Literature DB >> 32074207

Risk factors for death of trauma patients admitted to an Intensive Care Unit.

Maicon Henrique Lentsck1,2, Rosana Rosseto de Oliveira1,3, Ligiana Pires Corona4, Thais Aidar de Freitas Mathias1.   

Abstract

OBJECTIVE: To analyze the risk factors for death of trauma patients admitted to the intensive care unit (ICU).
METHOD: Retrospective cohort study with data from medical records of adults hospitalized for trauma in a general intensive care unit. We included patients 18 years of age and older and admitted for injuries. The variables were grouped into levels in a hierarchical manner. The distal level included sociodemographic variables, hospitalization, cause of trauma and comorbidities; the intermediate, the characteristics of trauma and prehospital care; the proximal, the variables of prognostic indices, intensive admission, procedures and complications. Multiple logistic regression analysis was performed.
RESULTS: The risk factors associated with death at the distal level were age 60 years or older and comorbidities; at intermediate level, severity of trauma and proximal level, severe circulatory complications, vasoactive drug use, mechanical ventilation, renal dysfunction, failure to perform blood culture on admission and Acute Physiology and Chronic Health Evaluation II.
CONCLUSION: The identified factors are useful to compose a clinical profile and to plan intensive care to avoid complications and deaths of traumatized patients.

Entities:  

Year:  2020        PMID: 32074207      PMCID: PMC7021481          DOI: 10.1590/1518-8345.3482.3236

Source DB:  PubMed          Journal:  Rev Lat Am Enfermagem        ISSN: 0104-1169


Introduction

Trauma has become international concern due to thousands of deaths( 1 ). In 2013 alone, about 4.8 million people died from an injury( 2 ). In Brazil, trauma accounts for 12.4% of all deaths and is the leading cause of death among young people under 44 years of age( 3 ), and is heterogeneous in its causes, types of injuries, severity and risk factors. This heterogeneity influences the clinical prognosis and requires the use of a comprehensive care system, which in turn depends on different clinical and surgical structures, organizations and specialties( 4 ). Trauma management requires a multidisciplinary approach that begins at the trauma site where prehospital care (PHC) plays a key role. After this phase, patient stabilization assistance should be performed in an outpatient or equipped hospital setting. The patient will be kept under observation in a hospital environment, especially intensive, which prioritizes the care of the most life-threatening traumatized( 5 ). In order to know the profile of morbidity and mortality due to trauma, most research explores, mainly, APH information and data( 6 - 7 ), even if this condition requires hospitalization and intensive care units (ICU)( 8 ). After the initial trauma care, either by accident or violence, in the period between the occurrence of trauma, hospital admission and the ICU stay, several factors remain associated with the death of the most severe cases. Early identification of factors associated with death from ICU trauma, which consider severity and trauma care at all stages of care, may have a positive impact on patient prognosis( 5 ). As already identified, the increase in teams and the quality of PHC; environmental and vehicular safety( 9 - 10 ); improvement of techniques and diagnostics such as computed tomography, patient management and treatment strategies; the use of transfusion protocols using plasma, platelets, red blood cell concentrate and tranexamic acid( 11 ) and integrated cooperation between the components of the trauma care system and the prevention of trauma among the population( 10 )) are strategies that have been aimed at reducing the mortality of trauma victims admitted to the ICU. The objective of this study, considering the increase of accidents and violence in Brazil that directly impact the demand for specialized hospital beds, to analyze the risk factors for the death of trauma patients admitted to the ICU. This study was guided by the hypothesis that characteristics of the individual, type and severity of trauma, prehospital care and hospital care are associated with death. Therefore, analyzing the determinants of death in traumatized ICU patients becomes especially important when these determinants are organized in a hierarchical manner at different levels of determination. It is believed that this analysis strategy can contribute to the knowledge of factors associated with death and, above all, to monitor and direct patient care with the adoption of qualified interdisciplinary and inter-professional care.

