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Vol. 49. Issue 12.
(December 2025)
Original article
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Early identification of hypofibrinogenemia in major trauma: The usefulness of the FiT-6 (Fibrinogen in Trauma-6) score

Identificación precoz de hipofibrinogenemia en enfermedad traumática grave: la utilidad de la escala FiT-6 (Fibrinogen in Trauma-6 Score)
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Ángela Ruiz-Bocosa, Gonzalo Sirgoa,b, Marc Cartanyàa, Sandra Canellesa, Silvia Urgelésa, Xavi Daniela, Natalia Murilloa, Julen Berruetac, Reyes Aguinacod, María Bodía,b,e, Alejandro Rodrígueza,b,e, Gerard Morenoa,
Corresponding author
murenu77@hotmail.com

Corresponding author.
a Servicio de Medicina Intensiva, Hospital Joan XXIII, Tarragona, Spain
b Universidad Rovira y Virgili (URV), Tarragona, Spain
c Servicio de Biotecnología, Hospital Joan XXIII, Tarragona, Spain
d Servicio de Hematología, Hospital Joan XXIII, Tarragona, Spain
e Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Spain
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Tables (4)
Table 1. Demographic characteristics of the study population and comparison between survivors and deceased patients.
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Table 2. Clinical and laboratory test characteristics of the study population and comparison between survivors and deceased patients.
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Table 3. Comparison between patients with hypofibrinogenemia and those with normal fibrinogen levels.
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Table 4. Secondary results between the study groups.
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Abstract
Objective

To develop a clinical predictive score for hypofibrinogenemia in severely injured trauma patients.

Design

Retrospective cohort study.

Setting

Intensive Care Unit (ICU) at Hospital Joan XXIII.

Patients

Consecutive patients admitted to the ICU for severe trauma with significant bleeding between 2015 and 2021 were included. Patients with an Injury Severity Score (ISS) < 16 were excluded.

Interventions

Data were analyzed from the ICUTRAUMA registry, designed to establish the epidemiological profile of critically ill trauma patients in the province of Tarragona. The association between admission fibrinogen levels and ICU mortality was assessed using Cox regression with restricted cubic splines. A logistic regression model was then constructed to predict hypofibrinogenemia (≤203 mg/dl), from which a clinical score was developed and internally validated, and subsequently named FiT-6.

Main variables of interest

Association between initial fibrinogen levels and ICU mortality.

Results

A non-linear relationship was observed between fibrinogen levels and ICU mortality. Fibrinogen levels ≤ 203 mg/dl were significantly associated with increased mortality (HR: 1.66; 95%CI: 1.01–2.72). Six independent predictors of hypofibrinogenemia were identified: ionic calcium < 1 mmol/l, hemoglobin < 10 g/dl, platelets < 100 × 109/l, base excess < –6, Shock Index > –0.9, and lactate > 2 mmol/l. The model demonstrated good diagnostic performance (AUC-ROC 0.90) after cross-validation.

Conclusions

The FiT-6 score shows high predictive ability for identifying hypofibrinogenemia, which is associated with increased ICU mortality.

Keywords:
Major trauma
Hypofibrinogenemia
Early score
Trauma induced coagulopathy
ICU mortality
Resumen
Objetivo

Desarrollar una escala clínica predictiva de hipofibrinogenemia en pacientes con trauma grave.

Diseño

Estudio de cohortes retrospectivo.

Ámbito

Unidad de Cuidados Intensivos (UCI) del Hospital Joan XXIII.

Pacientes

Se incluyeron pacientes ingresados en UCI, de forma consecutiva, por traumatismo grave y con hemorragia significativa entre 2015 y 2021. Se excluyeron pacientes con un ISS < 16.

Intervenciones

Se analizaron los datos procedentes del registro ICUTRAUMA, diseñado para establecer el perfil epidemiológico de pacientes críticos traumáticos en la provincia de Tarragona. Se evaluó la relación entre los niveles de fibrinógeno al ingreso y la mortalidad en UCI mediante regresión de Cox con splines cúbicos restringidos. Posteriormente se construyó un modelo de regresión logística para predecir hipofibrinogenemia (≤203 mg/dl), a partir del cual se desarrolló y validó internamente una escala clínica que se denominó FiT-6.

Variables de interés principales

Asociación entre los niveles iniciales de fibrinógeno y la mortalidad en UCI.

Resultados

Se observó una relación no lineal entre los valores de fibrinógeno y la mortalidad en la UCI. A partir de niveles ≤ 203 mg/dl, la mortalidad aumentó significativamente (HR: 1,66; IC 95%: 1,01–2,72). Se identificaron seis predictoras independientes de hipofibrinogenemia: calcio iónico < 1 mmol/l, hemoglobina < 10 g/dl, plaquetas < 100 × 109/l, exceso de base < –6, índice de Shock > 0,9 y lactato > 2 mmol/l. El modelo mostró un buen rendimiento diagnóstico (AUROC: 0,90) tras validación cruzada.

Conclusiones

La escala FiT-6 presenta una alta capacidad predictiva para detectar hipofibrinogenemia, que se asocia a un incremento de la mortalidad en UCI.

