Evidence map›Paper›PMID 38076907›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Dissecting Clinical Features of COVID-19 in a Cohort of 21,312 Acute Care Patients.

Cole Maguire, Elie Soloveichik, Netta Blinchevsky, Jaimie Miller, Robert Morrison, Johanna Busch, W Michael Brode, Dennis Wylie, Justin Rousseau, Esther Melamed

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. 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
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, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Cole MaguireDepartment of Neurology, The University of Texas at Austin, Dell Medical School.ORCID 0000-0001-8986-9762
Elie SoloveichikDepartment of Neurology, The University of Texas at Austin, Dell Medical School.
Netta BlinchevskyDepartment of Neurology, The University of Texas at Austin, Dell Medical School.
Jaimie MillerEnterprise Data Intelligence, The University of Texas at Austin, Dell Medical School.
Robert MorrisonDepartment of Internal Medicine, The University of Texas at Austin, Dell Medical School.
Johanna BuschDepartment of Internal Medicine, The University of Texas at Austin, Dell Medical School.
W Michael BrodeDepartment of Internal Medicine, The University of Texas at Austin, Dell Medical School.
Dennis WylieCenter for Biomedical Support, The University of Texas at Austin.
Justin RousseauDepartment of Neurology, University of Texas Southwestern.
Esther MelamedDepartment of Neurology, The University of Texas at Austin, Dell Medical School.
The University of Texas at Austin · USThe University of Texas Southwestern Medical Center · US

Funding

The contribution of GPCRs to thymocyte medullary entry and central toleranceR01AI104870 · NIAID · UNIVERSITY OF TEXAS AT AUSTIN · PI Lauren Ilyse Richie EHRLICH · 2014 to 2026
$7.6M
PRE-DOCTORAL TRAINING IN INTERDISCIPLINARY NEUROSCIENCET32DA018926 · NIDA · UNIVERSITY OF TEXAS AUSTIN · PI Nace L Golding, AMY LEE · 2004 to 2026
$5.6M
Alcohol's Impact on the Gut-Brain Axis in a Mouse Model of Multiple SclerosisK08AA027837 · NIAAA · UNIVERSITY OF TEXAS AT AUSTIN · PI MELAMED, ESTHER · 2020 to 2024
$971k
NIAAA NIH HHS K08 AA027837NIAID NIH HHS R01 AI104870NIDA NIH HHS T32 DA018926
6 · The paper itself

Abstract

COVID-19 has resulted in over 645 million hospitalization and 7 million deaths globally. However, many questions still remain about clinical complications in COVID-19 and if these complications changed with different circulating SARS-CoV-2 strains. We analyzed a 2.5-year retrospective cohort of 47,063 encounters for 21,312 acute care patients at five Central Texas hospitals and define distinct trajectory groups (TGs) with latent class mixed modeling, based on the World Health Organization COVID-19 Ordinal Scale. Using this TG framework, we evaluated the association of demographics, diagnoses, vitals, labs, imaging, consultations, and medications with COVID-19 severity and broad clinical outcomes. Patients within 6 distinct TGs differed in manifestations of multi-organ disease and multiple clinical factors. The proportion of mild patients increased over time, particularly during Omicron waves. Age separated mild and fatal patients, though did not distinguish patients with severe versus critical disease. Male and Hispanic/Latino demographics were associated with more severe/critical TGs. More severe patients had a higher rate of neuropsychiatric diagnoses, consultations, and brain imaging, which did not change significantly in severe patients across SARS-CoV-2 variant waves. More severely affected patients also demonstrated an immunological signature of high neutrophils and immature granulocytes, and low lymphocytes and monocytes. Interestingly, low albumin was one of the best lab predictors of COVID-19 severity in association with higher malnutrition in severe/critical patients, raising concern of nutritional insufficiency influencing COVID-19 outcomes. Despite this, only a small fraction of severe/critical patients had nutritional labs checked (pre-albumin, thiamine, Vitamin D, B vitamins) or received targeted interventions to address nutritional deficiencies such as vitamin replacement. Our findings underscore the significant link between COVID-19 severity, neuropsychiatric complications, and nutritional insufficiency as key risk factors of COVID-19 outcomes and raise the question of the need for more widespread early assessment of patients' neurological, psychiatric, and nutritional status in acute care settings to help identify those at risk of severe disease outcomes.

Identifiers

PMID38076907
PMCPMC10705621
OpenAlexW4389098010

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.