Admission Lactate and Base Deficit in Predicting Outcomes of Pediatric Trauma

Serial Lactate in Clinical Medicine - A Narrative Review

BackgroundBlood lactate is commonly used in clinical medicine as a diagnostic, therapeutic and prognostic guide. Lactate's growing importance in many disciplines of clinical medicine and academic enquiry is underscored by the tenfold increase in publications over the past 10 years. Lactate monitoring is presently shifting from single to serial measurements, offering a means of assessing response to therapy and to guide treatment decisions. With the promise of wearable lactate sensors and their potential integration in electronic patient records and early warning scores, the utility of serial lactate measurement deserves closer scrutiny.MethodsArticles included in this review were identified by searching MEDLINE, PubMed and EMBASE using the term "lactate" alone and in combination with "serial", "point of care", "clearance", "prognosis" and "clinical". Authors were assigned vetting of publications according to their specialty (anesthesiology, intensive care, trauma, emergency medicine, obstetrics, pediatrics and general hospital medicine). The manuscript was assembled in multidisciplinary groups guided by underlying pathology rather than hospital area.FindingsLactate's clinical utility as a dynamic parameter is increasingly recognized. Several publications in the last year highlight the value of serial measurements in guiding therapy. Outside acute clinical areas like the emergency room, operating room or intensive care, obtaining lactate levels is often fraught with difficulty and delays.InterpretationMeasuring serial lactate and lactate clearance offers regular feedback on response to therapy and patient status. Particularly on the ward, wearable devices integrated in early warning scores via the hospital IT system are likely to identify deteriorating patients earlier than having to rely on observations by an often-overstretched nursing workforce.

Machine-learning-based evaluation of the usefulness of lactate for predicting neonatal mortality in preterm infants

BACKGROUND

Unlike in adult and pediatric patients, the usefulness of lactate in preterm infants has not been thoroughly discussed. This study aimed to evaluate whether the lactate level in the first hours of life is an important factor associated with neonatal death in very-low-birth-weight (VLBW) preterm infants.

METHODS

Electronic medical records from a level 4 neonatal intensive care unit in South Korea were reviewed to obtain perinatal and neonatal outcomes. Data on lactate levels of preterm infants in the first 12 h of life were collected. Neonatal mortality and morbidities were compared based on lactate levels. Subsequently, machine-learning models incorporating 20 independent variables, both with and without lactate, were compared for model performances and feature importance of lactate for predicting in-hospital mortality in the applicable models.

RESULTS

One hundred and sixty-eight preterm infants were included. Death rates on days 7 and 30 of life (D30-mortality) were significantly higher in infants with high lactate levels (≥3rd interquartile range) than in those with lower levels (<3rd interquartile range). Though statistically insignificant, the overall in-hospital mortality was more than twice as high in the high lactate level group than in the lower lactate level group. Based on the machine learning results, Random Forest, Gradient Boosting, and LightGBM models all showed greater area under the curves when lactate was included. Lactate consistently ranked in the variables of top five feature importance, particularly showing the greatest value in the Gradient Boosting model.

CONCLUSION

Lactate levels during the early hours of life may be an important factor associated with in-hospital death of preterm VLBW infants. Based on the enhanced performance of the above-mentioned machine learning models, lactate levels in the early postnatal period may add to assessing the clinical status and predicting the hospital course in this population.

Lactate Levels as a Predictor of Emergency Department Revisits in Infants With Acute Bronchiolitis

OBJECTIVE

This study aimed to identify predictive biomarkers for unscheduled emergency department (ED) revisits within 24 hours of discharge in infants diagnosed with acute bronchiolitis (AB).

METHODS

A retrospective observational study was conducted on infants diagnosed with AB who visited 3 emergency medical centers between January 2020 and December 2022. The study excluded infants with comorbidities, congenital diseases, and prematurity and infants who revisited the ED after 24 hours of discharge. Demographic data, vital signs, and laboratory results were collected from the medical records. Univariable and multivariable logistic regression analyses were performed on factors with P of less than 0.1 in univariable analysis. Receiver operator curve analysis was used to assess the accuracy of lactate measurements in predicting ED revisits within 24 hours of discharge.

