Quantifying the severity of sarcopenia in patients with cancer of the head and neck.

BACKGROUND & AIMS: Existing skeletal muscle index (SMI) thresholds for sarcopenia are inconsistent, and do not reflect severity of depletion. In this study we aimed to define criterion values for moderate and severe skeletal muscle depletion based on the risk of mortality in a population of patients with head and neck cancer (HNC). Additionally, we aimed to identify clinical and demographic predictors of skeletal muscle depletion, evaluate the survival impact of skeletal muscle depletion in patients with minimal nutritional risk or good performance status, and finally, benchmarking SMI values of patients with HNC against healthy young adults. METHODS: Population cohort of 1231 consecutive patients and external validation cohorts with HNC had lumbar SMI measured by cross-sectional imaging. Optimal stratification determined sex-specific thresholds for 2-levels of SMI depletion (Class I and II) based on overall survival (OS). Adjusted multivariable regression analyses (tumor site, stage, performance status, age, sex, dietary intake, weight loss) determined relationships between 2-levels of SMI depletion and OS. RESULTS: Mean SMI (cm2/m2) was 51.7 ± 9.9 (males) and 39.8 ± 7.1 (females). The overall and sex-specific population demonstrated an increased risk of mortality associated with decreasing SMI. Sex-specific SMI (cm2/m2) depletion thresholds for 2-levels of muscle depletion determined by optimal stratification for males and females, respectively (male: 45.2-37.5, and <37.5; female: 40.9-34.2, and <34.2). In the overall population, Normal SMI, Class I and II SMI depletion occurred in 65.0%, 24.0%, and 11.0%, respectively. Median OS was: Normal SMI (114 months, 95% CI, 97.1-130.8); Class I SMI Depletion (42 months, 95% CI, 28.5-55.4), and Class II SMI Depletion (15 months, 95% CI, 9.8-20.1). Adjusted multivariable analysis compared with Normal SMI (reference), Class I SMI Depletion (HR, 1.49; 95% CI, 1.18-1.88; P < .001), Class II SMI Depletion (HR, 1.91; 95% CI, 1.42-2.58; P < .001). CONCLUSIONS: Moderate and severe SMI depletion demonstrate discrimination in OS in patients with HNC. Moderate and severe SMI depletion is prevalent in patients with minimal nutrition risk and good performance status. Benchmarking SMI values against healthy young adults exemplifies the magnitude of SMI depletion in patients with HNC and may be a useful method in standardizing SMI assessment.

Diagnostic criteria for cancer cachexia: reduced food intake and inflammation predict weight loss and survival in an international, multi-cohort analysis.

BACKGROUND: Cancer-associated weight loss (WL) associates with increased mortality. International consensus suggests that WL is driven by a variable combination of reduced food intake and/or altered metabolism, the latter often represented by the inflammatory biomarker C-reactive protein (CRP). We aggregated data from Canadian and European research studies to evaluate the associations of reduced food intake and CRP with cancer-associated WL (primary endpoint) and overall survival (OS, secondary endpoint). METHODS: The data set included a total of 12,253 patients at risk for cancer-associated WL. Patient-reported WL history (% in 6 months) and food intake (normal, moderately, or severely reduced) were measured in all patients; CRP (mg/L) and OS were measured in N = 4960 and N = 9952 patients, respectively. All measures were from a baseline assessment. Clinical variables potentially associated with WL and overall survival (OS) including age, sex, cancer diagnosis, disease stage, and performance status were evaluated using multinomial logistic regression MLR and Cox proportional hazards models, respectively. RESULTS: Patients had a mean weight change of -7.3% (±7.1), which was categorized as: ±2.4% (stable weight; 30.4%), 2.5-5.9% (19.7%), 6.0-10.0% (23.2%), 11.0-14.9% (12.0%), ≥15.0% (14.6%). Normal food intake, moderately, and severely reduced food intake occurred in 37.9%, 42.8%, and 19.4%, respectively. In MLR, severe WL (≥15%) (vs. stable weight) was more likely (P < 0.0001) if food intake was moderately [OR 6.28, 95% confidence interval (CI 5.28-7.47)] or severely reduced [OR 18.98 (95% CI 15.30-23.56)]. In subset analysis, adjusted for food intake, CRP was independently associated (P < 0.0001) with ≥15% WL [CRP 10-100 mg/L: OR 2.00, (95% CI 1.58-2.53)] and [CRP > 100 mg/L: OR 2.30 (95% CI 1.62-3.26)]. Diagnosis, stage, and performance status, but not age or sex, were significantly associated with WL. Median OS was 9.9 months (95% CI 9.5-10.3), with median follow-up of 39.7 months (95% CI 38.8-40.6). Moderately and severely reduced food intake and CRP independently predicted OS (P < 0.0001). CONCLUSIONS: Modelling WL as the dependent variable is an approach that can help to identify clinical features and biomarkers associated with WL. Here, we identify criterion values for food intake impairment and CRP that may improve the diagnosis and classification of cancer-associated cachexia.

