Evidence map›Paper›PMID 36673034›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Predictive Value of Echocardiographic Pulmonary to Left Atrial Ratio for In-Hospital Death in Patients with COVID-19.

Giulia Renda, Marco G Mennuni, Giovanni Pizzoferrato, Daniele Esposto, Angela Alberani, Simona De Vecchi, Anna Degiovanni, Ailia Giubertoni, Enrico Guido Spinoni, Leonardo Grisafi and 6 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

16 authors at 2 institutions in 1 country.

Giulia RendaInstitute of Cardiology, Department of Neuroscience, Imaging and Clinical Sciences, G. d'Annunzio University of Chieti-Pescara, 66100 Chieti, Italy.
Marco G MennuniMaggiore della Carità Hospital, 28100 Novara, Italy.ORCID 0000-0002-3795-8787
Giovanni PizzoferratoInstitute of Cardiology, Department of Neuroscience, Imaging and Clinical Sciences, G. d'Annunzio University of Chieti-Pescara, 66100 Chieti, Italy.ORCID 0000-0003-0214-625X
Daniele EspostoInstitute of Cardiology, Department of Neuroscience, Imaging and Clinical Sciences, G. d'Annunzio University of Chieti-Pescara, 66100 Chieti, Italy.
Angela AlberaniInstitute of Cardiology, Department of Neuroscience, Imaging and Clinical Sciences, G. d'Annunzio University of Chieti-Pescara, 66100 Chieti, Italy.
Simona De VecchiMaggiore della Carità Hospital, 28100 Novara, Italy.
Anna DegiovanniMaggiore della Carità Hospital, 28100 Novara, Italy.ORCID 0000-0002-4503-7531
Ailia GiubertoniMaggiore della Carità Hospital, 28100 Novara, Italy.
Enrico Guido SpinoniTranslational Medicine Department, University of Eastern Piedmont, 28100 Novara, Italy.ORCID 0000-0002-7980-1737
Leonardo GrisafiTranslational Medicine Department, University of Eastern Piedmont, 28100 Novara, Italy.ORCID 0000-0001-5277-9907
Emanuele SagazioTranslational Medicine Department, University of Eastern Piedmont, 28100 Novara, Italy.
Claudio UcciferriSS. Annunziata Hospital of Chieti, 66100 Chieti, Italy.ORCID 0000-0002-5866-3849
Katia FalascaSS. Annunziata Hospital of Chieti, 66100 Chieti, Italy.ORCID 0000-0002-8795-5410
Jacopo VecchietSS. Annunziata Hospital of Chieti, 66100 Chieti, Italy.
Sabina GallinaInstitute of Cardiology, Department of Neuroscience, Imaging and Clinical Sciences, G. d'Annunzio University of Chieti-Pescara, 66100 Chieti, Italy.ORCID 0000-0003-0263-4851
Giuseppe PattiMaggiore della Carità Hospital, 28100 Novara, Italy.ORCID 0000-0002-5404-3968
University of Chieti-Pescara · ITUniversità degli Studi del Piemonte Orientale “Amedeo Avogadro” · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Echocardiographic Pulmonary to Left Atrial Ratio (ePLAR) represents an accurate and sensitive non-invasive tool to estimate the trans-pulmonary gradient. The prognostic value of ePLAR in hospitalized patients with COVID-19 remains unknown. We aimed to investigate the predictive value of ePLAR on in-hospital mortality in patients with COVID-19. Methods: One hundred consecutive patients admitted to two Italian institutions for COVID-19 undergoing early (<24 h) echocardiographic examination were included; ePLAR was determined from the maximum tricuspid regurgitation continuous wave Doppler velocity (m/s) divided by the transmitral E-wave: septal mitral annular Doppler Tissue Imaging e′-wave ratio (TRVmax/E:e′). The primary outcome measure was in-hospital death. Results: patients who died during hospitalization had at baseline a higher prevalence of tricuspid regurgitation, higher ePLAR, right-side pressures, lower Tricuspid Annular Plane Systolic Excursion (TAPSE)/ systolic Pulmonary Artery Pressure (sPAP) ratio and reduced inferior vena cava collapse than survivors. Patients with ePLAR > 0.28 m/s at baseline showed non-significant but markedly increased in-hospital mortality compared to those having ePLAR ≤ 0.28 m/s (27% vs. 10.8%, p = 0.055). Multivariate Cox regression showed that an ePLAR > 0.28 m/s was independently associated with an increased risk of death (HR 5.07, 95% CI 1.04−24.50, p = 0.043), particularly when associated with increased sPAP (p for interaction = 0.043). Conclusions: A high ePLAR value at baseline predicts in-hospital death in patients with COVID-19, especially in those with elevated pulmonary arterial pressure. These results support an early ePLAR assessment in patients admitted for COVID-19 to identify those at higher risk and potentially guide strategies of diagnosis and care.

Indexed as

COVID-19ePLARin-hospital mortalitypulmonary embolismtrans-pulmonary pressure gradient

Identifiers

PMID36673034
PMCPMC9857775
OpenAlexW4313826625

What OpenQuestion holds

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LicenceCC BY
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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.