Background and Objectives: This case series is aimed to introduce a new term, antrovestibular polyp (AVP), for an antral polyp herniating anteriorly toward the nasal vestibule and to describe an antral polyp direction of growth through the anterior and posterior fontanelles.Materials and Method: This is a retrospective study involving review of patients who underwent surgery due to maxillary sinus polyp herniating anteriorly toward the nasal vestibular area or posteriorly toward the choana at a tertiary training hospital from January 2007 through July 2016. Their demographic data, computed tomography scan findings, and endoscopic evaluations were analyzed. Results This study included 49 subjects; 8 (16.33%, 6 males) with AVP and 41 (83.67%, 24 males) with antrochoanal polyps (ACP). The mean ages of AVP and ACP patients were 9 and 14.4 years, respectively (p=0.006). The subjects were identified as AVP when computed tomography scan showed an antral polyp directed anteriorly toward the nasal vestibular area, while polyps growing toward the choana were identified as ACP. Endoscopic review showed that AVP grew out through an accessory ostium located anterior to the uncinate process at the area of the anterior fontanelle, while ACP started from an accessory ostium of the posterior fontanelle or a widened maxillary natural ostium.

Background: This study compared hearing outcomes with use of personal sound amplification products (PSAPs) and hearing aids (HAs) in patients with moderate to moderately severe unilateral hearing loss. Methods: Thirty-nine participants were prospectively enrolled, and randomly assigned to use either one HA (basic or premium type) or one PSAP (basic or high-end type) for the first 8 weeks and then the other device for the following 8 weeks. Participants underwent a battery of examinations at three visits, including sound-field audiometry, word recognition score (WRS), speech perception in quiet and in noise, real-ear measurement, and self-report questionnaires. Results: Functional gain was significantly higher with HAs across all frequencies (P < 0.001). While both PSAPs and HAs improved WRS from the unaided condition, HAs were superior to PSAPs. The speech recognition threshold in quiet conditions and signal-to-noise ratio in noisy conditions were significantly lower in the HA-aided condition than in the PSAP-aided condition, and in the PSAP-aided condition than in the unaided condition. Subjective satisfaction also favored HAs than PSAPs in questionnaires, Abbreviated Profile of Hearing Aid Benefit, International Outcome Inventory for Hearing Aids, and Host Institutional Questionnaire. Conclusion While PSAPs provide some benefit for moderate to moderately severe unilateral hearing loss, HAs are more effective. This underscores the potential role of PSAPs as an accessible, affordable first-line intervention in hearing rehabilitation, particularly for individuals facing challenges in accessing conventional HAs.

OBJECTIVES: To develop a simple algorithm for prescreening of obstructive sleep apnea (OSA) on the basis of respiratorysounds recorded during polysomnography during all sleep stages between sleep onset and offset. METHODS: Patients who underwent attended, in-laboratory, full-night polysomnography were included. For all patients, audiorecordings were performed with an air-conduction microphone during polysomnography. Analyses included allsleep stages (i.e., N1, N2, N3, rapid eye movement, and waking). After noise reduction preprocessing, data were segmentedinto 5-s windows and sound features were extracted. Prediction models were established and validated with10-fold cross-validation by using simple logistic regression. Binary classifications were separately conducted for threedifferent threshold criteria at apnea hypopnea index (AHI) of 5, 15, or 30. Prediction model characteristics, includingaccuracy, sensitivity, specificity, positive predictive value (precision), negative predictive value, and area under thecurve (AUC) of the receiver operating characteristic were computed. RESULTS: A total of 116 subjects were included; their mean age, body mass index, and AHI were 50.4 years, 25.5 kg/m2, and23.0/hr, respectively. A total of 508 sound features were extracted from respiratory sounds recorded throughoutsleep. Accuracies of binary classifiers at AHIs of 5, 15, and 30 were 82.7%, 84.4%, and 85.3%, respectively. Predictionperformances for the classifiers at AHIs of 5, 15, and 30 were AUC, 0.83, 0.901, and 0.91; sensitivity, 87.5%,81.6%, and 60%; and specificity, 67.8%, 87.5%, and 94.1%. Respective precision values of the classifiers were89.5%, 87.5%, and 78.2% for AHIs of 5, 15, and 30. CONCLUSION: This study showed that our binary classifier predicted patients with AHI of ≥15 with sensitivity and specificityof >80% by using respiratory sounds during sleep. Since our prediction model included all sleep stage data, algorithmsbased on respiratory sounds may have a high value for prescreening OSA with mobile devices.
Apnea ; Area Under Curve ; Body Mass Index ; Classification ; Humans ; Logistic Models ; Machine Learning ; Noise ; Polysomnography ; Respiratory Sounds ; ROC Curve ; Sensitivity and Specificity ; Sleep Apnea, Obstructive ; Sleep Stages ; Sleep, REM

