Abstract
Objective: This study aimed to examine the concordance between Global Leadership Initiative on Malnutrition (GLIM) criteria and Nutrition Risk Screening-2002 (NRS-2002) screening scores, and to describe longitudinal changes in anthropometric parameters and C3-derived skeletal muscle metrics, in patients with head and neck cancer (HNC) undergoing radiotherapy (RT) or chemoradiotherapy (CRT).
Methods: A total of 32 HNC patients undergoing RT or CRT were prospectively enrolled and assessed at baseline (Day 1) and at Week 5 of treatment, with all patients receiving standardized oral nutritional supplementation and weekly clinical monitoring throughout the study period. Anthropometric measurements, skeletal muscle mass (SMM) at the third cervical vertebra (C3), and nutritional status using the NRS-2002 and GLIM criteria were assessed at baseline (Day 1) and at the end of the fifth week of treatment.
Results: From the first day to the fifth week of anticancer treatment, the percentage of patients at risk of malnutrition (NRS-2002 scores ≥ 3) increased significantly from 40.6% to 71.9% (P = .002), while the prevalence of malnutrition based on GLIM criteria increased from 46.9% to 71.9% (P = .005). Despite nutritional support, significant reductions in body weight, BMI, and C3 cross-sectional muscle area all P < .05 were observed. NRS-2002 scores correlated significantly with GLIM classifications at baseline and at Week 5 (all P < .005). No significant associations were observed between C3-derived skeletal muscle parameters and either assessment tool.
Conclusions: Despite standardized nutritional supplementation and weekly clinical monitoring, significant declines in body weight, BMI, and C3 cross-sectional muscle area were observed during the five-week treatment period. The GLIM criteria identified a progressive increase in malnutrition prevalence, particularly in the severe (Stage 2) category. NRS-2002 scores showed stronger associations with anthropometric parameters than with SMM, suggesting potential limitations of SMM assessments in this patient population. These findings underscore the need for individualized, proactive nutritional management in HNC patients undergoing RT or CRT. The utility of C3-based skeletal muscle assessment as a monitoring tool during active treatment requires further validation in larger prospective studies.
Keywords: head and neck neoplasm, malnutrition, nutritional assessment, radiotherapy
Main Points
- Malnutrition progressed significantly during treatment, with GLIM-defined malnutrition prevalence increasing from 46.9% at baseline to 71.9% by Week 5 despite nutritional supplementation.
- The proportion of severely malnourished patients (GLIM Stage 2) tripled during the five-week treatment period.
- NRS-2002 scores increased in parallel with GLIM staging and were consistently associated with anthropometric deterioration, supporting their complementary use for early malnutrition identification and monitoring in routine clinical practice.
- Significant reductions in body weight, BMI, and C3 cross-sectional muscle area were observed during the five-week treatment period, confirming measurable anthropometric and regional muscle deterioration in this patient population.
- C3-based skeletal muscle parameters were not significantly associated with GLIM staging or NRS-2002 scores, and their role as a monitoring tool during active treatment requires further validation.
Introduction
Head and neck cancer (HNC) is one of the cancer types with the highest prevalence of malnutrition, due to the compromising impact of lifestyle habits adopted prior to diagnosis as well as the location of the tumor on food intake, the hypercatabolic state induced by the malignancy itself and the toxicities of radiotherapy (RT) or chemoradiotherapy (CRT).1,2
Approximately 70% of weight loss in HNC patients involves the decrease in lean body mass (LBM), with skeletal muscle mass (SMM) being its primary component.1,3 Reduced SMM is increasingly recognized as a critical factor contributing to poor short- and long-term outcomes in oncology, including diminished treatment tolerance, increased toxicity, and worse survival.4,5 In clinical practice, the gold standard for SMM assessment is based on cross-sectional imaging at the third lumbar vertebra (L3); however, this is not routinely available in HNC patients.1,3-6 Instead, SMM assessment at the third cervical vertebra (C3), which is typically included in HNC imaging protocols, has been validated as a reliable and cost-effective alternative, showing a strong correlation with L3 measurements.7,8 Despite this, the diagnostic sensitivity of C3-based SMM assessments in identifying malnutrition remains limited, particularly in sarcopenic or nutritionally compromised patients.
Recently, Global Leadership Initiative on Malnutrition proposed global consensus-based universal criteria (GLIM criteria) for diagnosis and severity grading of malnutrition in adults in different clinical settings after individuals were determined to be at risk of malnutrition according to a validated nutritional screening tool.9 The diagnosis of malnutrition is based on any combination of at least one phenotypic criterion (nonvolitional weight loss, low body mass index [BMI] or reduced muscle mass) and one etiologic criterion (reduced food intake or disease burden / inflammation), while the severity classification (stage 1 / moderate or stage 2 / severe) is based on the degree of loss for the phenotypic criteria.9 Notably, given that they are currently developed as a consensus-based framework, the validity and reliability of these operational criteria need to be tested across different clinical populations.10,11 However, to date, only a limited number of studies have investigated the prevalence of malnutrition according to GLIM specifically in the HNC setting.10,12,13
This study aimed to examine the concordance between GLIM staging and NRS-2002 scores prospectively and describe longitudinal changes in anthropometric parameters and C3-derived skeletal muscle metrics over the first five weeks of RT or CRT, in a real-world outpatient HNC cohort under standardized oral nutritional supplementation and weekly clinical monitoring.
