Evidence map›Paper›PMID 39070866›Full record

ArticleJournal of emergencies, trauma, and shock

Transfusion Practices in Severely Injured Patients at a Level 1 Trauma Center.

Aparna Krishna, Arulselvi Subramanian, Rahul Chaurasia, Tej Prakash Sinha, Shivam Pandey, Rajesh Malhotra

Erratum issuedAbstract read
In one paragraph

Article in Journal of emergencies, trauma, and shock. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Aparna KrishnaDepartment of Transfusion Medicine, Jai Prakash Narayan Apex Trauma Center, AIIMS, New Delhi, India.
Arulselvi SubramanianDepartment of Laboratory Medicine, Jai Prakash Narayan Apex Trauma Center, AIIMS, New Delhi, India.
Rahul ChaurasiaDepartment of Transfusion Medicine, Jai Prakash Narayan Apex Trauma Center, AIIMS, New Delhi, India.
Tej Prakash SinhaDepartment of Emergency Medicine, Jai Prakash Narayan Apex Trauma Center, AIIMS, New Delhi, India.
Shivam PandeyDepartment of Biostatistics, AIIMS, New Delhi, India.
Rajesh MalhotraDepartment of Orthopedics, Jai Prakash Narayan Apex Trauma Center, AIIMS, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Acute trauma resuscitation is challenging and disorganized in low- and middle-income countries as there is lack of evidence-based transfusion practices with respect to ratio, volume, trigger, cutoff points for various triggers. This study aims to study the patterns of blood use in various mechanisms of injury, by interfacility transfer status and define triggers for transfusion of various blood components. Prospective observational study, emergency department of level 1 trauma center (August 2017-August 2018). Methods: Demographic, injury, clinical, laboratory, transfusion characteristics, and patient outcomes were collected from electronic hospital records and transfusion service records. We used multivariate logistic regression to identify triggers of transfusion of red blood cells, plasma, platelets (PLTs), cryoprecipitate, and mortality predictors. Results: Among 986 severely injured patients 80% were males, 92% had blunt injuries and commonest trauma was Head. The median length of intensive care unit stay and hospital stay were more in a referred group. Patients brought to center directly received more massive transfusions (56, 13.05% vs. 48, 8.62%). Railway track injuries received the most total median packed red blood cells (PRBCs) units in both groups. The triggers for various blood product transfusions include: Hematocrit < 32.08 for PRBC, PT >16.9 s for plasma, PLT count <130 lakhs for platelets, MAP <89.7 mmHg and PT >18.2 s for cryoprecipitate. Conclusion: Railway track injuries with inferior extremity injuries required maximum transfusion requirements and were a trigger for PRBC, plasma, PLTs, and cryoprecipitate. Smartphone-based apps and transfusion prediction models can be framed based on the triggers and cut points.

Indexed as

Mortalityoutcomeseverely injuredtransfusion triggerstrauma transfusion

Identifiers

PMID39070866
PMCPMC11279493

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.