Risk factors for sepsis in Korean trauma patients

A biomarker panel of C-reactive protein, procalcitonin and serum amyloid A is a predictor of sepsis in severe trauma patients

Severe trauma could induce sepsis due to the loss of control of the infection, which may eventually lead to death. Accurate and timely diagnosis of sepsis with severe trauma remains challenging both for clinician and laboratory. Combinations of markers, as opposed to single ones, may improve diagnosis. We compared the diagnostic characteristics of routinely used biomarkers of sepsis alone and in combination, trying to define a biomarker panel to predict sepsis in severe patients. This prospective observational study included patients with severe trauma (Injury severity score, ISS = 16 or more) in the emergency intensive care unit (EICU) at a university hospital. Blood samples were collected and plasma levels of procalcitonin (PCT), C-reactive protein (CRP), interleukin-6 (IL-6) and serum amyloid A (SAA) were measured using commercial enzyme linked immunosorbent assay (ELISA) kits. A total of 100 patients were eligible for analysis. Of these, 52 were diagnosed with sepsis. CRP yielded the highest discriminative value followed by PCT. In multiple logistic regression, SAA, CRP, and PCT were found to be independent predictors of sepsis. Bioscore which was composed of SAA, CRP, and PCT was shown to be far superior to that of each individual biomarker taken individually. Therefore, compared with single markers, the biomarker panel of PCT, CRP, and SAA was more predictive of sepsis in severe polytrauma patients.

The Risk Factors for Mortality among Septic Trauma Patients: A Retrospective Cohort Study Using the National Trauma Data Bank

Introduction

In trauma patients, the development of sepsis as a hospital complication is significantly associated with morbidity and mortality. We aimed to assess the risk factors associated with in-hospital mortality among trauma patients who developed sepsis during their hospital stay. Material and methods. Using the 2017 National Trauma Data Bank, a retrospective cohort study was conducted to identify adult trauma patients who developed sepsis during their hospital stay. The primary outcome of interest was in-hospital mortality. Multivariate analysis was used to determine the risk factors associated with in-hospital mortality.

Results

1782 trauma patients developed sepsis. 567 patients (31.8%) died during their hospital stay. The following patient factors were associated with higher odds of in-hospital mortality: age (OR = 1.045 95% CI = 1.036-1.054), chronic renal failure (OR = 2.564 95% CI = 1.528-4.301), and liver cirrhosis (OR = 3.699 95% CI = 2.267-6.033). Patients who developed cardiac arrest (OR = 4.994 95% CI = 3.381-7.378), acute kidney injury (OR = 3.808 95% CI = 2.837-5.110), acute respiratory distress syndrome (OR = 1.688 95% CI = 1.197-2.379), and stroke (OR = 1.998 95% CI = 1.075-3.714) during their hospital stay had higher odds of mortality. Higher Glasgow Coma Scale (13-15) at presentation was associated with lower odds of mortality (OR = 0.467 95% CI = 0.328-0.667).

Conclusion

Among trauma patients who developed sepsis, age, chronic renal failure, cirrhosis, the development of cardiac arrest, acute kidney injury, acute respiratory distress syndrome, and stroke in the hospital were associated with in-hospital mortality. These factors can be used to identify patients who are at higher risk of adverse outcomes and implement standardized or protocol-driven methods to improve patient care.

A Nomogram to Better Predict the In-Hospital Mortality of Trauma Patients with Sepsis in the Intensive Care Unit

BACKGROUND

Trauma has a high incidence and mortality worldwide, and sepsis is one of the main causes of mortality in trauma patients. Therefore, it is essential to identify the risk factors of in-hospital mortality for trauma patients with sepsis.

METHODS

Data were extracted from the Medical Information Mart for Intensive Care III database and divided into a training set and internal validation set, and another Chinese dataset was used as external validation set. Then, risk factors were estimated using univariate and multivariate logistic regression analyses in the training set. Finally, a nomogram was created to predict the probability of in-hospital mortality for trauma patients with sepsis.

RESULTS

A total of 503 patients were enrolled in our study (335 in the training set and 168 in the validation set). Multivariate logistic regression analysis revealed that age (1.047 [1.025-1.071]), respiratory rate (1.258 [1.135-1.394]), PTT (1.026 [1.008-1.044]), ventilation (6.703 [1.528-29.408]), and vasopressor use (3.682 [1.502-9.025]) were independent factors associated with in-hospital mortality. The nomogram for trauma-related sepsis predicted in-hospital mortality with AUC values of 0.8939 in the training set, 0.8200 in the internal validation set, and 0.7779 in the external validation set.

CONCLUSIONS

The new nomogram has a well predicted value for in-hospital mortality for patients with trauma and sepsis in intensive care units.

