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Article

Association of Percutaneous Endoscopic Gastrostomy (PEG) Tube Placement with Unplanned Hospitalization for Head and Neck Cancer

1
Department of Radiation Oncology, The Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, The Ohio State University Comprehensive Cancer Center, 460 W 10th Ave, Columbus, OH 43210, USA
2
Department of Radiation Medicine, Roswell Park Comprehensive Cancer Center, 665 Elm Street, Buffalo, NY 14203, USA
3
Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, 955 Main Street, Buffalo, NY 14203, USA
4
Department of Biochemistry and Molecular Biology, Tulane University School of Medicine, 1430 Tulane Ave, New Orleans, LA 70112, USA
5
University at Buffalo, The State University of New York, 12 Capen Hall, Buffalo, NY 14260, USA
6
Department of Statistics & Data Science, Cornell University, 1198 Comstock Hall, Ithaca, NY 14853, USA
7
Department of Head & Neck/Plastic & Reconstructive Surgery, Roswell Park Comprehensive Cancer Center, 665 Elm Street, Buffalo, NY 14203, USA
8
Department of Oral and Maxillofacial Surgery, School of Dental Medicine, University at Buffalo, The State University of New York, 3435 Main Street, Buffalo, NY 14214, USA
*
Author to whom correspondence should be addressed.
Cancers 2025, 17(13), 2066; https://doi.org/10.3390/cancers17132066
Submission received: 10 May 2025 / Revised: 17 June 2025 / Accepted: 18 June 2025 / Published: 20 June 2025
(This article belongs to the Section Cancer Survivorship and Quality of Life)

Simple Summary

This study aims to answer the following question: are there differences in the outcomes among head and neck cancer patients with prophylactic versus therapeutic percutaneous endoscopic gastrostomy (PEG) tubes? We found that unplanned hospitalizations were associated with poor survival, but not oncologic outcomes. Compared to patients with a prophylactic PEG tube, those without a PEG tube were less likely to be hospitalized, while others with a therapeutic PEG tube were more likely to be hospitalized. These results indicate that unplanned hospitalization is an independent, adverse prognostic factor for poor survival. The hospitalization incidence was the lowest among those who never needed PEG tubes, while those with therapeutic PEG tubes were most likely to be hospitalized.

Abstract

Background/Objectives: There is a varying need for nutritional support among head and neck cancer (HNC) patients. Unplanned hospitalization is frequent with definitive chemoradiation. However, the association of unplanned hospitalizations with cancer control outcomes and percutaneous endoscopic gastrostomy (PEG) tube placement is not well-understood. This study aims to evaluate the clinical outcomes stratified by unplanned hospitalizations and to identify the prognostic factors associated with unplanned hospitalizations. Methods: This retrospective cohort study included 657 HNC patients treated with definitive chemoradiation at a single institution between 2007 and 2023. Relevant clinical data were evaluated for unplanned hospitalizations, prophylactic vs. therapeutic PEG tube placement, and clinical outcomes. Multivariable, subgroup, and matched-pair analyses were performed to account for potential confounding variables. The main outcomes and measures used are overall survival (OS), progression-free survival (PFS), locoregional failure (LRF), distant failure (DF), and incidence of unplanned hospitalization. Results: Unplanned hospitalizations occurred in 190 (29%) patients, which were associated with worse OS (adjusted hazards ratio [aHR] of 2.07, 95% confidence interval [CI] of 1.53–2.81, p < 0.001) and progression-free survival (aHR 1.83, 95% CI 1.38–2.41, p < 0.001). However, hospitalizations were not associated with LRF or DF outcomes. Similar findings were noted on 180 matched pairs as well as subgroups stratified by p16 status. In addition, when compared to patients with a prophylactic PEG tube, therapeutic PEG tube placement was associated with a higher risk of hospitalization (adjusted odds ratio [aOR] of 1.96, 95% CI 1.10–3.54, p = 0.02), while those without PEG tubes were less likely to be hospitalized (aOR 0.48, 95% CI 0.27–0.86, p = 0.01). Conclusions: Unplanned hospitalization was an independent, adverse prognostic factor for poor survival, but not oncologic outcomes. Unplanned hospitalization incidence was largely driven by those who required a therapeutic PEG tube, while it was the lowest for those who never needed a PEG tube.

1. Introduction

Even in the modern era of intensity-modulated radiation therapy (IMRT) routinely utilized for patients with head and neck cancer (HNC), nearly two thirds of these patients experience severe oral mucositis associated with unplanned hospitalization, weight loss, and frequent opioid use [1]. As a result, many studies suggest that having prophylactic percutaneous endoscopic gastrostomy (PEG) tubes may reduce risks of malnutrition and hospitalization, while minimizing treatment interruptions [2,3,4,5,6]. This contrasts with less than 10% of patients having a prophylactic PEG tube in a recent national cooperative group clinical trial [7]. The current cooperative-group phase III protocol (ClinicalTrials.gov ID: NCT05050162) and the Multinational Association of Supportive Care in Cancer (MASCC) guideline [8] did not specify algorithms for the use of prophylactic PEG tubes. The National Comprehensive Cancer Network (NCCN) guideline recommends an individualized approach for the use of prophylactic PEG tubes based on each patient’s functional and nutritional status at the treating physician’s discretion [9].
In addition to the differences in practice patterns regarding the use of prophylactic PEG tubes, many studies did not compare those with a therapeutic PEG tube versus others who did not need a PEG tube at all [2,3,4,5,6]. As a result, it remains unclear whether increased hospitalization rates were largely driven by a subset of patients without a PEG tube at baseline and how these rates were different from patients with a prophylactic PEG tube. Furthermore, the association between unplanned hospitalization and oncologic outcomes was not previously reported. To address this knowledge gap, we performed an observational cohort study to evaluate the association of unplanned hospitalization with clinical outcomes and PEG tube use.

