ArticlePsychosomatic medicine2024
Preexisting Psychiatric Conditions as Risk Factors for Diagnosed Long COVID-19 Syndrome Within Aggregated Electronic Health Record Data.
Article in Psychosomatic medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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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.
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Who cites it
9 citing papers in PubMed, 11 citations in OpenAlex.
- [The importance of psychiatry in the care and research of Post-COVID].Der Nervenarzt · 2026Review
- Mental Health Outcomes After the Acute Phase of COVID-19: Factors Identified in a Korean Public Mental Health Service.Journal of Korean medical science · 2026Article
- Supporting the psychosocial well-being of patients with Long COVID: patient-informed strategies from a qualitative study.Frontiers in psychiatry · 2026Article
- COVID-19 symptom duration: evidence from a survey of infected workers in Tokyo.Frontiers in public health · 2026Article
- Pandemic-disordered sleep: longer illness and more fatigue but little SARS-CoV-2 effect.ERJ open research · 2025Article
- Long COVID in people with mental health disorders: a scoping review.BMC psychiatry · 2025Article
- Editorial: Long COVID and brain inflammation: unravelling mechanisms and potential therapies.Frontiers in immunology · 2025Article
- Effects of COVID-19 virus-like particles on the behavioral and cognitive performance of human apolipoprotein E targeted replacement mice.Frontiers in immunology · 2024Article
- Risk factors for post-COVID-19 condition: A case-control study in municipalities of Paraíba and Rio de Janeiro, Brazil.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious DiseasesArticle
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
Abstract
objectiveThis study aimed to investigate the frequency of long COVID diagnosis among patients infected with severe acute respiratory syndrome coronavirus 2 with preexisting psychiatric conditions versus those without preexisting psychiatric conditions.
methodsThe TriNetX Analytics platform, an aggregated electronic health record research network containing the deidentified electronic health record data of more than 90 million patients, was queried for patients who were diagnosed with COVID-19 infection based on International Classifications of Disease, Tenth Revision codes. Patients were stratified based on their preexisting psychiatric conditions, and new diagnoses of long COVID were recorded and reported as the primary outcome.
resultsAmong 1,180,948 patients previously diagnosed with COVID-19, 17,990 patients (1.52%) were diagnosed with long COVID based on the newly implemented International Classifications of Disease, Tenth Revision code "U09: post-COVID-19 condition." After propensity score matching, patients with any preexisting psychiatric diagnosis had a 1.52 (95% confidence interval [CI] = 1.47-1.58) times greater prevalence of diagnosed long COVID within 180 days of infection than patients without preexisting psychiatric diagnoses. Patients with diagnosed anxiety disorders (relative risk [RR] = 1.64; 95% CI = 1.57-1.71), mood disorders (RR = 1.65; 95% CI = 1.57-1.72), bipolar disorder (RR = 1.37; 95% CI = 1.21-1.54), major depressive disorder (RR = 1.69; 95% CI = 1.56-1.83), psychotic disorders (RR = 1.23; 95% CI = 1.06-1.44), and substance use disorders (RR = 1.28; 95% CI = 1.22-1.36) had higher risks for long COVID diagnoses when compared with patients without preexisting psychiatric illness at the time of diagnosis.
conclusionsMultiple preexisting psychiatric diagnoses are associated with an increased risk of being diagnosed with long COVID after COVID-19 infection.
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Registered trials
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.