Prevalence of Mild Cognitive Impairment and Alzheimer's Disease Identified in Veterans in the United States.

Background: Diagnostic codes can be instrumental for case identification in Alzheimer's disease (AD) research; however, this method has known limitations and cannot distinguish between disease stages. Clinical notes may offer more detailed information including AD severity and can complement diagnostic codes for case identification. Objective: To estimate prevalence of mild cognitive impairment (MCI) and AD using diagnostics codes and clinical notes available in the electronic healthcare record (EHR). Methods: This was a retrospective study in the Veterans Affairs Healthcare System (VAHS). Health records from Veterans aged 65 years or older were reviewed during Fiscal Years (FY) 2010-2019. Overall, 274,736 and 469,569 Veterans were identified based on a rule-based algorithm as having at least one clinical note for MCI and AD, respectively; 201,211 and 149,779 Veterans had a diagnostic code for MCI and AD, respectively. During FY 2011-2018, likely MCI or AD diagnosis was defined by≥2 qualifiers (i.e., notes and/or codes)≥30 days apart. Veterans with only 1 qualifier were considered as suspected MCI/AD. Results: Over the 8-year study, 147,106 and 207,225 Veterans had likely MCI and AD, respectively. From 2011 to 2018, yearly MCI prevalence increased from 0.9% to 2.2%; yearly AD prevalence slightly decreased from 2.4% to 2.1%; mild AD changed from 22.9% to 26.8%, moderate AD changed from 26.5% to 29.1%, and severe AD changed from 24.6% to 30.7. Conclusions: The relative distribution of AD severities was stable over time. Accurate prevalence estimation is critical for healthcare resource allocation and facilitating patients receiving innovative medicines.

Calcium Signal Analysis in the Zebrafish Heart via Phase Matching of the Cardiac Cycle.

Calcium signalling in the endocardium is critical for heart valve development. Calcium ion pulses in the endocardium are generated in response to mechanical forces due to blood flow and can be visualised in the beating zebrafish heart using a genetically encoded calcium indicator such as GCaMP7a. Analysing these pulses is challenging because of the rapid movement of the heart during heartbeat. This protocol outlines an imaging analysis method used to phase-match the cardiac cycle in single z-slice movies of the beating heart, allowing easy measurement of the calcium signal. Key features • Software to synchronise and analyse frames from movies of the beating heart corresponding to a user-defined phase of the cardiac cycle. • Software to measure the fluorescence intensity of the beating heart corresponding to a user-defined region of interest.

Clinical Characterization of Veterans With Alzheimer Disease by Disease Severity in the United States.

PURPOSE: We aimed to examine the clinical characteristics of US veterans who underwent neurocognitive test score-based assessments of Alzheimer disease (AD) stage in the Veterans Affairs Healthcare System (VAHS). METHODS: Test dates for specific stages of AD were referenced as index dates to study behavioral and psychological symptoms of dementia (BPSD) and other patient characteristics related to utilization/work-up and time to death. PATIENTS: We identified veterans with AD and neurocognitive evaluations using the VAHS Electronic Health Record (EHR). RESULTS: Anxiety and sleep disorders/disturbances were the most documented BPSDs across all AD severity stages. Magnetic resonance imaging, neurology and psychiatry consultations, and neuropsychiatric evaluations were slightly higher in veterans with mild AD than in those at later stages. The overall average time to death from the first AD severity record was 5 years for mild and 4 years for moderate/severe AD. CONCLUSION: We found differences in clinical symptoms, healthcare utilization, and survival among the mild, moderate, and severe stages of AD. These differences are limited by the low documentation of BPSDs among veterans with test score-based AD stages. These data support the hypothesis that our cohorts represent coherent subgroups of patients with AD based on disease severity.

Assessing Quality of Life, Economic Burden, and Independence Across the Alzheimer's Disease Continuum Using Patient-Caregiver Dyad Surveys.

