Development and Validation of a Predictive Model for Severe Hematological Toxicity in Adult Colorectal Cancer Patients Taking Chemotherapy at Tikur Anbessa Specialized Hospital
dc.contributor.advisor | Dr.Ali, Eskinder Eshetu | |
dc.contributor.author | Ayenew, Wondim | |
dc.date.accessioned | 2022-05-09T07:47:59Z | |
dc.date.accessioned | 2023-11-06T08:09:58Z | |
dc.date.available | 2022-05-09T07:47:59Z | |
dc.date.available | 2023-11-06T08:09:58Z | |
dc.date.issued | 2021-10 | |
dc.description.abstract | Background: Hematological toxicities are common in colorectal cancer patients taking chemotherapy. The development of a valid predictive model would go a long way in preventing for such toxicities. Objectives: To develop and validate a prediction model for severe hematological toxicities in adult colorectal cancer patients taking chemotherapy at Tikur Anbessa Specialized Hospital Methods: A retrospective cohort study was conducted using medical records of adult colorectal cancer patients who received chemotherapy from 2017 to 2021 at Tikur Anbessa Specialized Hospital. The model was developed using uni-variable and multivariable logistic regression analyses, and it was validated using bootstrapping. The model was developed for severe neutropenia only because of limited number of outcomes for anemia and thrombocytopenia. Discrimination and calibration were used to determine the model’s prediction accuracy. All statistical tests were two-sided and P-value < 0.05 was considered statistically significant. Results: A total of 224 colorectal cancer patients were considered for analysis. About 114 (50.9%), 25 (11.2%) and four (1.8%) patients developed severe neutropenia, anemia and thrombocytopenia respectively. Age, polychemotherapy, type of therapy, and longer duration of chemotherapy were predictors of severe neutropenia. The model had sensitivity of (71.05% versus 73.24%) and specificity of (71.82% versus 68.49%) in the derivation and validation cohorts respectively. The area under receiver operating curve was 0.7995 for the derivation and 0.7741 for the validation cohorts. Conclusions: Neutropenia was the most common hematological toxicity. The application of the developed model could help to identify high-risk patients for severe neutropenia and to institute preventive strategies before neutropenia develops. | en_US |
dc.identifier.uri | http://etd.aau.edu.et/handle/123456789/31573 | |
dc.language.iso | en_US | en_US |
dc.publisher | Addis Ababa University | en_US |
dc.subject | Chemotherapy, Colorectal Cancer, Hematological toxicity, Predictive model, Tikur Anbessa Specialized Hospital | en_US |
dc.title | Development and Validation of a Predictive Model for Severe Hematological Toxicity in Adult Colorectal Cancer Patients Taking Chemotherapy at Tikur Anbessa Specialized Hospital | en_US |
dc.type | Thesis | en_US |