2. Materials and Methods

Our study was reviewed and approved by the Institutional Review Board at the Roswell Park Comprehensive Cancer Center (EDR 103707), following the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guidelines.
Our single-institution database was queried for those diagnosed with non-metastatic HNC treated with definitive chemoradiation between June 2007 and April 2023. Everyone in our cohort underwent intensity-modulated radiation therapy with a total range of 69.96–70 Gy in 33–35 fractions [10]. Patients with metastatic cancer or treated with surgery, radiation alone, or palliative treatments were excluded.
Variables of interest included age, gender, race, smoking, primary cancer site, body mass index (BMI), cancer staging based on the American Joint Committee on Cancer (AJCC) 7th edition, p16 status, performance status, concurrent chemotherapy regimens, and PEG tube placement. Prophylactic PEG tube placement was defined as PEG tube placement prior to starting radiation, regardless of the patients’ baseline swallowing functions and nutritional status. Therapeutic PEG tube placement was defined as the PEG tube placement after starting radiation in the setting of a multidisciplinary evaluation based on patients’ swallowing function, nutritional status, significant weight loss, and severe mucositis pain among other factors. All variables were included for multivariable analysis (MVA) models, since they were considered clinically relevant. Missing values were coded as unknown prior to analysis.
Our primary endpoints were survival outcomes: overall survival (OS) and progression-free survival (PFS), defined as time intervals from diagnosis to death from any cause and to death from any cause or tumor progression, respectively. Other endpoints were locoregional failure (LRF) and distant failure (DF), defined as time intervals from diagnosis to tumor recurrence within and outside the head and neck, respectively. Another endpoint of interest was time to first unplanned hospitalization, defined as the time interval from the start of radiation to the date of unplanned admission.

Statistical Analysis

Baseline variables were evaluated and compared based on the Fisher exact test and the Mann–Whitney U test for categorical and continuous characteristics, respectively. Reasons for unplanned hospitalization were summarized using descriptive statistics. OS and PFS were analyzed using the Kaplan–Meier plots, log-rank tests, and Cox proportional hazards MVA. LRF and DF were analyzed using the Fine–Gray MVA with death as a competing event and cumulative incidence plots. To reduce selection bias and evaluate the robustness of our MVA findings, propensity score matching was also performed comparing those with or without unplanned hospitalization. All variables were included for matching using the nearest neighbor method, 1:1 ratio without replacement, and a caliper distance of 0.2 [11]. Exploratory subgroup analysis was performed to analyze OS, PFS, LRF, and DF by repeating Cox and Fine–Gray MVA stratified by p16 status. Logistic MVA was performed to evaluate variables associated with first and multiple unplanned hospitalizations. Time to first hospitalization was analyzed using Fine–Gray MVA and cumulative incidence plots comparing those with or without a PEG tube placement. Given the multiple comparisons (therapeutic PEG tube vs. prophylactic PEG tube; no PEG tube vs. prophylactic PEG tube), Holm–Bonferroni method was performed in this setting. In addition, logistic MVA was also performed to identify the variables associated with therapeutic PEG tube placement among those without a PEG tube at baseline.
All p values were two-sided and those equal to or less than 0.05 were considered statistically significant. All analyses were performed using R version 4.3.2 (R Group for Statistical Computing).

3. Results

A total of 657 patients were identified and met our criteria (Table 1). Most patients were Caucasian (n = 568, 86.5%), male patients (n = 535, 81.4%) with a median age of 61.2 years (interquartile range: 54.9–67.0), former smoking history (n = 374, 56.9%), and oropharyngeal cancer (n = 375, 57.1%), who underwent definitive chemoradiation with cisplatin (n = 550, 83.7%). Median follow up was 30.3 months (interquartile range: 10.0–60.8).
Of 657 patients, 188 patients (28.6%) were hospitalized at least once and 52 patients (7.9%) were hospitalized more than once. Median duration of hospitalization was 5 days (interquartile range: 3–9). The three most common reasons for such unplanned hospitalizations were dehydration, fever, and dysphagia/odynophagia (Table 2). Those with unplanned hospitalization had a worse OS (adjusted hazards ratio [aHR] of 2.07, 95% confidence interval [CI] of 1.53–2.81, p < 0.001) and PFS (aHR 1.83, 95% CI 1.38–2.41, p < 0.001), but not LRF (aHR 0.78, 95% CI 0.43–1.42, p = 0.41) or DF (aHR 1.42, 95% CI 0.84–2.42, p = 0.19; Table S1). Similar findings were noted on 180 matched pairs (OS: HR 1.51, 95% CI 1.08–2.12, p = 0.02; PFS: HR 1.52, 95% CI 1.11–2.09, p = 0.009; LRF: HR 0.75, 95% CI 0.39–1.46, p = 0.40; DF: HR 1.38, 95% CI 0.80–2.37, p = 0.24; Figure 1 and Table 1) as well as subgroup cohorts for 263 patients with p16-negative tumors and 340 patients with p16-positive tumors (Table 3).
On logistic MVA for the entire cohort, male patients (adjusted odds ratio [aOR] of 0.46, 95% CI 0.29–0.72, p < 0.001) and those without a PEG tube (aOR 0.48, 95% CI 0.27–0.86, p = 0.01) were less likely to be hospitalized, while others with a therapeutic PEG tube (aOR 1.96, 95% CI 1.10–3.54, p = 0.02) were more likely to be hospitalized (Table 4). Similar findings were noted when evaluated for time to first unplanned hospitalization (Table 5 and Figure 2). In addition, those who were overweight were also less likely to be hospitalized multiple times (aOR 0.36, 95% CI 0.15–0.82, p = 0.02; Table 4). Among 566 patients without a prophylactic PEG tube, 186 patients (32.9%) received a therapeutic PEG tube. On logistic MVA among these patients, those with p16-positive tumors were less likely to receive therapeutic PEG tube placements (aOR 0.51, 95% CI 0.28–0.92, p = 0.03; Table 6).

