Malnutrition risk and frailty in head and neck cancer patients: coexistent but distinct conditions.

PURPOSE: Both malnutrition and frailty are associated with adverse treatment outcomes. Malnutrition (risk) and frailty are each commonly present in patients with head and neck cancer (HNC). However, their coexistence and association is unknown. Main goal of this study is to determine the coexistence of, and the association between malnutrition risk and frailty in patients with HNC. METHODS: In this retrospective analysis on prospectively collected data, newly diagnosed patients with HNC, enrolled in the OncoLifeS databiobank were included. The Patient-Generated Subjective Global Assessment Short Form (PG-SGA SF) was used to assess malnutrition risk. The Groningen Frailty Indicator (GFI) was used to assess frailty status. Multivariate logistic regression analyses were performed, taking into account several patient- and tumor-related factors. RESULTS: In total, 197 patients were included. Seventy-six patients (39%) had a medium or high malnutrition risk and 71 patients (36%) were frail. In 38 patients (19%), malnutrition risk coexisted with frailty. Patients with medium and high malnutrition risk were, respectively, 4.0 (95% CI 1.5-11.2) and 13.4 (95% CI 4.0-48.7) times more likely to be frail, compared to patients with low malnutrition risk. In turn, frail patients were 6.4 times (95% CI 2.6-14.9) more likely to have malnutrition risk compared to non-frail patients. CONCLUSIONS: Malnutrition risk and frailty frequently coexist but not fully overlap in newly diagnosed patients with HNC. Therefore, screening for both conditions is recommended.

The effect of treatment delay on quality of life and overall survival in head and neck cancer patients.

OBJECTIVE: Head and neck squamous cell carcinomas (HNSCC) are rapidly developing tumours, and substantial delay in treatment initiation is associated with decreased overall survival. The effect of delay on health-related quality of life (HRQOL) is unknown. The aim of this study was to assess the impact of delay on QOL and overall survival. METHODS: Patients with mucosal HNSCC were prospectively included. HRQOL and 2-year overall survival were analysed using linear mixed-model analyses and cox regression, respectively. Delay was defined as care pathway interval (CPI) of ≥30 days between first consultation and treatment initiation. RESULTS: Median CPI was 39 days for the 173 patients included. A trend towards higher HRQOL-scores (indicating better HRQOL) during 2-year follow-up for patients with delay in treatment initiation was visible in the adjusted models (HRQOL summary score-ß: 2.62, 95% CI: 0.57-4.67, p = 0.012). Factors associated with decreased overall survival were moderate comorbidities (HR: 5.10, 95% CI: 1.65-15.76, p = 0.005) and stage-IV tumours (HR: 12.37, 95% CI: 2.81-54.39, p = 0.001). Delay was not associated with worse overall survival. CONCLUSION: Timely treatment initiation is challenging, especially for patients with advanced tumours and initial radiotherapy treatment. Encountering delay in treatment initiation did not result in clinically relevant differences in HRQOL-scores or decreased overall survival during 2-year follow-up.

Determinants of delay in the head and neck oncology care pathway: The next step in value-based health care.

OBJECTIVE: Head and neck squamous cell carcinomas (HNSCC) are relatively fast-growing tumours, and delay of treatment is associated with tumour progression and adverse outcomes. The aim of this study is to identify determinants of delay in a head and neck oncology centre. METHODS: This cohort study with prospectively collected data investigated associations between patient (including geriatric assessment at first consultation), tumour and treatment characteristics and treatment delay. Two quality indicator intervals assessing value-based healthcare were studied: care pathway interval (CPI, interval between first visit in an HNOC and treatment initiation) and time-to-treatment initiation (TTI, interval between histopathological confirmation of HNSCC and treatment initiation), using regression analyses. RESULTS: Stage-IV tumours and initial radiotherapy were independent predictors of delay in CPI. Initial radiotherapy was associated with delay in TTI. Overall, 37% of the patients started treatment within 30 days after first consultation (67% in case of initial surgical treatment and 11.5% if treated with (chemo)radiation, p < 0.001). Geriatric assessment outcomes were not associated with delay. Indicators for delay in initial surgery patients were stage-IV tumours (CPI). CONCLUSION: The majority of HNSCC patients encounter delay in treatment initiation, specifically in patients with advanced-stage tumours or when radiotherapy is indicated.