BACKGROUND AND OBJECTIVES: Obstructive sleep apnea (OSA) is highly prevalent in commercial vehicle operators (CMVOs). This study aimed to evaluate the poor sleep quality, daytime sleepiness, and the prevalence of self-reported OSA in CMVOs. SUBJECTS AND METHOD: We performed a retrospective review of the medical records of patients who visited a single institution with sleep problems from 2011 January to 2016 December. Among the patients, a total of 38 CMVOs was analyzed. Clinical information, questionnaires about sleep quality (Pittsburg sleep questionnaire, PSQI), excessive daytime sleepiness (Epworth sleepiness scale, ESS) and risk factors for OSA (STOP-Bang) were analyzed. The frequency of motor vehicle accidents and near accidents was assessed, and polysomnography (PSG) was used for OSA diagnosis purposes. RESULTS: The mean age of the study population was 45.3±11.8 years. The average score of PSQI, ESS, and STOP-Bang were 6.75±4.22, 10.79±7.12, and 4.62±3.34, respectively. A significant association between near accidents and high-risk group of OSA was observed [odds ratio (OR)=2.73, 95% confidence interval (CI)=1.08–4.48]. Subjects with poor sleep quality showed significantly increased risk of near accidents (OR=2.34, 95% CI=1.01–3.56). Receiver operating characteristic curves of STOP-Bang questionnaire using apnea-hypopnea index (cut-off value=5) indicates that suspected OSA group predicted by STOP-Bang score was significantly correlated with OSA severity (area under curve=0.72, sensitivity 77.1%, specificity 59.4%). CONCLUSION: Administration of STOP-Bang questionnaire before a PSG can identify high-risk subjects, supporting its further use in OSA screening of CMVOs.
Diagnosis ; Humans ; Korea ; Mass Screening ; Medical Records ; Methods ; Motor Vehicles ; Polysomnography ; Prevalence ; Retrospective Studies ; Risk Factors ; ROC Curve ; Sensitivity and Specificity ; Sleep Apnea, Obstructive ; Surveys and Questionnaires

PURPOSE: To evaluate the Japanese Epidemiological Survey of Refractory Eosinophilic Chronic Rhinosinusitis (JESREC) classification, a clinical scoring system, for predicting disease control status in chronic rhinosinusitis with nasal polyps (CRSwNP) and to investigate prognostic factors. MATERIALS AND METHODS: In total, 134 CRSwNP patients who underwent functional endoscopic sinus surgery after maximal medical treatment were enrolled. These patients were categorized into four groups according to JESREC classification: 1) non-eosinophilic CRSwNP (non-ECRSwNP), 2) mild eosinophilic CRSwNP (ECRSwNP), 3) moderate ECRSwNP, and 4) severe ECRSwNP. Disease control status among the patients was evaluated at 1 year after surgery, and the patients were divided into two groups (disease-controlled and disease-uncontrolled groups) for the investigation of prognostic factors. RESULTS: There was no significant difference in disease control status between non-ECRSwNP and ECRSwNP groups (p=0.970). Age, Lund-Mackay CT scores, global osteitis scores, tissue neutrophil count, and tissue eosinophil count were associated with disease control status. In subgroup analysis of the non-ECRSwNP group, only high tissue neutrophil count was related with disease control status, whereas for the ECRSwNP group, young age, high Lund-Mackay CT scores, high global osteitis scores, and high tissue and blood eosinophil counts were associated with disease control status. CONCLUSION: No difference in disease control status was identified between non-ECRSwNP and ECRSwNP cases. Tissue neutrophilia, however, appeared to be associated with disease control status in non-ECRSwNP cases, whereas tissue and blood eosinophilia was associated with ECRSwNP cases.
Asian Continental Ancestry Group ; Classification ; Eosinophilia ; Eosinophils ; Humans ; Nasal Polyps ; Neutrophils ; Osteitis ; Prognosis ; Sinusitis

