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The incidence of respiratory infections in patients undergoing major oral cavity and maxillary and mandibular resections with free flap reconstruction for head and neck cancer

Published online by Cambridge University Press:  18 February 2026

Rachel Wijayarathna
Affiliation:
Physiotherapy, Guy's and St Thomas' NHS Foundation Trust, London, UK King's College London, London, UK
Gareth D. Jones
Affiliation:
Physiotherapy, Guy's and St Thomas' NHS Foundation Trust, London, UK Centre for Human and Applied Physiological Sciences, King's College London, UK
Samantha Ringshall
Affiliation:
Physiotherapy, Guy's and St Thomas' NHS Foundation Trust, London, UK
Eui-Sik Suh
Affiliation:
Lane Fox Unit, St Thomas' Hospital, London, UK
Ricard Simo
Affiliation:
Department of Otolaryngology, Head and Neck Surgery, Guy's and St Thomas' NHS Foundation Trust, London, UK King's College London, London, UK
Andreas Xyrichis*
Affiliation:
King's College London, London, UK
Nicola Peat
Affiliation:
Physiotherapy, Guy's and St Thomas' NHS Foundation Trust, London, UK
*
Corresponding author: Andreas Xyrichis; Email: andreas.xyrichis@kcl.ac.uk
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Abstract

Objectives

This study aimed to analyse respiratory infection rates (RI) in a representative cohort and evaluate if tumour size, pre-existing respiratory co-morbidities, smoking history, and tracheostomy predicted postoperative infection.

Methods

A retrospective observational study at a London tertiary head and neck oncology centre reviewed six years of patient data. BMJ Best Practice guidelines for hospital-acquired pneumonia (2022) were applied to medical records alongside postoperative RI prescriptions.

Results

RI occurred in 32% of patients, more often in those with tracheostomy (36%) than intubation (12%). Infected patients were older (p=0.025), had tracheostomy (p=0.045), and underwent bilateral neck dissection (p<0.001). ICU (p=0.008) and hospital LOS (p<0.001) were significantly higher. Age, smoking, respiratory disease, tumour stage, and airway type were not predictors.

Conclusion

RI were more frequent in tracheostomised patients, though assessed risk factors were not predictive. Further research should explore additional contributors and evaluate targeted interventions to reduce incidence.

Information

Type
Main Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of J.L.O. (1984) LIMITED.

Introduction

Head and neck cancer (HNC) involves epithelial malignancies of the upper airway and digestive tract. These heterogeneous tumours and are the eighth leading cause of cancer in the UK.Reference Ferlay, Shin, Bray, Forman, Mathers and Parkin1 The annual incidence is 12,422 cases.2 Oral and oropharyngeal cancer comprises of malignant tumours located within the oral cavity and neck and rates have risen by more than 30 per cent since the 1990s.3 Smoking, alcohol consumption and social deprivation are important determinants and highly prevalent factors affecting the onset, prognosis and recovery from HNC.Reference McCarter, Baker, Britton, Wolfenden, Wratten and Bauer4 Patients often present with multiple co-morbidities making surgical management and recovery complex and high risk. Nonetheless, 45–75 per cent undergo surgery as their primary treatment.Reference Ferlay, Shin, Bray, Forman, Mathers and Parkin1 Surgery includes resection of the tumour and appropriate lymph node dissection with free flap reconstruction (FFR). Additionally, autogenous bone grafting from a secondary donor site to improve aesthetics, speech and swallow function if either the mandible or maxilla are involved.

There is a significant risk of morbidity and mortality in oral cavity cancer resections with FFR. Respiratory infections (RI) are thought to be common following surgery and is associated with an increased risk of mortality and morbidity and hospital and intensive care unit (ICU) length-of-stay (LOS).Reference Graves, Weinhold, Tong, Birrell, Doidge and Ramritu5 However, there is conflicting data on respiratory infection incidence rates as well as the possible predisposing factors. Small scale studies lacking statistical power and methodological rigour mean rates widely vary from 4.5 to 47 per cent. The same studies have reported tracheostomy,Reference Coyle, Tyrrell, Godden, Hughes, Perkins and Thomas6, Reference Crosher, Baldie and Mitchell7 age,Reference Loeffelbein, Julinek, Wolff, Kochs, Haller and Haseneder8 smoking history,Reference Rao, Reilley, Schuller and Young9 respiratory co-morbidities,Reference Petrar, Bartlett, Hart and MacDougall10 body mass index (BMI),Reference Jones, Jarrahy, Song, Kaufman and Markowitz11 anaesthetic duration,Reference Patel, McCluskey, Goldstein, Minkovich, Irish and Brown12 and tumour stageReference Semenov, Starmer and Gourin13 being associated with an increased risk of RI.