Method

Retrospective cohort study with data from medical records of adult individuals, 18 years of age and over, hospitalized for trauma in ICU. The ICU under study is general, with ten beds, in a referral hospital for approximately 500,000 inhabitants located in the mesoregion of the center of southern Paraná( 12 ). A total of 569 hospitalizations from January 1, 2013 to December 31, 2016 were selected and identified in the admission book with reasons for hospitalization of any injury due to external cause. The initial selection criteria were hospitalizations with mention of trauma, external cause and procedure related to trauma care. After analysis of each hospitalization, the study excluded hospitalizations related to procedures not related to trauma management (101), with incomplete records (31) and occurring in children under 18 years (9). Trauma related to burns (3) and poisoning (8) was also excluded, in order to make the sample homogeneous, since these are considered specific types of trauma, requiring differentiated intensive care. The study sample totaled 417 individuals. Data was collected primarily in the electronic medical records in consultation with all documents such as clinical evolution, medical and nursing prescriptions, control and annotations of procedures, results of laboratory and imaging tests, prehospital and Hospital Infection Control Service records (HICS). In addition, the physical medical record was accessed. The determinants for ICU trauma death were classified into three levels: distal, intermediate and proximal. The insertion of the possible determinants in the levels followed an order previously established by a theoretical model defined “a priori”, based on the literature and on possible relationships( 5 , 13 ) It is considered a strategy to deal with all conceptually related variables and, therefore, has the potential to assist in the identification and analysis of risk factors. Distal level refers to variables that are farthest from the outcome and act indirectly through proximal determinants to affect the risk of death from trauma. At this level, the following variables were considered available in the chart: sociodemographic( 14 ) (gender, age, place of residence); of hospitalization (type of financing, day of week and time of admission); cause of trauma( 15 ) (work accident or suicide attempt) and Charlson Comorbidity Index - (CCI)( 13 - 14 ). The intermediate level contains variables that broaden the understanding of proximal determinants and value the link between trauma information and its assistance before definitive ICU treatment. For this level, the characteristics of the trauma were grouped( 13 - 14 )) (Revised Trauma Score - RTS, Injury Severity Score - ISS, New Injury Severity Score - NISS; number of affected body regions and most severe body region; type of trauma; sanitary transport and external cause) and prehospital care (PHC)( 5 , 7 ) (basic and advanced respiratory and circulatory supports, vasoactive drugs and ethyl breath). The proximal level consisted of determinants closely linked to death by trauma and organized into groups of variables: prognostic indices measured within the first 24 hours( 16 ) (Acute Physiology And Chronic Health Evaluation - APACHE II; Simplified Acute Physiology Score - SAPS II; Logistic Organ Dysfunction System - LODS II; Sepsis-Related Organ Failure Score - SOFA); ICU procedures( 17 - 18 ) (administration of biological substances; red blood cell concentrate within the first 24 hours; enteral nutrition; total parenteral nutrition; vasoactive drugs and use of mechanical ventilation); characteristics of ICU admission( 17 ) (time interval between admission and ICU and surgical programming) and complications during ICU stay( 19 ) (Figure 1).
Figure 1

Hierarchical theoretical model for the determination of death in trauma patients hospitalized in ICU††. Guarapuava, PR, Brazil, 2018

*RTS = Revised Trauma Score; †ISS = Injury Severity Score; ‡NISS = New Injury Severity Score; §APACHE = Acute Physiology and Chronic Health Evaluation; ||SAPS = Simplified Acute Physiology Score; ¶LODS = Logistic Organ Dysfunction System; **SOFA = Sepsis = Related Organ Failure Score; ††ICU – Intensive Care Unit

Hierarchical theoretical model for the determination of death in trauma patients hospitalized in ICU††. Guarapuava, PR, Brazil, 2018

*RTS = Revised Trauma Score; †ISS = Injury Severity Score; ‡NISS = New Injury Severity Score; §APACHE = Acute Physiology and Chronic Health Evaluation; ||SAPS = Simplified Acute Physiology Score; ¶LODS = Logistic Organ Dysfunction System; **SOFA = Sepsis = Related Organ Failure Score; ††ICU – Intensive Care Unit The following were considered ICU complications: severe circulatory (cardiopulmonary arrest - CPA, deep venous thrombosis and acute myocardial infarction - AMI); severe respiratory disorders (pulmonary embolism and acute respiratory distress syndrome - ARDS); cardiological, hematological, hepatic, neurological, renal and pulmonary dysfunctions measured by LODS within the first 24 hours; renal failure during hospitalization; unplanned intubation; infections (pulmonary, bloodstream, urinary tract and surgical site); pressure ulcer; sepsis; infection on admission and chronic intensive hospitalization (Chronic Critical Disease - CCD). Multiple logistic regression analysis was performed with hierarchical entry of the variables, in levels, in the following order: the distal ones, which condition all the others; the intermediate conditions, which condition those of the lower level, and the proximal ones, which directly predict death (Figure 1). This analysis is used to explain the relationship between variables in models whose set of empirical propositions already indicates the strength and direction of the relationship and allows to identify whether the association is direct or mediated by the effect of other variables( 20 ). The multiple logistic regression model, with the inclusion of the stepwise forward variables, considered those with p-value <0.20 in the univariate analysis, and the variables with p <0.05 or that fit the model remained in the final model. The magnitude of the associations was estimated by Odds Ratio (OR), with 95% confidence intervals as a measure of precision. The adequacy of the final model was verified from the deviance tests, Hosmer-Lemeshow, and the collinearity of the variables was tested with the variance inflation factor (VIF). Statistical analysis was performed using Stata 12.0 software. The presentation of the models followed the steps of insertion of the variables of each level. Model A shows associations of sociodemographic factors (level 1) and death; model B shows associations of sociodemographic factors, trauma characteristics and PHC and death (levels 1 and 2) and model C shows associations of sociodemographic factors, trauma characteristics and PHC and characteristics of ICU care (levels 1, 2 and 3) and death, with its respective adjustments. The study was approved by the Research Ethics Committee Involving Human Beings of the State University of Maringá (REC/UEM protocol nº 1.835.356 / 2016).