Palabras clave:
Traumatismo grave
Hipofibrinogenemia
Escala
Coagulopatía inducida por trauma
Mortalidad UCI
Full Text
Introduction

Severe traumatic injury is a major cause of morbidity and mortality, especially in young patients, and remains a major challenge for health care. The prognosis is significantly influenced by trauma-induced coagulopathy (TIC), which occurs in up to 25% of cases.1,2 TIC is classically associated with increased transfusion requirements and prolonged Intensive Care Unit (ICU) and hospital stay. Although there is no consensus on the definition of TIC, it is important to note that TIC is not limited to massive bleeding or hypoperfusion. Tissue damage caused by severe trauma and endothelial disruption activates the coagulation system through the release of tissue factor into the circulation, triggering a series of mechanisms leading to a state of early hypocoagulability.3

One of the mainstays of TIC is the depletion of fibrinogen, the clotting factor found in the highest concentration in plasma, with normal levels ranging from 200 to 400 mg/dl. Fibrinogen acts as an essential substrate for fibrin formation, promoting clot formation and stabilization, along with platelet aggregation and factor XIII. Mechanisms contributing to hypofibrinogenemia after major trauma include auto-consumption during coagulation, hypothermia, hypoperfusion, acidosis, as well as hyperfibrinolysis and dilution during resuscitation.4,5 Hypofibrinogenemia has been shown to be associated with increased adverse events, including increased mortality.6

Current recommendations suggest the administration of fibrinogen in situations of massive traumatic bleeding when levels fall below 150-200 mg/dl.7,8 However, classical coagulation methods can cause delays in determining these levels, and viscoelastic testing is not widely available in all centers. As traumatic injury is a time-dependent condition, the implementation of early or empiric hemostatic resuscitation strategies could improve clinical outcomes. In this context, the recent CRYOSTAT-29 trial evaluated the effect of early and empiric administration of cryoprecipitate in patients with severe trauma and hemorrhage, without demonstrating a significant reduction in mortality at 28 days.

In the setting of severe trauma, early recognition of the risk of developing hypofibrinogenemia is critical, especially considering the adverse effects of hypofibrinogenemia and the lack of consensus regarding empiric fibrinogen administration. Therefore, the present study aimed to develop an early predictive scale for hypofibrinogenemia in severe trauma to make its application practical, feasible, and effective.

Patients and methodsStudy design and participants

A retrospective observational cohort study was conducted based on the ICUTRAUMA project territorial registry of severe trauma, registered in ClinicalTrials.gov (ID: NCT06007807). This registry collected information on patients consecutively admitted to the ICU of a reference hospital in the province of Tarragona (Spain) between 1 January 2015 and 31 December 2021. The hospital, classified as a IIb center by the Generalitat de Catalunya, receives trauma patients referred from 6 hospitals in the province, covering an area of approximately 800,000 inhabitants.

Inclusion criteria were patients admitted to the ICU during the study period with: 1) severe trauma according to the Injury Severity Score (ISS) ≥ 16; 2) significant bleeding (hemorrhagic shock, massive bleeding, transfusion ≥ 2 packed red blood cell units); and/or 3) TIC. Patients younger than 15 years of age were excluded. The study was approved by the local ethics committee (ref. CEIm: 192/2021).

Data collection and selection of variables

Data were collected on patient demographics, mechanism of injury, and severity indices such as ISS, Retrascore,10 the Abbreviated Injury Scale (AIS), Glasgow Coma Scale (GCS), Shock Index (SI), massive bleeding, need for vasoactive support, and traumatic cardiac arrest. The need for transfusion of blood components and blood products was also recorded, as was the use of in-hospital resources such as damage control surgery, complications such as TIC, multiple organ dysfunction syndrome (MODS), acute respiratory distress syndrome (ARDS), thrombosis, and nosocomial infections, among others (Appendix B, Supplementary material). Hemorrhagic shock was defined as a clinical situation of hypoperfusion characterized by hypotension (systolic blood pressure < 90 mmHg), tachycardia, coldness, peripheral vasoconstriction, need for vasopressors, altered mental status, oliguria, hyperlactacidemia, or a base excess deficit > –6 due to blood loss after injury. Massive bleeding in turn was defined as the transfusion of more than 10 packed red blood cell units in the first 24 h, more than 4 packed red blood cell units in the first 2 h after admission, or life-threatening bleeding. TIC was defined as the presence of at least one of the following: prolonged coagulation times with a prothrombin time (PT) > 1.5 or activated partial thromboplastin ratio > 1.2, platelets ≤ 100 × 109/l, or fibrinogen < 150 mg/dl.

Laboratory parameters were collected in the emergency department and on admission to the ICU. For early assessment of factors associated with hypofibrinogenemia, the first analytical determinations obtained during the initial care of the trauma patient were used. Fibrinogen levels were determined by the PT-derived fibrinogen assay or by the Clauss method (if <170 mg/dl). Due to the lack of consensus on the definition of hypofibrinogenemia, the study cohorts were defined from the first mortality analysis as hypofibrinogenemia (≤203 mg/dl) and normal fibrinogen (>203 mg/dl).

