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High-dimensional characterization of post-acute sequelae of COVID-19

Overview of attention for article published in Nature, April 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#24 of 93,401)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Citations

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741 Dimensions

Readers on

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867 Mendeley
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Title
High-dimensional characterization of post-acute sequelae of COVID-19
Published in
Nature, April 2021
DOI 10.1038/s41586-021-03553-9
Pubmed ID
Authors

Ziyad Al-Aly, Yan Xie, Benjamin Bowe

Abstract

The acute clinical manifestations of COVID-19 are well characterized1,2; however, its post-acute sequalae have not been comprehensively described. Here, we use the national healthcare databases of the US Department of Veterans Affairs to systematically and comprehensively identify 6-month incident sequalae including diagnoses, medication use, and laboratory abnormalities in 30-day survivors of COVID-19. We show that beyond the first 30 days of illness, people with COVID-19 exhibit higher risk of death and health resource utilization. Our high dimensional approach identifies incident sequalae in the respiratory system and several others including nervous system and neurocognitive disorders, mental health disorders, metabolic disorders, cardiovascular disorders, gastrointestinal disorders, malaise, fatigue, musculoskeletal pain, and anemia. We show increased incident use of several therapeutics including pain medications (opioids and non-opioids), antidepressants, anxiolytics, antihypertensives, and oral hypoglycemics and evidence of laboratory abnormalities in multiple organ systems. Analysis of an array of pre-specified outcomes reveals a risk gradient that increased across severity of the acute COVID-19 infection (non-hospitalized, hospitalized, admitted to intensive care). The findings show that beyond the acute illness, substantial burden of health loss - spanning pulmonary and several extrapulmonary organ systems - is experienced by COVID-19 survivors. The results provide a roadmap to inform health system planning and development of multidisciplinary care strategies to reduce chronic health loss among COVID-19 survivors.

Twitter Demographics

The data shown below were collected from the profiles of 9,568 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 867 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 867 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 117 13%
Student > Bachelor 71 8%
Student > Ph. D. Student 66 8%
Other 61 7%
Student > Master 59 7%
Other 168 19%
Unknown 325 37%
Readers by discipline Count As %
Medicine and Dentistry 197 23%
Biochemistry, Genetics and Molecular Biology 52 6%
Nursing and Health Professions 45 5%
Agricultural and Biological Sciences 30 3%
Immunology and Microbiology 24 3%
Other 162 19%
Unknown 357 41%

Attention Score in Context

This research output has an Altmetric Attention Score of 7767. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 June 2023.
All research outputs
#324
of 23,979,422 outputs
Outputs from Nature
#24
of 93,401 outputs
Outputs of similar age
#29
of 437,264 outputs
Outputs of similar age from Nature
#7
of 896 outputs
Altmetric has tracked 23,979,422 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 93,401 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 101.2. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 437,264 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 896 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.