Abstract
Purpose: To evaluate the potential influence of clinical characteristics on survival of patients with advanced-stage of ovarian malignancies. Methods: The study included 163 women with FIGO stages 3 and 4 ovarian malignancies. Detailed history (family history of malignancies, age, menopausal status, body mass index (BMI), parity, comorbidities, symptoms/signs) was taken from all patients including tumor histopathological findings. Patients were postoperatively followed up to 5 years and adverse events were recorded. Univariate and multivariate survival analyses were applied. Results: Patient median survival was 22.77 months (range 1-91). Almost 74% of women survived in the first postoperative year, but only 12.9% had 5-year survival. In the postoperative period, each additional 6 months presented significant risk for unfavorable outcome. Women who were menopausal (p=0.033) and especially if older than 65 years (p=0.016) had worse prognosis. Patients with BMI ?25 kg/ m 2 had significantly longer postoperative survival (p=0.005; obesity hazard ratio/HR=1.525). Women with other gynecological or chronic illnesses had a significantly shorter postoperative survival (p=0.038; hazard ratio/HR=1.450). There were no significant differences in postoperative survival regarding patients’ parity, presence of symptoms or positive family history. Two significant models adjusted for FIGO stage (p=0.046) and histological tumor type (p=0.003) encompassing all assessed patient characteristics that could influence survival were obtained. Conclusions: The most important clinical characteristics that can be predictors of survival of patients with advanced ovarian malignancies are comorbidities and being overweight.
Original language | English |
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Pages (from-to) | 966-972 |
Number of pages | 7 |
Journal | Journal of B.U.ON. |
Volume | 22 |
Issue number | 4 |
Publication status | Published - Jul 1 2017 |
Keywords
- Advanced stage ovarian carcinoma
- Age
- BMI
- Comorbidities
- History
- Survival
ASJC Scopus subject areas
- Hematology
- Oncology
- Radiology Nuclear Medicine and imaging
- Cancer Research