Postoperative Opioid Use in Sinonasal Surgery.

OBJECTIVE: To survey patients following sinonasal surgery regarding postoperative pain and opioid use. STUDY DESIGN: Patients were surveyed for 4 days following sinus and/or nasal surgery regarding their pain level and use of prescribed opioids. SETTING: Four academic medical centers and 1 private practice institution. SUBJECTS: Consecutive adult patients undergoing sinonasal surgery. RESULTS: A total of 219 subjects met criteria and were included for analysis; 134 patients (61%) took 5 or fewer combination oxycodone (5-mg) and acetaminophen (325-mg) tablets in the first 3 postoperative days, and 196 patients (89.5%) took fewer than 15. Fifty-one patients (23%) consumed no opioid pain medication. Opioid consumption was positively correlated with postoperative pain ( R2 = 0.2, P < .01) but was not correlated with the use of acetaminophen ( R2 = 0.002, P = .48). No significant difference in postoperative pain or opioid consumption was seen with respect to age, sex, specific procedures performed, postoperative steroids, or smoking history. Current smokers reported higher average pain than nonsmokers ( P < .001) and also required more postoperative opioids ( P = .02). CONCLUSIONS: An evidence-based approach to postoperative pain control following sinonasal surgery that reduces the number of unused and potentially diverted opioids is needed. The current study suggests that 15 combination oxycodone (5-mg) and acetaminophen (325-mg) tablets provide sufficient pain control for 90% of patients in the immediate postoperative period following sinonasal surgery, irrespective of the specific procedures performed, use of acetaminophen, or use of systemic steroids. Smoking status may help surgeons predict which patients will require larger opioid prescriptions.

Safety and tolerability of surfactant nasal irrigation.

BACKGROUND: Abnormal mucus composition and bacterial biofilms are thought to contribute to the pathophysiology of rhinosinusitis. Addition of a mucoactive surfactant to saline irrigation solution has been hypothesized to address these factors. We evaluated the safety and tolerability of a reformulated surfactant in a sample of normal subjects. METHODS: A total of 33 volunteers were randomly assigned to receive either surfactant solution or buffered saline at baseline in a controlled crossover study design. Each subject underwent rhinoscopic exam and in-office smell testing via the 40-question smell identification test (SIT). Those with non-normosmic results or active rhinitis symptoms were excluded. Subjects were instructed to irrigate twice daily with the selected solution for 1 week while keeping a daily diary. For week 2, treatment was stopped. During week 3, each group switched to the other treatment. Exam, SIT, and degree of congestion were assessed after each phase. RESULTS: Use of surfactant led to a marginal reduction in mean SIT score of 1.5 points, which was statistically significant (p = 0.012). A clinically meaningful reduction in SIT score, defined as ≥4 points, was observed in 18% (6/33) of subjects after surfactant vs 3% (1/33) after saline (p = 0.046). During the surfactant phase, moderate or severe congestion was reported in 29% (8/28) of subjects completing the diary. In contrast, only 6% (2/32) of subjects reported moderate congestion after the saline phase (p = 0.021). CONCLUSION: In normal volunteers, surfactant nasal irrigation may be associated with tolerability issues due to congestion. A subset may experience reduction in olfactory acuity that appears reversible.

Assessing Body Fat Changes during Moderate Weight Loss with Anthropometry and Bioelectrical Impedance.

BACKGROUND/OBJECTIVES: Monitoring changes in total fat mass and abdominal adiposity are important in understanding the impact of different types of weight loss interventions on health risks. Our objective was to assess the usefulness of anthropometry and bioelectrical impedance analysis (BIA) in predicting fat mass changes during moderate weight loss. SUBJECTS/METHODS: Fat mass changes were assessed in 34 overweight adults (24 females, 10 males) after a 12-week supervised weight loss induced by caloric restriction (-30% of requirement) using BIA and DXA. Agreement between BIA and DXA measurements were assessed by Bland-Altman plots. Linear regression modeling was used to predict body and truncal fat mass from anthropometric measures. RESULTS: Diet intervention resulted in a significant decrease in body weight (- 7.86 ± 2.87 kg), body mass index (BMI - 2.69 ± 0.98 kg/m(2)), total body fat (- 5.22 ± 2.32 kg), truncal fat (- 2.80 ± 1.94 kg) and waist circumference (- 5.52 ± 3.57 cm). BMI and body weight were highly correlated with body fat (0.83 and 0.92 in females and 0.94 and 0.92 in males respectively) and truncal fat (0.75 and 0.87 in females; 0.90 and 0.84 in males respectively) during weight loss. Waist circumference was more correlated with truncal fat in males than females (0.94 vs. 0.85 in females). Compared to DXA, BIA underestimated total body fat changes in males (- 8.8 kg, p<0.001) and overestimated total body fat changes in females (+ 2.1 kg, p< 0.001). CONCLUSIONS: Body mass index, body weight, and waist circumference provide simple and more accurate than BIA estimates of relative changes in total and truncal fat during moderate weight loss in adults.

Validity of a multisensor armband in estimating 24-h energy expenditure in children.

UNLABELLED: Physical activity (PA) and energy expenditure (EE) in children are frequently assessed using portable activity monitors. Algorithms used to predict EE by these monitors are often based on adult populations and may not be accurate for children. PURPOSE: To evaluate the accuracy of the SenseWear Pro Armband (SWA) for assessing EE in African American children during treadmill exercise, sedentary activities, rest, sleep, and total 24-h EE, using indirect room calorimetry (IRC) as a reference standard. METHODS: Participants were healthy African American children (10 boys, 11 girls; age: 11.6 +/- 0.9 yr; weight: 47.3 +/- 13.0 kg; height: 151.6 +/- 8.8 cm; BMI: 20.4 +/- 4.8 kg.m). EE was measured simultaneously using IRC and SWA during a 24-h stay in the IRC. Recorded activities included sedentary behaviors, treadmill exercise, rest periods, and sleep. Results from both methods were matched minute-by-minute and compared by Bland-Altman plot. Multiple linear regression analysis was used to describe the relationship between EE assessed by both methods and children's descriptive characteristics. RESULTS: SWA overestimated EE compared with IRC during all activities and time periods, ranging from 116% during sleep to 143% during rest after treadmill exercise. The SWA-predicted EE was improved by using linear regression modeling. Simple equations for sedentary activities and treadmill exercise were EE [kcal.min] = 0.462EE (SWA) [kcal.min] + 0.015 x body weight [kg], and EE [kcal.min] = 0.637EE (SWA) [kcal.min] + 0.034 x body weight [kg], respectively. The prediction equation for RMR was RMR [kcal.min] = 0.453EE (SWA) [kcal.min] + 0.011 x body weight [kg]. CONCLUSION: EE estimated using SWA was significantly higher than EE measured using IRC in African American children ages 10-14 yr. Bias in individual EE estimated using SWA could be improved by an adjustment for the body weight of a child. The SWA manufacturer should work with researchers on improving existing algorithms for children.