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Caudal nasal septal deviation is an important condition altering nasal obstruction and cosmetic appearance and many surgical techniques have been published on how to correct caudal septal deviation, as successful management of caudal septal deviation is challenging. The goal of our study was to explore the effect of endonasal septoplasty using a septal cartilaginous batten graft for managing caudal septal deviation. We tested 26 participants with caudal septal deviation who received endonasal septoplasty using a septal cartilaginous batten graft from 1 April 2019 to 29 June 2022, and followed up for at least 6 months. Nasal Obstruction Symptom Evaluation (NOSE) Scale and visual analog scale (VAS) were recorded at baseline, 1 month, and 6 months after surgery. Valid samples were analyzed by repeated measures ANOVA and paired sample t-test. Average participant age was 36.15 ± 11.02 years old. The preoperative, 1-month postoperative, and 6-month postoperative NOSE scale decreased significantly (75.38 ± 15.62, 13.85 ± 7.79, and 14.04 ± 9.90; p < 0.001), while preoperative, 1-month postoperative, and 6-month postoperative VAS (convex/concave side) also improved (7.50 ± 0.81/3.38 ± 0.94, 2.27 ± 0.53/1.54 ± 0.58, and 2.31 ± 0.55/1.58 ± 0.58; p < 0.001). Our results showed that endonasal septoplasty using a septal cartilaginous batten graft had good surgical outcomes without an open scar or severe complications.

Obstructive sleep apnea (OSA) yields intermittent hypoxia, hypercapnia, and sleep fragmentation. OSA is associated with chronic medical conditions such as cardiovascular diseases, metabolic syndrome, and neurocognitive dysfunction. However, the risk of infertility in OSA remains unclear due to limited data and lack of long-term population-based studies. The study aims to assess the risk of infertility in obstructive sleep apnea (OSA) by means of a population-based cohort study. The data was utilized from the Taiwan National Health Insurance Research Database (NHIRD) to conduct a population-based cohort study (1997–2013). Compared with the Non-OSA group, the male with OSA and surgery group has the OR (odds ratio) of infertility of 2.70 (95% CI, 1.46–4.98, p = 0.0015), but no significance exists in females with OSA. When the data was stratified according to age and gender, some associations in the specific subgroups were significant. Respectively, males aged 20–35 years old and aged 35–50 years old with a history of OSA and surgery both had a positive association with infertility. (aOR: 3.19; 95% CI, 1.18–8.66, p = 0.0227; aOR: 2.57; 95% CI, 1.18–5.62 p = 0.0176). Male patients with OSA suffer from reduced fertility, but no significant difference was noted in females with OSA. The identification of OSA as a risk factor for male infertility will aid clinicians to optimize long-term medical care. Furthermore, more studies will be encouraged to clarify the effect of OSA on female fertility.

ObjectivesOur objectives are to examine whether patients with fibromyalgia (FM) present an increased risk of hearing loss (HL) compared with those without FM and to explore the relationship between comorbidities/drugs and development of HL in patients with FM. Furthermore, we investigated the incidence rate of different types of HL and the joint effects for HL with FM and comorbidities.MethodsThis population-based retrospective cohort study included patients with new-onset FM from 2000 to 2002 (the FM group) and age- and sex-matched randomized patients without FM (the non-FM group) from Taiwan's National Health Insurance Research Database. Patients were followed up from baseline (3 months after FM diagnosis) until death, withdrawal, HL development, or December 31, 2013. The primary outcome was the risk of HL, which was assessed using Cox proportional-hazards analysis.ResultsThe overall HL risk in the FM group was 1.46-fold (95% confidence interval [CI]: 1.38-1.55) higher than that in the non-FM group after adjustment for sex, age, and comorbidities (p < 0.0001). Patients with FM had significantly greater sensorineural HL (adjusted hazard ratio = 1.46, 95% CI: 1.37-1.56) than those without FM. Patients with FM having comorbidities of diabetes, hyperlipidemia, depression, and Meniere's disease had a higher risk of HL than those without FM.ConclusionOur findings support the notion that FM influences HL and is in line with the hypothesis that the FM mechanism is related to a central nervous system abnormality in sensory processing. Health care professionals should provide appropriate screening for the risk of HL and prevention and counseling methods for patients with FM.

This purpose of this study is to investigate the efficacy of shoulder joint mobilization generated by an innovative servomotor joint mobilization apparatus that was developed in this research for patients suffering from frozen shoulder. Forty-eight patients with frozen shoulder were recruited and stratified randomly assigned into one of two groups: joint mobilization apparatus (posterior and inferior gliding, 80 N, 5 Hz, 30 min) combined with regular therapy (experimental group; EG) versus a regular therapy alone group (control group; CG), three times a week for eight weeks. The visual analogue scale (VAS) for pain and shoulder range of motion (ROM) were measured before, during, and the end of the treatment. Results showed that the shoulder flexion, abduction, internal rotation, and external rotation of the EG improved by 36%, 51%, 81%, and 88%, respectively, while VAS pain scores decreased by 62% when compared with the baseline. Furthermore, the shoulder flexion, abduction, internal rotation, external rotation, and pain score of the EG was 11%, 25%, 41%, 24%, and 34% better than those of the CG, respectively. No complaint as well as no side effects were found during or after usage of the joint mobilization apparatus in EG. This study suggests that the joint mobilization apparatus operated by a very small amount of professional manpower and combined with physical therapy further improves shoulder ROM and pain in patients with frozen shoulder compared to regular physical therapy alone and could be one of the new therapeutic regimens in the future.

