Evidence map›Paper›PMID 40511758›Full record

ArticleUlusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES2025

Evaluation of peripheral perfusion index in predicting blood product need for trauma patients.

Ertuğ Dinçer, Ayhan Aköz, Ali Duman, Yunus Emre Özlüer, Ahmet Melih Savaş, Onur Cem Büyüktaş

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Article in Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ertuğ DinçerDepartment of Emergency Medicine, Bilecik Training and Research Hospital, Bilecik-Türkiye.
Ayhan AközDepartment of Emergency Medicine, Aydın Adnan Menderes University Faculty of Medicine, Aydın-Türkiye.
Ali DumanDepartment of Emergency Medicine, Aydın Adnan Menderes University Faculty of Medicine, Aydın-Türkiye.
Yunus Emre ÖzlüerDepartment of Emergency Medicine, Aydın Adnan Menderes University Faculty of Medicine, Aydın-Türkiye.
Ahmet Melih SavaşDepartment of Emergency Medicine, Aydın Adnan Menderes University Faculty of Medicine, Aydın-Türkiye.
Onur Cem BüyüktaşDepartment of Emergency Medicine, Aydın Adnan Menderes University Faculty of Medicine, Aydın-Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly detection of hemorrhagic shock and the need for blood product replacement in trauma patients is crucial. The present study aimed to evaluate the effectiveness of peripheral perfusion index (PPI) measurements in determining the severity of hemorrhagic shock and predicting the need for blood product replacement in trauma patients.

methodsA total of 43 patients who presented to the emergency department due to trauma and were diagnosed with hemorrhagic shock according to the Advanced Trauma Life Support (ATLS) guidelines were included in this prospective cross-sectional study. Demographic characteristics, vital signs, laboratory parameters, PPI values, ATLS shock classification, and blood product replacement status were evaluated.

resultsThe median age of the patients was 35 years (range: 18-94), and 12 (27.9%) were female. The median PPI value was 1.30 (range: 0.15-10.00), and 23 (53.5%) patients received blood product replacement. PPI values were found to be statistically significantly lower in patients who received blood product replacement compared to those who did not. The PPI values of ATLS Class I patients were statistically significantly higher than those of ATLS Class III and IV patients. Among patients in the Class II shock group, the PPI value was 0.75 (range: 0.30-4.70) in patients who received blood product replacement and 2.20 (range: 1.10-10.00) in those who did not, indicating a statistically significant difference between the groups. According to the receiver operating characteristic curve analysis performed to determine the effectiveness of PPI measurement in predicting the need for blood product replacement in Class II shock patients, the cut-off value was 1.2.

conclusionThe findings of this study demonstrated that PPI values were lower in patients who required blood product replacement due to traumatic shock compared to those who did not. These results suggest that PPI measurements may serve as an effective assessment method for predicting the need for blood product replacement, particularly in patients in the Class II shock group according to the ATLS shock classification.

Indexed as

Perfusion IndexShock, HemorrhagicWounds and InjuriesAdolescentAdultAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMiddle AgedProspective StudiesYoung Adult

Identifiers

PMID40511758
PMCPMC12183478

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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.