Effect of Body Mass Index on Posttonsillectomy Hemorrhage

Evaluation and Risk Factor Analysis of Post-tonsillectomy Hemorrhage in an Adult Population: An Experience From a National Ear, Nose, and Throat (ENT) Center in Georgia

BACKGROUND

Tonsillectomy, a common surgical procedure for removing the palatine tonsils, is frequently performed in the otorhinolaryngology department. Tonsillectomy, with or without adenoidectomy, is considered a straightforward operation. However, serious complications, such as post-tonsillectomy hemorrhage, can complicate the recovery period. The research aims to analyze and estimate the factors associated with postoperative bleeding in the adult Georgian population.

METHOD

We conducted a cross-sectional study. The data was collected retrospectively from the medical records of adult patients aged 18 years and older, who underwent tonsillectomy in 2022 and 2023 at the National Center of Otorhinolaryngology, Japaridze-Kevanishvili Clinic, in Georgia. We performed univariate analysis using binary logistic regression and multivariate logistic regression analysis and calculated odds ratio (OR) to identify factors associated with postoperative bleeding among patients with tonsillectomy. A p-value of <0.05 was considered statistically significant.

RESULTS

A total of 778 adult patients with tonsillectomy were included in the study. Post-tonsillectomy hemorrhage occurred in 14.7% (n=114) of cases, with primary bleeding observed in 8.1% (n=63) of patients and secondary bleeding in 6.6% (n=51) of cases. The highest incidence of bleeding was observed on days 1 (8.1%, n=63) and 7 (1.3%, n=10). The statistical analysis revealed a statistically significant association between post-tonsillectomy hemorrhage and several factors: smoking status (OR=10.1, 95% CI: 6.1-16.7, p<0.001) and having a body mass index (BMI) greater than 25 (OR=3.6, 95% CI: 2.1-6.1, p<0.001).

CONCLUSION

The study confirmed several significant risk factors, including smoking and higher BMI, that are associated with an increased risk of bleeding among patients, undergoing tonsillectomy. Further research is needed to validate these findings in the Georgian population.

Does Celecoxib Prescription for Pain Management Affect Post-tonsillectomy Hemorrhage Requiring Surgery? A Retrospective Observational Cohort Study

BACKGROUND

Adenotonsillectomy and tonsillectomy (referred to as tonsillectomy hereafter) are common pediatric surgeries. Postoperative complications include hemorrhage requiring surgery (2 to 3% of cases) and pain. Although nonsteroidal anti-inflammatory drugs are commonly administered for postsurgical pain, controversy exists regarding bleeding risk with cyclooxygenase-1 inhibition and associated platelet dysfunction. Preliminary evidence suggests selective cyclooxygenase-2 inhibitors, for example celecoxib, effectively manage pain without adverse events including bleeding. Given the paucity of data for routine celecoxib use after tonsillectomy, this study was designed to investigate the association between postoperative celecoxib prescription and post-tonsillectomy hemorrhage requiring surgery using chart-review data from the Children's Hospital of Eastern Ontario.

METHODS

After ethics approval, a retrospective single-center observational cohort study was performed in children less than 18 yr of age undergoing tonsillectomy from January 2007 to December 2017. Cases of adenoidectomy alone were excluded due to low bleed rates. The primary outcome was the proportion of patients with post-tonsillectomy hemorrhage requiring surgery. The association between a celecoxib prescription and post-tonsillectomy hemorrhage requiring surgery was estimated using inverse probability of treatment weighting based on propensity scores and using generalized estimating equations to accommodate clustering by surgeon.

RESULTS

An initial patient cohort of 6,468 was identified, and 5,846 children with complete data were included in analyses. Median (interquartile range) age was 6.10 (4.40, 9.00) yr, and 46% were female. In the cohort, 28.1% (n = 1,644) were prescribed celecoxib. Among the 4,996 tonsillectomy patients, 1.7% (n = 86) experienced post-tonsillectomy hemorrhage requiring surgery. The proportion with post-tonsillectomy hemorrhage requiring surgery among patients who had a tonsillectomy and were or were not prescribed celecoxib was 1.94% (30 of 1,548; 95% CI, 1.36 to 2.75) and 1.62% (56 of 3,448; 95% CI, 1.25 to 2.10), respectively. Modeling did not identify an association between celecoxib prescription and increased odds of post-tonsillectomy hemorrhage requiring surgery (odds ratio = 1.4; 95% CI, 0.85 to 2.31; P = 0.20).

