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Cardiovascular Mortality in Ovarian Cancer Patients: An Analysis of Patient Characteristics Using the SEER Database
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 Metho...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10456264/ https://www.ncbi.nlm.nih.gov/pubmed/37629766 http://dx.doi.org/10.3390/medicina59081476 |
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author | Al-Badawi, Ismail Abdulrahman Alomar, Osama Alsehaimi, Saud Owaimer Jamjoom, Mohammed Ziad Abdulmalik, Nadia Ahmed Bukhari, Ibtihal Abdulaziz Alyousef, Abdullah Alabdrabalamir, Safa Baradwan, Saeed Sayasneh, Ahmad Alqarni, Saad M. S. Abu-Zaid, Ahmed |
author_facet | Al-Badawi, Ismail Abdulrahman Alomar, Osama Alsehaimi, Saud Owaimer Jamjoom, Mohammed Ziad Abdulmalik, Nadia Ahmed Bukhari, Ibtihal Abdulaziz Alyousef, Abdullah Alabdrabalamir, Safa Baradwan, Saeed Sayasneh, Ahmad Alqarni, Saad M. S. Abu-Zaid, Ahmed |
author_sort | Al-Badawi, Ismail Abdulrahman |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10456264 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104562642023-08-26 Cardiovascular Mortality in Ovarian Cancer Patients: An Analysis of Patient Characteristics Using the SEER Database Al-Badawi, Ismail Abdulrahman Alomar, Osama Alsehaimi, Saud Owaimer Jamjoom, Mohammed Ziad Abdulmalik, Nadia Ahmed Bukhari, Ibtihal Abdulaziz Alyousef, Abdullah Alabdrabalamir, Safa Baradwan, Saeed Sayasneh, Ahmad Alqarni, Saad M. S. Abu-Zaid, Ahmed Medicina (Kaunas) Article 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. MDPI 2023-08-17 /pmc/articles/PMC10456264/ /pubmed/37629766 http://dx.doi.org/10.3390/medicina59081476 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Al-Badawi, Ismail Abdulrahman Alomar, Osama Alsehaimi, Saud Owaimer Jamjoom, Mohammed Ziad Abdulmalik, Nadia Ahmed Bukhari, Ibtihal Abdulaziz Alyousef, Abdullah Alabdrabalamir, Safa Baradwan, Saeed Sayasneh, Ahmad Alqarni, Saad M. S. Abu-Zaid, Ahmed Cardiovascular Mortality in Ovarian Cancer Patients: An Analysis of Patient Characteristics Using the SEER Database |
title | Cardiovascular Mortality in Ovarian Cancer Patients: An Analysis of Patient Characteristics Using the SEER Database |
title_full | Cardiovascular Mortality in Ovarian Cancer Patients: An Analysis of Patient Characteristics Using the SEER Database |
title_fullStr | Cardiovascular Mortality in Ovarian Cancer Patients: An Analysis of Patient Characteristics Using the SEER Database |
title_full_unstemmed | Cardiovascular Mortality in Ovarian Cancer Patients: An Analysis of Patient Characteristics Using the SEER Database |
title_short | Cardiovascular Mortality in Ovarian Cancer Patients: An Analysis of Patient Characteristics Using the SEER Database |
title_sort | cardiovascular mortality in ovarian cancer patients: an analysis of patient characteristics using the seer database |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10456264/ https://www.ncbi.nlm.nih.gov/pubmed/37629766 http://dx.doi.org/10.3390/medicina59081476 |
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