To our knowledge, this represents one of the few prospective studies to simultaneously apply all three assessment modalities — GLIM criteria, NRS-2002 screening, and C3-based skeletal muscle metrics — within the same HNC cohort, thereby enabling a direct comparison of their concordance and methodological limitations under routine clinical conditions.
Methods
Study population
A total of 32 patients with HNC (median age 60 years, range 18-85 years, 81.3% were men) who received RT or CRT with concomitant nutritional support were included in this prospective longitudinal study conducted at a tertiary care radiation oncology clinic between April 2020 and April 2021. Patients were eligible if they were 18 years or older and provided written informed consent after a detailed explanation of the study protocol. Exclusion criteria included prior anticancer treatment, secondary malignancies, or inability to complete the planned treatment protocol. Of the 58 patients initially screened, 26 were excluded due to prior anticancer treatment (n = 12), secondary malignancy (n = 6), inability to complete the planned treatment course (n = 5), or refusal to provide informed consent (n = 3). All 32 enrolled patients completed both assessment time points (Day 1 and Week 5) with no loss to follow-up. All patients received volumetric modulated arc therapy (VMAT) with standard fractionation (1.8–2 Gy per fraction). Patients undergoing CRT received concurrent weekly platinum-based chemotherapy according to institutional protocols; cetuximab-based regimens were not used in this cohort.
Written informed consent was obtained from each subject following a detailed explanation of the objectives and protocol of the study, which was conducted in accordance with the ethical principles stated in the ‘Declaration of Helsinki’ and approved by the institutional ethics committee. This study is reported in accordance with the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines.
Assessments
Data on patient demographics (age, sex), comorbid diseases, smoking status, tumor characteristics (TNM stage, location) and treatment modality (definitive/ adjuvant RT, CRT) were recorded at baseline. Data on anthropometrics (weight [kg], BMI [kg/m2], mid-arm circumference [cm], calf circumference [cm]), SMM at the level of the third cervical vertebra (C3) including paravertebral cross-sectional muscle area (CSMA, cm2) and skeletal muscle index (cm2 / m2), and nutritional status assessment via NRS-2002 and GLIM criteria were recorded on the first day and 5th week of anti-cancer treatment.
Study parameters
First-day vs. fifth-week data on anthropometrics, SMM and nutritional status (NRS-2002, GLIM) were compared. The correlation of NRS-2002 scores with anthropometrics and SMM as well as the change in NRS-2002 scores, anthropometrics and SMM according to the first day and fifth week GLIM classification groups were also evaluated. The characteristics of the patient and treatment were also evaluated according to anthropometric parameters, SMM, and nutritional status.
SMM assessment
Skeletal muscle mass was assessed by measuring cross-sectional muscle area at the C3 vertebral level on planning computed tomography (CT) scans obtained at baseline (Day 1) and at Week 5. All scans were acquired with a 2.5-mm slice thickness using the institutional radiotherapy simulation protocol.
Muscle contours were manually delineated at the C3 level according to previously validated anatomical landmarks and methodology.8 Skeletal muscle tissue was segmented using Hounsfield unit thresholds of −29 to +150 HU and cross-sectional muscle area was calculated using the volume analysis tool of the treatment planning system (Eclipse v15.1, Varian Medical Systems).
CSMA was defined as the sum of the bilateral paravertebral muscles (PVM); the sternocleidomastoid muscles (SCM) were excluded from all measurements owing to the risk of contour inaccuracy in the presence of cervical lymph node involvement. The C3 skeletal muscle index (SMI) was calculated by dividing total CSMA by the square of the patient’s height (cm²/m²).
Measurements were independently performed by two trained observers using a standardized segmentation protocol, both blinded to each other’s measurements and to the patients’ nutritional assessment results. To evaluate reproducibility, a randomly selected subset comprising 25% of the scans was reanalyzed. Intra- and interobserver agreement were assessed using a two-way random effects intraclass correlation coefficient (ICC) model with absolute agreement. The analysis demonstrated good reproducibility, with intraobserver ICC values of 0.86 (95% CI: 0.80–0.93) and interobserver ICC values of 0.82 (95% CI: 0.75–0.90).
Nutritional status assessment
Nutritional status assessment was based on NRS-2002 and GLIM criteria. Patients with NRS 2002 scores ≥ 3 were considered at risk of malnutrition that required nutritional intervention. Based on GLIM criteria, patients were classified as stage 1 (moderate malnutrition; weight loss: 5–10% within the past 6 months, or 10–20% beyond 6 months; low BMI: < 20 if < 70 years, < 22 if ≥ 70 years, reduced muscle mass: mild to moderate deficit) and stage 2 (severe malnutrition; weight loss: >10% within the past 6 months, or >20% beyond 6 months; low BMI: < 18.5 if <70 years, < 20 if ≥ 70 years; reduced muscle mass: severe deficit) [9].
For the etiologic criterion, all patients were classified as meeting the criterion of ‘disease burden/inflammation’ on the basis of a confirmed active malignancy requiring anticancer treatment, consistent with the GLIM framework’s guidance that cancer constitutes a chronic disease with systemic inflammation.
