Ten-year adherence to continuous positive airway pressure treatment in patients with moderate-to-severe obstructive sleep apnea.

PURPOSE: This study aimed to evaluate the 10-year adherence to and identify the predictors of dropout from continuous positive airway pressure (CPAP) treatment for patients with moderate-to-severe obstructive sleep apnea (OSA). METHODS: We retrospectively analyzed the continuity, dropout, or other behaviors of 181 patients who initiated CPAP treatment at the Tokyo Dental College Ichikawa General Hospital from January 2003 to June 2005. RESULTS: Among a total of 181 patients, 56 (30.9%) dropped out of the treatment. Among the 125 patients who did not dropout, 54 continued CPAP treatment for > 10 years, 16 completed the treatment with OSA improvement, and 7 could not complete the treatment owing to unavoidable reasons such as death, dementia, hospitalization for serious illness, or migration to other countries. Further, 47 patients moved to another facility, whereas 1 patient purchased a CPAP device and stopped visiting our facility. Among the 56 patients who dropped out, approximately 50% of the patients dropped out within a year, and all dropped out within 76 months. Comparing demographics, OSA parameters, and CPAP parameters between the patients who did and did not drop out of the treatment, Cox regression analysis indicated that body mass index (BMI) and the first-month utilization rate were clinical variables that were independently associated with discontinuation of CPAP treatment. CONCLUSION: The results of this study show that BMI and the first-month utilization rate of CPAP treatment are the predictors of the long-term adherence to this treatment.

JESREC score and mucosal eosinophilia can predict endotypes of chronic rhinosinusitis with nasal polyps.

OBJECTIVE: Recently, JESREC score and mucosal eosinophil count have been used to diagnose eosinophilic chronic rhinosinusitis (ECRS) in Japan. However, it remains unknown whether the subtypes of CRS diagnosed by these criteria have different endotypes. In the present study, we investigated whether JESREC score and mucosal eosinophil count were appropriate for classification of CRS subgroups into endotypes. METHODS: A cross-sectional study involving 71 consecutive patients with CRS with nasal polyps (CRSwNP) and 13 control patients was performed. Nasal polyp tissues from CRSwNP patients and uncinate process tissues from control patients were collected for analysis of inflammatory cells by immunohistochemistry and measurement of cytokines and chemokines by ELISA and quantitative real-time PCR. We compared the differences between subtypes according to JESREC score and mucosal eosinophil count and investigated the subgroups with different endotypes by cluster analysis and principal component analysis. RESULTS: In the 71 CRSwNP patients, 9 patients had JESREC score <11 and mucosal eosinophil count <70/HPF (Group A), 20 patients had JESREC score ≥11 and mucosal eosinophil count <70/HPF (Group C), and 42 patients had JESREC score ≥11 and mucosal eosinophil count ≥70/high-power field (HPF) (Group D). Semiquantitative analysis of inflammatory cells showed that eosinophils, neutrophils, macrophages, mast cells, and basophils differed significantly between the subgroups. At the mRNA level, CLC, IL5, IL13, CCL11, CCL24, CCL26, POSTN, CSF3, and IL8 showed significant differences. At the protein level, eotaxin-2/CCL24, eotaxin-3/CCL26, and G-CSF had significant differences. Cluster analysis using gene expression levels in 55 CRS patients and 11 control patients revealed that the patients could be classified into five clusters. Cluster 1 (n=27) contained all patients with Group D. Cluster 2 (n=11) comprised all control patients. Cluster 3 (n=4) included mixed subtypes: one with Group A and three with Group D. Cluster 4 (n=7) and Cluster 5 (n=17) contained all patients with Groups A and C, respectively. Furthermore, the principal component analysis revealed that the subtypes had different characteristics. CONCLUSION: CRS subtypes based on JESREC score and mucosal eosinophil count showed different inflammatory patterns, and unsupervised statistical analyses supported the classification that can predict endotypes. From these results, we concluded that the classification based on JESREC score and mucosal eosinophil count was useful for predicting CRS endotypes.

The role of ADAM-like decysin 1 in non-eosinophilic chronic rhinosinusitis with nasal polyps.

