Evidence map›Paper›PMID 35705635›Full record

ArticleMolecular psychiatry2022

Case-control study of neuropsychiatric symptoms in electronic health records following COVID-19 hospitalization in 2 academic health systems.

Victor M Castro, Jonathan Rosand, Joseph T Giacino, Thomas H McCoy, Roy H Perlis

Abstract read
In one paragraph

Article in Molecular psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 4 pooled it
–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

20 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  11. Systematic Review of the Prevalence of Long COVID.Open forum infectious diseases · 2023
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  14. Correlates of symptomatic remission among individuals with post-COVID-19 condition.medRxiv : the preprint server for health sciences · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Victor M CastroCenter for Quantitative Health, Massachusetts General Hospital and Department of Psychiatry, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0001-7390-6354
Jonathan RosandDepartment of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Joseph T GiacinoDepartment of Psychiatry, Spaulding Rehabilitation Hospital, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Thomas H McCoyCenter for Quantitative Health, Massachusetts General Hospital and Department of Psychiatry, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-5624-0439
Roy H PerlisCenter for Quantitative Health, Massachusetts General Hospital and Department of Psychiatry, Harvard Medical School, Boston, MA, USA. rperlis@mgh.harvard.edu.ORCID http://orcid.org/0000-0002-5862-6757

Funding

Patient-derived Models of Synaptic Pruning in SchizophreniaR01MH120227 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI PERLIS, ROY H. · 2019 to 2023
$3.1M
1/2 Leveraging electronic health records for pharmacogenomics of psychiatric disordersR01MH116270 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI PERLIS, ROY H. · 2019 to 2022
$1.7M
NIMH NIH HHS R01 MH116270NIMH NIH HHS R01 MH120227
6 · The paper itself

Abstract

Neuropsychiatric symptoms may persist following acute COVID-19 illness, but the extent to which these symptoms are specific to COVID-19 has not been established. We utilized electronic health records across 6 hospitals in Massachusetts to characterize cohorts of individuals discharged following admission for COVID-19 between March 2020 and May 2021, and compared them to individuals hospitalized for other indications during this period. Natural language processing was applied to narrative clinical notes to identify neuropsychiatric symptom domains up to 150 days following hospitalization, in addition to those reflected in diagnostic codes as measured in prior studies. Among 6619 individuals hospitalized for COVID-19 drawn from a total of 42,961 hospital discharges, the most commonly-documented symptom domains between 31 and 90 days after initial positive test were fatigue (13.4%), mood and anxiety symptoms (11.2%), and impaired cognition (8.0%). In regression models adjusted for sociodemographic features and hospital course, none of these were significantly more common among COVID-19 patients; indeed, mood and anxiety symptoms were less frequent (adjusted OR 0.72 95% CI 0.64-0.92). Between 91 and 150 days after positivity, most commonly-detected symptoms were fatigue (10.9%), mood and anxiety symptoms (8.2%), and sleep disruption (6.8%), with impaired cognition in 5.8%. Frequency was again similar among non-COVID-19 post-hospital patients, with mood and anxiety symptoms less common (aOR 0.63, 95% CI 0.52-0.75). Propensity-score matched analyses yielded similar results. Overall, neuropsychiatric symptoms were common up to 150 days after initial hospitalization, but occurred at generally similar rates among individuals hospitalized for other indications during the same period. Post-acute sequelae of COVID-19 may benefit from standard if less-specific treatments developed for rehabilitation after hospitalization.

Indexed as

COVID-19Case-Control StudiesElectronic Health RecordsFatigueHospitalizationHumans

Identifiers

PMID35705635
PMCPMC9199464

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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.