4. Discussion

To our knowledge, this is the largest single-institution study suggesting that unplanned hospitalization is an independent, adverse prognostic factor for survival, but not cancer control outcomes, regardless of p16 status. Among those without a prophylactic PEG tube, more than two thirds of these patients did not require a therapeutic PEG tube and had the lowest incidence of unplanned hospitalization. Unplanned hospitalization was largely driven by those who required a therapeutic PEG tube.
The association between unplanned hospitalization and poor survival outcomes in our study was consistent with our prior report [12]. Such a finding was noted regardless of p16 status in our study, and it may be in part due to the poor overall clinical and nutritional status as indicated by the frequent need for therapeutic PEG tubes. However, unplanned hospitalization was not associated with poor oncologic outcomes in our study. In our comprehensive cancer center, daily radiation can be often continued on inpatients, and less than 1% of patients experienced radiation treatment interruptions in our prior study [13]. In addition, less than 10% of patients had multiple hospitalizations in our study, so a limited number of patients were at risk for missing multiple cycles of chemotherapy.
In our study, among those without a prophylactic PEG tube, approximately a third of patients required therapeutic PEG tube placement. This placement rate was consistent with other institutional studies reporting 20–40% of patients requiring therapeutic PEG tubes [3,14,15,16], though it was far less than over 60% reported in a recent national cooperative group trial [7]. This discrepancy may suggest significant heterogeneity in practice patterns for utilizing PEG tubes.
After stratifying patients without prophylactic PEG tubes into those who did or did not require therapeutic PEG tubes, unplanned hospitalization was mainly driven by those with a therapeutic PEG tube. However, other studies did not stratify those without a prophylactic PEG tube [2,4,5,6]. As a result, multiple studies reported no statistically significant differences in unplanned hospitalization due to the presence or absence of a prophylactic PEG tube [3,5,17]
A prophylactic PEG tube may be insufficient for preventing unplanned hospitalizations. For instance, other methods of nutritional supplementation could similarly address weight loss, [18] and frequent intravenous hydration may also help with pain control [19] There was also a high rate of non-use (47%) or limited use (less than two weeks) among those with a prophylactic PEG tube [20]. In addition, a prior review suggested that up to 40% of patients with a PEG tube may experience a varying severity of complications, such as PEG tube site infection, leakage of gastric contents, PEG tube dislodgement and blockage, and diarrhea from dietary changes [21,22].
Nonetheless, dehydration was the most common reason for hospitalization; therefore, unplanned hospitalizations could have been potentially reduced if those with therapeutic PEG tubes received prophylactic PEG tubes instead. Predicting which patients are at greatest risk of therapeutic PEG tube placement and unplanned hospitalizations may help. For example, a machine learning-based algorithm was previously shown to identify high-risk patients for hospitalization, [23] and an ongoing INSIGHT trial is currently investigating the role of close symptom surveillance for reducing hospitalizations among patients receiving definitive chemoradiation (ClinicalTrials.gov ID: NCT05338905). Volume de-escalation in radiation treatments has also been shown to numerically reduce the incidence of therapeutic PEG tubes within 3 months after treatment in a phase III clinical trial [24]. In addition, a secondary analysis of three prospective trials demonstrated that wearable devices allowed the continuous collection of daily step counts, and a machine learning-based model based on step counts predicted hospitalization during chemoradiation with accuracy, specificity, and sensitivity scores of 82.1%, 83.0%, and 60.7%, respectively [25]. A pilot trial incorporating wearable devices also showed that a week-to-week reduction in daily steps was associated with a substantial decline in quality of life [26].
In our study, p16-negative status was the only variable associated with therapeutic PEG tube placement among those without PEG tubes at baseline. Our finding is consistent with another study suggesting a greater disease burden and a higher likelihood of therapeutic PEG tube placement among those with p16-negative tumors [27]. However, our finding is inconsistent with another report showing that those with p16-positive tumors were associated with significant weight loss and therapeutic PEG tube placement as a result [16]. This discrepancy may be due to the higher nodal disease burden and combined modality treatments seen among those with p16-positive tumors [16].
Our study also showed that patients with overweight BMI were less likely to receive multiple hospitalizations. Such findings are consistent with another study reporting higher baseline BMI being associated with reduced complications, hospitalizations, and adequate nutritional status [28]. As a result, such patients may be able to have more cycles of chemotherapy, leading to improved survival outcomes [29,30]. Regardless of PEG tube use, overweight BMI has been similarly shown to be a favorable prognostic factor in patients with HNC undergoing definitive chemoradiation [13,31].
The limitations include the retrospective nature of our study. In addition, other clinically relevant variables, such as baseline functional and nutritional status, medical comorbidities, weight changes, adherence to treatments, toxicity profiles and their etiologies, dietary intake, the actual usage of a PEG tube by patients, exact duration of PEG tube placement, and complications from PEG tube placement, were unavailable for analysis. Our findings may not be generalizable to those who received surgery or had limited access to supportive care services during treatment. In addition, though a multidisciplinary discussion and shared decision-making occurred regarding nasogastric tube placement prior to finalizing therapeutic PEG tube placement, the nasogastric tube placement outcome was not collected for analysis in our database. Furthermore, radiation dosimetric data, such as radiation doses to pharyngeal constrictor muscles, were not available for all patients for analysis.