Results

The ICU trauma mortality rate was 28.2%. Tables 1, 2 and 3 show the univariate analyzes with the associations included in the multiple model (p <0.20). Death was associated with age from 40 to 59 years and 60 years and over, Charlson’s comorbidity index (distal level variables) and penetrating trauma, falls, severity of trauma (estimated by RTS, ISS and NISS), procedures performed at the time of prehospital care (advanced respiratory support, advanced circulatory support) and the presence of ethyl breath (intermediate level variables) (Table 1).
Table 1

Univariate analysis of the association of the variables distal, intermediate levels and death from trauma in ICU admissions* (n-417). Guarapuava, PR, Brazil, 2018

VariablesDeathDischarge  P value
n%N%OR[]
Level 1 - distal      
Age      
18 to 395849,221170,6 Ref[].
40 to 593529,76521,71,950,009
60 and more2521,2237,73,95<0,001
Type of funding      
UHS[§] 11496,627893,02,150,168
Not UHS[§] 43,4217,0 Ref[].
CCI[||] (mean and standard deviation)0,91,90,21,01,35<0,001
Level 2 - intermediary      
External cause      
Agressions1916,17926,4 Ref[].
Traffic accidents7160,218361,21,610,101
Falls2319,5299,73,290,002
Other external causes54,282,72,590,126
Type of trauma      
Blunt10286,424381,3 Ref[].
Penetrating1613,65618,71,460,210
Advanced Respiratory Support      
No3126,33612,0 Ref[].
Yes8773,726388,00,38<0,001
Advanced Circulatory Support      
No8269,516454,8 Ref[].
Yes3630,513545,20,530,007
Alcohol breath      
No10891,524983,3 Ref[].
Yes108,55016,70,460,034
Vasoactive drugs      
No11395,829598,7 Ref[].
Yes54,241,33,260,082
RTS[] (mean and standard deviation)9,22,210,51,80,72<0,001
ISS** (mean and standard deviation)21,08,615,88,21,07<0,001
NISS[††] (mean and standard deviation)27,811,921,012,21,04<0,001

ICU = Intensive Care Unit;

OR = Odds Ratio;

Ref. = Reference;

SUS = Unified Health System;

ICC = Charlson Comorbidity Index;

RTS = Revised Trauma Score;

ISS = Injury Severity Score;

NISS = New Injury Severity Score

Table 2

Univariate analysis of association of variables, procedures and prognostic indices of proximal level and death from trauma in ICU admissions* (n-417). Guarapuava, PR, Brazil, 2018

Level 3 - proximalDeathDischarge P value
n%n%OR[]
ICU Procedures*       
Vasoactive drugs      
No3630,525384,6 Ref[].
Yes8269,54615,412,52<0,001
Mechanical ventilation      
No119,315752,5 Ref[].
Yes10790,714247,510,75<0,001
Total parenteral nutrition      
No10689,829498,3 Ref[].
Yes1210,251,76,65<0,001
Biological substances      
No3933,115752,5 Ref[].
Yes7966,914247,52,23<0,001
Red blood cell concentrate      
No6655,922073,6 Ref[].
Yes5244,17926,42,190,001
Enteral Nutrition      
No7765,322474,9 Ref[].
Yes4134,77525,11,590,048
Prognostic Indexes      
APACHE[§] II (mean and standard deviation)17,97,710,06,01,17<0,001
SAPS[||] II (mean and standard deviation)41,915,824,414,11,07<0,001
LODS[] (mean and standard deviation)6,73,73,52,91,33<0,001
SOFA** (mean and standard deviation)5,73,02,82,51,42<0,001

ICU = Intensive Care Unit;

OR = Odds Ratio;

Ref. = Reference;

APACHE = Acute Physiology and Chronic Health Evaluation;

SAPS = Simplified Acute Physiology Score;

ODS = Logistic Organ Dysfunction System;

SOFA = Sepsis-Related Organ Failure Score

Table 3

Univariate analysis of the association of proximal level complications and death from trauma in ICU admissions* (n-417). Guarapuava, PR, Brazil, 2018

Level 3 - proximalDeathDischarge  P value
N%n%OR[]
ICU Complications*       
Severe circulatory complications      
No9076,329297,7 Ref[].
Yes2823,772,312,97<0,001
Severe respiratory complications      
No10689,829297,7 Ref[].
Yes1210,272,34,720,001
Acute Kidney Failure      
No10387,329398,0 Ref[].
Yes1512,762,02,60<0,001
Pulmonary dysfunction      
No4134,720869,6 Ref[].
Yes7765,39130,44,29<0,001
Renal dysfunction      
No4941,519464,9 Ref[].
Yes6958,510535,12,60<0,001
Neurological dysfunction      
No3025,412240,8 Ref[].
Yes8874,617759,22,020,004
Cardiological dysfunction      
No8269,524180,6 Ref[].
Yes3630,55819,41,820,015
Hepatic dysfunction      
No4840,715150,5 Ref[].
Yes7059,314849,51,480,071
Sepsis      
No11093,229498,3 Ref[].
Yes86,851,74,270,012
Unplanned Intubation      
No9580,527391,3 Ref[].
Yes2319,5268,72,540,003
Pressure ulcer      
No10084,727491,6 Ref[].
Yes1815,3258,41,970,040
Chronic critical illness      
No10185,627592,0 Ref[].
Yes1714,4248,01,920,052
Infection on admission      
No6555,118862,9 Ref[].
Yes54,293,01,600,410
Exam not carried out4840,710234,11,360,174