Background: Alzheimer's disease (AD) and mild cognitive impairment (MCI) have negative quality of life (QoL) and economic impacts on patients and their caregivers and may increase along the disease continuum from MCI to mild, moderate, and severe AD. Objective: To assess how patient and caregiver QoL, indirect and intangible costs are associated with MCI and AD severity. Methods: An on-line survey of physician-identified patient-caregiver dyads living in the United States was conducted from June-October 2022 and included questions to both patients and their caregivers. Dementia Quality of Life Proxy, the Care-related Quality of Life, Work Productivity and Activity Impairment, and Dependence scale were incorporated into the survey. Regression analyses investigated the association between disease severity and QoL and cost outcomes with adjustment for baseline characteristics. Results: One-hundred patient-caregiver dyads were assessed with the survey (MCI, n = 27; mild AD, n = 27; moderate AD, n = 25; severe AD, n = 21). Decreased QoL was found with worsening severity in patients (p < 0.01) and in unpaid (informal) caregivers (n = 79; p = 0.02). Dependence increased with disease severity (p < 0.01). Advanced disease severity was associated with higher costs to employers (p = 0.04), but not with indirect costs to caregivers. Patient and unpaid caregiver intangible costs increased with disease severity (p < 0.01). A significant trend of higher summed costs (indirect costs to caregivers, costs to employers, intangible costs to patients and caregivers) in more severe AD was observed (p < 0.01). Conclusions: Patient QoL and functional independence and unpaid caregiver QoL decrease as AD severity increases. Intangible costs to patients and summed costs increase with disease severity and are highest in severe AD.

The Role of Mental Health Conditions in Early Detection and Treatment of Veterans With Alzheimer's Dementia.

INTRODUCTION: The benefits of early detection of Alzheimer's disease (AD) have become increasingly recognized. Veterans with mental health conditions (MHCs) may be less likely to receive a specific AD diagnosis compared to veterans without MHCs. We investigated whether rates of MHCs differed between veterans diagnosed with unspecified dementia (UD) vs. AD to better understand the role MHCs might play in establishing a diagnosis of AD. MATERIALS AND METHODS: This retrospective analysis (2015-2022) identified UD and AD with diagnostic code-based criteria. We determined the proportion of veterans with MHCs in UD vs. AD cohorts. Secondarily, we assessed the distribution of UD/AD diagnoses in veterans with and without MHCs. RESULTS: We identified 145,309 veterans with UD and 33,996 with AD. The proportion of each MHC was consistently higher in UD vs. AD cohorts: 41.4% vs. 33.2% (depression), 26.9% vs. 20.3% (post-traumatic stress disorder), 23.4% vs. 18.2% (anxiety), 4.3% vs. 2.1% (bipolar disorder), and 3.9% vs. 1.5% (schizophrenia). The UD diagnostic code was used in 84% of veterans with MHCs vs. 78% without MHCs (P < .001). CONCLUSIONS: Mental health conditions were more likely in veterans with UD vs. AD diagnoses; comorbid MHC may contribute to delayed AD diagnosis.

Distinguishing features of Parkinson's disease fallers based on wireless insole plantar pressure monitoring.

Postural instability is one of the most disabling motor signs of Parkinson's disease (PD) and often underlies an increased likelihood of falling and loss of independence. Current clinical assessments of PD-related postural instability are based on a retropulsion test, which introduces human error and only evaluates reactive balance. There is an unmet need for objective, multi-dimensional assessments of postural instability that directly reflect activities of daily living in which individuals may experience postural instability. In this study, we trained machine-learning models on insole plantar pressure data from 111 participants (44 with PD and 67 controls) as they performed simulated static and active postural tasks of activities that often occur during daily living. Models accurately classified PD from young controls (area under the curve (AUC) 0.99+/- 0.00), PD from age-matched controls (AUC 0.99+/- 0.01), and PD fallers from PD non-fallers (AUC 0.91+/- 0.08). Utilizing features from both static and active postural tasks significantly improved classification performances, and all tasks were useful for separating PD from controls; however, tasks with higher postural threats were preferred for separating PD fallers from PD non-fallers.

Alzheimer's Disease Stage Transitions Among United States Veterans.