5. Conclusions

Our study showed that unplanned hospitalization is an independent, adverse prognostic factor for survival, but not cancer control outcomes, regardless of p16 status. Among those without a PEG tube at baseline, more than two thirds did not need a therapeutic PEG tube. Patients without PEG had the lowest incidence of unplanned hospitalization. Unplanned hospitalization was mainly driven by those who required a therapeutic PEG tube.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/cancers17132066/s1, Table S1: Cox and Fine-Gray multivariable analysis for survival and tumor recurrence outcomes.

Author Contributions

Ma and Singh had full access to all of the data in this study and take responsibility for the integrity of the data and the accuracy of the data analysis. Conceptualization, S.J.M. and A.K.S.; Methodology, S.J.M.; Software, S.J.M.; Validation, S.J.M. and A.K.S.; Formal Analysis, S.J.M.; Investigation, S.J.M., J.V., T.V.S., J.G., N.A., H.K.C., V.G., K.E.W., M.A.K., M.R.M., R.P.M., W.L.H., M.K.F. and A.K.S.; Resources, S.J.M. and A.K.S.; Data Curation, S.J.M., J.V., T.V.S., J.G., N.A., H.K.C., V.G., K.E.W., M.A.K., M.R.M., R.P.M., W.L.H., M.K.F. and A.K.S.; Writing—Original Draft Preparation, S.J.M., J.V., T.V.S., J.G., N.A. and H.K.C.; Writing—Review and Editing, S.J.M., J.V., T.V.S., J.G., N.A., H.K.C., V.G., K.E.W., M.A.K., M.R.M., R.P.M., W.L.H., M.K.F. and A.K.S.; Visualization, S.J.M.; Supervision, S.J.M., M.K.F. and A.K.S.; Project Administration, S.J.M. and A.K.S.; Funding Acquisition, S.J.M. and A.K.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by the National Cancer Institute Cancer Center Support Grant (P30CA016056).

Institutional Review Board Statement

This study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Institutional Review Board of Roswell Park Comprehensive Cancer Center (EDR-103707 and 2/28/2018).

Informed Consent Statement

A waiver of consent was obtained from the Institutional Review Board due to the retrospective nature of this study as obtaining consent was impractical since contacting patients to obtain consent would pose a greater risk than the waiver.

Data Availability Statement

The data underlying this article cannot be shared publicly for the privacy of individuals that participated in this study.

Conflicts of Interest

All authors declare that they have no competing interests.

