Evidence map›Paper›PMID 37048757›Full record

ArticleJournal of clinical medicine2023

Long-Term Consequences of COVID-19: A 1-Year Analysis.

Laurence Bamps, Jean-Philippe Armenti, Mirela Bojan, Bruno Grandbastien, Christophe von Garnier, Renaud Du Pasquier, Florian Desgranges, Matthaios Papadimitriou-Olivgeris, Lorenzo Alberio, Martin Preisig and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
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 3 countries.

Laurence BampsService of Infectious Diseases, Lausanne University Hospital and University of Lausanne, 1011 Lausanne, Switzerland.
Jean-Philippe ArmentiService of Infectious Diseases, Lausanne University Hospital and University of Lausanne, 1011 Lausanne, Switzerland.ORCID 0009-0008-9356-9402
Mirela BojanAnesthesiology, Hopital Marie Lannelongue, 133 Av. de la Résistance, 92350 Le Plessis-Robinson, France.
Bruno GrandbastienService of Infectious Diseases, Lausanne University Hospital and University of Lausanne, 1011 Lausanne, Switzerland.
Christophe von GarnierDivision of Pneumology, Lausanne University Hospital and University of Lausanne, 1011 Lausanne, Switzerland.
Renaud Du PasquierService of Neurology, Lausanne University Hospital and University of Lausanne, 1011 Lausanne, Switzerland.
Florian DesgrangesService of Infectious Diseases, Lausanne University Hospital and University of Lausanne, 1011 Lausanne, Switzerland.ORCID 0000-0002-0409-1689
Matthaios Papadimitriou-OlivgerisService of Infectious Diseases, Lausanne University Hospital and University of Lausanne, 1011 Lausanne, Switzerland.
Lorenzo AlberioService of Haematology and Haematology Central Laboratory, Lausanne University Hospital and University of Lausanne, 1011 Lausanne, Switzerland.ORCID 0000-0001-9686-9920
Martin PreisigService of Psychiatry, Lausanne University Hospital and University of Lausanne, 1011 Lausanne, Switzerland.ORCID 0000-0001-5689-4259
Jurg SchwitterService of Cardiology, Lausanne University Hospital and University of Lausanne,1011 Lausanne, Switzerland.ORCID 0000-0002-9966-6149
Benoit GueryService of Infectious Diseases, Lausanne University Hospital and University of Lausanne, 1011 Lausanne, Switzerland.
The RegCOVID Study Group
University of Lausanne · CHCliniques Universitaires Saint-Luc · BEHôpital Marie Lannelongue · FRUniversity Hospital of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long-lasting symptoms after SARS-CoV-2 infection have been described many times in the literature and are referred to as Long COVID. In this prospective, longitudinal, monocentric, observational study, we collected the health complaints of 474 patients (252 ambulatory and 222 hospitalized) at Lausanne University Hospital 1 year after COVID-19 diagnosis. Using a self-reported health survey, we explored cardiopulmonary, vascular, neurological, and psychological complaints. Our results show that age, Charlson comorbidity index, and smoking habits were associated with hospital admission. Regarding the vascular system, we found that having had thromboembolism before SARS-CoV-2 infection was significantly associated with a higher risk of recurrence of thromboembolism at 1 year. In the neurologic evaluation, the most frequent symptom was fatigue, which was observed in 87.5% of patients, followed by "feeling slowed down", headache, and smell disturbance in 71.5%, 68.5%, and 60.7% of cases, respectively. Finally, our cohort subjects scored higher overall in the STAI, CESD, Maastricht, and PSQI scores (which measure anxiety, depression, fatigue, and sleep, respectively) than the healthy population. Using cluster analysis, we identified two phenotypes of patients prone to developing Long COVID. At baseline, CCS score, prior chronic disease, stroke, and atrial fibrillation were associated with Long COVID. During COVID infection, mechanical ventilation and five neurological complaints were also associated with Long COVID. In conclusion, this study confirms the wide range of symptoms developed after COVID with the involvement of all the major systems. Early identification of risk factors associated with the development of Long COVID could improve patient follow-up; nevertheless, the low specificity of these factors remains a challenge to building a systematic approach.

Indexed as

long COVID-19SARS-CoV-2

Identifiers

PMID37048757
PMCPMC10095027
OpenAlexW4362559286

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.