Background Several prospective studies report improved outcomes with pretreatment nutrition interventions prior to radiation therapy for head and neck cancer (HNC), but none have assessed similar interventions before surgery for HNC. Methods POINT, a pilot randomized controlled trial, was conducted to evaluate a multimodal nutrition intervention. Patients undergoing primary surgery with free flap reconstruction for HNC were randomly assigned to the control arm or a preoperative multimodal nutrition intervention. Results POINT included 49 patients. Nutrition risk scores did not change significantly for either the intervention or control group. Control patients had a significant decrease in body weight in the preoperative period (p < 0.001). Conversely, weight among intervention patients did not significantly decrease (p = 0.680). The intervention mitigated weight loss in patients with dysphagia (p = 0.001). Conclusions Preoperative nutrition optimization shows potential to reduce weight loss normally experienced by patients with head and neck cancer prior to surgical extirpation, especially among those with subjective dysphagia.

BackgroundDysfunction in the olfactory, auditory, and vestibular systems are commonly seen in aging and are associated with dementia. The impact of sensory loss(es) on cognition is not well understood. Our aim was to assess the relationships between performance on objective multisensory testing and quantify the impact of dysfunction on cognition.MethodsPatients presenting with subjective hearing loss presenting to a tertiary care otologic/audiologic clinic were identified and underwent multisensory testing using the Affordable, Rapid Olfactory Measurement Array (AROMA), pure tone audiometric evaluations, and the Timed “Up and Go” test. Cognitive impairment (CI) was assessed via the Montreal Cognitive Assessment (MoCA) was also administered.Key Results180 patients were enrolled. Thirty one percentage (n = 57) screened positive for cognitive impairment. When evaluating single sensory impairments, we found that olfactory dysfunction, gait impairment, and sensorineural hearing loss were all statistically significantly (p &lt; 0.05) associated with a higher risk of cognitive impairment (ORs 3.89, 3.49, and 2.78, respectively) for CI. Multisensory impairment was significantly associated with cognitive impairment. Subjects with dysfunction in all domains were at the highest risk for cognitive impairment (OR 15.7, p &lt; 0.001) vs. those with impairment in 2 domains (OR 5.32, p &lt; 0.001).ConclusionDysfunction of the olfactory, auditory, and vestibular systems is associated with a significantly increased risk of CI. The dramatically increased risk of CI with multisensory dysfunction in all three systems indicated that MSD may synergistically contribute to CI.

Background The specificity of sentinel lymph node biopsy (SLNB) for detecting lymph node metastasis in head and neck melanoma (HNM) is low under current National Comprehensive Cancer Network (NCCN) treatment guidelines. Methods Multiple machine learning (ML) algorithms were developed to identify HNM patients at very low risk of occult nodal metastasis using National Cancer Database (NCDB) data from 8466 clinically node negative HNM patients who underwent SLNB. SLNB performance under NCCN guidelines and ML algorithm recommendations was compared on independent test data from the NCDB (n = 2117) and an academic medical center (n = 96). Results The top‐performing ML algorithm (AUC = 0.734) recommendations obtained significantly higher specificity compared to the NCCN guidelines in both internal (25.8% vs. 11.3%, p < 0.001) and external test populations (30.1% vs. 7.1%, p < 0.001), while achieving sensitivity >97%. Conclusion Machine learning can identify clinically node negative HNM patients at very low risk of nodal metastasis, who may not benefit from SLNB.