Evidence map›Paper›PMID 38191350›Full record

Observational studyBMC infectious diseases2024

Baseline NT-proBNP levels as a predictor of short-and long-term prognosis in COVID-19 patients: a prospective observational study.

Diana Mojón-Álvarez, Teresa Giralt, José Carreras-Mora, Alicia Calvo-Fernández, Andrea Izquierdo, Cristina Soler, Paula Cabero, Silvia Pérez-Fernández, Beatriz Vaquerizo, Núria Ribas Barquet

Open access · goldAbstract readObservational Study
In one paragraph

Observational study 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.3field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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

10 authors at 5 institutions in 1 country.

Diana Mojón-Álvarez *Cardiology Department, Hospital del Mar, Passeig Marítim de la Barceloneta 25-29, Barcelona, 08003, Spain.
Teresa Giralt *Cardiology Department, Hospital del Mar, Passeig Marítim de la Barceloneta 25-29, Barcelona, 08003, Spain.
José Carreras-MoraCardiology Department, Hospital del Mar, Passeig Marítim de la Barceloneta 25-29, Barcelona, 08003, Spain.
Alicia Calvo-FernándezCardiology Department, Hospital del Mar, Passeig Marítim de la Barceloneta 25-29, Barcelona, 08003, Spain.
Andrea IzquierdoMedicine Department, Autonomous University of Barcelona, Bellaterra, Barcelona, 08193, Spain.
Cristina SolerCardiology Department, Hospital del Mar, Passeig Marítim de la Barceloneta 25-29, Barcelona, 08003, Spain.
Paula CaberoCardiology Department, Hospital del Mar, Passeig Marítim de la Barceloneta 25-29, Barcelona, 08003, Spain.
Silvia Pérez-FernándezScientific Coordination Facility, Biocruces Bizkaia Health Research Institute, Barakaldo, 48903, Spain.
Beatriz VaquerizoCardiology Department, Hospital del Mar, Passeig Marítim de la Barceloneta 25-29, Barcelona, 08003, Spain.
Núria Ribas BarquetCardiology Department, Hospital del Mar, Passeig Marítim de la Barceloneta 25-29, Barcelona, 08003, Spain. nribasbarquet@psmar.cat.
Hospital Del Mar · ESUniversitat Autònoma de Barcelona · ESUniversitat Pompeu Fabra · ESBioCruces Health research Institute · ESInstituto de Salud Carlos III · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUp to 20% of COVID-19 patients can suffer COVID-19-related myocardial injury. Elevated cardiac biomarkers, such as hs-cTnT and NT-proBNP, have been related to worse short-term prognosis. However, data on NT-proBNP and long-term prognosis are scarce. We have evaluated the potential association of baseline age-adjusted NT-proBNP levels and outcomes at one-year follow-up in COVID-19 patients.

methodsThis was a single-center prospective study of 499 COVID-19 patients in whom NT-proBNP was assessed at hospital admission. NT-proBNP levels were age-adjusted and patients were classified as high or low NT-proBNP. Clinical and demographic characteristics, comorbidities, laboratory results, and in-hospital complications and mortality were compared between the two groups. Survivors of the acute phase of COVID-19 were followed up for one year from admission to detect readmissions and mortality.

resultsThe 68 patients with high NT-proBNP levels at hospital admission were older, with more cardiovascular risk factors, cardiovascular disease, comorbidities, myocardial injury, and higher levels of inflammatory markers than patients with low NT-proBNP levels. They also had more in-hospital complications and a higher acute-phase mortality rate (60.3% vs. 10.2%, p < 0.001). High NT-proBNP levels were an independent marker of death during hospitalization (HR 1.95; CI 1.07-3.52). At one-year follow-up, high NT-proBNP levels were independently associated with mortality (HR 2.69; CI 1.47-4.89). Among survivors of the acute phase of COVID-19, there were no differences in hospital readmissions between those with high vs. low NT-proBNP levels, but survivors with high baseline NT-proBNP levels showed a higher 1-year mortality rate (7.4% vs. 1.3%, p = 0.018).

conclusionsHigh age-adjusted NT-proBNP levels at the time of hospital admission for COVID-19 are associated with poor short and long-term prognosis. High NT-proBNP seems also to be related to worse prognosis in survivors of the acute phase of COVID-19. A closer follow-up on these patients may be crucial.

Indexed as

COVID-19HumansNatriuretic Peptide, BrainPeptide FragmentsPrognosisProspective StudiesNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)BiomarkersCOVID-19NT-proBNPPrognosisSARS-CoV-2

Identifiers

PMID38191350
PMCPMC10773093
OpenAlexW4390669602

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.