Nutritional intervention and monitoring
All patients received standardized nutritional counseling and oral nutritional supplements (ONS) starting at treatment initiation. Standard, commercially available balanced ONS formulations routinely used in clinical practice were prescribed (approximately 1.2–1.5 kcal/mL; 200–220 mL per serving), without disease-specific or protein-enriched formulations.
The initial prescription consisted of 2–3 bottles per day, with dose adjustments based on weekly body weight trends, treatment tolerance, and patient-reported intake.
Nutritional monitoring was performed weekly through structured face-to-face physician-led interviews (approximately 10 minutes each) during RT/CRT. Each interview included a symptom-directed assessment (dysphagia, odynophagia, mucositis, nausea, and taste alterations), a 24-hour dietary recall, and a pragmatic adherence evaluation based on patient-reported supplement consumption. Bottle counts were used to corroborate self-reported adherence where available.
Adherence to ONS was pragmatically categorized as acceptable when patients reported consuming approximately ≥75% of the prescribed amount on most days of the week. Given the pragmatic outpatient design, total caloric and protein intake from all dietary sources was not formally quantified.
Statistical analysis
Statistical analysis was performed using IBM SPSS Statistics version 23.0 (IBM Corp., Armonk, NY). Descriptive statistics were presented as means ± standard deviation (SD), medians (min-max), or percentages. The Shapiro-Wilk test was used to assess normality. Parametric data were analyzed using paired t-tests and one-way analysis of variance (ANOVA) with post hoc Tukey HSD tests, while non-parametric data were analyzed using the Mann-Whitney U test and Kruskal-Wallis test. Categorical variables were compared using the chi-square test, with the McNemar-Bowker test applied for time-based comparisons. Pearson’s correlation coefficients were calculated for relationships between quantitative variables. P < .05 was considered statistically significant.
Results
Baseline characteristics
The study population included 32 HNC patients with a median age of 60 years (range: 18–85 years), of whom 81.3% were male. Hypertension and chronic obstructive pulmonary disease (COPD) were the most common comorbidities (18.8% each), and 37.5% of patients were active smokers. Most tumors were located in the larynx (56.3%) or oral cavity (21.9%), and the predominant histological subtype was squamous cell carcinoma (93.8%). Overall, 65.6% of patients had locally advanced diseases (T3-T4). A total of 68.8% of patients received CRT, while 31.3% underwent RT alone.
All patients were managed exclusively in an outpatient setting throughout the five-week treatment period. No patient required hospitalization, nasogastric tube feeding, percutaneous endoscopic gastrostomy (PEG), or parenteral nutritional support during the study. No grade 3 acute toxicity occurred that necessitated escalation of nutritional support or treatment interruptions longer than 2 days. Among the 32 enrolled patients, 27 (84.3%) demonstrated acceptable adherence to the prescribed ONS regimen (≥75% of the prescribed daily dose on most monitored days) based on weekly interview-based assessment. The remaining five patients (15.6%) reported suboptimal adherence, primarily attributable to nausea (n = 3), odynophagia (n = 1), and dysgeusia (n = 1).
Further baseline characteristics are detailed in Table 1.
| COPD: chronic obstructive pulmonary disease; RT: Radiotherapy; CRT: Chemoradiotherapy | ||
| Table 1. Baseline characteristics | ||
| Patient characteristics | ||
| Age (year) | Mean (SD) |
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| Median (min-max) |
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| Age group, n (%) | ≤65 year |
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| >65 year |
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| Sex, n (%) | Male |
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| Female |
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| Comorbidity, n (%) | Hypertension |
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| Diabetes |
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| COPD |
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| Other |
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| Active smoking, n (%) |
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| Tumor characteristics, n (%) | ||
| Histological subtype | Squamous cell carcinoma |
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| Undifferentiated |
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| Adeno-squamous |
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| TNM Stage | 0 |
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| Stage I |
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| Stage II |
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| Stage III |
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| Stage IV |
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| Treatment characteristics, n (%) | ||
| Type of treatment | CRT |
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| RT |
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| RT approach | Definitive |
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| Adjuvant |
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| RT field | Nasopharynx |
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| Oropharynx |
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| Hypopharynx |
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| Larynx |
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| Oral cavity |
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| Unknown |
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| RT Dosage | ≤50 Gy |
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| >50 Gy |
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Changes in anthropometrics and SMM during treatment
Between Day 1 and Week 5 of treatment, there were significant reductions in body weight (mean±SD: 69.38 ± 15.43 kg vs. 65.98 ± 16.08 kg, P = .001), BMI (23.83 ± 4.74 vs. 22.92 ± 4.68 kg/m², P < .001), and calf circumference (36.39 ± 3.12 cm vs. 35.66 ± 2.88 cm, P < .001) (Table 2). The percentage weight loss averaged 5.08% (mean ± SD: 5.08 ± 9.21%) across the study population, with significant differences observed between GLIM stages (P = .004).
