Evidence map›Paper›PMID 36127078›Full record

Observational studyBMJ open2022

External validation of the ProVent score for prognostication of 1-year mortality of critically ill patients with prolonged mechanical ventilation: a single-centre, retrospective observational study in Austria.

Christoph Dibiasi, Oliver Kimberger, Razvan Bologheanu, Thomas Staudinger, Gottfried Heinz, Christian Zauner, Gürkan Sengölge, Eva Schaden

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2022. 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. Observational
  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

8 authors.

Christoph DibiasiDepartment of Anaesthesia, Intensive Care Medicine and Pain Medicine, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-2270-0089
Oliver KimbergerDepartment of Anaesthesia, Intensive Care Medicine and Pain Medicine, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-9766-1360
Razvan BologheanuDepartment of Anaesthesia, Intensive Care Medicine and Pain Medicine, Medical University of Vienna, Vienna, Austria.
Thomas StaudingerDepartment of Medicine I, Medical University of Vienna, Vienna, Austria.
Gottfried HeinzDepartment of Medicine II, Medical University of Vienna, Vienna, Austria.
Christian ZaunerDepartment of Medicine III, Medical University of Vienna, Vienna, Austria.
Gürkan SengölgeDepartment of Medicine III, Medical University of Vienna, Vienna, Austria.
Eva SchadenDepartment of Anaesthesia, Intensive Care Medicine and Pain Medicine, Medical University of Vienna, Vienna, Austria eva.schaden@meduniwien.ac.at.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIn critically ill patients requiring mechanical ventilation for at least 21 days, 1-year mortality can be estimated using the ProVent score, calculated from four variables (age, platelet count, vasopressor use and renal replacement therapy). We aimed to externally validate discrimination and calibration of the ProVent score and, if necessary, to update its underlying regression model.

designRetrospective, observational, single-centre study.

setting11 intensive care units at one tertiary academic hospital. PATIENTS: 780 critically ill adult patients receiving invasive mechanical ventilation for at least 21 days. PRIMARY OUTCOME MEASURE: 1-year mortality after intensive care unit discharge.

results380 patients (49%) had died after 1 year. One-year mortality for ProVent scores from 0 to 5 were: 15%, 27%, 57%, 66%, 72% and 76%. Area under the receiver operating characteristic curve of the ProVent probability model was 0.76 (95% CI 0.72 to 0.79), calibration intercept was -0.43 (95% CI -0.59 to -0.27) and calibration slope was 0.76 (95% CI 0.62 to 0.89). Model recalibration and extension by inclusion of three additional predictors (total bilirubin concentration, enteral nutrition and surgical status) improved model discrimination and calibration. Decision curve analysis demonstrated that the original ProVent model had negative net benefit, which was avoided with the extended ProVent model.

conclusionsThe ProVent probability model had adequate discrimination but was miscalibrated in our patient cohort and, as such, could potentially be harmful. Use of the extended ProVent score developed by us could possibly alleviate this concern.

Indexed as

Critical IllnessRespiration, ArtificialAdultAustriaBilirubinHumansIntensive Care UnitsRetrospective StudiesBilirubinepidemiologyintensive & critical carestatistics & research methods

Identifiers

PMID36127078
PMCPMC9490575

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.