Evidence map›Paper›PMID 36646943›Full record

ArticleArchives of orthopaedic and trauma surgery2023

A recalibrated prediction model can identify level-1 trauma patients at risk of nosocomial pneumonia.

T Kobes, A M Terpstra, F F A IJpma, L P H Leenen, R M Houwert, K J P van Wessem, R H H Groenwold, M C P M van Baal

Open access · hybridAbstract read
In one paragraph

Article in Archives of orthopaedic and trauma surgery, 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
0.9field-weighted citation impact, top 30% 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, 4 citations in OpenAlex.

  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 at 4 institutions in 1 country.

T KobesDepartment of Trauma Surgery, University Medical Center Utrecht, PO Box 85500, 3508GA, Utrecht, The Netherlands. t.kobes-2@umcutrecht.nl.ORCID http://orcid.org/0000-0003-4618-3714
A M TerpstraRegional Trauma Network, University Medical Center Utrecht, Utrecht, The Netherlands.
F F A IJpmaDepartment of Trauma Surgery, University Medical Center Groningen, Groningen, The Netherlands.ORCID http://orcid.org/0000-0002-9420-2732
L P H LeenenDepartment of Trauma Surgery, University Medical Center Utrecht, PO Box 85500, 3508GA, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0001-8385-1801
R M HouwertDepartment of Trauma Surgery, University Medical Center Utrecht, PO Box 85500, 3508GA, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0003-3497-659X
K J P van WessemDepartment of Trauma Surgery, University Medical Center Utrecht, PO Box 85500, 3508GA, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0002-1166-0990
R H H GroenwoldDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID http://orcid.org/0000-0001-9238-6999
M C P M van BaalDepartment of Trauma Surgery, University Medical Center Utrecht, PO Box 85500, 3508GA, Utrecht, The Netherlands. m.c.p.vanbaal-5@umcutrecht.nl.
University Medical Center Utrecht · NLUtrecht University · NLLeiden University Medical Center · NLUniversity Medical Center Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNosocomial pneumonia has poor prognosis in hospitalized trauma patients. Croce et al. published a model to predict post-traumatic ventilator-associated pneumonia, which achieved high discrimination and reasonable sensitivity. We aimed to externally validate Croce's model to predict nosocomial pneumonia in patients admitted to a Dutch level-1 trauma center. MATERIALS AND

methodsThis retrospective study included all trauma patients (≥ 16y) admitted for > 24 h to our level-1 trauma center in 2017. Exclusion criteria were pneumonia or antibiotic treatment upon hospital admission, treatment elsewhere > 24 h, or death < 48 h. Croce's model used eight clinical variables-on trauma severity and treatment, available in the emergency department-to predict nosocomial pneumonia risk. The model's predictive performance was assessed through discrimination and calibration before and after re-estimating the model's coefficients. In sensitivity analysis, the model was updated using Ridge regression.

results809 Patients were included (median age 51y, 67% male, 97% blunt trauma), of whom 86 (11%) developed nosocomial pneumonia. Pneumonia patients were older, more severely injured, and underwent more emergent interventions. Croce's model showed good discrimination (AUC 0.83, 95% CI 0.79-0.87), yet predicted probabilities were too low (mean predicted risk 6.4%), and calibration was suboptimal (calibration slope 0.63). After full model recalibration, discrimination (AUC 0.84, 95% CI 0.80-0.88) and calibration improved. Adding age to the model increased the AUC to 0.87 (95% CI 0.84-0.91). Prediction parameters were similar after the models were updated using Ridge regression.

conclusionThe externally validated and intercept-recalibrated models show good discrimination and have the potential to predict nosocomial pneumonia. At this time, clinicians could apply these models to identify high-risk patients, increase patient monitoring, and initiate preventative measures. Recalibration of Croce's model improved the predictive performance (discrimination and calibration). The recalibrated model provides a further basis for nosocomial pneumonia prediction in level-1 trauma patients. Several models are accessible via an online tool. LEVEL OF EVIDENCE: Level III, Prognostic/Epidemiological Study.

Indexed as

Cross InfectionHealthcare-Associated PneumoniaPneumoniaFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesExternal validationNosocomial pneumoniaPrediction modelRecalibrationTrauma patients

Identifiers

PMID36646943
PMCPMC10374678
OpenAlexW4316653362

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.