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Functional not chronologic age: Frailty index predicts outcomes in advanced ovarian cancer

医学 虚弱指数 卵巢癌 内科学 索引(排版) 老年学 肿瘤科 癌症 万维网 计算机科学
作者
Amanika Kumar,Carrie Langstraat,Stephanie R. DeJong,Michaela E. McGree,Jamie N. Bakkum‐Gamez,Amy L. Weaver,Nathan K. LeBrasseur,William A. Cliby
出处
期刊:Gynecologic Oncology [Elsevier]
卷期号:147 (1): 104-109 被引量:113
标识
DOI:10.1016/j.ygyno.2017.07.126
摘要

Abstract Objectives To assess the impact of frailty as measured by a frailty deficit index (FI) on outcomes in advanced epithelial ovarian cancer (EOC) after primary debulking surgery (PDS). Methods Women with Stage IIIC/IV EOC who underwent PDS between 1/1/2003–12/31/2011 were included. Medical records were reviewed for patient characteristics and outcomes. The FI includes 30 items scored at 0, 0.5 or 1 and is calculated by summing across all the item scores and dividing by the total. Frailty was defined as a FI ≥0.15. Associations were assessed using logistic regression and Cox proportional hazards regression. Results Of the 535 studied, 78% had stage IIIC disease and mean (SD) age was 64.3 (11.3) years. Median FI was 0.08, and 131 patients (24.5%) were considered frail with FI ≥0.15. Compared to non-frail patients, frail patients were more likely to have an Accordion grade 3+ complication (28.2 vs. 18.8%; odds ratio (OR): 1.70, 95% CI: 1.08–2.68) and more likely to die within 90days of surgery (16.0 vs. 5.2%; OR: 3.48, 95% CI: 1.83–6.61). After adjusting for known risk factors, these associations remained significant, adjusted OR (aOR): 1.62, 95% CI: 1.00–2.62; aOR: 2.60, 95% CI 1.32–5.10; and aOR: 0.57, 95% CI 0.34–0.97, respectively. Overall survival (OS) for the entire cohort was 39.6months (m). OS was shorter in the frail versus non-frail (median 26.5 vs 44.9m, p Conclusions Frailty is a common finding in patients with EOC and is independently associated with worse surgical outcomes and poorer OS. Routine assessments of frailty can be incorporated into patient counseling and decision-making for the EOC patient beyond simple reliance on single factors such as age.
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