1. Introduction
Trauma is defined as any sudden “wound or tissue injury” caused by external forces, including animal–animal interactions such as penetrating bite wounds, human–animal interactions such as blunt trauma from motor vehicle accidents or other causes such as falls from height [
1]. The severity of trauma ranges from mild to life-threatening and, in some cases, fatal.
In small animals, trauma is a leading cause of morbidity and mortality and represents one of the most common reasons for admission to emergency care [
1]. Polytrauma, defined as a clinically significant injury that affects multiple organ systems or body regions, poses a particular challenge due to its potential to destabilize patient physiology and the frequent need for intensive hospitalization [
2,
3].
The primary traumatic injury causes direct tissue damage, which is often irreversible. However, the secondary injury cascade, which includes systemic inflammatory responses, ischemia–reperfusion injury, and metabolic disturbances, frequently proves to be more decisive in determining clinical outcome [
4]. This cascade may culminate in multiple organ dysfunction syndrome (MODS), a critical and often fatal complication [
5].
Veterinary management begins with a ’triage’: a rapid assessment that typically lasts 30 to 60 s and prioritizes patients according to severity. The triage progresses in structured steps. The primary survey assesses respiratory, cardiovascular, neurologic, and urinary systems, with stabilization guided by the principles of airway, breathing, and circulation (ABC) and by rapid evaluation of the major body systems (MBSs). The secondary survey consists of a comprehensive examination from the nose to the tail, with particular attention given to musculoskeletal injuries. In human medicine, a tertiary survey is frequently performed to re-evaluate previous findings and detect previously unrecognized injuries [
3]. Shock is a frequent consequence of severe trauma and is defined as peripheral circulatory failure in which oxygen delivery does not meet tissue demand. This results in a shift from aerobic to anaerobic metabolism, with rapid energy depletion, lactic acidosis, and progressive hypoxia [
3,
6,
7]. Compensatory mechanisms, including tachycardia, vasoconstriction, redistribution of blood flow to vital organs, reduced urine output, and increased oxygen extraction, may temporarily stabilize the patient. When these fail, cell death and organ failure follow [
3]. Poor prognostic indicators in veterinary patients include traumatic brain injury, skull fractures, recumbency, hematochezia, acute respiratory distress syndrome (ARDS), disseminated intravascular coagulation (DIC), pneumonia, positive pressure ventilation (PPV), and the use of vasopressors [
7].
Diagnosis and stabilization require a combination of laboratory analysis and imaging. Early laboratory tests include packed cell volume and total protein, followed by hematocrit, glucose, and calcium, each of which provides prognostic information [
3,
6]. Imaging is essential for rapid evaluation, with radiography and ultrasonography being the most commonly used modalities to assess pulmonary contusions, pneumothorax, diaphragmatic hernia, free fluid and organ displacement. Point-of-care ultrasound (POCUS), ECG, and blood gas analysis further aid in rapid assessment. Advanced imaging techniques such as computed tomography and magnetic resonance imaging are valuable but are generally reserved for later stages when patients are stable enough for anesthesia.
Although veterinary trauma care differs from human medicine in many respects, there are parallels. Small animal patients resemble human trauma victims in rural settings, where blunt injuries are common, delays in discovery and transport are frequent, and structured pre-hospital triage systems are limited [
8]. These factors contribute to higher mortality. Nevertheless, human trauma care principles, particularly structured triage, resuscitation strategies, and severity scoring systems, can be adapted to veterinary medicine when feasible.
Trauma scoring systems, among the assessment tools available, provide an objective framework to classify injury severity and forecast clinical outcome. In veterinary practice, the two most widely used are the modified Glasgow Coma Scale (mGCS), adapted from human medicine to assess neurologic injury [
9], and the Animal Trauma Triage (ATT) score, developed specifically for small animals [
10]. Both scoring systems quantify trauma severity, have been shown to correlate with mortality, and assist in guiding clinical decision-making, while their relationship with the risk of MODS remains less clearly established [
11,
12].