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BMI: Body mass index; SMM: Skeletal muscle mass; CSMA: Cross-sectional muscle area; SMI: Skeletal muscle index, NRS: Nutritional Risk Screening, GLIM: Global Leadership Initiative on Malnutrition 1Paired samples t test, 2McNemar test, 3McNemar-Bowker test |
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| Table 2. First day vs. 5th week data on anthropometrics, SMM and nutritional status | ||||||
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| Anthropometrics | ||||||
| Weight (kg) |
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| BMI (kg/m2) |
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| Mid arm circumference (cm) |
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| Calf circumference (cm) |
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| SMM (C3) | ||||||
| CSMA (cm2) |
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| SMI (cm2/m2) |
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| Nutritional status | ||||||
| NRS-2002 assessment | ||||||
| Total score |
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| Risk of malnutrition (≥3), n (%) |
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| GLIM classification, n (%) | ||||||
| Non-malnourished |
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| Malnourished | Total |
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| Stage 1 |
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| Stage 2 |
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There was also a significant decrease in cross-sectional muscle area (CSMA) at the C3 vertebra level (4.76 ± 1.39 cm² vs. 4.46 ± 1.21 cm², P = .038), while changes in skeletal muscle index (SMI) were not statistically significant (P = .058). (Table 2)
Nutritional status at baseline and week 5
The prevalence of malnutrition based on GLIM criteria increased significantly from 46.9% at baseline to 71.9% by Week 5 (P = .005). Of these, the proportion of patients classified as severely malnourished (Stage 2) increased from 9.4% to 28.1%. Similarly, the percentage of patients at risk of malnutrition based on NRS-2002 scores (≥ 3) increased from 40.6% at baseline to 71.9% at Week 5 (P = .002). (Table 2)
Correlation of NRS-2002 scores with anthropometrics and SMM
Anthropometric parameters (body weight, BMI and mid-arm circumference) were correlated negatively with first day and 5th week NRS-2002 scores (r: ranged from -0.387 for mid-arm circumference to -0.609 for BMI; P ranged from .03 to < .001) and positively with first day and 5th week CSMA (r: ranged from 0.598 for mid-arm circumference to 0.699 for body weight; P < .001) and skeletal muscle index (r: ranged from 0.538 for mid-arm circumference to 0.648 for BMI; P ranged from .004 to < .001) measured at the level of C3. (Table 3)
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CSMA: Cross-sectional muscle area; SMI: Skeletal muscle index Pearson correlation analysis; r: correlation coefficient |
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| Table 3. Correlation of NRS-2002 scores with anthropometrics and skeletal muscle assessment | |||||||||
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| C3 CSMA |
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| C3 SMI |
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| Body weight |
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| Body mass index |
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| Midarm circumference |
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| Calf circumference |
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No significant correlations were observed between NRS-2002 scores and C3-derived skeletal muscle parameters at either time point (all P > .05; Table 3).
Correlation of GLIM categories with anthropometrics and SMM
Staging based on GLIM criteria was negatively correlated significantly with both BMI (r = -0.391, P = .027) and midarm circumference (r = -0.356, P = .045) on the first day, while only with BMI (r = -0.435, P = .013) in the fifth week. By Week 5, only BMI retained statistical significance with GLIM classification. No significant correlation was observed between GLIM stages and SMM parameters. (Table 3).
Change over time in nutritional status by GLIM assessment
When stratified by GLIM classification, 50% of patients who were moderately malnourished (Stage 1) at baseline progressed to Stage 2 by Week 5. Among the non-malnourished at baseline, 41.2% developed malnutrition (Stage 1 or 2) during treatment. (Table 4)
| McNemar-Bowker test | ||||
| Table 4. Comparison of the first day versus the fifth week of nutritional status based on GLIM assessment | ||||
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| GLIM-first day, n(%) | ||||
| Non-malnourished (n=17) |
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| Stage 1 (n=12) |
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| Stage 2 (n=3) |
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NRS-2002 scores, anthropometrics and SMM according to GLIM groups
Stage 1 and stage 2 vs. non-malnourished GLIM groups on the first day had a significantly higher first day (3.17 ± 1.03 and 4.00 ± 1.00 vs. 1.41 ± 0.62, P < .001) and 5th week (4.00 ± 0.74 and 4.67 ± 0.58 vs. 2.35 ± 1.12, P = .002) NRS-2002 scores.
Stage 1 and stage 2 vs. non-malnourished GLIM groups on the 5th week also had significantly higher first day (2.50 ± 1.23 and 3.00 ± 1.41 vs. 1.33 ± 0.50, P = .012) and 5th week (3.50 ± 0.94 and 4.22 ± 0.67 vs. 1.67 ± 0.87, P < .001) NRS-2002 scores. (Table 5)
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BMI: Body mass index; SMM: Skeletal muscle mass; CSMA: Cross-sectional muscle area; SMI: Skeletal muscle index 1Paired samples t test, 2One way ANOVA |
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| Table 5. NRS-2002 scores, anthropometrics and SMM according to the first day and fifth week GLIM classification | ||||||||
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| NRS-2002 scores, mean±SD | ||||||||
| First day |
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| 5th week |
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| Difference |
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| Anthropometrics, mean±SD | ||||||||
| Body weight (kg) |
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| BMI (kg/m2) |
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| Calf circumference (cm) |
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| Mid-arm circumference (cm) |
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| SMM, mean±SD | ||||||||
| C3 CSMA (cm2) |
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| C3 SMI (cm2/m2) |
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The 5th week vs. the first day NRS-2002 scores were significantly higher in non-malnourished (2.35 ± 1.12 vs. 1.41 ± 0.62, P = .001) and stage 1 malnourished (4.00 ± 0.74 vs. 3.17 ± 1.03, P = .005) patients based on the first day GLIM assessment, and in stage 1 (3.50 ± 0.94 vs. 2.50 ± 1.23, P < .001) and stage 2 (4.22 ± 0.67 vs. 3.00 ± 1.41, P = .005) malnourished patients based on the 5th week GLIM assessment. (Table 5)
SMM parameters did not differ significantly across GLIM groups at either assessment point (all P > .05; Table 5). Given the small number of patients within each GLIM subgroup, these comparisons should be considered exploratory.