Polygenic Risk Score for Early Prediction of Sepsis Risk in the Polytrauma Screening Cohort

BACKGROUND

Increasing genetic variants associated with sepsis have been identified by candidate-gene and genome-wide association studies, but single variants conferred minimal alterations in risk prediction. Our aim is to evaluate whether a weighted genetic risk score (wGRS) that aggregates information from multiple variants could improve risk discrimination of traumatic sepsis.

METHODS

Sixty-four genetic variants potential relating to sepsis were genotyped in Chinese trauma cohort. Genetic variants with mean decrease accuracy (MDA) > 1.0 by random forest algorithms were selected to construct the multilocus wGRS. The area under the curve (AUC) and net reclassification improvement (NRI) were adopted to evaluate the discriminatory and reclassification ability of weighted genetic risk score (wGRS).

RESULTS

Seventeen variants were extracted to construct the wGRS in 883 trauma patients. The wGRS was significantly associated with sepsis after trauma (OR = 2.19, 95% CI = 1.53-3.15, P = 2.01 × 10-5) after being adjusted by age, sex, and ISS. Patients with higher wGRS have an increasing incidence of traumatic sepsis (P trend = 6.81 × 10-8), higher SOFA (P trend = 5.00 × 10-3), and APACHE II score (P trend = 1.00 × 10-3). The AUC of the risk prediction model incorporating wGRS into the clinical variables was 0.768 (95% CI = 0.739-0.796), with an increase of 3.40% (P = 8.00 × 10-4) vs. clinical factor-only model. Furthermore, the NRI increased 25.18% (95% CI = 17.84-32.51%) (P = 6.00 × 10-5).

CONCLUSION

Our finding indicated that genetic variants could enhance the predictive power of the risk model for sepsis and highlighted the application among trauma patients, suggesting that the sepsis risk assessment model will be a promising screening and prediction tool for the high-risk population.

Development and validation of a novel predictive score for sepsis risk among trauma patients

Background

Patients suffering from major trauma often experience complications such as sepsis. The early recognition of patients at high risk of sepsis after trauma is critical for precision therapy. We aimed to derive and validate a novel predictive score for sepsis risk using electronic medical record (EMR) data following trauma.

Materials and methods

Clinical and laboratory variables of 684 trauma patients within 24 h after admission were collected, including 411 patients in the training cohort and 273 in the validation cohort. The least absolute shrinkage and selection operator (LASSO) technique was adopted to identify variables contributing to the early prediction of traumatic sepsis. Then, we constructed a traumatic sepsis score (TSS) using a logistic regression model based on the variables selected in the LASSO analysis. Moreover, we evaluated the discrimination and calibration of the TSS using the area under the curve (AUC) and the Hosmer-Lemeshow (H-L) goodness-of-fit test.

Results

Based on the LASSO, seven variables (injury severity score, Glasgow Coma Scale, temperature, heart rate, albumin, international normalized ratio, and C-reaction protein) were selected for construction of the TSS. Our results indicated that the incidence of sepsis after trauma increased with an increasing TSS (P_trend = 7.44 × 10⁻²¹ for the training cohort and P_trend = 1.16 × 10⁻¹³ for the validation cohort). The areas under the receiver operating characteristic (ROC) curve of TSS were 0.799 (0.757–0.837) and 0.790 (0.736–0.836) for the training and validation datasets, respectively. The discriminatory power of our model was superior to that of a single variable and the sequential organ failure assessment (SOFA) score (P < 0.001). Moreover, the TSS was well calibrated (P > 0.05).

Conclusions

We developed and validated a novel TSS with good discriminatory power and calibration for the prediction of sepsis risk in trauma patients based on the EMR data.

Electronic supplementary material

The online version of this article (10.1186/s13017-019-0231-8) contains supplementary material, which is available to authorized users.

LBP rs2232618 polymorphism contributes to risk of sepsis after trauma

Background

Previous study revealed that rs2232618 polymorphism (Phe436Leu) within LBP gene is a functional variant and associated with susceptibility of sepsis in traumatic patients. Our aim was to confirm the reported association by enlarging the population sample size and perform a meta-analysis to find additional evidence.

Methods

Traumatic patients from Southwest (n = 1296) and Southeast (n = 445) of China were enrolled in our study. After genotyping, the relationship between rs2232618 and the risk of sepsis was analyzed. Furthermore, we proceeded with a comprehensive literature search and meta-analysis to determine whether the rs2232618 polymorphism conferred susceptibility to sepsis.

