Boston
Study Highlights Need for Continued Care of COVID-19 Survivors
Posted on by Dr. Francis Collins
The past several months have shown that most people hospitalized with COVID-19 will get better. As inspiring as it is to see these patients breathe on their own and converse with their loved ones again, we are learning that many will leave the hospital still quite ill and in need of further care. But little has been published to offer a detailed demographic picture of those being discharged from our nation’s hospitals and the types of community-based care and monitoring that will be needed to keep them on the road to recovery.
A recent study in the journal EClinicalMedicine helps to fill in those gaps by chronicling the early COVID-19 experience of three prominent hospitals in the Boston area: Massachusetts General Hospital, Brigham and Women’s Hospital, and Newton-Wellesley Hospital. These data were reported from a patient registry of 247 middle-aged and older COVID-19 patients. The patients were admitted over three weeks last March into one of these hospitals, which are part of New England’s largest integrated health network.
The data confirm numerous previous reports that COVID-19 disproportionately affects people of color. The researchers, led by Jason H. Wasfy and Cian P. McCarthy, Massachusetts General Hospital and Harvard Medical School, Boston, found a large number of their patients were Hispanic (30 percent) or Black (10 percent). Wasfy said these numbers could be driven by many factors, including a low income, more family members living in one home, greater difficulty accessing healthcare, presence of chronic illness (health disparities), and serving as essential workers during the pandemic.
The researchers also tracked the patients after discharge for about 80 days. About a third of patients left the hospital for a post-acute care facility to continue their rehabilitation. After discharge, many required supplemental oxygen (15 percent), tube feeding (9 percent), or treatment with medications including antipsychotics and prescription painkillers (16 percent). About 10 percent were readmitted to the hospital within weeks or months of their initial discharge.
Wasfy and colleagues also found:
· Many patients undergoing treatment were enrolled in Medicaid (20 percent) or both Medicaid and Medicare (12 percent).
· A substantial number also were retired (36 percent) or unemployed (8.5 percent), highlighting the role of non-occupational spread. Many others worked in the hospitality industry, healthcare, or public transportation.
· A large proportion (42 percent) of hospitalized patients required intensive care. The good news is that most of them (86 percent) ultimately recovered enough to be discharged from the hospital. Tragically, 14 percent—34 of 247 people—died in the hospital.
These findings represent hospitals in just one notable American city hard hit early in the pandemic. But they spotlight the importance of public health efforts to prevent COVID-19 among the most vulnerable and reduce its most devastating social impacts. These are critical points, and NIH has recently begun supporting community engagement research efforts in areas hardest hit by COVID-19. With this support and access to needed post-discharge care, we aim to help more COVID survivors stay on the road to a full recovery.
Reference:
[1] Early clinical and sociodemographic experience with patients hospitalized with COVID-19 at a large American healthcare system. McCarthy CP et al. EClinicalMedicine. August 19, 2020.
Links:
Coronavirus (COVID-19) (NIH)
Massachusetts General Hospital (Boston)
Brigham and Women’s Hospital (Boston)
Newton-Wellesley Hospital (Newton, MA)
Jason Wasfy (Massachusetts General Hospital)
Genome Data Help to Track COVID-19 Superspreading Event
Posted on by Dr. Francis Collins
Credit: iStock/Chaay_Tee
When it comes to COVID-19, anyone, even without symptoms, can be a “superspreader” capable of unknowingly infecting a large number of people and causing a community outbreak. That’s why it is so important right now to wear masks when out in public and avoid large gatherings, especially those held indoors, where a superspreader can readily infect others with SARS-CoV-2, the virus responsible for COVID-19.
Driving home this point is a new NIH-funded study on the effects of just one superspreader event in the Boston area: an international biotech conference held in February, before the public health risks of COVID-19 had been fully realized [1]. Almost a hundred people were infected. But it didn’t end there.
In the study, the researchers sequenced close to 800 viral genomes, including cases from across the first wave of the epidemic in the Boston area. Using the fact that the viral genome changes in very subtle ways over time, they found that SARS-CoV-2 was actually introduced independently to the region more than 80 times, primarily from Europe and other parts of the United States. But the data also suggest that a single superspreading event at the biotech conference led to the infection of almost 20,000 people in the area, not to mention additional COVID-19 cases in other states and around the world.