The main objective was to determine a fibrinogen cut-off point predictive of ICU mortality in patients with severe trauma and significant hemorrhage. The secondary objective was to develop a predictive scale of hypofibrinogenemia based on this threshold. In addition, the need for transfusions, the development of complications, and the clinical outcomes, including length of stay and days free of mechanical ventilation at 28 days, were evaluated.

Statistical analysis

  • Descriptive. Discrete variables were reported as frequencies and percentages (%), while continuous variables were reported as the median and respective interquartile range (IQR: 25%–75%).

  • Univariate. The chi-squared test for categorical variables and the Mann–Whitney U test for continuous variables were used to compare the baseline characteristics between groups.

  • Multivariate Analysis for Predictors of ICU Mortality. A Cox regression model with restricted cubic splines11 adjusted for multiple confounders was used to determine the independent association between hypofibrinogenemia and ICU mortality (Appendix B Table S3, Supplementary material). After identifying a non-linear relationship between fibrinogen levels and mortality, the critical fibrinogen level above which mortality increased significantly was determined. This cut-off allowed patients to be divided into two groups: hypofibrinogenemia (≤203 mg/dl) and normal fibrinogen.

  • Multivariate Analysis for Predictors of Hypofibrinogenemia. To identify risk factors independently associated with hypofibrinogenemia, binary logistic regression was performed with hypofibrinogenemia as the dependent variable. The following continuous variables were categorized into binaries according to relevant clinical criteria to optimize the clinical applicability and ease of use of the prediction scale: base excess < −6, lactate > 2 mmol/l, pH < 7.35, hemoglobin < 10 g/dl, platelets < 100 × 109/l, ionic calcium < 1 mmol/l and SI > 0.9. Patient age was also categorized (≤45 years) according to the Spanish mean for severe trauma. The goodness of fit of the model was evaluated using the Hosmer-Lemeshow test. Regression results were expressed as odds ratios (ORs) with 95% confidence interval (95%CI). Multicollinearity was assessed for both Cox and logistic regressions, and the results are reported in Appendix B, Supplementary material.

  • ROC (receiver operating characteristic) curve. For the construction of the hypofibrinogenemia predictive scale, one point was assigned to each of 6 independent predictors identified, which allowed us to generate a scale with a range of 0−6. The name FiT-6 (Fibrinogen in Trauma-6) was chosen in reference to the total number of predictors included, and to facilitate memorization, applicability, and clinical dissemination of the scale. The predictive capacity of FiT-6 was assessed based on the area under the curve (AUC)-ROC. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy were calculated for each point of the scale. Youden's index was used to select the optimal predicted probability cut-off point.

  • Internal validation of the scale. Two internal validation strategies were used to validate the stability of the model. First, a 10-fold cross-validation was performed by averaging the performance of the trained and validated model on alternate subsets of the sample. Second, the optimism-adjusted AUC-ROC was estimated using the bootstrap method with 1000 replicates.

Analyses were performed with the SPSS version 24 statistical package (Armonk, NY; IBM Corp.) and R v4.4.1 (R Core Team, Austria). Missing values not exceeding 10% were imputed (Appendix B, Supplementary material). Statistical significance was considered at P < .05.

Results

During the study period, a total of 931 patients were admitted due to traumatic illness, of whom 754 were included in the analysis. The median age was 52 years (IQR: 37–67), and 74.4% were male. Most subjects presented with blunt trauma, and penetrating trauma was rare (3.4%). The median ISS and Retrascore were 22 (IQR: 16−27) and 4 (IQR: 2−7), respectively. Baseline patient characteristics are described in Tables 1 and 2.

Table 1.

Demographic characteristics of the study population and comparison between survivors and deceased patients.

  Total  Survivors  Deceased  P 
  n = 754  n = 646  n = 108   
Demographic factors
Age  52 (37−67)  48 (34−64)  67 (54−75)  < .001 
Sex        .42 
Male  563 (74.7%)  479 (74.1%)  84 (77.8%)   
Female  191 (25.3%)  170 (25.9%)  24 (22.2%)   
Previous anticoagulants  41 (5.4%)  31 (4.8%)  10 (9.3%)  .06 
Previous antiplatelet agents  51 (6.8%)  33 (5.1%)  18 (16.7%)  < .001 
Trauma type
Blunt  728 (96.6%)  621 (96.1%)  107 (99.1%)  .12 
Penetrating  26 (3.4%)  25 (3.9%)  1 (0.9%)  .12 
Mechanism of injury
Traffic accident  270 (35.8%)  237 (31.4%)  33 (30.5%)  .23 
Fall from a height  252 (33.4%)  215 (33.3%)  37 (24.3%)  .82 
Run over  72 (9.5%)  59 (9%)  14 (13%)  .22 
Others  160 (21.2%)  135 (20.9%)  24 (22.2%)  .78 
Severity
ISS score  22 (16−27)  20 (16−25)  26 (25−38)  < .001 
AIS score ≥ 3         
Cranial/neck  425 (56.4%)  335 (51.9%)  90 (83.3%)  < .001 
Thorax  294 (39%)  254 (39.3%)  40 (37%)  .65 
Abdomen  131 (17.4%)  114 (17.6%)  17 (15.7%)  .62 
Extremities  185 (24.5%)  166 (25.7%)  19 (17.6%)  .07 
Retrascore  4 (2−7)  3 (2−6)  9 (6−11)  < .001 
Glasgow Coma Scale  14 (9−15)  14 (11−15)  8 (4−14)  < .001 

AIS: Abbreviated Injury Scale; ISS: Injury Severity Score.

