Comparative Analysis of Olfactory and Gustatory Function of Patients With COVID-19 Olfactory Dysfunction and Non-COVID-19 Postinfectious Olfactory Dysfunction.

BACKGROUND: Coronavirus disease 2019 (COVID-19) is known to have a high incidence of loss of smell and taste. However, studies in the early stages of the COVID-19 pandemic have evaluated these symptoms using subjective surveys and simple olfactory tests only. Hence, we compared the olfactory and gustatory characteristics of patient groups with COVID-19 olfactory dysfunction (C19OD) and non-COVID-19 postinfectious olfactory dysfunction (PIOD) using an objective olfactory test and evaluated the significance of olfactory training in both patient groups. METHODS: We retrospectively analyzed the medical records of 14 patients with a decreased sense of smell after having positive COVID-19 polymerase chain reaction results, and 56 patients with PIOD with no history of confirmed COVID-19. Participants were evaluated using the Korean version of the Sniffin' stick (KVSS) II, and chemical gustometry and olfactory training was assessed during their first visit. Olfactory training was then re-evaluated after an average of 8 (± 6) weeks. RESULTS: The average age of participants in the C19OD group was lower than in those in the non-COVID-19 PIOD group. The proportion of men in the C19OD group was higher than in the non-COVID-19 PIOD group. At baseline assessment, the C19OD group had better olfactory and gustatory functions. After olfactory training, the non-COVID-19 PIOD patient group showed a significant increase in all KVSS II Total, T, D, and I scores, but there was a non-significant increase in all scores in the C19OD group. CONCLUSION: The C19OD group had better olfactory and gustatory function than the non-COVID-19 PIOD group at the initial assessment. After olfactory training, there was an increase in olfactory function test scores in both groups. Olfactory training may be helpful in C19OD, as in non-COVID-19 PIOD.

The Olfactory System: Basic Anatomy and Physiology for General Otorhinolaryngologists.

Olfaction is one of the five basic human senses, and it is known to be one of the most primitive senses. The sense of olfaction may have been critical for human survival in prehistoric society, and although many believe its importance has diminished over time, it continues to have an impact on human interaction, bonding, and propagation of the species. Even if we are unaware of it, the sense of smell greatly affects our lives and is closely related to overall quality of life and health. Nonetheless, olfaction has been neglected from a scientific perspective compared to other senses. However, olfaction has recently received substantial attention since the loss of smell and taste has been noted as a key symptom of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Studies investigating olfaction loss in association with coronavirus disease 2019 (COVID-19) have revealed that olfactory dysfunction can be both conductive and sensorineural, possibly causing structural changes in the brain. Olfactory training is an effective treatment for olfactory dysfunction, suggesting the reorganization of neural associations. A reduced ability to smell may also alert suspicion for neurodegenerative or psychiatric disorders. Here, we summarize the basic knowledge that we, as otorhinolaryngologists, should have about the sense of smell and the peripheral and central olfactory pathways for managing and helping patients with olfactory dysfunction.

Exogenous Lipoxin A4 attenuates IL4-induced Mucin Expression in Human Airway Epithelial Cells.

Introduction: The proinflammatory cytokine interleukin-4 (IL-4) induces mucus hypersecretion by human airway epithelial cells and the MAP kinase signalling pathway may be important in terms of IL-4-induced MUC5AC gene expression. Lipoxin A4 (LXA4) is an arachidonic acid-derived mediator that promotes inflammation by binding to the anti-inflammatory receptors (ALXs) or the formyl-peptide receptor like-1 (FPRL1) protein expressed by airway epithelial cells. Here, we explore the effects of LXA4 on IL-4-induced mucin gene expression in, and secretion from, human airway epithelial cells. Methods: We co-treated cells with IL-4 (20 ng/mL) and LXA4 (1 nM) and measured the expression levels of mRNAs encoding MUC5AC and 5B via real-time polymerase chain reaction; protein expression levels were determined by Western blotting and immunocytofluorescence. The ability of IL-4 and LXA4 to suppress protein expression was determined by Western blotting. Results: IL-4 increased MUC5AC and 5B gene and protein expression. LXA4 suppressed IL-4-induced MUC5AC and 5B gene and protein expression by interacting with the IL4 receptor and mitogen-activated protein kinase (MAPK) pathway, including both phospho-p38 MAPK and phospho-extracellular signal-regulated kinase (phospho-ERK). IL-4 and LXA4 increased and decreased, respectively, the number of cells that stained with anti-MUC5AC and 5B antibodies. Conclusions: LXA4 may regulate mucus hypersecretion induced by IL4 in human airway epithelial cells.

