Sequelae of Index Complications following Inpatient Head and Neck Surgery: Characterizing Secondary Complications

Risk factors for postoperative adverse airway events in patients with primary oral cancer undergoing reconstruction without prophylactic tracheostomy

OBJECTIVE

To identify risk factors associated with adverse airway events (AAEs) in primary oral cancer patients undergoing tumor ablation followed by free tissue transfer without prophylactic tracheostomy.

METHODS

We retrospectively collected primary oral cancer patients who underwent tumor ablation surgery following free-tissue transfer without prophylactic tracheostomy during February 2017 to June 2019 in Chang Gung Memorial Hospital, Linkou Medical Center, Taiwan. 379 patients were included. Data were analysed from 2020 to 2021. Demographics, comorbidities, intraoperative variables and postoperative respiration profile were obtained from the medical record. Main outcome was postoperative AAEs, including requirement of endotracheal intubation after extubation and tracheostomy after prolonged intubation.

RESULTS

Of the 379 patients, postoperative AAEs happened in 29 patients (7.6 %). In reintubation group, patients were older with more diabetes mellitus, hypertension and cerebrovascular disease. These patients had lower preoperative hemoglobin, creatinine, and albumin level with more intraoperative blood transfusion. In postoperative respiration profile, rapid shallow breathing index (RSBI) and PaO2/FiO2 (PF) ratio were poorer. On multivariate analysis, patient's age, tumor location, and cross-midline segmental mandibulectomy and a lower PF ratio were independent risk factors for postoperative AAEs.

CONCLUSIONS

In head and neck cancer patients that underwent tumor ablation followed by free tissue transfer without prophylactic tracheostomy, patient's age, tumor location, cross-midline segmental mandibulectomy and P/F ratio are associated with postoperative AAEs.

Construction and evaluation of networks among multiple postoperative complications

BACKGROUND AND OBJECTIVE

Postoperative complications confer an increased risk of reoperation, prolonged length of hospital stay, and increased mortality. Many studies have attempted to identify the complex associations among complications to preemptively interrupt their progression, but few studies have looked at complications as a whole to reveal and quantify their possible trajectories of progression. The main objective of this study was to construct and quantify the association network among multiple postoperative complications from a comprehensive perspective to elucidate the possible evolution trajectories.

METHODS

In this study, a Bayesian network model was proposed to analyze the associations among 15 complications. Prior evidence and score-based hill-climbing algorithms were used to build the structure. The severity of complications was graded according to their connection to death, with the association between them quantified using conditional probabilities. The data of surgical inpatients used in this study were collected from four regionally representative academic/teaching hospitals in a prospective cohort study in China.

RESULTS

In the network obtained, 15 nodes represented complications or death, and 35 arcs with arrows represented the directly dependent relationship between them. With three grades classified on that basis, the correlation coefficients of complications within grades increased with increased grade, ranging from -0.11 to -0.06, 0.16, and 0.21 to 0.4 in grade 1 to grade 3, respectively. Moreover, the probability of each complication in the network increased with the occurrence of any other complication, even mild complications. Most seriously, once cardiac arrest requiring cardiopulmonary resuscitation occurs, the probability of death will be up to 88.1%.

CONCLUSIONS

The present evolving network can facilitate the identification of strong associations among specific complications and provides a basis for the development of targeted measures to prevent further deterioration in high-risk patients.

Blood transfusion demands in a tertiary otolaryngology, head and neck centre: A 5-year retrospective cohort study

OBJECTIVES

To retrospectively analyse and report the utilisation of red blood cell (RBC) transfusion in a tertiary otolaryngology, head and neck centre in the United Kingdom.

BACKGROUND

Twenty-seven per cent of RBC transfusions were for surgical indications in a 2014 England and North Wales survey. Currently, there is limited literature on RBC transfusions in Otolaryngology.

METHODS/MATERIALS

All inpatients admitted primarily under the care of the Otolaryngology, Head and Neck service between January 2015 and December 2019 were analysed. The primary outcomes of interest were number of units of RBC transfused over 5 years and distribution across clinical indications. Secondary outcome measure was cost of RBC transfusions over the same time period.

RESULTS

Most patients receiving transfusions are aged in their sixth and seventh decades. Epistaxis patients utilised 105 RBC units over the 5 years (56% of total RBC units) with emergency epistaxis accounting for 78% of use. Post-operative Head & Neck Cancer surgery with and without reconstruction required 47 RBC units over 5 years (25% of total RBC units). The mean cost incurred by the department over the 5-year period was £6171.49 (SD 1460.25). The cost has fallen by over £2000 over the 5-year period.

CONCLUSION

Blood transfusion use has fluctuated over the last 5 years. Epistaxis and post-operative Head and Neck cancer cases account for significant use compared with other patient groups. Prehabilitation strategies will add value towards mitigating future consumption of RBC.

The evidence-based preoperative assessment for the otolaryngologist

There is a narrow window of opportunity between surgical scheduling and the operative date to optimize patients for an elective surgical procedure. Traditionally, preoperative care has involved extended routine testing batteries with intermittent referrals for medical clearance. These traditions are costly, inefficient, and yield no clear reduction in perioperative morbidity and mortality. Evidence, which has evolved over the past decade, suggests that optimal preoperative care requires a patient-centric, personalized, and often multidisciplinary approach. We present an up-to-date overview of this literature with a focus on the otolaryngologic surgical population. An algorithmic approach to preoperative patient assessment is also proposed in hopes of both optimizing patient outcome and streamlining routine clinical workflow. Laryngoscope, 130:38-44, 2020.