Abstract
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.
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Introduction
Malnutrition and frailty are serious health conditions, each commonly present in patients diagnosed with head and neck cancer (HNC) [1,2,3]. Both conditions are associated with adverse treatment outcomes, such as radiation-induced toxicity, postoperative complications, mortality, and poorer quality of life [4,5,6,7,8]. A combination of patient- and tumor-related factors typically associated with HNC is responsible for the high prevalence of malnutrition and frailty. For example, swallowing problems and pain in the upper aero-digestive tract as consequence of the tumor localization often lead to insufficient oral intake, unintentional weight loss and sarcopenia, especially in patients with mucosal HNC [1, 9,10,11]. Furthermore, tobacco use and alcohol use are the main risk factors for the development of HNC, but also cause comorbidities, like COPD and liver cirrhosis in these patients [12]. Each of these factors are associated with frailty.
In several patient populations, coexistence and interaction between malnutrition and frailty has been demonstrated, indicating that these conditions share common physical, social, and psychological risk factors [11, 13, 14]. Frailty has been defined as ‘a dynamic state affecting an individual who experiences losses in one or more domains of human functioning (physical, psychological, and social), which is caused by the influence of a range of variables and which increases the risk of adverse outcomes’ [15]. Frail individuals have an increased risk of losing independency in daily activities and an increased risk of mortality. Frailty can be potentially preventable and/or treatable, for example, by nutritional and physical activity interventions [16].
In The Netherlands, screening for malnutrition risk and frailty is routine in the hospital setting, to identify patients who may benefit from nutritional assessment and intervention before and during treatment [17]. To further improve the care pathways around the patients with HNC with multidimensional problems, we aimed to determine the coexistence of, and association between malnutrition risk and frailty.
Materials and methods
Study design and ethics
Since 2014, all newly diagnosed patients with HNC in the multidisciplinary head and neck oncological team of the University Medical Center Groningen (UMCG) were included in OncoLifeS, i.e., a data biobank which has been approved by the Medical Ethical Committee (UMCG METC approval 2010/109) and complies with the General Data Protection Regulation as stated by the European Union. Patients were enrolled after providing written informed consent. Data were selected from the OncolifeS data biobank, from patients included between August 2015 and January 2017. The study protocol was approved by the Scientific Board of OncoLifeS. The study is conducted in accordance with the current version of the Declaration of Helsinki.
Study population and data collection
Two groups of patients were included. The first group consisted of patients with mucosal tumors in the upper digestive tract-like oral cavity, oropharyngeal, hypopharyngeal, and laryngeal malignancies. The second group consisted of patients with skin malignancies in the head and neck area. These two groups were distinguished, because the tumor often interferes with food intake in the group with mucosal tumors. During the diagnostic work-up, every patient filled out a set of questionnaires regarding demographic characteristics, comorbidities, smoking and alcohol use, socio-economic factors, cognitive functioning, frailty, and nutritional risk with the assistance of a healthcare professional.
Variables
Malignancies were staged using the seventh edition of the TNM Classification of Malignant Tumors from the Union for International Cancer Control. Tumor type was categorized as follows: (1) mucosal, i.e., patients with mucosal squamous cell carcinoma of the oral cavity, oropharynx, and hypopharynx, larynx and (2) cutaneous, i.e., patients with a malignancy of the skin in the head and neck area. Comorbidities were assessed using the Adult Comorbidity Evaluation (ACE)-27, which categorizes patients with none, mild, moderate, or severe comorbidities based on 27 predefined items [18]. Cognitive functioning was assessed with the Mini-Mental State Examination (MMSE), in which cognitive impairment was defined by a score ≤ 24 [19].
Malnutrition risk and frailty
The Dutch version of the Patient-Generated Subjective Global Assessment Short Form (PG-SGA SF) (version 3.7) was used to screen for malnutrition risk [20]. The PG-SGA SF is the patient component of the full PG-SGA, which is the reference method for nutritional assessment in patients with cancer [21]. The PG-SGA SF includes four boxes addressing weight history (Box 1), food intake (Box 2), nutrition impact symptoms (NIS), i.e., symptoms interfering with oral intake (Box 3), and activities and function (Box 4). PG-SGA SF total score ranges from 0 to 36. Patients with a score ≤ 3 were defined as low, ≥ 4 and ≤ 8 as medium, and ≥ 9 as high malnutrition risk [21, 22]. Patients with medium and high malnutrition risk were pooled and classified as ‘malnutrition risk’ for statistical analyses.