Comparison of body size perception of young women in Korea and the United States.

Body size perception among young women in Asian and Western countries is believed to be quite different, however, there are no confirming studies. We analyzed the data from young women aged between 20 and 40 who participated in the National Health and Nutrition Examination Survey (2001-2018) of the United States (US) and Korea. US young women had higher rates of being overweight and obesity than Korean young women, and there was no significant change over 20 years. In both countries, the percentage of properly estimating one's own weight exceeded 70 percent and remained relatively steady. The percentage of overestimating one's own weight was only about 10 percent in Korea in 2001, but increased to 20 percent. In the case of the US, the percentage was about 15 percent in 2001-2002, but has since continued to decline. The percentage of underestimating one's own body weight was about 18 percent in Korea in 2001, but decreased to about 8 percent. In the case of the US, the percentage was very low at about 10 percent in 2001-2002, but gradually increased to about 18 percent in 2017-2018. In conclusion, young women in the US tend to underestimate their body size, and those in Korea tend to overestimate it.

Improving generalization performance of electrocardiogram classification models.

Objective.Recently, many electrocardiogram (ECG) classification algorithms using deep learning have been proposed. Because the ECG characteristics vary across datasets owing to variations in factors such as recorded hospitals and the race of participants, the model needs to have a consistently high generalization performance across datasets. In this study, as part of the PhysioNet/Computing in Cardiology Challenge (PhysioNet Challenge) 2021, we present a model to classify cardiac abnormalities from the 12- and the reduced-lead ECGs.Approach.To improve the generalization performance of our earlier proposed model, we adopted a practical suite of techniques, i.e. constant-weighted cross-entropy loss, additional features, mixup augmentation, squeeze/excitation block, and OneCycle learning rate scheduler. We evaluated its generalization performance using the leave-one-dataset-out cross-validation setting. Furthermore, we demonstrate that the knowledge distillation from the 12-lead and large-teacher models improved the performance of the reduced-lead and small-student models.Main results.With the proposed model, our DSAIL SNU team has received Challenge scores of 0.55, 0.58, 0.58, 0.57, and 0.57 (ranked 2nd, 1st, 1st, 2nd, and 2nd of 39 teams) for the 12-, 6-, 4-, 3-, and 2-lead versions of the hidden test set, respectively.Significance.The proposed model achieved a higher generalization performance over six different hidden test datasets than the one we submitted to the PhysioNet Challenge 2020.

Clinical Trial to Reconfirm the Efficacy and Safety of Cefetamet Pivoxil Treatment in Sinusitis Patients: A Double-Blind, Randomized, Parallel Designed, Multicenter, Active Comparator Study (CASIS Study).

OBJECTIVE: To evaluate the clinical efficacy and safety of cefetamet pivoxil for the treatment of acute bacterial rhinosinusitis in Korean patients compared to treatment with cefdinir. METHODS: A prospective, multicenter, randomized double-blind, comparative study was conducted by the Departments of Otorhinolaryngology-Head and Neck Surgery at 17 hospitals or universities in the Republic of Korea from March 2017 to April 2019. A total of 309 patients were screened and 249 patients participated in the study. RESULTS: Treatment with cefetamet pivoxil for 2 weeks showed 82.4% clinical cure and improvement rates in patients with acute bacterial rhinosinusitis compared to 84.68% in those taking cefdinir for 2 weeks, showing that cefetamet pivoxil administered twice a day for 2 weeks was as effective as cefdinir 3 times a day for 2 weeks for the treatment of acute bacterial rhinosinusitis. The overall adverse reaction rates of both drugs were 10.56% in the cefetamet pivoxil group and 15.49% in the cefdinir group, without serious adverse events or drug reactions. CONCLUSIONS: Cefetamet pivoxil twice a day was as efficacious and safe as cefdinir 3 times a day for the treatment of acute bacterial rhinosinusitis, which suggested that cefetamet pivoxil may be a suitable alternative to cefdinir.