References

  1. Iovoli, A.J.; Turecki, L.; Qiu, M.L.; Khan, M.; Smith, K.; Yu, H.; Singh, A.K. Severe Oral Mucositis After Intensity-Modulated Radiation Therapy for Head and Neck Cancer. JAMA Netw. Open 2023, 6, e2337265. [Google Scholar] [CrossRef] [PubMed]
  2. Almeida, N.D.; Yu, H.; Iovoli, A.J.; Fang, M.; Schrand, T.V.; Pepin, A.; Singh, A.K. Prophylactic gastrostomy tube during chemoradiation for head and neck cancer decreases weight loss but increases rate of tube use beyond six months. Oral Oncol. 2025, 160, 107136. [Google Scholar] [CrossRef] [PubMed]
  3. Lee, J.H.; Machtay, M.; Unger, L.D.; Weinstein, G.S.; Weber, R.S.; Chalian, A.A.; Rosenthal, D.I. Prophylactic gastrostomy tubes in patients undergoing intensive irradiation for cancer of the head and neck. Arch. Otolaryngol. Head Neck Surg. 1998, 124, 871–875. [Google Scholar] [CrossRef] [PubMed]
  4. Nguyen, N.P.; North, D.; Smith, H.J.; Dutta, S.; Alfieri, A.; Karlsson, U.; Sallah, S. Safety and effectiveness of prophylactic gastrostomy tubes for head and neck cancer patients undergoing chemoradiation. Surg. Oncol. 2006, 15, 199–203. [Google Scholar] [CrossRef]
  5. Piquet, M.A.; Ozsahin, M.; Larpin, I.; Zouhair, A.; Coti, P.; Monney, M.; Roulet, M. Early nutritional intervention in oropharyngeal cancer patients undergoing radiotherapy. Support. Care Cancer 2002, 10, 502–504. [Google Scholar] [CrossRef]
  6. Wiggenraad, R.G.J.; Flierman, L.; Goossens, A.; Brand, R.; Verschuur, H.P.; Croll, G.A.; Vriesendorp, R. Prophylactic gastrostomy placement and early tube feeding may limit loss of weight during chemoradiotherapy for advanced head and neck cancer, a preliminary study. Clin. Otolaryngol. 2007, 32, 384–390. [Google Scholar] [CrossRef]
  7. Gillison, M.L.; Trotti, A.M.; Harris, J.; Eisbruch, A.; Harari, P.M.; Adelstein, D.J.; Le, Q.T. Radiotherapy plus cetuximab or cisplatin in human papillomavirus-positive oropharyngeal cancer (NRG Oncology RTOG 1016): A randomised, multicentre, non-inferiority trial. Lancet 2019, 393, 40–50. [Google Scholar] [CrossRef]
  8. Alderman, B.; Allan, L.; Amano, K.; Bouleuc, C.; Davis, M.; Lister-Flynn, S.; Mukhopadhyay, S.; Davies, A. Multinational Association of Supportive Care in Cancer (MASCC) expert opinion/guidance on the use of clinically assisted nutrition in patients with advanced cancer. Support. Care Cancer 2022, 30, 2983–2992. [Google Scholar] [CrossRef]
  9. Network NCC. Head and Neck Cancers (Version 2.2025). 2025. Available online: https://www.nccn.org/professionals/physician_gls/pdf/head-and-neck.pdf (accessed on 18 June 2025).
  10. Fung-Kee-Fung, S.D.; Hackett, R.; Hales, L.; Warren, G.; Singh, A.K. A prospective trial of volumetric intensity-modulated arc therapy vs. conventional intensity modulated radiation therapy in advanced head and neck cancer. World J. Clin. Oncol. 2012, 3, 57–62. [Google Scholar] [CrossRef]
  11. Austin, P.C. Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies. Pharm. Stat. 2011, 10, 150–161. [Google Scholar] [CrossRef]
  12. Han, H.R.; Hermann, G.M.; Ma, S.J.; Iovoli, A.J.; Wooten, K.E.; Arshad, H.; Gupta, V.; McSpadden, R.P.; Kuriakose, M.A.; Markiewicz, M.R.; et al. Matched pair analysis to evaluate the impact of hospitalization during radiation therapy as an early marker of survival in head and neck cancer patients. Oral Oncol. 2020, 109, 104854. [Google Scholar] [CrossRef] [PubMed]
  13. Ma, S.J.; Khan, M.; Chatterjee, U.; Santhosh, S.; Hashmi, M.; Gill, J.; Yu, B.; Iovoli, A.; Farrugia, M.; Wooten, K.; et al. Association of Body Mass Index With Outcomes Among Patients With Head and Neck Cancer Treated With Chemoradiotherapy. JAMA Netw. Open 2023, 6, e2320513. [Google Scholar] [CrossRef] [PubMed]
  14. Baine, M.J.; Dorius, T.; Bennion, N.; Smith, L.; Zhen, W.; Ganti, A.K. Weight Loss and Percutaneous Endoscopic Gastrostomy Tube Placement during Chemoradiotherapy for Locally Advanced Cancer of the Oropharynx Do Not Negatively Impact Outcomes. Front. Oncol. 2017, 7, 299. [Google Scholar] [CrossRef] [PubMed]
  15. Loimu, V.; Collan, J.; Vaalavirta, L.; Bäck, L.; Kapanen, M.; Mäkitie, A.; Tenhunen, M.; Saarilahti, K. Patterns of relapse following definitive treatment of head and neck squamous cell cancer by intensity modulated radiotherapy and weekly cisplatin. Radiother. Oncol. 2011, 98, 34–37. [Google Scholar] [CrossRef]
  16. Vangelov, B.; Kotevski, D.P.; Williams, J.R.; Smee, R.I. The impact of HPV status on weight loss and feeding tube use in oropharyngeal carcinoma. Oral Oncol. 2018, 79, 33–39. [Google Scholar] [CrossRef]
  17. Hanna, E.; Alexiou, M.; Morgan, J.; Badley, J.; Maddox, A.M.; Penagaricano, J.; Fan, C.-Y.; Breau, R.; Suen, J. Intensive chemoradiotherapy as a primary treatment for organ preservation in patients with advanced cancer of the head and neck: Efficacy, toxic effects, and limitations. Arch. Otolaryngol. Head Neck Surg. 2004, 130, 861–867. [Google Scholar] [CrossRef]
  18. Lee, H.; Havrila, C.; Bravo, V.; Shantz, K.; Diaz, K.; Larner, J.; Read, P. Effect of oral nutritional supplementation on weight loss and percutaneous endoscopic gastrostomy tube rates in patients treated with radiotherapy for oropharyngeal carcinoma. Support. Care Cancer 2008, 16, 285–289. [Google Scholar] [CrossRef]
  19. Rivers, C.I.; Iovoli, A.J.; Chatterjee, U.; Hermann, G.M.; Singh, A.K. Intravenous fluids for pain management in head and neck cancer patients undergoing chemoradiation. Ann. Transl. Med. 2021, 9, 912. [Google Scholar] [CrossRef]