Objectives: To find an objective diagnostic tool for the superficial veins in legs. Methods: This study included 137 patients who underwent TRANCE-MRI from 2017 to 2020 (IRB: 202001570B0). Among them, 53 with unilateral leg venous diseases underwent a QFlow scan and were classified into the reflux and non-reflux groups according to the status of the great saphenous veins. Results: The QFlow, namely stroke volume (SV), forward flow volume (FFV), mean flux (MF), stroke distance (SD), and mean velocity (MV) measured in the external iliac, femoral, popliteal, and great saphenous vein (GSV). The SV, FFV, SD, MF, SD, and MV in the GSV (morbid/non-morbid limbs) demonstrated a favorable ability to discriminate reflux from non-reflux in the ROC curve. The SD in the GSV and GSV/PV ratio (p = 0.049 and 0.047/cutoff = 86 and 117.1) and the MV in the EIV/FV ratio, GSV, and GSV/PV ratio (p = 0.035, 0.034, and 0.025/cutoff = 100.9, 86.1, and 122.9) exhibited the ability to discriminate between reflux and non-reflux group. The SD, MV, and FFV have better ability to discriminate a reflux from non-reflux group than the SV and MF. Conclusions: QFlow may be used to verify the reflux of superficial veins in the legs. An increasing GSV/PV ratio is a hallmark of reflux of superficial veins in the legs.

Abstract Motivation Many bioinformatics problems can be approached as optimization or controlled sampling tasks, and solved exactly and efficiently using Dynamic Programming (DP). However, such exact methods are typically tailored towards specific settings, complex to develop, and hard to implement and adapt to problem variations. Methods We introduce the Infrared framework to overcome such hindrances for a large class of problems. Its underlying paradigm is tailored toward problems that can be declaratively formalized as sparse feature networks, a generalization of constraint networks. Classic Boolean constraints specify a search space, consisting of putative solutions whose evaluation is performed through a combination of features. Problems are then solved using generic cluster tree elimination algorithms over a tree decomposition of the feature network. Their overall complexities are linear on the number of variables, and only exponential in the treewidth of the feature network. For sparse feature networks, associated with low to moderate treewidths, these algorithms allow to find optimal solutions, or generate controlled samples, with practical empirical efficiency. Results Implementing these methods, the Infrared software allows Python programmers to rapidly develop exact optimization and sampling applications based on a tree decomposition-based efficient processing. Instead of directly coding specialized algorithms, problems are declaratively modeled as sets of variables over finite domains, whose dependencies are captured by constraints and functions. Such models are then automatically solved by generic DP algorithms. To illustrate the applicability of Infrared in bioinformatics and guide new users, we model and discuss variants of bioinformatics applications. We provide reimplementations and extensions of methods for RNA design, RNA sequence-structure alignment, parsimony-driven inference of ancestral traits in phylogenetic trees/networks, and design of coding sequences. Moreover, we demonstrate multidimensional Boltzmann sampling. These applications of the framework—together with our novel results—underline the practical relevance of Infrared. Remarkably, the achieved complexities are typically equivalent to the ones of specialized algorithms and implementations. Availability Infrared is available at https://amibio.gitlabpages.inria.fr/Infrared with extensive documentation, including various usage examples and API reference; it can be installed using Conda or from source.

The purpose of this study was to investigate the association between apnea-hypopnea index (AHI) and metabolic markers and whether the elevated risk of Metabolic Syndrome (MetS) is related to Obstructive Sleep Apnea (OSA).This cross-sectional study recruited 246 male bus drivers from one transportation company in Taiwan. Each participant was evaluated by a polysomnography (PSG) test and by blood lipids examination. Severity of OSA was categorized according to the apnea-hypopnea index (AHI).The results showed that a 73.3% prevalence of MetS in OSA (AHI > 15) and a 80.0% prevalence of MetS in severe OSA (AHI > 30) were found. After adjusting for confounding variables, an increased level of Body-Mass Index (BMI) and two non-MetS cardiovascular risk factors, total cholesterol/HDL-C ratio and TG/HDL-C ratio was significantly associated with AHI in subjects with severe OSA. MetS was about three times to be present in subjects with severe OSA, even adjusted for BMI.The findings showed a high prevalence of MetS in OSA among professional drivers, especially in the severe group category. BMI was the major contributing factor to OSA. However, the present study did not find a sensitive clinical marker of a detrimental metabolic profile in OSA patients.

Abstract Background RNA features a highly negatively charged phosphate backbone that attracts a cloud of counter-ions that reduce the electrostatic repulsion in a concentration dependent manner. Ion concentrations thus have a large influence on folding and stability of RNA structures. Despite their well-documented effects, salt effects are not handled consistently by currently available secondary structure prediction algorithms. Combining Debye-Hückel potentials for line charges and Manning’s counter-ion condensation theory, Einert et al. (Biophys J 100: 2745-2753, 2011) modeled the energetic contributions of monovalent cations on loops and helices. Results The model of Einert et al. is adapted to match the structure of the dynamic programming recursion of RNA secondary structure prediction algorithms. An empirical term describing the salt dependence of the duplex initiation energy is added to improve co-folding predictions for two or more RNA strands. The slightly modified model is implemented in the ViennaRNA package in such way that only the energy parameters but not the algorithmic structure is affected. A comparison with data from the literature show that predicted free energies and melting temperatures are in reasonable agreement with experiments. Conclusion The new feature in the ViennaRNA package makes it possible to study effects of salt concentrations on RNA folding in a systematic manner. Strictly speaking, the model pertains only to mono-valent cations, and thus covers the most important parameter, i.e., the NaCl concentration. It remains a question for future research to what extent unspecific effects of bi- and tri-valent cations can be approximated in a similar manner. Availability Corrections for the concentration of monovalent cations are available in the ViennaRNA package starting from version 2.6.0.