Olfactory training assists in olfactory recovery after sinonasal surgery.

Objectives: Olfactory dysfunction is a common complaint in patients with chronic rhinosinusitis (CRS). The study aimed to evaluate the effectiveness of olfactory training (OT) in patients with CRS after sinonasal surgery. Methods: We enrolled 111 patients with CRS who underwent sinonasal surgery. Prior to surgery and 3 months after starting OT, the participants were assessed by both an olfactory function test and endoscopy. The Korean version of the Sniffin' Stick II (KVSS-II) was used to perform the olfactory function test. Over the course of 3 months, five odorants were used in OT (rose, lemon, cinnamon, orange, and peach). Results: Over a 12-week duration, 37% of the participants in the OT group showed clinically relevant increase in olfactory function. The OT group had significantly higher olfactory outcomes for the total KVSS-II and identification scores than the non-OT group between the initial and follow-up assessments. The initial score influenced the degree of olfactory improvement after OT. Conclusions: Patients with OT exhibited significantly higher total KVSS-II scores compared with non-OT patients following sinonasal surgery; in particular, the odor identification score was different between the two groups. The results of this study demonstrated that a 12-week period of repeated short-term exposure to various odors could be useful in enhancing olfactory activity in patients who underwent sinonasal surgery for the improvement of sensory-neural olfactory impairment. Level of evidence: 2c.

Lightweight Convolutional Neural Network for Real-Time Arrhythmia Classification on Low-Power Wearable Electrocardiograph.

In this study, a lightweight CNN-based electrocardiogram (ECG) classification model is implemented to operate it on a wearable device for real-time arrhythmia detection by efficiently reducing the number of parameters of the model. Ten second-windowed ECGs from three different public ECG databases were used to learn and classify them into four classes: normal sinus rhythm, atrial fibrillation, atrial premature contraction, and ventricular premature contraction. The model implemented in the workstation environment was converted using the TensorFlow Lite framework and then imported into an ARM Cortex-M4 architecture-based nRF52840 microprocessor. The proposed model shows high performance (97.7% accuracy and 97.4% F1 score) with reasonable execution time: 298ms and current consumption: 3.55mA at optimized for speed and execution time: 480ms and current consumption: 3.82mA at optimized for size, respectively.

CNN-based Two Step R Peak Detection Method: Combining Segmentation and Regression.

For semantic segmentation, U-Net provides an end-to-end trainable framework to detect multiple class objects from background. Due to its great achievements in computer vision tasks, U-Net has broadened its application to biomedical signal processing, especially, segmentation of waveforms in ECG signal. Despite its superior performance for QRS complex detection to other traditional signal processing methods, direct application of the U-Net to R peak detection has limitation since the U-Net structures tend to predict high probability around true peak. Such multiple detection results require additional process to determine a unique peak location in each QRS complex. In this study, we use a regression process to detect R peak instead of pixel-wise classification. Such regression process guarantees a unique peak location prediction. We collect data from resting ECG systems and wearable ECG devices as well as public ECG databases and the proposed model is trained on various combinations of the data sources. Especially, we investigate the robustness of the model for input data from the wearable devices when the model is trained by data from heterogeneous devices.

Increased incidence of leukemia in patients with obstructive sleep apnea: Results from the national insurance claim data 2007-2014.

PURPOSE: Prior research suggests a link between obstructive sleep apnea (OSA) and the likelihood of developing a variety of solid tumors; however, there are no studies assessing OSA and leukemia. This study is the first to identify a potential association between OSA and leukemia using data from the Korea National Health Insurance Service database. METHODS: A total of 162,646 patients (≥20 years of age and without any cancer history) newly diagnosed with OSA between 2011 and 2017 were included. A control group of 813,230 subjects was selected using propensity score matching based on age and sex. The mean follow-up time was 4.4 ± 2.0 years. The primary endpoint was newly diagnosed leukemia of any type. The leukemia hazard ratio (95% confidence interval [CI]) was calculated for patients with OSA and compared with that of patients in the control group. RESULTS: The incidence of leukemia among patients with OSA was significantly higher than that in the controls (1.35 [1.05-1.74]). The hazard ratio was the highest, 1.74 in those under 40 years, and gradually decreased with age, to 1.38 in those aged 40-65 years and 0.96 in those over 65. In particular, the incidence of lymphoid leukemia (2.06 [1.18-3.60]) was higher than that of myeloid (1.34 [1.00-1.81]) or unspecified leukemia (0.60 [0.20-1.58]). CONCLUSION: OSA is associated with an increased incidence of leukemia, particularly in patients younger than 40 years of age.