Frailty was assessed by the Groningen frailty indicator (GFI). The GFI consists of 15 questions regarding the following domains of life: daily activities, health problems, and psychosocial functioning, generating a score ranging from 0 to 15. Frailty was defined as a GFI score ≥ 4 [23].
Statistical analysis
Continuous variables are presented as mean ± standard deviation (SD) for normally distributed variables, and as median with interquartile range (IQR) for skewed or ordinal variables. Normality was tested by the Kolmogorov–Smirnov test. The exact binomial Clopper-–Pearson estimation method was used for prevalence numbers and their 95% confidence interval (95% CI) of frail patients to have malnutrition risk, and patients with malnutrition risk to be frail. Multivariate data imputation was performed for missing data on variables to detect any meaningful differences with the results obtained after casewise deletion [24]. Univariate and multivariate binary logistic regression analyses were used to determine associations between malnutrition risk and frailty. Binary logistic regression analysis was performed separately using malnutrition risk or frailty as dependent outcome variable, respectively. For multivariate logistic regression analyses, the minimum Akaike Information Criterion (min AIC) was used to select and compare models that best predict new outcomes to determine the regression method that would most appropriately model the association between the outcome and the explanatory variables [25, 26]. Two tailed p-values were used with significance set at p < 0.05. Associations were presented as odds ratios (ORs) with 95% CIs. Statistical analyses were performed using IBM SPSS version 23.0 (SPSS Inc., Chicago, IL, USA). The Venn diagram, min AIC, and the multivariate logistic regression were produced using R Studio version 1.2.5019.
Results
In total, 197 patients were included. Table 1 shows baseline characteristics of the patients. The mean age was 70.5 ± 11.5 years. The majority (68%) of patients was male. In total, 54 (27%) patients had medium malnutrition risk, 22 (11%) had high malnutrition risk, and 71 (36%) were frail.
Coexistence of malnutrition risk and frailty
Figure 1a–c shows proportional Venn diagrams of the coexistence of malnutrition risk and frailty. In total, 109 (55%) patients had malnutrition risk and/or were frail. Coexistence was present in 38 (19%) patients, while 38 (19%) patients had only malnutrition risk, and 33 (17%) patients were only frail. Almost half of the patients (n = 88, 45%) neither had malnutrition risk nor were frail.
Coexistence of malnutrition risk and frailty was found in 25 (21%) patients with mucosal HNC, and in 13 (17%) patients with cutaneous HNC. Solely malnutrition risk was present in almost one-third of patients with mucosal HNC (n = 35, 29%), and only in 3 (4%) patients with cutaneous HNC. Solely frailty was more often present in patients with cutaneous HNC (n = 19, 25%) compared to patients with mucosal HNC (n = 14, 12%). Moreover, absence of both malnutrition risk and frailty was more often present in patients with cutaneous HNC (n = 42, 55%) compared to patients with mucosal HNC (n = 46, 38%).
The exact binomial test with exact Clopper–Pearson 95% CI showed a prevalence of having malnutrition risk of 39% (95% CI 32–46%, p = 0.002) in frail patients. The prevalence of being frail was 36% (95% CI 29–43%, p < 0.001) in patients with malnutrition risk.
Univariate and multivariate analyses of factors associated with malnutrition risk and/or frailty
Results of univariate analyses are presented in Tables 2 and 3. Age was significantly associated with frailty, but not with malnutrition risk. Patients with moderate to severe comorbidities significantly more frequently had malnutrition risk and frailty. Having a partner decreased the odds of being frail. Alcohol use was associated with higher odds of malnutrition risk, but with decreased odds of being frail. Patients with mucosal HNC were—not significantly—less often frail compared to patients with cutaneous HNC. However, patients with mucosal HNC had 4.8 times more often medium or high malnutrition risk compared to patients with cutaneous HNC.