Patients classified as not malnourished on the first day and fifth week of GLIM evaluation had significantly higher BMI compared to stage 1 (25.80 ± 3.78 vs. 21.46 ± 4.87 kg/m2, P = .037) and stage 1 and stage 2 patients (26.79 ± 4.09 vs. 21.39 ± 4.29 and 21.44 ± 3.86, P = .009), respectively. (Table 5)
Characteristics of the patient and treatment according to study parameters
Females vs. males (median -1.50 vs. -1.00, P = .03) and patients who received CRT vs. RT (median -1.0 vs. 0.0, P = .030) had more marked deterioration in NRS-2002 scores, while definitive vs. adjuvant RT (72.2 vs. 28.6%, P = .02) was applied more frequently in non-malnourished patients based on first day GLIM (Table 6).
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BMI: Body mass index; CSMA: Cross-sectional muscle area; SMI: Skeletal muscle index; RT: radiotherapy; CRT: Chemoradiotherapy 1Independent samples t test, 2Mann-Whitney U test, 3χ2 test |
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| Table 6. Characteristics of the patient and treatment according to anthropometrics, SMM, and nutritional status | ||||||||||
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| Sex | ||||||||||
| Female |
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| Male |
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| Age group | ||||||||||
| <65 year |
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| > 65 year |
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| Smoking | ||||||||||
| No |
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| Yes |
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| Disease stage | ||||||||||
| Early stage (stage I-II) |
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| Advanced (stage III-IV) |
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| RT approach | ||||||||||
| Definitive |
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| Adjuvant |
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| Treatment | ||||||||||
| CRT |
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Age, smoking status and tumor stage had no significant influence on anthropometrics, SMM and nutritional status parameters (Table 6).
Discussion
Although several studies have investigated GLIM criteria in HNC patients10,12,13, the present study adds to this literature by simultaneously incorporating longitudinal C3-based skeletal muscle assessment alongside both GLIM staging and NRS-2002 monitoring within a prospective real-world outpatient cohort. This integrated, multimodal approach enables a direct comparison of assessment tools and muscle metrics under routine clinical conditions, which has not been systematically reported in previous studies focusing primarily on malnutrition prevalence.
Malnutrition remains a significant concern in HNC patients due to the combined effects of tumor biology, treatment-related toxicities, and decreased oral intake.14-16 The baseline malnutrition prevalence observed in this study (46.9%) is consistent with prior research, reflecting the inherent nutritional vulnerability of this patient population.10,15,17 By Week 5, prevalence increased to 71.9%, consistent with evidence that malnutrition frequently worsens during anticancer treatment owing to the cumulative mucosal and systemic toxicities of RT or CRT, including mucositis, dysphagia, and anorexia.12,13
NRS-2002 scores correlated significantly with GLIM-based malnutrition stages at baseline, and this concordance was maintained through Week 5 of treatment. These findings support the feasibility of applying GLIM criteria to prospectively identify patients at high nutritional risk prior to anticancer treatment, including those with severe malnutrition (Stage 2) who are at higher risk of postoperative complications and 90-day all-cause mortality.9,18,19
In addition, NRS-2002 scores were significantly associated with body weight, BMI and mid-arm circumference, whereas GLIM-defined malnutrition was significantly correlated with BMI alone at both time points. This pattern likely reflects the dominant role of low BMI as the most frequently met GLIM phenotypic criterion in this cohort, given that the majority of patients had BMI values near or below the GLIM threshold (<20 kg/m² for patients under 70 years). Weight loss and reduced muscle mass criteria, while clinically present, may have been less consistently met or may not have reached phenotypic threshold severity in all patients at baseline.20,21Similarly, Steer et al. reported that GLIM-defined malnutrition in HNC patients was significantly associated with BMI alone.10
The lack of significant association between GLIM classification and C3-derived muscle parameters may reflect the short observation period, limited sample size, and methodological challenges of detecting early muscle changes during active RT/CRT rather than a true lack of biological relationship.
