How doctors can predict which patients are more likely to die of COVID Several studies have come out about the COVID prognosis.
As a result, we now have a powerful way to predict which patients with COVID pneumonia are more likely to die and require longer stays in the hospital. We already know that less than 15% of people who get COVID have a severe disease to the point of requiring hospitalization. Less than 5% of people who get coronavirus require ICU.
For those with COVID pneumonia who require ICU, and for some of the other patients in the hospital who might not necessarily need ICU, these are the patients who have the cytokine storm that we keep hearing about, meaning the immune system is going haywire.
There is a ton of inflammation taking place in the body….especially the lungs. But now, we have a more specific way of predicting who is more likely to develop cytokine storm, and therefore more likely to die, and who is more likely to require a longer stay in the hospital….and it’s based on the bloodwork we get when patients are hospitalized.
When we get bloodwork, we’re doing various lab tests. It is most commonly a complete blood count, CBC, and a complete metabolic panel or CMP. We often check other things like troponin, d-dimer, LDH, ferritin, and CRP. A complete blood count is specifically looking at 3 things: hemoglobin levels, platelets, and white blood cells. We can use the total number and the breakdown of the percentages of the types of white blood cells, meaning what percentage are neutrophils, monocytes, lymphocytes, eosinophils, and basophils. Lymphocytes generally make up about 15-45% of WBC. This is very important as it pertains to COVID, and you’ll see why in a little bit.
The CMP stands for the complete metabolic pan looking at sodium, potassium, chloride, bicarbonate, blood urea nitrogen, creatinine, glucose calcium, bilirubin, albumin, and liver enzymes like AST ALT alkaline phosphatase. Some of these also have important implications when it comes to COVID disease severity. Because In the recent study done at Temple University, they analyzed over 500 hospitalized COVID patients, all of which had inflammation in their lungs seen on a CT scan of the chest (show). They determined the criteria for COVID cytokine storm. For patients who met these criteria, their length of stay in the hospital was 15 days, compared to 6 days if they did not meet the criteria.
Mortality was 28.8% in the group that met the criteria, vs. 6.6% in those who did not. So if they met cytokine storm criteria, their likelihood of dying was 4 times higher. And how accurate was this prediction model? Pretty accurate, as this study had a specificity of 79% and a sensitivity of 85%, which is a lot of predictive power. Most of the patients who met the criteria for CS did so at the time of admission or shortly after. This suggests that there is an early and rapid progression in these patients and that there is a low likelihood of developing cytokine storms after 10 days of hospitalization.
So based on these specific lab parameters, this is how doctors can predict which patients are more likely to die of COVID. I find that this study correlates with what I’ve seen in my personal experience with hospitalized covid patients. And yes, the man whose CT scan I showed you earlier in this video met all of these criteria for cytokine storm, and he did so as soon as 24 hours of being admitted to the hospital.
Doctor Mike Hansen, MD Internal Medicine | Pulmonary Disease | Critical Care Medicine
Within a day of testing positive for covid-19 in June, Miranda Kelly was sick enough to be scared. At 44, with diabetes and high blood pressure, Kelly, a certified nursing assistant, was having trouble [...]
A technology developed at Vanderbilt University Medical Center has led to the discovery of an "ultra-potent" monoclonal antibody against multiple variants of SARS-CoV-2, the virus responsible for COVID-19, including the delta variant. The antibody [...]
Research has found a significant fall in levels of antibodies against SARS-CoV-2, the virus that causes COVID-19, 6 months after the second dose of the Pfizer-BioNTech vaccine. Clinical evidence also suggests that the risk [...]
Are the COVID vaccines substantially different from/inferior to other vaccines in terms of their effectiveness? The issue raised, and I'm mostly paraphrasing here, is this: Most vaccines (e.g. measles, smallpox) have efficacy defined such [...]
The EVONANO platform allows scientists to grow virtual tumors and use artificial intelligence to automatically optimize the design of nanoparticles to treat them. The ability to grow and treat virtual tumors is an [...]
Modern Approaches to Augmentation of Brain Function Available from Springer Press This book covers recent advances in neural technology that provide for enhancements for brain function. It addresses a broad range of neural phenomena [...]
Although the currently available COVID-19 vaccines are highly effective, limited manufacturing capacity and the need for cold-chain storage hinder their global distribution. A recent study tested the efficacy of a new adeno-associated virus (AAV) [...]
Fully vaccinated people were 11 times less likely to die of COVID and 10 times less likely to be hospitalized compared to the unvaccinated since highly contagious Delta became the most common variant, US [...]
The highly-infectious Delta coronavirus variant has spread to at least 174 countries worldwide, from the US to Australia, causing a surge in COVID-19 cases. The variant has mutations that help it partially escape the immune response produced by [...]
Fragile mRNA molecules used in COVID-19 vaccines can’t get into cells on their own. They owe their success to lipid nanoparticles that took decades to refine. Messenger RNA (mRNA) is having a moment. This [...]
The COVID-19 pandemic has revealed critical knowledge gaps and assumptions concerning how respiratory viruses spread between hosts. Traditionally thought to be spread mainly through large respiratory droplets produced by the coughs and sneezes of sick individuals, [...]
SARS-CoV-2 is just one of nonillions of viruses on our planet, and scientists are rapidly identifying legions of new species. Mya Breitbart has hunted novel viruses in African termite mounds, Antarctic seals and water [...]
As a team of South African researchers we have identified a new lineage of SARS-CoV-2, the virus causing COVID-19. A lineage represents a genetically distinct virus population with a common ancestor. This virus may be designated as a variant [...]