Evidence map›Paper›PMID 38843159›Full record

ArticlePloS one2024

Excess burden of respiratory and abdominal conditions following COVID-19 infections during the ancestral and Delta variant periods in the United States: An EHR-based cohort study from the RECOVER program.

Jay K Varma, Chengxi Zang, Thomas W Carton, Jason P Block, Dhruv J Khullar, Yongkang Zhang, Mark G Weiner, Russell L Rothman, Edward J Schenck, Zhenxing Xu and 10 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Jay K VarmaDepartment of Population Health Sciences, Weill Cornell Medicine, New York, New York, United States of America.ORCID 0000-0003-4764-0294
Chengxi ZangDepartment of Population Health Sciences, Weill Cornell Medicine, New York, New York, United States of America.
Thomas W CartonLouisiana Public Health Institute, New Orleans, Louisiana, United States of America.
Jason P BlockDepartment of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, Massachusetts, United States of America.
Dhruv J KhullarDepartment of Population Health Sciences, Weill Cornell Medicine, New York, New York, United States of America.
Yongkang ZhangDepartment of Population Health Sciences, Weill Cornell Medicine, New York, New York, United States of America.
Mark G WeinerDepartment of Population Health Sciences, Weill Cornell Medicine, New York, New York, United States of America.
Russell L RothmanInstitute for Medicine and Public Health, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.ORCID 0000-0002-1506-3990
Edward J SchenckDepartment of Medicine, Weill Cornell Medicine, New York, New York, United States of America.
Zhenxing XuDepartment of Population Health Sciences, Weill Cornell Medicine, New York, New York, United States of America.
Kristin LymanDepartment of Population Health Sciences, Weill Cornell Medicine, New York, New York, United States of America.
Jiang BianHealth Outcomes and Biomedical Informatics, University of Florida Health, Gainesville, Florida, United States of America.
Jie XuHealth Outcomes and Biomedical Informatics, University of Florida Health, Gainesville, Florida, United States of America.
Elizabeth A ShenkmanHealth Outcomes and Biomedical Informatics, University of Florida Health, Gainesville, Florida, United States of America.
Christine MaughanUtah COVID-19 Long Haulers, Salt Lake City, Utah, United States of America.
Leah Castro-BaucomPatient Representative, Dallas, Georgia, United States of America.ORCID 0000-0002-7160-8764
Lisa O'BrienUtah COVID-19 Long Haulers, Salt Lake City, Utah, United States of America.
Fei WangDepartment of Population Health Sciences, Weill Cornell Medicine, New York, New York, United States of America.
Rainu KaushalDepartment of Population Health Sciences, Weill Cornell Medicine, New York, New York, United States of America.
RECOVER Consortium

Funding

OTA-21-015A Post-Acute Sequelae of SARS-CoV-2 Infection Initiative: NYU Langone Health Clinical Science Core, Data Resource Core, and PASC Biorepository CoreOT2HL161847 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI GROSS, RACHEL SHARON, HORWITZ, LEORA · 2021 to 2025
$651.0M
Necroinflammatory Cell Death in SepsisK23HL151876 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI SCHENCK, EDWARD JAMES · 2021 to 2025
$975k
NHLBI NIH HHS K23 HL151876NHLBI NIH HHS OT2 HL161847
6 · The paper itself

Abstract

importanceThe frequency and characteristics of post-acute sequelae of SARS-CoV-2 infection (PASC) may vary by SARS-CoV-2 variant.

objectiveTo characterize PASC-related conditions among individuals likely infected by the ancestral strain in 2020 and individuals likely infected by the Delta variant in 2021.

designRetrospective cohort study of electronic medical record data for approximately 27 million patients from March 1, 2020-November 30, 2021.

settingHealthcare facilities in New York and Florida.

participantsPatients who were at least 20 years old and had diagnosis codes that included at least one SARS-CoV-2 viral test during the study period. EXPOSURE: Laboratory-confirmed COVID-19 infection, classified by the most common variant prevalent in those regions at the time. MAIN OUTCOME(S) AND MEASURE(S): Relative risk (estimated by adjusted hazard ratio [aHR]) and absolute risk difference (estimated by adjusted excess burden) of new conditions, defined as new documentation of symptoms or diagnoses, in persons between 31-180 days after a positive COVID-19 test compared to persons without a COVID-19 test or diagnosis during the 31-180 days after the last negative test.

resultsWe analyzed data from 560,752 patients. The median age was 57 years; 60.3% were female, 20.0% non-Hispanic Black, and 19.6% Hispanic. During the study period, 57,616 patients had a positive SARS-CoV-2 test; 503,136 did not. For infections during the ancestral strain period, pulmonary fibrosis, edema (excess fluid), and inflammation had the largest aHR, comparing those with a positive test to those without a COVID-19 test or diagnosis (aHR 2.32 [95% CI 2.09 2.57]), and dyspnea (shortness of breath) carried the largest excess burden (47.6 more cases per 1,000 persons). For infections during the Delta period, pulmonary embolism had the largest aHR comparing those with a positive test to a negative test (aHR 2.18 [95% CI 1.57, 3.01]), and abdominal pain carried the largest excess burden (85.3 more cases per 1,000 persons). CONCLUSIONS AND RELEVANCE: We documented a substantial relative risk of pulmonary embolism and a large absolute risk difference of abdomen-related symptoms after SARS-CoV-2 infection during the Delta variant period. As new SARS-CoV-2 variants emerge, researchers and clinicians should monitor patients for changing symptoms and conditions that develop after infection.

Indexed as

COVID-19Electronic Health RecordsSARS-CoV-2AdultAgedCohort StudiesFemaleFloridaHumansMaleMiddle AgedPost-Acute COVID-19 SyndromeRetrospective StudiesUnited States

Identifiers

PMID38843159
PMCPMC11156291

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.