Correction: Detection of obstructive sleep apnea using Belun Sleep Platform wearable with neural network-based algorithm and its combined use with STOP-Bang questionnaire.

[This corrects the article DOI: 10.1371/journal.pone.0258040.].

Cost-consequence analysis of continuous denosumab therapy for osteoporosis treatment in South Korea.

BACKGROUND: Insurance reimbursement provisions in South Korea limit osteoporosis medication availability for patients with T-scores exceeding - 2.5. This study aimed to evaluate the financial impact and fracture prevention of continuous denosumab therapy until a T-score>-2.0 (Dmab-C strategy), versus discontinuation of denosumab after reaching T-score>-2.5 (Dmab-D strategy) in osteoporosis patients. METHODS: A cost-consequence analysis from a Korean healthcare system perspective was performed using a newly developed Markov model. The incidence of vertebral and non-vertebral fracture, fracture-related deaths, drug costs, and fracture-treatment costs were estimated and compared between Dmab-C and Dmab-D strategy over a lifetime in eligible patients aged 55 years. RESULTS: Base-case analysis revealed that Dmab-C prevented 32.21 vertebral fracture (VF) and 12.43 non-VF events per 100 patients over a lifetime, while reducing 1.29 fracture-related deaths. Lifetime direct healthcare cost saving per patient was KRW 1,354,655 if Dmab-C replaces Dmab-D. When productivity losses were considered, Dmab-C saved KRW 29,025,949 per patient compared to Dmab-D. The additional treatment costs of Dmab-C could be offset by the higher subsequent treatment costs and fracture treatment costs of Dmab-D. The sensitivity analysis showed consistent patterns with results of the base-case analysis. CONCLUSION: Continuous treatment using denosumab until osteoporosis patients achieve and maintain a T-score of -2.0 would provide greater clinical and economic benefits in terms of fracture prevention and reduced mortality risks compared to outcomes from discontinuing treatment at a T-score of -2.5 or above. This new treatment strategy would effectively lower the risk of fractures and fracture-related mortality, ultimately leading to lower medical expenses.

Belun Ring (Belun Sleep System BLS-100): Deep learning-facilitated wearable enables obstructive sleep apnea detection, apnea severity categorization, and sleep stage classification in patients suspected of obstructive sleep apnea.

GOAL AND AIMS: Our objective was to evaluate the performance of Belun Ring with second-generation deep learning algorithms in obstructive sleep apnea (OSA) detection, OSA severity categorization, and sleep stage classification. FOCUS TECHNOLOGY: Belun Ring with second-generation deep learning algorithms REFERENCE TECHNOLOGY: In-lab polysomnography (PSG) SAMPLE: Eighty-four subjects (M: F = 1:1) referred for an overnight sleep study were eligible. Of these, 26% had PSG-AHI<5; 24% had PSG-AHI 5-15; 23% had PSG-AHI 15-30; 27% had PSG-AHI ≥ 30. DESIGN: Rigorous performance evaluation by comparing Belun Ring to concurrent in-lab PSG using the 4% rule. CORE ANALYTICS: Pearson's correlation coefficient, Student's paired t-test, diagnostic accuracy, sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio, negative likelihood ratio, Cohen's kappa coefficient (kappa), Bland-Altman plots with bias and limits of agreement, receiver operating characteristics curves with area under the curve, and confusion matrix. CORE OUTCOMES: The accuracy, sensitivity, specificity, and kappa in categorizing AHI ≥ 5 were 0.85, 0.92, 0.64, and 0.58, respectively. The accuracy, sensitivity, specificity, and Kappa in categorizing AHI ≥ 15 were 0.89, 0.91, 0.88, and 0.79, respectively. The accuracy, sensitivity, specificity, and Kappa in categorizing AHI ≥ 30 were 0.91, 0.83, 0.93, and 0.76, respectively. BSP2 also achieved an accuracy of 0.88 in detecting wake, 0.82 in detecting NREM, and 0.90 in detecting REM sleep. CORE CONCLUSION: Belun Ring with second-generation algorithms detected OSA with good accuracy and demonstrated a moderate-to-substantial agreement in categorizing OSA severity and classifying sleep stages.