In the present cohort, despite standardized ONS prescription aligned with ESPEN recommendations and weekly clinical monitoring, significant declines in body weight, BMI, and C3 CSMA were observed throughout the five-week treatment period. However, as total dietary intake from all sources was not formally quantified, the degree to which individual patients met recommended energy and protein targets cannot be confirmed; the observed nutritional deterioration should therefore be interpreted in the context of prescribed but incompletely verified nutritional support. These findings highlight the limitations of standard ONS-based interventions in HNC patients, particularly those with severe baseline nutritional deficits. Prior studies have reported similarly mixed results regarding the efficacy of ONS alone in maintaining nutritional status during RT or CRT, and nutritional strategies incorporating proactive measures — such as prophylactic enteral feeding or intensive individualized dietary counseling — may better address the complex needs of this population.22-26
CRT was associated with greater declines in BMI and nutritional status compared with RT alone, reflecting the heightened toxicity of combined treatments. This is consistent with prior evidence identifying CRT as a major risk factor for nutritional deterioration, owing to its exacerbation of mucositis, dysphagia, and gastrointestinal symptoms.12,27-30 Early and intensive nutritional intervention is therefore essential to minimize treatment interruptions and improve clinical outcomes in these patients.12,22,29
C3 cross-sectional muscle area (CSMA) has been proposed as a practical alternative to L3-based skeletal muscle assessment in HNC patients, given its routine availability on planning CT imaging.7,8 In this study, C3 CSMA declined significantly during treatment, whereas changes in the skeletal muscle index (SMI) did not reach statistical significance, and neither parameter was significantly correlated with GLIM staging or NRS-2002 scores. The lack of significant association between GLIM classification and C3-derived muscle parameters may reflect the short observation period, limited sample size, and methodological challenges inherent to detecting early muscle changes during active RT/CRT, rather than a true absence of biological relationship. Similar constraints have been reported in prior studies evaluating C3-based assessments, particularly regarding sensitivity to small but clinically meaningful muscle losses.31
A further consideration is the potential influence of local radiotherapy-related tissue changes on C3 muscle measurements. In the acute treatment phase, soft tissue edema and early lymphatic alterations within the irradiated neck region could theoretically affect cross-sectional area estimates. However, clinically relevant RT-induced skeletal muscle atrophy and volumetric changes are generally reported months to years after treatment completion rather than within the first weeks of therapy.32,33 For this reason, the Week 5 assessment time point was intentionally selected to capture early treatment-related nutritional changes while minimizing exposure to long-term structural RT effects. Nevertheless, the possibility that local treatment-related tissue changes may partially confound C3 CSMA measurements cannot be entirely excluded and should be considered when interpreting these results.
By incorporating percentage weight loss and skeletal muscle metrics (CSMA and SMI) into the assessment, this study adds to the growing evidence supporting GLIM as a robust tool for malnutrition diagnosis and staging. The findings further suggest that GLIM can identify patients at higher risk of adverse outcomes, such as those with severe malnutrition (Stage 2), a subgroup often overlooked in routine clinical care.
This study has several limitations. First, the relatively small sample size (n = 32), heterogeneous distribution of tumor subsites (larynx 56.3%, oral cavity 21.9%, other 21.8%), range of treatment indications (definitive vs. adjuvant RT/CRT), and single-center design limit the generalizability of these findings. Additionally, the predominantly male cohort (81.3%) may reduce applicability to female HNC patients, in whom body composition thresholds for muscle depletion may differ. Second, total energy and protein intake from all dietary sources were not formally quantified. Although weekly structured interviews included a 24-hour dietary recall and pragmatic adherence assessment, the accuracy of patient-reported supplement consumption is subject to recall bias. Third, although C3-based measurements were performed using a standardized protocol with high reproducibility, local RT-related tissue changes may partially influence neck-level muscle estimates. Fourth, the absence of a control group precludes definitive conclusions regarding the effectiveness of nutritional support in mitigating malnutrition progression. Finally, given the small number of patients within each GLIM subgroup, subgroup-level findings should be interpreted as exploratory.
Future studies with larger cohorts and more robust methodologies are needed to validate these findings and explore the utility of GLIM criteria in predicting long-term clinical outcomes.
In conclusion, our findings revealed deterioration in anthropometrics, C3 CSMA, and NRS-2002 scores along with no change or even deterioration in baseline malnourished status according to GLIM in most HNC patients under anticancer treatment. Although all patients received standardized ONS prescription and weekly monitoring, progression of malnutrition was still observed during treatment. This likely reflects the complex multifactorial nature of nutritional decline in HNC, where treatment-related symptoms, inflammation, and catabolic stress may overcome nutritional interventions, particularly when nutritional intake cannot be strictly quantified in routine outpatient settings. NRS-2002 scores were significantly correlated with GLIM-based stages at baseline and the relationship between the two tests also maintained its significance over time, whereas neither GLIM stages nor NRS-2002 scores were associated with SMM parameters (C3 CSMA and skeletal mass index) within the short observation period. These findings suggest that anthropometric and clinical screening tools remain central in early nutritional monitoring, while the role of C3-based measurements requires further validation in larger studies with longer follow-up.
Acknowledgements
The authors thank the radiation oncology staff involved in patient care and data collection. No individuals who meet the criteria for authorship were omitted.
Ethical approval
This study was approved by the Gazi University Ethics Committee (Date: March 16, 2020, Decision/Protocol No: 452). Informed consent was obtained from all participants involved in this study.
Data availability statement
The data that support the findings of this study are available from the corresponding author upon reasonable requests subject to institutional regulations and applicable ethical/privacy restrictions.
