scholarly journals Thrombosis Risk Assessment In The COVID-19 Era

2020 ◽  
Vol 10 (3) ◽  
pp. 1-2
Author(s):  
Joseph A Caprini
Keyword(s):  
Risk Assessment ◽  
Preventive Measures ◽  
Quality Data ◽  
High Quality Data ◽  
Thrombosis Risk ◽  
Anticoagulant Drugs ◽  
Venous Thromboembolic Events ◽  
Venous Thromboembolic ◽  
Risk Scoring ◽  
Anticoagulant Prophylaxis

The appearance of the coronavirus pandemic has prompted a renewed interest in thrombosis risk assessment, particularly since this disease is associated with a high risk of thrombotic events. It is known that the number one preventable cause of death in hospitalized patients including those having surgical procedures is fatal pulmonary emboli. There is also high-quality data that the use of anticoagulant drugs in the proper dose, and for the period of time shown to be efficacious, will prevent most fatal events. It is true that even with the use of the best anticoagulant regimes venous thromboembolic events (VTE) can still occur but are rarely fatal. We also realize that providing adequate anticoagulant prophylaxis for the entire period of risk is the key to preventing these deaths.  Thrombosis risk scoring identifies who's at risk for these emboli and guides physician choices for appropriate preventive measures.

Invited Review: Pharmacogenetics of estrogen replacement therapy

2001 ◽  
Vol 91 (6) ◽  
pp. 2776-2784 ◽  
Author(s):  
David M. Herrington ◽  
Karen Potvin Klein
Keyword(s):  
Estrogen Replacement Therapy ◽  
Genetic Factors ◽  
Estrogen Receptor Α ◽  
Estrogen Replacement ◽  
Risk Gene ◽  
Thrombosis Risk ◽  
Venous Thromboembolic Events ◽  
Venous Thromboembolic ◽  
Relationship Of ◽  
The Relationship

There are a number of genetic factors that likely modulate both the beneficial and adverse effects of estrogen. An important domain of consideration is the relationship of estrogen and thrombosis risk. Gene polymorphisms among the key elements of the coagulation and fibrinolytic cascade appear to influence the effects of estrogen on risk for venous thromboembolic events and possibly arterial thrombosis as well. Emerging data also suggest that allelic variants in the estrogen receptor-α may modulate estrogen's effects, especially with respect to bone and lipid metabolism.

scholarly journals A risk assessment model for predicting venous thromboembolic events in chemotherapy-treated germ-cell cancer

2016 ◽  
Vol 27 ◽  
pp. vi512
Author(s):  
M.I. Luengo ◽  
D. Hervás ◽  
N. Sobrevilla ◽  
X. Garciadel Muro ◽  
J. Guma I. Padro ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Germ Cell ◽  
Cell Cancer ◽  
Germ Cell Cancer ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Thromboembolic Events ◽  
Venous Thromboembolic Events ◽  
Venous Thromboembolic

Incidence of Venous Thromboembolic Events in Mandated Risk Assessment versus Optional DVT Prophylaxis Era at a Large Tertiary Cancer Center

2015 ◽  
Vol 81 (9) ◽  
pp. 893-898
Author(s):  
Moshim Kukar ◽  
Joseph Asaro ◽  
Anthony Aquino ◽  
Adrienne Groman ◽  
Joseph Skitzki ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Hospital Admissions ◽  
Outpatient Surgery ◽  
Cancer Center ◽  
Thromboembolic Events ◽  
Dvt Prophylaxis ◽  
Opt Out ◽  
Venous Thromboembolic Events ◽  
Venous Thromboembolic ◽  
Tertiary Cancer Center

