Evidence map›Paper›PMID 41764866›Full record

ArticleClinics (Sao Paulo, Brazil)2026

Risk factors associated with mortality among patients with COVID-19 in the intensive care unit: prospective cohort study from the early pandemic phase in Brazil.

Brena Ramos Athaydes, Mariane Vedovatti Monfardini, Priscila Marinho Abreu, Frederico Firme Figueira, Juliana Couto-Vieira, Roberta Ferreira Ventura Mendes, Rahyza Inacio Freire de Assis, Luiz Felipe Camporez, Priscilla de Aquino Martins, Liliana Cruz Spano and 1 more

Abstract read
In one paragraph

Article in Clinics (Sao Paulo, Brazil), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Brena Ramos AthaydesPostgraduate Program in Biotechnology, Health Sciences Center, Universidade Federal do Espírito Santo (UFES), Vitória, ES, Brazil. Electronic address: brena.athaydes@ufes.br.
Mariane Vedovatti MonfardiniPostgraduate Program in Biotechnology, Health Sciences Center, Universidade Federal do Espírito Santo (UFES), Vitória, ES, Brazil.
Priscila Marinho AbreuPostgraduate Program in Biotechnology, Health Sciences Center, Universidade Federal do Espírito Santo (UFES), Vitória, ES, Brazil.
Frederico Firme FigueiraPostgraduate Program in Biotechnology, Health Sciences Center, Universidade Federal do Espírito Santo (UFES), Vitória, ES, Brazil.
Juliana Couto-VieiraPostgraduate Program in Biotechnology, Health Sciences Center, Universidade Federal do Espírito Santo (UFES), Vitória, ES, Brazil.
Roberta Ferreira Ventura MendesPostgraduate Program in Biotechnology, Health Sciences Center, Universidade Federal do Espírito Santo (UFES), Vitória, ES, Brazil.
Rahyza Inacio Freire de AssisPostgraduate Program in Biotechnology, Health Sciences Center, Universidade Federal do Espírito Santo (UFES), Vitória, ES, Brazil.
Luiz Felipe CamporezPostgraduate Program in Biotechnology, Health Sciences Center, Universidade Federal do Espírito Santo (UFES), Vitória, ES, Brazil.
Priscilla de Aquino MartinsHospital Estadual Jayme dos Santos Neves, Serra, ES, Brazil.
Liliana Cruz SpanoPostgraduate Program in Infectious Diseases, Health Sciences Center, Universidade Federal do Espírito Santo (UFES), Vitória, ES, Brazil.
Sandra Ventorin von ZeidlerPostgraduate Program in Biotechnology, Health Sciences Center, Universidade Federal do Espírito Santo (UFES), Vitória, ES, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis prospective cohort study describes clinical, laboratory factors and virological factors associated with in-hospital mortality among 227 Intensive Care Unit (ICU) patients with SARS-CoV-2 infection admitted in Brazil during the pre-vaccination, pre-Omicron phase of the pandemic (September 2020 to March 2021).

methodsClinical and laboratory data were extracted from medical records, and viral load was quantified by RT-qPCR Cycle threshold (Ct) values. Independent predictors of mortality were evaluated using multivariable Cox proportional hazards regression, and survival was analyzed with Kaplan-Meier curves.

resultsNon-survivors were significantly older (p < 0.001) and more likely to have hypertension (p = 0.014) and chronic respiratory disease (p = 0.042). At admission, they exhibited higher leukocyte counts (p = 0.001), D-dimer (p = 0.028), and creatinine levels (p = 0.001), as well as more frequent tracheal intubation (p < 0.001). During hospitalization, non-survivors showed persistently elevated leukocyte counts and developed more complications, including acute kidney injury, septic shock, and cardiac arrest (p < 0.001). Viral load was higher in non-survivors (p = 0.026) and among those requiring intubation (p = 0.042) or with cardiovascular disease (p = 0.016). In the multivariable Cox model, only creatinine at admission remained independently associated with mortality (HR = 1.18; 95% CI: 1.00-1.39; p = 0.049). Survival analysis showed reduced survival among patients aged ≥ 65-years (p = 0.004) and those with chronic respiratory disease (p = 0.029).

conclusionsThis study integrates clinical, laboratory, and viral load data to detail the early COVID-19 severity and mortality patterns in a Brazilian ICU.

Indexed as

ComorbiditiesIntensive care unitsMortalitySARS-CoV-2Viral load

Identifiers

PMID41764866
PMCPMC12961218

What Socratic 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 Socratic graph.