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OBJECTIVE: Cochlear implant (CI) users frequently complain about speech quality perception (SQP). In patients undergoing cochlear implantation for single-sided deafness, there is concern that poor SQP from the implanted ear will negatively impact binaural (CI + normal hearing [NH]) SQP. In this study, we investigate if binaural SQP is measurably different than unimplanted NH alone. STUDY DESIGN: Cross-sectional study. SETTING: Tertiary care center. METHODS: Fifteen unilateral CI users with NH in the contralateral ear completed the validated Columbia Speech Quality Instrument. This instrument consists of 9 audio clips rated across 14 specific speech qualities using a 10-point visual analog scale. SQP was assessed in 3 conditions: CI only, NH only, and CI + NH. RESULTS: Median speech quality scores were worse in the CI only condition compared to the NH only (50.0 vs 72.6, P = .0003) and binaural (50.0 vs 71.0, P = .007) conditions. Median speech quality scores were not significantly different between the NH only and binaural conditions (72.6 vs 71, P = .8). Compared to NH, CI speech quality sounded less clear, less natural, and more mechanical. CONCLUSION: Compared to NH, SQP is poorer with a CI alone. However, in contrast to expectation, there is no significant difference between NH and binaural SQP. This suggests poorer CI speech perception does not negatively impact binaural SQP in patients undergoing cochlear implantation for single-sided deafness.
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In many natural and engineered systems, unknown quantum channels act on a subsystem that cannot be directly controlled and measured, but is instead learned through a controllable subsystem that weakly interacts with it. We study quantum channel discrimination (QCD) under these restrictions, which we call hidden system QCD. We find sequential protocols achieve perfect discrimination and saturate the Heisenberg limit. In contrast, depth-1 parallel and multishot protocols cannot solve hidden system QCD. This suggests sequential protocols are superior in experimentally realistic situations.
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A recent American Psychological Association Summit provided an urgent call to transform psychological science and practice away from a solely individual-level focus to become accountable for population-level impact on health and mental health. A population focus ensures the mental health of all children, adolescents, and adults and the elimination of inequities across groups. Science must guide three components of this transformation. First, effective individual-level interventions must be scaled up to the population level using principles from implementation science, investing in novel intervention delivery systems (e.g., online, mobile application, text, interactive voice response, and machine learning-based), harnessing the strength of diverse providers, and forging culturally informed adaptations. Second, policy-driven community-level interventions must be innovated and tested, such as public efforts to promote physical activity, public policies to support families in early life, and regulation of corporal punishment in schools. Third, transformation is needed to create a new system of universal primary care for mental health, based on models such as Family Connects, Triple P, PROmoting School-community-university Partnerships to Enhance Resilience, Communities That Care, and the Early Childhood Collaborative of the Pittsburgh Study. This new system must incorporate valid measurement, universal screening, and a community-based infrastructure for service delivery. Addressing tasks ahead, including scientific creativity and discovery, rigorous evaluation, and community accountability, will lead to a comprehensive strategic plan to shape the emergent field of public mental health. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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Brief, school-based mental health interventions hold promise for reducing barriers to mental health support access, a critical endeavor in light of increasing rates of mental health concerns among youth. However, there is no consensus on whether or not brief school-based interventions are effective at reducing mental health concerns or improving well-being. This systematic review and meta-analysis aims to provide consensus and determine directions for future work. Articles were included if they examined a brief (≤ four sessions or 240 min of intervention time) psychosocial intervention, were conducted within a Pre-K through 12th-grade school setting, included at least one treatment outcome evaluating mental health or well-being, and were published since 2000. A total of 6,702 papers were identified through database searching, of which 81 papers (k studies = 75) were ultimately selected for inclusion. A total of 40,498 students were included across studies and a total of 75 unique interventions were examined. A total of 324 effect sizes were extracted. On average, interventions led to statistically significant improvements in mental health/well-being outcomes versus control conditions up to one-month (g = .18, p = .004), six-month (g = .15, p = .006), and one-year (g = .10, p = .03) post-intervention. There may be benefits to brief school-based interventions from a preventative public health standpoint; future research may focus on how to optimize their real-world utility. Prospero pre-registration: CRD42021255079.
