1,344 research outputs found

    Impact of Hypothyroidism and Heart Failure on Hospitalization Risk.

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    BackgroundPrior studies suggest that the relationship between hypothyroidism and mortality is dependent on underlying cardiovascular risk. Little is known about the association of hypothyroidism with hospitalization risk, and how these associations are modified by cardiovascular status.MethodsThis study examined the association of thyroid status, defined by serum thyrotropin (TSH), with hospitalization risk among patients who received care at a large university-based tertiary care center between 1990 and 2015. Thyroid status was categorized as hypothyroidism versus euthyroidism (TSH >4.7 vs. 0.3-4.7 mIU/L, respectively). The relationship between thyroid status and hospitalization risk stratified by cardiovascular status was examined using multivariable Cox models.ResultsAmong 52,856 patients who met eligibility criteria, 49,791 (94.2%) had euthyroidism and 3065 (5.8%) had hypothyroidism. In analyses stratified by congestive heart failure (CHF) status, compared to euthyroidism, hypothyroidism was associated with higher risk of hospitalization in those with CHF but slightly lower risk in those without CHF (adjusted hazard ratio [aHRs] = 1.86 [confidence interval (CI) 1.17-2.94] and HR = 0.95 [CI 0.92-0.99], respectively; p = 0.006). In sensitivity analyses accounting for death as a competing event, underlying coronary artery disease modified the hypothyroidism-hospitalization relationship, such that stronger associations were observed among those with versus without coronary artery disease. In competing risk analyses, hypothyroidism was associated with higher versus lower risk of hospitalization among those with versus without cerebrovascular disease, respectively.ConclusionsHypothyroidism is associated with higher hospitalization risk among patients with underlying cardiovascular disease. Future studies are needed to determine whether correction of thyroid status with replacement therapy ameliorates hospitalization risk in this population

    NF-ÎșB Induction of the SUMO Protease SENP2: A Negative Feedback Loop to Attenuate Cell Survival Response to Genotoxic Stress

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    Activation of NF-ÎșB, pivotal for immunity and oncogenesis, is tightly controlled by multiple feedback mechanisms. In response to DNA damage, SUMOylation of NEMO (NF-ÎșB essential modulator) is critical for NF-ÎșB activation, however SUMO proteases and feedback mechanisms involved remain unknown. Here we show that among the six known SENPs (Sentrin/SUMO-specific proteases) only SENP2 can efficiently associate with NEMO, deSUMOylate NEMO and inhibit NF-ÎșB activation induced by DNA damage. We further show that NF-ÎșB induces SENP2 (and SENP1) transcription selectively in response to genotoxic stimuli, which involves ATM (ataxia telangiectasia mutated)-dependent histone methylation of SENP2 promoter ÎșB regions and NF-ÎșB recruitment. SENP2-null cells display biphasic NEMO SUMOylation and activation of IKK and NF-ÎșB, and higher resistance to DNA damage-induced cell death. Our study establishes a self-attenuating feedback mechanism selective to DNA damage induced signaling to limit NF-ÎșB-dependent cell survival responses

    Population-level management of Type 1 diabetes via continuous glucose monitoring and algorithm-enabled patient prioritization: Precision health meets population health

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    OBJECTIVE: To develop and scale algorithm-enabled patient prioritization to improve population-level management of type 1 diabetes (T1D) in a pediatric clinic with fixed resources, using telemedicine and remote monitoring of patients via continuous glucose monitor (CGM) data review. RESEARCH DESIGN AND METHODS: We adapted consensus glucose targets for T1D patients using CGM to identify interpretable clinical criteria to prioritize patients for weekly provider review. The criteria were constructed to manage the number of patients reviewed weekly and identify patients who most needed provider contact. We developed an interactive dashboard to display CGM data relevant for the patients prioritized for review. RESULTS: The introduction of the new criteria and interactive dashboard was associated with a 60% reduction in the mean time spent by diabetes team members who remotely and asynchronously reviewed patient data and contacted patients, from 3.2 ± 0.20 to 1.3 ± 0.24 min per patient per week. Given fixed resources for review, this corresponded to an estimated 147% increase in weekly clinic capacity. Patients who qualified for and received remote review (n = 58) have associated 8.8 percentage points (pp) (95% CI = 0.6–16.9 pp) greater time-in-range (70–180 mg/dl) glucoses compared to 25 control patients who did not qualify at 12 months after T1D onset. CONCLUSIONS: An algorithm-enabled prioritization of T1D patients with CGM for asynchronous remote review reduced provider time spent per patient and was associated with improved time-in-range