ICU = Intensive Care Unit;

OR = Odds Ratio;

Ref. = Reference

ICU = Intensive Care Unit; OR = Odds Ratio; Ref. = Reference; SUS = Unified Health System; ICC = Charlson Comorbidity Index; RTS = Revised Trauma Score; ISS = Injury Severity Score; NISS = New Injury Severity Score ICU = Intensive Care Unit; OR = Odds Ratio; Ref. = Reference; APACHE = Acute Physiology and Chronic Health Evaluation; SAPS = Simplified Acute Physiology Score; ODS = Logistic Organ Dysfunction System; SOFA = Sepsis-Related Organ Failure Score ICU = Intensive Care Unit; OR = Odds Ratio; Ref. = Reference Among the proximal level variables, death was associated with patient severity indexes (APACHE II, SAPS II, LODS and SOFA), vasoactive drugs, mechanical ventilation, total parenteral nutrition, biological substances, red blood cell concentrate and enteral nutrition (Table 2). Of the complications in the ICU, severe circulatory and respiratory, renal, pulmonary, neurological, cardiac and hepatic dysfunction, sepsis, pressure injury and unplanned intubation were associated with death (Table 3). In model A of the hierarchical multiple regression analysis, age and comorbidities (CCI) remained independently associated with death from trauma in the ICU. In the presence of intermediate level 2 variables (model B), comorbidities lost significance and the association of death with age and the ISS (trauma severity index) remained. In the last stage of the analysis, with the presence of the proximal level variables, the independent risk factors for death aged 60 years or older, comorbidities (CCI) and trauma severity (ISS) (model C) remained as independent risk factors. Of the proximal level variables, severe circulatory complications, use of vasoactive drugs, mechanical ventilation, renal dysfunction, failure to perform the infection detection examination at ICU admission and APACHE II (patient severity) remained associated with death. Circulatory complications were highlighted, with OR-7.33 (IC-2.43; 22.06), the use of mechanical ventilation, with OR-5.58 (IC-1.94; 15.98), and vasoactive drugs, with OR-5.09, in addition to the age of 60 years or older, with OR-3.77 (IC-1.03; 13.82) (Table 4).
Table 4

Multiple logistic regression analysis for trauma death and risk factors in ICU patients* (n-417). Guarapuava, PR, Brazil, 2018

Independent variableModel not adjustedModel AModel BModel C
OR[] CI[] 95%OR[] CI[] 95%OR[] CI[] 95%OR[] CI[] 95%
Level 1 - distal[§]   
Age        
40 to 591,951,18; 3,241,851,11; 3,082,001,14; 3,521,400,69; 2,86
60 and more3,952,09; 7,472,230,93; 5,373,981,51; 10,503,771,03; 13,82
CCI||1,351,16; 1,571,210,99; 1,481,200,97; 1,491,411,03; 1,94
Level 2 - intermediary[]   
Advanced Circulatory Support0,530,34; 0,84  0,370,19; 0,710,710,36; 1,38
Alcohol breath0,460,22; 0,94  0,470,21; 1,040,410,15; 1,12
ISS** 1,071,04; 1,10  1,071,04; 1,101,041,00; 1,08
Level 3 - proximal[††]
Circulatory Complications12,975,49; 30,70    7,332,43; 22,06
Vasoactive drugs12,527,58; 20,70    5,092,58; 10,04
Mechanical ventilation10,755,55; 20,82    5,581,94; 15,98
Renal dysfunction2,601,68; 4,02    2,251,21; 4,19
Infection on admission        
Yes1,600,51; 4,96    1,780,36; 8,60
Exam not carried out1,360,87; 2,12    2,971,50; 5,86
APACHE[‡‡] II1,176,37; 9,50    1,071,02; 1,13

ICU = Intensive Care Unit;

OR = Odds Ratio;

95% CI = 95% Confidence Interval;

Level 1 - distal = - ICC adjusted model;

ICC = Charlson Comorbidity Index;

Level 2 = Intermediate = ISS adjusted model;

ISS = Injury Severity Scale;

Level 3 = proximal = Model adjusted by APACHE II;

