Evidence map›Paper›PMID 34901468›Full record

ArticleTrauma surgery & acute care open2021

Development of a delirium predictive model for adult trauma patients in an emergency and critical care center: a retrospective study.

Ayaka Matsuoka, Toru Miike, Mariko Miyazaki, Taku Goto, Akira Sasaki, Hirotaka Yamazaki, Moe Komaki, Masahiro Higuchi, Kosuke Mori, Kota Shinada and 12 more

Open access · goldAbstract read
In one paragraph

Article in Trauma surgery & acute care open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors at 1 institution in 1 country.

Ayaka MatsuokaEmergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan.ORCID 0000-0003-4383-9132
Toru MiikeEmergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan.
Mariko MiyazakiEmergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan.
Taku GotoEmergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan.
Akira SasakiEmergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan.
Hirotaka YamazakiEmergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan.
Moe KomakiEmergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan.
Masahiro HiguchiEmergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan.
Kosuke MoriEmergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan.
Kota ShinadaEmergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan.
Kento NakayamaEmergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan.
Ryota SakuraiEmergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan.
Miho AsahiEmergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan.
Akiko FutamiEmergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan.
Kunimasa YoshitakeEmergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan.
Shougo NarumiEmergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan.
Mayuko KobaEmergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan.
Hiroyuki KoamiEmergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan.
Atsushi KawaguchiEducation and Research Center for Community Medicine, Saga University, Saga, Japan.
Toru Hirachi MurakawaPsychiatry, Faculty of Medicine, Saga University Hospital, Saga City, Japan.
Akira MonjiPsychiatry, Faculty of Medicine, Saga University Hospital, Saga City, Japan.
Yuichirou SakamotoEmergency and Critical Care Medicine, Saga University Hospital, Saga City, Japan.
Saga University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDelirium has been shown to prolong the length of intensive care unit stay, hospitalization, and duration of ventilatory control, in addition to increasing the use of sedatives and increasing the medical costs. Although there have been a number of reports referring to risk factors for the development of delirium, no model has been developed to predict delirium in trauma patients at the time of admission. This study aimed to create a scoring system that predicts delirium in trauma patients.

methodsIn this single-center, retrospective, observational study, trauma patients aged 18 years and older requiring hospitalization more than 48 hours were included and divided into the development and validation cohorts. Univariate analysis was performed in the development cohort to identify factors significantly associated with prediction of delirium. The final scoring system for predicting delirium was developed using multivariate analysis and internal validation was performed.

resultsOf the 308 patients in the development cohort, 91 developed delirium. Clinical Frailty Score, fibrin/fibrinogen degradation products, low body mass index, lactate level, and Glasgow Coma Scale score were independently associated with the development of delirium. We developed a scoring system using these factors and calculated the delirium predictive score, which had an area under the curve of 0.85. In the validation cohort, 46 of 206 patients developed delirium. The area under the curve for the validation cohort was 0.86, and the calibration plot analysis revealed the scoring system was well calibrated in the validation cohort. DISCUSSION: This scoring system for predicting delirium in trauma patients consists of only five risk factors. Delirium prediction at the time of admission may be useful in clinical practice. LEVEL OF EVIDENCE: Prognostic and epidemiological, level III.

Indexed as

adultfrailtymultiple trauma

Identifiers

PMID34901468
PMCPMC8634003
OpenAlexW3217789832

What OpenQuestion holds

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LicenceCC BY-NC
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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.