Economic and Humanistic Burden Among Medicare-Aged Women With Fragility Fracture in the United States.

OBJECTIVE: Describe patient characteristics, health care resource utilization, costs, and humanistic burden of women with Medicare insurance with incident fragility fracture who were admitted to post-acute-care (PAC). DESIGN: Retrospective cohort study using 100% Medicare Fee-for-Service (FFS) data. SETTING AND PARTICIPANTS: Community-dwelling female Medicare beneficiaries with incident fragility fracture January 1, 2017, to October 17, 2019, resulting in PAC admission to a skilled nursing facility (SNF), home-health care, inpatient-rehabilitation facility, or long-term acute-care hospital. METHODS: Patient demographic/clinical characteristics were measured during 1-year baseline. Resource utilization and costs were measured during baseline, PAC event, and PAC follow-up. Humanistic burden was measured among SNF patients with linked Minimum Data Set assessments. Multivariable regression examined predictors of PAC costs after discharge and changes in functional status during SNF stay. RESULTS: A total of 388,732 patients were included. Compared with baseline, hospitalization rates were 3.5, 2.4, 2.6, and 3.1 times higher and total costs 2.7, 2.0, 2.5, and 3.6 times higher for SNF, home-health, inpatient-rehabilitation, and long-term acute-care, respectively, following PAC discharge. Utilization of dual-energy X-ray absorptiometry (DXA) and osteoporosis medications remained low: 8.5% to 13.7% received DXA during baseline vs 5.2% to 15.6% following PAC; 10.2% to 12.0% received osteoporosis medication during baseline vs 11.4% to 22.3% following PAC. Dual eligibility for Medicaid (ie, low income) was associated with 12% higher costs; Black patients had 14% higher costs. Activities of daily living scores improved 3.5 points during SNF stay, but Black patients had 1.22-point lower improvement than White patients. Pain intensity scores showed small improvement (-0.8 points). CONCLUSIONS AND IMPLICATIONS: Women admitted to PAC with incident fracture had high humanistic burden with little improvement in pain and functional status and significantly higher economic burden after discharge compared with baseline. Disparities in outcomes related to social risk factors were observed, with consistently low utilization of DXA and osteoporosis medications even after fracture. Results indicate a need for improved early diagnosis and aggressive disease management to prevent and treat fragility fractures.

Impact of fragility fractures on activities of daily living and productivity in community-dwelling women: a multi-national study.

We estimated the short-term impact of fragility fractures on community-dwelling women in five countries. Women with fragility fractures reported significantly more difficulties performing activities of daily living and significantly higher levels of lost productivity and caregiver support than those without fractures; results highlight the multi-country indirect burden of fragility fractures. INTRODUCTION: To estimate the impact of fragility fractures on activities of daily living (ADL), productivity loss and caregiver support in women with a recent fragility fracture. METHODS: This multi-centre cross-sectional study enrolled community-dwelling women aged ≥ 50 years in South Korea, Spain, Germany, Australia and the United States. The fragility fracture cohort consisted of women with an index fragility fracture in the past 12 months; the fracture free cohort consisted of women with no fracture in the 18 months prior to study enrolment. Study participants completed three validated questionnaires: Lawton Instrumental ADL (IADL), Physical Self-Maintenance Scale (PSMS) and iMTA Productivity Cost Questionnaire (iPCQ). RESULTS: In total, 1,253 participants from 41 sites across the five countries were included. Compared with the fracture free cohorts, fragility fracture cohorts had significantly lower function and were more dependent on support (p < 0.05 in all countries for Lawton IADL, and in South Korea, Spain, Australia and the United States for PSMS), significantly higher hours of paid absenteeism (p < 0.05, Spain, Germany, Australia), significantly higher unpaid lost productivity (p < 0.05, South Korea, Spain, Germany), significantly more days of paid help received in the home (p < 0.05 South Korea, Spain and the United States), and significantly more days of unpaid help from family members or friends (p < 0.05, all countries). CONCLUSION: In this multi-national study, fragility fractures in community-dwelling ≥ 50 years women were associated with several outcomes indicating higher indirect burden and lower quality of life, including more difficulties performing ADL and higher levels of lost productivity and caregiver support.