Effect of Patient Characteristics on Treatment Decisions Regarding Keratinocyte Carcinoma in Elderly Patients: A Review of the Current Literature.

There are straightforward guidelines for treatment of keratinocyte carcinoma (formerly known as non-melanoma skin cancer); however, there are no clear recommendations specifically for elderly patients. The aim of this review was to provide an overview of the current literature about the effect of patient characteristics, specifically life expectancy, frailty and comorbidity, on treatment decisions in elderly patients with keratinocyte carcinoma, by searching PubMed database. It was found that the literature is limited and based mostly on small retrospective studies. Therefore, it is difficult to give firm recommendations about how to treat elderly people who have keratinocyte carcinoma. A "one-size-fits-all" approach to this population is not sufficient: life expectancy and frailty need to be considered in the decision-making process regarding treatment for elderly people with keratinocyte carcinoma. Among the comorbidity scores, Adult-Comorbidity-Evaluation-27-index seems to have the best prognostic value. Prospective studies are needed to generate more individualized recommendations for this increasing and often vulnerable group.

Patients with head and neck cancer: Are they frailer than patients with other solid malignancies?

OBJECTIVE: We aimed to compare frailty status between patients with head and neck cancer (HNC) and other solid malignancies. METHODS: Data collection was prospective, and the following were compared between cohorts at baseline: patient and tumour characteristics, Charlson Comorbidity Index (CCI), Groningen Frailty Indicator (GFI), Mini Mental State Examination (MMSE), Activities of Daily Living (ADLs), Instrumental ADLs (IADLs), Timed Up and Go (TUG) and Quality of Life (QoL). Univariate and multivariate logistic regression analyses were performed, and odds ratios (ORs) with their 95% confidence intervals (95% CIs) were estimated. RESULTS: In total, 242 patients with HNC and 180 with other oncology diagnoses were enrolled, of whom 32.6% and 21.8% were frail according to the GFI respectively. Comorbidity scores were not significantly different between the cohorts (7.4% vs. 13.1%; OR 0.54; 95% CI 0.28-1.02). In the univariate analysis, the GFI was significantly worse in the HNC cohort (OR 1.74; 95% CI 1.11-2.71). However, in the multivariate analysis, the MMSE, TUG and global QoL were significantly worse in the HNC cohort, with ORs of 20.03 (95% CI 2.44-164.31), 11.56 (95% CI 1.86-71.68) and 0.98 (95% CI 0.97-1.00) respectively. CONCLUSION: Patients with HNC appear to be frailer than patients with other solid malignancies despite comparable levels of comorbidity.

Assessment of Sample Preparation Bias in Mass Spectrometry-Based Proteomics.

For mass spectrometry-based proteomics, the selected sample preparation strategy is a key determinant for information that will be obtained. However, the corresponding selection is often not based on a fit-for-purpose evaluation. Here we report a comparison of in-gel (IGD), in-solution (ISD), on-filter (OFD), and on-pellet digestion (OPD) workflows on the basis of targeted (QconCAT-multiple reaction monitoring (MRM) method for mitochondrial proteins) and discovery proteomics (data-dependent acquisition, DDA) analyses using three different human head and neck tissues (i.e., nasal polyps, parotid gland, and palatine tonsils). Our study reveals differences between the sample preparation methods, for example, with respect to protein and peptide losses, quantification variability, protocol-induced methionine oxidation, and asparagine/glutamine deamidation as well as identification of cysteine-containing peptides. However, none of the methods performed best for all types of tissues, which argues against the existence of a universal sample preparation method for proteome analysis.

Frailty and restrictions in geriatric domains are associated with surgical complications but not with radiation-induced acute toxicity in head and neck cancer patients: A prospective study.