Tracheostomy insertion is common practice, 69 per cent (39/57 with FFR) and is primarily done to protect the airway during the immediate post-operative period.Reference Marsh, Elliott, Anand and Brennan14 Weaning and decannulation of these patients is also thought to be timely and straightforward.Reference Cameron, Corner, Diba and Hankins15 In the acute post-operative phase, intra-oral swelling can occlude the upper airway necessitating a means of airway security.Reference Coyle, Shrimpton, Perkins, Fasanmade and Godden16, Reference Goetz, Burian, Weitz, Wolff and Bissinger17 Timely return to theatre for flap salvage, or haemorrhage is therefore paramount. Yet intra-oral swelling can make emergency endotracheal intubation challenging.

The mechanisms by which patients undergoing this major surgery can develop an RI are numerous. Pre-operative health and fitness can impact post-operative complications, while prolonged anaesthetic times increase the risk of RI.Reference Farwell, Reilly, EA, Greenberg, Staiger and Futran18 Alterations in respiratory mechanics can predispose patients to RI. Resecting and denervation of structures involved with swallowing and airway protection increases the risk of aspiration. A tracheostomy bypasses the body’s normal filtration and humidification systems, drying the lining of the airways and secretions. Glottic closure is absent reducing cough effectiveness. The requirement for regular suction can also introduce pathogens into the airways, increasing the risk of RI. What’s more, multiple attachments and reduced space in the ICU can restrict mobility as does pain from multiple surgical sites. Restrictions in movement to protect microvascular reconstructions further contribute to this risk.

Current literature lacks a clear definition of the prevalence and risk factors for RI. Understanding this prevalence would enable better risk stratification, allowing for targeted interventions that could reduce hospital and ICU stays, as well as the associated care costs of major surgery.

Materials and methods

The primary aim of the study is to describe and analyse the rates of RI in patients who underwent oral cavity, maxillary and mandibular cancer resections with FFR. The secondary aim was to analyse whether tumour size, pre-existing respiratory co-morbidity and smoking history influenced RI rates.

Design

This was a retrospective observational study conducted over a 1-month period from 31 October 2022 at a specialist centre for head and neck surgical oncology at a single centre tertiary London hospital.

Homogenous convenience sampling was employed to capture cohorts of patients who underwent both methods of airway security. Data between 2018 and 2021 were collected to capture patients who underwent tracheostomy. Prior to this, there was a wide variation in case selection, meaning some patients underwent overnight intubation. Data from a 2-year period (2014–2015) captured patients who underwent overnight intubation. The design of the study did not require a sample size calculation.

Eligible participants were identified from a database collected as part of routine clinical service evaluation and audit. Paper and electronic medical records were screened and retrospective data extracted. Eligibility criteria included all patients who underwent oral cavity cancer, maxillary and mandibular resections with FFR. Patients who underwent surgery during the previous 12 months, and those who underwent salvage surgery or surgery for osteoradionecrosis, were excluded.

Ethical approval

The study received HRA approval (number 22/HRA/3386) and local Research and Development (R&D) sponsorship in accordance with the Code of Ethics of the World Medical Association (Declaration of Helsinki; 2013). The retrospective design precluded need of consent. However, in order to comply with National Data Op-out (NDOO) legislation, the NDOO database was screened and patients who selected opt-out were excluded.

Outcome measure

The primary outcome was evidence of RI and was recorded using a dual approach. The “British Medical Journal (BMJ), best practice guidelines on hospital-acquired pneumonia (non–Covid-19)”19 (2022) was retrospectively applied to medical records between post-operative days 1 and 7.

A new and/or persistent shadowing (consolidation) on chest x-ray, which was otherwise unexplained, plus at least two of the following confirmed the diagnosis: fever greater than 38°C (>100ºF), leukocytosis (WBC >10 × 109/L) or leucopenia (WBC <4 × 109/L), purulent sputum and decline in oxygenation.

The number of post-operative reactive antibiotic prescriptions for chest infection during the same post-operative period was recorded from prescription charts. If patients scored positively consolidation plus two or more of the same four variables, the presence of RI was recorded. If they were absent despite antibiotic prescription, RI was not recorded.

All patients received similar post-operative care and physiotherapy input, centred around preventing post-operative pulmonary complications. This included regular nebulisation with saline and mucolytics, early mobility, regular analgesia and strategies to ensure regular effective secretion clearance. Antibiotic prescription both post-operatively (Co-amoxiclav for 3 days) and for RI was standardised as per local guidelines.

