Objective

Both tonsillar hypertrophy and obesity contribute to pediatric sleep-disordered breathing (SDB). Tonsillectomy addresses anatomical obstruction causing SDB; however, it may adversely affect the obesity profile postoperatively. Herein, we investigate posttonsillectomy body mass index (BMI) changes in pediatric patients.

Study design

Retrospective case series.

Setting

Tertiary, pediatric urban academic center.

Methods

All patients undergoing tonsillectomy from January 1, 2016, to December 31, 2016, were included. Patients' age, sex, surgical indication, and preoperative BMI were recorded. Postoperative BMI data were collected between March 1, 2016, and December 31, 2017. Statistical analysis was performed using a generalized regression model, using BMI percentile-for-age weight status.

Results

A total of 1153 patients were included (50% female), with age ranging from 2.0 to 19.5 years (mean [SD], 7.6 [4.0]). The majority (87.8%) had tonsillectomy for SDB. Of the cohort, 560 (48.6%) had available follow-up BMI data. The BMI percentile on the day of the surgery had a median of 65.8, and the BMI percentile on follow-up had a median of 76.4. The median time to follow-up was 197 days with a range of 50 to 605 days. Higher postoperative BMI percentile strongly correlated to higher preoperative BMI percentile (P < .001), as well as younger age (P < .001), male sex (P = .0005), and SDB as a surgical indication (P = .003).

Conclusion

We observed a significant increase in BMI percentile following tonsillectomy, which accounted for a significantly higher proportion of the cohort being classified as overweight or obese postoperatively. These findings necessitate greater preoperative counseling, closer follow-up, and adjunctive measures for obesity management in pediatric patients undergoing tonsillectomy.

PURPOSE: Cancer patients frequently utilize the emergency department (ED) for a variety of diagnoses both related to and unrelated to their cancer, yet ED outcomes for cancer patients are not well documented. This study sought to define risks and identify predictors for inpatient admission and hospital mortality among cancer patients presenting to the ED. PATIENTS AND METHODS: We utilized the National Emergency Department Sample to identify patients with and without a diagnosis of cancer presenting to the ED between January 2016 and December 2018. We used multivariable mixed-effects logistic regression models to assess the influence of cancer on outcomes of hospital admission after the ED visit and hospital mortality for the whole patient cohort and individual presenting diagnoses. RESULTS: There were 340 million weighted ED visits, of which 8.3 million (2.3%) were associated with a cancer diagnosis. Compared to non-cancer patients, patients with cancer had an increased risk of inpatient admission (64.7% vs. 14.8%; p < 0.0001) and hospital mortality (4.6% vs. 0.5%; p < 0.0001). For each of the top 15 presenting diagnoses, cancer patients had increased risks of hospitalization (odds ratio [OR] range 2.0-13.2) or death (OR range 2.1-14.4). Although our dataset does not contain reliable estimation of stage, cancer site was the most robust individual predictor associated with the risk of hospitalization or death compared to other clinical or system-related factors. CONCLUSIONS: Cancer patients in the ED have high risks for hospital admission and death when compared to patients without cancer. Cancer patients represent a distinct population and may benefit from cancer-specific risk stratification or focused interventions to improve outcomes.

Objectives

A subset of laryngeal squamous cell carcinoma (LSCC) patients undergoing larynx preserving treatment ultimately require total laryngectomy (TL) for oncologic or functional reasons. This study aims to identify TL risk factors in these patients.

Methods

Retrospective cohort study using Veterans Affairs (VA) database. T1-T4 LSCC cases treated with primary radiotherapy (XRT) or chemoradiotherapy (CRT) were assessed for TL and recurrence. Binary logistic and Cox regression and Kaplan-Meier analyses were implemented.

Results

Of 5390 cases, 863 (16.0%) underwent TL. On multivariable analysis, age (adjusted odds ratio: 0.97 [0.96-0.98]; p < .001) and N3 disease (0.42 [0.18-1.00]; p = .050) were associated with reduced risk of TL, whereas current alcohol use (1.22 [1.04-1.43]; p = .015) and >T1 disease (T2, 1.76 [1.44-2.17]; p < .001; T3, 2.06 [1.58-2.68]; p < .001; T4, 1.79 [1.26-2.53]; p = .001) were associated with increased risk of TL. However, N2 (adjusted hazard ratio: 1.30 [1.10-1.55]; p = .003) and N3 (2.02 [1.25-3.26]; p = .004) disease were associated with an increased risk for local recurrence. Compared to XRT, treatment with CRT was associated with reduced risk for local recurrence after adjusting for other factors (0.84 [0.70-0.99]; p = .044). Those who do not receive TL following local recurrence have poorer disease-specific survival (log-rank, p < .001). In patients without local recurrence, N2 disease was associated with a fourfold increase in risk of TL (4.24 [1.83-9.82]; p < .001).

Conclusion

Advanced nodal stage was associated with reduced rates of salvage TL in the setting of local recurrence, and subsequent worse prognosis after recurrence. Conversely, advanced nodal stage may increase the risk for functional salvage TL in patients without recurrence.

Level of evidence

Level 3.