7:16 PM 7/18/2020
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Covid-19 Review: The Pandemic As The Bio-Info-Weapon – The Disease X-19
I respectfully recommend to WHO and the Scientific Community to rename “Covid-19” into the “Disease X-19”, because the etiology of this syndrome is highly uncertain, and it might involve more pathogens than Sars-Cov-2 alone (possibly Hantaviruses, ASF, and/or other infections). Furthermore; presently, as reported by the clinicians, the clinical picture appears to be the complex multi-organ – multi-system failures, it looks quite different from the one which was initially observed and described in China in the beginning of 2020. It is more than just the terminology; it is the correct unbiased thinking and the correct, fruitful research and the interventions. Naturally, the broader outlook changes the perspectives on the evaluation: all the relevant lab tests have to be performed, including on the old preserved samples. The comprehensive studies, testing this hypothesis are needed. It looks like from the times of Antiquity the Co-infections were the preferred tool of the Biowarfare as the simple method of increasing the pathogenic efficiency. The unusual and well documented proliferation of rodents, including the large rats in the major cities globally, along with their noticeably abnormal behavior is a clue that they might be the vectors in the transmissions of the combined infections. The recent, in the last several years, mostly reported in 2013-1019 massive epizootics of the viral illnesses in pigs livestock in China are the reasons for concern as the possible source of the infections in rodents and the possible zoonotic jump in the present Pandemic. This line of thought corresponds with the recently reported data about the earlier than thought previously emergence of the Pandemic: in the Spring-Summer of 2019, both in China and Europe, and the theoretical (computational) possibility of the Sars-Cov-2 emergence since at least 2013. We have to understand the nature of the Disease X-19, before we attempt to determine its origins. Michael Novakhov | 7.13.20
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| Fauci holds up New York as model for fighting coronavirus They did it correctly | |||||||||||||||||||
National Institute of Allergy and Infectious Diseases Director Anthony Fauci attends the daily coronavirus briefing in the Brady Press Briefing Room at the White House on April 09, 2020 in Washington, DC. U.S. unemployment claims have approached 17 million over the past three weeks amid the COVID-19 pandemic.
Alex Wong | Getty Images
White House health advisor Anthony Fauci has praised New York for its handling of the coronavirus pandemic, saying the state responded correctly to bring its outbreak under control.
We know that, when you do it properly, you bring down those cases. We have done it. We have done it in New York, Fauci said in an interview with PBS NewsHour that aired Friday evening.
New York got hit worse than any place in the world. And they did it correctly by doing the things that youre talking about, he continued.
New York was once the epicenter of the outbreak in the United States with more than 10,000 new cases a day during its peak outbreak in April. The state has dramatically reduced daily new infections to 776 as of Thursday.
New York is one of nine U.S. states that has the virus under control, according to the tracking project Covid Act Now. Less than 1% of New Yorkers tested for the virus were positive Thursday, down from a high of more than 40%.
Gov. Andrew Cuomo instituted some of the strictest reopening requirements in the country, insisting that stay-at-home orders remain in place and many businesses remain closed far longer than states that are now seeing surges such as Texas and Florida.
More than 400,000 New Yorkers have been infected by the virus since the pandemic began and at least 32,463 people have died in the state.
New York City is scheduled to enter phase 4 on Monday, the next stage of reopening that allows outdoor activities like zoos, outdoor films and gardens. Indoor restaurants, bars, museums, and malls will remain closed, Cuomo said Friday.
Im so proud of what New Yorkers have done. But we must continue to be on alert, Cuomo tweeted.
Cuomo has warned of a potential second wave of the coronavirus, as dozens of states around the country grapple with a spike in the number of confirmed coronavirus infections after reopening rapidly in the spring. Last Sunday, Florida reported more than 15,000 new infections, more than New York during the peak of its outbreak.
In his comments Friday, Fauci addressed the surges around the country, urging people to wear masks and pushing for the closure of bars to limit the spread of the virus.