OBJECTIVES: We aimed to evaluate the association between frailty screening and geriatric assessment (GA) on short term adverse events in patients treated for head and neck cancer (HNC) for the first time in a prospective study. MATERIALS AND METHODS: Newly diagnosed HNC patients undergoing curative treatment were prospectively included in OncoLifeS, a data biobank. Prior to the start of treatment, frailty was assessed with a GA, Groningen Frailty Indicator (GFI) and Geriatric-8 (G8). The GA included comorbidity (Adult Comorbidity Evaluation - 27), nutritional status (Malnutrition Universal Screening Tool), functional status ((instrumental) Activities of Daily Living), mobility (Timed Up & Go), psychological (Geriatric Depression Scale 15) and cognitive (Mini Mental State Examination) measures. Clinically relevant postoperative complications (Clavien-Dindo ≥ grade 2) and acute radiation-induced toxicity (Common Terminology Criteria for Adverse Events version 4.0 ≥ grade 2) were defined as outcome measures. Univariable and multivariable logistic regression analyses were performed, yielding odds ratios (ORs) and 95% confidence intervals (95%CIs). RESULTS: Of the 369 included patients, 259 patients were eligible for analysis. Postoperative complications occurred in 41/148 (27.7%) patients and acute radiation-induced toxicity was present in 86/160 (53.7%) patients. Number of deficit domains of GA (OR = 1.71, 95%CI = 1.14-2.56), GFI (OR = 2.54, 95%CI = 1.02-6.31) and G8 (OR5.59, 95%CI = 2.14-14.60) were associated with postoperative complications, but not with radiation-induced toxicity. CONCLUSION: Frailty and restrictions in geriatric domains were associated with postoperative complications, but not with radiation-induced acute toxicity in curatively treated HNC patients. The results of this prospective study further emphasizes the importance of geriatric evaluation, particularly before surgery.

Association of Deficits Identified by Geriatric Assessment With Deterioration of Health-Related Quality of Life in Patients Treated for Head and Neck Cancer.

Importance: Accumulation of geriatric deficits, leading to an increased frailty state, makes patients susceptible for decline in health-related quality of life (HRQOL) after treatment for head and neck cancer (HNC). Objective: To assess the association of single and accumulated geriatric deficits with HRQOL decline in patients after treatment for HNC. Design, Setting, and Participants: Between October 2014 and May 2016, patients at a tertiary referral center were included in the Oncological Life Study (OncoLifeS), a prospective data biobank, and followed up for 2 years. A consecutive series of 369 patients with HNC underwent geriatric assessment at baseline; a cohort of 283 patients remained eligible for analysis, and after 2 years, 189 patients remained in the study. Analysis was performed between March and November 2020. Interventions or Exposures: Geriatric assessment included scoring of the Adult Comorbidity Evaluation 27, polypharmacy, Malnutrition Universal Screening Tool, Activities of Daily Living, Instrumental Activities of Daily Living (IADL), Timed Up & Go, Mini-Mental State Examination, 15-item Geriatric Depression Scale, marital status, and living situation. Main Outcomes and Measures: The primary outcome measure was the Global Health Status/Quality of Life (GHS/QOL) scale of the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30. Differences between patients were evaluated using linear mixed models at 3 months after treatment (main effects, ß [95% CI]) and declining course per year during follow-up (interaction × time, ß [95% CI]), adjusted for baseline GHS/QOL scores, and age, sex, stage, and treatment modality. Results: Among the 283 patients eligible for analysis, the mean (SD) age was 68.3 (10.9) years, and 193 (68.2%) were male. Severe comorbidity (ß = -7.00 [-12.43 to 1.56]), risk of malnutrition (ß = -6.18 [-11.55 to -0.81]), and IADL restrictions (ß = -10.48 [-16.39 to -4.57]) were associated with increased GHS/QOL decline at 3 months after treatment. Severe comorbidity (ß = -4.90 [-9.70 to -0.10]), IADL restrictions (ß = -5.36 [-10.50 to -0.22]), restricted mobility (ß = -6.78 [-12.81 to -0.75]), signs of depression (ß = -7.08 [-13.10 to -1.06]), and living with assistance or in a nursing home (ß = -8.74 [-15.75 to -1.73]) were associated with further GHS/QOL decline during follow-up. Accumulation of domains with geriatric deficits was a major significant factor for GHS/QOL decline at 3 months after treatment (per deficient domain ß = -3.17 [-5.04 to -1.30]) and deterioration during follow-up (per domain per year ß = -2.74 [-4.28 to -1.20]). Conclusions and Relevance: In this prospective cohort study, geriatric deficits were significantly associated with HRQOL decline after treatment for HNC. Therefore, geriatric assessment may aid decision-making, indicate interventions, and reduce loss of HRQOL. Trial Registration: trialregister.nl Identifier: NL7839.