Data collection

A single primary investigator, a specialist physiotherapist for head and neck cancer surgery, undertook the data collection, recording and analysis. Descriptive demographic data including age, sex, smoking history, respiratory history, Eastern Cooperative Oncology Group Performance Status (ECOG-PS), tumour site and stage were collected. Data relating to the surgery type, date, the type and levels of neck dissection and flap site were also recorded. Temporal measures included date return to theatre, ICU and overall hospital LOS.

Data analysis

Descriptive statistics are presented as frequencies and percentages for categorical variables and mean (±SD) for continuous variables. Continuous data were not normally distributed (Kolmogorov–Smirnov, age p = 0.004, pack-year history p < 0.001, ICU LOS p < 0.001, hospital LOS p = 0.001). Therefore, Mann–Whitney U rank-based tests were used to assess differences in age, pack-year history, ICU and hospital length of stay between patients who did and did not develop an RI).

A chi-squared test of homogeneity was used to assess proportional differences in categorical variables between those who developed an RI and those who did not. For cells with an expected cell count of below 5, Fisher’s exact test was used instead (chronic obstructive pulmonary disease [COPD], asthma, sarcoidosis, readmission to critical care and return to surgery). Binomial logistic regression was used to predict the risk of a patient developing a respiratory infection with respect to airway type, age, respiratory history, smoking history and tumour stage. All data were analysed using IBM Statistical Package from the Social Sciences (SPSS) Version-25 with statistical significance assumed if p was less than or equal to 0.05. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines were followed to report this study (appendix 1).

Results

A total of 127 patients were identified (mean age 62.1 (±11.7) years) of which 80 (63 per cent) were male (Table 1). A total of 110 patients had a tracheostomy, and 17 were intubated. Mean ICU LOS was 2(±2) days, and hospital LOS was 17(±12) days (Table 2). Most patients (70 per cent) had multiple areas resected, with 97 per cent undergoing neck dissection. Only 4 per cent required ICU readmission, and 7 per cent returned to theatre, 5 per cent for flap issues, one needing two return trips for flap salvage and another three times.

Table 1. Patient demographics

Table 2. Surgical demographics of included patients

RI was identified in n = 41 (32 per cent) patients. Age was statistically significantly higher in those with a RI (median rank 65.5) than those without (median rank 63.0), [U = 2223, z = 2.246; p = 0.25] using an exact sampling distribution for U.Reference Dineen and Blakesley20 Hospital LOS was statistically significantly higher in those with a RI (median rank 18.5) than those without (median rank 11.00), [U = 2702, z = 4.706, p < 0.001]. ICU LOS was statistically significantly higher in those with a RI (median rank 2.0) than those without (median rank 1.0), [U =2271, z = 2.661, p = 0.008] (Table 3).

Table 3. Characteristics of included patients who developed a respiratory infection compared to those without

* Denotes statistical significance < 0.05.

There was a statistically significant higher rate of RI in those who had a tracheostomy (36 per cent) compared to those who were intubated (12 per cent), a difference in proportions of 0.24 [χ2(df) = x0.000; p = 0.45]. There was also a statistically significant higher rate of RI in those that had a bilateral neck dissection (64 per cent) compared with a unilateral neck dissection (27 per cent), a difference of proportions of 0.37 [χ2(df) = x0.000; p < 0.001]. There were no other statistically significant differences in proportions between all other variables.

The logistic regression models for age (p = 0.050), smoking history (p = 0.881), respiratory history (p = 0.246), tumour stage (p = 0.142) and airway type (p = 0.064) were not statistically significant.

Discussion

The study observed a 32 per cent incidence rate of RI, this is higher than the 12 per cent and 15 per cent reported in the existing literature.Reference Littlewood, Jebril, Lowe, Konig, Groom and Rogers21, Reference Shaw, Iseli, Wiesenfeld, Ramakrishnan and Granger22 A study used Health Information Service (HIS) data to identify pneumonia and the Melbourne Group Scale (MGS) to identify post-operative pulmonary complications (PPCs), in a similar group of patients.Reference Shaw, Iseli, Wiesenfeld, Ramakrishnan and Granger22 The authors reported a 12 per cent and 15 per cent incidence rate respectively. However, small samples and methodological flaws make comparison to the current data difficult, and true prevalence ambiguous. Rates could be under-reported as prospective data, standardised outcomes were not utilisedReference Littlewood, Jebril, Lowe, Konig, Groom and Rogers21 and financial incentives associated with HIS data could lead to over-reporting.Reference Shaw, Iseli, Wiesenfeld, Ramakrishnan and Granger22 The MGS identified all PPC’s meaning data specific to RI could not extracted. The current study was conducted at a tertiary specialist centre for HNC surgery, handling complex surgery on high-risk patients, which may explain the higher infection rates. However, the lack of detailed patient and surgical demographics prevented direct comparison with the current study.Reference Littlewood, Jebril, Lowe, Konig, Groom and Rogers21, Reference Shaw, Iseli, Wiesenfeld, Ramakrishnan and Granger22

