scholarly journals The Value of the Body Weight, Body Mass Index , and Nutritional Markers in Predicting Outcomes of Radiation Therapy–Treated Head and Neck Cancer

Author(s):  
J. Lee ◽  
J. Kim
2008 ◽  
Vol 118 (7) ◽  
pp. 1180-1185 ◽  
Author(s):  
Theodore R. McRackan ◽  
John M. Watkins ◽  
Amy E. Herrin ◽  
Elizabeth M. Garrett-Mayer ◽  
Anand K. Sharma ◽  
...  

2019 ◽  
Vol 188 (11) ◽  
pp. 2031-2039
Author(s):  
Patrick T Bradshaw ◽  
Jose P Zevallos ◽  
Kathy Wisniewski ◽  
Andrew F Olshan

Abstract Previous studies have suggested a “J-shaped” relationship between body mass index (BMI, calculated as weight (kg)/height (m)2) and survival among head and neck cancer (HNC) patients. However, BMI is a vague measure of body composition. To provide greater resolution, we used Bayesian sensitivity analysis, informed by external data, to model the relationship between predicted fat mass index (FMI, adipose tissue (kg)/height (m)2), lean mass index (LMI, lean tissue (kg)/height (m)2), and survival. We estimated posterior median hazard ratios and 95% credible intervals for the BMI-mortality relationship in a Bayesian framework using data from 1,180 adults in North Carolina with HNC diagnosed between 2002 and 2006. Risk factors were assessed by interview shortly after diagnosis and vital status through 2013 via the National Death Index. The relationship between BMI and all-cause mortality was convex, with a nadir at 28.6, with greater risk observed throughout the normal weight range. The sensitivity analysis indicated that this was consistent with opposing increases in risk with FMI (per unit increase, hazard ratio = 1.04 (1.00, 1.08)) and decreases with LMI (per unit increase, hazard ratio = 0.90 (0.85, 0.95)). Patterns were similar for HNC-specific mortality but associations were stronger. Measures of body composition, rather than BMI, should be considered in relation to mortality risk.


2019 ◽  
Author(s):  
Aaron J. Grossberg ◽  
Crosby D. Rock ◽  
Jared Edwards ◽  
Abdallah S.R. Mohamed ◽  
Debra Ruzensky ◽  
...  

AbstractImportanceDepleted skeletal muscle mass (sarcopenia) is associated with decreased survival and cancer control in head and neck cancer patients treated with radiotherapy. There is a need for validated measures of body composition that can be implemented in routine clinical workflow.ObjectiveTo validate the use of bioelectrical impedance analysis (BIA) for body composition analysis and diagnosis of sarcopenia in head and neck cancer patients.DesignIn this prospective observational cohort study, baseline 50 patients with head and neck cancer undergoing radiation therapy (RT) were enrolled between February 2016 and March 2017. Baseline BIA measures of skeletal muscle (SM) mass, fat-free mass (FMM), and fat mass (FM) were compared to CT-based estimates of body composition using linear regression. Sex-specific BIA-derived thresholds for sarcopenia were defined by the maximum Youden Index on receiver operator characteristic (ROC) curves of BIA against CT-defined sarcopenia. Changes in body composition across treatment were compared against changes in body weight using linear regression.ParticipantsIn total, 50 patients with pathologically confirmed stage I to IVB non-metastatic head and neck cancer treated with definitive radiation therapy were enrolled.SettingSingle academic referral center.Main Outcome and MeasureThe primary outcome was relative agreement between baseline lean body mass and fat body mass predicted from BIA measurement and CT imaging.ResultsOf the 48 evaluable patients 16 (33.3%) were sarcopenic at baseline based on CT analysis. BIA measures of body composition were strongly correlated with CT measures: SM mass (r = 0.97; R2 = 0.94; p < 0.0001), FFM (r = 0.97; R2 = 0.94; p < 0.0001) and FM (r = 0.95; R2 = 0.90; p < 0.0001). Relationship with normalized indices of SM mass, FFM, and FM was similar between BIA and CT, but not BIA and body mass index (BMI). Patients lost a mean of 5.7 ± 5.8 kg during treatment, of which 1.5 ± 1.9 kg was SM, 2.6 ± 3.3 kg was FFM, and 2.2 ± 2.6 kg was FM. Eight additional patients developed sarcopenia by the end of RT.ConclusionsBIA provides accurate estimates of body composition in head and neck cancer patients. Implementation of BIA in clinical practice may identify patients with sarcopenia.Trial RegistrationClinicalTrials.gov identifier: NCT02615275


