Search Results (731)

Obesity Hypoventilation Syndrome (OHS), also known as Pickwickian syndrome, is a complex disorder characterized by obesity (BMI > 30 kg/m²), daytime hypercapnia (PaCO₂ ≥ 45 mmHg), and sleep-disordered breathing, primarily affecting individuals with severe obesity. Its diagnosis requires the exclusion of other causes of alveolar hypoventilation and involves comprehensive assessments, including clinical history, physical examination, pulmonary function tests, arterial blood gases, and sleep studies. The pathophysiology of OHS involves mechanical constraints from excessive adipose tissue, diminished central respiratory drive often linked to leptin resistance, mitochondrial dysfunction, and oxidative stress, all contributing to impaired ventilation and systemic inflammation. The condition often coexists with obstructive sleep apnea (OSA), exacerbating nocturnal hypoxia and hypercapnia, which can lead to severe cardiopulmonary complications such as pulmonary hypertension and right-sided heart failure. Epidemiologically, the rising global prevalence of obesity correlates with an increased incidence of OHS, yet underdiagnosis remains a significant challenge, often resulting in critical presentations like acute hypercapnic respiratory failure. Management primarily centers on non-invasive ventilation modalities like CPAP and BiPAP, with an emphasis on individualized treatment plans, continuous monitoring, and addressing comorbidities such as hypertension and diabetes. Pharmacological interventions are still evolving, focusing on supportive care and metabolic regulation. Long-term adherence, psychological factors, and complications like ventilator failure or device intolerance highlight the need for ongoing multidisciplinary management. Overall, advancing our understanding of OHS’s multifactorial mechanisms and optimizing tailored therapeutic strategies are crucial for improving patient outcomes and reducing mortality associated with this increasingly prevalent syndrome. Full article

Obstructive sleep apnea (OSA) is a sleep-related breathing disorder characterized by a reduction or complete interruption of airflow during sleep, with episodes lasting at least 10 s. In severe cases, blood oxygen saturation can drop significantly, reaching levels as low as 40%. The aim of this study was to compare CAD/CAM-assisted maxillomandibular advancement (MMA) with traditional surgical techniques in the treatment of obstructive sleep apnea (OSA). We conducted a retrospective analysis of patients who underwent maxillomandibular advancement (MMA) for obstructive sleep apnea (OSA), all operated on consecutively by the same surgeon between 2022 and 2024 at the Maxillofacial Surgery of Policlinico Hospital San Camillo-Forlanini, Rome, Italy. This study included 18 patients with severe obstructive sleep apnea syndrome (OSAS) who underwent maxillomandibular advancement (MMA) surgery. The patients had a mean age of 38 years; 11 were male and 7 were female. Patients were divided into two groups: Group A, treated using a CAD/CAM-assisted surgical approach (five male and four female), and Group B, treated with conventional surgical techniques (six male and three female). Results: The comparison between preoperative and postoperative CT scans, along with 3D reconstructions using dedicated software, demonstrated a significant increase in airway volume following the skeletal repositioning. Notably, airway volume increased from 19.25 ± 0.5 mm³ to 26.14 ± 1.264 mm³ in group A and 20.564 ± 0.71 mm³ to 25.425 ±1.103 mm³ in group B. Conclusion: No significant differences were observed between the CAD/CAM-assisted and conventional surgical techniques for maxillomandibular advancement (MMA) in the treatment of severe obstructive sleep apnea (OSA). Both approaches led to a reduction in the apnea–hypopnea index (AHI) and an increase in posterior airway space (PAS). However, the use of software and digital planning through CAD/CAM technology allows for greater precision and shorter operative times, making the procedure more efficient overall. Full article

