Evidence map›Paper›PMID 33712248›Full record

Observational studyBrazilian journal of anesthesiology (Elsevier)

Predictors of mortality of trauma patients admitted to the ICU: a retrospective observational study☆.

Matthaios Papadimitriou-Olivgeris, Eleftheria Panteli, Kyriaki Koutsileou, Maria Boulovana, Anastasia Zotou, Markos Marangos, Fotini Fligou

Abstract readObservational Study
In one paragraph

Observational study in Brazilian journal of anesthesiology (Elsevier). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

7 authors.

Matthaios Papadimitriou-OlivgerisUniversity of Patras, School of Medicine, Department of Anaesthesiology and Intensive Care Medicine, Patras, Greece; University Hospital of Lausanne, Department of Infectious Diseases, Lausanne, Switzerland; University of Patras, School of Medicine, Division of Infectious Diseases, Patras, Greece. Electronic address: Matthaios.Papadimitriou-Olivgeris@chuv.ch.
Eleftheria PanteliUniversity of Patras, School of Medicine, Department of Anaesthesiology and Intensive Care Medicine, Patras, Greece.
Kyriaki KoutsileouUniversity of Patras, School of Medicine, Department of Anaesthesiology and Intensive Care Medicine, Patras, Greece.
Maria BoulovanaUniversity of Patras, School of Medicine, Department of Anaesthesiology and Intensive Care Medicine, Patras, Greece.
Anastasia ZotouUniversity of Patras, School of Medicine, Department of Anaesthesiology and Intensive Care Medicine, Patras, Greece.
Markos MarangosUniversity of Patras, School of Medicine, Division of Infectious Diseases, Patras, Greece.
Fotini FligouUniversity of Patras, School of Medicine, Department of Anaesthesiology and Intensive Care Medicine, Patras, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesWorldwide, trauma is one of the leading causes of morbidity and mortality. The aim of the present study is to identify the predictors of mortality of trauma patients requiring Intensive Care Unit (ICU) admission.

methodsThis retrospective study was conducted in the ICU of our institution in Greece during a six-year period (2010-215).

resultsAmong 326 patients, trauma was caused by road traffic accidents in .5%, followed by falls (21.1%) and violence (7.4%). Thirty-day mortality was 27.3%. Multivariate analysis showed that higher New Injury Severity Score (NISS), severe head/neck injury, acute kidney injury, septic shock and hemorrhagic shock were significantly associated with mortality while higher Revised Injury Severity Classification, version II (RISC II) and the administration of enteral nutrition were associated with survival. NISS showed the higher accuracy in predicting 30-day mortality followed by RISC II, while scores based only in physiological variables had lower predictive ability.

conclusionsIncreased mortality was strongly associated with the severity of the injury upon admission. Traumatic brain injury, septic shock and acute kidney injury have also been found among the strongest predictors of mortality. NISS can be considered as a statistically superior score in predicting mortality of severely injured patients.

Indexed as

HospitalizationIntensive Care UnitsHumansInjury Severity ScoreLength of StayRetrospective StudiesNew Injury Severity Score (NISS)Revised Injury Severity Classification, version II (RISC II)Road traffic accidentSepsisTraumatic brain injury

Identifiers

PMID33712248
PMCPMC9523669

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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.