Data are reported as numbers with corresponding percentages (%) or as medians with corresponding confidence intervals (95%CI).

Table 2.

Clinical and laboratory test characteristics of the study population and comparison between survivors and deceased patients.

  Total  Survivors  Deceased  P 
  n = 754  n = 646  n = 108   
Clinical situation
Shock index         
Pre-hospital  0.75 (0.62−0.92)  0.75 (0.63−0.91)  0.74 (0.58−1.02)  .91 
Hospital  0.69 (0.57−0.93)  0.69 (0.57−0.90)  0.71 (0.53−1.10)  .44 
>0.9  272 (36.1%)  223 (34.5%)  49 (45.4%)  .03 
Hemorrhagic shock  123 (16.3%)  88 (13.6%)  35 (32.4%)  < .001 
Hypothermia  53 (7%)  39 (6%)  14 (13%)  .004 
Traumatic cardiac arrest  30 (4%)  9 (1.4%)  21 (19.4%)  < .001 
Massive hemorrhage  84 (11.1%)  66 (10.2%)  18 (16.7%)  .05 
Transfusion ≥ 2 packed red cell units  199 (26.4%)  158 (24.4%)  41 (37.9%)  .03 
Tranexamic acid received  148 (19.6%)  123 (19%)  23.1%  .32 
Fibrinogen concentrate received  94 (12.4%)  75 (11.7%)  19 (17.6%)  .07 
Trauma-induced coagulopathy  125 (16%)  89 (13.8%)  32 (29.6%)  .003 
Acute renal dysfunction  108 (14.3%)  68 (10.5%)  40 (37%)  < .001 
Laboratory
Base excess  –2.6 (–5.4 to −0.1)  –2.4 (–4.9 to –0.0)  –4.6 (–9.2 to –1.5)  < .001 
>–6  165 (21.9%)  119 (18.4%)  46 (42.6%)  < .001 
Lactate  1.8 (1.3−2.8)  1.7 (1.3−2.6)  2.9 (1.9−5.9)  < .001 
>2 mmol/l  325 (43.1%)  247 (38.2%)  78 (72.2%)  < .001 
pH  7.35 (7.30−7.39)  7.35 (7.31−7.39)  7.32 (7.23−7.39)  < .001 
<7.35  375 (49.7%)  305 (47.2%)  70 (64.8%)  < .001 
Hemoglobin  11.3 (9.6−13.0)  11.4 (9.7−13.0)  10.6 (8.8−12.6)  .01 
<10 g/dl  231 (30.6%)  189 (29.3%)  42 (38.9%)  .04 
Platelets  225 (180−282)  233 (187−285)  187 (147−227)  < .001 
Fibrinogen  376 (284−480)  383 (291−489)  343 (214−429)  < .001 
<200 mg/dl  52 (6.9%)  33 (5.1%)  19 (17.6%)  < .001 
<150 mg/dl  24 (3.2%)  9 (1.4%)  15 (13.9%)  < .001 

Data are reported as numbers with their corresponding percentage (%) or as medians with their corresponding confidence interval (95%CI).

The ICU mortality rate was 14.3% (108/754). Patients who died were significantly older and had greater severity according to the ISS (median 67 [IQR: 54−75] vs. 48 [IQR: 34−64] years; P < .001; median 26 [IQR: 25−38] vs. 20 [IQR: 16−25]; P < .001). The same group also had a higher incidence of hemorrhagic shock (32.4% vs. 13.6%; P < .001), traumatic cardiac arrest (19.4% vs. 1. 4%; P < .001), TIC (29.6% vs. 13.8%; P = .003), and acute renal dysfunction (37% vs. 10.5%; P < .001). Regarding the fibrinogen levels, deceased patients were more likely to have levels < 200 mg/dl (17.6% vs. 5.1%; P < .001) and <150 mg/dl (13.9% vs. 1.4%; P < .001). Cox regression showed a non-linear association between fibrinogen levels and ICU mortality. After adjustment for confounders, an inflection point was identified at 203 mg/dl, above which mortality increased significantly (hazard ratio: 1.66; 95%CI: 1.01–2.72; P = .046, Fig. 1). This threshold was used to define the presence of hypofibrinogenemia.

Figure 1.

Plot corresponding to the Cox regression analysis with restricted cubic splines.

There was a clear non-linear relationship between baseline fibrinogen levels and ICU mortality. From a critical threshold (fibrinogen 203 mg/dl, HR 1.66; 95%CI: 1.01–2.72; P = .046), mortality increased significantly with decreasing fibrinogen levels. The regression model was adjusted for age, the Injury Severity Score (ISS), initial vasopressor requirements, trauma-induced coagulopathy, acute renal dysfunction, need for transfusion > 2 packed red cell units, acidosis, the cranial Abbreviated Injury Scale (AIS), hypothermia, the Glasgow scale, traumatic cardiac arrest, initial hemoglobin < 10 g/dl and previous antiplatelet medication.

