Obesity -Related Frailty: A New Bariatric Frailty Score Can Be Used to Predict Postoperative Adverse Outcomes, Analysis Using The MBSAQIP-2015-2016 Database

2018 ◽  
Vol 14 (11) ◽  
pp. S24
Author(s):  
Raul Sebastian ◽  
Andrew Sparks ◽  
Gina Adrales ◽  
Alisa Coker ◽  
Thomas H Magnuson ◽  
...  
Author(s):  
Nirvik Pal ◽  
James H. Abernathy ◽  
Mark A. Taylor ◽  
Bruce A. Bollen ◽  
Ashish S. Shah ◽  
...  

2019 ◽  
Vol 58 (6) ◽  
pp. e630
Author(s):  
Prasanti Alekhya Kotta ◽  
G.K. Ambler ◽  
A. Kalyanasundaram ◽  
P.A. Coughlin

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Jingmei Li ◽  
Mikael Eriksson ◽  
Wei He ◽  
Per Hall ◽  
Kamila Czene

JTCVS Open ◽  
2021 ◽  
Author(s):  
Shreya Sarkar ◽  
Jeffrey B. MacLeod ◽  
Ansar Hassan ◽  
Daniel J. Dutton ◽  
Keith R. Brunt ◽  
...  

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e21532-e21532 ◽  
Author(s):  
Allison Magnuson ◽  
Supriya Gupta Mohile ◽  
Lianlian Lei ◽  
Nikesha Gilmore ◽  
Benjamin Esparaz ◽  
...  

e21532 Background: Frailty, a clinical syndrome of vulnerability, is associated with adverse outcomes; however, the trajectory of frailty in cancer patients is not well understood. This longitudinal analysis evaluates frailty, and related factors, over the course of chemotherapy in breast cancer patients (BCa pts) aged 50+. Methods: BCa pts aged 50+ scheduled to receive adjuvant/neoadjuvant chemotherapy (n = 376) and age matched controls without cancer (n = 234) were recruited from the University of Rochester NCI Community Oncology Research Program as part of an observational study. Frailty was assessed by a modified Fried frailty score (range 0-4) using self-reported weakness, exhaustion, physical activity, and walk speed. Cognition was assessed objectively (Controlled Oral Word Association [COWA]) and subjectively (FACT-Cog). Frailty and cognition were measured pre- and post-chemotherapy (similar time lapse for controls). Linear regression models evaluated associations between cognition and frailty, controlling for age, race, marital status, education, performance status and baseline frailty score. Results: Average age was 59 (50-64: 77%; 65-79: 23%). At baseline, the cancer group had more people aged 65+ (24% vs 20%, p = 0.002), a higher mean frailty score (1.2 vs 0.73, p < 0.001), and lower mean FACT-Cog score (158.5 vs 167.4, p < 0.001) compared to controls. In unadjusted analysis, BCa pts had greater increase in frailty and cognitive problems than controls over time (mean change frailty score: cancer 0.87 vs control 0.05; mean change FACT-Cog: cancer 12.78 vs control 1.58; mean change COWA: cancer -0.41 vs control 0.43; p < 0.001 for all). In adjusted analysis, cancer (p < 0.001) and lower baseline FACT-Cog score (p = 0.01) were associated with an increase in frailty score over time. In a separate model, a decline in subjective and objective cognition was associated with increased frailty score (COWA p = 0.03, FACT-Cog p = 0.07). Conclusions: Frailty is prevalent in BCa pts prior to chemotherapy and increases during treatment. Lower baseline cognition and decline in cognition were associated with increased frailty. Frailty and cognition are important survivorship factors for BCa pts aged 50+.


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