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Background: Chin-on-chest deformity is a rare and severely disabling condition characterized by kyphotic deformity in the cervicothoracic spine. To treat this deformity, various osteotomy techniques were described. Methods: A comprehensive literature search of biomedical databases including MEDLINE (via PubMed), Scopus (via Elsevier), Embase (via Elsevier), and Cochrane Library in English from 1/1/1990 to 3/31/2022 was conducted using a combination of text and Medical Subject Headings (MeSH). Results: The final analysis included 16 studies. All the studies were assigned a level of evidence of four. Except for two articles, all of the articles were non-comparative studies. A total of 288 patients were included in this review. Of the 288 patients, 107 underwent posterior column extension osteotomy (PCEO), 108 underwent pedicle subtraction osteotomy (PSO), and 33 underwent vertebral column resection osteotomy (VCRO). The most common osteotomy level in fifteen of the studies was C7/T1. The studies included in this review described several techniques for cervical sagittal balance correction. The range of preoperative and postoperative visual analogue scale (VAS) scores was 5.5-8.6 to 1.7-4.91, respectively. The range of preoperative and postoperative neck disability index (NDI) was 34.2-65.4 to 22.1-51.3, respectively. The most common complications were upper extremity paresthesia and hand numbness through the C8 dermatome distribution. Conclusions: Corrective osteotomies provide satisfactory results in patients with chin-on-chest deformity; however, the quality of the included studies limits the evidence.
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Respiratory data was collected from 20 subjects, with an even sex distribution, in the low-risk clinical unit at the University of Canterbury. Ethical consent for this trial was granted by the University of Canterbury Human Research Ethics Committee (Ref: HREC 2023/30/LR-PS). Respiratory data were collected, for each subject, over three tests consisting of: 1) increasing set PEEP from a starting point of ZEEP using a CPAP machine; 2) test 1 repeated with two simulated apnoea's (breath holds) at each set PEEP; and 3) three forced expiratory manoeuvres at ZEEP. Data were collected using a custom pressure and flow sensor device, ECG, PPG, Garmin HRM Dual heartrate belt, and a Dräeger PulmoVista 500 Electrical Impedance Tomography (EIT) machine. Subject demographic data was also collected prior to the trial, in a questionnaire, with measurement equipment available. These data aim to inform the development of pulmonary mechanics models and titration algorithms.
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OBJECTIVE: To explore whether there is an association between serious mental illness (SMI) and hearing loss (HL) among US Hispanic adults. STUDY DESIGN AND SETTING: Cross-sectional epidemiological study (Hispanic Community Health Study), including multicentered US volunteers. METHODS: Multivariable linear regressions were conducted to study the association between SMI and HL. Adjustments were made for potential confounders including age, sex, education, vascular disease (hypertension or diabetes mellitus), and cognition. SMI was defined by (1) antipsychotic medication classification and (2) the use of at least 1 antipsychotic medication specifically used to treat SMI in clinical psychiatric practice. HL was measured by pure tone audiometry. RESULTS: A total of 7581 subjects had complete data. The mean age was 55.2 years (SD = 7.5 years) and the mean pure tone average in the better ear was 16.8 dB (SD = 10.7 dB). A total of 194 (2.6%) subjects were taking a HCHS-defined antipsychotic and 98 (1.3%) were taking at least 1 antipsychotic specifically used to treat SMI. On multivariable regression, use of HCHS's classified antipsychotics was associated with 3.75 dB worse hearing (95% confidence interval [CI] = 2.36-5.13, P < .001) and use of antipsychotics specific for SMI was associated with 4.49 dB worse hearing (95% CI = 2.56-6.43, P < .001) compared to those not using antipsychotics. CONCLUSION: SMI, as defined by either the use of HCHS-defined antipsychotics or the use of antipsychotic medication specific for SMI, is associated with worse hearing, controlling for potential confounders. Whether SMI contributes to HL, antipsychotic medication (through ototoxicity) contributes to HL, or whether HL contributes to SMI is unknown and warrants further investigation.
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Research on causal beliefs about mental illness-the beliefs people hold about what causes a particular mental illness, or mental illnesses in general-is split across a number of theories and disciplines. Although research on this subject has provided a number of insights and practical applications, the diversity of theories, terminology, and keywords makes it challenging for a new reader to gain a comprehensive understanding. We sought to address this by conducting a systematic scoping review of research on causal beliefs. This review included English-language articles from any year that mentioned causal beliefs for mental illness in their title or abstract. We identified articles in two stages. In the first stage, we used a narrow set of search terms referring specifically to causal beliefs (1227 records identified, 417 included). In the second stage, we used a comprehensive set of terms relevant to research on causal beliefs (10,418 records identified, 3838 included). We analyzed articles qualitatively, organizing them into one of five theories or categories: the common-sense model of self-regulation, explanatory models, mental health literacy, biogenetic causal beliefs, and other research on causal beliefs. We provide a comprehensive summary of these literatures in terms of their history, typical research questions and study design, findings, and practical applications. These theories differ in their theoretical orientation towards causal beliefs, research methods, findings, and applications. However, they broadly share a view of causal beliefs as multifaceted, culturally determined, and relevant for additional psychosocial variables such as mental illness stigma and help-seeking. We conclude by making recommendations for researchers, clinicians, public health messaging, and for individuals with mental illness.
