Search

Objectives/hypothesis: The aims were to determine health-related quality of life (HRQoL), including voice problems, dysphagia, depression, and anxiety after total laryngectomy (TL), and investigate the associations between HRQoL and the late effects., Study Design: Cross-sectional study., Methods: 172 participants having received a TL 1.6 to 18.1 years ago for laryngeal/hypopharyngeal cancer filled in the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire, Core and Head and Neck module (EORTC QLQ-C30, EORTC QLQ-H&N35), Voice-Related Quality of Life questionnaire (V-RQOL), M.D. Anderson Dysphagia Inventory (MDADI), and Hospital Anxiety and Depression Scale (HADS) questionnaires., Results: Participants scored worse than normative reference populations on all scales/items of the EORTC questionnaires, except one, and almost half of the scales/items showed a clinically relevant difference. Moderate/severe dysphagia was present in 46%, moderate/severe voice problems in 57%, depression in 16%, and anxiety in 20%. Decreasing age, increasing numbers of comorbidities, increasing voice problems, increasing dysphagia, and increasing depression symptoms, were associated with a lowered EORTC QLQ-C30 summary score., Conclusion: A substantial proportion of participants experienced clinically significant late effects and increasing levels of these were associated with a lowered HRQoL., Level of Evidence: 3 Laryngoscope, 132:980-988, 2022., (© 2021 The American Laryngological, Rhinological and Otological Society, Inc.)

Objective: The World Health Organization classification (WHOC) 2017 of low-grade versus high-grade laryngeal dysplasia recently replaced the previous WHOC 2005 of mild, moderate, and severe dysplasia and carcinoma in situ. Our objectives were to compare the interrater agreement of the WHOC 2017 with that of the WHOC 2005 and to test the intra-rater agreement of the WHOC 2005., Methods: Two expert head and neck pathologists rated 211 tissue samples that were initially diagnosed with laryngeal precursor lesions. The samples were rated twice according to the WHOC 2005 and once according to the WHOC 2017; estimates of interrater and intrarater agreements were calculated with kappa statistics., Results: The crude intrarater agreements using the WHOC 2005 were 0.93 for rater 1 and 0.62 for rater 2. The corresponding unweighted kappa values were 0.90 (95% confidence interval [CI], 0.86-0.95) for rater 1 and 0.43 (95% CI, 0.35-0.54) for rater 2, whereas the standard linear weighted kappa values were 0.93 (95% CI, 0.90-0.97) for rater 1 and 0.60 (95% CI, 0.53-0.69) for rater 2. The crude interrater agreement for the WHOC 2005 was 0.57, with a corresponding unweighted kappa value 0.38 (95% CI, 0.31-0.48) and a standard linear weighted kappa value 0.52 (95% CI, 0.42-0.60). The crude interrater agreement for the WHOC 2017 was 0.83, with a corresponding unweighted kappa value 0.45 (95% CI, 0.31-0.59) and a standard linear weighted kappa value 0.46 (95% CI, 0.30-0.60)., Conclusion: Our results indicate difficulties in providing reliable diagnosis of laryngeal precursor lesions, even with experienced head and neck pathologists and the application of a newly revised classification system., Level of Evidence: 4. Laryngoscope, 128:2375-2379, 2018., (© 2018 The American Laryngological, Rhinological and Otological Society, Inc.)