Cancer patients are thought to be at high risk for venous thromboembolic events (DVT/PE). Beginning in October 2007, our tertiary cancer center instituted “mandated risk assessment” computerized DVT prophylaxis order entry, for all hospital admissions with an option for active opt out by the physician with a stated reason. Retrospective review of all DVT/PE events within 30 days of a hospital admission [any inpatient admission (IA) and outpatient surgery (OPS)] in comparable “optional (O)” (January 2005—September 2007) vs “mandated risk assessment (M)” (October 2007–May 2010) DVT prophylaxis order eras. Patient demographics, admission details, type of prophylaxis, treatment, and outcome were also analyzed. There were 16,363 for the O (11,944 IA/4,419 OPS) and 17,757 for the M (12,957 IA/4,800 OPS) DVT prophylaxis order eras. The number of DVT/PE events in the O era was 67 (prevalence 0.41%) versus 102 for the M era (prevalence 0.57%), P = 0.037. In the DVT/PE patients, DVT prophylaxis had been ordered during the index admission in 66 per cent for O versus 83 per cent for M ( P = 0.008). Low-molecular-weight heparin was increasingly used in M era (33% vs 16%, P = 0.009). There was also no difference between O vs M era for status at DVT/PE diagnosis (outpatient 36% vs 24%) or associated symptoms. There were no deaths attributable to DVT/PE in the O era versus 3 deaths in the M era. Although DVT prophylaxis use improved with “mandated risk assessment” ordering, the DVT/PE incidence did not decrease. It may be difficult to overcome the surprisingly low baseline prevalence and multiple risk factors in this population.

What Can Digitization Do For Formulated Product Innovation and Development

2020 ◽  
Author(s):  
James McDonagh ◽  
William Swope ◽  
Richard L. Anderson ◽  
Michael Johnston ◽  
David J. Bray
Keyword(s):  
High Performance ◽  
Quality Data ◽  
High Quality Data ◽  
Base Level ◽  
Hybrid Approaches ◽  
Digital Ecosystem ◽  
Recent Developments ◽  
Chemical Simulation ◽  
High Level ◽  
Physical And Chemical

Digitization offers significant opportunities for the formulated product industry to transform the way it works and develop new methods of business. R&D is one area of operation that is challenging to take advantage of these technologies due to its high level of domain specialisation and creativity but the benefits could be significant. Recent developments of base level technologies such as artificial intelligence (AI)/machine learning (ML), robotics and high performance computing (HPC), to name a few, present disruptive and transformative technologies which could offer new insights, discovery methods and enhanced chemical control when combined in a digital ecosystem of connectivity, distributive services and decentralisation. At the fundamental level, research in these technologies has shown that new physical and chemical insights can be gained, which in turn can augment experimental R&D approaches through physics-based chemical simulation, data driven models and hybrid approaches. In all of these cases, high quality data is required to build and validate models in addition to the skills and expertise to exploit such methods. In this article we give an overview of some of the digital technology demonstrators we have developed for formulated product R&D. We discuss the challenges in building and deploying these demonstrators.<br>

Collecting High-Quality Data

2018 ◽  
Author(s):  
Mary Kay Gugerty ◽  
Dean Karlan
Keyword(s):  
Data Collection ◽  
Social Desirability ◽  
Measurement Errors ◽  
Monitoring And Evaluation ◽  
Quality Data ◽  
Social Desirability Bias ◽  
High Quality ◽  
High Quality Data ◽  
Evaluation Systems ◽  
Demand Effect

Without high-quality data, even the best-designed monitoring and evaluation systems will collapse. Chapter 7 introduces some the basics of collecting high-quality data and discusses how to address challenges that frequently arise. High-quality data must be clearly defined and have an indicator that validly and reliably measures the intended concept. The chapter then explains how to avoid common biases and measurement errors like anchoring, social desirability bias, the experimenter demand effect, unclear wording, long recall periods, and translation context. It then guides organizations on how to find indicators, test data collection instruments, manage surveys, and train staff appropriately for data collection and entry.

scholarly journals Velocity Analysis Using Separated Diffractions for Lunar Penetrating Radar Obtained by Yutu-2 Rover