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Transtornos Mentais , Humanos , Transtornos Mentais/psicologia , Conhecimentos, Atitudes e Prática em Saúde , Letramento em SaúdeRESUMO
PURPOSE: Despite the robust expansion of research surrounding artificial intelligence (AI) and machine learning (ML) and their applications to medicine, these methodologies often remain opaque and inaccessible to many otolaryngologists. Especially, with the increasing ubiquity of large-language models (LLMs), such as ChatGPT and their potential implementation in clinical practice, clinicians may benefit from a baseline understanding of some aspects of AI. In this narrative review, we seek to clarify underlying concepts, illustrate applications to otolaryngology, and highlight future directions and limitations of these tools. METHODS: Recent literature regarding AI principles and otolaryngologic applications of ML and LLMs was reviewed via search in PubMed and Google Scholar. RESULTS: Significant recent strides have been made in otolaryngology research utilizing AI and ML, across all subspecialties, including neurotology, head and neck oncology, laryngology, rhinology, and sleep surgery. Potential applications suggested by recent publications include screening and diagnosis, predictive tools, clinical decision support, and clinical workflow improvement via LLMs. Ongoing concerns regarding AI in medicine include ethical concerns around bias and data sharing, as well as the "black box" problem and limitations in explainability. CONCLUSIONS: Potential implementations of AI in otolaryngology are rapidly expanding. While implementation in clinical practice remains theoretical for most of these tools, their potential power to influence the practice of otolaryngology is substantial.
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Otolaringologia , Cirurgiões , Humanos , Inteligência Artificial , Otorrinolaringologistas , Aprendizado de MáquinaRESUMO
OBJECTIVES: Social media plays an ever-growing part in modern life and is a frequent source of health information for patients. Singers are particularly likely to receive health information solely from fellow musicians and may experience barriers to seeking vocal healthcare. However, there have been no studies to date evaluating vocal health information on social media. Our study aimed to assess the quality, reliability, and accuracy of vocal health content on TikTok. STUDY DESIGN: Cross-sectional analysis. METHODS: Three searches were carried out on Tiktok, using the terms "vocal health," "vocal injury," and "voice tips." The top 50 videos in each category were cataloged for extraction of data and for analysis on three discrete scales. Two independent reviewers rated each video using the Global Quality Scale (GQS), modified DISCERN scale, and Accuracy in Digital-health Instrument (ANDI). RESULTS: After the removal of duplicates and unavailable content, 146 videos were analyzed. The mean (range) length was 59.8 seconds (5-239), and number of views per video was 886,265 (432-36,700,000). The vast majority of videos (94.5%) were created by non-clinicians; only two videos (1.37%) were posted by otolaryngologists. The mean (SD) GQS score was 2.34 (0.75) out of a maximum of five, the DISCERN score was 0.97 (0.56) out of five, and the ANDI score was 2.85 (0.87) out of four. Video length was positively correlated with GQS and DISCERN scores, but views, likes, and shares were either not associated or negatively associated with GQS, DISCERN, and ANDI. CONCLUSIONS: Most videos were of low quality and reliability and moderate accuracy. Measures of popularity were either uncorrelated or negatively correlated with quality, reliability, and accuracy, suggesting that TikTok users are more likely to engage with lower-quality content online. This implies a potential role for vocal health professionals to fill a crucial gap with reliable information on social media.
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Metabolic dysfunction-associated steatohepatitis (MASH) can progress to cirrhosis and liver cancer. There are no approved medical therapies to prevent or reverse disease progression. Fructose and its metabolism in the liver play integral roles in MASH pathogenesis and progression. Here we focus on mannose, a simple sugar, which dampens hepatic stellate cell activation and mitigates alcoholic liver disease in vitro and in vivo . In the well-validated FAT-MASH murine model, oral mannose supplementation improved both liver steatosis and fibrosis at low and high doses, whether administered either at the onset of the model ("Prevention") or at week 6 of the 12-week MASH regimen ("Reversal"). The in vivo anti-fibrotic effects of mannose supplementation were validated in a second model of carbon tetrachloride-induced liver fibrosis. In vitro human and mouse primary hepatocytes revealed that the anti-steatotic effects of mannose are dependent on the presence of fructose, which attenuates expression of ketohexokinase (KHK), the main enzyme in fructolysis. KHK is decreased with mannose supplementation in vivo and in vitro, and overexpression of KHK abrogated the anti-steatotic effects of mannose. Our study identifies mannose as a simple, novel therapeutic candidate for MASH that mitigates metabolic dysregulation and exerts anti-fibrotic effects.
