Evidence map›Paper›PMID 38819683›Full record

ArticleEuropean journal of trauma and emergency surgery : official publication of the European Trauma Society2024

Shock index to predict outcomes in patients with trauma following traffic collisions: a retrospective cohort study.

Te-Kai Liao, Chung-Han Ho, Ying-Jia Lin, Li-Chin Cheng, Hsuan-Yi Huang

Registry-linked trialAbstract read
In one paragraph

Article in European journal of trauma and emergency surgery : official publication of the European Trauma Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06551350 (Retrospective Assessment of Referral of a Major Trauma Patient in Val-d'Oise), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

NCT06551350 recruitingnot on this map

Retrospective Assessment of Referral of a Major Trauma Patient in Val-d'Oise

TypeobservationalSponsorHôpital NOVORan2024 to 2025Enrolled461ConditionsTrauma InjuryArmsData Collection
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

5 authors.

Te-Kai LiaoDivision of Traumatology, Department of Surgery, Chi Mei Medical Center, No. 901, Zhonghua Road, Yongkang District, 710, Tainan, Taiwan.
Chung-Han HoDepartment of Medicine Research, Chi Mei Medical Center, Tainan, Taiwan.
Ying-Jia LinDepartment of Medicine Research, Chi Mei Medical Center, Tainan, Taiwan.
Li-Chin ChengDivision of Traumatology, Department of Surgery, Chi Mei Medical Center, No. 901, Zhonghua Road, Yongkang District, 710, Tainan, Taiwan.
Hsuan-Yi HuangDivision of Traumatology, Department of Surgery, Chi Mei Medical Center, No. 901, Zhonghua Road, Yongkang District, 710, Tainan, Taiwan. crazydiamand@yahoo.com.tw.ORCID http://orcid.org/0009-0006-1955-948X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTaiwan, which has a rate of high vehicle ownership, faces significant challenges in managing trauma caused by traffic collisions. In Taiwan, traffic collisions contribute significantly to morbidity and mortality, with a high incidence of severe bleeding trauma. The shock index (SI) and the modified shock index (MSI) have been proposed as early indicators of hemodynamic instability. In this study, we aimed to assess the efficacy of SI and MSI in predicting adverse outcomes in patients with trauma following traffic collisions.

methodsThis retrospective cohort study was conducted at Chi Mei Hospital from January 2015 to December 2020. The comprehensive analysis included 662 patients, with data collected on vital signs and outcomes such as mortality, blood transfusion, emergent surgical intervention (ESI), transarterial embolization (TAE), and intensive care unit (ICU) admission. Optimal cutoff points for SI and MSI were identified by calculating the Youden index. Logistic regression analysis was used to assess outcomes, adjusting for demographic and injury severity variables.

resultsAn SI threshold of 1.11 was associated with an increased risk of mortality, while an SI of 0.84 predicted the need for blood transfusion in the context of traffic collisions. Both SI and MSI demonstrated high predictive power for mortality and blood transfusion, with acceptable accuracy for TAE, ESI, and ICU admission. Logistic regression analyses confirmed the independence of SI and MSI as risk factors for adverse outcomes, thus, providing valuable insights into their clinical utility.

conclusionsSI and MSI are valuable tools for predicting mortality and blood transfusion needs in patients with trauma due to traffic collisions. These findings advance the quality of care for patients with trauma during their transition from the emergency room to the ICU, facilitating prompt and reliable decision-making processes and improving the care of patients with trauma.

Indexed as

Accidents, TrafficWounds and InjuriesAdultAgedBlood TransfusionFemaleHumansInjury Severity ScoreMaleMiddle AgedRetrospective StudiesShockTaiwanPatient outcomesShock indexTraffic collisionYouden index

Identifiers

PMID38819683
PMCPMC11599283

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.