BACKGROUND AND OBJECTIVES: Obstructive sleep apnea (OSA) is highly prevalent in commercial vehicle operators (CMVOs). This study aimed to evaluate the poor sleep quality, daytime sleepiness, and the prevalence of self-reported OSA in CMVOs.SUBJECTS AND METHOD: We performed a retrospective review of the medical records of patients who visited a single institution with sleep problems from 2011 January to 2016 December. Among the patients, a total of 38 CMVOs was analyzed. Clinical information, questionnaires about sleep quality (Pittsburg sleep questionnaire, PSQI), excessive daytime sleepiness (Epworth sleepiness scale, ESS) and risk factors for OSA (STOP-Bang) were analyzed. The frequency of motor vehicle accidents and near accidents was assessed, and polysomnography (PSG) was used for OSA diagnosis purposes. RESULTS: The mean age of the study population was 45.3±11.8 years. The average score of PSQI, ESS, and STOP-Bang were 6.75±4.22, 10.79±7.12, and 4.62±3.34, respectively. A significant association between near accidents and high-risk group of OSA was observed [odds ratio (OR)=2.73, 95% confidence interval (CI)=1.08–4.48]. Subjects with poor sleep quality showed significantly increased risk of near accidents (OR=2.34, 95% CI=1.01–3.56). Receiver operating characteristic curves of STOP-Bang questionnaire using apnea-hypopnea index (cut-off value=5) indicates that suspected OSA group predicted by STOP-Bang score was significantly correlated with OSA severity (area under curve=0.72, sensitivity 77.1%, specificity 59.4%). CONCLUSION Administration of STOP-Bang questionnaire before a PSG can identify high-risk subjects, supporting its further use in OSA screening of CMVOs.

Background and Objectives: The quality of life after thyroidectomy, such as voice change, is considered to be as important as control of the disease. In this study, we aimed to evaluate changes in both subjective and objective voice parameters after thyroidectomy resulting in normal morbidity of the vocal cords.Materials and Method In this prospective cohort study, 204 patients who underwent thyroidectomy with or without central neck dissection at a single referral center from Feb 2015 to Aug 2016 were enrolled. All patients underwent prospective voice evaluations including both subjective and objective assessments preoperatively and then at 2 weeks, 3, 6, and 12 months postoperatively. Temporal changes of the voice parameters were analyzed. Results: Values of the subjective assessment tool worsened during the early postoperative follow-up period and did not recover to the preoperative values at 12 months postoperatively. The maximal phonation time gradually decreased, whereas most objective parameters, including maximal vocal pitch (MVP), reached preoperative values at 3–6 months postoperatively. The initial decrease in MVP was significantly greater in patients undergoing total thyroidectomy, and their MVP recovery time was faster than that of patients undergoing lobectomy (p=0.001). Patients whose external branch of the superior laryngeal nerve was confirmed intact by electroidentification showed no difference in recovery speed compared with patients without electroindentification (p=0.102), although the initial decrease in MVP was lower with electroidentification. Conclusion Subjective assessment in voice quality and maximal phonation time after thyroidectomy did not show recovery to preoperative values. Aggravation of MVP was associated with surgical extent and electroidentification.