Table 3 describes the comparative characteristics between the hypofibrinogenemia and non-hypofibrinogenemia groups. The cohort with hypofibrinogenemia (≤203 mg/dl) had greater clinical severity, a higher incidence of extracranial hemorrhagic lesions, greater hemodynamic instability, and laboratory test data suggestive of tissue hypoxia. Multivariate analysis showed that the following variables were independently associated with the presence of hypofibrinogenemia (≤203 mg/dl): ionic calcium < 1.00 mmol/l (OR: 3.06; 95%CI: 1.70–5.47), hemoglobin < 10 g/dl (OR: 2.80; 95%CI: 1.56–5.01), platelet count < 100 × 109/l (OR: 2.25; 95%CI: 1.13–4.48), base excess < –6 (OR: 2.06; 95%CI: 1.09–3.86), SI > 0.9 (OR: 2.05; 95%CI: 1.06–3.97), and lactate > 2 mmol/l (OR: 2.04; 95%CI: 1.09–3.78), as shown in Fig. 2.

Table 3.

Comparison between patients with hypofibrinogenemia and those with normal fibrinogen levels.

  Hypofibrinogenemia (≤203 mg/dl)  Normal fibrinogen (>203 mg/dl)  P 
  n = 82  n = 672   
Demographic factors
Age      .41 
≤45  37 (45.1%)  272 (40.5%)   
>45  45 (54.9%)  400 (59.5%)   
Sex      .09 
Male  55 (67.1%)  508 (75.6%)   
Female  27 (32.9%)  164 (24.4%)   
Previous anticoagulants  2 (2.4%)  39 (5.8%)  .20 
Previous antiplatelet agents  4 (4.9%)  47 (7%)  .47 
Obesity (BMI > 30)  20 (24.3%)  127 (18.9%)  .22 
Severity
ISS score  29 (20−42)  21 (16−25)  < .001 
TBI grade      < .001 
Mild  33 (40.2%)  366 (54.5%)   
Moderate  9 (11%)  111 (16.5%)   
Severe  40 (48.8%)  195 (29%)   
AIS score ≥ 3       
Cranial/neck  41 (50%)  384 (57.1%)  .21 
Thorax  46 (56.1%)  248 (36.9%)  < .001 
Abdomen  29 (35.4%)  102 (15.2%)  < .001 
Extremities  47 (57.3%)  138 (20.5%)  < .001 
Retrascore  6 (4−10)  4 (2−6)  < .001 
Anatomical hemorrhagic lesions
Brain contusion  18 (22%)  208 (31%)  .09 
Epidural hematoma  2 (2.4%)  51 (7.6%)  .08 
Subdural hematoma  18 (22%)  205 (30.5%)  .10 
Subarachnoid hemorrhage  28 (34.1%)  264 (39.3%)  .36 
Hemothorax  24 (29.3%)  101 (15%)  < .001 
Hemoperitoneum  19 (23.2%)  57 (8.5%)  < .001 
Pelvic fracture  35 (42.7%)  97 (14.4%)  < .001 
Femoral fracture  17 (20.7%)  62 (9.2%)  < .001 
Clinical situation
Shock index > 0.9  59 (72%)  213 (31.7%)  < .001 
Vasopressor use  37 (45.1%)  86 (12.8%)  < .001 
Hypothermia (Temp. <35 °C)  18 (21.9%)  35 (5.2%)  < .001 
Laboratory
Base excess > –6  43 (47.6%)  122 (18.2%)  < .001 
Lactate > 2 mmol/l  62 (75.6%)  263 (39.1%)  < .001 
Acidosis (pH < 7.35)  59 (72%)  316 (47%)  < .001 
Hemoglobin < 10 g/dl  54 (65.9%)  177 (26.3%)  < .001 
Platelets < 100 × 109/l  29 (35.4%)  51 (7.6%)  < .001 
Ionic calcium < 1 mmol/l  46 (56.1%)  97 (14.4%)  < .001 

AIS: Abbreviated Injury Scale; BMI: body mass index; ISS: Injury Severity Score; TBI: traumatic brain injury.

Data are reported as numbers with their corresponding percentage (%) or as medians with their corresponding confidence interval (95%CI). The Shock index was considered both when >0.9 in the prehospital setting and in initial management in the emergency room.

Figure 2.

Binary logistic regression constructed to identify factors independently associated with hypofibrinogenemia (≤203 mg/dl).

The predictors associated with hypofibrinogenemia were those surrogate markers of tissue hypoperfusion, both clinical (shock index) and laboratory (lactate, base excess, low hemoglobin), as well as those involved in hemostasis (platelet count and ionic calcium), whereas neither severity according to ISS nor any anatomical hemorrhagic lesion alone were found to be factors associated with hypofibrinogenemia.

iCalcium: ionic calcium; ISS: Injury Severity Score; TBI: traumatic brain injury.

