Evidence map›Paper›PMID 27076187›Full record

ArticleAnnals of intensive care2016

Biomarker kinetics in the prediction of VAP diagnosis: results from the BioVAP study.

Pedro Póvoa, Ignacio Martin-Loeches, Paula Ramirez, Lieuwe D Bos, Mariano Esperatti, Joana Silvestre, Gisela Gili, Gema Goma, Eugenio Berlanga, Mateu Espasa and 3 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Annals of intensive care, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02078999 (Observational Study in Patients Admitted in the Intensive Care Unit.Tracheal Bacterial Load Surveillance in Patients Undergoing Mechanical Ventilation - Assessment of Biomarkers in the Distinction Between Colonization and Infection), which is not on this map. Cited by 33 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 3 pooled it
4.8field-weighted citation impact, top 5% 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.

NCT02078999 completednot on this map

Observational Study in Patients Admitted in the Intensive Care Unit.Tracheal Bacterial Load Surveillance in Patients Undergoing Mechanical Ventilation - Assessment of Biomarkers in the Distinction Between Colonization and Infection

TypeobservationalSponsorCorporacion Parc TauliRan2008 to 2015Enrolled211ConditionsVentilator Associated Pneumonia
3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 3 syntheses or guidelines pooled it, 86 citations in OpenAlex.

  1. Biomarkers in lower respiratory tract samples in the diagnosis of ventilator-associated pneumonia: a systematic review.European respiratory review : an official journal of the European Respiratory Society · 2025
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. The spectrum of pneumonia among intubated neonates in the neonatal intensive care unit.Journal of perinatology : official journal of the California Perinatal Association · 2024
    Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Guidelines for the Use of Procalcitonin for Rational Use of Antibiotics.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2022
    Article
  18. Article
  19. Review
  20. 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

13 authors at 8 institutions in 3 countries.

Pedro PóvoaPolyvalent Intensive Care Unit, Centro Hospitalar de Lisboa Ocidental, São Francisco Xavier Hospital, Estrada do Forte do Alto do Duque, 1449-005, Lisbon, Portugal. pedrorpovoa@gmail.com.
Ignacio Martin-LoechesCritical Care Center, Sabadell Hospital, Corporación Sanitaria Universitaria Parc Taulí, Universitat Autonoma de Barcelona, Sabadell, Spain.
Paula RamirezCIBER de Enfermedades Respiratorias (CIBERES), Madrid, Spain.
Lieuwe D BosDepartment of Intensive Care, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Mariano EsperattiCIBER de Enfermedades Respiratorias (CIBERES), Madrid, Spain.
Joana SilvestrePolyvalent Intensive Care Unit, Centro Hospitalar de Lisboa Ocidental, São Francisco Xavier Hospital, Estrada do Forte do Alto do Duque, 1449-005, Lisbon, Portugal.
Gisela GiliCritical Care Center, Sabadell Hospital, Corporación Sanitaria Universitaria Parc Taulí, Universitat Autonoma de Barcelona, Sabadell, Spain.
Gema GomaCritical Care Center, Sabadell Hospital, Corporación Sanitaria Universitaria Parc Taulí, Universitat Autonoma de Barcelona, Sabadell, Spain.
Eugenio BerlangaLaboratory Department, UDIAT, Corporación Sanitaria Universitaria Parc Taulí, Sabadell, Spain.
Mateu EspasaLaboratory Department, UDIAT, Corporación Sanitaria Universitaria Parc Taulí, Sabadell, Spain.
Elsa GonçalvesNOVA Medical School, CEDOC, New University of Lisbon, Lisbon, Portugal.
Antoni TorresCIBER de Enfermedades Respiratorias (CIBERES), Madrid, Spain.
Antonio ArtigasCritical Care Center, Sabadell Hospital, Corporación Sanitaria Universitaria Parc Taulí, Universitat Autonoma de Barcelona, Sabadell, Spain.
Universitat Autònoma de Barcelona · ESCentro de Investigación Biomédica en Red de Enfermedades Respiratorias · ESCentro Hospitalar de Lisboa Ocidental · PTCorporació Sanitària Parc Taulí · ESAcademic Medical Center · NLConsorci Institut D'Investigacions Biomediques August Pi I Sunyer · ESDeleted InstitutionHospital de Egas Moniz · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrediction of diagnosis of ventilator-associated pneumonia (VAP) remains difficult. Our aim was to assess the value of biomarker kinetics in VAP prediction.

methodsWe performed a prospective, multicenter, observational study to evaluate predictive accuracy of biomarker kinetics, namely C-reactive protein (CRP), procalcitonin (PCT), mid-region fragment of pro-adrenomedullin (MR-proADM), for VAP management in 211 patients receiving mechanical ventilation for >72 h. For the present analysis, we assessed all (N = 138) mechanically ventilated patients without an infection at admission. The kinetics of each variable, from day 1 to day 6 of mechanical ventilation, was assessed with each variable's slopes (rate of biomarker change per day), highest level and maximum amplitude of variation (Δ (max)).

resultsA total of 35 patients (25.4 %) developed a VAP and were compared with 70 non-infected controls (50.7 %). We excluded 33 patients (23.9 %) who developed a non-VAP nosocomial infection. Among the studied biomarkers, CRP and CRP ratio showed the best performance in VAP prediction. The slope of CRP change over time (adjusted odds ratio [aOR] 1.624, confidence interval [CI]95% [1.206, 2.189], p = 0.001), the highest CRP ratio concentration (aOR 1.202, CI95% [1.061, 1.363], p = 0.004) and Δ (max) CRP (aOR 1.139, CI95% [1.039, 1.248], p = 0.006), during the first 6 days of mechanical ventilation, were all significantly associated with VAP development. Both PCT and MR-proADM showed a poor predictive performance as well as temperature and white cell count.

conclusionsOur results suggest that in patients under mechanical ventilation, daily CRP monitoring was useful in VAP prediction. Trial registration NCT02078999.

Indexed as

BiomarkersClinical Pulmonary Infection ScoreC-reactive proteinDiagnosisMid-region fragment of pro-adrenomedullinPredictionProcalcitoninVentilator-associated pneumonia

Identifiers

PMID27076187
PMCPMC4830786
OpenAlexW2339103203

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.