Evidence map›Paper›PMID 36521329›Full record

Observational studyJournal of infection and public health2023

Lactate dehydrogenase and PaO2/FiO2 ratio at admission helps to predict CT score in patients with COVID-19: An observational study.

Antonio Russo, Mariantonietta Pisaturo, Ilaria De Luca, Ferdinando Schettino, Paolo Maggi, Fabio Giuliano Numis, Ivan Gentile, Vincenzo Sangiovanni, Anna Maria Rossomando, Valeria Gentile and 13 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Journal of infection and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

23 authors at 8 institutions in 1 country.

Antonio RussoInfectious Diseases, Department of Mental Health and Public Medicine, University of Campania "L. Vanvitelli", Napoli, Italy.
Mariantonietta PisaturoInfectious Diseases, Department of Mental Health and Public Medicine, University of Campania "L. Vanvitelli", Napoli, Italy.
Ilaria De LucaInfectious Diseases, Department of Mental Health and Public Medicine, University of Campania "L. Vanvitelli", Napoli, Italy.
Ferdinando SchettinoRadiology Unit, Departement of Precision Medicine, University of Campania "L. Vanvitelli", Napoli, Italy.
Paolo MaggiInfectious Diseases Unit, A.O. S Anna e S Sebastiano Caserta, Italy.
Fabio Giuliano NumisEmergency unit, PO Santa Maria delle Grazie, Pozzuoli, Italy.
Ivan GentileInfectious disease unit; University Federico II, Naples, Italy.
Vincenzo SangiovanniThird Infectious Diseases Unit, AORN dei Colli, P.O. Cotugno, Naples, Italy.
Anna Maria RossomandoIV Infectious Disease Unit, AORN dei Coli, PO Cotugno, Naples, Italy.
Valeria GentileHepatic Infectious Disease Unit, AORN dei Colli, PO Cotugno, Naples, Italy.
Giosuele CalabriaIX Infectious Disease Unit, AORN dei Coli, PO Cotugno, Naples, Italy.
Caroliona RescignoFirst Infectious Disease Unit, AORN dei Coli, PO Cotugno, Naples, Italy.
Angelo Salomone MegnaInfectious Diseease Unit, A.O. San Pio, PO Rummo, Benevento, Italy.
Alfonso MasulloInfectious disease unit, A.O. San Giovanni di Dio e Ruggi D'Aragona Salerno, Italy.
Elio ManzilloVIII Infectious Disease Unit, AORN dei Coli, PO Cotugno, Naples, Italy.
Grazia RussoInfectious Disease Unit, Ospedale Maria S.S. Addolorata di Eboli, ASL Salerno, Italy.
Roberto ParrellaRespiratory Infectious Diseases Unit, AORN dei Colli, PO Cotugno, Naples, Italy.
Giuseppina Dell'AquilaInfectious Diseases Unit, AO Avellino, Italy.
Michele GambardellaInfectious Diseease Unit, PO S. Luca, Vallo della Lucania, ASL Salerno, Italy.
Antonio PonticielloPneumology Unit, AORN Caserta, Italy.
Alfonso ReginelliRadiology Unit, Departement of Precision Medicine, University of Campania "L. Vanvitelli", Napoli, Italy.
Nicola CoppolaInfectious Diseases, Department of Mental Health and Public Medicine, University of Campania "L. Vanvitelli", Napoli, Italy. Electronic address: nicola.coppola@unicampania.it.
CoviCam group
Ospedale D. Cotugno · ITUniversity of Campania "Luigi Vanvitelli" · ITOspedale Santa Maria · ITAzienda Ospedaliera G.Rummo · ITFederico II University Hospital · ITI.R.C.C.S. Oasi Maria SS · ITOspedali Riuniti San Giovanni di Dio e Ruggi d'Aragona · ITUniversity of Campania "Luigi Vanvitelli" · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSince the beginning of the severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) pandemic an important tool for patients with Coronavirus Disease 2019 (COVID-19) has been the computed tomography (CT) scan, but not always available in some settings The aim was to find a cut-off that can predict worsening in patients with COVID-19 assessed with a computed tomography (CT) scan and to find laboratory, clinical or demographic parameters that may correlate with a higher CT score.

methodsWe performed a multi-center, observational, retrospective study involving seventeen COVID-19 Units in southern Italy, including all 321 adult patients hospitalized with a diagnosis of COVID-19 who underwent at admission a CT evaluated using Pan score.

resultsConsidering the clinical outcome and Pan score, the best cut-off point to discriminate a severe outcome was 12.5. High lactate dehydrogenase (LDH) serum value and low PaO2/FiO2 ratio (P/F) resulted independently associated with a high CT score. The Area Under Curve (AUC) analysis showed that the best cut-off point for LDH was 367.5 U/L and for P/F 164.5. Moreover, the patients with LDH> 367.5 U/L and P/F < 164.5 showed more frequently a severe CT score than those with LDH< 367.5 U/L and P/F> 164.5, 83.4%, vs 20%, respectively.

conclusionsA direct correlation was observed between CT score value and outcome of COVID-19, such as CT score and high LDH levels and low P/F ratio at admission. Clinical or laboratory tools that predict the outcome at admission to hospital are useful to avoiding the overload of hospital facilities.

Indexed as

COVID-19Respiratory Distress SyndromeAdultHumansL-Lactate DehydrogenaseRetrospective StudiesSARS-CoV-2Tomography, X-Ray ComputedL-Lactate DehydrogenaseCOVID-19CT scorePan scoreSARS-CoV-2 infectionSeverity of disease

Identifiers

PMID36521329
PMCPMC9743688
OpenAlexW4312065436

What OpenQuestion holds

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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.