  20. Madhoun, M.F.; Blankenship, M.M.; Blankenship, D.M.; Krempl, G.A.; Tierney, W.M. Prophylactic PEG placement in head and neck cancer: How many feeding tubes are unused (and unnecessary)? World J. Gastroenterol. 2011, 17, 1004–1008. [Google Scholar] [CrossRef]
  21. Pih, G.Y.; Na, H.K.; Ahn, J.Y.; Jung, K.W.; Kim, D.H.; Lee, J.H.; Choi, K.D.; Song, H.J.; Lee, G.H.; Jung, H.-Y. Risk factors for complications and mortality of percutaneous endoscopic gastrostomy insertion. BMC Gastroenterol. 2018, 18, 101. [Google Scholar] [CrossRef]
  22. Sealock, R.J.; Munot, K. Common Gastrostomy Feeding Tube Complications and Troubleshooting. Clin. Gastroenterol. Hepatol. 2018, 16, 1864–1869. [Google Scholar] [CrossRef] [PubMed]
  23. Hong, J.C.; Eclov, N.C.W.; Dalal, N.H.; Thomas, S.M.; Stephens, S.J.; Malicki, M.; Shields, S.; Cobb, A.; Mowery, Y.M.; Niedzwiecki, D.; et al. System for High-Intensity Evaluation During Radiation Therapy (SHIELD-RT): A Prospective Randomized Study of Machine Learning-Directed Clinical Evaluations During Radiation and Chemoradiation. J. Clin. Oncol. 2020, 38, 3652–3661. [Google Scholar] [CrossRef] [PubMed]
  24. Nutting, C.; Finneran, L.; Roe, J.; Sydenham, M.A.; Beasley, M.; Bhide, S.; Boon, C.; Cook, A.; De Winton, E.; Emson, M.; et al. Dysphagia-optimised intensity-modulated radiotherapy versus standard intensity-modulated radiotherapy in patients with head and neck cancer (DARS): A phase 3, multicentre, randomised, controlled trial. Lancet Oncol. 2023, 24, 868–880. [Google Scholar] [CrossRef] [PubMed]
  25. Friesner, I.D.; Feng, J.; Kalnicki, S.; Garg, M.; Ohri, N.; Hong, J.C. Machine Learning-Based Prediction of Hospitalization During Chemoradiotherapy With Daily Step Counts. JAMA Oncol. 2024, 10, 642–647. [Google Scholar] [CrossRef]
  26. Sher, D.J.; Radpour, S.; Shah, J.L.; Pham, N.-L.; Jiang, S.; Vo, D.; Sumer, B.D.; Day, A.T. Pilot Study of a Wearable Activity Monitor During Head and Neck Radiotherapy to Predict Clinical Outcomes. JCO Clin. Cancer Inform. 2022, 6, e2100179. [Google Scholar] [CrossRef]
  27. Anderson, B.J.; Moreno, A.C.; Qing, Y.; Lee, J.J.; Johnson, F.M.; Lango, M.N.; Barbon, C.E.A.; Tripuraneni, L.; Sahli, A.; Piper, V.; et al. Revisiting Feeding Tube Utilization in Oropharynx Cancer: 6-Year Prospective Registry Analysis. Otolaryngol. Head Neck Surg. 2024, 170, 1319–1330. [Google Scholar] [CrossRef]
  28. Mays, A.C.; Worley, M.; Ackall, F.; D’Agostino, R., Jr.; Waltonen, J.D. The association between gastrostomy tube placement, poor post-operative outcomes, and hospital re-admissions in head and neck cancer patients. Surg. Oncol. 2015, 24, 248–257. [Google Scholar] [CrossRef]
  29. Ma, S.J.; Zhu, S.; Virk, J.; Koempel, A.; Bhateja, P.; Gogineni, E.; Baliga, S.; Konieczkowski, D.; Mitchell, D.; Jhawar, S.; et al. Weekly Cisplatin Cycles and Outcomes for Chemoradiation in Head and Neck Cancer. JAMA Netw. Open 2024, 7, e2450272. [Google Scholar] [CrossRef]
  30. Virk, J.; Gill, J.; Fekrmandi, F.; Iovoli, A.; Farrugia, M.; Al-Afif, A.; Wooten, K.; Gupta, V.; McSpadden, R.; Kuriakose, M.A.; et al. Association of low adherence to weekly cisplatin with outcomes in patients with head and neck squamous cell carcinoma: A retrospective cohort study. BMC Cancer 2024, 24, 838. [Google Scholar] [CrossRef]
  31. Yang, Z.; Mansour, J.; Sun, P.; Wei, P.; Dahlstrom, K.R.; Zafereo, M.; Li, G.; Gross, N.D. Impact of pretreatment body mass index on the survival of head and neck cancer patients. Head Neck 2024, 46, 1881–1892. [Google Scholar] [CrossRef]
Figure 1. Kaplan–Meier and cumulative incidence plots for survival and tumor recurrence outcomes among the matched cohort. OS: overall survival; PFS: progression-free survival; LRF: locoregional failure; DF: distant failure.
Figure 1. Kaplan–Meier and cumulative incidence plots for survival and tumor recurrence outcomes among the matched cohort. OS: overall survival; PFS: progression-free survival; LRF: locoregional failure; DF: distant failure.
Cancers 17 02066 g001
Figure 2. Cumulative incidence plot for time to first unplanned hospitalization. PPT: prophylactic percutaneous endoscopic gastrostomy tube; PEG: percutaneous endoscopic gastrostomy tube; TPT: therapeutic percutaneous endoscopic gastrostomy tube.
Figure 2. Cumulative incidence plot for time to first unplanned hospitalization. PPT: prophylactic percutaneous endoscopic gastrostomy tube; PEG: percutaneous endoscopic gastrostomy tube; TPT: therapeutic percutaneous endoscopic gastrostomy tube.
Cancers 17 02066 g002
Table 1. Baseline characteristics.
Table 1. Baseline characteristics.
Before MatchingAfter Matching
No HospitalizationHospitalizationNo HospitalizationHospitalization
n%n%pn%n%p
Age 0.03 0.66
<65 years33270.811661.7 11061.111563.9
65 years or older13729.27238.3 7038.96536.1
Gender <0.001 0.71
Female7115.15127.1 4122.84525.0
Male39884.913772.9 13977.213575.0
Race 0.38 0.55
White40987.215984.6 15787.215284.4
Other6012.82915.4 2312.82815.6
Smoking 0.99 0.98
Never12125.84825.5 4726.14826.7
Former26656.710857.4 10055.610156.1
Current8217.53217.0 3318.33117.2
ECOG PS 0.85 0.39
012526.75227.7 4122.84927.2
>034473.313672.3 13977.213172.8
Primary site 0.65 0.92
Oropharynx27358.210254.3 9955.09854.4
Larynx10021.34423.4 4525.04323.9
Other9620.54222.3 3620.03921.7
BMI 0.25 1
Normal11424.34121.8 4122.84122.8
Underweight132.884.3 84.484.4
Overweight18138.66233.0 6234.46133.9
Obese16134.37741.0 6938.37038.9
T staging 0.49 0.4
1–224752.79349.5 9753.98848.9
3–422247.39550.5 8346.19251.1
N staging 0.63 0.91
0–112626.95428.7 5128.35329.4
2–334373.113471.3 12971.712770.6
HPV 0.6 0.72
Negative18238.88143.1 7943.97742.8