Cardiovascular Event Recurrence and Costs after First Myocardial Infarction, Ischemic Stroke, or Intracerebral Hemorrhage in Taiwan.

Background/Objectives: We aimed to assess the incidence of recurrent cardiovascular (CV) events after the first myocardial infarction (MI), ischemic stroke (IS), or intracerebral hemorrhage (ICH) and to estimate acute and follow-up medical costs. Methods: Using Taiwan's National Health Insurance Research Database, we identified patients with their first MI, IS, or ICH between 2011 and 2017. The cumulative incidence rates of second CV events (including events of the same type [recurrent] or of the other two types) were estimated. The costs for hospitalization and all-cause follow-up were calculated for the first and recurrent CV events and are presented as median (Q1~Q3) in 2017 US dollars. Results: We identified 70,428 patients with a first MI, 123,857 with a first IS, and 41,347 with a first ICH. The cumulative incidence rates of recurrence during the first year and after six years were 3.9% and 10.1% for MI, 5.3% and 13.8% for IS, and 3.9% and 8.9% for ICH, respectively. For first and recurrent nonfatal events, acute hospitalization costs were $4,729 (3,737~5,985) and $4,459 (2,887~6,026) for MI; $1,136 (756~2,183) and $1,224 (774~2,412) for IS; and $2,985 (1,264~8,831) and $2,170 (1,183~4,675) for ICH, respectively. Total annual costs for nonfatal first events in the first year and second year of follow-up were $2413 (1,393~6,120) and $1,293 (654~2,868) for MI, $2,174 (1,040~5,472) and $1,394 (602~3,265) for IS, and $2,963 (995~8,352) and $1,185 (405~3,937) for ICH, respectively. Conclusions: In patients with a first MI, IS, and ICH, recurrent CV events continue to substantially impact public health and escalate the economic burden.

Lipid-Lowering Therapy Utilization and Dosage Among Patients with Acute Coronary Syndrome Events: A Retrospective Cohort from 12 Community Hospitals.

Introduction: Clinical practice guidelines recommend initiating a high-intensity LLT and continued monitoring of low-density lipoprotein cholesterol (LDL-C) following acute coronary syndrome (ACS). We used real-world data to describe LLT utilization after discharge and 1-year adherence. The reduction in LDL-C was also evaluated. Methods: Data were extracted from electronic health records (EHRs) from 12 hospitals in a large community healthcare system in midwestern United States between 2013 and 2019. Data on eligible patients recently discharged with an ACS event were linked to pharmacy claims data to describe LLT fill rates and 1-year post-discharge adherence. Adherence was reported as the proportion of days covered ≥80%. Results: Of the 10,589 eligible patients, 49% filled a high-intensity statin at discharge and only 36% were adherent at 1 year. The mean (SD) age was 66.1±13.3, 39.3% were females, 58.8% were Caucasian, and 53.0% had Medicare. There was a clear trend for greater fill rates at discharge among patients with higher LDL-C values than those with lower values (p<0.01). Key predictors of high-intensity (versus medium-intensity) LLT use within 21 days after an ACS event included ACS type (odds ratio [OR] 0.59; 95% confidence interval [CI] 0.52-0.67 for NSTEMI versus STEMI), age group (OR: 0.59; 95% CI: 0.48-0.72 for >75 years versus <65 years), and statin use before index ACS event (OR: 1.56; 95% CI: 1.23-1.88). Conclusion: This real-world study found that despite recommendations in clinical practice guidelines, high-intensity LLT fill rates at discharge and 1-year adherence to LLT remain suboptimal. Clinical characteristics, including ACS type and LDL-C values, were strong predictors of filling and adherence to guideline-recommended therapy. Age, sex, and race/ethnicity disparities were observed in discharge fill rates and 1-year adherence. These results highlight the need for continued efforts at the patient and provider levels to improve LLT adherence among ACS patients.