BACKGROUND: Alzheimer's disease (AD) and related dementias are progressive neurological disorders with stage-specific clinical features and challenges. An important knowledge gap is the "window of time" within which patients transition from mild cognitive impairment or mild AD to moderate or severe AD. Better characterization/establishment of transition times would help clinicians initiating treatments, including anti-amyloid therapy. OBJECTIVE: To describe cognitive test score-based AD stage transitions in Veterans with AD in the US Veterans Affairs Healthcare System (VAHS). METHODS: This retrospective analysis (2010-2019) identified Veterans with AD from the VAHS Electronic Health Record (EHR) notes. AD stage was based on Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), or Saint Louis University Mental Status (SLUMS) Examination scores in the EHR. RESULTS: We identified 296,519 Veterans with cognitive test-based AD staging. Over the 10-year study, the proportion of veterans with MMSE scores declined from 24.9% to 9.5% while those with SLUMS rose from 9.0% to 17.8%; and MoCA rose from 5.0% to 25.4%. The average forward transition times between each stage were approximately 2-4 years, whether assessed by MMSE, MoCA, or SLUMS. CONCLUSION: The average transition time for cognitive test-based assessments of initial cognitive decline, early-stage AD, and moderate/severe AD in the VAHS is 2-4 years. In view of the short window for introducing disease-modifying therapy and the significant benefits of early treatment of AD, our data suggest a critical need for treatment guidelines in the management of AD.

Rule-Based Identification of Individuals with Mild Cognitive Impairment or Alzheimer's Disease Using Clinical Notes from the United States Veterans Affairs Healthcare System.

BACKGROUND: Early identification of individuals with mild cognitive impairment (MCI) and Alzheimer's disease (AD) is a clinical and research imperative. Use of diagnostic codes for MCI and AD identification has limitations. We used clinical notes to supplement diagnostic codes in the Veterans Affairs Healthcare System (VAHS) electronic health records (EHR) to identify and establish cohorts of Veterans recorded with MCI or AD. METHODS: Targeted keyword searches for MCI ("Mild cognitive impairment;" "MCI") and AD ("Alz*") were used to extract clinical notes from the VAHS EHR from fiscal year (FY) 2010 through FY 2019. Iterative steps of inclusion and exclusion were applied until searches achieved a positive predictive value ≥ 80%. MCI and AD cohorts were identified via clinical notes and/or diagnostic codes (i.e., including Veterans recorded by "Notes Only," "Notes + Code," or "Codes Only"). RESULTS: A total of 2,134,661 clinical notes from 339,007 Veterans met the iterative search criteria for MCI due to any cause and 4,231,933 notes from 572,063 Veterans met the iterative search criteria for AD. Over the 10-year study period, the number of clinical notes recording AD was generally stable, whereas the number for MCI more than doubled. More Veterans were identified for the MCI or AD cohorts via clinical notes than by diagnostic codes, particularly in the AD cohort. Among Veterans identified by having "Notes + Code" for MCI, the number first recorded by a code was lower than the number first recorded by a note until FY 2015 and then gradually became comparable after FY 2015. Among Veterans identified by having "Notes + Code" for AD, the number first recorded by a note was more than double the number first recorded by a code AD in each of the FYs. CONCLUSIONS: Clinical note-based identification captured more Veterans recorded with MCI and AD than diagnostic code-based identification.

Estimating Transition Probabilities Across the Alzheimer's Disease Continuum Using a Nationally Representative Real-World Database in the United States.

INTRODUCTION: Clinical Alzheimer's disease (AD) begins with mild cognitive impairment (MCI) and progresses to mild, moderate, or severe dementia, constituting a disease continuum that eventually leads to death. This study aimed to estimate the probabilities of transitions across those disease states. METHODS: We developed a mixed-effects multi-state Markov model to estimate the transition probabilities, adjusted for 5 baseline covariates, using the Health and Retirement Study (HRS) database. HRS surveys older adults in the United States bi-annually. Alzheimer states were defined using the modified Telephone Interview of Cognitive Status (TICS-m). RESULTS: A total of 11,292 AD patients were analyzed. Patients were 70.8 ± 9.0 years old, 54.9% female, and with 12.0 ± 3.3 years of education. Within 1 year from the initial state, the model estimated a higher probability of transition to the next AD state in earlier disease: 12.8% from MCI to mild AD and 5.0% from mild to moderate AD, but < 1% from moderate to severe AD. After 10 years, the probability of transition to the next state was markedly higher for all states, but still higher in earlier disease: 29.8% from MCI to mild AD, 23.5% from mild to moderate AD, and 5.7% from moderate to severe AD. Across all AD states, the probability of transition to death was < 5% after 1 year and > 15% after 10 years. Older age, fewer years of education, unemployment, and nursing home stay were associated with a higher risk of disease progression (p < 0.01). CONCLUSIONS: This analysis shows that the risk of progression is greater in earlier AD states, increases over time, and is higher in patients who are older, with fewer years of education, unemployed, or in a nursing home at baseline. The estimated transition probabilities can provide guidance for future disease management and clinical trial design optimization, and can be used to refine existing cost-effectiveness frameworks.