APACHE = Acute Physiology and Chronic Health Evaluation

ICU = Intensive Care Unit; OR = Odds Ratio; 95% CI = 95% Confidence Interval; Level 1 - distal = - ICC adjusted model; ICC = Charlson Comorbidity Index; Level 2 = Intermediate = ISS adjusted model; ISS = Injury Severity Scale; Level 3 = proximal = Model adjusted by APACHE II; APACHE = Acute Physiology and Chronic Health Evaluation

Discussion

Severe trauma is a worldwide pandemic and a leading cause of death( 2 ). The identification of risk factors for death from trauma in the ICU through hierarchical analysis can aggregate information, especially when many factors are considered in the analysis. This study identified a traumatic ICU mortality rate of 28.2%, which was considered high compared to data from a multicenter study in the US that analyzed 1.03 million adult trauma patients admitted to the ICU in 2013( 19 ). In two regions of Estonia, the results of hospitalizations for severe trauma in 2013 were compared and a mortality rate of 20.7% was identified ( 21 ). Similar data were recorded in a Brazilian ICU, in Sobral - CE, between 2013 and 2014, which identified a mortality rate of 28.6% in traumatized patients( 8 ). The determinants for death from trauma in the ICU observed in this study were some existing at the time of trauma, such as age over 60 years and comorbidities, the severity of trauma identified from prehospital and emergency care and factors identified during ICU admission, such as the use of mechanical ventilation, renal dysfunction in the first 24 hours and patient severity (APACHE II), as well as vasoactive drugs, circulatory complications and no blood culture on admission. In this study, age 60 years and over remained a predictor of death, increasing the risk by three times. Worse prognosis for traumatized elderly compared to younger patients has been constantly presented in the literature( 8 - 9 , 22 - 25 ). This weakness is explained by characteristics of the elderly population that make it more vulnerable, such as comorbidities and the use of medications that impact the physiological response to the injury and complicate treatment and recovery( 26 ). Due to trauma-induced catabolism throughout hospitalization, the elderly often experience progressive loss of mass and skeletal muscle strength( 26 ), as shown by research that analyzed the body composition of elderly in French ICU by computed tomography and identified loss of skeletal muscles and adipose tissue, being higher in those with infections( 27 ). Other pathophysiological conditions of the elderly, such as the reduction of endogenous catecholamines, which limits the response to hemorrhage, the reduction of kidney functional reserve by up to 40% of the glomeruli, and the reduction of lung, bone and immunological functions( 28 ) may impact survival of the elderly with trauma. This propensity to physiological deterioration makes the traumatized elderly one of the most vulnerable population groups and, therefore, in their admission to the ICU, this characteristic should be considered in the care provided. Care for traumatized older people should consider the impact of aging on specific organ functions and, as a result, may affect interventions( 26 ). In this sense, interdisciplinary care improves quality because it addresses the comorbidities, processes, and outcomes of geriatric syndromes, identifies additional diagnoses, assists in advanced care planning, manages drug changes, and pain management ( 29 ) and identifies early risk factors for death ( 30 ). There are gaps in the development and implementation of treatment protocols for traumatized elderly, lacking guidelines and specialized centers( 26 ). This fact was observed in this study, which points to the need to adopt instruments that facilitate the identification and screening of traumatized elderly patients, from PHC to ICU as a priority( 31 ). It was also found that with each increase in the CCI score, the risk of death, regardless of age adjustment, increased by 41%. Comorbidities may contribute to negative ICU outcomes, such as the greater possibility of complications( 9 , 19 , 23 - 24 ). In this sense, it is important to adopt a classification system that is capable, in addition to the number of comorbidities, also to consider its severity( 9 ). Trauma, in contemporary society, is not only related to young people, but rather means a grievance that accompanies man during his life. Considering that the population is aging, with the advance in the management of chronic diseases that gives them a more active life, the elderly with comorbidities use drugs such as antiplatelet agents and anticoagulants, for example. Continued medication may increase the risk of bleeding complications, surgical infections, pneumonia, and other infections that contribute to longer ICU stay( 24 ). In line with previous research( 19 , 22 , 24 - 25 ), trauma severity was a risk factor for death and the only independent predictor at the intermediate level of determination. Each increase in the severity index (ISS) score resulted in a 4% increase in the risk of death, as identified in other studies, regardless of the cause of the trauma. A study of patients hospitalized for severe trauma (ISS>15) in South Korea identified a 4% increase in the risk of death with each increase in ISS (25), and a study of elderly patients hospitalized for blunt trauma in Israel identified an increase of 1.08% chance of death( 24 ). The physiological and anatomical evaluation of traumatized patients is an action performed by the ICU health team to know the severity of the trauma, which contributes to guarantee the quality of care ( 32 ). In this context, the use of ISS can be very useful because, in hospitals, especially in the ICU, there is greater availability of information necessary for their scoring than in PHC or immediately after arrival at the hospital, which makes their prognostic ability more efficient( 33 ). Identification of ICU complications, in addition to improving care practices( 19 ), can contribute to the rational use of resources. Although identification is not simple, it is essential for patient safety and survival. In this sense, observation of patients with complications in subgroups may contribute to the adoption of preventive rather than reactive therapies. Severe circulatory complications were the most important factor, increasing the risk of death by seven times. In this study, three conditions portray the set of serious circulatory complications: cardiorespiratory arrest (CRA); deep vein thrombosis and acute myocardial infarction (AMI). These complications in traumatized patients, even fewer incidents, can be lethal. In the analysis of complications of ICU trauma patients at level 1 and 2 trauma centers of the largest trauma database in the USA in 2013, CRA (OR-9.5) was identified as one of the main factors that increased chance of death( 19 ). Although, in this study, it is not possible to establish whether circulatory complications occur before or after ICU admission, or even if they have a direct relationship with comorbidities, trauma can become a decisive factor for its triggering by making the individual fragile. and by exposing you to excessive interventions and procedures. The development of complications during ICU trauma hospitalization may be a clinical factor to safely and carefully determine the outcome of intensive care, such as death or longer hospital stay( 19 ). Another factor contributing to mortality in traumatized patients is hemodynamic instability and, in such cases, adequate tissue perfusion with early administration of crystalloid fluids should be ensured. Vasoactive drugs may be transiently required in the presence of life-threatening hypotension( 34 )) and early use may limit organ hypoperfusion and prevent multiple failure( 28 ). However, evidence identified in a systematic review of the early use of vasopressors after traumatic injury highlights that, in addition to the benefits, some damage from vasopressor therapy in the early phase of trauma is also reported, such as the risk of bleeding, coagulopathy, compartment syndrome, and surgical complications( 34 ). In this study, the use of vasopressors remained independently associated with death. Similarly, research