Table 2 demonstrates that after correction for age, alcohol use, marital status, and cognition, patients with medium and high malnutrition risk were 4.0 and 13.4 times more likely to be frail compared to patients with low malnutrition risk, respectively. Vice versa, Table 3 shows that frail patients were 6.0 times more likely at risk of malnutrition compared to non-frail patients, after correction for smoking status, alcohol use, marital status, and tumor type.
PG-SGA SF outcomes
The Supplementary file 1 shows scores on the PG-SGA SF for the study population and per frailty status.
Discussion
This study shows that malnutrition risk and frailty considerably coexist in patients with newly diagnosed HNC. The prevalence of malnutrition risk or frailty alone is comparable to the prevalence of coexistence of malnutrition risk and frailty, i.e., 19% and 17%, respectively. Malnutrition risk is strongly positively associated with being frail. Medium and high malnutrition risk is related to 4.0 and 13.4 times more chance of being frail, respectively. In turn, frail patients are 6.0 times more likely to have medium or high malnutrition risk.
This is the first study investigating the coexistence and association between malnutrition risk and frailty in patients with HNC. In populations of older adults, the coexistence varies between 8 and 33% [13, 27,28,29]. The coexistence of almost 20% in our study is within this range. In line with previous findings in other populations, prevalence of both conditions separately was also considerable in our population [13]. Moreover, our results are in line with previous findings showing that older adults with malnutrition risk have a higher risk of being frail, and vice versa [30, 31]. Unfortunately, comparable studies in HNC populations are not available. Furthermore, comparison of our results with previous research is hampered due to use of different instruments for assessment of malnutrition risk and frailty.
The prevalence of frailty in our HNC study population is comparable with previous findings. Reported prevalence of frailty in HNC patients largely varies, i.e., between 7 and 75% [32,33,34,35], possibly depending on the methods used to determine frailty. Lowest percentages were found in retrospective population-based studies on hospitals’ discharge data, while highest percentages were found in studies using prospective multidimensional frailty instruments. Previous results from a comparable cohort of HNC patients showed a frailty prevalence of 40% [36]. Unfortunately, comparison of our findings on prevalence of malnutrition risk with previous studies is hampered, as previous studies in patients with HNC assessed malnutrition by the full PG-SGA rather than malnutrition risk by the PG-SGA SF. In those studies, prevalence of malnutrition varied between 31 and 44% [10, 37,38,39]. The association between malnutrition risk and frailty in patients with mucosal HNC is less strong compared to the association between malnutrition risk and frailty in our total study population. Despite comparable frailty prevalence in the total study population and the population with mucosal HNC, the latter showed a higher prevalence of malnutrition risk. It is likely that the prominently present swallowing problems in patients with mucosal HNC due to the tumor localization [40] more often result in malnutrition risk, independent of frailty.
The current study shows that alcohol consumption is associated with greater risk of developing malnutrition risk. However, this association is not shown for frailty, in which alcohol consumption even seems protective for being frail. This protective association between alcohol consumption and frailty was also found in a systematic review and meta-analysis [41]. Although the underlying mechanisms for a lower risk of frailty among alcohol consumers compared to non/past drinkers is not clear, it is possible that individuals who consume alcohol also have a stronger social network and stronger social support, which can prevent social isolation and therefore frailty [42].
A limitation of this study is the relatively small sample size, both for the whole study population and for the two subgroups, i.e., patients with mucosal tumors and patients with cutaneous tumors. As result, it was not possible to perform multivariate analyses per patient group. We countered this limitation by including the tumor type in the multivariate analysis.
