ADVERTISEMENT

It’s Still Hard to Predict Who Will Die From Covid-19

Not everyone at risk from Covid-19 has the same symptoms, prognosis or outcome.

It’s Still Hard to Predict Who Will Die From Covid-19
A postal worker wearing a protective mask deliver mails in the Chinatown neighborhood of New York, U.S (Photographer: Jeenah Moon/Bloomberg)

(Bloomberg Opinion) -- In every epidemic, some die, others become ill and recover, and the luckiest live through infection without symptoms. In today’s pandemic, we are seeing this play out before our eyes. Although the initial epidemiological data show that Covid-19 is more severe in older people, men and those with pre-existing conditions such as heart and lung disease, not everyone with severe disease has these risk factors. And not everyone at risk has the same symptoms, prognosis or outcome.

Why do people manifest such differences? And why is it not possible to predict an individual’s experience? To address this complex question, it is important to first get our terminology right. “Infection” means acquisition of the coronavirus after exposure to it. Infection is not synonymous with exposure — or with disease. Disease is a clinical state associated with cough, fever and other symptoms that ranges from mild to severe. These symptoms arise from damage to tissues and the immune system. Death occurs when there is so much damage that the body cannot maintain blood oxygenation and other necessary functions.

In past epidemics, death and survival were attributed to providence or fortune. Modern medicine and science provide a better understanding of why infection can lead to such different outcomes. Among individuals in the same risk group — the same age, say — differences in infection outcome can result from five different variables outside their control.

The first of these is microbial dosage or inoculum, the number of viral particles that cause infection. Small numbers of viral particles are more likely to be contained effectively by the body’s defenses. Then, infection may cause no symptoms or only mild disease. In contrast, a large number of particles can lead to increased viral growth, overwhelming the immune system and causing more severe disease.

Genetics may also influence susceptibility to severe infection. Viruses often gain access to host cells via surface proteins, which vary in presence and nature from person to person. Someone with no such surface proteins may be resistant to infection. In the case of HIV, for example, some people lack the receptors needed for viral infection and are not susceptible to the virus.

A third variable that influences infection outcome is the route by which a virus enters the body. It’s possible that virus inhaled in the form of aerosolized droplets triggers different immune defenses than does virus acquired by touching contaminated surfaces and then touching one’s face. The nose and the lung differ in local defenses, so the route of infection could significantly affect the outcome.

The fourth variable is the strength of the coronavirus itself. Viruses differ in virulence — their capacity to damage host tissues or immunity — even when they are all the same species. This is why flu seasons vary in severity from year to year. The varieties of a virus such as coronavirus differ depending on small genetic characteristics and how these affect the interaction with human hosts. As the coronavirus spreads from person to person, it may undergo unique changes in its genetic structure that enhance or attenuate its capacity to do harm. Strains that are more virulent could lead to more severe disease.

Finally, people’s immune status — especially their history of prior infectious diseases — crucially determines how they respond to a new infection. The immune system remembers previous encounters with microbes, and that affects how it fights and responds to new ones. In the case of dengue, infection with one type of the virus can make the individual more susceptible to infection with a different type of the same virus. In other situations, a recent infection with a virus can affect susceptibility to an unrelated new infection. For example, having had the flu before coronavirus infection could change the course of Covid-19 disease in unpredictable ways. When a person’s immune system has no memory of an infectious agent, it may be unable to rapidly respond, and this may allow the invader to escape detection, giving it more time to cause damage.

Taken together, these variables create a complex picture. The amount of virus, our genes, the route of infection, the variety of the virus and our immunological history combine to produce outcomes ranging from asymptomatic infection to death. And because these parameters can vary so much from infected person to infected person, it’s impossible to predict who will live and who will die. Therefore, despite accumulating evidence that most who acquire the coronavirus will not develop severe disease, the uncertainty of who is at grave risk enhances the pandemic’s terror.

In this regard, today’s situation is similar to past pandemics in which the matter of who would live and who would die was also mysterious — and led people to attribute outcomes to fortune or supernatural intervention. However, Covid-19 is different than the 1918 flu, in that today a robust scientific establishment can quickly analyze what’s happening and help figure out how best to prevent and treat infections. Science is humanity’s lifeline. In the days ahead, physicians, scientists, epidemiologists and many more will work hard to understand individual susceptibility to coronavirus. The Covid-19 pandemic will teach us a great deal of new science that will make us better prepared for the next outbreak.

This column does not necessarily reflect the opinion of Bloomberg LP and its owners.

Arturo Casadevall is a Bloomberg Distinguished Professor of molecular microbiology and immunology and infectious diseases at the Bloomberg School of Public Health and the School of Medicine at Johns Hopkins University.

Liise-anne Pirofski is a professor of medicine and chief of infectious diseases at Albert Einstein College of Medicine and Montefiore Medical Center.

©2020 Bloomberg L.P.