Aeroallergen Sensitization Status in South Korea From 2018 to 2021.

OBJECTIVES: Studies on the aeroallergen sensitization status of South Koreans based on large-scale data are lacking. METHODS: We analyzed data from 368,156 multiple allergosorbent tests collected by a domestic medical diagnosis company from 3,735 hospitals nationwide from 2018 to 2021. We additionally collected sex, age, and regional data. If the level of an aeroallergen was 0.35 IU/mL or more, the test result for that aeroallergen was defined as positive, and positive cases were defined as those where one aeroallergen was positive. The positive ratio (PR) for aeroallergens was calculated using positive cases. RESULTS: In total, 347,996 cases were analyzed, excluding cases with missing data. The percentage of positive cases was 56.7%, which was highest in adolescents (74.1%) and lowest in the elderly (47.0%). All four types of mites had high PRs (0.382-0.655), and mold had low PRs (0.023-0.058). Among pollens, the PRs of grasses were generally high (more than 0.14), followed by weeds (approximately 0.10), and the PRs of woods was less than 0.1. For animals, cats and dogs had the highest PRs, at 0.231 and 0.183, respectively. The value for cockroaches was also high, at 0.211. The PRs of indoor aeroallergens, such as mites, molds, and animals, were high in adolescents, and those of pollen and cockroaches were high in the elderly. In Jeju, the PR of Japanese cedars was extremely high (0.222). CONCLUSION: Koreans were found to be sensitized to a wide variety of aeroallergens. There were significant differences in sensitization patterns according to age and region.

Compressed Deep Learning to Classify Arrhythmia in an Embedded Wearable Device.

The importance of an embedded wearable device with automatic detection and alarming cannot be overstated, given that 15-30% of patients with atrial fibrillation are reported to be asymptomatic. These asymptomatic patients do not seek medical care, hence traditional diagnostic tools including Holter are not effective for the further prevention of associated stroke or heart failure. This is likely to be more so in the era of COVID-19, in which patients become more reluctant on hospitalization and checkups. However, little literature is available on this important topic. For this reason, this study developed efficient deep learning with model compression, which is designed to use ECG data and classify arrhythmia in an embedded wearable device. ECG-signal data came from Korea University Anam Hospital in Seoul, Korea, with 28,308 unique patients (15,412 normal and 12,896 arrhythmia). Resnets and Mobilenets with model compression (TensorFlow Lite) were applied and compared for the diagnosis of arrhythmia in an embedded wearable device. The weight size of the compressed model registered a remarkable decrease from 743 MB to 76 KB (1/10000), whereas its performance was almost the same as its original counterpart. Resnet and Mobilenet were similar in terms of accuracy, i.e., Resnet-50 Hz (97.3) vs. Mo-bilenet-50 Hz (97.2), Resnet-100 Hz (98.2) vs. Mobilenet-100 Hz (97.9). Here, 50 Hz/100 Hz denotes the down-sampling rate. However, Resnets took more flash memory and longer inference time than did Mobilenets. In conclusion, Mobilenet would be a more efficient model than Resnet to classify arrhythmia in an embedded wearable device.

Risk Model Establishment of Endoscopic Sinus Surgery for Patients with Chronic Rhinosinusitis: a Multicenter Study in Korea.

