Randomized placebo controlled trial evaluating the safety and efficacy of single low dose intracoronary insulin like growth factor following percutaneous coronary intervention in acute myocardial infarction (RESUS-AMI)

Background: Residual and significant post-infarction left ventricular (LV) dysfunction, despite technically successful percutaneous coronary intervention (PCI) for ST-elevation myocardial infarction (STEMI), remains an important clinical issue. In preclinical models low dose insulin-like growth factor 1 (IGF1) has potent cytoprotective and positive cardiac remodelling effects. We studied the safety and efficacy of immediate post PCI low dose intracoronary IGF1 infusion in STEMI patients. Methods: Using a double-blind, placebo controlled, multi-dose study design, we randomized 47 STEMI patients with significantly reduced (≤ 40%) LV ejection fraction (LVEF) after successful PCI to single intracoronary infusion of placebo (n=15), 1.5ng IGF1 (n=16) or 15ng IGF1 (n=16). All received optimal medical therapy. Safety endpoints were freedom from hypoglycaemia, hypotension or significant arrhythmias within 1 hour of therapy. The primary efficacy endpoint was LVEF and secondary endpoints were LV volumes, mass, stroke volume, and infarct size at 2 months follow up, all assessed by MRI. Treatment effects were estimated by analysis of covariance adjusted for baseline (24hrs) outcome. Results: No significant differences in safety endpoints occurred between treatment groups out to 30 days (chi squared test, p-value = 0.77).There were no statistically significant differences in baseline (24 hrs post STEMI) clinical characteristics or LVEF among groups. LVEF at 2 months, compared to baseline, increased in all groups with no statistically significant differences related to treatment assignment. However, compared with placebo or 1.5ng IGF1, treatment with 15ng IGF1 was associated with a significant improvement in indexed LV end-diastolic volume (p=0.018), LV mass (p=0.004) and stroke volume (p=0.016). Late gadolinium enhancement (±SD) at 2 months was lower in 15ng IGF1 (34.5±29.6g) compared to placebo (49.1±19.3g) or 1.5ng IGF1 (47.4±22.4g) treated patients, though the result was not statistically significant (p = 0.095). Conclusion: In this pilot trial, low dose IGF1, given after optimal mechanical reperfusion in STEMI, is safe but does not improve LVEF. However, there is a signal for a dose dependent benefit on post MI remodeling that may warrant further study. Despite timely reperfusion by primary PCI (PPCI) a significant cohort of patients develop adverse left ventricular remodelling with clinical sequelae such as arrhythmia and heart failure[1].Therapeutic approaches to avert such remodeling, including a variety of cell therapy and ischemia- reperfusion-injury mitigation trials have achieved modest success 2.;3. Thus, there remains a significant opportunity for novel therapies in this field

PaCTS 1.0: a crowdsourced reporting standard for paleoclimate data

The progress of science is tied to the standardization of measurements, instruments, and data. This is especially true in the Big Data age, where analyzing large data volumes critically hinges on the data being standardized. Accordingly, the lack of community-sanctioned data standards in paleoclimatology has largely precluded the benefits of Big Data advances in the field. Building upon recent efforts to standardize the format and terminology of paleoclimate data, this article describes the Paleoclimate Community reporTing Standard (PaCTS), a crowdsourced reporting standard for such data. PaCTS captures which information should be included when reporting paleoclimate data, with the goal of maximizing the reuse value of paleoclimate datasets, particularly for synthesis work and comparison to climate model simulations. Initiated by the LinkedEarth project, the process to elicit a reporting standard involved an international workshop in 2016, various forms of digital community engagement over the next few years, and grassroots working groups. Participants in this process identified important properties across paleoclimate archives, in addition to the reporting of uncertainties and chronologies; they also identified archive-specific properties and distinguished reporting standards for new vs. legacy datasets. This work shows that at least 135 respondents overwhelmingly support a drastic increase in the amount of metadata accompanying paleoclimate datasets. Since such goals are at odds with present practices, we discuss a transparent path towards implementing or revising these recommendations in the near future, using both bottom-up and top-down approaches

International longitudinal registry of patients with atrial fibrillation and treated with rivaroxaban: RIVaroxaban Evaluation in Real life setting (RIVER)

Background Real-world data on non-vitamin K oral anticoagulants (NOACs) are essential in determining whether evidence from randomised controlled clinical trials translate into meaningful clinical benefits for patients in everyday practice. RIVER (RIVaroxaban Evaluation in Real life setting) is an ongoing international, prospective registry of patients with newly diagnosed non-valvular atrial fibrillation (NVAF) and at least one investigator-determined risk factor for stroke who received rivaroxaban as an initial treatment for the prevention of thromboembolic stroke. The aim of this paper is to describe the design of the RIVER registry and baseline characteristics of patients with newly diagnosed NVAF who received rivaroxaban as an initial treatment. Methods and results Between January 2014 and June 2017, RIVER investigators recruited 5072 patients at 309 centres in 17 countries. The aim was to enroll consecutive patients at sites where rivaroxaban was already routinely prescribed for stroke prevention. Each patient is being followed up prospectively for a minimum of 2-years. The registry will capture data on the rate and nature of all thromboembolic events (stroke / systemic embolism), bleeding complications, all-cause mortality and other major cardiovascular events as they occur. Data quality is assured through a combination of remote electronic monitoring and onsite monitoring (including source data verification in 10% of cases). Patients were mostly enrolled by cardiologists (n = 3776, 74.6%), by internal medicine specialists 14.2% (n = 718) and by primary care/general practice physicians 8.2% (n = 417). The mean (SD) age of the population was 69.5 (11.0) years, 44.3% were women. Mean (SD) CHADS2 score was 1.9 (1.2) and CHA2DS2-VASc scores was 3.2 (1.6). Almost all patients (98.5%) were prescribed with once daily dose of rivaroxaban, most commonly 20 mg (76.5%) and 15 mg (20.0%) as their initial treatment; 17.9% of patients received concomitant antiplatelet therapy. Most patients enrolled in RIVER met the recommended threshold for AC therapy (86.6% for 2012 ESC Guidelines, and 79.8% of patients according to 2016 ESC Guidelines). Conclusions The RIVER prospective registry will expand our knowledge of how rivaroxaban is prescribed in everyday practice and whether evidence from clinical trials can be translated to the broader cross-section of patients in the real world

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency–Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

Analysis of Loss of Coolant Accident in MTR Pool Type Research Reactors

Abstract During the operation lifetime of a Nuclear Research Reactors, the frequency of occurrence of LOCA event is expected to be very seldom. In case of MTR pool type research reactor, a loss of coolant accident could occur as consequence of a rupture of a pipe of the primary cooling system or a break of an experimental beam tube. The objective of the present work is to investigate the behaviour of the fuel elements during a total loss of coolant accident. Under these conditions, the internal natural circulation of the fluid is suppressed due to total loss of the coolant but there still convection by air of the containment. This hypothetical scenario has been simulated by applying the RELAP5/Mod 3.2 code system to the IAEA 10MW benchmark research reactor. The obtained results has shown that in case of complete loss of coolant in the pool, the maximum cladding temperature reached is below the melting point (~ 500°C) for a research reactor operating at nominal power of 4 MW. For A 10MW operating reactor, the melting is observed few seconds after the complete pool drainage after only 16 min of the beginning of the acciden