In the overall cohort, the AUC-ROC of the FiT-6 scale was 0.86 (95%CI: 0.82–0.90). After cross-validation, FiT-6 retained high predictive ability in the validation cohort (AUC-ROC: 0.90; 95%CI: 0.86–0.94) (Fig. 3). In addition, internal validation was performed using bootstrap, which showed an optimism-adjusted AUC-ROC of 0.86, confirming the stability of the model and minimizing the risk of overfitting. The optimal cut-off for the detection of hypofibrinogenemia was ≥3 points, with a sensitivity of 78%, specificity of 81%, Youden index of 0.59, and accuracy of 81%. In the sensitivity analysis, the discrimination of the scale was evaluated for cut-offs ≤ 200 mg/dl and ≤150 mg/dl, with similar results (AUC-ROC: 0.86, sensitivity 77% and specificity 81%; AUC-ROC: 0.91, sensitivity 87% and specificity 77%). The sensitivity analysis specifically for blunt trauma (excluding penetrating trauma) showed that the FiT-6 scale had an AUC-ROC of 0.89, with an optimal cut-off point of 3 points - these results being very similar to those of the main analysis.

Figure 3.

Area under the ROC (receiver operating characteristic) curve of the FiT-6 scale in the validation cohort.

The shock index was considered in both prehospital and initial hospital care. The remaining predictors were those extracted during initial trauma care.

Secondary outcomes are summarized in Table 4. Patients with hypofibrinogenemia required more surgical procedures to control bleeding, received more blood product transfusions, and had a higher incidence of MODS and ARDS.

Table 4.

Secondary results between the study groups.

  Hypofibrinogenemia (≤ 203 mg/dl)  Normal fibrinogen (> 203 mg/dl)  P 
  n = 82  n = 672   
Secondary results
ICU mortality  26 (31.7%)  82 (1.2%)  < .001 
Cause of death      < .001 
Hemorrhage  4 (15.4%)  4 (4.9%)   
Early MODS  5 (19.2%)  4 (4.9%)   
Late MODS  5 (19.2%)  10 (12.2%)   
Refractory intracranial hypertension  8 (30.8%)  36 (43.9%)   
Sepsis  2 (7.7%)  2 (2.4%)   
Other  2 (7.7%)  26 (31.7%)   
Stay
ICU  8 (2−24)  5 (3−13)  .10 
Hospital  16 (4−51)  13 (7−29)  .85 
IMV free days at 28 days  6 (0−22)  16 (0−25)  .01 
Interventions
Damage control surgery  33 (40.2%)  47 (7%)  < .001 
Splenectomy  9 (11%)  23 (3.4%)  < .001 
Pelvic fixation  16 (19.5%)  25 (3.7%)  < .001 
Long bone fixation  12 (14.6%)  27 (4%)  < .001 
Arteriography  11 (13.4%)  9 (1.3%)  < .001 
Treatment with tranexamic acid  50 (61%)  98 (14.2%)  < .001 
Treatment with fibrinogen concentrate  45 (54.8%)  49 (7.3%)  < .001 
Treatment with prothrombin complex  5 (6.1%)  21 (3.1%)  .16 
Blood products
Red cells (first 24 h)  4 (3−8)  2 (2−4)  < .001 
Fresh plasma (first 24 h)  2 (1.75−4)  2 (1−2)  < .001 
Platelets (first 24 h)  1 (0−2)  1 (1−1)  .004 
Complications
MODS  10 (12.2%)  23 (3.4%)  < .001 
ARDS  17 (20.7%)  66 (9.8%)  .003 
Septic shock  10 (12.2%)  50 (7.4%)  .13 
Thrombosis  6 (7.3%)  21 (3.1%)  .05 
Nosocomial infection  25 (30.5%)  143 (21.3%)  .06 

MODS: multiple organ dysfunction syndrome; ARDS: acute respiratory distress syndrome; IMV: invasive mechanical ventilation.

Data are reported as numbers with corresponding percentages (%) or as medians with corresponding confidence intervals (95%CI).

Discussion

Our main finding was that the FiT-6 scale allowed early and appropriate identification of patients at high risk for hypofibrinogenemia in the setting of major trauma. A FiT-6 score of ≥3 points was associated with a high likelihood of fibrinogen levels ≤ 203 mg/dl, increased mortality, and greater transfusion requirements. Application of the scale in clinical practice could serve as an early warning to clinicians of the need for fibrinogen supplementation before critical levels are reached.

This study has made it possible to develop a predictive scale for early hypofibrinogenemia based on variables that are readily accessible from the first hospital contact. Some of these variables, such as base excess, lactate level, SI, and hemoglobin concentration, indirectly reflect the extent of hypoxia and tissue damage, phenomena closely related to accelerated fibrinogen consumption.12–15 In addition, interestingly, FiT-6 includes two variables not previously described as predictors of hypofibrinogenemia: platelet count and ionic calcium levels. The former is involved in fibrin-mediated platelet aggregation,16 while the latter acts as an essential cofactor in various phases of coagulation and can be reduced during hemostasis or by the effect of citrate on blood components.17 Both variables were found to be independently associated with early fibrinogen alterations, reinforcing their role in the pathophysiology of TIC. It is important to note that although FiT-6 was developed as a predictive scale for early hypofibrinogenemia, it does not directly predict hypofibrinogenemia per se, as this condition depends on multiple complex pathophysiological mechanisms beyond bleeding, such as hemodilution, accelerated consumption, fibrinolysis, hypothermia, acidosis, and endothelial dysfunction. Rather, FiT-6 identifies a clinical profile consistent with acute hemorrhage and tissue injury in which hypofibrinogenemia is significantly more likely to be present.