RESULTS

Out of 172 participants, 100 were in the revisit group and 72 in the discharge group. The revisit group was significantly younger and exhibited higher lactate levels, lower pH values, and higher pCO 2 levels compared to the discharge group. Univariable logistic regression identified several factors associated with revisits. Multivariable analysis found that only lactate was a variable correlated with predicting ED revisits (odds ratio, 18.020; 95% confidence interval [CI], 5.764-56.334). The receiver operator curve analysis showed an area under the curve of 0.856, with an optimal lactate cutoff value of 2.15.

CONCLUSION

Lactate value in infants diagnosed with AB were identified as a potential indicator of predicting unscheduled ED revisits within 24 hours of discharge. The predictive potential of lactate levels holds promise for enhancing prognosis prediction, reducing health care costs, and alleviating ED overcrowding. However, given the study's limitations, a more comprehensive prospective investigation is recommended to validate these findings.

Impact of Lactate on Disseminated Intravascular Coagulation in Patients with Severe Trauma

Introduction

The association between elevated lactate levels and the development of disseminated intravascular coagulation (DIC) in patients with severe trauma remains unclear. Hence, this study aimed to explore the association between lactate and the development of DIC in patients with severe trauma.

Methods

This prospective cohort study was conducted on consecutive patients with severe trauma who were hospitalized in the intensive care unit from January 2020 to January 2023. The primary outcome measured was the occurrence of DIC in patients in the emergency department or posthospitalization. Logistic regression analysis evaluating the risk values for lactate and DIC, the receiver operating characteristic (ROC) curve, and decision curve analysis (DCA) examinations studying the predictive efficiency of lactate for DIC. The Kaplan-Meier survival curve was used to assess patient survival. Sensitivity robustness analysis included modified Poisson regression, E-value, subgroup analysis, and numerical variable transformation analysis.

Results

Logistic regression analysis corrected for confounding factors showed that lactate was a risk factor for DIC in patients with severe trauma (adjusted odds ratio [OR]: 1.374, 95% confidence interval [CI]: 1.206-1.566). Lactate predicted DIC risk with a 0.8513 area under the ROC curve (95% CI: 0.7827-0.9199), 4.8 cutoff value, 0.8333 sensitivity, and 0.8014 specificity. DCA showed the correlation between lactate and DIC. The mortality rate of patients with a high risk of DIC was significantly higher than that of patients with a low risk (log-rank test, P < 0.001). The modified Poisson regression showed that lactate was a risk factor for DIC (risk ratio: 1.188, 95% CI: 1.140-1.237). E-value was 1.645, and the lower limit of 95% CI was 1.495. The logistic regression analysis after subgroup analysis and transformation of numerical variables showed that lactate remained a risk factor for DIC.

Conclusions

Elevated lactate is closely associated with the occurrence of DIC in patients with severe trauma. Lactate seems to be a good predictive factor for DIC manifestation in patients with severe trauma.

Combination of Lactate and Base Deficit Levels at Admission to Predict Mortality in Blunt Trauma Patients

INTRODUCTION

Elevated lactate levels are associated with increased mortality in both trauma and non-trauma patients. The relation between base deficit (BD) and mortality is less clear. Traumatologists debate the utility of elevated lactate (EL) versus BD in predicting mortality. We hypothesized that EL (2mmol/L to 5mmol/L) and BD (≤-2mmol/L) in combination could predict mortality in blunt trauma patients.  Methods: This is a retrospective analysis of the trauma registry from 2012 to 2021 at a level 1 trauma center. Blunt trauma patients with admission lactate and BD values were included in the analysis. Exclusion criteria were age <18, penetrating trauma, unknown mortality, and unknown lactate or BD. Logistics regression of the total 5153 charts showed 93% of the patients presented with lactate levels <5mmol/L, therefore patients with lactate >5mmol/L were excluded as outliers. The primary outcome was mortality.