that tracked trauma-level inpatients in the US between 2011 and 2016 who used red blood cell transfusion upon admission found that mortality gradually increases with increased use of vasoactive agents( 35 ). Even in the face of controversies regarding the use of vasoactive drugs for traumatized patients, the admission of these patients to an intensive setting allows careful and continuous management with instant monitoring of their vital functions. Despite the heterogeneity of trauma patients with different respiratory needs, a large proportion of patients require mechanical ventilation due to acute respiratory failure (ARF)( 36 ), as is the case of the population studied. In this regard, the use of ventilatory support depends on the severity of respiratory dysfunction, impairment of gas exchange, associated trauma, and the feasibility of using noninvasive mechanical ventilation (NIV)( 36 ) or for airway protection and prevention of secondary brain injury( 37 ) and other conditions such as hemorrhagic shock and multiple organ damage( 38 ). Thus, regardless of the need for mechanical ventilation, trauma patients share common ICU care. In this study, mechanical ventilation, regardless of the justification for its use, increased the probability of death fivefold. With the exception of patients intubated for airway protection, there are alternatives to avoid mechanical ventilation and reduce associated complications( 36 ). To prevent complications and death, the use of noninvasive mechanical ventilation( 36 ) and pressure-controlled ventilation combined with spontaneous breathing( 39 ) may be alternatives to mechanical ventilation. Renal dysfunction during the first 24 hours was a risk factor for ICU death in the cohort analyzed. Excessive and inadequate immune response to trauma is known to result in multiple organ dysfunction and cell injury, which in turn may lead to death( 40 ). The identification by the intensive care team of patients with this dysfunction may be an action to prevent death and other more severe renal complications that may develop during ICU stay. Thus, such identification becomes important for clinical practice, since renal dysfunction presents physiological responses to the lesion that may be reversible, unlike renal failure ( 41 ), and the first minutes or hours after trauma are critical to an adequate immune response. A study in London showed that immune system function in severely traumatized patients is associated with the development of organ dysfunction in a hyperacute phase (up to two hours)( 40 ). This pathophysiological knowledge becomes important for efficient treatment, especially in the ICU, because, due to the complexity in PHC and transport logistics, the time until a definitive assistance can contribute to the development of organic dysfunctions such as renal. It is known that some factors may worsen the prognosis of patients with posttraumatic kidney injury such as: inadequate resuscitation; hypotension; diabetes; hypertension; pre-existing renal failure; sepsis and nephrotoxins( 42 ). Just as trauma is a major diagnosis of ICU admission in developing countries, the epidemiology of posttraumatic renal dysfunction becomes a major complication, as in the study by Sobral - CE, which found an incidence of 32.9% of acute kidney injury, and a profile of older diabetic patients who stayed longer in the ICU, who had higher APACHE and often used mechanical ventilation and vasopressors( 8 ). Infection prevalence is an indicator of outcome quality and prevention is part of an interdisciplinary and inter-professional effort to improve ICU car( 39 ). Therefore, the blood culture test should be performed at the time of admission to the ICU, as it contributes to the monitoring and prevention of infections and indicates the treatment with decision and choice of appropriate antibiotic( 39 ). The use of appropriate microbiological tests is one of the indicators to control and prevent ICU infections which, coupled with clinical signs such as level of consciousness, respiratory rate, systolic blood pressure and organ failure assessment, can monitor infection, as indicated by the German Society of Intensive Care Medicine( 39 ). Performing a blood culture test on ICU admission is a timely measure( 43 ) especially for patients predisposed to stay in the unit for a long time. In this study, the risk factor for death was the non-performance of blood culture at the time of ICU admission. Failure to perform the test hinders both the assessment of care and the interpretation of quality indicators established to monitor and control the occurrence of healthcare-associated infections( 44 ). Empirical antimicrobial therapy, without identifying the bacterium that causes the infection and which is based on the patient’s symptoms, tends to produce the opposite result as it may result in increased duration of antibiotic treatment, length of hospital stay, resistance to multiple drugs and mortality rate in critically ill patients( 45 ). Measuring disease severity is critical to drive care, and one of the most commonly used routine indicators in an intensive care setting is APACHE II, which has been shown to be sufficient to predict death in trauma patients( 32 , 46 ). The results of this study also demonstrated the association of patient severity as measured by APACHE II and death. Although the use of APACHE II is time consuming and costly, the index estimates the prognosis for ICU admission and may be appropriate for assessing and monitoring trauma patients by identifying abnormal physiology( 46 ) and reducing preventable deaths( 32 ). Regardless of the type of trauma and the place where the traumatized will be assisted, it is considered one of the health problems with the greatest impact on the health and economy of contemporary society. Although prevention of morbidity and mortality remains a major challenge in developing countries and at all levels of care, in Brazil, this challenge should focus on preventing accidents and violence through behavioral changes through information campaigns against alcohol and drug use, gun control, fall prevention strategies and speed limit surveillance, secondary prevention, in order to reduce the severity of trauma through the use of seat belts, helmets, child seats, among other measures( 47 ). In the event of trauma in the country, PHC teams prepared for the first care are needed, as well as efficient structures to stabilize the patient, such as the UPA and the hospital emergency room. If the individual needs intensive care, complication prevention strategies can impact survival, even in the face of structural and human resource constraints. Therefore, traumatic injuries are not managed alone by a single professional and in a single place of care, but rather, interprofessionally, and with this, the ICU nurse stands out. Data from this cohort, analyzed at hierarchical levels, identified predictors of death. Although factors at the distal and intermediate levels are important in determining death for clinical practice, it is those at the proximal level that help researchers and health professionals to administer direct patient care. These factors reinforce the daily challenge of nurses to guide their intensive practice based on evidence, but also based on clinical experience and patient values. In this sense, these professionals should be equipped to know the epidemiology of trauma, the natural history, the various factors involved and the strategies and possible interventions to impact the incidence (primary prevention) on its severity (secondary prevention) or its consequences (tertiary prevention). The results may also be useful for future epidemiological and clinical studies as they consider complex trauma-determining variables not explored in this study, such as traumas exposure characteristics related to human, social, health, occupational, political and cultural behavior. Despite the relevant data obtained in this study, limitations should be highlighted, such as the collection in medical records, which may not contain all records, resulting in exclusions of individuals, and the fact that the study was conducted in a single ICU in a region of a state in Brazil, as it does not allow the generalization of the results.