Results

Significance correlation was observed between rs2232618 and risk of sepsis in Southwest patients (P = 0.002 for the dominant model, P = 0.006 for the recessive model). The association was confirmed in Southeast cohort (P = 0.005 for the dominant model) and overall combined cohorts (P = 4.5 × 10^-4, P = 0.041 for the dominant and recessive model). Multiple logistical regression analyses suggested that rs2232618 polymorphism was related to higher risk of sepsis (OR = 1.77, 95% CI = 1.26-2.48, P = 0.001 in Southwest patients; OR = 2.11, 95% CI = 1.24-3.58, P = 0.006 in Southeast cohort; OR = 1.54, 95% CI = 1.34-2.08, P = 0.006 in overall cohort). Furthermore, meta-analysis of four studies (including the present study) confirmed that rs2232618 within LBP increased the risk of sepsis (OR = 1.75, P < 0.001 for the dominant model; OR = 6.08, P = 0.003 for the recessive model; OR = 2.72, P < 0.001 for the allelic model).

Conclusions

The results from our replication study and meta-analysis provided firm evidence that rs2232618T allele significantly increased the risk of sepsis.

Timing and Associated Factors for Sepsis-3 in Severe Trauma Patients: A 3-Year Single Trauma Center Experience

Background

We hypothesized that the recent change of sepsis definition by sepsis-3 would facilitate the measurement of timing of sepsis for trauma patients presenting with initial systemic inflammatory response syndrome. Moreover, we investigated factors associated with sepsis according to the sepsis-3 definition.

Methods

Trauma patients in a single level I trauma center were retrospectively reviewed from January 2014 to December 2016. Exclusion criteria were younger than 18 years, Injury Severity Score (ISS) <15, length of stay <8 days, transferred from other hospitals, uncertain trauma history, and incomplete medical records. A binary logistic regression test was used to identify the risk factors for sepsis-3.

Results

A total of 3,869 patients were considered and, after a process of exclusion, 422 patients were reviewed. Fifty patients (11.85%) were diagnosed with sepsis. The sepsis group presented with higher mortality (14 [28.0%] vs. 17 [4.6%], P<0.001) and longer intensive care unit stay (23 days [range, 11 to 35 days] vs. 3 days [range, 1 to 9 days], P<0.001). Multivariate analysis demonstrated that, in men, high lactate level and red blood cell transfusion within 24 hours were risk factors for sepsis. The median timing of sepsis-3 was at 8 hospital days and 4 postoperative days. The most common focus was the respiratory system.

Conclusions

Sepsis defined by sepsis-3 remains a critical issue in severe trauma patients. Male patients with higher ISS, lactate level, and red blood cell transfusion should be cared for with caution. Reassessment of sepsis should be considered at day 8 of hospital stay or day 4 postoperatively.

Danger signals in trauma

This review summarizes a short list of currently discussed trauma-induced danger-associated molecular patterns (DAMP). Due to the bivalent character and often pleiotropic effects of a DAMP, it is difficult to describe its "friend or foe" role in post-traumatic inflammation and regeneration, both systemically as well locally in tissues. DAMP can be used as biomarkers to indicate or monitor disease or injury severity, but also may serve as clinically applicable parameters for better indication and timing of surgery. Due to the inflammatory processes at the local tissue level or the systemic level, the precise role of DAMP is not always clear to define. While in vitro and experimental studies allow for the detection of these biomarkers at the different levels of an organism-cellular, tissue, circulation-this is not always easily transferable to the human setting. Increased knowledge exploring the dual role of DAMP after trauma, and concentrating on their nuclear functions, transcriptional targets, release mechanisms, cellular sources, multiple functions, their interactions and potential therapeutic targeting is warranted.

A Randomized Controlled Trial on Intra-Abdominal Irrigation during Emergency Trauma Laparotomy; Time for Yet Another Paradigm Shift

OBJECTIVE

To determine the optimal volume of abdominal irrigation that will prevent surgical site infections (both deep and superficial), eviscerations and fistula formations; and improve 30-day mortality in trauma patients.

METHODS

We conducted a three-arm parallel clinical superiority randomized controlled trial comparing different volumes of effluent (5, 10 and 20 liters) used in trauma patients (both blunt and penetrating) age 14 and above undergoing an emergency laparotomy between April 2002 and July 2004 in a busy urban Level 1 trauma center.

RESULTS

After randomization, a total of 204 patients were analyzed. All patient groups were comparable with respect to age, gender distribution, admission injury severity score, and mechanism of injury, estimated blood loss and degree of contamination. The mortality rate overall was 1.96% (4/204).No differences were noted with respect to contamination, wound infection, fistula formation, and evisceration. The twenty liter group (Group III) showed a trend toward an increased incidence of deep surgical site infections when compared to the five liter (Group I) (p=0.051) and ten liter (Group II) (p=0.057) groups. This did not however reach statistical significance.

CONCLUSION

The old surgical adage "the solution to pollution is dilution" is not applicable to trauma patients. Our results suggest that using more irrigation, even when large amounts of contamination have occurred, does not reduce post-operative complications or affect mortality; and it may predispose patients to increased incidence of abscess formation. (Trial registration number: ISRCTN66454589).