after cancer was diagnosed. Median disease free survival of the gynecologic oncology patients with VTE was 7.5 months. Median overall survival (OS) was 12 months. Median progession free survivals of DVT and PE groups were 11.5 and 5.5 months, respectively. OS of DVT and PE was 12.0 and 11.5 months respectively. Conclusions: The incidence of VTE in Asian countries is believed to be lower than in European or Western countries. From our retrospective review, the incidence of VTEs in all types of gynecologic oncology was 1.295%, much lower than reported in the West. The reason for the lower incidence may genetic differences. Another factor is that VTE in this review was symptomatic, which is less than asymptomatic VTE. More than half of VTEs in this study developed in ovarian cancer patients. The results are compatible with earlier reports that among gynecologic malignancies, the incidence of VTE is highest in ovarian cancer.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.4
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• pp.1311-1315
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• 2012

Objectives: Thrombotic risk is increased in patients with cancer and there are important implications for those who suffer a venous thromboembolism (VTE). We undertook this study to determine the frequency, clinical patterns, and outcome of VTE in Saudi patients with cancer. Methods: Cancer (solid tumors and lymphoma) patients who developed VTE from January 2004 to January 2009 were studied retrospectively. Demographics and clinical characteristics related to thrombosis and cancer were evaluated. Results: A total of 701 patients with cancer were seen during the study period. VTE was diagnosed in 47 (6.7%) patients (median age 52, range 18-80 years). Lower limb DVT was the most common type, seen in 47% patients, followed by PE in 19%, and 19% patients had both DVT & PE. Thrombosis was symptomatic in 72% patients while it was an incidental finding on routine workup in 28%. Cancer and VTE were diagnosed at the same time in 38% of patients, and 47% patients developed VTE during the course of disease after the cancer diagnosis. The majority of VTE post cancer diagnoses occurred during the first year (median 4 months, range 1-14). Additional risk factors for VTE were present in 22 (47%) patients and 14 (30%) of these patients were receiving chemotherapy at the time of thrombosis. Only 5 (10.6%) patients were receiving thrombo-prophylaxis at the time of VTE diagnosis. Most common types of tumors associated with thrombosis were breast cancer, non-Hodgkin's lymphoma and lung cancer. The majority of the affected patients (79%) had advanced stage of cancer. After a median follow-up of 13 (range 0.5-60) months, 38 (81%) patients had died. There was no difference in the mortality of patients with symptomatic or asymptomatic thrombosis (82% vs 78.6%). Conclusions: Thrombotic complications can develop in a significant number of patients with cancer, and almost half of the patients have additional risk factors for VTE. Thrombosis is usually associated with advanced disease and can be asymptomatic in more than a quarter of cases. Thromboprophylaxis in cancer patients is under-utilized. Community based studies are needed to accurately define the extent of this problem and to develop effective prophylactic strategies.

• Journal of Gastric Cancer
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• v.20 no.3
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• pp.267-276
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• 2020

Purpose: The American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) risk calculator is useful in predicting postoperative adverse events. However, its accuracy in specific disorders is unclear. We validated the ACS NSQIP risk calculator in patients with gastric cancer undergoing curative laparoscopic surgery. Materials and Methods: We included 207 consecutive early gastric cancer patients who underwent laparoscopic gastrectomy between January 2018 and January 2019. The preoperative characteristics and risks of the patients were reviewed and entered into the ACS NSQIP calculator. The estimated risks of postoperative outcomes were compared with the observed outcomes using C-statistics and Brier scores. Results: Most of the patients underwent distal gastrectomy with Roux-en-Y reconstruction (74.4%). We did not observe any cases of mortality, venous thromboembolism, urinary tract infection, renal failure, or cardiac complications. The other outcomes assessed were complications such as pneumonia, surgical site infections, any complications requiring re-operation or hospital readmission, the rates of discharge to nursing homes/rehabilitation centers, and the length of stay. All C-statistics were <0 and the highest was for pneumonia (0.65; 95% confidence interval: 0.58-0.71). Brier scores ranged from 0.01 for pneumonia to 0.155 for other complications. Overall, the risk calculator was inconsistent in predicting the outcomes. Conclusions: The ACS NSQIP surgical risk calculator showed low predictive ability for postoperative adverse events after laparoscopic gastrectomy for patients with early gastric cancer. Further research to adjust the risk calculator for these patients may improve its predictive ability.