Conclusion

This research identified an ICU trauma mortality rate of 28.2% and risk factors that are useful in composing a clinical profile of trauma patients admitted to the ICU. The hierarchical determination of some factors over others, especially those near the proximal level of death, such as circulatory complications, use of vasoactive drugs and mechanical ventilation, the occurrence of renal dysfunction in the first 24 hours, elevated APACHE blood culture examination at admission showed that, for these patients undergoing intensive care, indicators of qualified hospital care have priority in the prevention of clinical complications.
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Review 1.  Injury in the aged: Geriatric trauma care at the crossroads.

Authors:  Rosemary A Kozar; Saman Arbabi; Deborah M Stein; Steven R Shackford; Robert D Barraco; Walter L Biffl; Karen J Brasel; Zara Cooper; Samir M Fakhry; David Livingston; Frederick Moore; Fred Luchette
Journal:  J Trauma Acute Care Surg       Date:  2015-06       Impact factor: 3.313

2.  Evaluation of Probability of Survival using APACHE II & TRISS Method in Orthopaedic Polytrauma Patients in a Tertiary Care Centre.

Authors:  Archit Agarwal; Atul Agrawal; Rajesh Maheshwari
Journal:  J Clin Diagn Res       Date:  2015-07-01

3.  Prognostic factors associated with mortality in patients with severe trauma: from prehospital care to the Intensive Care Unit.

Authors:  J González-Robledo; F Martín-González; M Moreno-García; M Sánchez-Barba; F Sánchez-Hernández
Journal:  Med Intensiva       Date:  2014-09-02       Impact factor: 2.491

Review 4.  Mortality prediction models in the general trauma population: A systematic review.

