Clinical Characteristics of Deceased Patients With COVID-19
Can we Identify Who Will Die From COVID-19?
With this pandemic, we have become numb to the numbers. Every day, the numbers go up and even when the death count goes up, it does not seem to faze us anymore. It's as if it is to be expected. But these numbers are real people. Someone's father or mother or husband or wife. Their death is tragic, but how can we learn from them so that their deaths would not be in vain.
The first place to start is to see if there were any differences between the patients that died and the patients that recovered. From there, we can begin to understand what leads to a bad outcome and what leads to a good outcome. With that knowledge, we can hopefully figure out treatments or strategies that can alter that path.
This paper is the first step where they compared 113 patients who died to 161 patients who recovered in order to figure out what were the differences between these two groups.
For the group that died, they were older (68 years vs 51 years) and were more likely to be males. They were more likely to have hypertension (48% vs 24%) and other cardiovascular comorbidities (14% vs 4%).
For symptoms, they were more likely to have dyspnea (62% vs 31%), chest tightness (49% vs 30%), and disorder of consciousness (22% vs 1%). This last one might reflect the fact that the ACE2 receptor, which is the doorway that the virus uses to get into the lung cells, is also on neurons, and hence, a change in the level of consciousness could indicate that the virus has infected the brain.
On the laboratory side, the group that died was more likely to have leukocytosis (50% vs 4%) and lymphopenia (91% vs 47%). In fact, a whole host of other tests were also increased, which included alanine aminotransferase, aspartate aminotransferase, creatinine, creatine kinase, lactate dehydrogenase, cardiac troponin I, N-terminal pro-brain natriuretic peptide, and D-dimer. All of those tests were higher in patients that died compared with the patients that recovered.
The median time from onset to death was 16 days (interquartile range 12.0-20.0 days). This means that if we had antibodies from the serum of recovered patients, then we could have a window where we could use that type of therapy.
In addition, the following complications were much higher for the group that died compared to the recovered group: acute respiratory distress syndrome (100% vs 52%), type I respiratory failure, which is hypoxia failure (51% vs 0), sepsis (100% vs 41%), acute cardiac injury (77% vs 17%), heart failure (49% vs 3%), shock (41% vs 0), acute kidney injury (25% vs 1%), and hypoxic encephalopathy (20% vs 1%).
These data paint a picture of patients that had both pulmonary and systemic failure. Their lungs failed and then the rest of their body followed. Depressing as that might sound, this paper gave us valuable information that allows us to identify patients that are headed towards a bad outcome. This first step of patient identification will help us treat those patients more aggressively, and perhaps we can put these patients into clinical trials that offer them some of the promising antivirals or immunoglobulin therapies.
So let's look beyond the numbers and figure out how to protect and treat our sickest during this unprecedented pandemic.
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