Conflict of interest
The authors declare the following potential conflict of interest: M.A. reports a relationship with Turkish Society for Radiation Oncology (TROD) that includes: unpaid Board Member.
Funding
The authors declare that this study received no funding.
Generative AI statement
The authors declare that during the preparation of this study, the following AI-assisted technology was used: ChatGPT-5, OpenAI on 18/12/2025. Extent of Use: AI-assisted technology was used only for language editing, grammar and clarity improvement, and proofreading. It was not used for study conception or design, data collection, data extraction, statistical analysis, data interpretation, figure generation, or creation of scientific conclusions. All AI-assisted suggestions were critically reviewed and edited by the authors, who take full responsibility for the integrity, accuracy, originality, and final content of the manuscript. The authors confirm that they have critically reviewed and edited any AI-generated content and take full responsibility for the integrity, accuracy, and originality of the publication. The authors certify that the original human contribution is maintained and that AI-assisted tools are not listed or cited as authors.
References
- Almada-Correia I, Neves PM, Mäkitie A, Ravasco P. Body composition evaluation in head and neck cancer patients: a review. Front Oncol. 2019;9:1112. https://doi.org/10.3389/fonc.2019.01112
- Alshadwi A, Nadershah M, Carlson ER, Young LS, Burke PA, Daley BJ. Nutritional considerations for head and neck cancer patients: a review of the literature. J Oral Maxillofac Surg. 2013;71(11):1853-1860. https://doi.org/10.1016/j.joms.2013.04.028
- Jackson W, Alexander N, Schipper M, Fig L, Feng F, Jolly S. Characterization of changes in total body composition for patients with head and neck cancer undergoing chemoradiotherapy using dual-energy x-ray absorptiometry. Head Neck. 2014;36(9):1356-1362. https://doi.org/10.1002/hed.23461
- Prado CM, Cushen SJ, Orsso CE, Ryan AM. Sarcopenia and cachexia in the era of obesity: clinical and nutritional impact. Proc Nutr Soc. 2016;75(2):188-198. https://doi.org/10.1017/S0029665115004279
- Martin L, Birdsell L, Macdonald N, et al. Cancer cachexia in the age of obesity: skeletal muscle depletion is a powerful prognostic factor, independent of body mass index. J Clin Oncol. 2013;31(12):1539-1547. https://doi.org/10.1200/JCO.2012.45.2722
- Shen W, Punyanitya M, Wang Z, et al. Total body skeletal muscle and adipose tissue volumes: estimation from a single abdominal cross-sectional image. J Appl Physiol. 2004;97(6):2333-2338. https://doi.org/10.1152/japplphysiol.00744.2004
- Swartz JE, Pothen AJ, Wegner I, et al. Feasibility of using head and neck CT imaging to assess skeletal muscle mass in head and neck cancer patients. Oral Oncol. 2016;62:28-33. https://doi.org/10.1016/j.oraloncology.2016.09.006
- Bril SI, Chargi N, Wendrich AW, et al. Validation of skeletal muscle mass assessment at the level of the third cervical vertebra in patients with head and neck cancer. Oral Oncol. 2021;123:105617. https://doi.org/10.1016/j.oraloncology.2021.105617
- Cederholm T, Jensen GL, Correia MITD, et al. GLIM criteria for the diagnosis of malnutrition - A consensus report from the global clinical nutrition community. Clin Nutr. 2019;38(1):1-9. https://doi.org/10.1016/j.clnu.2018.08.002
- Steer B, Loeliger J, Edbrooke L, Deftereos I, Laing E, Kiss N. Malnutrition prevalence according to the GLIM criteria in head and neck cancer patients undergoing cancer treatment. Nutrients. 2020;12(11):3493. https://doi.org/10.3390/nu12113493
- Keller H, de van der Schueren MAE, GLIM Consortium , et al. Global leadership initiative on malnutrition (GLIM): Guidance on validation of the operational criteria for the diagnosis of protein-energy malnutrition in adults. JPEN J Parenter Enteral Nutr. 2020;44(6):992-1003. https://doi.org/10.1002/jpen.1806
- Einarsson S, Karlsson HE, Björ O, Haylock AK, Tiblom Ehrsson Y. Mapping impact factors leading to the GLIM diagnosis of malnutrition in patients with head and neck cancer. Clin Nutr ESPEN. 2020;40:149-155. https://doi.org/10.1016/j.clnesp.2020.09.174
- Einarsson S, Laurell G, Tiblom Ehrsson Y. Mapping the frequency of malnutrition in patients with head and neck cancer using the GLIM criteria for the diagnosis of malnutrition. Clin Nutr ESPEN. 2020;37:100-106. https://doi.org/10.1016/j.clnesp.2020.03.011
- Garg S, Yoo J, Winquist E. Nutritional support for head and neck cancer patients receiving radiotherapy: a systematic review. Support Care Cancer. 2010;18(6):667-677. https://doi.org/10.1007/s00520-009-0686-3
