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Coronavirus is most deadly if you are older and male — Nature analysis

For every 1,000 people infected with the coronavirus who are under the age of 50, almost none will die. For people in their fifties and early sixties, about five will die – more men than women. The risk then climbs steeply as the years accrue. For every 1,000 people in their mid-seventies or older who are infected, around 116 will die. These are the stark statistics obtained by some of the first detailed studies into the mortality risk for COVID-19.

Trends in coronavirus deaths by age have been clear since early in the pandemic. Research teams looking at the presence of antibodies against SARS-CoV-2 in people in the general population – in Spain, England, Italy and Geneva in Switzerland – have now quantified that risk, says Marm Kilpatrick, an infectious-disease researcher at the University of California – Santa Cruz. “It gives us a much sharper tool when asking what the impact might be on a certain population that has a certain demographic,” says Kilpatrick.

The studies reveal that age is by far the strongest predictor of an infected person’s risk of dying – a metric known as the infection fatality ratio (IFR), which is the proportion of people infected with the virus, including those who didn’t get tested or show symptoms, who will die as a result.

“COVID-19 is not just hazardous for elderly people, it is extremely dangerous for people in their mid-fifties, sixties and seventies,” says Andrew Levin, an economist at Dartmouth College in Hanover, New Hampshire, who has estimated that getting COVID-19 is more than 50 times more likely to be fatal for a 60-year-old than is driving a car.

But “age cannot explain everything”, says Henrik Salje, an infectious-disease epidemiologist at the University of Cambridge, UK. Gender is also a strong risk factor, with men almost twice more likely to die from the coronavirus than women. And differences between countries in the fatality estimates for older age groups suggest that the risk of dying from coronavirus is also linked to underlying health conditions, the capacity of health-care systems, and whether the virus has spread among people living in elderly-care facilities.

To estimate the mortality risk by age, researchers used data from antibody-prevalence studies.

In June and July, thousands of people across England received a pinprick antibody test in the post. Of the 109,000 randomly selected teenagers and adults who took the test, some 6% harboured antibodies against SARS-CoV-2.

This result was used to calculate an overall IFR for England of 0.9% – or 9 deaths in every 1,000 cases. The IFR was close to zero for people between the ages of 15 and 44, increasing to 3.1% for 65–74-year-olds and to 11.6% for anyone older.

Another study from Spain that started in April, and tested for antibodies in more than 61,000 residents in randomly selected households, observed a similar trend. The overall IFR for the population was about 0.8%, but it remained close to zero for people under 50, before rising swiftly to 11.6% for men 80 years old and over; it was 4.6% for women in that age group. The results also revealed that men are more likely to die of the infection than are women – the gap increasing with age.

“Men face twice the risk of women,” says Beatriz Pérez-Gómez, an epidemiologist at the Carlos III Institute of Health-Madrid, who was involved in the Spanish study.

Differences in the male and female immune-system response could explain the divergent risks, says Jessica Metcalf, a demographer at Princeton University, New Jersey. “The female immune system might have an edge by detecting pathogens just a bit earlier,” she says.

The immune system might also explain the much higher risk of older people dying from the virus. As the body ages, it develops low levels of inflammation, and COVID-19 could be pushing the already overworked immune system over the edge, says Metcalf. Worse outcomes for people with COVID-19 tend to be associated with a ramped-up immune response, she says.

The study in England also compared results from different ethnic groups. Mortality and morbidity statistics suggest that Black and South Asian people in England are more likely to die or to be hospitalised.

But the analysis, led by Helen Ward, an epidemiologist at Imperial College London, found that although Black and South Asian people were much more likely to have been infected than were white people, they were no more likely to die of COVID-19.

Researchers note that there is a marked difference in IFR estimates between some countries, especially for people aged 65 and older. For instance, an antibody-prevalence study in Geneva estimated an IFR of 5.6% for people aged 65 and older. This figure was lower than were estimates in Spain, which comes to about 7.2% for men and women aged 80 or more, and in England, which found an IFR of 11.6% for people aged 75 or older.

There could be many explanations for the differences, says Andrew Azman, an infectious-disease epidemiologist at Johns Hopkins Bloomberg School of Public Health in Baltimore, Maryland, who was part of the Geneva study.

Countries with higher rates of co-morbidities, such as diabetes, obesity and heart disease, will have a higher IFR. However, nations with health-care systems that are better able to deal with people who are severely ill with COVID-19, or where hospitals were not overwhelmed at the peak of the epidemic, will have better survival rates, he says.

Some of the differences could be attributed to how the different studies were conducted, say researchers. For example, differences in the reliability of antibody tests used in the different studies, how COVID-19 deaths were recorded and how researchers chose to divide populations by age.

There is some uncertainty in the data, so the estimates between studies might not be as different as they might seem, says Lucy Okell, an epidemiologist at Imperial College London, who was involved in the English study.

But a big factor in the different death rates reported between countries seems to be whether the virus spread in nursing homes or elderly-care facilities, says Salje. In these places, people in fragile health live in close-knit environments where the virus can spread rapidly. When the English study took into account care-home deaths, the IFR in people aged 75 or older jumped from 11.6% to 18.7%. Salje estimates that the IFR for Canada, where some 85% of deaths occurred in nursing homes, would be significantly higher than that for Singapore, where nursing homes accounted for only 8% of deaths.