Estimating the future clinical and economic benefits of improving osteoporosis diagnosis and treatment among postmenopausal women across eight European countries.

A population-level, cross-sectional model was developed to estimate the clinical and economic burden of osteoporosis among women (≥ 70 years) across eight European countries. Results demonstrated that interventions aimed at improving fracture risk assessment and adherence would save 15.2% of annual costs in 2040. PURPOSE: Osteoporosis is associated with significant clinical and economic burden, expected to further increase with an ageing population. This modelling analysis assessed clinical and economic outcomes under different hypothetical disease management interventions to reduce this burden. METHODS: A population-level, cross-sectional cohort model was developed to estimate numbers of incident fractures and direct costs of care among women (≥ 70 years) in eight European countries under different hypothetical interventions: (1) an improvement in the risk assessment rate, (2) an improvement in the treatment adherence rate and (3) a combination of interventions 1 and 2. A 50% improvement from the status quo, based on existing disease management patterns, was evaluated in the main analysis; scenario analyses evaluated improvement of either 10 or 100%. RESULTS: Based on existing disease management patterns, a 44% increase in the annual number of fractures and costs was predicted from 2020 to 2040: from 1.2 million fractures and €12.8 billion in 2020 to 1.8 million fractures and €18.4 billion in 2040. Intervention 3 provided the greatest fracture reduction and cost savings (a decrease of 17.9% and 15.2% in fractures and cost, respectively) in 2040 compared with intervention 1 (decreases of 8.7% and 7.0% in fractures and cost, respectively) and intervention 2 (10.0% and 8.8% reductions in fracture and cost, respectively). Scenario analyses showed similar patterns. CONCLUSION: These analyses suggest that interventions which improve fracture risk assessment and adherence to treatments would relieve the burden of osteoporosis, and that a combination strategy would achieve greatest benefits.

Systematic literature review and meta-analysis of cardiovascular risk factor management in selected Asian countries.

Aim: There is a need to understand the management status of hypertension, dyslipidemia/hypercholesterolemia, and diabetes mellitus in the Asia-Pacific region (APAC). Methods: We conducted a systematic literature review and meta-analysis to summarize the awareness, treatment, and/or control rates of these risk factors in adults across 11 APAC countries/regions. Results: We included 138 studies. Individuals with dyslipidemia had the lowest pooled rates compared with those with other risk factors. Levels of awareness with diabetes mellitus, hypertension, and hypercholesterolemia were comparable. Individuals with hypercholesterolemia had a statistically lower pooled treatment rate but a higher pooled control rate than those with hypertension. Conclusion: The management of hypertension, dyslipidemia, and diabetes mellitus was suboptimal in these 11 countries/regions.

Detection of obstructive sleep apnea using Belun Sleep Platform wearable with neural network-based algorithm and its combined use with STOP-Bang questionnaire.

Many wearables allow physiological data acquisition in sleep and enable clinicians to assess sleep outside of sleep labs. Belun Sleep Platform (BSP) is a novel neural network-based home sleep apnea testing system utilizing a wearable ring device to detect obstructive sleep apnea (OSA). The objective of the study is to assess the performance of BSP for the evaluation of OSA. Subjects who take heart rate-affecting medications and those with non-arrhythmic comorbidities were included in this cohort. Polysomnography (PSG) studies were performed simultaneously with the Belun Ring in individuals who were referred to the sleep lab for an overnight sleep study. The sleep studies were manually scored using the American Academy of Sleep Medicine Scoring Manual (version 2.4) with 4% desaturation hypopnea criteria. A total of 78 subjects were recruited. Of these, 45% had AHI < 5; 18% had AHI 5-15; 19% had AHI 15-30; 18% had AHI ≥ 30. The Belun apnea-hypopnea index (bAHI) correlated well with the PSG-AHI (r = 0.888, P < 0.001). The Belun total sleep time (bTST) and PSG-TST had a high correlation coefficient (r = 0.967, P < 0.001). The accuracy, sensitivity, specificity in categorizing AHI ≥ 15 were 0.808 [95% CI, 0.703-0.888], 0.931 [95% CI, 0.772-0.992], and 0.735 [95% CI, 0.589-0.850], respectively. The use of beta-blocker/calcium-receptor antagonist and the presence of comorbidities did not negatively affect the sensitivity and specificity of BSP in predicting OSA. A diagnostic algorithm combining STOP-Bang cutoff of 5 and bAHI cutoff of 15 events/h demonstrated an accuracy, sensitivity, specificity of 0.938 [95% CI, 0.828-0.987], 0.944 [95% CI, 0.727-0.999], and 0.933 [95% CI, 0.779-0.992], respectively, for the diagnosis of moderate to severe OSA. BSP is a promising testing tool for OSA assessment and can potentially be incorporated into clinical practices for the identification of OSA. Trial registration: ClinicalTrial.org NCT03997916 https://clinicaltrials.gov/ct2/show/NCT03997916?term=belun+ring&draw=2&rank=1.