Background: Respiratory rate (RR) is a key vital sign and one of the most sensitive indicators of physiological conditions, playing a crucial role in the early identification of clinical deterioration. The monitoring of RR using electrocardiography (ECG) and photoplethysmography (PPG) aims to overcome limitations of traditional methods in clinical settings. Methods: The proposed approach extracts RR from ECG and PPG signals using different morphological and temporal features from publicly available datasets (iAMwell and Capnobase). The algorithm was used to develop and test with a selection of relevant ECG (e.g., R-peak, QRS area, and QRS slope) and PPG (amplitude and frequency modulation) characteristics. Results: The results show promising performance, with the ECG-derived signal using the R-peak–based method yielding the lowest error, with a mean absolute error of 0.99 breaths/min in the iAMwell dataset and 3.07 breaths/min in the Capnobase dataset. In comparison, the RR PPG-derived signal showed higher errors of 5.10 breaths/min in the iAMwell dataset and 10.66 breaths/min in the Capnobase dataset, for the FM and AM method, respectively. Bland–Altman analysis revealed a small negative bias, approximately −0.97 breaths/min for the iAMwell dataset (with limits of agreement from −2.62 to 0.95) and −1.16 breaths/min for the Capnobase dataset (limits of agreement from −3.37 to 1.10) in the intra-subject analysis. In the inter-subject analysis, the bias was −0.84 breaths/min (limits of agreement from −1.76 to 0.20) for iAMwell and −1.22 breaths/min (limits of agreement from −7.91 to 5.35) for Capnobase, indicating a slight underestimation. Conversely, the PPG-derived signal tended to overestimate RR, resulting in higher variability and reduced accuracy. These findings highlight the higher reliability of ECG-derived features for RR estimation in the analyzed datasets. Conclusion: This study suggests that the proposed approach could guide the design of cost-effective, non-invasive methods for continuous respiration monitoring, offering a reliable tool for detecting conditions like stress, anxiety, and sleep disorders. Full article

Mechanotransduction, also referred to as mechano-signal transduction, is a biophysical process wherein cells perceive and respond to mechanical stimuli by converting them into biochemical signals that initiate specific cellular responses. This mechanism is fundamental to the development and growth, and proper functioning of mechanically active tissues, such as the diaphragm—a respiratory muscle vital for breathing in mammals. In vivo, the diaphragm is subjected to transdiaphragmatic pressure, and therefore, its muscle fibers are subjected to mechanical forces not only in the direction of the muscle fibers but also in the direction transverse to the fibers. Previous research conducted in our laboratory uncovered that stretching the diaphragm in either the longitudinal or transverse direction activates distinct mechanotransduction pathways. This indicates that signaling pathways in the diaphragm muscle are regulated in an anisotropic manner. In this review paper, we discussed the underlying mechanisms that regulate the anisotropic signaling pathways in the diaphragmatic muscle, emphasizing the mechanical role of cytoskeletal proteins in this context. Furthermore, we explored the regulatory mechanisms governing mechanosensitive gene transcription, including microRNAs (mechanomiRs), within the diaphragm muscle. Finally, we examined potential links between anisotropic signaling in the diaphragm muscle and various skeletal muscle disorders. Full article

Epilepsy is a complex and ancient neurological disorder affecting approximately 50 million individuals globally. Despite significant advancements in pharmacological treatments, surgical procedures, and neurostimulation techniques, a substantial subset of patients remains pharmacoresistant or experiences intolerable side effects, highlighting the need for novel, safe, and effective interventions. In this review, we examine a promising non-invasive technique known as the Exchange Breathing Method (EBM), developed through the observations of Gemma Herbertson, a British mother who discovered that exhaling gently into her son’s nostrils could consistently interrupt ongoing seizures. The EBM has since gained anecdotal support from a growing international community reporting similar positive outcomes. This paper situates the EBM within the broader historical and clinical context of epilepsy treatment, tracing its evolution from ancient practices to modern therapeutic strategies. We explore the neurophysiological mechanisms that may underlie the EBM, particularly its interaction with autonomic and respiratory pathways implicated in seizure modulation. By integrating emerging grassroots data with current scientific knowledge, this review proposes a rationale for further empirical investigation into the EBM and its potential role in the personalized, emergency management of epilepsy. Full article

Background/Objectives: Central sensitization (CS) is identified as a cause of pain in various musculoskeletal diseases, and breathing pattern disorders (BPDs) are reported to be correlated with chronic pain. This study aimed to analyze the relationship between CS and BPDs through regression analysis. Methods: A cross-sectional study was designed according to the strengthening the reporting of observational studies in epidemiology (STROBE) guidelines. Forty participants with moderate to extreme CS (central sensitization inventory for Koreans; CSI-K ≥ 40) were enrolled, and their respiratory motion (manual assessment of respiratory motion; MARM), respiratory function (self-evaluation of breathing questionnaire; SEBQ), respiratory muscle strength (maximal inspiratory pressure; MIP, maximal expiratory pressure; MEP), pain intensity (numeric pain rating scale; NPRS), pain cognition (Korean version of pain catastrophizing scale; K-PCS), muscle tone and stiffness were measured. Results: Among participants with moderate to extreme CS, 82.5% showed BPDs and 42.5% reported severe pain intensity. Regression analysis revealed significant relationships between respiratory and pain variables. K-PCS demonstrated significant negative relationships with MARM area (β = −0.437, R² = 0.191) and positive relationships with SEBQ (β = 0.528, R² = 0.279). In the subgroup with BPDs, strong regression relationships were found between MARM area and NPRS usual pain (β = −0.486, R² = 0.237) and K-PCS (β = −0.605, R² = 0.366). Multiple regression analysis showed that MARM area and SEBQ together explained 41.2% of variance in pain catastrophizing. The comprehensive muscle stiffness prediction model using CSI-K, K-PCS, and muscle tone showed remarkably high explanatory power (R² = 0.978). Conclusions: In individuals with moderate to extreme CS, respiratory dysfunction was prevalent and significantly predictable through regression models with pain intensity and pain cognition. These quantitative regression relationships between breathing mechanics, pain measures, and muscle properties provide clinical prediction tools and suggest the importance of assessing breathing patterns in CS management. Full article