Positive24752.79349.5 8346.18949.4
Not available408.5147.4 1810.0147.8
Cisplatin 0.91 0.67
No7616.23116.5 2715.03117.2
Yes39383.815783.5 15385.014982.8
PEG tube placement <0.001 0.91
Prophylactic6313.42814.9 3016.72815.6
No30765.57338.8 6938.37340.6
Therapeutic9921.18746.3 8145.07943.9
PEG tube: percutaneous endoscopic gastrostomy tube; ECOG PS: Eastern Cooperative Oncology Group performance status; BMI: body mass index; HPV: human papillomavirus.
Table 2. Reasons for hospitalization.
Table 2. Reasons for hospitalization.
Reasons for Hospitalization
n%
Dehydration5819.9
Fever4114.1
Dysphagia or odynophagia279.3
Pneumonia248.2
Altered mental status103.4
PE or DVT72.4
Other12442.6
Total291100.0
PE: pulmonary embolism; DVT: deep vein thrombosis.
Table 3. Cox and Fine–Gray multivariable analysis for survival and tumor recurrence outcomes stratified by p16 status.
Table 3. Cox and Fine–Gray multivariable analysis for survival and tumor recurrence outcomes stratified by p16 status.
p16-Negative Tumors
Overall survivalProgression-free survivalLocoregional failureDistant failure
aHR95% CIpaHR95% CIpaHR95% CIpaHR95% CIp
Hospitalization
NoReference Reference Reference Reference
Yes1.921.24–2.970.0031.841.24–2.740.0020.830.40–1.730.621.050.46–2.390.91
p16-positive tumors
Overall survivalProgression-free survivalLocoregional failureDistant failure
aHR95% CIpaHR95% CIpaHR95% CIpaHR95% CIp
Hospitalization
NoReference Reference Reference Reference
Yes2.471.38–4.400.0021.81.11–2.920.020.250.02–2.770.261.440.65–3.160.37
aHR: adjusted hazards ratio; CI: confidence interval.
Table 4. Logistic multivariable analysis for first and multiple unplanned hospitalizations.
Table 4. Logistic multivariable analysis for first and multiple unplanned hospitalizations.
First HospitalizationMultiple Hospitalization
aOR95% CIpaOR95% CIp
PEG tube placement
ProphylacticReference Reference
No0.480.27–0.860.010.860.35–2.310.76
Therapeutic1.961.10–3.540.021.810.74–4.810.21
Age
For every increase by 11.010.99–1.030.21.010.98–1.050.39
Gender
FemaleReference Reference
Male0.460.29–0.72<0.0010.60.31–1.230.15
Race
WhiteReference Reference
Other1.320.77–2.210.30.530.17–1.300.2
Smoking
NeverReference Reference
Former1.030.66–1.620.880.870.42–1.850.7
Current0.910.49–1.650.750.710.26–1.880.49
ECOG PS
0Reference Reference
>00.80.53–1.210.292.241.02–5.620.06
Primary site
OropharynxReference Reference
Larynx1.230.64–2.380.531.340.47–3.790.58
Other1.240.70–2.180.451.370.54–3.310.49
BMI
NormalReference Reference
Underweight1.310.45–3.670.61.190.24–4.520.81
Overweight0.980.59–1.650.950.360.15–0.820.02
Obese1.540.92–2.600.10.710.33–1.540.39
T staging
1–2Reference Reference
3–41.010.67–1.500.971.130.59–2.170.72
N staging
0–1Reference Reference
2–31.020.63–1.650.940.770.37–1.630.49
HPV
NegativeReference Reference
Positive1.240.70–2.200.451.470.59–3.680.41
Not available0.890.38–2.040.791.520.39–5.370.53
Cisplatin
NoReference Reference
Yes1.090.65–1.840.751.340.59–3.410.51
aOR: adjusted odds ratio; CI: confidence interval; PEG tube: percutaneous endoscopic gastrostomy tube; ECOG PS: Eastern Cooperative Oncology Group performance status; BMI: body mass index; HPV: human papillomavirus.
Table 5. Fine–Gray multivariable analysis for time to first unplanned hospitalization.
Table 5. Fine–Gray multivariable analysis for time to first unplanned hospitalization.
Time to First Hospitalization
aHR95% CIp
PEG tube placement
ProphylacticReference
No0.520.32–0.850.008
Therapeutic1.591.00–2.540.05
Age
For every increase by 11.010.99–1.030.18
Gender
FemaleReference
Male0.570.41–0.800.001
Race
WhiteReference
Other1.170.78–1.760.45
Smoking
NeverReference
Former1.010.70–1.450.95
Current0.910.55–1.520.73
ECOG PS
0Reference
>00.840.61–1.160.29
Primary site
OropharynxReference
Larynx1.180.71–1.970.52
Other1.140.73–1.770.58
BMI
NormalReference
Underweight1.210.54–2.700.64
Overweight0.940.62–1.410.75
Obese1.270.84–1.920.26
T staging
1–2Reference
3–41.010.73–1.380.98
N staging
0–1Reference
2–31.010.70–1.470.95
HPV
NegativeReference
Positive1.220.78–1.910.38
Not available0.970.47–2.000.93
Cisplatin
NoReference
Yes1.050.67–1.630.84
aHR: adjusted hazards ratio; CI: confidence interval; PEG tube: percutaneous endoscopic gastrostomy tube; ECOG PS: Eastern Cooperative Oncology Group performance status; BMI: body mass index; HPV: human papillomavirus.
Table 6. Logistic multivariable analysis for therapeutic percutaneous endoscopic gastrostomy (PEG) tube placement among those without a PEG tube at baseline.
Table 6. Logistic multivariable analysis for therapeutic percutaneous endoscopic gastrostomy (PEG) tube placement among those without a PEG tube at baseline.
aOR95% CIp
Age
For every increase by 11.010.99–1.030.25
Gender
FemaleReference
Male0.930.58–1.540.79
Race
WhiteReference
Other0.690.37–1.250.24
Smoking
NeverReference
Former0.840.54–1.320.45
Current1.220.66–2.230.52
ECOG PS
0Reference
>01.350.90–2.060.15
Primary site
OropharynxReference
Larynx0.680.34–1.340.26
Other0.710.39–1.260.25
BMI
NormalReference
Underweight2.260.60–8.780.22
Overweight1.470.88–2.490.15
Obese1.250.74–2.150.41
T staging
1–2Reference
3–41.360.91–2.020.13
N staging
0–1Reference
2–31.150.70–1.900.58
HPV
NegativeReference
Positive0.510.28–0.920.03
Not available1.60.67–3.880.29
Cisplatin
NoReference
Yes1.190.71–2.030.53
aOR: adjusted odds ratio; CI: confidence interval; PEG tube: percutaneous endoscopic gastrostomy tube; ECOG PS: Eastern Cooperative Oncology Group performance status; BMI: body mass index; HPV: human papillomavirus.
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MDPI and ACS Style

