Evidence map›Paper›PMID 37069343›Full record

ArticleMolecular psychiatry2023

The impact of preexisting psychiatric disorders and antidepressant use on COVID-19 related outcomes: a multicenter study.

Katharina Schultebraucks, Wivine Blekic, Cale Basaraba, Tom Corbeil, Zain Khan, Brandy F Henry, Noa Krawczyk, Bianca D Rivera, Bennett Allen, Caroline Arout and 3 more

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Molecular psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Bipolar Disorder.Current opinion in neurobiology · 2023
    Review
  10. Article
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

13 authors at 4 institutions in 1 country.

Katharina SchultebraucksDepartment of Psychiatry, NYU Grossman School of Medicine, New York, NY, USA. Katharina.Schultebraucks@nyulangone.org.ORCID 0000-0001-5085-8249
Wivine BlekicDepartment of Psychiatry, NYU Grossman School of Medicine, New York, NY, USA.
Cale BasarabaArea Mental Health Data Science, New York State Psychiatric Institute, New York, NY, USA.
Tom CorbeilArea Mental Health Data Science, New York State Psychiatric Institute, New York, NY, USA.
Zain KhanDepartment of Biomedical Engineering, Columbia University, New York, NY, USA.
Brandy F HenryRehabilitation and Human Services, Educational Psychology, Counseling, and Special Education, College of Education Consortium on Substance Use and Addiction, Social Science Research Institute, Pennsylvania State University, State College, PA, USA.
Noa KrawczykCenter for Opioid Epidemiology and Policy, Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Bianca D RiveraCenter for Opioid Epidemiology and Policy, Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Bennett AllenCenter for Opioid Epidemiology and Policy, Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Caroline AroutDepartment of Psychiatry, Columbia University Irving Medical Center and New York State Psychiatric Institute, New York, NY, USA.
Harold Alan PincusDepartment of Psychiatry, Columbia University Irving Medical Center and New York State Psychiatric Institute, New York, NY, USA.
Diana M MartinezDepartment of Psychiatry, Columbia University Irving Medical Center and New York State Psychiatric Institute, New York, NY, USA.
Frances R LevinDepartment of Psychiatry, Columbia University Irving Medical Center and New York State Psychiatric Institute, New York, NY, USA.
Columbia University · USNew York University · USNew York State Office of Mental Health · USPennsylvania State University · US

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
BEHAVIORAL SCI TRAINING IN DRUG ABUSE RESEARCHT32DA007233 · NIDA · PUBLIC HEALTH SOLUTIONS · PI GOLDSAMT, LLOYD A · 1985 to 2023
$20.2M
Training Program on HIV and Substance Use in the Criminal Justice SystemT32DA037801 · NIDA · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Nabila El-Bassel, Lisa R Metsch · 2014 to 2026
$5.7M
Point-of-care prognostic modeling of PTSD risk after traumatic event exposure using digital biomarkers and clinical data from electronic health records in the emergency department setting (PREDICT)R01MH129856 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Katharina Schultebraucks · 2022 to 2026
$4.1M
Early Signs:digital phenotyping to identify digital biomarkers for predicting burnout and cognitive functioning in ED clinicians (Early Signs)R01HL156134 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SCHULTEBRAUCKS, KATHARINA · 2021 to 2025
$3.6M
From the Scanner to the Clinic: Patient Oriented Research and MentorshipK24DA050087 · NIDA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI Diana M Martinez · 2020 to 2026
$603k
NCATS NIH HHS UL1 TR001873NHLBI NIH HHS R01 HL156134NIDA NIH HHS K24 DA050087NIDA NIH HHS T32 DA007233NIDA NIH HHS T32 DA037801NIMH NIH HHS R01 MH129856
6 · The paper itself

Abstract

Pre-existing mental disorders are linked to COVID-19-related outcomes. However, the findings are inconsistent and a thorough analysis of a broader spectrum of outcomes such as COVID-19 infection severity, morbidity, and mortality is required. We investigated whether the presence of psychiatric diagnoses and/or the use of antidepressants influenced the severity of the outcome of COVID-19. This retrospective cohort study evaluated electronic health records from the INSIGHT Clinical Research Network in 116,498 individuals who were diagnosed with COVID-19 between March 1, 2020, and February 23, 2021. We examined hospitalization, intubation/mechanical ventilation, acute kidney failure, severe sepsis, and death as COVID-19-related outcomes. After using propensity score matching to control for demographics and medical comorbidities, we used contingency tables to assess whether patients with (1) a history of psychiatric disorders were at higher risk of more severe COVID-19-related outcomes and (2) if use of antidepressants decreased the risk of more severe COVID-19 infection. Pre-existing psychiatric disorders were associated with an increased risk for hospitalization, and subsequent outcomes such as acute kidney failure and severe sepsis, including an increased risk of death in patients with schizophrenia spectrum disorders or bipolar disorders. The use of antidepressants was associated with significantly reduced risk of sepsis (p = 0.033), death (p = 0.026). Psychiatric disorder diagnosis prior to a COVID-19-related healthcare encounter increased the risk of more severe COVID-19-related outcomes as well as subsequent health complications. However, there are indications that the use of antidepressants might decrease this risk. This may have significant implications for the treatment and prognosis of patients with COVID-19.

Indexed as

Acute Kidney InjuryCOVID-19Mental DisordersSepsisAntidepressive AgentsHumansRetrospective StudiesAntidepressive Agents

Identifiers

PMID37069343
PMCPMC10107583
OpenAlexW4366087212

What OpenQuestion holds

Textmetadata
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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.