Evidence map›Paper›PMID 37510807›Full record

ArticleJournal of clinical medicine2023

An Observational Study to Develop a Predictive Model for Bacterial Pneumonia Diagnosis in Severe COVID-19 Patients-C19-PNEUMOSCORE.

Eloisa Sofia Tanzarella, Joel Vargas, Marco Menghini, Stefania Postorino, Francesca Pozzana, Maria Sole Vallecoccia, Francesco Lorenzo De Matteis, Federico Franchi, Amato Infante, Luigi Larosa and 12 more

Abstract read
In one paragraph

Article in Journal of clinical medicine, 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
–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

3 citing papers in PubMed.

  1. Article
  2. Review
  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

22 authors.

Eloisa Sofia TanzarellaDipartimento di Scienze Dell'emergenza, Anestesiologiche e della Rianimazione, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.
Joel VargasDipartimento di Scienze Cardiovascolari, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.
Marco MenghiniU.O.C. Terapia Intensiva OM e Hub Maxi Emergenze, Ospedale Maggiore Carlo Alberto Pizzardi, 40133 Bologna, Italy.
Stefania PostorinoDipartimento di Scienze Dell'emergenza, Anestesiologiche e della Rianimazione, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.ORCID 0009-0002-3468-7616
Francesca PozzanaDipartimento di Anestesia e Rianimazione, Ospedale Santa Maria Goretti, 04100 Latina, Italy.
Maria Sole VallecocciaAnesthesia and Intensive Care Unit, Department of Emergency and Critical Care, Santa Maria Nuova Hospital, 50122 Florence, Italy.ORCID 0000-0003-4493-7447
Francesco Lorenzo De MatteisDepartment of Medical Science, Surgery and Neurosciences, Cardiothoracic and Vascular Anesthesia and Intensive Care Unit, University of Siena, 53100 Siena, Italy.
Federico FranchiDepartment of Medical Science, Surgery and Neurosciences, Cardiothoracic and Vascular Anesthesia and Intensive Care Unit, University of Siena, 53100 Siena, Italy.ORCID 0000-0002-4448-1892
Amato InfanteDipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.ORCID 0000-0003-4407-2631
Luigi LarosaDipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.ORCID 0000-0001-8136-038X
Maria Antonietta MazzeiUnit of Diagnostic Imaging, Department of Medical, Surgical and Neuro Sciences and of Radiological Sciences, University of Siena, Azienda Ospedaliero-Universitaria Senese, 53100 Siena, Italy.ORCID 0000-0001-6778-6894
Salvatore Lucio CutuliDipartimento di Scienze Dell'emergenza, Anestesiologiche e della Rianimazione, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.ORCID 0000-0001-8135-6284
Domenico Luca GriecoDipartimento di Scienze Dell'emergenza, Anestesiologiche e della Rianimazione, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.ORCID 0000-0002-4557-6308
Alessandra BisantiDipartimento di Scienze Dell'emergenza, Anestesiologiche e della Rianimazione, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.
Simone CarelliDipartimento di Scienze Dell'emergenza, Anestesiologiche e della Rianimazione, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.ORCID 0000-0002-0666-8955
Gianmarco LombardiDipartimento di Scienze Dell'emergenza, Anestesiologiche e della Rianimazione, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.
Edoardo PiervincenziDipartimento di Scienze Dell'emergenza, Anestesiologiche e della Rianimazione, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.ORCID 0000-0003-1422-6791
Gabriele PintaudiDipartimento di Scienze Dell'emergenza, Anestesiologiche e della Rianimazione, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.
Tommaso PirrontiDipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.
Mario TumbarelloDipartimento di Biotecnologie Mediche, Università degli Studi di Siena, 53100 Siena, Italy.ORCID 0000-0002-9519-8552
Massimo AntonelliDipartimento di Scienze Dell'emergenza, Anestesiologiche e della Rianimazione, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.ORCID 0000-0003-3007-1670
Gennaro De PascaleDipartimento di Scienze Dell'emergenza, Anestesiologiche e della Rianimazione, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.ORCID 0000-0002-8255-0676

Funding

Ministero della Salute GR-2018-1236737
6 · The paper itself

Abstract

In COVID-19 patients, antibiotics overuse is still an issue. A predictive scoring model for the diagnosis of bacterial pneumonia at intensive care unit (ICU) admission would be a useful stewardship tool. We performed a multicenter observational study including 331 COVID-19 patients requiring invasive mechanical ventilation at ICU admission; 179 patients with bacterial pneumonia; and 152 displaying negative lower-respiratory samplings. A multivariable logistic regression model was built to identify predictors of pulmonary co-infections, and a composite risk score was developed using β-coefficients. We identified seven variables as predictors of bacterial pneumonia: vaccination status (OR 7.01; 95% CI, 1.73-28.39); chronic kidney disease (OR 3.16; 95% CI, 1.15-8.71); pre-ICU hospital length of stay ≥ 5 days (OR 1.94; 95% CI, 1.11-3.4); neutrophils ≥ 9.41 × 10

Indexed as

antimicrobial stewardshipbacterial co-infectionbacterial pneumoniaCOVID-19prognostic tool

Identifiers

PMID37510807
PMCPMC10381000

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.