Based on the current study, several clinical implications and recommendations can be formulated. First, malnutrition risk and frailty both need to be proactively screened for in patients with HNC, since both conditions not only coexist, but also separately occur in these patients. Although patients with mucosal HNC show the highest prevalence of malnutrition risk and frailty, screening for malnutrition risk in patients with complex cutaneous HNC is also relevant, since still one out of five of these patients has medium-to-high malnutrition risk. Screening for both conditions will identify different types of health-related problems per individual and may guide starting different interventions, e.g., nutritional interventions for patients with malnutrition or psychosocial support for frail patients, to optimize the patient’s pretreatment condition. Patients who remain malnourished and/or frail during and after cancer treatment are at risk of body tissue catabolism and wound healing disorders. These adverse advents can lead to a non-optimal treatment, making the already burdensome oncology treatment even harder for patients and can also lead to decreased overall survival [6, 40, 43]. Furthermore, previous studies in the same patient cohort as in the current study showed that medium malnutrition risk and frailty in patients undergoing surgery were both associated with postoperative complications [8]. Pretreatment medium-to-high malnutrition risk and frailty and were also associated with a decline in post-treatment quality of life [7, 44]. These findings also highlight the importance to screen patients with HNC for both conditions. Second, we recommend to screen for malnutrition risk and frailty to create awareness amongst healthcare professionals and patients [45] for potentially treatable factors. Frailty is a dynamic concept and the process of frailty can possibly be reversed [16]. Previous research has shown that nutritional status is prone to further deterioration during HNC treatment [46]. However, more research is needed to gain insight in the development of frailty during the course from diagnosis to rehabilitation and on the effect of specific supportive treatment that might lead to possibly reversing the patients’ frailty status.
Conclusion
This study demonstrates considerable coexistence and an association between malnutrition risk and frailty in newly diagnosed patients with HNC, but also shows that both conditions considerably occur separately in these patients. Our findings highlight the importance of screening for both conditions in these patients at diagnosis. To potentially reverse malnutrition risk and frailty, targeted interventions are required.
Availability of data and materials
The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
Abbreviations
- HNC:
-
Head and neck cancer
- COPD:
-
Chronic obstructive pulmonary disease
- UMCG:
-
University Medical Center Groningen
- ACE-27:
-
Adult comorbidity evaluation 27
- MMSE:
-
Mini-mental state examination
- GFI:
-
Groningen Frailty Indicator
- PG-SGA SF:
-
Patient-Generated Subjective Global Assessment Short Form
- TNM:
-
Tumor, node, metastasis
- NIS:
-
Nutritional impact symptoms
- SD:
-
Standard deviation
- IQR:
-
Interquartile range
- OR:
-
Odds ratio
- Min AIC:
-
Minimum Akaike Information Criterion
- 95% CI:
-
95% Confidence interval
- BMI:
-
Body mass index
References
Jager-Wittenaar H, Dijkstra PU, Vissink A, van der Laan BFAM, van Oort RP, Roodenburg JLN (2007) Critical weight loss in head and neck cancer–prevalence and risk factors at diagnosis: an explorative study. Support Care Cancer 15:1045–1050. https://doi.org/10.1007/s00520-006-0212-9
Alshadwi A, Nadershah M, Carlson ER, Young LS, Burke PA, Daley BJ (2013) Nutritional considerations for head and neck cancer patients: a review of the literature. J Oral Maxillofac Surg 71:1853–1860. https://doi.org/10.1016/j.joms.2013.04.028
