Dataset Information

Predicting VTE in Cancer Patients: Candidate Biomarkers and Risk Assessment Models.

ABSTRACT: Risk prediction of chemotherapy-associated venous thromboembolism (VTE) is a compelling challenge in contemporary oncology, as VTE may result in treatment delays, impaired quality of life, and increased mortality. Current guidelines do not recommend thromboprophylaxis for primary prevention, but assessment of the patient's individual risk of VTE prior to chemotherapy is generally advocated. In recent years, efforts have been devoted to building accurate predictive tools for VTE risk assessment in cancer patients. This review focuses on candidate biomarkers and prediction models currently under investigation, considering their advantages and disadvantages, and discussing their diagnostic performance and potential pitfalls.

SUBMITTER: Riondino S

PROVIDER: S-EPMC6356247 | biostudies-other | 2019 Jan

REPOSITORIES: biostudies-other

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Predicting VTE in Cancer Patients: Candidate Biomarkers and Risk Assessment Models.

Riondino Silvia S Ferroni Patrizia P Zanzotto Fabio Massimo FM Roselli Mario M Guadagni Fiorella F

Cancers 20190115 1

Risk prediction of chemotherapy-associated venous thromboembolism (VTE) is a compelling challenge in contemporary oncology, as VTE may result in treatment delays, impaired quality of life, and increased mortality. Current guidelines do not recommend thromboprophylaxis for primary prevention, but assessment of the patient's individual risk of VTE prior to chemotherapy is generally advocated. In recent years, efforts have been devoted to building accurate predictive tools for VTE risk assessment i ...[more]

PMID: 30650562

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Project description:PurposeThe Gail model is one of the most widely used tools to assess the risk of breast cancer. However, it is known to overestimate breast cancer risk for Asian women. Here, we validate the Gail model and the Korean model using Korean data, and subsequently update and revalidate the Korean model using recent data.MethodsWe validated the modified Gail model (model 2), Asian American Gail model, and a previous Korean model using screening patient data collected between January 1999 and July 2004. The occurrence of breast cancer was confirmed by matching the resident registration number with data from the Korean Breast Cancer Registration Program. The expected-to-observed (E/O) ratio was used to validate the reliability of the program, and receiver operating characteristics curve analysis was used to evaluate the program's discriminatory power. There has been a rapid increase in the incidence of breast cancer in Korea, and we updated and revalidated the Korean model using incidence and mortality rate data from recent years.ResultsAmong 40,229 patients who were included in the validation, 161 patients were confirmed to have developed breast cancer within 5 years of screening. The E/O ratios and 95% confidence intervals (CI) were 2.46 (2.10-2.87) for the modified Gail model and 1.29 (1.11-1.51) for the Asian American Gail model. The E/O ratio and 95% CI for the Korean model was 0.50 (0.43-0.59). For the updated Korean model, the E/O ratio and 95% CI were 0.85 (0.73-1.00). In the discriminatory power, the area under curve and 95% CI of the modified Gail model, Asian American Gail model, Korean model and updated Korean model were 0.547 (0.500-0.594), 0.543 (0.495-0.590), 0.509 (0.463-0.556), and 0.558 (0.511-0.605), respectively.ConclusionThe updated Korean model shows a better performance than the other three models. It is hoped that this study can provide the basis for a clinical risk assessment program and a future prospective study of breast cancer prevention.

Project description:Cardiology wards are generally high turnover units, which may receive primary PCI, high-risk NSTEMI patients, and other general cardiac admissions from a large geographical area. Many centres also provide national specialist services for rarer cardiac conditions for which admissions may be lengthy. Cardiac patients have significant risk factors for venous thromboembolism (VTE) as immobility may be due to systolic dysfunction, attachment to continuous monitoring and predisposition to chest pain, or cardiac syncope. It is recommended by NICE that an initial VTE risk assessment is undertaken at the time of patient admission, with reassessment within 24 hours. For this purpose a risk assessment tool is featured on the front of many Trust drug charts. It is noted that this risk assessment is electronic in other trusts. We undertook an audit into the drug chart documentation of VTE risk assessment on the cardiology ward and the Coronary Care Unit (CCU) at The Royal Free Hospital. It was evident that documentation of VTE risk assessment was poor. The audit interventions were; a teaching presentation to the cardiology department, an educational poster, several update emails to the department and the identification of a 'VTE risk assessment champion' to audit ongoing compliance. Following these measures the second audit round demonstrated that documentation of initial risk assessment was slightly improved, but significant improvement was seen in documentation of risk assessment at 24 hours post admission. Results from a third audit cycle indicated that the improvement in initial VTE risk assessment was sustained, and that there was a significant sustained improvement in risk assessment at 24 hours (p <0.05). Recommendations for sustained improvement included: redesigning the drug chart so that the VTE risk assessment tool was linked to the VTE prophylaxis prescription box, and designating the responsibility of the initial VTE risk assessment to the on call junior doctor who receives admissions on to the ward.

Dataset Information

Predicting VTE in Cancer Patients: Candidate Biomarkers and Risk Assessment Models.

Publications

Predicting VTE in Cancer Patients: Candidate Biomarkers and Risk Assessment Models.

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