2012 ◽  
Vol 21 (3) ◽  
pp. 497-503 ◽  
Author(s):  
Mia M. Gaudet ◽  
Alpa V. Patel ◽  
Juzhong Sun ◽  
Janet S. Hildebrand ◽  
Marjorie L. McCullough ◽  
...  

2018 ◽  
Vol 4 (Supplement 1) ◽  
pp. 24s-24s
Author(s):  
Renata Abrahao ◽  
Sandra Perdomo ◽  
Luis Kowalski ◽  
Marta Vilensky ◽  
Jose Carlos Oliveira ◽  
...  

Abstract 65 Purpose Incidence of head and neck cancer (HNC) is high in South America, and survival data are scarce in this region. The InterCHANGE study was established by clinical groups from across South America and the International Agency for Research on Cancer, with the primary aim to study the impact of human papillomavirus (HPV) infection and sociodemographic, clinic, and lifestyle factors on survival after this malignancy. The current study examined the main predictors of survival after HNC in South America and estimated overall and conditional survival probabilities. Methods Patients were recruited during 2010 to 2016 from seven centers in Argentina, Brazil, Colombia, and Uruguay. A questionnaire obtained information on age, stage, and body mass index at diagnosis; sex; education; race; and comprehensive smoking and alcohol history. Blood samples were collected for HPV16 E6 testing—a surrogate marker for HPV16 infection. The Kaplan-Meier method and Cox proportional hazards regression were used for statistical analyses. Results Of 1,314 patients, 348 had oropharynx cancer and 966 nonoropharynx cancer (larynx, n = 381; hypopharynx, n = 75; and oral cavity, n = 510). All cases were confirmed by histology or cytology. Most patients were male (81%), of white race (64%), ever smokers (85%), ever drinkers (82%), had a median age at diagnosis of 60 years, and only a basic education (54%). The majority of patients (66%) was diagnosed with stage IV disease, ranging from 53% for larynx to 83% for oropharynx disease. Median follow-up time for patients who died or survived was 0.9 years of 2.3 years, respectively. By October 31, 2017, 628 patients (48%) had died. Three-year overall survival was 53% for larynx, 47% for oral cavity, 40% for oropharynx, and 36% for hypopharynx disease. Main predictors of worse survival were late stage at diagnosis, older age, and underweight (body mass index < 18.5kg/m2) at diagnosis, with some variation according to tumor site. In a subset analysis of 156 patients with oropharynx cancer with available HPV16 E6 serology, those who were negative for HPV16 E6 had significantly lower 3-year survival (27% v 73%), and a corresponding 3.5 times higher mortality rate (adjusted hazard ratio, 3.5; CI, 1.2 to 10.6) than those who were positive for HPV16 E6. Conclusion Most patients presented with strikingly advanced disease, and stage at diagnosis was an important predictor of survival. The reasons for late diagnosis are unclear, and efforts to improve survival will largely depend on efforts to diagnose HNC at an early stage. Patients with HPV-related versus HPV-unrelated oropharynx cancer had better survival, which supports previous results from Europe and North America. AUTHORS' DISCLOSURES OF POTENTIAL CONFLICTS OF INTEREST No COIs from the authors.


2014 ◽  
Vol 22 (9) ◽  
pp. 2361-2369 ◽  
Author(s):  
Sandra Ottosson ◽  
Ulrika Lindblom ◽  
Peter Wahlberg ◽  
Per Nilsson ◽  
Elisabeth Kjellén ◽  
...  

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