Modern society faces a growing prevalence of mental disorders, with stress emerging as a critical factor affecting mental well-being. In recent years, breathwork has gained public and scientific recognition as a promising approach for enhancing psychological health. Despite the rapid growth in research, the field remains fragmented due to the diversity of breathing techniques. Moreover, recent findings have challenged several foundational concepts traditionally believed to underlie the therapeutic effects of breathwork. This review offers a comprehensive overview and comparison of the most widely practiced breathing techniques, with a focus on addressing key theoretical issues. We examine the primary psychophysiological pathways and mechanisms of breathwork, highlighting its influence on the nervous system as central to its effectiveness. We critically evaluate the role of breathing variables, including pace, ratio, breathing route, attention, and the use of biofeedback, in promoting the long-term neurobiological changes that have been associated with improved mental health. We argue that most breathwork techniques share core neurophysiological mechanisms that benefit well-being, regardless of the theoretical differences between specific techniques. Accumulating evidence suggests breathwork may serve as both a preventive and adjunctive therapy for chronic stress, anxiety, and depression, given its potential to target key risk factors and produce clinically relevant outcomes. Contemporary breathwork research, however, is limited by inconsistent study quality and methodological heterogeneity. By synthesizing current evidence and identifying critical knowledge gaps, this review aims to guide future research and advance understanding of breathwork’s therapeutic potential. Full article

Objectives. The objectives of this study were (i) to design in detail an exercise program for individuals with sleep-disordered breathing (SDB) that would be reproducible, and (ii) to present a system for monitoring training load (volume × intensity) within such a program. Methods. A comprehensive exercise program was developed for individuals with SDB, detailing not only the session structure (warm-up, main part—circuit training and brisk walking—and cool-down) but also the specific exercises, training volume (actual exercise time excluding rest), intensity (Borg Rating of Perceived Exertion—RPE), and training load (calculated as time × RPE, in arbitrary units). This detailed program was previously implemented in a RCT (ISRCTN16974764). A comparison was also made between the planned and performed intensity, and training load through a paired t-test. Results. A fully replicable program was presented. No significant difference was found between the planned and performed training load (p = 0.482). When analyzed by week, a significant difference was found only for overestimation in weeks 9–12 (p < 0.001). Conclusions. In general terms, it can be concluded that a detailed exercise program was described for individuals with SDB. The program is reproducible in terms of content, training volume, intensity, and load. Moreover, the RPE proved to be a valid parameter for quantifying intensity, allowing for the integration of all parts of the session, as well as various types of content. The planned and performed programs (as quantified via participants’ RPE) matched appropriately. Therefore, this program can be reproduced and applied to this type of population. Full article

Obstructive sleep apnea (OSA) is a highly prevalent and underdiagnosed sleep disorder with significant cardiovascular implications, namely in atrial fibrillation (AF) patients. Despite its clinical relevance, OSA prevalence among AF patients and the diagnostic strategies used remain heterogeneous across studies, complicating screening, and treatment pathways. Our aim was to synthesize recent evidence on OSA prevalence in AF populations and to critically evaluate the diagnostic methods and screening strategies employed in clinical studies, by conducting a systematic review using PubMed and Google Scholar to identify original clinical studies published between January-2019 and December-2024. Inclusion criteria targeted adult AF populations assessed for OSA or sleep-disordered breathing. The results were analyzed by two independent reviewers. Non-concordances were resolved by consensus. Data extracted included study characteristics, population profiles, diagnostic approaches, prevalence rates, symptom profiles, and clinical correlates. Thirty-eight studies were included, comprising predominantly observational studies. Prevalence estimates of OSA in AF populations ranged from 5% to 90%, with most studies reporting rates > 60%. A consistent burden of moderate-to-severe OSA was observed. Diagnostic methods varied widely, from polysomnography (PSG) and home sleep apnea testing to pacemaker-derived monitoring and questionnaires such as STOP-Bang and Epworth Sleepiness Scale (ESS). Underdiagnosis was attributed to minimal symptomatology, lack of physician awareness, and reliance on subjective tools. Several studies highlighted the limited sensitivity of standard screening instruments in AF populations and advocated for objective testing even in asymptomatic patients. Marked heterogeneity in study designs, diagnostic methods, and populations precluded quantitative synthesis and limited direct comparisons. Objective diagnostic testing, particularly PSG, is essential to improve OSA detection rates and guide individualized management. Integration of structured screening protocols into AF care—especially for high-risk patients—and interdisciplinary collaboration are critical. Full article