The mGCS introduced by Shores in 2001 to evaluate the prognosis in animals with TBI [
13] evaluates motor activity, brainstem reflexes, and level of consciousness, and each category is scored from 1 (severely abnormal) to 6 (normal), producing scores of 3 to 18. The prognosis is classified according to the score ranges: 15–18 (Good), 9–14 (Guarded), and 3–8 (Grave). Lower scores indicate more severe neurologic dysfunction and poorer survival, with scores of 8 or less associated with a survival rate of 50% [
9], and each one-point increase in the score is associated with a 2.06-fold increase in the probability of survival [
12,
14].
The ATT score was first developed by Rockar in 1994 to predict the outcome in polytraumatized veterinary patients [
10]. The score assesses six body systems: perfusion, cardiac, respiratory, eye/muscle/integument, skeletal, and neurologic. Each category is scored from 0 (slight or no injury) to 3 (indicating severe injury), contributing equally to a total score ranging from 0 to 18. Higher scores reflect a greater severity of the injury and an increased risk of mortality and systemic complications [
6,
15]. An ATT score of 9 has been associated with an estimated 50% probability of survival [
6,
15], and each additional point has been associated with a 15% higher risk of developing systemic inflammatory response syndrome (SIRS) in vehicular trauma [
16], as well as significantly higher odds of mortality; 1.78 in cats and 2.07 in dogs [
14].
Both the ATT score and the mGCS have demonstrated utility in retrospective studies, although prospective validation remains limited. Large-scale registry data confirm the excellent discriminative performance of the ATT score in dogs (AUROC = 0.92) and its moderate performance in cats (AUROC ≈ 0.75) [
14]. Analysis of 3599 polytraumatized dogs confirmed that each additional ATT point approximately doubles the mortality risk (OR ≈ 2.07; AUROC 0.92, 95% CI 0.91–0.94) [
11]. In cats, a registry study of 1065 cases of bite wounds showed that increasing the quantiles of the ATT score resulted in a 4.5-fold increase in the odds of death, while surgical intervention reduced the risk of mortality by 84% [
14,
16]. Additionally, in 25 cats with high-rise trauma, an ATT cutoff ≥ 6 predicted non-survival with 75% sensitivity and 90% specificity (AUROC = 0.917), while each one-point reduction in mGCS was associated with a 2.41-fold increase in odds of death [
17]. Blunt trauma in cats was also associated with lower mGCS and higher ATT scores, which are correlated with poorer survival compared to penetrating trauma [
11].
Thus, recent feline studies provide quantitative measures of predictive performance in different types of trauma. In bite wound cases, each one-point reduction in mGCS doubles the odds of mortality (AUROC ≈ 0.78). Craniofacial trauma studies show similarly that lower mGCS predicted a poorer outcome, with AUROC values ranging from 0.74 to 0.81 [
13,
18]. Data in canine patients remain comparatively limited, with only registry-level analyses offering a broader perspective [
19]. This highlights the importance of reporting canine trauma cases in which scoring and outcome can be evaluated, allowing inter-species comparison and further refining the clinical utility of ATT and mGCS for early prognosis, triage, and resource allocation in veterinary trauma patients.
This study prospectively evaluates the prognostic value of the ATT and mGCS scores in polytraumatized dogs and cats, hypothesizing that higher ATT and lower mGCS scores are associated with greater organ dysfunction and increased mortality, thus aiding early outcome prediction and clinical decision-making.
2. Materials and Methods
2.1. Study Design and Population
A prospective, observational, multi-center study was conducted over a 13-month period (September 2019 to October 2020) in the emergency and critical care units of the University of Veterinary Medicine and Pharmacy in Košice, Slovakia, and the Vet Center in Herzliya, Israel. A total of 30 patients (20 dogs, 10 cats) with varying degrees of polytraumatic injuries were enrolled. Inclusion in this study required medical history and clinical signs consistent with polytrauma that affects multiple body systems. Only patients with complete medical records from admission to outcome were included.
