Factors affecting adherence to intranasal treatment for allergic rhinitis: A qualitative study.

Objective: To determine the facilitators of and barriers to adherence to use of intranasal pharmacotherapy (daily intranasal corticosteroids and/or antihistamine, and nasal saline irrigation [NSI]), for allergic rhinitis (AR). Methods: Patients were recruited from an academic tertiary care rhinology and allergy clinic. Semi-structured interviews were conducted after the initial visit and/or 4-6 weeks following treatment. Transcribed interviews were analyzed using a grounded theory, inductive approach to elucidate themes regarding patient adherence to AR treatment. Results: A total of 32 patients (12 male, 20 female; age 22-78) participated (seven at initial visit, seven at follow-up visit, and 18 at both). Memory triggers, such as linking nasal routine to existing daily activities or medications, were identified by patients as the most helpful strategy for adherence at initial and follow-up visits. Logistical obstacles related to NSI (messy, takes time, etc.) was the most common concept discussed at follow-up. Patients modified the regimen based on side effects experienced or perceived efficacy. Conclusions: Memory triggers help patients adhere to nasal routines. Logistical obstacles related to NSI can deter from use. Health care providers should address both concepts during patient counseling. Nudge-based interventions that incorporate these concepts may help improve adherence to AR treatment. Level of Evidence: 2.

Sinus Surgery and Balloon Sinuplasty: What Do Patients Want to Know?

OBJECTIVE: Limited knowledge exists regarding the information patients seek online about sinus procedures. The goals of our study were to identify the most searched online queries regarding functional endoscopic sinus surgery (FESS) and balloon sinuplasty and evaluate the sources to which patients are directed. STUDY DESIGN: Observational. SETTING: Online Google Database. METHODS: Google data were analyzed using the search engine optimization tool Ahrefs. People Also Ask (PAA) questions (extracted from Google searches) helped identify questions for analysis of search query volume. Search results were categorized into specific topics, and the source (eg, academic vs medical practice) of the information was identified. The JAMA benchmark criteria were used to determine the quality of the online resource. RESULTS: The most searched term (average monthly queries) on Google was "sinus surgery" (13,190), followed by "balloon sinuplasty" (9212). For FESS and balloon sinuplasty, most questions focused on treatment of sinusitis (71.64% vs 79.19%) and preoperative inquiries about sinus issues (11.50% vs 11.35%). Answers to PAA questions for FESS were obtained from academic sources at a higher frequency compared to balloon sinuplasty (26.7% vs 10.3%, P = .016) but a lower frequency from medical practice websites (15.2% vs 29.3%, P = .042). The mean (SD) JAMA scores for FESS and balloon sinuplasty sources were 1.59 (1.46) and 1.40 (1.46), respectively. CONCLUSION: There is a high volume of online search queries regarding FESS and balloon sinuplasty. The quality of the sources could be improved by addressing authorship, attribution, disclosure, and currency. This information may help otolaryngologists better address patient queries.

Machine learning directed sentinel lymph node biopsy in cutaneous head and neck melanoma.

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.

Google Search Analysis: What Do People Want to Know About Rhinoplasty and Where Do They Find the Answers?

Background: During online search queries, Google uses machine learning algorithms to provide frequently associated ("People Also Ask" [PAA]) questions with corresponding websites answering the question. We aimed to identify the most frequent questions about rhinoplasty asked online and the sources used to answer them. Materials and Methods: PAA questions were extracted for the terms "rhinoplasty," "nose surgery," and "nose job." Questions were categorized into specific topics. Websites were categorized by type and assessed for quality using Journal of the American Medical Association (JAMA) benchmark criteria. A search engine optimization tool determined search volume for individual questions and specific topics. Results: Internet searches for the PAA questions (n = 102) and associated websites were related to preoperative factors (46%), cost (35.7%), and recovery timeline (7.3%). Sources for the answers to PAA questions were single surgeon personal (39.3%) and medical practice (20.6%) websites. Conclusions: Surgeons may wish to emphasize specific patient education topics, including preoperative factors, cost, and recovery timeline, on their websites to address the most frequently sought-after information regarding rhinoplasty online.

Positional Installation of Intranasal Corticosteroids in the Treatment of Chronic Rhinosinusitis: A Systematic Review of the Literature.

OBJECTIVES: First-line treatment of chronic rhinosinusitis includes topical corticosteroids aimed at decreasing inflammation of sinonasal mucosa. No guidelines exist regarding the effect of head position during administration of corticosteroids. We hypothesize certain positions enhance delivery to the paranasal sinuses, with further improvement in delivery after sinus surgery. METHODS: A systematic review of the literature was conducted using Medline Ovid, Embase, Scopus, and Cochrane databases. All studies evaluating intranasal medications administered in 2 or more head positions were included. Study population, head position(s), method/volume of delivery, and outcome metrics were recorded. RESULTS: Twenty-four studies compared head positions and their role in distribution of intranasal medication. Of 12 papers studying surgically naive subjects, 6 found improvement in delivery to specific sinonasal regions (middle meatus; lateral, superior, or posterior nasal cavity) and/or symptomatic improvement, in the lying head back (LHB) or head down and forward (HDF) positions, but only 3 reached statistical significance. Of 12 papers studying surgically altered patients, 10 found delivery improved in the HDF, LHB, and head forward 45° or 90° positions. Of 5 studies of extended frontal sinus procedures (Draf IIb/III), a majority found distribution to the frontal sinus improved with the head forward 90° position. Patients found the HDF position most uncomfortable. CONCLUSIONS: Studies found no statistically significant difference in distribution to unoperated sinuses among different head positions. A minority of studies supported the use of the LHB and HDF positions. This suggests that in surgically naive patients, intranasal corticosteroid delivery to sinonasal regions and/or symptomatic improvement may be best achieved with the sinuses positioned inferior to the delivery device. Surgery improved distribution to the paranasal sinuses regardless of head position, although tilting the head forward 90° was particularly effective in delivery to the frontal sinus after extended frontal sinus procedures.

Distinct requirements for intra-ER sorting and budding of peroxisomal membrane proteins from the ER.

During de novo peroxisome biogenesis, importomer complex proteins sort via two preperoxisomal vesicles (ppVs). However, the sorting mechanisms segregating peroxisomal membrane proteins to the preperoxisomal endoplasmic reticulum (pER) and into ppVs are unknown. We report novel roles for Pex3 and Pex19 in intra-endoplasmic reticulum (ER) sorting and budding of the RING-domain peroxins (Pex2, Pex10, and Pex12). Pex19 bridged the interaction at the ER between Pex3 and RING-domain proteins, resulting in a ternary complex that was critical for the intra-ER sorting and subsequent budding of the RING-domain peroxins. Although the docking subcomplex proteins (Pex13, Pex14, and Pex17) also required Pex19 for budding from the ER, they sorted to the pER independently of Pex3 and Pex19 and were spatially segregated from the RING-domain proteins. We also discovered a unique role for Pex3 in sorting Pex10 and Pex12, but with the docking subcomplex. Our study describes an intra-ER sorting process that regulates segregation, packaging, and budding of peroxisomal importomer subcomplexes, thereby preventing their premature assembly at the ER.