This study described and analyzed the results of cardiorespiratory polygraphic studies in infants under three months who were hospitalized and monitored due to suspected apneas. Methods: Cross-sectional study. Patients aged <3 months hospitalized from 2011 to 2023 were included. All were referred for suspected apneas, and cardiorespiratory polygraphies (PG) were conducted simultaneous to non-invasive monitoring. Demographic, PG, and diagnostic variables were recorded. PG values were obtained and compared between diagnostic groups. Association was evaluated according to diagnosis, prematurity, presence, and alteration type with Kruskal–Wallis, Wilcoxon, and Fisher tests. Association between quantitative variables was assessed with Spearman’s rho and the presence of alteration with binomial logistic regression. Analysis was performed with Jamovi v.2.3, and statistical significance was defined as p < 0.05. Results: A total of 155 studies were included. Median age was 41.0 days (IQR 22.0–59.0), median gestational age was 38 weeks (IQR 32.0–42.0), and 52.3% were premature. Diagnosis: brief resolved unexplained events (BRUE) (58.1%), apnea of prematurity (27.1%), hypotonic syndrome (7.1%), laryngomalacia (LGM) (3.9%), and craniofacial alterations (CFA) (3.9%). Altered results in 21.9% polygraphies: 44.1% with AHI ≧ 5/h and 20.6% with SpO₂ ≦ 90% in >5% of the record. CFA and LGM patients had a higher risk of an altered polygraph than those with apnea of prematurity (OR 21.3/8.5) and BRUE (OR 35.9/14.3), respectively. Conclusions: Infants under three months of age referred for apnea showed often abnormal polygraphic indices, showing significant differences between diagnostic groups. Performance of sleep studies in these groups was feasible and allowed to confirm the presence of apneas and their level of severity. Particular attention should be considered in children with CFA and LMG, since their risk is significantly higher. Age-specific apnea patterns seem to be of interest, as this may possibly lead to future consequences. Full article

From the moment we are born, and even before, in the womb, and until our last breath, our bodies move all the time. Adaptive behaviors necessarily depend not only on the successful integration of multisensory bodily signals but also on how we move our bodies in the world. This paper considers the notion of embodied selfhood through the perspective of dynamic and rhymical coupling between bodily movements and bodily actions. We propose a new theoretical framework suggesting that the dynamic coupling between bodily movements and bodily actions in the world are fundamental in constructing and maintaining a coherent sense of self. To support this idea, we use the Predictive Processing (PP) and Active Inference frameworks as our background theoretical canvas. Specifically, we will focus on the phenomenon of somatosensory attenuation in relation to dynamic selfhood and argue that rhythmic bodily signals such as heartbeats, breathing, and walking patterns are predictable and, thus, can be smoothly attenuated, i.e., processed in the background. We illustrate this hypothesis by discussing the case of Depersonalization Disorder as a failure to self-attenuate self-related information processing, leading to feelings of unreality and self ‘loss’. We conclude with potential implications of our hypothesis for therapy. Full article

This study presents the development and the mechanical and clinical characterization of a flexible biodegradable chitosan–glycerol–graphite composite strain sensor for real-time respiratory monitoring, where the main material, chitosan, is derived and extracted from Tenebrio Molitor larvae shells. Chitosan was extracted using a sustainable, low-impact protocol and processed into a stretchable and flexible film through glycerol plasticization and graphite integration, forming a conductive biocomposite. The sensor, fabricated in a straight-line geometry to ensure uniform strain distribution and signal stability, was evaluated for its mechanical and electrical performance under cyclic loading. Results demonstrate linearity, repeatability, and responsiveness to strain variations in the stain sensor during mechanical characterization and performance, ranging from 1 to 15%, with minimal hysteresis and fast recovery times. The device reliably captured respiratory cycles during normal breathing across three different areas of measurement: the sternum, lower ribs, and diaphragm. The strain sensor also identified distinct breathing patterns, including eupnea, tachypnea, bradypnea, apnea, and Kussmaul respiration, showing the capability to sense respiratory cycles during pathological situations. Compared to conventional monitoring systems, the sensor offers superior skin conformity, better adhesion, comfort, and improved signal quality without the need for invasive procedures or complex instrumentation. Its low-cost, biocompatible design holds strong potential for wearable healthcare applications, particularly in continuous respiratory tracking, sleep disorder diagnostics, and home-based patient monitoring. Future work will focus on wireless integration, environmental durability, and clinical validation. Full article