Dentition, nutritional status and adequacy of dietary intake in treatment naïve head and neck cancer patients.

OBJECTIVES: To examine the relationship of reduced numbers of occluding teeth and dietary intake (DI), nutrition impact symptoms (NIS), and weight loss (WL) in head and neck cancer (HNC) patients. METHODS: As a part of the standard of care, treatment-naïve HNC patients (n = 104) completed dental evaluation (number of teeth, total anterior/posterior occlusal teeth, Eichner Index (EI) classification), WL, DI questionnaire and HNC Symptom Checklist©. Descriptive statistics (Kruskal-Wallis, Fisher-exact, χ2 tests) and (uni-) multi-variable logistic regression. RESULTS: Overall, 42, 45 and 13% of patients were in EI-class A, B and C with a median of 8, 3, and 0 total posterior occlusal teeth. EI-class B/C patients were older, more likely to have impaired DI (OR = 3.88; 95%CI:1.63-9.26; P = 0.002) and reported interference with DI by 11 NIS (p < 0.05). DI was, however, reported as unimpaired in 77, 49 and 39% of patients in EI-class A, B and C, respectively. The subset of EI-class B/C patients with impaired DI, had more NIS interference with DI (P < 0.05; difficulty chewing, pain, early satiety, lack of energy); EI-class C patients additionally had dry mouth, thick saliva and dysphagia (P < 0.05). In logistic regression, EI-classes B/C patients with reduced (vs unimpaired) DI were more likely to have ≥5% WL (OR = 10.1; 95%CI:2.0-50.0), higher NIS interference (range OR 4.3-10.7). CONCLUSIONS: More than half of these HNC patients had reduced numbers of occlusal teeth or were edentulous. EI-class B/C patients did not necessarily have impaired DI, however the combination of EI-class B/C and a constellation of NIS, associated with reduced DI. CLINICAL SIGNIFICANCE: Treatment naïve head and neck cancer (HNC) patients with reduced occlusal and masticatory performance (Eichner Index B/C) and reduced dietary intake are at high risk for weight loss. Identifying HNC patients at risk may improve their oral health, dietary intake and reduce their risk of weight loss.

Prevalence and prognostic significance of malnutrition in patients with cancers of the head and neck.

BACKGROUND & AIMS: Head and neck cancer (HNC) are at high nutritional risk; however the prevalence and severity of malnutrition in contemporary patients with HNC are unclear. Diagnostic criteria for cancer-associated weight loss grading (WLG) (Grades 0 to 4) [1] have been validated and are recommended in oncology nutrition clinical practice guidelines [2-3]. The aim was to determine the prevalence using WLG in HNC patients and determine the extent to which reduced dietary intake (DI) explained variation of WLG. METHODS: A population-based cohort of HNC patients (N = 1756) in northern Alberta, Canada included consecutive new patients, 2004-2016. At referral to the regional cancer center weight history and DI categories were collected. Multinomial logistic regression (MLR) identified predictors of weight loss (WL) severity. Overall survival (OS) in relation to WL Grade and DI was determined by multivariable Cox proportional hazard. RESULTS: WL was absent in 42.9% and the remainder had Grade 1 (18%), Grade 2 (14.7%), Grade 3 (15.9%) and Grade 4 (8.5%) WL. Independent predictors of WLG in adjusted MLR model, included stage (P < 0.000), performance status (PS) (P < 0.000) and DI categories (P < 0.000); sex, age and disease site were not significant. Compared to "normal food in normal amount" adjusted Odds Ratio for WL Grade 4 was 4.0 (2.1-7.5) "normal food, but less than normal amount"; 25.2 (10.7-59.1) "little solid food"; 51.8 (10.5-255.3) "very little of anything"; 42.4 (11.0-163.0) "only liquids"; 25.9 (7.1-94.3) "only nutritional supplements". In the Cox model controlled for age, sex, cancer stage and site and PS, both WLG ((P < 0.000) and DI categories (P = 0.003) independently predicted OS. CONCLUSION: Data from this population cohort provide a benchmark for prevalence of cancer associated WL severity at diagnosis. Patient reported DI categories are strong predictors of WL and prognostic for OS.