Ma, S.J.; Virk, J.; Schrand, T.V.; Gill, J.; Almeida, N.; Cheruvu, H.K.; Gupta, V.; Wooten, K.E.; Kuriakose, M.A.; Markiewicz, M.R.; et al. Association of Percutaneous Endoscopic Gastrostomy (PEG) Tube Placement with Unplanned Hospitalization for Head and Neck Cancer. Cancers 2025, 17, 2066. https://doi.org/10.3390/cancers17132066

AMA Style

Ma SJ, Virk J, Schrand TV, Gill J, Almeida N, Cheruvu HK, Gupta V, Wooten KE, Kuriakose MA, Markiewicz MR, et al. Association of Percutaneous Endoscopic Gastrostomy (PEG) Tube Placement with Unplanned Hospitalization for Head and Neck Cancer. Cancers. 2025; 17(13):2066. https://doi.org/10.3390/cancers17132066

Chicago/Turabian Style

Ma, Sung Jun, Jas Virk, Tyler V. Schrand, Jasmin Gill, Neil Almeida, Harshini K. Cheruvu, Vishal Gupta, Kimberley E. Wooten, Moni A. Kuriakose, Michael R. Markiewicz, and et al. 2025. "Association of Percutaneous Endoscopic Gastrostomy (PEG) Tube Placement with Unplanned Hospitalization for Head and Neck Cancer" Cancers 17, no. 13: 2066. https://doi.org/10.3390/cancers17132066

APA Style

Ma, S. J., Virk, J., Schrand, T. V., Gill, J., Almeida, N., Cheruvu, H. K., Gupta, V., Wooten, K. E., Kuriakose, M. A., Markiewicz, M. R., McSpadden, R. P., Hicks, W. L., Farrugia, M. K., & Singh, A. K. (2025). Association of Percutaneous Endoscopic Gastrostomy (PEG) Tube Placement with Unplanned Hospitalization for Head and Neck Cancer. Cancers, 17(13), 2066. https://doi.org/10.3390/cancers17132066

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