CONCLUSIONS

Celecoxib does not significantly increase the odds of post-tonsillectomy hemorrhage requiring surgery, after adjusting for covariates. This large pediatric cohort study of celecoxib administered after tonsillectomy provides compelling evidence for safety but requires confirmation with a multisite randomized controlled trial.

EDITOR’S PERSPECTIVE

Body Mass Index Greater Than 46 Associated With Increased Risk of 30 Day Complications Following Adult Tonsillectomy: A Retrospective Cohort Study

Background: The study aimed to identify data-driven body mass index (BMI) thresholds that are associated with varying risk of 30 day complications following adult tonsillectomy. Methods: The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database was utilized to conduct a retrospective cohort analysis of patients undergoing adult tonsillectomy from 2005 to 2019. Stratum-specific likelihood ratio (SSLR) analysis was conducted to determine data-driven BMI strata that maximized the likelihood of 30 day complications following adult tonsillectomy. Patient demographics and clinical comorbidities were compared using chi-squared analysis and student t tests, where appropriate, for each stratum. Multivariable regression analysis was conducted to confirm association between identified data-driven strata with 30 day complication rates. Results: In total, 44,161 patients undergoing adult tonsillectomy were included in this study. SSLR analysis identified 2 BMI categories: 18 to 45 and 46+. Relative to the 18 to 45 BMI cohort, the 46+ BMI cohort was more likely to have 30 day all-cause complications after surgery [odds ratio (OR): 1.62, P = .007]. Specifically, the 46+ BMI cohort had significantly higher odds for 30 day major medical complications (OR: 2.86, P = .001), pulmonary domain complications (OR: 1.86, P = .041), unplanned reintubation (OR: 2.65, P = .033), and deep vein thrombosis (OR: 6.54, P = .026). Conclusions: We identified a BMI threshold of 46+ that was associated with a significantly increased risk of 30 day all-cause complications following adult tonsillectomy. These BMI strata can guide preoperative planning and risk-stratifying models for predicting 30 day complications in tonsillectomy surgery.

Secondary Postoperative Hemorrhage in the Pediatric Tonsillectomy Patient- is there a correlation between hemorrhage and tonsilloliths?

INTRODUCTION

Tonsillectomy with or without adenoidectomy is one of the most common ambulatory procedures performed in children under 15. One rare yet serious complication of tonsillectomy is postoperative hemorrhage. Chronic tonsillitis, which is an indication for tonsillectomy, has been shown to have an increased risk for postoperative hemorrhage. Tonsilloliths or tonsil stones have been associated with cryptic tonsillitis. This 2020-2021 study examined whether tonsilloliths were a risk factor for post-tonsillectomy hemorrhage in a convenience sample of 187 pediatric patients.

METHODS

This was a cross-institutional 12-month retrospective cohort study investigating pediatric patients who had undergone tonsillectomy. Exclusion criteria included patients who had received prior airway surgeries (e.g., supraglottoplasty), patients with significant comorbidities such as chromosomal abnormalities or congenital disorders, and patients with pre-existing bleeding disorders. Demographic, clinical, and operative data was extracted from each chart. Postoperative adverse events and bleeding were also recorded. These factors were then compared between the tonsillolith and no tonsillolith patient groups.

RESULTS

A total of 187 pediatric patients met the inclusion criteria. Seventy-three (39%) of the patients had tonsilloliths and 114 (61%) did not have tonsilloliths at the time of surgery. The tonsillolith subgroup had a higher median age (10 vs 3, P < 0.001) when compared to the no tonsillolith subgroup. The most common indication for tonsillectomy was obstructive sleep apnea/sleep disordered breathing (N= 148, 79.1%). There was no statistical difference found between presence of tonsillolith and indication for surgery (P = 0.06). Only five (2.7%) of sample patients experienced postoperative bleeding and there was no association found between postoperative bleeding and presence of tonsilloliths (P = 0.38).

