ABSTRACT
Primary vocal cord aspergillosis is extremely rare in immunocompetent individuals, in whom lesions are mainly confined to the larynx, with the possibility of tracheal and bronchial infection largely ignored. In this article, we present a case of primary vocal cord aspergillosis involving the trachea and bronchus in a previously healthy 55-year-old woman. Our case highlights that vocal cord aspergillosis can involve the trachea and bronchus and that laryngoscopy alone may be insufficient to secure a comprehensive diagnosis in healthy patients presenting with hoarseness, pharyngalgia, and normal chest radiography. Furthermore, influenza B virus infection may be a risk factor for this rare disease.
ABSTRACT
PURPOSE: To determine obstructive sleep apnea (OSA) phenotypes using cluster analysis including variables of sleep perception and sleep quality and to further explore factors correlated with poor sleep quality in different clusters. METHODS: This retrospective study included patients with OSA undergoing polysomnography (PSG) between December 2020 and April 2022. Two-step cluster analysis was performed to detect distinct clusters using sleep perception variables including discrepancy in total sleep time (TST), sleep onset latency (SOL), and wakefulness after sleep onset (WASO); objective TST, SOL, and WASO; and sleep quality. One-way analysis of variance or chi-squared tests were used to compare clinical and PSG characteristics between clusters. Binary logistic regression analyses were used to explore factors correlated with poor sleep quality. RESULTS: A total of 1118 patients were included (81.6% men) with mean age ± SD 43.3 ± 13.1 years, Epworth sleepiness score, 5.7 ± 4.4, and insomnia severity index 3.0 ± 2.4. Five distinct OSA clusters were identified: cluster 1 (n = 254), underestimated TST; cluster 2 (n = 158), overestimated TST; cluster 3 (n = 169), overestimated SOL; cluster 4 (n = 155), normal sleep discrepancy and poor sleep quality; and cluster 5 (n = 382), normal sleep discrepancy and good sleep quality. Patients in cluster 2 were older, more commonly had hypertension, and had the lowest apnea-hypopnea index and oxygen desaturation index. Age and sleep efficiency were correlated with poor sleep quality in clusters 1, 2, and 5, and also AHI in cluster 2. CONCLUSION: Subgroups of patients with OSA have different patterns of sleep perception and quality that may help us to further understand the characteristics of sleep perception in OSA and provide clues for personalized treatment.
