Clinical Features and Factors Associated With Sepsis-Associated Encephalopathy in Children: Retrospective Single-Center Clinical Study

Phoenix criteria for sepsis: are these enough to guide a clinician?

Sepsis is the leading cause of mortality in children worldwide. There is a paucity of data on the criteria used to define sepsis and septic shock and predict mortality. Schlapbach et al. published Phoenix criteria to define sepsis in JAMA in 2024. Previously, paediatricians have used systemic inflammatory response syndrome (SIRS) criteria, but these criteria lack sensitivity and specificity. This group recommends that sepsis in children be identified by a Phoenix Sepsis Score of at least 2 points in children with suspected infection, which indicates potentially life-threatening dysfunction of the respiratory, cardiovascular, coagulation, and/or neurological systems. Though included in the 8-point criteria, important criteria like renal and liver are missing from the main criteria. We remain worried about the way these criteria got excluded from the main criteria. Therefore, in this brief report, whilst commending the authors for this stelar task, we highlight the main pitfalls in these criteria especially the renal, neurologic, and liver criteria. These criteria have been shown to be independently associated with outcomes, and we recommend that in the future iterations of the criteria, renal and liver criteria should be defined according to latest definitions and the task force consider utilizing latest criteria for each organ system involved within the formulated criteria.

CONCLUSION

 In conclusion, Phoenix criteria are a step in the right direction to define life-threatening organ dysfunction in sepsis, but clinicians need to be mindful that diagnosis/treatment of less severe sepsis should not be delayed if these criteria are not met. Therefore, local early detection and management tools for sepsis should be followed.

WHAT IS KNOWN

• There has always been a quest for a definition for pediatric sepsis. There are limitations to the previous pediatric sepsis criteria which were published in 2005 by the International Pediatric Sepsis Consensus Conference (IPSCC). IPSCC defines sepsis as a suspected or confirmed infection in the presence of systemic inflammatory response syndrome (SIRS). These new Phoenix Pediatric Sepsis (PPS) criteria for sepsis and septic shock are intended to identify children with life-threatening organ dysfunction due to infection, and the score was developed based on a very large pediatric dataset.

WHAT IS NEW

• Though the intention of Phoenix criteria is to help identify children with life threatening organ dysfunction, unfortunately the crietria will miss signs of early sepis. In this manuscript, we point out some of the drawbacks of these criteria which need to be borne in mind while applying these criteria.

Diagnostic Identification of Acute Brain Dysfunction in Pediatric Sepsis and Septic Shock in the Electronic Health Record: A Comparison of Four Definitions in a Reference Dataset

OBJECTIVES

Acute brain dysfunction (ABD) in pediatric sepsis has a prevalence of 20%, but can be difficult to identify. Our previously validated ABD computational phenotype (CP ABD ) used variables obtained from the electronic health record indicative of clinician concern for acute neurologic or behavioral change. We tested whether the CP ABD has better diagnostic performance to identify confirmed ABD than other definitions using the Glasgow Coma Scale or delirium scores.

DESIGN

Diagnostic testing in a curated cohort of pediatric sepsis/septic shock patients.

SETTING

Quaternary freestanding children's hospital.

SUBJECTS

The test dataset comprised 527 children with sepsis/septic shock managed between 2011 and 2021 with a prevalence (pretest probability) of confirmed ABD of 30% (159/527).

MEASUREMENTS AND MAIN RESULTS

CP ABD was based on use of neuroimaging, electroencephalogram, and/or administration of new antipsychotic medication. We compared the performance of the CP ABD with three GCS/delirium-based definitions of ABD-Proulx et al, International Pediatric Sepsis Consensus Conference, and Pediatric Organ Dysfunction Information Update Mandate. The posttest probability of identifying ABD was highest in CP ABD (0.84) compared with other definitions. CP ABD also had the highest sensitivity (83%; 95% CI, 76-89%) and specificity (93%; 95% CI, 90-96%). The false discovery rate was lowest in CP ABD (1-in-6) as was the false omission rate (1-in-14). Finally, the prevalence threshold for the definitions varied, with the CP ABD being the definition closest to 20%.

CONCLUSIONS

In our curated dataset of pediatric sepsis/septic shock, CP ABD had favorable characteristics to identify confirmed ABD compared with GCS/delirium-based definitions. The CP ABD can be used to further study the impact of ABD in studies using large electronic health datasets.