Bras L, Driessen DAJJ, de Vries J, Festen S, van der Laan BFAM, van Leeuwen BL et al (2020) Patients with head and neck cancer: Are they frailer than patients with other solid malignancies? Eur J Cancer Care (Engl) 29:e13170. https://doi.org/10.1111/ecc.13170
Kono T, Sakamoto K, Shinden S, Ogawa K (2017) Pre-therapeutic nutritional assessment for predicting severe adverse events in patients with head and neck cancer treated by radiotherapy. Clin Nutr 36:1681–1685. https://doi.org/10.1016/j.clnu.2016.10.021
van Deudekom FJ, van der Velden L-A, Zijl WH, Schimberg AS, Langeveld AP, Slingerland M et al (2019) Geriatric assessment and 1-year mortality in older patients with cancer in the head and neck region: A cohort study. Head Neck 41:2477–2483. https://doi.org/10.1002/hed.25714
Jager-Wittenaar H, Dijkstra PU, Vissink A, van der Laan BFAM, van Oort RP, Roodenburg JLN (2011) Malnutrition and quality of life in patients treated for oral or oropharyngeal cancer. Head Neck 33:490–496. https://doi.org/10.1002/hed.21473
de Vries J, Bras L, Sidorenkov G, Festen S, Steenbakkers RJHM, Langendijk JA et al (2021) Association of deficits identified by geriatric assessment with deterioration of health-related quality of life in patients treated for head and neck cancer. JAMA Otolaryngol Head Neck Surg 147:1089–1099. https://doi.org/10.1001/jamaoto.2021.2837
Bras L, de Vries J, Festen S, Steenbakkers RJHM, Langendijk JA, Witjes MJH et al (2021) 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. Oral Oncol 118:105329. https://doi.org/10.1016/j.oraloncology.2021.105329
Righini C-A, Timi N, Junet P, Bertolo A, Reyt E, Atallah I (2013) Assessment of nutritional status at the time of diagnosis in patients treated for head and neck cancer. Eur Ann Otorhinolaryngol Head Neck Dis 130:8–14. https://doi.org/10.1016/j.anorl.2012.10.001
Kubrak C, Olson K, Jha N, Jensen L, McCargar L, Seikaly H et al (2010) Nutrition impact symptoms: key determinants of reduced dietary intake, weight loss, and reduced functional capacity of patients with head and neck cancer before treatment. Head Neck 32:290–300. https://doi.org/10.1002/hed.21174
Laur Cv, McNicholl T, Valaitis R, Keller HH (2017) Malnutrition or frailty? Overlap and evidence gaps in the diagnosis and treatment of frailty and malnutrition. Appl Physiol Nutr Metab 42:449–458. https://doi.org/10.1139/apnm-2016-0652
Paleri V, Wight RG, Silver CE, Haigentz M, Takes RP, Bradley PJ et al (2010) Comorbidity in head and neck cancer: a critical appraisal and recommendations for practice. Oral Oncol 46:712–719. https://doi.org/10.1016/j.oraloncology.2010.07.008
Boulos C, Salameh P, Barberger-Gateau P (2016) Malnutrition and frailty in community dwelling older adults living in a rural setting. Clin Nutr 35:138–143. https://doi.org/10.1016/j.clnu.2015.01.008
Ligthart-Melis GC, Luiking YC, Kakourou A, Cederholm T, Maier AB, de van der Schueren MAE (2020) Frailty, sarcopenia, and malnutrition frequently (Co-)occur in hospitalized older adults: a systematic review and meta-analysis. J Am Med Dir Assoc 21:1216–1228. https://doi.org/10.1016/j.jamda.2020.03.006
Gobbens RJJ, Luijkx KG, Wijnen-Sponselee MT, Schols JMGA (2010) Towards an integral conceptual model of frailty. J Nutr Health Aging 14:175–181. https://doi.org/10.1007/s12603-010-0045-6
Marcucci M, Damanti S, Germini F, Apostolo J, Bobrowicz-Campos E, Gwyther H et al (2019) Interventions to prevent, delay or reverse frailty in older people: a journey towards clinical guidelines. BMC Med 17:193. https://doi.org/10.1186/s12916-019-1434-2
Nederlands Vereniging van Ziekenhuizen NF van UMC. VMS. https://www.vmszorg.nl/wp-content/uploads/2017/11/web_2009.0104_praktijkgids_kwetsbare_ouderen.pdf. Accessed 18 May 2022
Piccirillo JF, Tierney RM, Costas I, Grove L, Spitznagel EL (2004) Prognostic importance of comorbidity in a hospital-based cancer registry. JAMA 291:2441–2447. https://doi.org/10.1001/jama.291.20.2441
van der Cammen TJ, van Harskamp F, Stronks DL, Passchier J, Schudel WJ (1992) Value of the Mini-Mental State Examination and informants’ data for the detection of dementia in geriatric outpatients. Psychol Rep 71:1003–1009. https://doi.org/10.2466/pr0.1992.71.3.1003
