Predictors of early mortality risk in patients with epithelial ovarian cancer
Abstract Background To improve the overall survival of epithelial ovarian cancer (EOC) patients, a more precise risk identification after completion of standard treatment will enhance patients' follow‐up surveillance and the use of individualized targeted therapy. Aim This study explored the po...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-07-01
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| Series: | Health Science Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/hsr2.717 |
| _version_ | 1798042243416719360 |
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| author | Kehinde S. Okunade Sarah John‐Olabode Ephraim O. Ohazurike Adaiah Soibi‐Harry Benedetto Osunwusi Rose I. Anorlu |
| author_facet | Kehinde S. Okunade Sarah John‐Olabode Ephraim O. Ohazurike Adaiah Soibi‐Harry Benedetto Osunwusi Rose I. Anorlu |
| author_sort | Kehinde S. Okunade |
| collection | DOAJ |
| description | Abstract Background To improve the overall survival of epithelial ovarian cancer (EOC) patients, a more precise risk identification after completion of standard treatment will enhance patients' follow‐up surveillance and the use of individualized targeted therapy. Aim This study explored the potential risk predictors of early mortality in EOC patients who had standard treatment with debulking surgery and chemotherapy. Methods The study included 93 EOC patients who had standard treatment and were followed up between January 2011 and December 2020. The sociodemographic, clinical, and laboratory data of patients with EOC including the update on their 3‐year follow‐up status were retrospectively collected and analyzed. Early mortality is defined as the death of a patient within 3 years of completion of standard treatment. Patients' data were computed using descriptive statistics and the associations between patients' factors and the risk of early mortality were tested using the binary logistic regression model. Results Early deaths occurred in 36 (38.7%) of patients with EOC. In the final multivariate analyses, early tumor relapse within 6‐months of treatment completion was the only independent risk factor that predicts early mortality in EOC patients (risk ratio = 8.6, 95% confidence interval: 3.3–24.5, p < 0.01). Conclusion Our study suggests that early tumor relapse may be a useful surrogate of early mortality in EOC. However, our findings should be interpreted with caution pending further corroboration through an adequately powered, prospective multicenter study. |
| first_indexed | 2024-04-11T22:33:53Z |
| format | Article |
| id | doaj.art-4cef7fe0ff4c4b4ba3b9e83992403257 |
| institution | Directory Open Access Journal |
| issn | 2398-8835 |
| language | English |
| last_indexed | 2024-04-11T22:33:53Z |
| publishDate | 2022-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | Health Science Reports |
| spelling | doaj.art-4cef7fe0ff4c4b4ba3b9e839924032572022-12-22T03:59:17ZengWileyHealth Science Reports2398-88352022-07-0154n/an/a10.1002/hsr2.717Predictors of early mortality risk in patients with epithelial ovarian cancerKehinde S. Okunade0Sarah John‐Olabode1Ephraim O. Ohazurike2Adaiah Soibi‐Harry3Benedetto Osunwusi4Rose I. Anorlu5Oncology and Pathological Studies (OPS) Unit, Department of Obstetrics and Gynaecology University of Lagos College of Medicine Lagos NigeriaDepartment of Haematology and Blood Transfusion University of Lagos College of Medicine Lagos NigeriaDepartment of Obstetrics and Gynaecology Lagos University Teaching Hospital Lagos NigeriaDepartment of Obstetrics and Gynaecology Lagos University Teaching Hospital Lagos NigeriaDepartment of Obstetrics and Gynaecology Lagos University Teaching Hospital Lagos NigeriaOncology and Pathological Studies (OPS) Unit, Department of Obstetrics and Gynaecology University of Lagos College of Medicine Lagos NigeriaAbstract Background To improve the overall survival of epithelial ovarian cancer (EOC) patients, a more precise risk identification after completion of standard treatment will enhance patients' follow‐up surveillance and the use of individualized targeted therapy. Aim This study explored the potential risk predictors of early mortality in EOC patients who had standard treatment with debulking surgery and chemotherapy. Methods The study included 93 EOC patients who had standard treatment and were followed up between January 2011 and December 2020. The sociodemographic, clinical, and laboratory data of patients with EOC including the update on their 3‐year follow‐up status were retrospectively collected and analyzed. Early mortality is defined as the death of a patient within 3 years of completion of standard treatment. Patients' data were computed using descriptive statistics and the associations between patients' factors and the risk of early mortality were tested using the binary logistic regression model. Results Early deaths occurred in 36 (38.7%) of patients with EOC. In the final multivariate analyses, early tumor relapse within 6‐months of treatment completion was the only independent risk factor that predicts early mortality in EOC patients (risk ratio = 8.6, 95% confidence interval: 3.3–24.5, p < 0.01). Conclusion Our study suggests that early tumor relapse may be a useful surrogate of early mortality in EOC. However, our findings should be interpreted with caution pending further corroboration through an adequately powered, prospective multicenter study.https://doi.org/10.1002/hsr2.717early deathepithelial ovarian cancermortalityoverall survivaltumor relapse |
| spellingShingle | Kehinde S. Okunade Sarah John‐Olabode Ephraim O. Ohazurike Adaiah Soibi‐Harry Benedetto Osunwusi Rose I. Anorlu Predictors of early mortality risk in patients with epithelial ovarian cancer Health Science Reports early death epithelial ovarian cancer mortality overall survival tumor relapse |
| title | Predictors of early mortality risk in patients with epithelial ovarian cancer |
| title_full | Predictors of early mortality risk in patients with epithelial ovarian cancer |
| title_fullStr | Predictors of early mortality risk in patients with epithelial ovarian cancer |
| title_full_unstemmed | Predictors of early mortality risk in patients with epithelial ovarian cancer |
| title_short | Predictors of early mortality risk in patients with epithelial ovarian cancer |
| title_sort | predictors of early mortality risk in patients with epithelial ovarian cancer |
| topic | early death epithelial ovarian cancer mortality overall survival tumor relapse |
| url | https://doi.org/10.1002/hsr2.717 |
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