BACKGROUND: Endoscopic sinus surgery (ESS) is the mainstay treatment for refractory chronic rhinosinusitis (CRS). Since various factors may contribute to the surgical outcome, it is challenging for physicians to predict surgical outcomes. The aim of study was to analyze the prognostic factors of postoperative outcomes and to establish the prediction model with the risk factors that impact the postoperative outcomes. METHODS: Medical records of CRS patients who underwent ESS at 9 institutions in 2005, 2010, and 2016 were retrospectively reviewed. We classified the patients into 2 groups based on postoperative objective endoscopic outcomes. Demographics, nose-specific symptoms, olfactory function, eosinophil counts in blood (EoB) and nasal tissue (EoT), and Lund-Mackay CT score (LMS) were collected. Univariate and multivariate analyses were performed and established a prediction equation for postoperative endoscopic objective outcomes. RESULTS: In total (n = 1,249), 27.0% were not satisfied under postoperative endoscopic examination. Of 10 variables, LMS (> 5), sinus dominancy (maxillary sinus and ethmoid sinus), EoB (> 210), and EoT (> 100) were statistically significant in univariate analysis (P < 0.05, all). In multivariate analysis, EoT (> 100) and LMS (> 5) were significantly associated with poor postoperative outcome. Furthermore, 5 significant variables were employed to establish the risk model of postoperative outcomes and P (the value of prediction probability) = 1 / (1 + exp [-0.392 + 1.088 × EoT (> 100) + 0.123 × mean LMS (> 5) - 0.366 × sinus dominancy (maxillary) + 0.064 × sinus dominancy (similar) + 0.200 × EoB (4%) + 0.344 × EoB (> 210)] was developed. CONCLUSION: Tissue eosinophil count and radiographic severity predispose to a poorer outcome of ESS and the risk model established may be helpful to predict postoperative outcomes of ESS.

Efficacy and safety of rupatadine fumarate in the treatment of perennial allergic rhinitis: A multicenter, double-blinded, randomized, placebo-controlled, bridging study in Koreans.

BACKGROUND: The efficacy of rupatadine for the treatment of AR has been confirmed in numerous clinical studies, however there are very few studies on asian patients. OBJECTIVE: To assess the safety and efficacy of rupatadine fumarate in the treatment of Korean perennial allergic rhinitis (PAR) patients. METHODS: A multicenter, double-blind, randomized, placebo-controlled, comparative study of rupatadine fumarate and bepotastine besilate was conducted. Each group was administered rupatadine, bepotastine or placebo for 4 weeks. Primary parameters for efficacy included morning and evening symptom reduction from baseline at 4 weeks. Treatment safety and tolerability were evaluated according to a self-reported incidence and type of adverse events at each follow up visit. RESULTS: Rupatadine showed a significant reduction in symptoms at morning and evening evaluations, in both 5TSS (-5.69, P < 0.0006) and 4NTSS (-4.74, P < 0.0015) compared to placebo. There was a significant reduction from baseline for 5TSS (-65.4%, P = 0.002) and 4NTSS (-63.7%, P = 0.003) with rupatadine compared with placebo. At evening evaluations, there were significant reductions of 5TSS (-63.2%, P = 0.009) and 4NTSS (-61.6%, P = 0.013) for the rupatadine group. Compared with bepotastine, rupatadine showed greater reduction in the morning symptoms at 4 weeks. When individual symptoms were assessed with 12-hour reflective mean daily symptom score, rupatadine showed better efficacy than placebo in sneezing (P = 0.016) and rhinorrhea (P = 0.097). The rate of adverse events showed no statistical significance. CONCLUSIONS: Rupatadine is a safe and effective treatment option for Korean PAR patients and possibly a better choice over bepotastine for controlling morning symptom.

Prevalence and characteristics of S-point bleeding compared to non S-point bleeding in severe epistaxis / Prevalência e características do sangramento no S-point em comparação com outros pontos sangramento na epistaxe grave