Frailty is associated with decline in health-related quality of life of patients treated for head and neck cancer.

OBJECTIVE: To determine the effect of frailty on Health Related Quality of Life (HRQoL) after treatment for Head and Neck Cancer (HNC). MATERIALS AND METHODS: Patients were prospectively included in OncoLifeS, a data-biobank. Before treatment, patients underwent geriatric screening, including the Groningen Frailty Indicator (GFI) and Geriatric 8 (G8). Patients' HRQoL was measured using the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 (EORTC-QLQ-C30) at three, six, twelve and twenty four months after treatment. Linear mixed models were used for statistical analysis. All models were adjusted for baseline HRQoL values, relevant confounders at baseline and yielded estimates (ß), 95% confidence intervals and p-values. RESULTS: 288 patients were included. The mean age was 68.4 years and 68.8% were male. During follow-up, 84 patients had tumor recurrence and 66 died. Response to EORTC-QLQ-C30 ranged from 77.3% to 87.8%. Frail patients, defined by GFI, had significantly worse Global Health Status/Quality of Life (GHS/QoL) (ß = -8.70(-13.54;-3.86), p < 0.001), physical functioning (ß = -4.55(-8.70;-0.40), p < 0.032), emotional functioning (ß = -20.06(-25.65;-15.86), p < 0.001), and social functioning (ß = -8.44(-13.91;-2.98), p < 0.003) three months after treatment compared to non-frail patients. Furthermore, frail patients had a significantly worse course of GHS/QoL (ß = -7.47(-11.23;-3.70), p = 0.001), physical functioning (ß = -3.28(-6.26;-0.31), p = 0.031) and role functioning (ß = -7.27(-12.26;-2.28), p = 0.005) over time, compared to non-frail patients. When frailty was determined by G8, frailty was significantly associated with worse GHS/QoL (ß = -6.68(-11.00;-2.37), p = 0.003) and emotional functioning (ß = -5.08(-9.43;-0.73), p = 0.022) three months after treatment. CONCLUSION: Frail patients are at increased risk for decline in HRQoL, and further deterioration during follow-up after treatment for HNC.

Geriatric assessment of patients treated for cutaneous head and neck malignancies in a tertiary referral center: Predictors of postoperative complications.

INTRODUCTION: As cutaneous head and neck malignancies are highly prevalent especially in older patients, the risk of surgical complications is substantial in this potentially vulnerable population. The objective of this study was to evaluate the value of geriatric assessment of this population with respect to postoperative complications. METHODS: Patients were prospectively included in OncoLifeS, a databiobank. Before surgery, patients underwent a geriatric assessment including multiple validated screening tools for frailty, comorbidity, polypharmacy, nutrition, functional status, social support, cognition and psychological status. Postoperatively, complications (Clavien-Dindo ≥ grade II) were registered. Uni- and multivariable logistic regression analyses were performed yielding odds ratios (ORs) and 95% confidence intervals (95%CIs). RESULTS: 151 patients undergoing surgery for cutaneous head and neck malignancies were included in this study (mean age 78.9 years, 73.5% male). In a multivariable analysis, frailty measured by the Geriatric 8 (G8) (OR = 6.34; 95%CI:1.73-23.25) was the strongest independent predictor of postoperative complications, among other predictors such as major treatment intensity (OR = 2.73; 95%CI:1.19-6.26) and general anesthesia (OR = 4.74; 95%CI:1.02-22.17), adjusted for age and sex. CONCLUSION: Frailty, measured by G8, is the strongest predictor of postoperative complications in patients undergoing surgery for cutaneous head and neck malignancies in addition to treatment intensity and type of anesthesia. Geriatric screening on multiple domains is recommended for patients with cutaneous malignancies undergoing head and neck surgery is recommended, as this population includes old patients and frequently suffers postoperative complications.