Evidence map›Paper›PMID 38317683›Full record

ArticleFrontiers in public health2023

Prevalence, predictors, and patient-reported outcomes of long COVID in hospitalized and non-hospitalized patients from the city of São Paulo, Brazil.

Daniel Tavares Malheiro, Sabrina Bernardez-Pereira, Kauê Capellato Junqueira Parreira, João Gabriel Dias Pagliuso, Emerson de Paula Gomes, Daisa de Mesquita Escobosa, Carolina Ivo de Araújo, Beatriz Silva Pimenta, Vivian Lin, Silvana Maria de Almeida and 8 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

18 authors.

Daniel Tavares MalheiroHospital Israelita Albert Einstein, São Paulo, Brazil.
Sabrina Bernardez-PereiraHospital Israelita Albert Einstein, São Paulo, Brazil.
Kauê Capellato Junqueira ParreiraHospital Israelita Albert Einstein, São Paulo, Brazil.
João Gabriel Dias PagliusoHospital Israelita Albert Einstein, São Paulo, Brazil.
Emerson de Paula GomesHospital Israelita Albert Einstein, São Paulo, Brazil.
Daisa de Mesquita EscobosaHospital Israelita Albert Einstein, São Paulo, Brazil.
Carolina Ivo de AraújoHospital Israelita Albert Einstein, São Paulo, Brazil.
Beatriz Silva PimentaHospital Israelita Albert Einstein, São Paulo, Brazil.
Vivian LinHospital Israelita Albert Einstein, São Paulo, Brazil.
Silvana Maria de AlmeidaHospital Israelita Albert Einstein, São Paulo, Brazil.
Paula TumaHospital Israelita Albert Einstein, São Paulo, Brazil.
Claudia Regina LaselvaHospital Israelita Albert Einstein, São Paulo, Brazil.
Miguel Cendoroglo NetoHospital Israelita Albert Einstein, São Paulo, Brazil.
Sidney KlajnerHospital Israelita Albert Einstein, São Paulo, Brazil.
Vanessa Damazio TeichHospital Israelita Albert Einstein, São Paulo, Brazil.
Takaaki KobayashiDepartment of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, IA, United States.
Michael B EdmondWest Virginia University School of Medicine, Morgantown, WV, United States.
Alexandre R MarraHospital Israelita Albert Einstein, São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Robust data comparing long COVID in hospitalized and non-hospitalized patients in middle-income countries are limited. Methods: A retrospective cohort study was conducted in Brazil, including hospitalized and non-hospitalized patients. Long COVID was diagnosed at 90-day follow-up using WHO criteria. Demographic and clinical information, including the depression screening scale (PHQ-2) at day 30, was compared between the groups. If the PHQ-2 score is 3 or greater, major depressive disorder is likely. Logistic regression analysis identified predictors and protective factors for long COVID. Results: A total of 291 hospitalized and 1,118 non-hospitalized patients with COVID-19 were included. The prevalence of long COVID was 47.1% and 49.5%, respectively. Multivariable logistic regression showed female sex (odds ratio [OR] = 4.50, 95% confidence interval (CI) 2.51-8.37), hypertension (OR = 2.90, 95% CI 1.52-5.69), PHQ-2 > 3 (OR = 6.50, 95% CI 1.68-33.4) and corticosteroid use during hospital stay (OR = 2.43, 95% CI 1.20-5.04) as predictors of long COVID in hospitalized patients, while female sex (OR = 2.52, 95% CI 1.95-3.27) and PHQ-2 > 3 (OR = 3.88, 95% CI 2.52-6.16) were predictors in non-hospitalized patients. Conclusion: Long COVID was prevalent in both groups. Positive depression screening at day 30 post-infection can predict long COVID. Early screening of depression helps health staff to identify patients at a higher risk of long COVID, allowing an early diagnosis of the condition.

Indexed as

COVID-19Major Depressive DisorderBrazilFemaleHumansPatient Reported Outcome MeasuresPost-Acute COVID-19 SyndromePrevalenceRetrospective Studiesdepression screeninglong COVIDmental healthmiddle income countriesquality of life

Identifiers

PMID38317683
PMCPMC10839020

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Registered trials

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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.