Impacts of Wildfire Smoke and Air Pollution on a Pediatric Population with Asthma: A Population-Based Study.

Wildfires are increasing yearly in number and severity as a part of the evolving climate crisis. These fires are a significant source of air pollution, a common driver of flares in cardiorespiratory disease, including asthma, which is the most common chronic disease of childhood. Poorly controlled asthma leads to significant societal costs through morbidity, mortality, lost school and work time and healthcare utilization. This retrospective cohort study set in Calgary, Canada evaluates the relationship between asthma exacerbations during wildfire smoke events and equivalent low-pollution periods in a pediatric asthma population. Air pollution was based on daily average levels of PM2.5. Wildfire smoke events were determined by combining information from provincial databases and local monitors. Exposures were assumed using postal codes in the health record at the time of emergency department visits. Provincial claims data identified 27,501 asthma exacerbations in 57,375 children with asthma between 2010 to 2021. Wildfire smoke days demonstrated an increase in asthma exacerbations over the baseline (incidence rate ratio: 1.13; 95% CI: 1.02-1.24); this was not seen with air pollution in general. Increased rates of asthma exacerbations were also noted yearly in September. Asthma exacerbations were significantly decreased during periods of COVID-19 healthcare precautions.

Dopamine replacement therapy normalizes reactive step length to postural perturbations in Parkinson's disease.

BACKGROUND: Postural instability is one of the most disabling motor symptoms of Parkinson's disease (PD) given its association with falls and loss of independence. Previous studies have assessed biomechanical measures of reactive stepping in response to perturbations, showing that individuals with PD exhibit inadequate postural responses to regain balance. RESEARCH QUESTION: Does dopamine replacement therapy normalize step length in response to balance perturbations? METHODS: In this study, we estimated reactive step length, to a postural perturbation, retrospectively from a dataset of frontal plane video using 2D motion tracking and direct linear transform methods. We compared two perturbation methods: support surface translation and shoulder pull (the clinical standard) in 14 individuals with PD and 13 without PD (on and off medication), with and without partial body weight support (BWS). The primary outcome was the length of the first step taken to regain balance after the perturbation analyzed with mixed effects ANOVA, with post hoc analysis of anteroposterior (AP) and mediolateral (ML) components. RESULTS: PD OFF medication exhibited shorter reactive step length compared to PD ON and compared to control groups for the surface translation perturbations, but no significant difference was observed for the shoulder pull perturbations. SIGNIFICANCE: Dopamine replacement therapy affects step length in response to perturbation more robustly for surface translations than for a pull by the shoulders.

Microraft arrays for serial-killer CD19 chimeric antigen receptor T cells and single cell isolation.