Meeting Minimum ESPEN Energy Recommendations Is Not Enough to Maintain Muscle Mass in Head and Neck Cancer Patients.

The relationship between dietary intake and body composition changes during cancer treatment has not been well characterized. The aim of this study was to compare dietary intake at diagnosis and end of treatment in relation to changes in muscle mass and adiposity in head and neck cancer (HNC) patients. Dietary intakes (three-day food record) and body composition using computed tomography (CT) were assessed at diagnosis (baseline) and after treatment completion (post-treatment). Skeletal muscle (SM) loss was explored as a consequence of energy and protein intake in relation to the minimum and maximum European Society of Parenteral and Enteral Nutrition (ESPEN) guidelines. Higher energy intakes (kcal/kg/day) and increases in energy intake (%) from baseline to post-treatment were correlated with attenuated muscle loss (r = 0.62, p < 0.01; r = 0.47, p = 0.04, respectively). Post-treatment protein intake demonstrated a weak positive correlation (r = 0.44, p = 0.05) with muscle loss, which did not persist when controlling for covariates. Meeting minimum ESPEN energy guidelines (25 kcal/kg/day) did not attenuate SM loss, whereas intakes >30 kcal/kg/day resulted in fewer participants losing muscle. Greater baseline adiposity correlated with greater SM loss (p < 0.001). Energy intakes of 30 kcal/kg/day may be required to protect against SM loss during treatment in HNC patients. The influence of adiposity on SM loss requires further exploration.

How much does reduced food intake contribute to cancer-associated weight loss?

PURPOSE OF REVIEW: An international consensus group defined cancer cachexia as a syndrome of involuntary weight loss, characterized by loss of skeletal muscle (with or without fat loss), which is driven by a variable combination of reduced food intake and altered metabolism.This review presents recent studies that evaluated the contribution of reduced food intake to cancer-associated weight loss. RECENT FINDINGS: Four studies examined food intake in relation to weight loss. Heterogeneity among studies rendered aggregation and interpretation of results challenging. Despite these limitations, reduced food intake had consistent significant, independent associations with weight loss. However, reduced food intake did not explain all the variation in weight loss; and limited data suggests factors related to alterations in metabolism (e.g. increased resting energy expenditure, systemic inflammation) are also contributing to weight loss. SUMMARY: Reduced food intake is a significant contributor to cancer-associated weight loss. Understanding the magnitude of the association between food intake and weight loss may improve when it is possible to account for alterations in metabolism. Efforts to align clinical assessments of food intake to reduce heterogeneity are needed.

Head and Neck Cancer Patients Do Not Meet Recommended Intakes of Micronutrients without Consuming Fortified Products.

This study assessed dietary and micronutrient intakes of head and neck cancer (HNC) patients at key points in the disease trajectory and evaluated the contribution of oral nutritional supplements (ONS) to micronutrient intake. HNC patients (n = 114) completed a three-day dietary record and a tool to assess Nutrition Impact Scores (NIS) at baseline, post-treatment, and follow-up. Foods were classified into food categories. Micronutrient, protein, and energy intakes were compared to European Society for Parenteral and Enteral Nutrition guidelines for cancer patients. The majority of patients did not meet recommended dietary intakes for vitamins D, E, C, folate, and magnesium at any study time point. Relative to baseline, the proportion of calories from milk, soup, and ONS significantly increased at post-treatment, while grain, meat, potato, baked dessert, and oil and sugar decreased (P < 0.03). At all study time points, patients categorized as high ONS consumers (>15% of total daily calories from ONS) had higher intakes of micronutrients (P < 0.003). They also had a higher NIS (P = 0.006) and experienced greater weight loss (P < 0.04) during the study, despite having similar energy intake to patients consuming <15% kcal from ONS. Fortification of usually consumed foods to improve micronutrient intake among cancer patients should be evaluated.