Previously, Gauss et al.18 proposed the FibAT scale to detect early hypofibrinogenemia (≤150 mg/dl) in patients with severe trauma. This scale is based on 8 variables (age < 33 years, heart rate > 100 bpm, systolic blood pressure < 100 mmHg, hemoglobin < 12 g/dl, hemoglobin delta > 2 g/dl, lactate > 2.5 mmol/l, temperature < 36 °C, and the presence of free intra-abdominal fluid). The authors considered a score of ≥5 to provide high specificity for the detection of hypofibrinogenemia, which could allow assessment of early initiation of treatment. Although FibAT is a valuable, timely, and well-constructed tool for the early detection of hypofibrinogenemia in severe trauma, it has some relevant differences from FiT-6 that may make the latter more efficient and applicable in our setting. First, FiT-6 requires only three positive variables to suggest early fibrinogen replacement compared to the five required by FibAT, making it more agile and feasible in high-pressure care scenarios. In addition, FiT-6 incorporates two key markers in the pathophysiology of traumatic coagulopathy (platelet count and ionic calcium levels) that are not considered in FibAT, giving it greater biological depth. Another important consideration relates to the FibAT criteria, such as age < 33 years, which could limit its sensitivity in populations such as ours, where the mean age of the patients was 57 years (the Spanish mean is close to 45 years), or the temperature cut-off of <36 °C, which could be considered somewhat permissive, including as hypothermic patients those individuals with temperatures above 35 °C, who would not normally be classified as hypothermic from a clinical point of view.

On the other hand, FiT-6 would have a strategic advantage if blood gas analyzers were available in the prehospital setting, since 5 of its 6 variables could be assessed at the actual trauma scene. This would make it possible to identify patients at high risk of hypofibrinogenemia before hospital admission, allowing early administration of fibrinogen before hospital arrival in cases where three or more criteria are present. This application would have great clinical potential and could be effectively integrated even in centers with viscoelastic testing, where FiT-6 would serve as an initial screening or therapeutic activation tool while viscoelastic test results are being processed. However, these strategies and the potential therapeutic impact of FiT-6 use in the prehospital setting should be validated by future prospective studies.19 It is also worth noting that even in the hospital setting, the FiT-6 scale could be useful in centers that do not have viscoelastic testing, since all its parameters can be obtained in a matter of minutes during initial care using a blood gas analyzer and an urgent blood count. This approach would make it possible to anticipate the need for fibrinogen replenishment more quickly than with conventional coagulation tests, which typically take considerably longer to provide results. An important aspect of the FiT-6 is its good diagnostic performance in detecting hypofibrinogenemia in patients with severe trauma. Its high NPV makes it a useful tool to rule out the disorder when the score is below 3, which can avoid unnecessary testing or treatment. In contrast, when the score is equal to 3, the PPV reaches 33.3%, meaning that one in three patients with this score has a hypofibrinogenemic profile. Although this value may seem limited, it represents a clinically relevant increase over the baseline prevalence (close to 11%) and could be sufficient to justify early administration of fibrinogen according to clinical judgment, especially in contexts of high suspicion. On the other hand, when FiT-6 is ≥4, the PPV increases significantly, which could provide even more robust support for early therapeutic decision-making in the initial management of major trauma.

The fibrinogen level at which replacement should be considered is still controversial. The European guidelines for massive bleeding recommend fibrinogen administration when levels are ≤150 mg/dl.7 However, the authors of these guidelines recognize that this cut-off represents a critical threshold, and in recent years, there has been an increasing tendency to initiate replacement therapy to achieve levels above 200 mg/dl. The HEMOMAS II document 8, which summarizes the Spanish recommendations for the management of massive bleeding, suggests considering the administration of fibrinogen when levels are below 150−200 mg/dl. This variability in proposed thresholds is partly explained by the fact that many studies have reported worse clinical outcomes in patients with severe trauma and levels ≤ 150 mg/dl20,21 as well as in patients with massive traumatic bleeding.22 Most of these publications define hypofibrinogenemia from critical levels, but other studies have found adverse associations even at levels below 200 mg/dl. Hagemo et al.,23 in a multicenter study of 1133 polytraumatized patients in several countries, identified an inflection point at 229 mg/dl, below which mortality at 28 days is significantly increased. In line with these findings, our study showed a similar nonlinear relationship with ICU mortality, setting the threshold for hypofibrinogenemia at 203 mg/dl. Both studies support the hypothesis that fibrinogen concentrations below this level are associated with a marked increase in mortality risk, reinforcing the need for early replacement strategies in patients with massive bleeding.