    Stop Atherosclerosis in Native Diabetics Study (SANDS): Baseline Characteristics of the Randomized Cohort

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    Objectives: To present baseline characteristics of American Indians in the Stop Atherosclerosis in Native Diabetics Study (SANDS) and compare them with population-based data from American Indians and other ethnic groups. Design: 499 people with type 2 diabetes ≄ age 40, without known CVD, were recruited for a randomized 3-year trial to evaluate treatment targets for LDL-C (70 vs. 100 mg/dL) and systolic blood pressure (BP) (115 vs. 130 mmHg). Baseline evaluations included physical exam, collection of blood and urine samples, and carotid ultrasound and echocardiographic measures. Results: Mean age was 56 years; 66% were female. Average BMI was 33 kg/m2. Average duration of both hypertension and diabetes was 10 years, average A1c was 8.0 %, and mean LDL-C was 104 mg/dL. Participants in the conventional treatment group had slightly higher systolic BPs than participants in the aggressive treatment group (133 mm Hg vs. 128 mm Hg, p \u3c 0.002). Compared with the population-based cohorts of the Strong Heart Study (SHS), NHANES, and the TRIAD registry, SANDS participants had similar values for lipids, BP, and CRP, as well as degree of obesity, smoking rates, and renal function as indicated by estimated glomerular filtration rate. Conclusions: The baseline characteristics of the SANDS cohort are similar to those of a population-based sample of American Indian diabetic men and women and closely resemble diabetic men and women of other ethnic groups. Results from this study can be used to identify appropriate targets for LDL-C and BP lowering in diabetic American Indians and diabetic patients in other ethnic groups

    Investigating transportation research based on social media analysis: A systematic mapping review

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    Social media is a pool of users’ thoughts, opinions, surrounding environment, situation and others. This pool can be used as a real-time and feedback data source for many domains such as transportation. It can be used to get instant feedback from commuters; their opinions toward the transportation network and their complaints, in addition to the traffic situation, road conditions, events detection and many others. The problem is in how to utilize social media data to achieve one or more of these targets. A systematic review was conducted in the field of transportation-related research based on social media analysis (TRRSMA) from the years between 2008 and 2018; 74 papers were identified from an initial set of 703 papers extracted from 4 digital libraries. This review will structure the field and give an overview based on the following grounds: activity, keywords, approaches, social media data and platforms and focus of the researches. It will show the trend in the research subjects by countries, in addition to the activity trends, platforms usage trend and others. Further analysis of the most employed approach (Lexicons) and data (text) will be also shown. Finally, challenges and future works are drawn and proposed

    The Long-Baseline Neutrino Experiment: Exploring Fundamental Symmetries of the Universe

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    The preponderance of matter over antimatter in the early Universe, the dynamics of the supernova bursts that produced the heavy elements necessary for life and whether protons eventually decay --- these mysteries at the forefront of particle physics and astrophysics are key to understanding the early evolution of our Universe, its current state and its eventual fate. The Long-Baseline Neutrino Experiment (LBNE) represents an extensively developed plan for a world-class experiment dedicated to addressing these questions. LBNE is conceived around three central components: (1) a new, high-intensity neutrino source generated from a megawatt-class proton accelerator at Fermi National Accelerator Laboratory, (2) a near neutrino detector just downstream of the source, and (3) a massive liquid argon time-projection chamber deployed as a far detector deep underground at the Sanford Underground Research Facility. This facility, located at the site of the former Homestake Mine in Lead, South Dakota, is approximately 1,300 km from the neutrino source at Fermilab -- a distance (baseline) that delivers optimal sensitivity to neutrino charge-parity symmetry violation and mass ordering effects. This ambitious yet cost-effective design incorporates scalability and flexibility and can accommodate a variety of upgrades and contributions. With its exceptional combination of experimental configuration, technical capabilities, and potential for transformative discoveries, LBNE promises to be a vital facility for the field of particle physics worldwide, providing physicists from around the globe with opportunities to collaborate in a twenty to thirty year program of exciting science. In this document we provide a comprehensive overview of LBNE's scientific objectives, its place in the landscape of neutrino physics worldwide, the technologies it will incorporate and the capabilities it will possess.Comment: Major update of previous version. This is the reference document for LBNE science program and current status. Chapters 1, 3, and 9 provide a comprehensive overview of LBNE's scientific objectives, its place in the landscape of neutrino physics worldwide, the technologies it will incorporate and the capabilities it will possess. 288 pages, 116 figure
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