Although fatality estimates are important for understanding the risk of viral spread to people in different age groups, they don’t tell the full story of the toll COVID-19 takes, says Kilpatrick. “There is a fascination with death, but COVID-19 appears to cause a substantial amount of long-term illness,” he adds.

Abstract 1
Background: England, UK has experienced a large outbreak of SARS-CoV-2 infection. As in USA and elsewhere, disadvantaged communities have been disproportionately affected.
Methods: National REal-time Assessment of Community Transmission-2 (REACT-2) seroprevalence study using self-administered lateral flow immunoassay (LFIA) test for IgG among a random population sample of 100,000 adults over 18 years in England, 20 June to 13 July 2020.
Results: Completed questionnaires were available for 109,076 participants, yielding 5,544 IgG positive results and adjusted (for test performance), re-weighted (for sampling) prevalence of 6.0% (95% CI: 5.8, 6.1). Highest prevalence was in London (13.0% [12.3, 13.6]), among people of Black or Asian (mainly South Asian) ethnicity (17.3% [15.8, 19.1] and 11.9% [11.0, 12.8] respectively) and those aged 18-24 years (7.9% [7.3, 8.5]). Care home workers with client-facing roles had adjusted odds ratio of 3.1 (2.5, 3.8) compared with non-essential workers. One third (32.2%, [31.0-33.4]) of antibody positive individuals reported no symptoms. Among symptomatic cases, the majority (78.8%) reported symptoms during the peak of the epidemic in England in March (31.3%) and April (47.5%) 2020. We estimate that 3.36 million (3.21, 3.51) people have been infected with SARS-CoV-2 in England to end June 2020, with an overall infection fatality ratio of 0.90% (0.86, 0.94).
Conclusion: The pandemic of SARS-CoV-2 infection in England disproportionately affected ethnic minority groups and health and care home workers. The higher risk of infection in these groups may explain, at least in part, their increased risk of hospitalisation and mortality from COVID-19.

Authors
Helen Ward, Christina J Atchison, Matthew Whitaker, Kylie EC Ainslie, Joshua Elliott, Lucy C Okell, Rozlyn Redd, Deborah Ashby, Christl A Donnelly, Wendy Barclay, Ara Darzi, Graham Cooke, Steven Riley, Paul Elliott

Abstract 2
The magnitude of the infection fatality risk (IFR) of SARS-CoV-2 remains under debate. Because the IFR is the number of deaths divided by the number of infected, serological studies are needed to identify asymptomatic and mild cases. Also, because ascertainment of deaths attributable to COVID-19 is often incomplete, the calculation of the IFR needs to be complemented with data on excess mortality. We used data from a nation-wide seroepidemiological study and two sources of mortality information -deaths among laboratory-confirmed COVID-19 cases and excess deaths- to estimate the range of IFR, both overall and by age and sex, in Spain. The overall IFR ranged between 1.1% and 1.4% in men and 0.58% to 0.77% in women. The IFR increased sharply after age 50, ranging between 11.6% and 16.4% in men ≥80 years and between 4.6% and 6.5% in women ≥80 years. Our IFR estimates for SARS-CoV-2 are substantially greater than IFR estimators for seasonal influenza, justifying the implementation of special public health measures.

Authors
Roberto Pastor-Barriuso, Beatriz Perez-Gomez, Miguel A Hernan, Mayte Perez-Olmeda, Raquel Yotti, Jesus Oteo, Jose Luis Sanmartin, Inmaculada Leon-Gomez, Aurora Fernandez-Garcia, Pablo Fernandez Navarro, Israel Cruz, Mariano Martin, Concepcion Delgado-Sanz, Nerea Fernandez de Larrea, Jose Leon Paniagua, Juan Fernando Munoz Montalvo, Faustino Blanco, Amparo Larrauri, Marina Pollan, Marina Pollan

Abstract 3
The number of COVID-19 deaths is often used as a key indicator of SARS-CoV-2 epidemic size. 42 However, heterogeneous burdens in nursing homes and variable reporting of deaths in elderly 43 individuals can hamper comparisons of deaths and the number of infections associated with them 44 across countries. Using age-specific death data from 45 countries, we find that relative differences 45 in the number of deaths by age amongst individuals aged <65 years old are highly consistent across 46 locations. Combining these data with data from 15 seroprevalence surveys we demonstrate how 47 age-specific infection fatality ratios (IFRs) can be used to reconstruct infected population 48 proportions. We find notable heterogeneity in overall IFR estimates as suggested by individual 49 serological studies and observe that for most European countries the reported number of deaths 50 amongst ≥65s are significantly greater than expected, consistent with high infection attack rates 51 experienced by nursing home populations in Europe. Age-specific COVID-19 death data in 52 younger individuals can provide a robust indicator of population immunity.

Authors
Megan O'Driscoll, Gabriel Ribeiro Dos Santos, Lin Wang, Derek A.T. Cummings, Andrew S Azman, Juliette Paireau, Arnaud Fontanet, Simon Cauchemez, Henrik Salje

 

[link url="https://www.nature.com/articles/d41586-020-02483-2"]Nature material[/link]

 

[link url="https://www.medrxiv.org/content/10.1101/2020.08.12.20173690v2"]Abstract 1[/link]

 

[link url="https://www.medrxiv.org/content/10.1101/2020.08.06.20169722v1"]Abstract 2[/link]

 

[link url="https://www.medrxiv.org/content/10.1101/2020.08.24.20180851v1"]Abstract 3[/link]

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