Stay away from crowds. Close the bars, Fauci said. You appeal to the people in the local areas, close those bars. They are seriously the one of the major reasons why were seeing [the surges].
And I think, if we do that for a couple of weeks in a row, he continued, I think were going to see a turnaround, because we know that that works.
The coronavirus outbreak has spread worldwide, with more than 14 million confirmed cases and over 597,000 deaths, according to data from Johns Hopkins University. The U.S. has had more than 3.6 million cases and at least 139,302 deaths, according to the latest tallies, more than any other country.
-- CNBCs Berkeley Lovelace contributed to this report.
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| 1:40 PM 7/18/2020 - Covid-19 as the political, information, and the biological weapon of the New Abwehr and their tool, Russian-Jewish Mafia or TOC | |||||||||||||||||||
 1:40 PM 7/18/2020 1:40 PM 7/18/2020 - Covid-19 as the political, information, and the biological weapon of the New Abwehr and their tool, Russian-Jewish Mafia or TOC - GS _________________________________________________________________________ Saved, Shared Stories, Tweets - on RSS Dog In 250 Posts | Page | In Brief - Page | <a href="http://feed.informer.com/digests/8IQI2HPNXE/feeder.rss" rel="nofollow">http://feed.informer.com/digests/8IQI2HPNXE/feeder.rss</a> <a href="http://feed.informer.com/digests/8IQI2HPNXE/feeder.atom" rel="nofollow">http://feed.informer.com/digests/8IQI2HPNXE/feeder.atom</a> __________________________________________________________________
» mikenov on Twitter: 600,000 Minks Have Died of Coronavirus in the Netherlands, Possibly Ending the Pelt Industry sciencetimes.com/articles/26322
18/07/20 13:15 from TWEETS BY MIKENOV from mikenova (1 sites) 600,000 Minks Have Died of Coronavirus in the Netherlands, Possibly Ending the Pelt Industry sciencetimes.com/articles/26322 Posted by mikenov on Saturday, July 18th, 2020 5:15pm mikenov on Twitter
» mikenov on Twitter: Coronavirus and animals: From farmed mink to your pet cat, here's what we know - CNN cnn.com/2020/07/17/hea
18/07/20 13:14 from TWEETS BY MIKENOV from mikenova (1 sites) Coronavirus and animals: From farmed mink to your pet cat, here's what we know - CNN cnn.com/2020/07/17/hea Posted by mikenov on Saturday, July 18th, 2020 5:14pm mikenov on Twitter
» mikenov on Twitter: Animal-rights activists disrupt Chez Panisse service berkeleyside.com/2016/09/11/ani
18/07/20 13:12 from TWEETS BY MIKENOV from mikenova (1 sites) Animal-rights activists disrupt Chez Panisse service berkeleyside.com/2016/09/11/ani Posted by mikenov on Saturday, July 18th, 2020 5:12pm mikenov on Twitter
» mikenov on Twitter: In the Netherlands, a Party for Animals Is Winning Voters - Bloomberg bloomberg.com/news/articles/
18/07/20 13:10 from TWEETS BY MIKENOV from mikenova (1 sites) In the Netherlands, a Party for Animals Is Winning Voters - Bloomberg bloomberg.com/news/articles/ Posted by mikenov on Saturday, July 18th, 2020 5:10pm mikenov on Twitter
» mikenov on Twitter: The Green pro-animal rights political agenda of Covid-19 - Google Search google.com/search?q=The+G
18/07/20 13:07 from TWEETS BY MIKENOV from mikenova (1 sites) The Green pro-animal rights political agenda of Covid-19 - Google Search google.com/search?q=The+G Posted by mikenov on Saturday, July 18th, 2020 5:07pm mikenov on Twitter News Review from Michael Novakhov: Blogs | Shared Stories | Michael Novakhov - SharedNewsLinks |Saved Stories | Tweets | _________________________________________________________________________ Michael Novakhov - SharedNewsLinks - Latest Post | |||||||||||||||||||
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| 600,000 Minks Have Died of Coronavirus in the Netherlands, Possibly Ending the Pelt Industry | |||||||||||||||||||
Coronavirus has been associated with animals such as the bat and pangolin, making it a zoonotic virus. However, in the Netherlands, minks have been affected by SARS-CoV-2 the most. On July 3, Dutch authorities announced the 18th mink farm to be infected with COVID-19, infecting some 4,300 animals.