CONCLUSION

In the current study there was no association found between the presence of tonsilloliths (indicating low grade chronic inflammation) and hemorrhage after tonsillectomy. Continued larger sample evaluations of possible risk factors for post-tonsillectomy hemorrhage patterns are encouraged.

Effect of Body Mass Index on Post Tonsillectomy Hemorrhages

AIMS

Obesity affects adverse outcomes in patients undergoing various surgeries. The study was carried out to assess the clinical association between body mass index and post tonsillectomy hemorrhages.

MATERIALS AND METHODS

This prospective study was carried out on 60 patients, age between 5 and 40 years, admitted in Department of ENT with chronic tonsillitis. Body mass index and post tonsillectomy hemorrhage were evaluated in all patients who underwent surgery. Bleeding episode were categorized according to the Austrian tonsil study.

RESULTS

This prospective study was carried out on 60 patients (adults and children), between December 2021 and November 2022. All patients underwent tonsillectomy under general anaesthesia. It was seen that most of the patients did not have any significant bleeding i.e., Grade A1 (Dry, no clot), and A2 (Clot, but no active bleeding after clot removal) whereas 4 patients (6.7%) had Grade B1 post tonsillectomy hemorrhage (Minimal bleeding requiring minimal intervention by vasoconstriction using adrenaline swab). Post tonsillectomy hemorrhage was seen more in adults. Post tonsillectomy bleeding of Grade B1 was recored in 28.6% of underweight patients, 8% of normal weight patients and no significant bleeding occurred in any of the overweight and obese patients (p-value 0.256).

CONCLUSION

Overweight and obesity (higher BMI) did not increase the risk of post tonsillectomy hemorrhage in either children or adults.

Development and validation of a machine learning-based predictive model for secondary post-tonsillectomy hemorrhage

Background

The main obstacle to a patient's recovery following a tonsillectomy is complications, and bleeding is the most frequent culprit. Predicting post-tonsillectomy hemorrhage (PTH) allows for accurate identification of high-risk populations and the implementation of protective measures. Our study aimed to investigate how well machine learning models predict the risk of PTH.

Methods

Data were obtained from 520 patients who underwent a tonsillectomy at The 940th Hospital of Joint Logistics Support Force of Chinese People's Liberation Army. The age range of the patients was 2-57 years, and 364 (70%) were male. The prediction models were developed using five machine learning models: decision tree, support vector machine (SVM), extreme gradient boosting (XGBoost), random forest, and logistic regression. The performance of the models was evaluated using the area under the receiver operating characteristic curve (AUC). Shapley additive explanation (SHAP) was used to interpret the results of the best-performing model.

Results

The frequency of PTH was 11.54% among the 520 patients, with 10.71% in the training group and 13.46% in the validation set. Age, BMI, season, smoking, blood type, INR, combined secretory otitis media, combined adenoidectomy, surgical wound, and use of glucocorticoids were selected by mutual information (MI) method. The XGBoost model had best AUC (0.812) and Brier score (0.152). Decision curve analysis (DCA) showed that the model had a high clinical utility. The SHAP method revealed the top 10 variables of MI according to the importance ranking, and the average of the age was recognized as the most important predictor variable.

Conclusion

This study built a PTH risk prediction model using machine learning. The XGBoost model is a tool with potential to facilitate population management strategies for PTH.

Obesity and outcomes in patients undergoing upper airway surgery for obstructive sleep apnea

Objective

Obesity is frequently debated as a factor associated with increased postoperative complications. Specifically, upper airway surgeries for obstructive sleep apnea (OSA), a common comorbidity among obese patients, may be complicated by obesity’s impact on intraoperative ventilation. The aim of this retrospective study was to analyze the association of various degrees of obesity with postoperative outcomes in patients undergoing surgery for OSA.

Methods

The American College of Surgeons National Surgical Quality Improvement database between 2015 and 2019 was used to create a sample of patients diagnosed with OSA who underwent uvulopalatopharyngoplasty, tracheotomy, and surgeries at the base of tongue, maxilla, palate, or nose/turbinate. Inverse probability-weighted logistic regression and unadjusted multivariable logistic regression were used to compare outcomes of non-obese and obesity class 1, class 2, and class 3 groups (World Health Organization classification). Primary outcome was a composite of 30-day readmissions, reoperations, and/or postoperative complications, and a secondary outcome was all-cause same-day hospital admission.