Chimeric antigen receptor T (CAR-T) cell immunotherapies have seen success in treating hematological malignancies in recent years; however, the results can be highly variable. Single cell heterogeneity plays a key role in the variable efficacy of CAR-T cell treatments yet is largely unexplored. A major challenge is to understand the killing behavior and phenotype of individual CAR-T cells, which are able to serially kill targets. Thus, a platform capable of measuring time-dependent CAR-T cell mediated killing and then isolating single cells for downstream assays would be invaluable in characterizing CAR-T cells. An automated microraft array platform was designed to track CD19 CAR-T cell killing of CD19+ target cells and CAR-T cell motility over time followed by CAR-T cell collection based on killing behavior. The platform demonstrated automated CAR-T cell counting with up to 98% specificity and 96% sensitivity, and single cells were isolated with 89% efficiency. On average, 2.3% of single CAR-T cells were shown to participate in serial-killing of target cells, killing a maximum of three target cells in a 6 h period. The cytotoxicity and motility of >7000 individual CAR-T cells was tracked across four microraft arrays. The automated microraft array platform measured temporal cell-mediated cytotoxicity, CAR-T cell motility, CAR-T cell death, and CAR-T cell to target cell distances, followed by the capability to sort any desired CAR-T cell. The pipeline has the potential to further our understanding of T cell-based cancer immunotherapies and improve cell-therapy products for better patient outcomes.

Integration of Doctor of Acupuncture and Oriental Medicine (DAOM) Students in a Trauma Center's Acute Pain Service: In-Person and Remote Training and Patient Care.

Objective: Evidence of effectiveness and demand for acupuncture to treat acute pain conditions is growing, as is the need for acupuncturists trained to deliver patient care in a hospital setting. This articles describes collaboration between Bastyr University and Harborview Medical Center to incorporate Doctor of Acupuncture and Oriental Medicine (DAOM) students into a trauma hospital setting. Materials and Methods: A model was developed to integrate DAOM students into an Anesthesiology Acute Pain Service to provide acupuncture to postoperative inpatients. That in-person model pivoted to remote student education and patient self-care education during the COVID 19 outbreak. A review was conducted of 323 consecutive patients who received acupuncture while they were hospitalized. Results: The review of 323 consecutive patients who received acupuncture for pain during their hospital admission indicated that as few as one acupuncture treatment resulted in clinically significant benefits. No serious complications or safety concerns were reported. Conclusions: Collaboration between academic and clinical programs can provide the structure to integrate acupuncture into hospital settings safely and with benefit to patients and students.

Dupilumab Treatment Provides Sustained Improvements Over 2 Years in Symptoms and Quality of Life in Adults with Atopic Dermatitis.

INTRODUCTION: Atopic dermatitis (AD) can have a profound negative impact on the quality of life (QoL) of patients. We analyzed the long-term changes in AD symptoms, QoL, and patient assessment of treatment effect in adults with moderate-to-severe AD treated for 2 years with dupilumab. METHODS: LIBERTY AD OLE (NCT01949311) is a multicenter, open-label extension (OLE) study in adults with moderate-to-severe AD who previously participated in dupilumab clinical trials (parent studies). Patients received dupilumab 300 mg weekly. Patient-Oriented Eczema Measure (POEM), Dermatology Life Quality Index (DLQI), EQ-5D-3L, and the Patient Global Assessment of Treatment Effect (PGATE) were assessed at weeks 48 and 100. RESULTS: A total of 2677 patients were included in the OLE, and 1028 completed week 100. By weeks 48 and 100, 94.1% and 95.6% of patients achieved a ≥ 4-point change in POEM from the parent study baseline (PSBL), respectively, and 93.3% and 93.4% of patients had achieved a ≥ 4-point change in DLQI from PSBL, respectively. At week 100, 35.1% of patients had a POEM score ≤ 2 (AD clear/almost clear) compared with 0.1% at PSBL, and 49.9% had a DLQI score of 0 or 1 (no effect at all on patient's life) compared with 1.5% at PSBL. At week 100, 74.5-97.3% of patients reported no effect of AD on the individual EQ-5D-3L domains, and 93.8% rated the effect of dupilumab treatment as "excellent," "very good," or "good" according to PGATE. CONCLUSION: In adults with moderate-to-severe AD, dupilumab treatment over 2 years resulted in sustained improvements in patient-reported symptoms and QoL and a favorable patient perception of treatment effect. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT01949311. Supplementary material 1 (MP4 552250 kb).