The effects of hypofibrinogenemia are not limited to cases of active bleeding. It has also been shown to be detrimental in patients with isolated traumatic brain injury (TBI). In a retrospective study by Lv et al.,24 of 2570 individuals with TBI, fibrinogen levels < 200 mg/dl at admission were independently associated with increased mortality at three months. In addition, the authors found that levels between 250 and 300 mg/dl correlated with better functional outcomes according to the Glasgow Outcome Score (GOS), further supporting the clinical relevance of fibrinogen as a prognostic biomarker even in the absence of massive hemorrhage. The clinical relevance of maintaining fibrinogen levels above 200 mg/dl has recently been supported by two clinical trials in neurotrauma. In one, Sabouri et al.25 found that administration of fibrinogen concentrate to maintain levels above this threshold in patients with severe TBI was associated with improved short-term neurological outcome and better control of hematoma expansion. Niakan et al.26 showed that correcting low fibrinogen levels (150−200 mg/dl) to >200 mg/dl in patients with severe TBI requiring neurosurgery resulted in a significant reduction in intraoperative bleeding. Taken together, these findings suggest that maintaining fibrinogen levels in the optimal range may help to optimize the prognosis of patients with TBI, both functionally and in terms of bleeding control. It should also be noted that in patients with TBI and concomitant hemorrhagic shock, the incidence of TIC can reach figures close to 60%, which is also associated with a significant increase in mortality. These data reinforce the need for early detection of alterations such as hypofibrinogenemia in particularly vulnerable patient subgroups, such as TBI with concomitant bleeding.27

This study has several limitations that should be considered when interpreting the results.

In effect, the retrospective nature of the analysis makes it susceptible to unobserved confounding factors that may have influenced the results or limited their applicability to other populations. However, a regression model adjusted for several relevant covariates in the trauma population was used, and a nonlinear regression analysis was performed that showed a progressive association between fibrinogen levels and mortality, making the results more robust than the simple definition of a cut-off point. Although some indication bias may exist because patients with hypofibrinogenemia received more harm reduction interventions, the actual impact on outcomes appears to be limited for two reasons. First, clinical severity was carefully adjusted for in the multivariate models, which reduces the risk of indication bias. Second, despite more intensive management, the hypofibrinogenemia group had higher mortality, suggesting that treatment was not a favorable confounder. Conversely, if such interventions had exerted a protective effect, it is reasonable to postulate that the association between hypofibrinogenemia and mortality might be underestimated rather than overestimated. Furthermore, the predictors included in the model (markers of tissue hypoxia, bleeding, and coagulopathy) have a robust pathophysiological basis that supports their clinical relevance.

On the other hand, although the FiT-6 scale has been developed and validated internally using cross-validation and bootstrap techniques, external validation is needed. It will be necessary to confirm the reproducibility and applicability of the scale in other cohorts of trauma patients. As the number of patients with hypofibrinogenemia was limited, a larger cohort may be required to strengthen the stability and generalizability of the model. External validation has already been considered as the next phase of the present project, to strengthen the robustness of the model and its clinical applicability.

In turn, in this study, fibrinogen levels were determined by the prothrombin time (PT) derived method, which is included in the standard panel of coagulation tests at hospital admission. Although the international reference is the Clauss method, in our center, it is reserved for cases with derived levels below 170 mg/dl, in line with the common practice of many national reference centers. It is important to note that the PT-derived method may overestimate the actual fibrinogen levels measured by the Clauss method, especially when these are low, as occurs in the context of coagulopathy, hypoperfusion, or massive hemorrhage. This overestimation may lead to an underestimation of the severity of hypofibrinogenemia, with possible clinical implications. However, the FiT-6 scale is not intended to predict absolute fibrinogen levels, but to identify a clinical profile compatible with a high risk of hypofibrinogenemia. Therefore, we believe that the utility of the tool is maintained even in contexts where the derived method is used. This methodological consideration is closely related to the need for external validation discussed in the previous limitation.

In turn, most of the cases in our cohort were blunt trauma, with a low representation of penetrating trauma, which could reduce the discriminatory capacity of the scale in this specific subgroup. However, penetrating trauma has a low incidence both in Spain and in Europe, with reported rates of around 4%; the distribution of our cohort is therefore consistent with that observed in other national and international registries of larger size, supporting the applicability of the analysis in our health care context.28 Finally, the therapeutic impact of the FiT-6 scale on clinical outcomes was not evaluated, which would require future prospective studies to validate its usefulness as a decision-making tool in the management of trauma patients.

In conclusion, the FiT-6 scale was developed and internally validated, being a simple clinical tool based on parameters accessible from admission, and which allows the early prediction of low fibrinogen levels - a condition associated with increased mortality and transfusion requirements. Its application could help in early therapeutic decision-making in severe traumatic disease, although our scale must be prospectively and externally validated to confirm its usefulness and clinical impact on patients.

CRediT authorship contribution statement

ARB, GS, MC, SC, SU, XD, NM, JB, RA, MB, AR, and GM contributed to the conception, study design, data collection, analysis, and interpretation of the data. ARB, GS, MC, SC, SU, AR, MB, and GM participated in drafting the article and critical revision of its intellectual content. ARB, GS, MC, SC, SU, XD, NM, JB, RA, MB, AR, and GM contributed to the final approval of the version submitted.

Declaration of Generative AI and AI-assisted technologies in the writing process

The authors used ChatGPT-4 (OpenAI) as an assistive tool to improve the readability and clarity of the text under their supervision and responsibility.

Financing

None.

Declaration of competing interest

The authors declare that they have no conflicts of interest.

Acknowledgments

The authors would like to thank the entire multidisciplinary team involved in the care of severe trauma patients at the prehospital and hospital levels.

Appendix A
Supplementary data

The following is Supplementary data to this article:

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