In total, almost 600,000 of the nation's 800,000 minks have been killed - treated with carbon monoxide gas to stop the virus from being spread. The Netherlands is the world's largest mink fur producer alongside China, Denmark, and Poland. Yet, even China's virologists have not reported such cases in their mink farms. Veterinarian Anne Sofie Hammer at the University of Copenhagen said, 'We have not recorded any similar disease or outbreaks.'
The Health Ministry said, 'the infection was discovered because the mink showed symptoms of the disease and farmers are obliged to report it.' Moreover, there have been two confirmed cases of mink-to-human coronavirus transmission.
Mink Farms
The first mink outbreaks were reported in late April with two farms holding thousands of animals each. This follows the birth-giving season of female minks that caused an increase in their populations by six times during April and May.
Initial infection was carried by a farmworker who tested positive for COVID-19, resulting in the virus spreading like wildfire to the animals. Wim van der Poel from the Wageningen University & Research said that it's no surprise that minks got infected since it is closely related to ferrets, one of the animals that are highly susceptible to the virus.
Organ and swab tests were conducted on the animals in April, with a slight genetic variation of the virus RNA in the minks. There were also viral RNA traced in the inhalable dust, making it possible for workers to become infected as well.
In early June, Van der Pol said that antibodies from mother's milk to pup minks may help protect them for a short while unless the virus continues to linger at the farms. 'That could mean there's a second wave in minks in the fall,' he predicted.
'Finally Coming to an End'
Animal welfare groups have been fighting for years against the inhumane pelt industry. In 2013, a law was passed to ban mink farming by 2024, closing down the country's 120 farms. However, members of parliament voted at the end of June for the mink industry to be closed down before 2021. 'It is a huge breakthrough.
The killing of animals for their fur in the Netherlands is finally coming to an end," said Dutch lawmaker Esther Ouwehand. 'Besides being morally reprehensible, mink farming is now simply untenable because it poses a threat to public health.'
Currently, the farm ministry is helping mink farmers voluntarily leave the industry before it is phased out by the law in a few years. 'We don't think this can become law without getting agreement from the fur farmers,' said Mick Madsen, heading Fur Europe. If the Dutch mink industry completely dies out, the international market will be short of four million pelts.
Read Also: British Supermarket Stops Selling Coconut Products Allegedly Harvested by Thai Monkey Slaves
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| Six distinct 'types' of COVID-19 identified | |||||||||||||||||||
Moreover, the team found that these types differed in the severity of the disease and the need for respiratory support during hospitalisation.
The findings have major implications for clinical management of COVID-19, and could help doctors predict who is most at risk and likely to need hospital care in a second wave of coronavirus infections.
Although continuous cough, fever and loss of smell (anosmia) are usually highlighted as the three key symptoms of COVID-19, data gathered from app users shows that people can experience a wide range of different symptoms including headaches, muscle pains, fatigue, diarrhea, confusion, loss of appetite, shortness of breath and more. The progression and outcomes also vary significantly between people, ranging from mild flu-like symptoms or a simple rash to severe or fatal disease.
To find out whether particular symptoms tend to appear together and how this related to the progression of the disease, the research team used a machine learning algorithm to analyse data from a subset of around 1,600 users in the UK and US with confirmed COVID-19 who had regularly logged their symptoms using the app in March and April.
The analysis revealed six specific groupings of symptoms emerging at characteristic timepoints in the progression of the illness, representing six distinct types of COVID-19. The algorithm was then tested by running it on a second independent dataset of 1,000 users in the UK, US and Sweden, who had logged their symptoms during May.