Results

There were 1929 airway surgeries identified. The inverse probability-weighted regression comparing class 1, class 2, and class 3 obesity groups to non-obese patients showed no association between obesity and composite outcome and no association between obesity and hospital admission (all p-values > 0.05).

Conclusion

These results do not provide evidence that obesity is associated with poorer outcomes or hospital admission surrounding upper airway surgery for OSA. While these data points towards the safety of upper airway surgery in obese patients with OSA, larger prospective studies will aid in elucidating the impact of obesity.

Should there be a body mass index eligibility cutoff for elective airway cases in an ambulatory surgery center? A retrospective analysis of adult patients undergoing outpatient tonsillectomy

STUDY OBJECTIVE

It is unclear what the body mass index (BMI) should be when performing surgery involving the airway at an outpatient surgery facility. The objective of this study was to evaluate the association of Class 3 obesity versus a composite cohort of Class 1 and 2 obesity with same-day hospital admission following outpatient tonsillectomy in adults.

DESIGN

Retrospective cohort study.

SETTING

Multi-institutional.

PATIENTS

Patients undergoing outpatient tonsillectomy.

INTERVENTION

None.

MEASUREMENTS

We used the National Surgical Quality Improvement Program (NSQIP) to analyze association of BMI to same-day admission and 30-day readmission following outpatient tonsillectomy from 2017 to 2019. We looked at six BMI cohorts: 1) ≥30 and < 40 kg/m² (reference cohort), 2) ≥20 and < 30 kg/m², 3) <20 kg/m², 4) ≥40 and < 50 kg/m², 5) ≥50 and < 60 kg/m², and 6) ≥60 kg/m². We used multivariable Poisson regression with robust standard errors and controlled for various confounders to calculate risk ratios (RR) and 99% confidence intervals (CI).

MAIN RESULTS

There were 12,287 patients included in the final analysis, at which 697 (5.7%) and 283 (2.3%) had a same-day admission or 30-day readmission, respectively. On Poisson regression with robust standard errors, the relative risks for BMI ≥40 kg/m² and < 50 kg/m², ≥50 kg/m² and < 60 kg/m², and ≥ 60 kg/m² (BMI ≥30 kg/m² and < 40 kg/m² was the reference group) were 1.31 (99% CI 1.03-1.65, p = 0.03), 1.99 (99% CI 1.43-2.78, p = 0.002), and 1.80 (99% CI 1.00-3.25, p = 0.07), respectively. Furthermore, Class 3 obesity was not associated with 30-day readmission.

CONCLUSION

These results contribute data that may help practices - especially freestanding ambulatory surgery centers - decide appropriate BMI cutoffs for surgery involving the airway. Whether this is considered clinically significant enough to rule out eligibility will differ from practice-to-practice and will depend on surgical volume, resources available and financial interests.

Predictors of Occurrence and Timing of Post-Tonsillectomy Hemorrhage: A Case-Control Study

OBJECTIVE

To describe cases and timing of pediatric post-tonsillectomy hemorrhage (PTH), to evaluate predictors of PTH, and to determine the optimal amount of postoperative care unit (PACU) monitoring time.

STUDY DESIGN

Using the Pediatric Health Information System (PHIS) database and electronic medical records, a matched case-control study from 2005 to 2015 was performed.

SETTING

A single, tertiary-care institution.

SUBJECTS AND METHODS

Each case of PTH was matched with 1 to 4 controls for the following factors: age, sex, surgeon, and time of year. A total of 124 cases of PTH and 479 tonsillectomy controls were included. The rate and timing of postoperative bleeding were assessed, and matched pair analysis was performed using conditional logistic regression.