Atopic dermatitis is a common skin disease that causes scaly, itchy skin. It can have a profoundly negative effect on a patient's quality of life (QoL). In short-term clinical trials, dupilumab treatment resulted in significant improvements in signs and symptoms of atopic dermatitis, and in the QoL reported by patients, together with acceptable safety. In this study, adults with moderate-to-severe atopic dermatitis who had completed one of the short-term clinical trials continued dupilumab treatment, including those who had taken placebo. This study allowed researchers to continue to evaluate how dupilumab worked in the long term, including its impact on patient-reported outcomes, which measure the success of treatment from the patient's own perspective. The results were evaluated at approximately 1 and 2 years of this open-label extension study and were compared with the period just before the patient was first treated with dupilumab so that the effect of dupilumab could be seen. At approximately 1 and 2 years, most patients had achieved clinically meaningful improvements in two measures: Patient Oriented Eczema Measure, a tool used by patients to self-report the severity of their symptoms, and Dermatology Life Quality Index, which allows patients to report the effect of the disease on their QoL. Additionally, in this open-label extension study, most patients described their experience of being treated with dupilumab as "excellent," "very good," or "good" using the Patient Global Assessment of Treatment Effect questionnaire. Dupilumab treatment resulted in sustained improvements in atopic dermatitis and was regarded favorably by patients.

Assay and Isolation of Single Proliferating CD4+ Lymphocytes Using an Automated Microraft Array Platform.

OBJECTIVE: While T lymphocytes have been employed as a cancer immunotherapy, the development of effective and specific T-cell-based therapeutics remains challenging. A key obstacle is the difficulty in identifying T cells reactive to cancer-associated antigens. The objective of this research was to develop a versatile platform for single cell analysis and isolation that can be applied in immunology research and clinical therapy development. METHODS: An automated microscopy and cell sorting system was developed to track the proliferative behavior of single-cell human primary CD4+ lymphocytes in response to stimulation using allogeneic lymphoblastoid feeder cells. RESULTS: The system identified single human T lymphocytes with a sensitivity of 98% and specificity of 99% and possessed a cell collection efficiency of 86%. Time-lapse imaging simultaneously tracked 4,534 alloreactive T cells on a single array; 19% of the arrayed cells formed colonies of ≥2 cells. From the array, 130 clonal colonies were isolated and 7 grew to colony sizes of >10,000 cells, consistent with the known proliferative capacity of T cells in vitro and their tendency to become exhausted with prolonged stimulation. The isolated colonies underwent ELISA assay to detect interferon-γ secretion and Sanger sequencing to determine T cell receptor ß sequences with a 100% success rate. CONCLUSION: The platform is capable of both identification and isolation of proliferative T cells in an automated manner. SIGNIFICANCE: This novel technology enables the identification of TCR sequences based on T cell proliferation which is expected to speed the development of future cancer immunotherapies.

Guidelines-based treatment associated with improved economic outcomes in nontuberculous mycobacterial lung disease.

Background: The prevalence of nontuberculous mycobacterial lung disease (NTMLD) in the US has increased; however, data characterizing the associated healthcare utilization and expenditure at the national level are limited. Objective: To examine associations between economic outcomes and the use of anti-Mycobacterium avium complex (MAC) guidelines-based treatment (GBT) for newly-diagnosed NTMLD in a US national managed care claims database (Optum® Clinformatics® Data Mart). Methods: NTMLD was defined as having ≥2 claims for NTMLD (ICD-9 031.0; ICD-10 A31.0) on separate occasions ≥30 days apart (between 2007 and 2016). The cohort included patients insured continuously over a period of at least 36 months (12 months before initial NTMLD diagnostic claim and for the subsequent 24 months). Treatment was classified as GBT (consistent with American Thoracic Society/Infectious Diseases Society of America guidelines), non-GBT, or untreated. All-cause hospitalization rates and total healthcare expenditures at Year 2 were assessed as outcomes of the treatment prescribed in Year 1 after NTMLD diagnosis. Results: A total of 1,039 patients met study criteria for NTMLD (GBT, n = 294; non-GBT, n = 298; untreated, n = 447). After adjustment for baseline characteristics, GBT was associated with a significantly lower all-cause hospitalization risk vs non-GBT (odds ratio [OR] = 0.53; 95% CI = 0.33-0.85, p = 0.008), and vs being untreated (OR = 0.57; 95% CI = 0.35-0.91, p = 0.020). Adjusted total healthcare expenditure in Year 2 with GBT ($69,691) was lower than that with non-GBT ($77,624) with a difference of -$7,933 (95% CI = -$14,968 to -$899; p = 0.03). Conclusions: Patients with NTMLD in a US managed care claims database who were prescribed GBT had lower hospitalization risk than those who were prescribed non-GBT or were untreated. GBT was associated with lower total healthcare expenditure compared with non-GBT.