All people reporting symptoms experienced headache and loss of smell, with varying combinations of additional symptoms at various times. Some of these, such as confusion, abdominal pain and shortness of breath, are not widely known as COVID-19 symptoms, yet are hallmarks of the most severe forms of the disease.
The six clusters are as follows:
Next, the team investigated whether people experiencing particular symptom clusters were more likely to require breathing support in the form of ventilation or additional oxygen.
They discovered that only 1.5% of people with cluster 1, 4.4% of people with cluster 2 and 3.3% of people with cluster 3 COVID-19 required breathing support. These figures were 8.6%, 9.9% and 19.8% for clusters 4,5 and 6 respectively. Furthermore, nearly half of the patients in cluster 6 ended up in hospital, compared with just 16% of those in cluster 1.
Broadly, people with cluster 4,5 or 6 COVID-19 symptoms tended to be older and frailer, and were more likely to be overweight and have pre-existing conditions such as diabetes or lung disease than those with type 1,2 or 3.
The researchers then developed a model combining information about age, sex, BMI and pre-existing conditions together with symptoms gathered over just five days from the onset of the illness.
This was able to predict which cluster a patient falls into and their risk of requiring hospitalisation and breathing support with a higher likelihood of being correct than an existing risk model based purely on age, sex, BMI and pre-existing conditions alone.
Given that most people who require breathing support come to hospital around 13 days after their first symptoms, this extra eight days represents a significant early warning as to who is most likely to need more intensive care.
These findings have important implications for care and monitoring of people who are most vulnerable to severe COVID-19, said Dr Claire Steves from Kings College London. If you can predict who these people are at day five, you have time to give them support and early interventions such as monitoring blood oxygen and sugar levels, and ensuring they are properly hydrated - simple care that could be given at home, preventing hospitalisations and saving lives.
Lead researcher Dr Carole Sudre from Kings College London said: Our study illustrates the importance of monitoring symptoms over time to make our predictions about individual risk and outcomes more sophisticated and accurate. This approach is helping us to understand the unfolding story of this disease in each patient so they can get the best care.
Being able to gather big datasets through the app and apply machine learning to them is having a profound impact on our understanding of the extent and impact of COVID-19, and human health more widely, said Sebastien Ourselin, professor of healthcare engineering at Kings College London and senior author of the study.
Professor Tim Spector added: Data is our most powerful tool in the fight against COVID-19. We urge everyone to get in the habit of using the app daily to log their health over the coming months, helping us to stay ahead of any local hotspots or a second wave of infections.
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| Symptom clusters in Covid19: A potential clinical prediction tool from the COVID Symptom study app | medRxiv | |||||||||||||||||||
Symptom clusters in Covid19: A potential clinical prediction tool from the COVID Symptom study app
View ORCID ProfileCarole H Sudre, Karla Lee, Mary Ni Lochlainn, Thomas Varsavsky, Benjamin Murray, Mark S. Graham, View ORCID ProfileCristina Menni, Marc Modat, Ruth C.E. Bowyer, Long H Nguyen, David Alden Drew, Amit D Joshi, Wenjie Ma, Chuan Guo Guo, Chun Han Lo, Sajaysurya Ganesh, Abubakar Buwe, Joan Capdevila Pujol, Julien Lavigne du Cadet, Alessia Visconti, View ORCID ProfileMaxim Freydin, Julia S. El Sayed Moustafa, Mario Falchi, Richard Davies, Maria F. Gomez, Tove Fall, M. Jorge Cardoso, Jonathan Wolf, Paul W Franks, Andrew T Chan, Timothy D Spector, Claire J Steves, Sebastien Ourselin
doi: <a href="https://doi.org/10.1101/2020.06.12.20129056" rel="nofollow">https://doi.org/10.1101/2020.06.12.20129056</a>
Abstract
As no one symptom can predict disease severity or the need for dedicated medical support in COVID-19, we asked if documenting symptom time series over the first few days informs outcome. Unsupervised time series clustering over symptom presentation was performed on data collected from a training dataset of completed cases enlisted early from the COVID Symptom Study Smartphone application, yielding six distinct symptom presentations. Clustering was validated on an independent replication dataset between May 1- May 28th, 2020. Using the first 5 days of symptom logging, the ROC-AUC of need for respiratory support was 78.8%, substantially outperforming personal characteristics alone (ROC-AUC 69.5%). Such an approach could be used to monitor at-risk patients and predict medical resource requirements days before they are required.