Post-operatively, the alterations in respiratory mechanics and pathophysiology do lend themselves to the high incidence rates described. This combined with prevalence demonstrates that this is a clinical issue that needs to be addressed. The surgical insult to structures vital to breathing and management of secretions strongly supports the narrative that tracheostomy insertion is necessary.Reference Bianchi, Copelli, Ferrari, Ferri and Sesenna23Reference Zubair, McMahon, Carson, McCaul, Hislop and Wales25 This, combined with the high prevalence of tracheostomy insertion in UK head and neck surgical cancer centres, demonstrates this will not change.Reference Cameron, Corner, Diba and Hankins15 Therefore, identifying those patients most at risk and directing interventions to improve outcome is necessary.

We observed a higher proportion of older patients and patients undergoing bilateral neck dissections who developed an RI. These variables have not been identified in the very limited existing literature. However, age has been identified as a significant influencing factor on post-operative morbidity and mortality in other surgical specialities.Reference Thompson, Makary, Dorman and Pronovost26 Despite a higher proportion of older patients, and patients undergoing tracheostomy insertion who developed an RI, logistic regression analysis did not identify them as predictors. Logistic regression modelling requires a minimum of 15 cases per independent variable, some report this should be higher than 50.Reference Menard27 These minimum case numbers were not met for both logistic regression models, likely accounting for the non-significant results. The study was of retrospective design; therefore, a power calculation was not performed, and we should acknowledge that the study may have been under-powered to make accurate predictions.

Critical care and hospital LOS was significantly longer in patients who developed a respiratory infection. Similar findings were described in a study reporting on the incidence of tracheostomy related complications in HNC surgery.Reference Castling, Telfer and Avery28 In patients who developed a complication, hospital LOS increased from 14 to 25 days.Reference Castling, Telfer and Avery28 Presentation of the data did not allow for a separate analysis of only those that developed an RI. However, the significant increases in ICU and hospital LOS for patients that develop an RI support the notion that patients who develop complications have a longer hospital LOS.

There is a plethora of evidence demonstrating the efficacy of respiratory physiotherapy and early mobility in reducing post-operative pulmonary complications, morbidity and LOS.Reference Morris, Goad, Thompson, Taylor, Harry and Passmore29Reference Tazreean, Tan, Lewis and Campbell33 Although evidence is largely confined to critical care and other surgical specialties, these positive outcomes may be translatable to the head and neck surgical population. Implementing standardised physiotherapy pathways, combined with early risk stratification to identify high-risk patients (e.g., those with pre-existing conditions), could enhance recovery and reduce morbidity, mortality and LOS in patients who undergo major head and neck surgery. This evidence gap combined with the high rates of RI seen in the current study highlights the need for future studies to investigate the efficacy, timing and dosing of targeted respiratory physiotherapy and early mobility in post-operative major head and neck surgery and how they may reduce complication rates.

  • Oral cavity, maxillary and mandibular cancer rates are increasing and so is the number of patients undergoing curative major surgery

  • Oral cavity, maxillary and mandibular surgery is complex and high risk, as is the population that undergo this type of surgery

  • While morbidity and mortality are high, little evidence exists on peri-operative risk factors and the incidence on respiratory infection

  • The findings of this study demonstrate a clinically significant incidence rate of respiratory infection in patients who undergo major oral cavity resections with free flap reconstruction

  • The findings of this study demonstrate the complexity of these patients, identifying a significantly longer ICU and hospital LOS in those who develop an infection

  • This study investigates certain pre- and peri-operative risk factors that may predict the onset of an infection

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/S0022215125104131.

Financial support

No.

Competing interests

No.

Footnotes

Rachel Wijayarathna takes responsibility for the integrity of the content of the paper

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Figure 0

Table 1. Patient demographics

Figure 1

Table 2. Surgical demographics of included patients

Figure 2

Table 3. Characteristics of included patients who developed a respiratory infection compared to those without

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