Experiences of Head and Neck Cancer Patients in Middle Adulthood: Consequences and Coping.

The head and neck cancer (HNC) rate is rising among the middle-aged adult population. This trend has been attributed primarily to human papillomavirus exposure. An HNC diagnosis and its complex treatments may trigger life-changing physical, emotional, and social consequences. An interpretive descriptive study was conducted to describe the experiences of a purposive sample of 10 middle-aged adults who had experienced HNC. Two main themes were identified: consequences of HNC and coping with HNC. Subthemes of consequences of HNC included: voicelessness; being or looking sick; shifts in family dynamics; and sexual practices, sexual feelings, and stigma. Subthemes of coping with HNC included seeking information, discovering inner strengths, relying on a support network, establishing a sense of normalcy, and finding meaning within the experience. Supportive nursing interventions were identified by considering results from the standpoint of King's theory of goal attainment.

Recommended European Society of Parenteral and Enteral Nutrition protein and energy intakes and weight loss in patients with head and neck cancer.

BACKGROUND: Information regarding attenuation of weight loss in patients with head and neck cancer consuming energy and protein intakes at levels recommended by the European Society of Parenteral and Enteral Nutrition (ESPEN) is limited. METHODS: Newly diagnosed patients with head and neck cancer (n = 38) consuming food orally had weight and 3-day diet records prospectively collected at baseline, the end of treatment, and at the 2.5-month follow-up. Weight loss of patients consuming the ESPEN recommendations of ≥30 kcal/kg/d energy and 1.2 g/kg/d protein versus those consuming less were compared. Weight loss of oral nutrition supplement consumers versus oral nutrition supplement nonconsumers was also compared. RESULTS: Despite ≥30 kcal/kg/d intakes at posttreatment and follow-up, mean weight loss was 10.3% from baseline to posttreatment, and 4.0% from posttreatment to follow-up. At posttreatment, oral nutrition supplement consumers with intakes ≥30 kcal/kg/d lost twice as much weight as nonconsumers with intakes of ≥30 kcal/kg/d (p = .001). CONCLUSION: Current ESPEN recommendations may not attenuate weight loss in patients with head and neck cancer, especially those consuming oral nutrition supplements. © 2016 Wiley Periodicals, Inc. Head Neck 38:1248-1257, 2016.

The head and neck symptom checklist©: an instrument to evaluate nutrition impact symptoms effect on energy intake and weight loss.

PURPOSE: This study aimed to validate the Head and Neck Patient Symptom Checklist(©) (HNSC(©)) by tracing the prevalence and interference with eating of nutrition impact symptoms (NIS) over time and by examining relationships among NIS included in the HNSC, energy intake, and weight loss. METHODS: Height, weight, 3-day diet records, and HNSC(©) were obtained at baseline, posttreatment, and 2.5 month follow-up for 52 treatment-naive head and neck cancer (HNC) patients. Relationships among energy intake, weight loss, age, sex, treatment, tumor stage, and NIS were evaluated using general estimating equation (GEE) modeling. Cumulative hazard (CH) analysis was used to determine the time and risk of weight loss. RESULTS: From baseline to posttreatment, 71 % of patients had 5 % body weight loss. Despite energy intakes returning to baseline levels at follow-up, 88 % of patients continued to lose weight. At posttreatment, 100 % of patients reported 2 or more NIS (range 2-12); these symptoms were still present at follow-up in 83 % of the patients. Univariate GEE analysis demonstrated that most NIS predicted energy intake and weight loss, while multivariate GEE analysis showed that depression, dysphagia, and sore mouth predicted energy intake, and dysphagia and sore mouth predicted weight loss. CH analysis showed that NIS accelerated the time and probability of weight loss. CONCLUSIONS: The HNSC(©) is a valid tool for assessing NIS in HNC. Identification of NIS may aid in the management of symptoms associated with reduced energy intake and weight loss and thus decrease the malnutrition risk in HNC patients.

Validation of the Head and Neck Patient Symptom Checklist as a nutrition impact symptom assessment tool for head and neck cancer patients.