RESULTS

Our institutional PTH rate of 1.9% (130 of 6949) included 124 patients; 15% (19) were primary (≤24 hours), with 50% (9) occurring within 5 hours. Twenty-one percent (4 of 19) of primary PTH patients received operative intervention. Eighty-five percent (105 of 124) of all cases were secondary PTH, and 47% (49) of those patients received operative intervention. Cold steel (OR 1.9, 95% CI 1.1-3.3) and Coblation (OR 1.9, 95% CI 1.2-3.1) techniques and tonsillectomy alone (OR 3.7, 95% CI 1.9-7.2) increased odds of PTH. Patients who developed PTH had 4 times the odds of having a preceding postoperative respiratory event than controls (OR 4.0, 95% CI 1.6-10.0).

CONCLUSION

We conducted a rigorous case-control study for PTH, finding that PTH was associated with use of cold steel and Coblation techniques and with tonsillectomy alone. Patients with a postoperative respiratory event may be more likely to develop a PTH and should be counseled accordingly. A PACU monitoring time of 4 hours is sufficient for outpatient tonsillectomy.

Risk factors of post-tonsillectomy hemorrhage in adults

OBJECTIVE

Tonsillectomy is an essential surgery and is conducted on both children and adults. However, the risk factors of post-tonsillectomy hemorrhage for adult patients remain unclear. In this study, we analyzed post-tonsillectomy hemorrhage in adult patients.

METHODS

We retrospectively analyzed 325 adult patients who underwent a tonsillectomy between 2014 and 2018 in our facilities.

RESULTS

The average age of this study's population was 31.7 ± 10.5 years (range: 19-70 years), and 250 (76.9%) patients were male. Overall, post-tonsillectomy hemorrhage occurred in 71 (21.8%) patients and 5 (1.5%) patients required a second surgery for hemostasis. Post-tonsillectomy hemorrhage often occurred on postoperative day zero or six. Using multiple logistic regression analysis, current smoking status (odds ratio 3.491; 95% confidence interval 1.813-6.723), male sex (odds ratio 3.924; 95% confidence interval 1.548-9.944), and perioperative non-steroidal anti-inflammatory drug administration (odds ratio 7.930; 95% confidence interval 1.004-62.64) were revealed as overall post-tonsillectomy hemorrhage risk factors. To analyze the hemorrhage period after tonsillectomy, we categorized the post-tonsillectomy hemorrhage patients into the primary (bleeding within postoperative day one) and secondary hemorrhage (bleeding on or after postoperative day two) groups. The current smoking status and older age were risk factors for primary hemorrhage and the current smoking status and sex (male) were risk factors for secondary hemorrhage.

CONCLUSIONS

In this study, smoking status, sex, and perioperative non-steroidal anti-inflammatory drug administration were the clinical risk factors for adult post-tonsillectomy hemorrhage. Thus, smoking cessation is, at least, mandatory for patients who receive tonsillectomy to avoid post-tonsillectomy hemorrhage.

LEVEL OF EVIDENCE

4.

Predictors for hemorrhage following pediatric adenotonsillectomy

OBJECTIVE

To determine risk factors and trends for posttonsillectomy hemorrhage (PTH) following adenotonsillectomy (T&A) at a single children's tertiary referral hospital.

METHODS

Charts from all patients 2-12 years old undergoing T&A alone at a single children's hospital from January 1, 2010 through December 31, 2015 were reviewed. Data was collected on patient demographics, indication for procedure, time of year, academic affiliation of surgeon, surgical technique and method, post-operative pain medication prescribed,and readmission for PTH. Univariate chi-square analyses and logistic regression along with multivariable stepwise logistic regression were used to identify predictors of PTH. SPSS version 24 was used for statistical analyses with p < .05 indicating statistical significance.

RESULTS

There were 2565 children undergoing T&A during the study period. One hundred seventy-three (6.7%) patients were readmitted, of which 53 (30.6%) were due to PTH. Univariate analyses identified children at the highest age quartile of the study, 7.72-12.97 years old (odds ratio [OR] = 5.775, 95% confidence interval [CI] = 2.248-14.837, p < .001) and children with a BMI z-score of 2 or greater (OR = 3.391, 95% CI = 1.497-7.680, p = .003) were at increased risk for PTH. Multivariable analyses also identified both the highest age quartile and BMI z-score of 2 or greater to be a risk factor for PTH.

CONCLUSION

In children undergoing T&A, age greater than 7.72 years old and BMI z-score of 2 or greater are significant risk factors for PTH. Replication of these findings in a more highly powered trial is needed.