Obstructive sleep apnea (OSA) syndrome is a severe, debilitating, and pervasive sleep disorder. OSA mainly affects people with obesity, type 2 diabetes mellitus (T2DM), hypertension, and dyslipidemia and is strongly associated with cardiovascular complications. Based on the bidirectional relationship between T2DM and OSA, the latter represents a risk factor for the former, and, vice versa, people with T2DM have a high risk of OSA. Mechanical and hormonal factors, inflammatory mediators, and a dysregulated autonomic nervous system contribute to the mechanisms underlying the disease. Treatment of OSA is necessary even if the available remedies are not always effective. In addition to traditional treatments, including lifestyle adaptations and bariatric surgery, CPAP equipment, i.e., a breathing device ensuring continuous positive pressure to keep the airways open during sleep, represents the most common treatment tool. More recently, pharmacological research has paved the way to newer seemingly effective therapeutic strategies involving, in particular, two hypoglycemic agent classes, i.e., sodium–glucose co-transporter 2 inhibitors (SGLT2-is) and glucagon-like peptide-1 (GLP-1) receptor agonists (GLP1-ras). This narrative review provides an update on all of the above. Full article

Background and Clinical Significance: Obstructive sleep apnea (OSA) is a common comorbidity in patients with cardiac and metabolic disorders. The coexistence of central sleep apnea with Cheyne–Stokes breathing (CSA-CSB) in heart failure patients, especially those with preserved ejection fraction (HFpEF), represents a diagnostic and therapeutic challenge. Data on continuous positive airway pressure (CPAP) failure and successful adaptation to servo-ventilation (ASV) in the context of complex comorbidities remain limited. Case Presentation: We present the case of a 74-year-old male with a history of type 2 diabetes mellitus, paroxysmal atrial fibrillation, HFpEF, essential hypertension, and bladder carcinoma. He was referred for pre-operative OSA screening, reporting excessive daytime sleepiness, insomnia, and witnessed apneas. Initial respiratory polygraphy revealed severe sleep-disordered breathing with dominant CSA-CSB and moderate OSA. Laboratory investigations also revealed severe iron-deficiency anemia, which was managed with parenteral iron supplementation. The patient underwent CPAP titration, which led to modest improvement and residual high apnea–hypopnea index (AHI). After persistent symptoms and an inadequate CPAP response, an ASV device was initiated with significant clinical and respiratory improvement, demonstrating normalization of hypoxic burden and optimal adherence. Conclusions: CSA-CSB in HFpEF patients with anemia poses unique therapeutic difficulties. This case highlights the importance of individualized diagnostic and therapeutic strategies, including transitioning to ASV in CPAP-refractory cases, which can lead to improved adherence, reduced hypoxia, and better overall outcomes in high-risk patients. Full article

Telomeres are protective DNA sequences located at chromosome ends, essential to maintaining genomic stability. This narrative review examines how maternal lifestyle factors during pregnancy influence fetal telomere length (TL). Positive associations have been identified between offspring’s TL and maternal consumption of nutrients such as vitamins C and D, folate, and magnesium. Additionally, adherence to a Mediterranean diet and regular physical activity during pregnancy are correlated with increased placental TL, supporting fetal genomic integrity. Conversely, maternal dietary patterns high in carbohydrates, fats, or alcohol, as well as exposure to triclosan and sleep-disordered breathing, negatively correlate with offspring’s TL. Maternal infections may also shorten TL through heightened inflammation and oxidative stress. However, evidence regarding the impact of other lifestyle factors—including maternal stress, smoking, caffeine intake, polyunsaturated fatty acid consumption, obesity, and sleep quality—remains inconsistent. Given that shorter telomere length has been associated with cardiovascular, pulmonary, and neurodegenerative diseases, as well as certain types of cancer, these findings highlight the vital importance of maternal health during pregnancy in order to prevent potential adverse effects on the fetus. Further studies are required to elucidate the precise timing, intensity, and interplay of these influences, enabling targeted prenatal interventions to enhance offspring health outcomes. Full article