• The Journal of Internal Korean Medicine
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• v.33 no.2
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• pp.160-171
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• 2012

Background and Objective : Warfarin is the standard anticoagulation treatment for atrial fibrillation, venous thromboembolism (VTE), and mechanical heart valves. Close monitoring of the International Normalized Ratio (INR) is required due to the drug's very narrow therapeutic window. Many factors can affect INR levels. Drug and food interactions are frequently cited as causes of adverse events with warfarin. We discussed interactions between herbs and warfarin studied in this research. Methods : In this review, PubMed was used to search medical journals. Keywords "warfarin AND interaction" were applied. Results : 55 articles were included. The possibility of correlation between warfarin and single herbal medicines such as Salviae Miltiorrhizae Radix, Angelicae Gigantis Radix, Ginseng Radix Alba, Lycii Fructus, Ginkgo Folium, Menthae Herba, Trigonellae semen was suggested. Furthermore, some herbal compounds interacting with warfarin were reported. The conclusion of studies reporting the effect of herbal medicine on warfarin were controversial due to small size or quality of research. Conculsions : We suggest that we should prescribe therapeutic herbal medicines to patients using warfarin more carefully and do INR follow-up regularly.

• KSBB Journal
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• v.27 no.6
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• pp.375-380
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• 2012

We previously reported that Ultra nattokinase$^{(R)}$ showed high fibrinolytic activity and revealed antithrombotic effect in rat blood plasma based on its ability to suppress collagen-induced platelet aggregation. This research was carried out to verify the clot lysing activity and blood flow enhancing effects of Ultra nattokinase$^{(R)}$ via monitoring and comparing the antithrombotic effects in rat artery between oral administration of Ultra nattokinase$^{(R)}$ and maltodextrin. SD rats were fed with 1.11 mg/kg of Ultra nattokinase$^{(R)}$ for 4 weeks. The effect on arterial thrombosis was then evaluated using an antithrombotic model after induction by $FeCl_3$. Detected fibrinolytic activity was proportional to the content of Ultra nattokinase$^{(R)}$ and statistical extents of the antithrombotic activity was enhanced strongly twice rather than control group. The PT and the aPTT, however, showed only a small difference between two groups. The results suggest that Ultra nattokinase$^{(R)}$ can effectively treat thromboembolism and enhance blood flow, and that Ultra nattokinase$^{(R)}$ can also prevent venous occlusion by aiding clot lysis.

• Neurospine
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• v.15 no.4
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• pp.329-337
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• 2018

Objective: Machine learning algorithms excel at leveraging big data to identify complex patterns that can be used to aid in clinical decision-making. The objective of this study is to demonstrate the performance of machine learning models in predicting postoperative complications following anterior cervical discectomy and fusion (ACDF). Methods: Artificial neural network (ANN), logistic regression (LR), support vector machine (SVM), and random forest decision tree (RF) models were trained on a multicenter data set of patients undergoing ACDF to predict surgical complications based on readily available patient data. Following training, these models were compared to the predictive capability of American Society of Anesthesiologists (ASA) physical status classification. Results: A total of 20,879 patients were identified as having undergone ACDF. Following exclusion criteria, patients were divided into 14,615 patients for training and 6,264 for testing data sets. ANN and LR consistently outperformed ASA physical status classification in predicting every complication (p < 0.05). The ANN outperformed LR in predicting venous thromboembolism, wound complication, and mortality (p < 0.05). The SVM and RF models were no better than random chance at predicting any of the postoperative complications (p < 0.05). Conclusion: ANN and LR algorithms outperform ASA physical status classification for predicting individual postoperative complications. Additionally, neural networks have greater sensitivity than LR when predicting mortality and wound complications. With the growing size of medical data, the training of machine learning on these large datasets promises to improve risk prognostication, with the ability of continuously learning making them excellent tools in complex clinical scenarios.

• Journal of Trauma and Injury
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• v.37 no.2
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• pp.124-131
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• 2024

Purpose: The aim of this study was to utilize the American College of Surgeons Trauma Quality Improvement Program (TQIP) database to identify risk factors associated with developing acute compartment syndrome (ACS) following lower extremity fractures. Specifically, a nomogram of variables was constructed in order to propose a risk calculator for ACS following lower extremity trauma. Methods: A large retrospective case-control study was conducted using the TQIP database to identify risk factors associated with developing ACS following lower extremity fractures. Multivariable regression was used to identify significant risk factors and subsequently, these variables were implemented in a nomogram to develop a predictive model for developing ACS. Results: Novel risk factors identified include venous thromboembolism prophylaxis type particularly unfractionated heparin (odds ratio [OR], 2.67; 95% confidence interval [CI], 2.33-3.05; P<0.001), blood product transfusions (blood per unit: OR 1.13 [95% CI, 1.09-1.18], P<0.001; platelets per unit: OR 1.16 [95% CI, 1.09-1.24], P<0.001; cryoprecipitate per unit: OR 1.13 [95% CI, 1.04-1.22], P=0.003). Conclusions: This study provides evidence to believe that heparin use and blood product transfusions may be additional risk factors to evaluate when considering methods of risk stratification of lower extremity ACS. We propose a risk calculator using previously elucidated risk factors, as well as the risk factors demonstrated in this study. Our nomogram-based risk calculator is a tool that will aid in screening for high-risk patients for ACS and help in clinical decision-making.