Abstract Introduction Stamm's S-point is gaining importance as a bleeding focus in severe epistaxis. However, prevalence and features of S-point bleeding compared to non S-point bleeding have not been studied. Objective To investigate the characteristics of patients with S-point bleeding among those with severe epistaxis and to compare the factors involved in the treatment of epistaxis. Methods We retrospectively analyzed medical records of 268 patients admitted to the otorhinolaryngology department of Konkuk University Hospital and Chung-Ang University Hospital with epistaxis of which the bleeding focus clarified. Patients with anterior nasal bleeding (n = 129) were excluded. The study was conducted at the department of otorhinolaryngology from January 2008 to August 2019. Collected data included patients' demographic information, bleeding focus, body mass index underlying medical and sinonasal diseases, laboratory test results (initial hemoglobin, platelet count, and triglyceride level), use of anticoagulants, direction of epistaxis, initial and final treatments, and need for blood transfusion. Results The prevalence of S-point bleeding was 28.8% of non-anterior bleeding cases. Mean body mass index score was lower in the S-point group (23.41 ± 3.71) compared to the non S-point group (24.93 ± 3.97) (p = 0.039). Underweight patients tended to show a greater incidence of S-point bleeding (15.0%) than non S-point bleeding (2.0%) (p = 0.010). Incidence of anemia was higher in the S-point group (67.5%) than in the non S-point group (36.4%). Anemia (Odds ratio [OR]: 3.635; 95% confidence interval [CI]: 1.669-7.914, p = 0.001) and underweight (body mass index < 18.5, OR: 8.559, CI: 1.648-44.445, p = 0.011) were significantly associated with S-point bleeding. Conclusion Prevalence of S-point bleeding was significant, underlining the importance of examining the S-point in patients with severe epistaxis. Patients with S-point bleeding had lower body mass index scores and a higher incidence of anemia than those with non S-point bleeding.

Resumo Introdução O S-point de Stamm tem ganhado importância como foco de sangramento na epistaxe grave. Entretanto, a prevalência e as características do sangramento no S-point em comparação com o sangramento em outros locais ainda não foram estudadas. Objetivo Investigar as características dos pacientes com epistaxe grave com sangramento no S-point e comparar os fatores envolvidos no tratamento da epistaxe. Método Analisamos retrospectivamente os prontuários médicos de 268 pacientes internados no Departamento de Otorrinolaringologia do Konkuk University Hospital e do Chung-Ang University Hospital com epistaxe cujo foco hemorrágico foi esclarecido. Pacientes com sangramento anterior (n = 129) foram excluídos. O estudo foi feito no Departamento de Otorrinolaringologia de janeiro de 2008 a agosto de 2019. Os dados coletados incluíram informações demográficas dos pacientes, foco hemorrágico, índice de massa corporal doenças médicas e nasosinusais subjacentes, resultados de exames laboratoriais (hemoglobina, contagem de plaquetas e nível de triglicerídeos iniciais), uso de anticoagulantes, direção da epistaxe, tratamentos iniciais e finais e necessidade de transfusão de sangue. Resultados A prevalência de sangramento no S-point foi de 28,8% dos casos de sangramento não anterior. O índice de massa corpórea médio foi menor no grupo com sangramento no S-point (23,41 ± 3,71) em comparação com o grupo não S-point (24,93 ± 3,97) (p = 0,039). Pacientes com baixo peso tenderam a apresentar maior incidência de sangramento no S-point (15,0%) do que sangramento em ponto não S (2,0%) (p = 0,010). A incidência de anemia foi maior no grupo com sangramento no S-point (67,5%) do que no grupo não S-point (36,4%). A anemia (odds ratio [OR]: 3,635; intervalo de confiança de 95% [IC95%]: 1,669-7,914, p = 0,001) e o baixo peso (IMC < 18,5, OR: 8,559, IC95%: 1,648-44,445, p = 0,011) foram significantemente associados com sangramento no S-point. Conclusão A prevalência de sangramento no S-point foi significativa, enfatizou a importância de examinar o S-point em pacientes com epistaxe grave. Pacientes com sangramento no S-point apresentaram escores mais baixos no índice de massa corpórea e maior incidência de anemia do que aqueles com sangramento em locais que não o S-point.

Association between obstructive sleep apnea and thyroid cancer incidence: a national health insurance data study.

