Evidence map›Paper›PMID 35899280›Full record

ArticleOpen forum infectious diseases2022

Risk Factors for Admission Within a Hospital-Based COVID-19 Home Monitoring Program.

Heather Sperring, Melissa Hofman, Heather E Hsu, Yian Xiao, Elizabeth A Keohane, Sara Lodi, Jai Marathe, Rachel L Epstein

Open access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 91% of its field
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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Heather SperringCenter for Infectious Diseases, Boston Medical Center, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-1347-5748
Melissa HofmanBoston Medical Center Clinical Data Warehouse, Boston, Massachusetts, USA.
Heather E HsuDepartment of Pediatrics, Boston University School of Medicine, Boston, Massachusetts, USA.
Yian XiaoDepartment of Medicine, Section of General Internal Medicine, Boston University School of Medicine, Boston, Massachusetts, USA.
Elizabeth A KeohaneBoston Medical Center, Boston, Massachusetts, USA.
Sara LodiDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA.
Jai MaratheDepartment of Medicine, Section of Infectious Diseases, Boston University School of Medicine, Boston, Massachusetts, USA.
Rachel L EpsteinDepartment of Medicine, Section of Infectious Diseases, Boston University School of Medicine, Boston, Massachusetts, USA.
Boston University · USBoston Medical Center · US

Funding

Project-005UL1TR001430 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BAIR-MERRITT, MEGAN H, CENTER, DAVID M. · 2015 to 2024
$52.3M
Improving value-based healthcare delivery for opioid use disorderK01DA054328 · NIDA · BOSTON MEDICAL CENTER · PI HSU, HEATHER · 2021 to 2025
$897k
NCATS NIH HHS UL1 TR001430NIDA NIH HHS K01 DA054328
6 · The paper itself

Abstract

Background: Despite increasing vaccination rates, coronavirus disease 2019 (COVID-19) continues to overwhelm heath systems worldwide. Few studies follow outpatients diagnosed with COVID-19 to understand risks for subsequent admissions. We sought to identify hospital admission risk factors in individuals with COVID-19 to guide outpatient follow-up and prioritization for novel therapeutics. Methods: We prospectively designed data collection templates and remotely monitored patients after a COVID-19 diagnosis, then retrospectively analyzed data to identify risk factors for 30-day admission for those initially managed outpatient and for 30-day re-admissions for those monitored after an initial COVID-19 admission. We included all patients followed by our COVID-19 follow-up monitoring program from April 2020 to February 2021. Results: Among 4070 individuals followed by the program, older age (adjusted odds ratio [aOR], 1.05; 95% CI, 1.03-1.06), multiple comorbidities (1-2: aOR, 5.88; 95% CI, 2.07-16.72; ≥3: aOR, 20.40; 95% CI, 7.23-57.54), presence of fever (aOR, 2.70; 95% CI, 1.65-4.42), respiratory symptoms (aOR, 2.46; 95% CI, 1.53-3.94), and gastrointestinal symptoms (aOR, 2.19; 95% CI, 1.53-3.94) at initial contact were associated with increased risk of COVID-19-related 30-day admission among those initially managed outpatient. Loss of taste/smell was associated with decreased admission risk (aOR, 0.46; 95% CI, 0.25-0.85). For postdischarge patients, older age was also associated with increased re-admission risk (aOR, 1.04; 95% CI, 1.01-1.06). Conclusions: This study reveals that in addition to older age and specific comorbidities, the number of high-risk conditions, fever, respiratory symptoms, and gastrointestinal symptoms at diagnosis all increased odds of COVID-19-related admission. These data could enhance patient prioritization for early treatment interventions and ongoing surveillance.

Indexed as

COVID-19hospitalizationSARS-CoV-2

Identifiers

PMID35899280
PMCPMC9278211
OpenAlexW4283714978

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.