RESULTS

A total of 4794 patients (151 non-survivors) were included in the analysis. Non-survivors had higher rates of EL + BD (35.8% vs. 14.4%, p <0.001). When comparing survivors and non-survivors, EL + BD (OR 5.69), age >65 (5.17), injury severity score (ISS) >25 (8.87), Glasgow coma scale <8 (8.51), systolic blood pressure (SBP) <90 (4.2), and ICU admission (2.61) were significant predictors of mortality. Other than GCS <8 and ISS >25, EL + BD had the highest odds of predicting mortality.

CONCLUSION

Elevated lactate + BD on admission in combination represents a 5.6-fold increase in mortality in blunt trauma patients and can be used to predict a patient's outcome on admission. This combination variable provides an additional early data point to identify patients at elevated risk of mortality at the moment of admission.

A bibliometric analysis of publications on trauma-related hemorrhagic shock from 2012 to 2022: Research landscape and future trends

Trauma-related hemorrhagic shock is a global problem. This study aimed to analyze the knowledge domain and frontiers of trauma-related hemorrhagic shock research through a bibliometric analysis. Articles on trauma-related hemorrhagic shock published between 2012 and 2022 were retrieved from the Web of Science Core Collection, and a bibliometric analysis was conducted using CiteSpace and VOSviewer. A total of 3116 articles and reviews were analyzed. These publications primarily came from 441 institutions in 80 countries, with the USA having the highest number of publications, followed by China. Among the publications, Ernest E. Moore published the most papers, whereas John B. Holcomb had the most co-citations. The most productive institution was the University of Pittsburgh in the USA. The keyword burst and reference clustering analysis indicated that "reboa," "whole blood," "exsome," "glycocalyx," "endotheliopathy," and "predictor" are new trends and developing areas of interest. With the help of CiteSpace and VOSviewer, this study provides a deeper understanding of the research landscape, frontier hotspots, and future trends in trauma-related hemorrhagic shock over the last decade. "Whole blood" instead of "component therapy" shows potential advantage while "REBOA" is increasingly discussed in rapid hemostasis. This study provides important clues for researchers to understand the knowledge domain and frontiers of this study field.

Comparison of Base Deficit and Vital Signs as Criteria for Hemorrhagic Shock Classification in Children with Trauma

PURPOSE

Base deficit (BD) is superior to vital signs in predicting trauma outcomes in adults. The authors aimed to compare BD and vital signs as criteria for the four-tiered hemorrhagic shock classification in children with trauma.

MATERIALS AND METHODS

We retrospectively reviewed the data of 1046 injured children who visited a Korean academic hospital from 2010 through 2018. These children were classified separately based on BD (class I, BD ≤2.0 mmol/L; II, 2.1-6.0 mmol/L; III, 6.1-10 mmol/L; and IV, ≥10.1 mmol/L) and vital signs (<13 years: age-adjusted hypotension and tachycardia, and Glasgow Coma Scale; 13-17 years: the 2012 Advanced Trauma Life Support classification). The two methods were compared on a class-by-class basis regarding the outcomes: mortality, early transfusion (overall and massive), and early surgical interventions for the torso or major vessels.

RESULTS

In total, 603 children were enrolled, of whom 6.6% died. With the worsening of BD and vital signs, the outcome rates increased stepwise (most p<0.001; only between surgical interventions and vital signs, p=0.035). Mortality more commonly occurred in BD-based class IV than in vital signs-based class IV (58.8% vs. 32.7%, p=0.008). Early transfusion was more commonly performed in BD-based class III than in vital signs-based class III (overall, 73.8% vs. 53.7%, p=0.007; massive, 37.5% vs. 15.8%, p=0.001). No significant differences were found in the rates of early surgical interventions between the two methods.

CONCLUSION

BD can be a better predictor of outcomes than vital signs in children with severe hemorrhagic shock.