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BACKGROUND: Research on mental illness labeling has demonstrated that self-labeling (identifying with a mental illness label, e.g., "I have depression") is associated with internalized stigma, maladaptive responses to that stigma, and lower quality of life. However, research has not yet examined the link between self-labeling and how individuals cope with emotional distress. It is important to understand this relationship because adaptive and maladaptive methods of coping can lead to positive and negative mental illness outcomes. METHODS: This cross-sectional study examined the link between depression self-labeling, depression symptoms, and three constructs related to depression self-management (perceived control over depression, cognitive emotion regulation strategies, and help-seeking beliefs) in a large (N = 1423) sample of U.S. college students. RESULTS: Approximately one-fifth of students (22.2 %) self-labeled as having depression, while 39.0 % were estimated to meet diagnostic criteria for MDD. After controlling for depression symptom severity, self-labeling was associated with lower levels of perceived control over depression (p = .002), more catastrophizing (p = .013), less perspective taking, refocusing, reappraisal, and planning (ps < 0.05), and more positive help-seeking attitudes towards medication (p < .001) but not therapy. LIMITATIONS: Results are non-causal and may not generalize to non-college populations. CONCLUSIONS: Self-labeling may inform how individuals cope with emotional distress, with the potential for positive and negative effects on clinical outcomes. This is consistent with well-established research on self-labeling with regards to stigma, but extends this research in important new directions.
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Capacidades de Enfrentamento , Depressão , Humanos , Depressão/psicologia , Estudos Transversais , Qualidade de Vida , Estigma Social , Estudantes/psicologia , Adaptação PsicológicaRESUMO
STUDY DESIGN: Retrospective cohort study. OBJECTIVE: The goal of this study is to evaluate the effects of preoperative lumbar epidural steroid injection on the rate of pseudarthrosis following lumbar spine fusion surgery. SUMMARY OF BACKGROUND DATA: Epidural corticosteroids help to reduce nerve root edema and suppress proinflammatory cytokines in patients with radiculopathy. Corticosteroids may inhibit bone formation and reduce bone matrix synthesis rates. Thus, there is concern that corticosteroids may reduce lumbar fusion capability, potentially resulting in increased rates of symptomatic pseudarthrosis. MATERIALS AND METHODS: We identified all patients who underwent 1-level or 2-level lumbar fusion surgery between 2018 and 2022. Patients were categorized into one of 3 groups: no preoperative epidural steroid injection (ESI) history (group 0), preoperative ESI within 90 days of surgery (group 1), or most recent ESI >90 days before surgery (group 2). The primary outcome of this study was pseudarthrosis. Binominal regression analyses were performed to determine the relationships between potential risk factors (sex, age, body mass index, smoking history, diabetes status, history of systemic steroid use, preoperative ESI, perioperative intravenous steroid administration, type of surgery, and postoperative ESI within 6 mo) and the development of postoperative pseudarthrosis. RESULTS: A total of 446 patients were included in this study. Of those, 106 patients (23.7%) did not have a preoperative ESI (group 0), 132 patients (29.5%) had an ESI within 90 days of surgery (group 1), and 208 patients (46.6%) had their most recent ESI >90 days before surgery (group 2). The overall incidence of pseudarthrosis following lumbar fusion was 8.7% (39 of 446). Although the incidence of pseudarthrosis following ESI at any time point was higher than in our control cohort (group 0), this difference was not statistically significant. CONCLUSIONS: This study found no increased risk of postoperative pseudarthrosis in patients who underwent 1-level or 2-level lumbar fusions after preoperative ESI. LEVEL OF EVIDENCE: Level III.