2.2. Data Collection
Upon admission, data was recorded for each patient, including signalment (species, breed, age, sex, weight, reproductive status), trauma history (type, cause, injury location), and findings of physical examination. Initial vital signs, including rectal temperature (RT), heart rate (HR), respiratory rate (RR), and capillary refill time (CRT), were documented. Concurrent diseases were recorded.
2.3. Trauma Scoring
ATT and mGCS scores were calculated for each patient based on the findings of the initial physical examination. The ATT score was calculated by assigning a score of 0 (no/slight injury) to 3 (severe injury) for each of the six categories (perfusion, cardiac, respiratory, eye/muscle/integument, skeletal, and neurologic), up to a total possible score of 18 [
10]. The mGCS was calculated by assessing three categories (motor activity, brainstem reflexes, and level of consciousness), each scoring from 1 (severe dysfunction) to 6 (normal), for a total possible score of 3 to 18 [
9].
2.4. Laboratory Analysis and Diagnostic Imaging
Blood samples (2–3 mL) were collected by venipuncture (Cephalic, Saphenous or Jugular vein) upon admission, prior to or shortly after the initiation of fluid resuscitation. Complete blood count (CBC) and serum biochemistry profiles were performed. The analyzers used included the IDEXX ProCyte Dx and Catalyst One (IDEXX Laboratories Inc., Westbrook, ME, USA) at the University of Veterinary Medicine and Pharmacy in Košice (UVLF) and the VetScan® HM5 and VS2 (Abaxis Inc., Union City, CA, USA) at Vet Center Hospital. The key parameters evaluated were hematocrit (HCT), platelet count (PLT), total protein (TP), glucose (Glu), blood urea nitrogen (BUN), creatinine (CREA), and electrolytes, assessing hemodynamic, cardiovascular, and renal systems. The reference range of blood parameters was recorded according to the blood analysis machines used in each hospital, and units were converted as needed.
2.5. Advanced Treatment
The treatment variables were divided into medical or surgical intervention, including recording the medications and surgical procedures performed. The need for specific advanced treatment modalities such as hypertonic saline, endotracheal intubation, administration of mannitol, corticosteroids, benzodiazepines, phenobarbital, or oxygen supplementation was recorded.
2.6. Outcome Assessment and Statistical Analysis
The primary outcome was recorded as survival or non-survival to hospital discharge. Non-survival was further classified as death despite treatment or euthanasia (due to grave prognosis, financial constraints, or both). Multi-organ dysfunction was identified as the cause of death based on clinical progression and terminal laboratory findings consistent with the failure of two or more organ systems. All statistical analyses were performed using the Jamovi software (Version 1.2; The Jamovi Project, Sydney, Australia; available at
https://www.jamovi.org). Continuous variables were assessed for normality using the Shapiro–Wilk test. Normally distributed data are expressed as mean ± standard deviation (SD), whereas non-normally distributed data are presented as median and interquartile range (IQR). Differences between survivors and non-survivors were analyzed using the independent
t-test or the Mann–Whitney U test, as appropriate. Categorical variables were compared using the Chi-square (
χ2) or Fisher’s exact test. A
p < 0.05 was considered statistically significant. Logistic regression and receiver operating characteristic (ROC) curve analyses were performed to evaluate the predictive performance of trauma scores (ATT and mGCS).
4. Discussion
Frequently, polytraumatized dogs and cats in this study population exhibited clinical signs consistent with shock and shock-associated metabolic derangements, including metabolic acidosis and hyperglycemia. Hyperglycemia arises not only from the catecholamine-driven stress response but also from cortisol release, inflammatory cytokine activity, and insulin resistance, particularly pronounced in patients with traumatic brain injury, and has been consistently linked to a worse prognosis and reduced survival [
3,
6,
9]. Lactic acidosis develops when inadequate tissue perfusion occurs, forcing a shift from aerobic to anaerobic metabolism, resulting in impaired ATP production, accumulation of lactate, and progressive cellular hypoxia. This disturbance reflects the severity of the shock and has been associated with a poor outcome in traumatized veterinary patients [
3,
6,
7].