Sealy MJ, Haß U, Ottery FD, van der Schans CP, Roodenburg JLN, Jager-Wittenaar H (2018) Translation and cultural adaptation of the scored patient-generated subjective global assessment: an Interdisciplinary Nutritional Instrument Appropriate for Dutch Cancer Patients. Cancer Nurs 41:450–462. https://doi.org/10.1097/NCC.0000000000000505
Jager-Wittenaar H, Ottery FD (2017) Assessing nutritional status in cancer: role of the Patient-Generated Subjective Global Assessment. Curr Opin Clin Nutr Metab Care 20:322–329. https://doi.org/10.1097/MCO.0000000000000389
ter Beek L, Banning LBD, Visser L, Roodenburg JLN, Krijnen WP, van der Schans CP et al (2018) Risk for malnutrition in patients prior to vascular surgery. Am J Surg 216:534–539. https://doi.org/10.1016/j.amjsurg.2017.11.038
Schuurmans H, Steverink N, Lindenberg S, Frieswijk N, Slaets JPJ (2004) Old or frail: what tells us more? J Gerontol A Biol Sci Med Sci 59:M962–M965. https://doi.org/10.1093/gerona/59.9.m962
Hettiarachchi J, Reijnierse EM, Soh CH, Agius B, Fetterplace K, Lim WK et al (2021) Malnutrition is associated with poor trajectories of activities of daily living in geriatric rehabilitation inpatients: RESORT. Mech Ageing Dev 197:111500. https://doi.org/10.1016/j.mad.2021.111500
Akaike H (1974) A new look at the statistical model identification. IEEE Trans Autom Control 19:716–723. https://doi.org/10.1109/TAC.1974.1100705
Konishi S, Kitagawa G (2008) Information criteria and statistical modeling. Springer, New York, New York. https://doi.org/10.1007/978-0-387-71887-3
Gingrich A, Volkert D, Kiesswetter E, Thomanek M, Bach S, Sieber CC et al (2019) Prevalence and overlap of sarcopenia, frailty, cachexia and malnutrition in older medical inpatients. BMC Geriatr 19:120. https://doi.org/10.1186/s12877-019-1115-1
ter Beek L, van der Vaart H, Wempe JB, Krijnen WP, Roodenburg JLN, van der Schans CP et al (2020) Coexistence of malnutrition, frailty, physical frailty and disability in patients with COPD starting a pulmonary rehabilitation program. Clin Nutr 39:2557–2563. https://doi.org/10.1016/j.clnu.2019.11.016
Dorner TE, Luger E, Tschinderle J, Stein Kv, Haider S, Kapan A et al (2014) Association between nutritional status (MNA®-SF) and frailty (SHARE-FI) in acute hospitalised elderly patients. J Nutr Health Aging 18:264–269. https://doi.org/10.1007/s12603-013-0406-z
Chye L, Wei K, Nyunt MSZ, Gao Q, Wee SL, Ng TP (2018) Strong relationship between malnutrition and cognitive frailty in the Singapore Longitudinal Ageing Studies (SLAS-1 and SLAS-2). J Prev Alzheimers Dis 5:142–148. https://doi.org/10.14283/jpad.2017.46
Kim J, Lee Y, Won CW, Lee KE, Chon D (2018) Nutritional status and frailty in community-dwelling older korean adults: the Korean Frailty and Aging Cohort Study. J Nutr Health Aging 22:774–778. https://doi.org/10.1007/s12603-018-1005-9
Nieman CL, Pitman KT, Tufaro AP, Eisele DW, Frick KD, Gourin CG (2018) The effect of frailty on short-term outcomes after head and neck cancer surgery. Laryngoscope 128:102–110. https://doi.org/10.1002/lary.26735
Pottel L, Lycke M, Boterberg T, Pottel H, Goethals L, Duprez F et al (2014) Serial comprehensive geriatric assessment in elderly head and neck cancer patients undergoing curative radiotherapy identifies evolution of multidimensional health problems and is indicative of quality of life. Eur J Cancer Care (Engl) 23:401–412. https://doi.org/10.1111/ecc.12179
Pitts KD, Arteaga AA, Stevens BP, White WC, Su D, Spankovich C et al (2019) Frailty as a predictor of postoperative outcomes among patients with head and neck cancer. Otolaryngol Head Neck Surg 160:664–671. https://doi.org/10.1177/0194599818825466
Kwon M, Kim S-A, Roh J-L, Lee S-W, Kim S-B, Choi S-H et al (2016) An introduction to a head and neck cancer-specific frailty index and its clinical implications in elderly patients: a prospective observational study focusing on respiratory and swallowing functions. Oncologist 21:1091–1098. https://doi.org/10.1634/theoncologist.2016-0008
