Evidence map›Paper›PMID 38166777›Full record

ArticleBMC infectious diseases2024

Clinical evolution and mortality of critically ill patients with SARS-CoV-2 pneumonia treated with remdesivir in an adult intensive care unit of Paraguay.

Jessica Figueredo, Lorena Fontclara Lopez, Belinda Figueredo Leguizamon, Margarita Samudio, Marcelo Pederzani, Federico Fretes Apelt, Patricia Añazco, Ricardo Caballero, Hugo Bianco

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

9 authors at 1 institution in 1 country.

Jessica FigueredoAdult Intensive Care Department, Facultad de Ciencias Médicas, Hospital de Clínicas, Universidad Nacional de Asunción, San Lorenzo, Paraguay.
Lorena Fontclara LopezAdult Intensive Care Department, Facultad de Ciencias Médicas, Hospital de Clínicas, Universidad Nacional de Asunción, San Lorenzo, Paraguay.
Belinda Figueredo LeguizamonAdult Intensive Care Department, Facultad de Ciencias Médicas, Hospital de Clínicas, Universidad Nacional de Asunción, San Lorenzo, Paraguay. bfigueredo@fcmuna.edu.py.
Margarita SamudioCritical Medicine and Intensive Care, Facultad de Ciencias Médicas, Universidad Nacional de Asunción, San Lorenzo, Paraguay.
Marcelo PederzaniAdult Intensive Care Department, Facultad de Ciencias Médicas, Hospital de Clínicas, Universidad Nacional de Asunción, San Lorenzo, Paraguay.
Federico Fretes ApeltAdult Intensive Care Department, Facultad de Ciencias Médicas, Hospital de Clínicas, Universidad Nacional de Asunción, San Lorenzo, Paraguay.
Patricia AñazcoAdult Intensive Care Department, Facultad de Ciencias Médicas, Hospital de Clínicas, Universidad Nacional de Asunción, San Lorenzo, Paraguay.
Ricardo CaballeroAdult Intensive Care Department, Facultad de Ciencias Médicas, Hospital de Clínicas, Universidad Nacional de Asunción, San Lorenzo, Paraguay.
Hugo BiancoAdult Intensive Care Department, Facultad de Ciencias Médicas, Hospital de Clínicas, Universidad Nacional de Asunción, San Lorenzo, Paraguay.
Universidad Nacional de Asunción · PY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe health crisis due to Covid-19 led to the search for therapeutics that could improve the evolution of the disease. Remdesivir, an antiviral that interferes with viral replication, was one of the first to be used for the treatment of this pathology.

objectiveTo determine clinical course and mortality of patients with severe SARS-CoV-2 pneumonia treated with remdesivir, in comparison of those who didn't receive the medication. PATIENTS AND

methodsRetrospective cohort study, with medical records review of COVID-19 patients, between August 2020 and August 2021. The subjects were divided into two groups, those who received remdesivir before or after admission to intensive care and those who didn't. The primary outcome variable was mortality in intensive care.

resultsOf 214 subjects included, 109 (50,9%) received remdesivir. The median of days for the drug administration was 8 (2-20), IQR: 3. The bivariate analysis prove that the use of remdesivir was related with lower risk of develop Acute Respiratory Distress Syndrome (ARDS) (p = 0,019; OR: 0,521) and lower requirement of mechanical ventilation (p = 0,006; OR:0,450). Additionally, patients treated with remdesivir develop less kidney injury (p = 0,009; OR: 0,441). There was a total of 82 deaths, 29 (26,6%) in the remdesivir group and 53 (50,5%) in the control group [p < 0,001; OR: 0,356 (0,201-0,630)]. All the risk factors associated with mortality in the bivariate analysis were entered into the multivariate analysis by logistic regression, the use of remdesivir remained associated as an independent protective factor to mortality (p = 0.034; OR: 0.429).

conclusionCritically ill patients with SARS-CoV-2 pneumonia treated with remdesivir had a lower risk of death and need for mechanical ventilation and develop less ARDS as compared to the control group. No differences were found in the presentation of adverse effects.

Indexed as

COVID-19Respiratory Distress SyndromeAdenosine MonophosphateAdultAlanineAntiviral AgentsCOVID-19 Drug TreatmentCritical IllnessHumansIntensive Care UnitsParaguayRetrospective StudiesSARS-CoV-2Treatment OutcomeAdenosine MonophosphateAlanineAntiviral AgentsremdesivirARDSCOVID-19Intensive careMortalityRemdesivir

Identifiers

PMID38166777
PMCPMC10762832
OpenAlexW4390499535

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.