PURPOSE: Little is known about the incidence of thyroid cancer in patients with obstructive sleep apnea (OSA). This study aimed to evaluate whether OSA is associated with the incidence of thyroid cancer based on the Korea National Health Insurance Service (KNHIS) database. METHODS: This study was designed as a retrospective cohort data analysis of the KNHIS dataset. A total of 198,574 patients who were over 20 years of age and had been newly diagnosed with OSA between 2007 and 2014 were enrolled. A control group of 992,870 individuals was selected based on propensity score matching by age and sex. The mean follow-up duration was 4.5 ± 2.3 years. The primary endpoint was the incidence of newly diagnosed thyroid cancer. RESULTS: The hazard ratio (HR) for thyroid cancer incidence among OSA patients compared to the control was 1.72 (95% confidence interval [CI] 1.60-1.84) based on Model 1 (not adjusted by any covariate) and 1.64 (95% CI 1.53-1.76) based on Model 2 (adjusted by income level, diabetes, hypertension, and dyslipidemia). Thyroid cancer incidence was significantly higher in male patients (HR = 1.93, 95% CI 1.74-2.12) than female ones (HR = 1.39, 95% CI 1.26-1.54). When compared by age, the HR of thyroid cancer was higher in middle-aged (40 ≤ age < 65 years) patients (HR = 1.68, 95% CI 1.55-1.83) than in young (20 ≤ age < 40 years, HR = 1.53, 95% CI 1.32-1.77) or old (65 ≤ age, HR = 1.28, 95% CI 0.94-1.74) patients. CONCLUSION: OSA may increase the risk of developing thyroid cancer, especially in middle-aged men.

MicroRNA Expression in Extracellular Vesicles from Nasal Lavage Fluid in Chronic Rhinosinusitis.

Extracellular vesicles (EVs) are nanovesicles of endocytic origin released by cells and found in human bodily fluids. EVs contain both mRNA and microRNA (miRNA), which can be shuttled between cells, indicating their role in cell communication. This study investigated whether nasal secretions contain EVs and whether these EVs contain RNA. EVs were isolated from nasal lavage fluid (NLF) using sequential centrifugation. EVs were characterized and EV sizes were identified by transmission electron microscopy (TEM). In addition, EV miRNA expression was different in the chronic rhinosinusitis without nasal polyp (CRSsNP) and chronic rhinosinusitis with nasal polyp (CRSwNP) groups. The Kyoto encyclopedia gene and genome database (KEGG) database was used to identify pathways associated with changed miRNAs in each analysis group. Twelve miRNAs were differentially expressed in NLF-EVs of CRS patients versus HCs. In addition, eight miRNAs were differentially expressed in NLF-EVs of CRSwNP versus CRSsNP patients. The mucin-type O-glycan biosynthesis was a high-ranked predicted pathway in CRS patients versus healthy controls (HCs), and the Transforming growth factor beta (TGF-ß) signaling pathway was a high-ranked predicted pathway in CRSwNP versus CRSsNP patients. We demonstrated the presence of and differences in NLF-EV miRNAs between CRS patients and HCs. These findings open up a broad and novel area of research on CRS pathophysiology as driven by miRNA cell communication.

Prediction of Phakic Intraocular Lens Vault Using Machine Learning of Anterior Segment Optical Coherence Tomography Metrics.

PURPOSE: To compare the achieved vault using the conventional manufacturer's nomogram and the predicted vault using machine learning, in a large cohort of eyes undergoing posterior chamber phakic intraocular lens (EVO implantable collamer lens [ICL]; STAAR Surgical) implantation. DESIGN: Reliability and validity assessment and comparison. METHODS: Our study comprised a total of 1,745 eyes of 1,745 consecutive patients (mean age ± standard deviation, 26.2 ± 6.8 years) undergoing ICL implantation. At 1 month postoperatively, we quantitatively measured the actual vault, and compared it with the predicted vault using machine leaning of anterior segment optical coherence tomography metrics. RESULTS: All machine learning methods, such as support vector regressor (SVR), gradient boost regressor (GBR), random forest regressor (RFR), and linear regressor (LR), showed significantly less mean absolute error and higher percentages of eyes within 50-200 µm of the targeted ICL vault than the conventional nomogram (P < .001). The RFR provided the lowest mean absolute errors and the highest percentages of eyes within 50 to 200 µm, followed by the GBR, the LR, and the SVR (P < .01). CONCLUSIONS: Machine learning of the preoperative anterior segment optical coherence tomography metrics, especially the RFR, provided significantly higher predictability of the ICL vault than the conventional manufacturer's nomogram, suggesting that it will become an aid for predicting the ICL vault and subsequently selecting the proper ICL size in daily practice.