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| Scientists identify six different 'types' of Covid-19 each based on 'cluster of symptoms' | |||||||||||||||||||
Scientists identify six different 'types' of Covid-19 each based on 'cluster of symptoms' which will help monitor those must vulnerable to catching it
Published: | Updated:
Coronavirus comes in six different forms and each has a particular cluster of symptoms, scientists revealed.
Data gathered by Kings College Londons Covid Symptom Study app was used to predict which patients will require hospitalisation based on their early symptoms.
Experts said the findings could have important implications for identifying and treating those who are more vulnerable and will suffer from a severe type of Covid ahead of a possible second wave.
Data gathered by Kings College Londons Covid Symptom Study app has identified six different forms of coronavirus
A continuous cough, fever and loss of smell are the three main symptoms of the virus but others include headaches and diarrhoea.
The researchers studied whether particular symptoms tended to appear together.
They used data gathered from 1,600 Covid patients in the UK and US between March and April.
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The study which is yet to be peer reviewed identified six clusters of symptoms which represent six types of Covid-19.
These clusters become progressively more severe, starting from having flu-like symptoms with no fever to having a fever followed by also suffering from diarrhoea.
There are then three severe clusters the first causes fatigue, the second confusion and the final one causes abdominal and respiratory issues.
A continuous cough, fever and loss of smell are the three main symptoms of the virus but others include headaches and diarrhoea
The team then found that patients were more likely to have these severe types if they were older, overweight and suffer from underlying conditions.
They developed a model to predict which cluster a patient falls into and their risk of hospitalisation based on their age, sex, body mass index and pre-existing conditions.
This prediction tool could provide an early warning on who is likely to need intensive care based on their early symptoms.
Study author Dr Claire Steves, from Kings College London, said if you can predict these vulnerable people earlier, you have time to give them support and early interventions to reduce hospitalisations.
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| Coronavirus strains can be identified by symptoms, study says | |||||||||||||||||||
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Coronavirus swab samples sit in a testing laboratory in Glasgow, Scotland. Jane Barlow/Pool via Getty Images
The coronavirus has six strains and each can be identified by a cluster of symptoms that could help doctors identify patients with severe cases, a new study shows.
Scientists at Kings College in London made the discovery using an app that analyzed the symptoms of 1,600 Brits and Americans who had COVID-19 in March and April, the Daily Mail reported.
The data, which has not been peer-reviewed, showed six clusters of symptoms, each representing a strain of the coronavirus.
The researchers then identified which cluster of symptoms made patients seriously ill enough to hospitalize them, the news outlet said.
The clusters range from mild to life-threatening.
Symptoms of the more mild strains range from flu-like symptoms with no fever to flu-like symptoms with a fever and diarrhea.
The three severe clusters, the Daily Mail reported, each has a symptom that helps doctors pinpoint the strain: fatigue, confusion and, finally, stomach pain and breathing problems.
With their findings, the scientists developed a model that uses age, sex, body mass index and pre-existing health conditions to predict who is at risk of hospitalization, the news outlet reported.
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Patients who are more likely to suffer the severe strains are older, overweight and have pre-existing conditions such as diabetes and heart disease.
The prediction tool would be particularly valuable in the fall, when public health experts expect another wave of COVID-19 to travel the world again, said Dr. Claire Steves, the lead researcher.
Doctors could give a heads-up to patients who might suffer the more severe strains and need to be hospitalized.
If you can predict these vulnerable people earlier, Steves said, you have time to give them support and early interventions to reduce hospitalizations.