The findings, posted on medRxiv as a pre-print, come from Bronwyn MacInnis and Pardis Sabeti at the Broad Institute of MIT and Harvard in Cambridge, MA, and their many close colleagues at Massachusetts General Hospital, the Massachusetts Department of Public Health, and the Boston Health Care for the Homeless Program. The initial focus of MacInnis, Sabeti, and their Broad colleagues has been on developing genome data and tools for surveillance of viruses and other infectious diseases in and viral outbreaks in West Africa, including Lassa fever and Ebola virus disease.
Closer to home, they’d expected to focus their attention on West Nile virus and tick-borne diseases. But, when the COVID-19 outbreak erupted, they were ready to pivot quickly to assist several Centers for Disease Control and Prevention (CDC) and state labs in the northeastern United States to use genomic tools to investigate local outbreaks.
It’s been clear from the beginning of the pandemic that COVID-19 cases often arise in clusters, linked to gatherings in places such as cruise ships, nursing homes, and homeless shelters. But the Broad Institute team and their colleagues realized, it’s difficult to see how extensively a virus spreads from such places into the wider community based on case counts alone.
Contact tracing certainly helps to track community spread of the virus. This surveillance strategy depends on quick, efficient identification of an infected individual. It follows up with the identification of all who’ve recently been in close contact with that person, allowing the contacts to self-quarantine and break the chain of transmission.
But contact tracing has its limitations. It’s not always possible to identify all the people that an infected person has been in recent contact with. Genome data, however, is particularly useful after the fact for connecting those dots to get a big picture view of viral transmission.
Here’s how it works: as SARS-CoV-2 spreads, the virus sometimes picks up a new mutation. Those tiny spelling changes in the viral genome usually have no effect on how the virus causes disease, but they do serve as distinct genomic fingerprints. Using those fingerprints to guide the way, researchers can trace the path the virus took through a community and beyond, identifying connections among cases that would be untrackable otherwise.
With this in mind, MacInnis and Sabeti’s team set out to help Boston’s public health officials understand just how the epidemic escalated so quickly in the Boston area, and just how much the February conference had contributed to community transmission of the virus. They also investigated other case clusters in the area, including within a skilled nursing facility, homeless shelters, and at Massachusetts General Hospital itself, to understand the spread of COVID-19 in these settings.
Based on contact tracing, officials had already connected approximately 90 cases of COVID-19 to the biotech conference, 28 of which were included in the original 772 viral genomes in this dataset. Based on the distinct genomic fingerprint carried by the 28 genomes, the researchers went on to discover that more than one-third of Boston area cases without any known link to the conference could indeed be traced back to the event.
When the researchers considered this proportion to the number of cases recorded in the region during the study, they extrapolated that the superspreader event led to nearly 20,000 cases in the Boston area. In contrast, the genome data show cases linked to another superspreader event that took place within a skilled nursing facility, while devastating to the residents, had much less of an impact on the surrounding community.
The analysis also uncovered some unexpected connections. The dataset showed that SARS-CoV-2 was brought to clients and staff at the Boston Health Care for the Homeless Program at least seven times. Remarkably, two of those introductions also traced back to the biotech conference. Researchers also found infections in Chelsea, Revere, and Everett, which were some of the hardest hit communities in the Boston area, that were connected to the original superspreading event.
There was some reassuring news about how precautions in hospitals are working. The researchers examined cases that were diagnosed among patients at Massachusetts General Hospital, raising concerns that the virus might have spread from one patient to another within the hospital. But the genome data show that those cases, in fact, weren’t part of the same transmission chain. They may have contracted the virus before they were hospitalized. Or it’s possible that staff may have inadvertently brought the virus into the hospital. But there was no patient-to-patient transmission.
Massachusetts is one of the states in which the COVID-19 pandemic had a particularly severe early impact. As such, these results present broadly applicable lessons for other states and urban areas about how the virus spreads. The findings highlight the value of genomic surveillance, along with standard contact tracing, for better understanding of viral transmission in our communities and improved prevention of future outbreaks.
Reference:
[1] Phylogenetic analysis of SARS-CoV-2 in the Boston area highlights the role of recurrent importation and superspreading events. Lemieux J. et al. medRxiv. August 25, 2020.
Links:
Coronavirus (COVID-19) (NIH)
Bronwyn MacInnis (Broad Institute of Harvard and MIT, Cambridge, MA)
Sabeti Lab (Broad Institute of Harvard and MIT)
NIH Support: National Institute of Allergy and Infectious Diseases; National Human Genome Research Institute; National Institute of General Medical Sciences