Data-Driven Many-Body Models for Molecular Fluids: CO2/H2O Mixtures as a Case Study.

In this study, we extend the scope of the many-body TTM-nrg and MB-nrg potential energy functions (PEFs), originally introduced for halide ion-water and alkali-metal ion-water interactions, to the modeling of carbon dioxide (CO2) and water (H2O) mixtures as prototypical examples of molecular fluids. Both TTM-nrg and MB-nrg PEFs are derived entirely from electronic structure data obtained at the coupled cluster level of theory and are, by construction, compatible with MB-pol, a many-body PEF that has been shown to accurately reproduce the properties of water. Although both TTM-nrg and MB-nrg PEFs adopt the same functional forms for describing permanent electrostatics, polarization, and dispersion, they differ in the representation of short-range contributions, with the TTM-nrg PEFs relying on conventional Born-Mayer expressions and the MB-nrg PEFs employing multidimensional permutationally invariant polynomials. By providing a physically correct description of many-body effects at both short and long ranges, the MB-nrg PEFs are shown to quantitatively represent the global potential energy surfaces of the CO2-CO2 and CO2-H2O dimers and the energetics of small clusters, as well as to correctly reproduce various properties in both gas and liquid phases. Building upon previous studies of aqueous systems, our analysis provides further evidence for the accuracy and efficiency of the MB-nrg framework in representing molecular interactions in fluid mixtures at different temperature and pressure conditions.

Collaboration of Hospital Pharmacists and Hospitalists to Address Glycemic Control of General Medicine Patients: Implementation of a Pilot Inpatient Diabetes Management Program.

This study examined the clinical benefits of a collaborative pharmacist-physician inpatient diabetes management program that included daily blood glucose assessment and the recommendation and implementation of American Diabetes Association-recommended insulin regimens.

Leveraging psycholinguistic resources and emotional sequence models for suicide note emotion annotation.

We describe the submission entered by SRI International and UC Davis for the I2B2 NLP Challenge Track 2. Our system is based on a machine learning approach and employs a combination of lexical, syntactic, and psycholinguistic features. In addition, we model the sequence and locations of occurrence of emotions found in the notes. We discuss the effect of these features on the emotion annotation task, as well as the nature of the notes themselves. We also explore the use of bootstrapping to help account for what appeared to be annotator fatigue in the data. We conclude a discussion of future avenues for improving the approach for this task, and also discuss how annotations at the word span level may be more appropriate for this task than annotations at the sentence level.

Depression and self-focused language in structured interviews with older men.

The association between depression and self-focused language has been found to varying extents across studies. The presence or absence of the association may depend on the communicative context. Based on Beck's depression model, a broad, evaluative self-focused question was predicted more likely to elicit a stronger association than a full interview containing a more heterogeneous question set of items. The spontaneous speech obtained during structured interviews of 26 depressed and nondepressed older men, an as-yet little studied population, was analyzed. Results were consistent with the hypothesis that association between self-focused language and depression was demonstrated in the target question but not across the entire interview. The results may explain some of the aforementioned discrepancies in prior studies.