2021 ◽  
Vol 13 (7) ◽  
pp. 1387
Author(s):  
Chao Li ◽  
Jinhai Zhang
Keyword(s):  
Dielectric Permittivity ◽  
Lunar Regolith ◽  
Velocity Model ◽  
Velocity Estimation ◽  
Quality Data ◽  
High Quality Data ◽  
Shallow Subsurface ◽  
Subsurface Structures ◽  
Ground Penetrating ◽  
Permittivity Model

The high-frequency channel of lunar penetrating radar (LPR) onboard Yutu-2 rover successfully collected high quality data on the far side of the Moon, which provide a chance for us to detect the shallow subsurface structures and thickness of lunar regolith. However, traditional methods cannot obtain reliable dielectric permittivity model, especially in the presence of high mix between diffractions and reflections, which is essential for understanding and interpreting the composition of lunar subsurface materials. In this paper, we introduce an effective method to construct a reliable velocity model by separating diffractions from reflections and perform focusing analysis using separated diffractions. We first used the plane-wave destruction method to extract weak-energy diffractions interfered by strong reflections, and the LPR data are separated into two parts: diffractions and reflections. Then, we construct a macro-velocity model of lunar subsurface by focusing analysis on separated diffractions. Both the synthetic ground penetrating radar (GPR) and LPR data shows that the migration results of separated reflections have much clearer subsurface structures, compared with the migration results of un-separated data. Our results produce accurate velocity estimation, which is vital for high-precision migration; additionally, the accurate velocity estimation directly provides solid constraints on the dielectric permittivity at different depth.

scholarly journals Redistribution Preferences, Inequality Information, and Partisan Motivated Reasoning in the United States

Societies ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 65
Author(s):  
Clem Brooks ◽  
Elijah Harter
Keyword(s):  
Party Identification ◽  
Motivated Reasoning ◽  
The United States ◽  
Quality Data ◽  
Historical Time ◽  
High Quality Data ◽  
Redistributive Policies ◽  
Election Studies ◽  
New Evidence ◽  
The U.S

In an era of rising inequality, the U.S. public’s relatively modest support for redistributive policies has been a puzzle for scholars. Deepening the paradox is recent evidence that presenting information about inequality increases subjects’ support for redistributive policies by only a small amount. What explains inequality information’s limited effects? We extend partisan motivated reasoning scholarship to investigate whether political party identification confounds individuals’ processing of inequality information. Our study considers a much larger number of redistribution preference measures (12) than past scholarship. We offer a second novelty by bringing the dimension of historical time into hypothesis testing. Analyzing high-quality data from four American National Election Studies surveys, we find new evidence that partisanship confounds the interrelationship of inequality information and redistribution preferences. Further, our analyses find the effects of partisanship on redistribution preferences grew in magnitude from 2004 through 2016. We discuss implications for scholarship on information, motivated reasoning, and attitudes towards redistribution.

scholarly journals Recurrence of Upper Extremity Deep Vein Thrombosis Secondary to COVID-19

Viruses ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 878
Author(s):  
Yesha H. Parekh ◽  
Nicole J. Altomare ◽  
Erin P. McDonnell ◽  
Martin J. Blaser ◽  
Payal D. Parikh
Keyword(s):  
Deep Vein Thrombosis ◽  
Lower Extremity ◽  
Upper Extremity ◽  
Thromboembolic Events ◽  
Vein Thrombosis ◽  
Venous Thromboembolic Events ◽  
Venous Thromboembolic ◽  
Deep Vein

Infection with SARS-CoV-2 leading to COVID-19 induces hyperinflammatory and hypercoagulable states, resulting in arterial and venous thromboembolic events. Deep vein thrombosis (DVT) has been well reported in COVID-19 patients. While most DVTs occur in a lower extremity, involvement of the upper extremity is uncommon. In this report, we describe the first reported patient with an upper extremity DVT recurrence secondary to COVID-19 infection.

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