BACKGROUND: Chronic rhinosinusitis with nasal polyps (CRSwNP) is classified into two subtypes: eosinophilic (ECRSwNP) and non-eosinophilic (NECRSwNP). Although the inflammatory patterns of ECRSwNP have been elucidated, NECRSwNP is poorly understood. AIMS/OBJECTIVES: The metalloproteinase ADAM-like decysin 1 (ADAMDEC1) has been reported to play a role in the early stages of the inflammatory response. We investigated the role of ADAMDEC1 in the pathogenesis of CRSwNP. MATERIAL AND METHODS: We compared ADAMDEC1 expression in nasal polyp tissue from CRS patients using immunohistochemistry and RT-qPCR. Macrophages were cultured and ADAMDEC1 expression was determined at baseline and after exposure to lipopolysaccharide (LPS). RESULTS: ADAMDEC1 was virtually undetectable in tissues from control patients but was highly expressed in the NECRSwNP group compared with the ECRSwNP group. In nasal polyp tissues, ADAMDEC1 was expressed by CD68-positive cells, with a positive correlation between ADAMDEC1-positive and CD68-positive cells, and also between ADAMDEC1 and CD68 mRNA levels. Furthermore, stimulation of monocyte-derived macrophages with LPS induced ADAMDEC1 expression. CONCLUSIONS AND SIGNIFICANCE: This study demonstrates that ADAMDEC1 is involved in the pathogenesis of NECRSwNP, and also bacterial endotoxin signalling in macrophages; however, the underlying mechanism remains to be elucidated.

Distinct gene expression profiles and regulation networks of nasal polyps in eosinophilic and non-eosinophilic chronic rhinosinusitis.

BACKGROUND: Chronic rhinosinusitis with nasal polyps (CRSwNP) is known to have 2 phenotypes in East Asia. Eosinophilic CRSwNP (ECRSwNP), defined as tissue eosinophilia and easily recurrent, is distinguished from other non-eosinophilic CRSwNP (NECRSwNP) types. However, the pathogenesis of each remains unclear. METHODS: Nasal polyp tissues from ECRS (ECRSwNP) and NECRS (NECRSwNP) patients were obtained, and their comprehensive gene expression profiles were investigated by microarray analysis. Bioinformatics approaches (eg, Ingenuity Pathway Analysis [IPA]) were used to interrogate the data sets. RESULTS: Hierarchical clustering and principal component analysis (PCA) collectively showed that ECRSwNP and NECRSwNP had distinct gene expression patterns. Of note, these genes could be divided into 8 distinctive clusters having different expression patterns and functions. Upstream Regulator Analysis revealed that not only T-helper 2 (Th2) and the eosinophilia-related molecules (interleukin 4 [IL4], IL5, and colony stimulating factor 2 [CSF2]) reported so far, but also cell cycle regulators (cyclin dependent kinase inhibitor 1A [CDKNA1] and cyclin D1 [CCND1]) and a tissue fibrosis-related molecule (transforming growth factor ß [TGFß]) were identified in ECRSwNP. On the other hand, mainly interferons (IFNs) and acute inflammatory cytokines (IL1 and IL6) were predicted as upstream regulators in NECRSwNP. CONCLUSION: These results are useful for understanding the molecular basis of the mechanisms of CRSwNP and point to new targets for developing specific biomarkers and personalized therapeutic strategies for CRSwNP.

Association of spinal inclination with physical performance measures among community-dwelling Japanese women aged 40 years and older.

AIM: Spinal inclination assesses spinal posture as a whole. However, the association between spinal inclination and physical performance has not yet been fully elucidated. Therefore, this study aimed to explore the association of spinal inclination with physical performance measures. METHODS: The participants were 107 Japanese women aged 40-84 years. Spinal posture was assessed as inclination to a perpendicular line by using a computer-assisted device. Increased inclination value means forward inclination of the spine. Physical performance was measured by using the following methods: 6-m walking time, chair stand time, functional reach, Timed Up & Go Test, and grip strength. Information on participants' comorbidities, osteoporosis, knee joint pain, back pain, falls in the previous year, regular exercise and usage of non-steroidal anti-inflammatory drugs (NSAIDs), was also collected. RESULTS: Pearson's correlation analysis showed significant associations between spinal inclination and all of the physical performance measures. Pearson's partial correlation analysis adjusted for age showed significant associations of increased inclination with poor physical functioning in 6-m walking time, chair stand time, functional reach, and Timed Up & Go Test, but not in grip strength. Linear regression analysis adjusted for age, grip strength, number of comorbidities, osteoporosis, knee joint pain, back pain, falls in previous year, regular activity and taking NSAIDs showed that spinal inclination was associated with poor function in 6-m walking time, chair stand time, functional reach and Timed Up & Go Test. CONCLUSION: Forward spinal inclination was associated with impairment in various physical performance measures. Proper prevention and treatment of underlying disorders should be prompted.