High Electron Mobility of Amorphous Red Phosphorus Thin Films.

Black phosphorus (BP) has been gathering great attention for its electronic and optoelectronic applications due to its high electron mobility and high ION/OFF current switching ratio. The limitations of this material include its low synthetic yield and high cost. One alternative to BP is another type of phosphorus allotrope, red phosphorus (RP), which is much more affordable and easier to process. Although RP has been widely used in industry for hundreds of years and considered as an insulating material, in this study, we demonstrate through field-effect transistors (FET) measurements that amorphous red phosphorus (a-RP) films are semiconductive with a high mobility of 387 cm2 V-1 s-1 and a current switching ratio of ≈103 , which is comparable to the electronic characteristics previously reported for BP. The films were produced via a thermal evaporation method or a facile drop-casting approach onto Si/SiO2 substrates. We also report a study of the oxidation process of the films over time and a method to stabilize the films via doping a-RP with metal oxides. The doped films retain stability for one thousand I-V cycles, with no signs of degradation.

Relative risk of all-cause mortality in patients with nontuberculous mycobacterial lung disease in a US managed care population.

RATIONALE: The risk of all-cause mortality of nontuberculous mycobacterial lung disease (NTMLD) in the United States (US) population is not well established. OBJECTIVES: This study aims to assess the public health burden of NTMLD in the US by comparing the relative risk of all-cause mortality in the NTMLD population with an age- and sex-matched cohort from the general population. METHODS: Patients with physician claims for NTMLD (ICD-9 0.031; ICD-10 A31.0) were identified between 2007 and 2016 from a large US national managed care insurance plan covering approximately 15-18 million members annually. A control group with no NTMLD ICD-9 or 10 codes was randomly selected from the general population and matched 3:1 to the NTMLD sample according to birth year, gender, and insurance benefit coverage. The date of first NTMLD diagnosis of each patient was assigned to the matched controls as the index date. The Cox proportional hazard method compared survival between cohorts, adjusting for demographic factors and baseline comorbidities. RESULTS: A total of 2005 patients with NTMLD and 6014 controls were identified, with a mean follow-up duration of 3.4 years and 3.7 years, respectively. The NTMLD group had substantially higher proportions of patients with asthma (23.3% versus 3.5%), bronchiectasis (36.5% versus 0.1%), COPD (52.0% versus 5.9%), arrhythmia (22.6% versus 6.5%), coronary artery disease (18.5% versus 6.6%), heart failure (11.9% versus 4.1%), and cancer (18.5% versus 5.0%). The unadjusted rate of all-cause mortality from the index date was 20.7 per 1000 person-years in the NTMLD group vs 5.6 per 1000 person-years in the control group (rate ratio = 3.73; 95% CI: 2.93-4.75). Multivariable Cox regression, adjusted for the above variables as well as all other important baseline covariates, showed a doubling risk of all-cause mortality (hazard ratio [HR] = 2.06; CI: 1.52-2.79; P < 0.001) in the NTMLD vs control group. CONCLUSIONS: All-cause mortality, adjusted for other factors, more than doubled with NTMLD compared with an age-sex-matched control group in a large US national managed care insurance plan.

Health Care Utilization and Expenditures Following Diagnosis of Nontuberculous Mycobacterial Lung Disease in the United States.