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Pseudoartrose , Fusão Vertebral , Humanos , Estudos Retrospectivos , Resultado do Tratamento , Pseudoartrose/etiologia , Pseudoartrose/cirurgia , Esteroides/uso terapêutico , Corticosteroides , Vértebras Lombares/cirurgia , Fusão Vertebral/efeitos adversos , Fusão Vertebral/métodosRESUMO
Millions of people worldwide suffer from low back pain and disability associated with intervertebral disc (IVD) degeneration. IVD degeneration is highly correlated with aging, as the nucleus pulposus (NP) dehydrates and the annulus fibrosus (AF) fissures form, which often results in intervertebral disc herniation or disc space collapse and related clinical symptoms. Currently available options for treating intervertebral disc degeneration are symptoms control with therapy modalities, and/or medication, and/or surgical resection of the IVD with or without spinal fusion. As such, there is an urgent clinical demand for more effective disease-modifying treatments for this ubiquitous disorder, rather than the current paradigms focused only on symptom control. Hydrogels are unique biomaterials that have a variety of distinctive qualities, including (but not limited to) biocompatibility, highly adjustable mechanical characteristics, and most importantly, the capacity to absorb and retain water in a manner like that of native human nucleus pulposus tissue. In recent years, various hydrogels have been investigated in vitro and in vivo for the repair of intervertebral discs, some of which are ready for clinical testing. In this review, we summarize the latest findings and developments in the application of hydrogel technology for the repair and regeneration of intervertebral discs.
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OBJECTIVE: The aim of the study was to examine applications of cough sounds towards screening tools and diagnostics in the biomedical and engineering literature, with particular focus on disease types, acoustic data collection protocols, data processing and analytics, accuracy, and limitations. DATA SOURCES: PubMed, EMBASE, Web of Science, Scopus, Cochrane Library, IEEE Xplore, Engineering Village, and ACM Digital Library were searched from inception to August 2021. REVIEW METHODS: A scoping review was conducted on screening and diagnostic uses of cough sounds in adults, children, and animals, in English peer-reviewed and gray literature of any design. RESULTS: From a total of 438 abstracts screened, 108 articles met inclusion criteria. Human studies were most common (77.8%); the majority focused on adults (57.3%). Single-modality acoustic data collection was most common (71.2%), with few multimodal studies, including plethysmography (15.7%) and clinico-demographic data (7.4%). Data analytics methods were highly variable, with 61.1% using machine learning, the majority of which (78.8%) were published after 2010. Studies commonly focused on cough detection (41.7%) and screening of COVID-19 (11.1%); among pediatric studies, the most common focus was diagnosis of asthma (52.6%). CONCLUSION: Though the use of cough sounds in diagnostics is not new, academic interest has accelerated in the past decade. Cough sound offers the possibility of an accessible, noninvasive, and low-cost disease biomarker, particularly in the era of rapid development of machine learning capabilities in combination with the ubiquity of cellular technology with high-quality recording capability. However, most cough sound literature hinges on nonstandardized data collection protocols and small, nondiverse, single-modality datasets, with limited external validity. Laryngoscope, 134:1023-1031, 2024.
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Asma , COVID-19 , Adulto , Animais , Humanos , Criança , Som , Acústica , Tosse/diagnósticoRESUMO
BACKGROUND: Perceptions of personal attributes as less malleable are associated with more severe depression symptoms and less active coping in youth. Perceptions of depression itself as relatively fixed have been linked to more severe depression symptoms; however, it is not known how beliefs about depression relate to active and avoidant coping behaviors in particular. METHODS: We gathered information about beliefs about depression and activation and avoidance behaviors among 104 adolescents with high depression symptoms. The primary depression belief examined was prognostic pessimism, or the belief that depression is relatively permanent. We calculated correlations between this belief and activation and avoidance/rumination behaviors. RESULTS: Prognostic pessimism was negatively correlated with behavioral activation scores (r = -0.31; p = .001), and was positively correlated with behavioral avoidance/rumination scores (r = 0.30; p = .002). LIMITATIONS: This data was cross-sectional, and relied on self-report measures of depression beliefs and behaviors. CONCLUSIONS: Adolescents who believe that depression is relatively permanent might feel less motivated to engage in effortful activation behaviors, instead favoring avoidance. These results may help elucidate the ways in which malleability beliefs relate to mental health outcomes among adolescents, and highlight prognostic pessimism as a potential treatment target for reducing depressogenic behaviors.
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Depressão , Transtorno Depressivo , Humanos , Adolescente , Depressão/psicologia , Estudos Transversais , Emoções , Adaptação PsicológicaRESUMO
We present experimental demonstrations of accurate and unambiguous single-shot discrimination between three quantum channels using a single trapped ^{40}Ca^{+} ion. The three channels cannot be distinguished unambiguously using repeated single channel queries, the natural classical analogue. We develop techniques for using the six-dimensional D_{5/2} state space for quantum information processing, and we implement protocols to discriminate quantum channel analogues of phase shift keying and amplitude shift keying data encodings used in classical radio communication. The demonstrations achieve discrimination accuracy exceeding 99% in each case, limited entirely by known experimental imperfections.