In veterinary trauma patients, the ATT score has been shown to predict short-term outcome and the need for intensive care in both dogs and cats suffering from traumatic injuries [
1,
10]. Recent feline-focused studies have further demonstrated the prognostic value of both ATT and mGCS in specific trauma contexts, including high-rise falls, craniofacial injuries, and bite wounds, underscoring their clinical utility in cats [
13,
17,
18].
In this prospective multi-center study population, the prognostic utility of ATT and mGCS scores was evaluated in 30 polytraumatized dogs and cats, to identify patients prone to develop MODS through the trauma cascade, allowing rapid treatment and optimized resource allocation to prevent fatal outcomes. Our findings contribute to canine-specific data, which remain limited compared to feline cohorts where there are larger-scale prognostic studies. This cross-species perspective highlights important similarities but also underscores that predictive accuracy may vary depending on the type of injury and neurological involvement.
The prevalence of blunt trauma, particularly motor vehicle accidents, as the main cause of injury aligns with established epidemiology in small animal trauma [
6], and MODS was the leading cause of death, consistent with previous reports [
3]. Interestingly, feline studies report similar injury distributions, with falls and blunt trauma dominating, while head trauma is more prevalent in cats than in dogs [
18]. This epidemiological overlap supports the use of comparable scoring tools, while emphasizing the need to validate thresholds for each species.
The overall survival rate of 83.3% observed in this study is consistent with previous reports [
12,
20]; however, some studies have documented higher mortality rates [
8,
21]. Lower mortality rates of 7.6% and 7.3% have been reported in studies with substantially larger populations—nearly 8000 dogs and cats—which limits direct comparison [
11]. Nevertheless, the 83.3% survival rate remains broadly consistent with survival rates of 88% to 92% reported in larger retrospective cohorts [
1,
11]. Notably, feline-specific studies have shown survival rates exceeding 90% in certain trauma subtypes, particularly high-rise falls, where the prognosis is generally favorable [
17]. The slightly lower survival in our mixed cohort likely reflects the greater heterogeneity and severity of injuries, particularly MODS-driven mortality.
All cats were accurately classified according to their trauma scores, ATT, and mGCS. However, one dog was not correctly predicted: its ATT score of 9 classified it as a non-survivor, whereas its mGCS score of 18 suggested survival. This discrepancy likely reflects the strength of mGCS to predict the outcome in neurologically affected patients, but a lower reliability in diverse polytrauma cases without central nervous system involvement.
The ATT score demonstrated excellent precision in predicting the outcome and, in most cases, was correlated with the presence of MODS or organ dysfunction, which is associated with increased mortality risk. This underscores the value of trauma severity scores in identifying severely affected patients and supports their use as part of the overall clinical evaluation of dogs and cats with polytrauma.
Furthermore, this study population was highly heterogeneous, including patients with a wide range of injury severities. Inclusion of patients with relatively minor injuries can influence results, as the scoring system was designed primarily to identify the most critically injured individuals prone to progressing into the trauma cascade leading to SIRS, MODS, and death. Nevertheless, the ATT score exhibited perfect discrimination in predicting non-survival, with a median ATT score of 7 for the entire cohort, indicating that minor injuries did not significantly affect the results. The low discrimination observed in the Eye/Muscle/Integument category may reflect its broad nature, encompassing injuries from minor abrasions to severe trauma, failing to distinguish injuries that do not impact the prognosis.
A key limitation of this study was the small sample size and the exclusion of patients with incomplete admission data, which may have influenced the interpretation of the score. The mGCS demonstrated good discriminative ability (AUROC = 0.86), outperforming a random classifier, but the wide 95% confidence interval (0.53–1.0) reflects the limited number of non-survivors and the small cohort size. Trauma patients are highly dynamic, with rapidly changing physiological parameters affecting the ATT score and potentially altering the outcome predictions over short periods. Although mGCS correctly identified four of the five non-survivors (80%) in neurologically affected patients, its predictive precision was lower in those without neurological dysfunction. Its labor-intensive nature may also limit practical utility in emergency settings, potentially delaying treatment and under-recognizing severely affected patients. These factors highlight the need for a cautious interpretation of trauma scores and further validation in larger study populations.