PURPOSE: The purpose of this study was to test the validity of the Head and Neck Patient Symptom Checklist (HNSC). METHODS: Three hundred and sixty-eight treatment-naive individuals with head and neck cancer prospectively completed the HNSC and the Patient-Generated Symptom Global Assessment (PG-SGA). The predictive validity was determined by comparing the HNSC symptoms interference scores to the PG-SGA scores. Multivariate logistic regression was used to determine the HNSC symptoms scores associated with reduced dietary intake, ≥ 5 % weight loss over 6 months, and reduced functional performance (FP). RESULTS: HNSC sensitivity (79-98 %), specificity (99-100 %), positive predictive value (92-100 %), and negative predictive value (94-100 %) were excellent, and the Cronbach's alpha coefficient was 0.92. The multivariate logistic regression showed that advanced tumor stage, pain, loss of appetite (LOA), and difficulty swallowing significantly predicted dietary intake. Advanced tumor stage, LOA, and difficulty swallowing were also significant predictors of ≥ 5 % weight loss over 6 months. LOA, difficulty swallowing, feeling full, and lack of energy were significant predictors of reduced FP. CONCLUSIONS: The HNSC appears to be a valid tool for determining symptoms interfering with dietary intake of head and neck cancer (HNC) patients. This instrument may aid in early identification of symptoms that place HNC patients at risk for reductions in dietary intake, weight, and functional performance.

Clinical determinants of weight loss in patients receiving radiation and chemoirradiation for head and neck cancer: a prospective longitudinal view.

BACKGROUND: We aimed to determine the effects of systemic inflammation and symptoms of head and neck cancer patients on dietary intake and weight in relation to mode of treatment. METHODS: In all, 38 orally fed patients had intake, weight, C-reactive protein (CRP), and symptoms prospectively assessed at baseline, post-treatment, and follow-up. RESULTS: Intake/weight declined and CRP increased substantially in chemoirradiation patients (-11.4 ± 5.2 kg, -1214 kcal/day, 23.4 ± 24.9 mg/L; p < .05) versus radiotherapy patients (-3.5 ± 4.8 kg, -483 kcal/day, 8.3 ± 13.9 mg/L) during posttreatment (repeated-measures ANOVA). Multivariate generalized estimating equations modeling identified reduced swallowing capacity was a key predictor of energy intake in both treatment groups (p < .001); multiple symptoms experienced by radiotherapy/chemoirradiation patients were significant predictors of weight loss; additionally, in chemoirradiation patients, CRP was an independent predictor of weight loss (p < .001). CONCLUSIONS: Treatment of symptoms and systemic inflammation are important clinical targets to manage weight loss in patients with head and neck cancer, especially those treated with chemoirradiation.

Nutrition impact symptoms: key determinants of reduced dietary intake, weight loss, and reduced functional capacity of patients with head and neck cancer before treatment.

BACKGROUND: Our aim was to evaluate the prevalence and relationship of symptoms with reduced dietary intake, weight, and functional capacity in patients with head and neck cancer. METHODS: Three hundred forty-one patients were prospectively screened with the patient-generated subjective global assessment before treatment. Logistic analysis was used to relate symptoms to reduced dietary intake, weight, and functional capacity. Cumulative hazard analysis was performed to determine the time and risk of weight loss of each symptom. Survival analysis was performed with Cox proportional hazards model. RESULTS: Anorexia, dysphagia, mouth sores, and others were significant predictors of reduced dietary intake and weight. Symptom presence accelerated the time and probability of weight loss. Body mass index < or = 18.5 related to overall survival (p value = .001). CONCLUSIONS: Symptoms present before treatment may adversely affect the dietary intake, weight, and functional capacity of patients. Symptom treatment and management is critical to weight loss prevention.

Critical evaluation of nutrition screening tools recommended for oncology patients.

Malnutrition ranges from 20% to 80% in oncology patients. Malnutrition has been associated with reduced response to treatment, survival, and quality of life. Therefore, screening for malnutrition in patients with cancer is recommended by clinical practice groups including the Oncology Nursing Society. Nurses are in an ideal position to carry out nutrition screening. Three nutrition screening tools that have been recommended for use with oncology patients by the Oncology Nursing Society are critically evaluated. The Patient Generated-Subjective Global Assessment has demonstrated diagnostic value in oncology patients at risk of malnutrition or who are malnourished.