Bras L, Peters TTA, Wedman J, Plaat BEC, Witjes MJH, van Leeuwen BL et al (2015) Predictive value of the Groningen Frailty Indicator for treatment outcomes in elderly patients after head and neck, or skin cancer surgery in a retrospective cohort. Clin Otolaryngol 40:474–482. https://doi.org/10.1111/coa.12409
Capuano G, Gentile PC, Bianciardi F, Tosti M, Palladino A, di Palma M (2010) Prevalence and influence of malnutrition on quality of life and performance status in patients with locally advanced head and neck cancer before treatment. Support Care Cancer 18:433–437. https://doi.org/10.1007/s00520-009-0681-8
Isenring E, Bauer J, Capra S (2003) The scored Patient-generated Subjective Global Assessment (PG-SGA) and its association with quality of life in ambulatory patients receiving radiotherapy. Eur J Clin Nutr 57:305–309. https://doi.org/10.1038/sj.ejcn.1601552
Arribas L, Hurtós L, Milà R, Fort E, Peiró I (2013) Predict factors associated with malnutrition from patient generated subjective global assessment (PG-SGA) in head and neck cancer patients. Nutr Hosp 28:155–163. https://doi.org/10.3305/nh.2013.28.1.6168
Jager-Wittenaar H, Dijkstra PU, Vissink A, van Oort RP, van der Laan BFAM, Roodenburg JLN (2011) Malnutrition in patients treated for oral or oropharyngeal cancer–prevalence and relationship with oral symptoms: an explorative study. Support Care Cancer 19:1675–1683. https://doi.org/10.1007/s00520-010-1001-z
Kojima G, Liljas A, Iliffe S, Jivraj S, Walters K (2018) A systematic review and meta-analysis of prospective associations between alcohol consumption and incident frailty. Age Ageing 47:26–34. https://doi.org/10.1093/ageing/afx086
Sayette MA, Creswell KG, Dimoff JD, Fairbairn CE, Cohn JF, Heckman BW et al (2012) Alcohol and group formation: a multimodal investigation of the effects of alcohol on emotion and social bonding. Psychol Sci 23:869–878. https://doi.org/10.1177/0956797611435134
Noor A, Gibb C, Boase S, Hodge J-C, Krishnan S, Foreman A (2018) Frailty in geriatric head and neck cancer: a contemporary review. Laryngoscope 128:E416–E424. https://doi.org/10.1002/lary.27339
de Vries J, Bras L, Sidorenkov G, Festen S, Steenbakkers RJHM, Langendijk JA et al (2020) Frailty is associated with decline in health-related quality of life of patients treated for head and neck cancer. Oral Oncol 111:105020. https://doi.org/10.1016/j.oraloncology.2020.105020
Jager-Wittenaar H, de Bats HF, Welink-Lamberts BJ, Gort-van Dijk D, van der Laan BFAM, Ottery FD et al (2020) Self-completion of the patient-generated subjective global assessment short form is feasible and is associated with increased awareness on malnutrition risk in patients with head and neck cancer. Nutr Clin Pract 35:353–362. https://doi.org/10.1002/ncp.10313
Jager-Wittenaar H, Dijkstra PU, Vissink A, Langendijk JA, van der Laan BFAM, Pruim J et al (2011) Changes in nutritional status and dietary intake during and after head and neck cancer treatment. Head Neck 33:863–870. https://doi.org/10.1002/hed.21546
Acknowledgements
The authors thank the patients for participating in the study, and the medical administration and nurses from the Department of Otorhinolaryngology/Head and Neck Surgery of the UMCG for their help with the data collection.
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This research was not supported by any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
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H. Jager-Wittenaar was co-developer of the Patient-Generated Subjective Global Assessment (PG-SGA)-based Pt-Global web tool. All other authors: None declared.
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Dewansingh, P., Bras, L., ter Beek, L. et al. Malnutrition risk and frailty in head and neck cancer patients: coexistent but distinct conditions. Eur Arch Otorhinolaryngol 280, 1893–1902 (2023). https://doi.org/10.1007/s00405-022-07728-6
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DOI: https://doi.org/10.1007/s00405-022-07728-6