首页|Central South University Reports Findings in Thrombosis (Construction and valida tion of a nomogram prediction model for the catheter-related thrombosis risk of central venous access devices in patients with cancer: a prospective machine ... )
Central South University Reports Findings in Thrombosis (Construction and valida tion of a nomogram prediction model for the catheter-related thrombosis risk of central venous access devices in patients with cancer: a prospective machine ... )
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Cardiovascular Disease s and Conditions - Thrombosis is the subject of a report. According to news repo rting from Hunan, People’s Republic of China, by NewsRx journalists, research st ated, “Central venous access devices (CVADs) are integral to cancer treatment. H owever, catheter-related thrombosis (CRT) poses a considerable risk to patient s afety.” The news correspondents obtained a quote from the research from Central South Un iversity, “It interrupts treatment; delays therapy; prolongs hospitalisation; an d increases the physical, psychological and financial burden of patients. Our st udy aims to construct and validate a predictive model for CRT risk in patients w ith cancer. It offers the possibility to identify independent risk factors for C RT and prevent CRT in patients with cancer. We prospectively followed patients w ith cancer and CVAD at Xiangya Hospital of Central South University from January 2021 to December 2022 until catheter removal. Patients with CRT who met the cri teria were taken as the case group. Two patients with cancer but without CRT dia gnosed in the same month that a patient with cancer and CRT was diagnosed were s elected by using a random number table to form a control group. Data from patien ts with CVAD placement in Qinghai University Affiliated Hospital and Hainan Prov incial People’s Hospital (January 2023 to June 2023) were used for the external validation of the optimal model. The incidence rate of CRT in patients with canc er was 5.02% (539/10 736). Amongst different malignant tumour type s, head and neck (9.66%), haematological (6.97%) and r espiratory (6.58%) tumours had the highest risks. Amongst catheter types, haemodialysis (13.91%), central venous (8.39%) and peripherally inserted central (4.68%) catheters were associated with the highest risks. A total of 500 patients with CRT and 1000 without CRT p articipated in model construction and were randomly assigned to the training (n = 1050) or testing (n = 450) groups. We identified 11 independent risk factors, including age, catheterisation method, catheter valve, catheter material, infect ion, insertion history, D-dimer concentration, operation history, anaemia, diabe tes and targeted drugs. The logistic regression model had the best discriminativ e ability amongst the three models. It had an area under the curve (AUC) of 0.86 8 (0.846-0.890) for the training group. The external validation AUC was 0.708 (0 .618-0.797). The calibration curve of the nomogram model was consistent with the ideal curve. Moreover, the Hosmer-Lemeshow test showed a good fit (P > 0.05) and high net benefit value for the clinical decision curve. The nomogram model constructed in this study can predict the risk of CRT in patients with can cer.”
HunanPeople’s Republic of ChinaAsiaAngiologyCancerCardiovascular Diseases and ConditionsCentral Venous Acces sCyborgsEmbolism and ThrombosisEmerging TechnologiesHealth and MedicineHematologyHospitalsMachine LearningOncologyRisk and PreventionThrombo sisVascular Diseases and Conditions
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