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| the origins of Covid-19 and why the next pandemic may already have started | |||||||||||||||||||
Even today as Covid spreads, the World Health Organisation - now armed with a vaccine - is fighting a new Ebola outbreak in the north west of the Democratic Republic of the Congo. In just four weeks, there have been 56 confirmed cases and at least 20 deaths.
Experts suspect the natural reservoir for Ebola is also bats - but they are far from the only animal to carry zoonotic viruses. The Spanish Flu of 1918 is thought to have started in North American poultry.
FROM SPARK TO CONFLAGRATION
Middle East respiratory syndrome (Mers), another coronavirus, comes from camels and has killed 858 people since it was first discovered in Jordan in 2012.
The case numbers reported for these and other zoonotic diseases are almost certainly just the tip of the iceberg. The vast majority of spillover events go unreported, say experts.
Were continually exchanging viruses with animals, that's what happens, says Dr David Redding, from the Centre for Biodiversity and Environment Research at UCL.
These conspiracy theories about labs misunderstand the basics of virology. We know that all species are sharing pathogens all the time. It is through this process that viruses naturally mutate and evolve.
It is HIV that best illustrates the point, a virus now known to date back to the early 1900s. Its simian version (SIV) is thought to have jumped from monkeys to humans through hunters and butchers in Africa. Cities like former Belgian colony Leopoldville, which were rife with prostitution and the ulcerating venereal disease syphilis, are thought to have provided the ideal environmental conditions for the virus to mutate.
Dr Daszak describes HIV, which has killed an estimated 32 million people, as the ultimate example of spillover. After many decades of repeated small scale flare ups (all unnoticed at the time) it exploded as a pandemic in the early 1980s. What had changed was not so much the virus itself - the spark - but the society it landed in. The population boom in Africa, the globalisation of air travel, the sexual revolution in the west - they all played a part.
Changes to human behavior increase the transmission of viruses between people, for example sexual contact or injected drug use, says Dr Daszak. These changes alter the R or reproduction rate of a virus and may assist in driving their emergence.
Sars-Cov-2 may also have been circulating longer than thought. The virus has mutated very little since first being discovered in humans. This may be because it is a stable virus which faces little pressure to adapt. But it may also be because it has already adapted.
The evolution of this virus to become a human pathogen may have already happened and we missed it, Angela Rasmussen, a virologist at Columbia University told Science magazine last week.
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| Fig. 2: Extrapulmonary manifestations of COVID-19. | Nature Medicine | |||||||||||||||||||
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| 8:59 AM 7/18/2020 » Researchers decode symptoms of COVID-19 outside lungs, call it a 'multisystem disease' | |||||||||||||||||||
 WHO epidemiologist Maria van Kerkhove said "there were individuals who infected the minks, people who infected the mink and in turn some of these mink infected some people". Coronavirus: Spain orders culling of almost 100,000 mink - BBC News Spain to cull almost 100,000 mink in Covid scare A minister says the cull in Aragon province was ordered "to avoid the risk of human transmission". <a href="http://bbc.com" rel="nofollow">bbc.com</a> Saved Stories - Disease X-19 - 8:59 AM 7/18/2020 ________________________________________________________________________ -
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| Researchers decode symptoms of COVID-19 outside lungs, call it a 'multisystem disease' | Health Tips and News timesnownews.com/health/article 17/07/20 14:43 from Disease X-19 from Michael_Novakhov (82 sites) | |||||||||||||||||||
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| 1:52 PM 7/17/2020- Thrombosis was a prominent feature in multiple organs... | |||||||||||||||||||
Thrombosis was a prominent feature in multiple organs, in some cases despite full anticoagulation and regardless of timing of the disease course, suggesting that thrombosis plays a role very early in the disease process.
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| Autopsies revealed COVID-19 patients had blood clotting in multiple organs, according to study | |||||||||||||||||||
STATES FACE HOSPITAL CAPACITY
Several states are reporting recent spikes in hospitalizations, which is leaving many doctors concerned about the ability to treat enough patients.
