Trauma severity predictors

This review aimed to determine which are the indexes for early detection and evaluation of clinical and physiological deterioration of traumatized patients. A Scoping Review according to the methods proposed by Joanna Briggs Institute (JBI) was performed from February 2018 to December 2018 on LILACS...

Full description

Saved in:
Bibliographic Details
Published inMedicina (Sao Paulo. 197?) Vol. 56; no. 1
Main Authors Senju, André Luís Antoneli, Machado-Kayzuka, Giovanna Cristina Conti, Sabage, Luís Expedito, Negrato, Carlos Antonio, Nardi, Aguinaldo César, Cotta Filho, Cezar Kayzuka, Mazzo, Alessandra
Format Journal Article
LanguageEnglish
Published Universidade de São Paulo 14.04.2023
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:This review aimed to determine which are the indexes for early detection and evaluation of clinical and physiological deterioration of traumatized patients. A Scoping Review according to the methods proposed by Joanna Briggs Institute (JBI) was performed from February 2018 to December 2018 on LILACS (Literatura Latino-Americana e do Caribe em Ciências da Saúde), National Library of Medicine (PubMed), and SCOPUS databases. Sixty-two studies were included, of which 43 evaluated patients with general trauma. A variety of physiological variables, such as Glasgow Coma Score, Glucose, Days in the Intensive Care Unit, Lactate, and predictor indexes - Injury Severity Score (ISS), Trauma Injury Severity Score (TRISS), Revisited Trauma Score (RTS), and APACHE II were identified. The values observed in the studies among patients were compared to the ones determined by the basic literature, being called Critical Values (CV). The group of gravity indexes, besides clinical and regulatory protocols, found in this review are the solidification of the healthcare process involving the traumatized patient’s responses to the actions of the healthcare team. The analysis of these indexes must be emphasized to determine, with greater reliability, the prognosis of the patient. With these data, it may be possible to effectively predict mortality rates.
ISSN:0076-6046
2176-7262
DOI:10.11606/issn.2176-7262.rmrp.2023.203111