A narrative review of neuromonitoring modalities in critically ill children

Acute neurologic injury is common in critically ill children. Some conditions - such as traumatic brain injury, meningitis, and hypoxic-ischemic injury following cardiac arrest - require careful consideration of cerebral physiology. Specialized neuromonitoring techniques provide insight regarding patient-specific and disease-specific insight that can improve diagnostic accuracy, aid in targeting therapeutic interventions, and provide prognostic information. In this review, we will discuss recent innovations in invasive (e.g., intracranial pressure monitoring and related computed indices) and noninvasive (e.g., transcranial doppler, near-infrared spectroscopy) neuromonitoring techniques used in traumatic brain injury, central nervous system infections, and after cardiac arrest. We will discuss the pertinent physiological mechanisms interrogated by each technique and discuss available evidence for potential clinical application. We will also discuss the use of innovative neuromonitoring techniques to detect and manage neurologic complications in critically ill children with systemic illness, focusing on sepsis and cardiorespiratory failure requiring extracorporeal membrane oxygenation.

A simple nomogram for predicting the mortality of PICU patients with sepsis-associated encephalopathy: a multicenter retrospective study

Background

As one of the serious complications of sepsis in children, sepsis-associated encephalopathy (SAE) is associated with significantly poor prognosis and increased mortality. However, predictors of outcomes for pediatric SAE patients have yet to be identified. The aim of this study was to develop nomograms to predict the 14-day and 90-day mortality of children with SAE, providing early warning to take effective measures to improve prognosis and reduce mortality.

Methods

In this multicenter, retrospective study, we screened 291 patients with SAE admitted to the PICU between January 2017 and September 2022 in Shandong Province. A least absolute shrinkage and selector operation (LASSO) method was used to identify the optimal prognostic factors predicting the outcomes in pediatric patients with SAE. Then, multivariable logistic regression analysis was performed based on these variables, and two nomograms were built for visualization. We used the area under the curve (AUC), calibration curves and decision curves to test the accuracy and discrimination of the nomograms in predicting outcomes.

Results

There were 129 patients with SAE in the training cohort, and there were 103 and 59 patients in the two independent validation cohorts, respectively. Vasopressor use, procalcitonin (PCT), lactate and pediatric critical illness score (PCIS) were independent predictive factors for 14-day mortality, and vasopressor use, PCT, lactate, PCIS and albumin were independent predictive factors for 90-day mortality. Based on the variables, we generated two nomograms for the early identification of 14-day mortality (AUC 0.853, 95% CI 0.787-0.919, sensitivity 72.4%, specificity 84.5%) and 90-day mortality (AUC 0.857, 95% CI 0.792-0.923, sensitivity 72.3%, specificity 90.6%), respectively. The calibration plots for nomograms showed excellent agreement of mortality probabilities between the observed and predicted values in both training and validation cohorts. Decision curve analyses (DCA) indicated that nomograms conferred high clinical net benefit.

Conclusion

The nomograms in this study revealed optimal prognostic factors for the mortality of pediatric patients with SAE, and individualized quantitative risk evaluation by the models would be practical for treatment management.

Development and validation of a nomogram to predict the risk of sepsis-associated encephalopathy for septic patients in PICU: a multicenter retrospective cohort study

BACKGROUND

Patients with sepsis-associated encephalopathy (SAE) have higher mortality rates and longer ICU stays. Predictors of SAE are yet to be identified. We aimed to establish an effective and simple-to-use nomogram for the individual prediction of SAE in patients with sepsis admitted to pediatric intensive care unit (PICU) in order to prevent early onset of SAE.

METHODS

In this retrospective multicenter study, we screened 790 patients with sepsis admitted to the PICU of three hospitals in Shandong, China. Least absolute shrinkage and selection operator regression was used for variable selection and regularization in the training cohort. The selected variables were used to construct a nomogram to predict the risk of SAE in patients with sepsis in the PICU. The nomogram performance was assessed using discrimination and calibration.

RESULTS

From January 2017 to May 2022, 613 patients with sepsis from three centers were eligible for inclusion in the final study. The training cohort consisted of 251 patients, and the two independent validation cohorts consisted of 193 and 169 patients. Overall, 237 (38.7%) patients developed SAE. The morbidity of SAE in patients with sepsis is associated with the respiratory rate, blood urea nitrogen, activated partial thromboplastin time, arterial partial pressure of carbon dioxide, and pediatric critical illness score. We generated a nomogram for the early identification of SAE in the training cohort (area under curve [AUC] 0.82, 95% confidence interval [CI] 0.76-0.88, sensitivity 65.6%, specificity 88.8%) and validation cohort (validation cohort 1: AUC 0.80, 95% CI 0.74-0.86, sensitivity 75.0%, specificity 74.3%; validation cohort 2: AUC 0.81, 95% CI 0.73-0.88, sensitivity 69.1%, specificity 83.3%). Calibration plots for the nomogram showed excellent agreement between SAE probabilities of the observed and predicted values. Decision curve analysis indicated that the nomogram conferred a high net clinical benefit.

CONCLUSIONS

The novel nomogram and online calculator showed performance in predicting the morbidity of SAE in patients with sepsis admitted to the PICU, thereby potentially assisting clinicians in the early detection and intervention of SAE.