Related Experiment Video
Updated: Jul 18, 2025

Characterization and Functional Prediction of Bacteria in Ovarian Tissues
Published on: October 23, 2021
Cardiovascular Mortality in Ovarian Cancer Patients: An Analysis of Patient Characteristics Using the SEER Database
Ismail Abdulrahman Al-Badawi1, Osama Alomar1, Saud Owaimer Alsehaimi1
1Department of Obstetrics and Gynecology, King Faisal Specialist Hospital and Research Center, Riyadh 11564, Saudi Arabia.
Insights
Cardiovascular disease (CVD) is a significant concern for ovarian cancer patients. Advanced stage, older age, and non-white race increase CVD risk, highlighting the need for targeted interventions to improve survival.
Area of Science:
- Oncology
- Cardiology
- Epidemiology
Background:
- Cardiovascular disease (CVD) significantly contributes to mortality in ovarian cancer patients.
- Limited understanding exists regarding patient-specific risk factors for CVD in this population.
Purpose of the Study:
- To identify patient characteristics associated with cardiovascular mortality in individuals diagnosed with ovarian cancer.
- To inform targeted interventions for improving survival rates.
Main Methods:
- Retrospective cohort study utilizing the SEER database (2000-2019).
- Analysis of primary ovarian cancer cases.
- Multivariable logistic regression to identify risk factors for cardiovascular death.
Main Results:
- Poorly differentiated cancer and distant metastasis correlated with higher CVD mortality.
- Age over 60, later diagnosis year, non-white race, bilateral disease, and distant stage were significant risk factors.
- Patients aged 31-60 had lower CVD mortality risk compared to older patients.
Conclusions:
- Cardiovascular mortality is a critical issue in ovarian cancer management.
- Identifying high-risk patients (e.g., advanced stage, comorbidities) enables targeted cardiovascular health interventions.
- Improving cardiovascular health in ovarian cancer patients may enhance overall survival.
Abstract:
Background and Objectives: Cardiovascular disease (CVD) is a major contributor to the high mortality rate among individuals with ovarian cancer. Nevertheless, there is limited understanding regarding the specific patient attributes that might impact the risk of CVD in this group. Materials and Methods: A retrospective cohort study was performed using the SEER database to analyze primary ovarian cancer cases from 2000 to 2019. Multivariable logistic regression analysis was employed to identify patient characteristics linked to cardiovascular mortality. Results: The cohort included 41,930 cases of patients who were alive, 54,829 cases of cancer-related deaths, 3003 cases of cardiovascular-related deaths, and 10,238 cases with other causes of death. Poorly differentiated cancer cells and distant metastasis were associated with a higher risk of cardiovascular mortality. Logistic regression analysis identified age, year of diagnosis, race, laterality, and staging as significant risk factors for cardiovascular cause of death. The risk of cardiovascular cause of death was lower in patients aged 31-60 and higher in those aged over 60 years old, and the risk also increased with a later year of diagnosis. Patients who were not white were at a higher risk of cardiovascular cause of death. Additionally, bilateral ovarian cancer and distant staging disease were linked to elevated risks of cardiovascular cause of death. Conclusion: Cardiovascular mortality is a significant concern in ovarian cancer patients, and several patient characteristics are associated with an increased risk. Our study suggests that targeted interventions to improve cardiovascular health in high-risk patients, such as those with comorbidities or an advanced stage at diagnosis, may improve survival in this population.
More Related Videos
09:08Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer
Published on: January 12, 2020
06:46Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
Related Concept Videos
Cancer Survival Analysis
Comparing the Survival Analysis of Two or More Groups
Kaplan-Meier Approach