Objectives: The Ni classification of vascular change from 2011 is well documented for evaluating pharyngeal and laryngeal lesions, primarily focusing on cancer. In the planning of surgery it may be more relevant to differentiate neoplasia from non-neoplasia. We aimed to evaluate the ability of the Ni classification to predict laryngeal or hypopharyngeal neoplasia and to investigate if a changed cutoff value would support the recent European Laryngological Society (ELS) proposal of perpendicular vascular changes as indicative of neoplasia., Data Sources: PubMed, Embase, Cochrane, and Scopus databases., Review Methods: A systematic review and meta-analysis was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis statement. We systematically searched for publications from 2011 until 2016. All retrieved studies were reviewed and qualitatively assessed. The pooled sensitivity and specificity of the Ni classification with two different cutoffs were calculated, and bubble and summary receiver operating characteristics plots were created., Results: The combined sensitivity of five studies (n = 687) with Ni type IV-V defined as test-positive was 0.89 (95% confidence interval [CI]: 0.76-0.95), and specificity was 0.82 (95% CI: 0.72-0.89). The equivalent combined sensitivity of four studies (n = 624) with Ni type V defined as test-positive was 0.82 (95% CI: 0.75-0.87), and specificity was 0.93 (95% CI: 0.82-0.97)., Conclusions: The diagnostic accuracy of the Ni classification in predicting neoplasia was high, without significant difference between the two analyzed cutoff values. Implementation of the proposed ELS classification of vascular changes seems reasonable from a clinical perspective, with comparable accuracy. Attention must be drawn to the accompanying risk of exposing patients to unnecessary surgery. Laryngoscope, 128:168-176, 2018., (© 2017 The American Laryngological, Rhinological and Otological Society, Inc.)

Objectives/hypothesis: The effects of smoking on endonasal geometry and airflow remain largely unknown. Our study examined the relationship between smoking status and objective measures of nasal cavity dimensions, nasal congestion, and nasal airflow, using acoustic rhinometry (AR) and peak nasal inspiratory flow (PNIF)., Study Design: Cross-sectional study., Methods: Included in the study were 2,523 consecutive patients referred for evaluation of chronic nasal or sleep-related complaints. Smoking history was recorded, and AR and PNIF were measured at baseline and after decongestion of the nasal mucosa. Minimal cross-sectional areas (MCA), nasal cavity volumes (NCV), and PNIF, as well as quantified reversible mucosal congestion based on nasal congestion indexes (NCI) were analyzed to reveal possible associations with smoking status. Linear and logistic regressions were applied adjusting for possible confounders., Results: Smokers exhibited lower values of MCA, NCV, and PNIF than nonsmokers, both at baseline and after decongestion. Further, smokers had a lower decongestive capacity of the nasal mucosa, reflected by lower NCI for AR measures. Cigarette consumption, expressed as either pack-years or cigarettes smoked per day, showed a similar inverse relationship with the rhinometric measures even though a linear dose-response relationship could not be established., Conclusions: We have clearly demonstrated that smokers exhibit lower MCA and NCV, achieve lower PNIF values, and have a less-compliant nasal mucosa than nonsmokers. Our results are unique, and provide evidence that smoking has adverse effects on the nasal airway, possibly due to mucosal inflammation. This might have further implications because altered nasal function could compromise the lower airways.

Objectives: The relationship between congestion of the nasal mucosa and subjective nasal obstruction remains poorly defined. Applying the novel Nasal Congestion Index (NCI), we compared subjective nasal obstruction with objective measures for reversible congestion of the nasal mucosa., Study Design: A total of 2,523 consecutive patients were included in this cross-sectional study. Eligible subjects were adults referred to the ENT department, Sørlandet Hospital, Kristiansand, Norway, for evaluation of chronic nasal or sleep-related complaints., Methods: Subjects underwent acoustic rhinometry (AR) and peak nasal inspiratory flow (PNIF) at baseline and after decongestion of the nasal mucosa. Based on these registrations, an NCI was calculated for minimal cross-sectional area (MCA), nasal cavity volume (NCV), and PNIF, and employed for quantification of reversible mucosal congestion. Subjective nasal obstruction was measured by nasal obstruction visual analogue scales (NO-VAS). Statistical analyses were based on ANOVA and multiple linear and logistic regression, adjusting for age, gender, body mass index, asthma, allergy, smoking history, and type of planned intervention., Results: Crude estimates indicated that the NCIs were significantly higher in subjects with severe complaints of nasal obstruction compared with subjects with lesser symptoms (P < .001). These associations were confirmed by linear and logistic regression analyses. NCI for MCA, NCV, and PNIF showed highly significant associations with subjective nasal obstruction (P < .001)., Conclusions: We have clearly demonstrated an association between subjective nasal obstruction and reversible congestion of the nasal mucosa by employing the NCI. The measure has proven to be useful for evaluating patients with complaints of nasal obstruction.