Additionally, score precision may be affected by physiological compensation mechanisms, which can mask the true severity of the injury, as well as by the experience of the clinician performing the assessments; more experienced personnel may detect clinical signs with better sensitivity, thus improving predictive reliability.
Despite these limitations, our study highlights the critical prognostic value of trauma scores in predicting organ dysfunction. Sixty percent of non-survivors succumbed to complications consistent with MODS and circulatory collapse, emphasizing that, although initial physical trauma triggers a cascade, the systemic response and development of organ failure are often the ultimate determinants of mortality. Continuous monitoring beyond initial triage, focusing on early detection of respiratory, cardiovascular, and renal impairment, remains essential.
Beyond trauma scores, the only statistically significant finding was a higher respiratory rate among non-survivors. This may reflect compensatory mechanisms in response to hypoxia, metabolic acidosis, pain, or severe involvement of the central nervous system, such as high cervical spinal cord trauma. Other parameters not evaluated in this study—blood lactate, the need for PPV, and SpO2 at admission—may also have a prognostic value, which warrants further investigation.
In clinical practice, trauma scores are valuable components of initial patient assessment but relying on them as the sole predictor may be misleading, potentially underestimating injury severity and occult shock. The ATT score, given its strong predictive performance, should be integrated into a comprehensive evaluation that includes a thorough physical examination, continuous monitoring of vital signs, and targeted diagnostics. The primary value of these scores lies in the rapid identification of high-risk patients requiring immediate intervention and close monitoring.
Emerging feline literature supports these findings, demonstrating high predictive precision of ATT cutoff points (≥6 or ≥10) for mortality, particularly in high-rise falls, bite wounds and craniofacial trauma [
13,
17,
18]. Although large-scale validation similar to that is limited in dogs, registry-level studies suggest comparable trends [
19], highlighting the need for species-specific thresholds and further prospective canine research. In this study population, each one-point increase in the ATT score greater than eight was associated with approximately a two-fold increase in the odds of mortality (OR ≈ 2.07 in dogs and 2.02 in cats), while each 1-point decrease in mGCS below 14 similarly doubled the risk of death (OR ≈ 2.02 in dogs and 2.04 in cats), similar to previous reports [
9,
11,
14]. This study demonstrates that both dogs and cats follow a similar pattern, in which each one-point change in ATT (increase) or mGCS (decrease) approximately doubles the odds of death, with thresholds of ATT ≥ 9 and mGCS ≤ 14 corresponding to a 50% probability of survival. Each one-point increase in ATT was associated with a 5.9-fold increase in MODS odds, with a sensitivity of 100% and a specificity of 93% (AUC 0.98). Conversely, a one-point reduction in mGCS corresponded to a 1.4-fold higher likelihood of MODS, with a sensitivity of 67%, specificity of 93%, and an AUC of 0.73. These findings suggest that ATT outperforms mGCS in predicting the risk of MODS in polytraumatized dogs and cats.
To the authors’ knowledge, this is the first prospective multicenter study to evaluate both dogs and cats with polytrauma using ATT and mGCS scores, linking these tools not only to survival, but also to the risk of multi-organ dysfunction. Notably, discrepancies observed between the predictions of ATT and mGCS in neurologically intact versus neurologically compromised patients underscore the practical limitations of mGCS in heterogeneous polytrauma populations, extending previous neuro-focused studies [
9,
14] and complementing larger registry-based evaluations [
11,
12].
Integration of automated scoring systems could improve the clinical utility of trauma scores by dynamically updating ATT in real time as physiological parameters—temperature, respiratory rate, heart rate—change, allowing more responsive and efficient decision-making. Future research should explore the combination of trauma scores with prognostic biomarkers, such as lactate and excess base, to improve predictive precision in both canine and feline populations [
13,
17].