BACKGROUND: Nontuberculous mycobacterial lung disease (NTMLD) is an important public health concern that has been increasing in prevalence. OBJECTIVES: To (a) describe hospitalizations and health care expenditures among patients with newly diagnosed NTMLD and (b) estimate attributable hospitalizations and expenditures to NTMLD in the United States. METHODS: In this matched cohort study, patients and controls were identified from a large U.S. national managed care insurance database containing aggregated health claims of up to 18 million fully covered members annually. NTMLD was defined based on diagnostic claims for NTMLD on ≥ 2 separate occasions ≥ 30 days apart between 2007 and 2016. Thirty-six months of continuous enrollment (12 months before and 24 months after the first diagnostic claim) was required. Health care utilization and standardized health care expenditures were summarized over 12 months before NTMLD diagnosis and for 2 subsequent years. The percentage of patients that were hospitalized in years 1 and 2 was evaluated using a generalized mixed effects model with adjustment for baseline hospitalizations, Charlson Comorbidity Index, and baseline diseases. A general estimating equation model was used to evaluate health care expenditures. RESULTS: There were 1,039 patients in the NTMLD cohort and 2,078 in the control cohort. NTMLD patients had a 55.0% risk of hospitalization in year 1 (95% CI = 45.4-64.3) and a 38.8% risk in year 2 (95% CI = 30.0-48.4). The adjusted risk of hospitalization was significantly higher in the NTMLD group compared with the control group in year 1 (OR = 4.64; 95% CI = 3.74-5.76; P < 0.001) and year 2 (OR = 2.26; 95% CI = 1.78-2.87; P < 0.001). Year 1 adjusted mean health care expenditures for the total NTMLD patient population were $72,475 (95% CI = $58,510-$86,440) and for the matched control population were $28,405 (95% CI = $8,859-$47,950), with a difference of $44,070 (95% CI = $27,132-$61,008; P < 0.001). Year 2 adjusted mean expenditures for the overall NTMLD patient group were $48,114 (95% CI = $31,722-$64,507) and for the matched control group were $28,990 (95% CI = $9,429-$48,552), with a difference of $19,124 (95% CI = $7,865-$30,383; P < 0.001). CONCLUSIONS: Patients with NTMLD have a significantly greater risk of hospitalization and higher total health care expenditures than matched control patients without NTMLD. DISCLOSURES: This study was financially sponsored by Insmed. Marras reports fees from Insmed, Astra Zeneca, RedHill, and Horizon, all outside the current work. Mirsaeidi has nothing to disclose. Eagle, Q. Zhang, Chou, and Leuchars are employees of Insmed. R. Zhang is a contracted consultant at Insmed. The views expressed here are those of the authors and are not to be attributed to their respective affiliations.

H1/pHGFK1 nanoparticles exert anti-tumoural and radiosensitising effects by inhibition of MET in glioblastoma.

BACKGROUND: The therapeutic resistance to ionising radiation (IR) and anti-angiogenesis mainly impair the prognosis of patients with glioblastoma. The primary and secondary MET aberrant activation is one crucial factor for these resistances. The kringle 1 domain of hepatocyte growth factor (HGFK1), an angiogenic inhibitor, contains a high-affinity binding domain of MET; however, its effects on glioblastoma remain elusive. METHODS: We formed the nanoparticles consisting of a folate receptor-targeted nanoparticle-mediated HGFK1 gene (H1/pHGFK1) and studied its anti-tumoural and radiosensitive activities in both subcutaneous and orthotopic human glioma cell-xenografted mouse models. We then elucidated its molecular mechanisms in human glioblastoma cell lines in vitro. RESULTS: We demonstrated for the first time that peritumoural injection of H1/pHGFK1 nanoparticles significantly inhibited tumour growth and prolonged survival in tumour-bearing mice, as well as enhanced the anti-tumoural efficacies of IR in vivo by reducing Ki-67 expression, enhancing TUNEL staining-indicated apoptotic indexes, reducing microvascular intensity and reversing IR-induced MET overexpression in tumour tissues. Furthermore, we showed that HGFK1 suppressed the proliferation and induced cell apoptosis and enhanced sensitivity to IR in glioblastoma cell lines, mainly by suppressing the activities of MET receptor, down-regulating ATM-Chk2 axis but up-regulating Chk1. CONCLUSIONS: H1/pHGFK1 exerts anti-tumoural and radiosensitive activities mainly through the inhibition and reversal of IR-induced MET and ATM-Chk2 axis activities in glioblastoma. H1/pHGFK1 nanoparticles are a potential radiosensitiser and angiogenic inhibitor for glioblastoma treatment.