NEW YORK - A recent autopsy study of coronavirus patients revealed that blood clotting was present not only in the lungs but in organs throughout the body.
In a study published on June 25 in the Lancet's eClinicalMedicine, autopsies of seven COVID-19 patients revealed clotting in small blood vessels in multiple organs.
Dr. Amy Rapkiewicz, chair of the department of pathology at NYU Langone Medical Center, said some COVID-19 patients have been known to develop blood clotting issues. Doctors have previously reported blood clots in larger blood vessels of people with the virus, but it also wasnt quite clear that it was directly related to COVID, Rapkiewicz said.
A doctor observes a blood clot expelled by a COVID-19 patient at Hospital General de Mexico on May 30, 2020 in Mexico City, Mexico. (Photo by Hector Vivas/Getty Images)
In Rapkiewiczs study, published June 25 in the Lancet's eClinicalMedicine, autopsies of COVID-19 patients revealed clotting in small blood vessels in multiple organs.
Rapkiewicz said they observed blood clotting in the large veins of coronavirus patients who died quickly after arriving to the hospital, but also clotting in the small veins, the microscopic veins, that you would only see with the microscope.
And that doesnt sound like a big distinction, but physiologically, it takes different things to happen to clot in both the large veins and the small veins. So it seems as if the clotting system in your body is really thrown out of whack in certain populations of COVID patients that develop severe, fatal infections, she said.
An illustration shows the formation of a blood clot within a blood vessel. (Photo by: Amandine Wanert/BSIP/Universal Images Group via Getty Images)
The autopsy study also revealed a higher than usual number of large bone-marrow cells called megakaryocytes in multiple organs, including the lungs and heart. Rapkiewicz said these cells usually dont circulate in the blood, and so I really shouldnt find them in the heart.
We were finding them in larger numbers in the heart, which is very abnormal, she added. We dont know the reason why, but the connection to the clotting is that megakaryocytes produce platelets, and platelets are one of the things that are responsible for clotting.
Rapkiewicz said more research is needed to determine this connection as it relates to the novel coronavirus, but that it doesnt just seem circumstantial.
Some of the patients in the autopsy study had received blood thinners, such as anticoagulant medications like heparin. But the findings suggest clinicians may need to consider additional treatments or anti-platelet therapies for COVID patients that target smaller blood vessels.
I think we still need those drugs because the patients that I autopsied who had received anticoagulation really did have less clotting in the big vessels, but they still had clotting in the small vessels. So we need to target the small vessels, she said.
Scientists around the world have been racing to better understand how SARS-CoV-2, the virus that causes COVID-19, impacts the body. Worrying reports have indicated that the virus may be capable of inflicting long-lasting damage to many areas, including the lungs, nervous system and kidneys.
A recent study led by researchers at University College London described more than 40 patients with COVID-19 who experienced a multitude of different brain effects, including severe neurological complications such as delirium, brain inflammation, stroke and nerve damage.
In another study published in June, more than half of the COVID-19 patients involved were found to have some form of cardiovascular damage.
RELATED: Beyond fever and shortness of breath, experts say COVID-19 symptoms can appear in unusual ways
I think there still needs to be some very basic science studies into the biology of COVID, Rapkiewicz said, who added that the aim of her study and others like it is for researchers to better understand how to prevent these severe complications reported in some patients.
I have a lot of phone calls with people at Johns Hopkins and people in (Massachusetts) General about what could be the underlying thing that's causing the clotting, and thats really important in the sense that its not going to prevent COVID. We're just trying to prevent the complications that cause these people to die.
This story was reported from Cincinnati.
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| [COVID-19 Update] Coronavirus Has Zoonotic Animal Origin, Scientists Explain Why | Science Times | |||||||||||||||||||
[COVID-19 Update] Coronavirus Has Zoonotic Animal Origin, Scientists Explain Why
Erika P.Jul 17, 2020 12:23 AM EDT
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