- Akmansu M, Kilic D, Akyurek S, et al. Screening for nutritional status in radiation oncology outpatients: TROD 12-01 study. Turk J Oncol 2022;37:321-328. https://doi.org/10.5505/tjo.2022.3509
- Kubrak C, Martin L, Gramlich L, et al. Prevalence and prognostic significance of malnutrition in patients with cancers of the head and neck. Clin Nutr. 2020;39(3):901-909. https://doi.org/10.1016/j.clnu.2019.03.030
- Kaźmierczak-Siedlecka K, Skonieczna-Żydecka K, Folwarski M, Ruszkowski J, Świerblewski M, Makarewicz W. Influence of malnutrition stage according to GLIM 2019 criteria and SGA on the quality of life of patients with advanced cancer. Nutr Hosp. 2020;37(6):1179-1185. https://doi.org/10.20960/nh.03185
- Kakavas S, Karayiannis D, Bouloubasi Z, et al. Global leadership initiative on malnutrition criteria predict pulmonary complications and 90-day mortality after major abdominal surgery in cancer patients. Nutrients. 2020;12(12):3726. https://doi.org/10.3390/nu12123726
- Cederholm T, Krznaric Z, Pirlich M. Diagnosis of malnutrition in patients with gastrointestinal diseases: recent observations from a global leadership initiative on malnutrition perspective. Curr Opin Clin Nutr Metab Care. 2020;23(5):361-366. https://doi.org/10.1097/MCO.0000000000000678
- Marshall KM, Loeliger J, Nolte L, Kelaart A, Kiss NK. Prevalence of malnutrition and impact on clinical outcomes in cancer services: a comparison of two time points. Clin Nutr. 2019;38(2):644-651. https://doi.org/10.1016/j.clnu.2018.04.007
- Silva FRDM, de Oliveira MGOA, Souza ASR, Figueroa JN, Santos CS. Factors associated with malnutrition in hospitalized cancer patients: a cross-sectional study. Nutr J. 2015;14:123. https://doi.org/10.1186/s12937-015-0113-1
- Bossola M. Nutritional interventions in head and neck cancer patients undergoing chemoradiotherapy: a narrative review. Nutrients. 2015;7(1):265-276. https://doi.org/10.3390/nu7010265
- Cereda E, Cappello S, Colombo S, et al. Nutritional counseling with or without systematic use of oral nutritional supplements in head and neck cancer patients undergoing radiotherapy. Radiother Oncol. 2018;126(1):81-88. https://doi.org/10.1016/j.radonc.2017.10.015
- Isenring E, Capra S, Bauer J. Patient satisfaction is rated higher by radiation oncology outpatients receiving nutrition intervention compared with usual care. J Hum Nutr Diet. 2004;17(2):145-152. https://doi.org/10.1111/j.1365-277X.2004.00502.x
- Isenring EA, Bauer JD, Capra S. Nutrition support using the American Dietetic Association medical nutrition therapy protocol for radiation oncology patients improves dietary intake compared with standard practice. J Am Diet Assoc. 2007;107(3):404-412. https://doi.org/10.1016/j.jada.2006.12.007
- McCarter K, Baker AL, Britton B, et al. Head and neck cancer patient experience of a new dietitian-delivered health behaviour intervention: ‘you know you have to eat to survive’. Support Care Cancer. 2018;26(7):2167-2175. https://doi.org/10.1007/s00520-017-4029-5
- Trotti A. Toxicity in head and neck cancer: a review of trends and issues. Int J Radiat Oncol Biol Phys. 2000;47(1):1-12. https://doi.org/10.1016/s0360-3016(99)00558-1
- Pandit P, Patil R, Palwe V, Yasam VR, Nagarkar R. Predictors of weight loss in patients with head and neck cancer receiving radiation or concurrent chemoradiation treated at a tertiary cancer center. Nutr Clin Pract. 2020;35(6):1047-1052. https://doi.org/10.1002/ncp.10488
- Alhambra Expósito MR, Herrera-Martínez AD, Manzano García G, Espinosa Calvo M, Bueno Serrano CM, Gálvez Moreno MÁ. Early nutrition support therapy in patients with head-neck cancer. Nutr Hosp. 2018;35:505-510. https://doi.org/10.20960/nh.1560
- Wendrich AW, Swartz JE, Bril SI, et al. Low skeletal muscle mass is a predictive factor for chemotherapy dose-limiting toxicity in patients with locally advanced head and neck cancer. Oral Oncol. 2017;71:26-33. https://doi.org/10.1016/j.oraloncology.2017.05.012
- Yoon JK, Jang JY, An YS, Lee SJ. Skeletal muscle mass at C3 may not be a strong predictor for skeletal muscle mass at L3 in sarcopenic patients with head and neck cancer. PLoS One. 2021;16(7):e0254844. https://doi.org/10.1371/journal.pone.0254844
- van Leeuwen-Segarceanu EM, Dorresteijn LDA, Pillen S, Biesma DH, Vogels OJM, van Alfen N. Progressive muscle atrophy and weakness after treatment by mantle field radiotherapy in Hodgkin lymphoma survivors. Int J Radiat Oncol Biol Phys. 2012;82(2):612-618. https://doi.org/10.1016/j.ijrobp.2010.11.064
- Nichol AM, Smith SL, D’yachkova Y, et al. Quantification of masticatory muscle atrophy after high-dose radiotherapy. Int J Radiat Oncol Biol Phys. 2003;56(4):1170-1179. https://doi.org/10.1016/s0360-3016(03)00118-4
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