Authors:  Leonie de Munter; Suzanne Polinder; Koen W W Lansink; Maryse C Cnossen; Ewout W Steyerberg; Mariska A C de Jongh
Journal:  Injury       Date:  2016-12-15       Impact factor: 2.586

Review 5.  Self harm is an independent predictor of mortality in trauma and burns patients admitted to ICU.

Authors:  James Varley; David Pilcher; Warwick Butt; Peter Cameron
Journal:  Injury       Date:  2011-06-28       Impact factor: 2.586

Review 6.  Does the use of dedicated dispatch criteria by Emergency Medical Services optimise appropriate allocation of advanced care resources in cases of high severity trauma? A systematic review.

Authors:  Carl McQueen; Mike Smyth; Joanne Fisher; Gavin Perkins
Journal:  Injury       Date:  2015-04-02       Impact factor: 2.586

7.  Damage control resuscitation in patients with severe traumatic hemorrhage: A practice management guideline from the Eastern Association for the Surgery of Trauma.

Authors:  Jeremy W Cannon; Mansoor A Khan; Ali S Raja; Mitchell J Cohen; John J Como; Bryan A Cotton; Joseph J Dubose; Erin E Fox; Kenji Inaba; Carlos J Rodriguez; John B Holcomb; Juan C Duchesne
Journal:  J Trauma Acute Care Surg       Date:  2017-03       Impact factor: 3.313

8.  Patterns of vasopressor utilization during the resuscitation of massively transfused trauma patients.

Authors:  Galinos Barmparas; Navpreet K Dhillon; Eric Jt Smith; Russell Mason; Nicolas Melo; Gretchen M Thomsen; Daniel R Margulies; Eric J Ley
Journal:  Injury       Date:  2017-09-27       Impact factor: 2.586

9.  The global burden of injury: incidence, mortality, disability-adjusted life years and time trends from the Global Burden of Disease study 2013.

Authors:  Juanita A Haagsma; Nicholas Graetz; Ian Bolliger; Mohsen Naghavi; Hideki Higashi; Erin C Mullany; Semaw Ferede Abera; Jerry Puthenpurakal Abraham; Koranteng Adofo; Ubai Alsharif; Emmanuel A Ameh; Walid Ammar; Carl Abelardo T Antonio; Lope H Barrero; Tolesa Bekele; Dipan Bose; Alexandra Brazinova; Ferrán Catalá-López; Lalit Dandona; Rakhi Dandona; Paul I Dargan; Diego De Leo; Louisa Degenhardt; Sarah Derrett; Samath D Dharmaratne; Tim R Driscoll; Leilei Duan; Sergey Petrovich Ermakov; Farshad Farzadfar; Valery L Feigin; Richard C Franklin; Belinda Gabbe; Richard A Gosselin; Nima Hafezi-Nejad; Randah Ribhi Hamadeh; Martha Hijar; Guoqing Hu; Sudha P Jayaraman; Guohong Jiang; Yousef Saleh Khader; Ejaz Ahmad Khan; Sanjay Krishnaswami; Chanda Kulkarni; Fiona E Lecky; Ricky Leung; Raimundas Lunevicius; Ronan Anthony Lyons; Marek Majdan; Amanda J Mason-Jones; Richard Matzopoulos; Peter A Meaney; Wubegzier Mekonnen; Ted R Miller; Charles N Mock; Rosana E Norman; Ricardo Orozco; Suzanne Polinder; Farshad Pourmalek; Vafa Rahimi-Movaghar; Amany Refaat; David Rojas-Rueda; Nobhojit Roy; David C Schwebel; Amira Shaheen; Saeid Shahraz; Vegard Skirbekk; Kjetil Søreide; Sergey Soshnikov; Dan J Stein; Bryan L Sykes; Karen M Tabb; Awoke Misganaw Temesgen; Eric Yeboah Tenkorang; Alice M Theadom; Bach Xuan Tran; Tommi J Vasankari; Monica S Vavilala; Vasiliy Victorovich Vlassov; Solomon Meseret Woldeyohannes; Paul Yip; Naohiro Yonemoto; Mustafa Z Younis; Chuanhua Yu; Christopher J L Murray; Theo Vos
Journal:  Inj Prev       Date:  2015-12-03       Impact factor: 2.399

10.  Impact of comorbidities on the prognoses of trauma patients: Analysis of a hospital-based trauma registry database.

Authors:  Chih-Yuan Wang; Yi-Chan Chen; Ti-Hsuan Chien; Hao-Yu Chang; Yu-Hsien Chen; Chih-Ying Chien; Ting-Shuo Huang
Journal:  PLoS One       Date:  2018-03-20       Impact factor: 3.240

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  1 in total

1.  Development and Internal Validation of a Nomogram to Predict Mortality During the ICU Stay of Thoracic Fracture Patients Without Neurological Compromise: An Analysis of the MIMIC-III Clinical Database.

Authors:  Haosheng Wang; Yangyang Ou; Tingting Fan; Jianwu Zhao; Mingyang Kang; Rongpeng Dong; Yang Qu
Journal:  Front Public Health       Date:  2021-12-22
  1 in total

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