Risk Factors and Prognosis of Stroke in Gynecologic Cancer Patients

Author:

Kwon Ji Young12ORCID,Park Kena12,Song Jeong Min12,Pyeon Seung Yeon1ORCID,Lee Seon Hwa3,Chung Young Shin1,Lee Jong-Min1ORCID

Affiliation:

1. Department of Obstetrics and Gynecology, Kyung Hee University Hospital at Gangdong, Seoul 05278, Republic of Korea

2. Department of Medicine, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea

3. Medical Big Data Research Center, Research Institute of Clinical Medicine, Kyung Hee University Hospital at Gangdong, Seoul 05278, Republic of Korea

Abstract

Increased life expectancy and cancer prevalence rates expose patients to a higher risk of developing other comorbidities such as stroke. This study aimed to evaluate the risk factors for and prognosis of stroke in patients with gynecological cancers. A single-center retrospective cohort study was conducted on patients with cervical, endometrial, and epithelial ovarian cancers. Patients were classified into three groups based on the period of stroke onset: at least one year before cancer diagnosis, within one year before cancer diagnosis to six months after the last treatment date, and six months after the last treatment date. Among the 644 patients, stroke occurred in 54 (8.4%). In univariate analysis, stroke was significantly associated with overall survival. In contrast, in multivariate analysis, stroke was significantly associated with age and hypertension, but not with overall survival. Age, pulmonary thromboembolism/deep vein thrombosis, histological grade, and tumor stage were significantly associated with overall survival. Therefore, it is important to establish an appropriate examination and treatment plan for patients with gynecologic cancers using a multidisciplinary approach that incorporates the patient’s age, medical condition, and tumor characteristics rather than excessively considering the adverse effects of stroke on cancer prognosis.

Funder

Sudang Foundation

Publisher

MDPI AG

Subject

Cancer Research,Oncology

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