Correlation of regional metabolic rates of glucose with glasgow coma scale after traumatic brain injury.

UNLABELLED: After traumatic brain injury (TBI), subcortical white matter damage may induce a functional disconnection leading to a dissociation of regional cerebral metabolic rate of glucose (CMRglc) between the cerebral cortex and deeper brain regions. Therefore, thalamic and brain stem CMRglc may have a closer correlation than does the cerebral cortex with depth of coma after TBI. METHODS: Eleven adult healthy volunteers and 23 adult patients with TBI (median initial Glasgow Coma Scale score [GCSini], 8) underwent (18)F-FDG PET within 5 d after injury. The CMRglc of cortical areas (remote from hemorrhagic lesions), striatum, thalamus, brain stem, cerebellar cortex, and whole brain was compared with severity of injury and the level of consciousness evaluated using GCSini and the Glasgow Coma Scale score at the time of PET (GCSpet). RESULTS: The regional CMRglc of the brain stem is relatively unaffected by the TBI. Compared with healthy volunteers, TBI patients exhibited significantly depressed CMRglc in the striatum (3.9 +/- 1.3 vs. 5.1 +/- 0.9 mg/100 g/min, P < 0.05) and thalamus (3.1 +/- 1.0 vs. 4.3 +/- 0.9 mg/100 g/min, P < 0.05). CMRglc levels were not statistically lower in the cerebellum (2.9 +/- 0.8 vs. 3.5 +/- 0.8 mg/100 g/min, P = NS) and brain stem (2.5 +/- 0.5 vs. 2.6 +/- 0.5 mg/100 g/min, P = NS). However, compared between comatose and noncomatose patients, CMRglc values in the thalamus (2.7 +/- 0.7 vs. 3.6 +/- 1.2 mg/100 g/min, P < 0.05), brain stem (2.2 +/- 0.4 vs. 2.8 +/- 0.5 mg/100 g/min, P < 0.01), and cerebellar cortex (2.6 +/- 0.5 vs. 3.4 +/- 1.0 mg/100 g/min, P < 0.05) were significantly lower in comatose patients. When individual values of regional CMRglc were plotted against posttraumatic level of consciousness, CMRglc values for the thalamus, brain stem, and cerebellum significantly correlated with the level of consciousness at the time of PET (r = 0.58, P < 0.01; r = 0.66, P < 0.01; r = 0.64, P < 0.01, respectively). CT or MRI findings were normal for the analyzed structures except for 3 patients with diffuse axonal injury of the brain stem. The presence of shear injury was associated with poor GCSini (P < 0.05.) but was not related to GCSpet and brain stem CMRglc. CONCLUSION: A PET investigation using (18)F FDG demonstrated a significant difference in glucose metabolism in the thalamus, brain stem, and cerebellum between comatose and noncomatose patients acutely after TBI. The metabolic rate of glucose in these regions significantly correlated with the level of consciousness at the time of PET.

Measurement of the global lumped constant for 2-deoxy-2-[18F]fluoro-D-glucose in normal human brain using [15O]water and 2-deoxy-2-[18F]fluoro-D-glucose positron emission tomography imaging. A method with validation based on multiple methodologies.

PURPOSE: This study aims to determine a lumped constant (LC) value that can be applied to the 2-deoxy-2[18F]fluoro-D-glucose positron emission tomography (FDG-PET) study to yield a physiological value of cerebral metabolic rate of glucose (CMR(glc)) in normal brain. PROCEDURES: We developed a more robust method for determining the global FDG LC. Dynamic FDG and H(2)(15)O PET studied were acquired in 18 normal subjects. Arterial-venous difference of blood glucose level was measured. RESULTS: A global LC of 0.65 +/- 0.15 was obtained if a 3-microparameter FDG model (k*(4)=0)was assumed. Assumption of a 4-microparameter FDG model (k*(4) not equal 0) in analyzing the FDG data resulted in a higher LC value of 0.81 +/- 0.18. CONCLUSION: The value of LC used for quantitating CMR(glc) should match the assumption inherent to the method of data analysis. The LC results in this study agree well with recent findings in the literature.