Desempenho dos ajustes do Trauma and Injury Severity Score (TRISS): revisão integrativa

Domingues, Cristiane de Alencar; Nogueira, Lilia de Souza; Settervall, Cristina Helena Costanti; Sousa, Regina Márcia Cardoso de

doi:10.1590/s0080-623420150000700020

Cited by 32 publications

(43 citation statements)

References 45 publications

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“…injured, especially in the pre hospital environment and initial treatment in the emergency room 5,8,9 .…”

Section: Analysis Of the Revised Trauma Score (Rts) In 200 Victims Ofmentioning

confidence: 99%

“…This is an improvement of Trauma Score (TS), created in 1981, but without the assessment of capillary refill and respiratory effort, difficult variables to be analyzed in practice 10 . RTS assesses three parameters: neurological evaluation by the Glasgow Coma Scale (GCS); hemodynamic evaluation by systolic blood pressure (SBP); and respiratory rate (RR) 8 . Depending on the each parameter's outcome, there is a corresponding value in the RTS scale, able to evaluate the morbidity and mortality of the polytrauma patient and, depending on the severity, indicate the recruitment of more specialized teams, to improve the approach to this type of patient.…”

Section: Analysis Of the Revised Trauma Score (Rts) In 200 Victims Ofmentioning

confidence: 99%

“…Thus, the RTS may vary from 0 to about 8, allowing fractions. The higher the final value, the better the prognosis, the survival probability being possibly known 8 (Table 1).…”

Section: Analysis Of the Revised Trauma Score (Rts) In 200 Victims Ofmentioning

confidence: 99%

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Analysis of the Revised Trauma Score (RTS) in 200 victims of different trauma mechanisms

Alvarez

Razente

Lacerda³

et al. 2016

Rev. Col. Bras. Cir.

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Objective: to analyze the epidemiological profile and mortality associated with the Revised Trauma Score (RTS) in trauma victims treated at a university hospital. Methods: we conducted a descriptive, cross-sectional study of trauma protocols (prospectively collected) from December 2013 to February 2014, including trauma victims admitted in the emergency room of the Cajuru University Hospital. We set up three groups: (G1) penetrating trauma to the abdomen and chest, (G2) blunt trauma to the abdomen and chest, and (G3) traumatic brain injury. The variables we analyzed were: gender, age, day of week, mechanism of injury, type of transportation, RTS, hospitalization time and mortality. Results: we analyzed 200 patients, with a mean age of 36.42 ± 17.63 years, and 73.5% were male. The mean age was significantly lower in G1 than in the other groups (p <0.001). Most (40%) of the visits occurred on weekends and the most common pre-hospital transport service (58%) was the SIATE (Emergency Trauma Care Integrated Service). The hospital stay was significantly higher in G1 compared with the other groups (p <0.01). Regarding mortality, there were 12%, 1.35% and 3.95% of deaths in G1, G2 and G3, respectively. The median RTS among the deaths was 5.49, 7.84 and 1.16, respectively, for the three groups. Conclusion: the majority of patients were young men. RTS was effective in predicting mortality in traumatic brain injury, however failing to predict it in patients suffering from blunt and penetrating trauma.

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“…injured, especially in the pre hospital environment and initial treatment in the emergency room 5,8,9 .…”

Section: Analysis Of the Revised Trauma Score (Rts) In 200 Victims Ofmentioning

confidence: 99%

Section: Analysis Of the Revised Trauma Score (Rts) In 200 Victims Ofmentioning

confidence: 99%

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Analysis of the Revised Trauma Score (RTS) in 200 victims of different trauma mechanisms

Alvarez

Razente

Lacerda³

et al. 2016

Rev. Col. Bras. Cir.

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“…An integrative review of the literature on one of the most widely used trauma severity indexes, the Trauma and Injury Severity Score (TRISS), and its modifications shows the need to adjust the equation's coefficients prior to its application in populations, which differ from the ones that were generated (Domingues, Nogueira, Settervall, & Sousa, 2015). In this sense, it was observed that there was a signifi- Simões & Amorim, 2015).…”

Section: Discussionmentioning

confidence: 99%

Model to estimate the nursing workload required by trauma victims on intensive care unit discharge

et al. 2020

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Aim To validate a model to estimate the nursing workload required by trauma victims on intensive care unit (ICU) discharge. Background Identifying a reliable model of nursing workload measurement that can assist professionals. Methods A prospective cohort study conducted in 2010 (first phase) and 2015 (second phase) with 342 trauma victims admitted into the ICU of four hospitals located in São Paulo, Brazil. The original model was created during the first phase and included the Simplified Acute Physiology Score and New Injury Severity Score variables. Coefficients of determination (R2) were calculated to identify the reliability. Results The original model presented high reliability (R2 = 44%) in the hospital of origin, and unsatisfactory performance (R2 < 4%) in the other institutions. An improvement in R2 was observed after adjusting the coefficients for each hospital. Conclusion For the Nursing Activities Score prediction of survivors for ICU discharge, trauma centres must validate the original model with coefficient adjustments for their population, or preferably derive their own models. Implications for nursing management Although models are useful in predicting discharge of these ICU patients, for treatment continuity after critical care and for organising services, the study showed that they should be evaluated prior to use for nursing management.

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“…Equations based on data from high-income countries do not seem to fit for use in low-income and middle-income countries [5–11]. …”

Section: Introductionmentioning

confidence: 99%

Performance of new adjustments to the TRISS equation model in developed and developing countries

Domingues¹,

Coimbra

Poggetti

et al. 2017

World J Emerg Surg

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BackgroundThe Trauma and Injury Severity Score (TRISS) has been criticized for being based on data from the USA and Canada—high-income countries—and therefore, it may not be applicable to low-income and middle-income countries. The present study evaluated the accuracy of three adjustments to the TRISS equation model (NTRISS-like; TRISS SpO2; NTRISS-like SpO2) in a high-income and a middle-income country to compare their performance when derived and applied to different groups.MethodsThis was a retrospective study of trauma patients admitted to two institutions: a university medical center in São Paulo, Brazil (a middle-income country), and a level 1 university trauma center in San Diego, USA (a high-income country). Patients were admitted between January 1, 2006, and December 31, 2010. The subjects were 2416 patients from Brazil and 8172 patients from the USA. All equations had adjusted coefficients for São Paulo and San Diego and for blunt and penetrating trauma. Receiver operating characteristic (ROC) curves were used to evaluate performance of the models.ResultsRegardless of the population where the equation was generated, it performed better when applied to patients in the USA (AUC from 0.911 to 0.982) compared to patients in Brazil (AUC from 0.840 to 0.852). When the severity was considered and homogenized, the performance of equations were similar to both application in the USA and Brazil.ConclusionsSurvival probability models showed better performance when applied in data collected in the high-income countries (HIC) regardless the country they were derived. The severity is an important factor to consider when using non-adjusted survival probability models for the local population. Adjusted models for severely traumatized patients better predict survival probability in less severely traumatized populations. Other factors besides physiological and anatomical data may impact final outcomes and should be identified in each environment if they are to be used in the development of the trauma care performance improvement process in middle-income countries.

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Desempenho dos ajustes do Trauma and Injury Severity Score (TRISS): revisão integrativa

Cited by 32 publications

References 45 publications

Analysis of the Revised Trauma Score (RTS) in 200 victims of different trauma mechanisms

Analysis of the Revised Trauma Score (RTS) in 200 victims of different trauma mechanisms

Model to estimate the nursing workload required by trauma victims on intensive care unit discharge

Performance of new adjustments to the TRISS equation model in developed and developing countries

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