Evaluating Pediatric Sepsis Definitions Designed for Electronic Health Record Extraction and Multicenter Quality Improvement

Comparing Screening Tools for Predicting Phoenix Criteria Sepsis and Septic Shock Among Children

BACKGROUND AND OBJECTIVES

The Phoenix criteria for pediatric sepsis and septic shock have recently been proposed for worldwide application. The Phoenix sepsis criteria are based on organ dysfunction scoring. Although many screening tools exist, their performance in predicting Phoenix outcomes is not known. We hypothesized that the quick Pediatric Septic Shock Screening Score (qPS4) would demonstrate greater sensitivity compared with the Liverpool quick Sequential Organ Failure Assessment (LqSOFA) and a commonly used 2-stage screening tool created at Children's Hospital of Philadelphia (CHOP).

METHODS

We performed a secondary analysis of the qPS4 validation set data from a retrospective cohort study of pediatric emergency department patients with suspected infection. The exposure was a positive screen prior to outcome occurring. We calculated the predictive characteristics of qPS4, LqSOFA, and CHOP for Phoenix sepsis and septic shock within 24 hours of arrival.

RESULTS

We analyzed 47 176 encounters. Within 24 hours of arrival to the ED, 628 (1.3%) met criteria for sepsis and 228 (0.5%) met criteria for septic shock. The qPS4 predicted sepsis with 67.8% sensitivity and 89.6% specificity compared with LqSOFA (sensitivity 47.0%, specificity 95.7%) and the CHOP screen (sensitivity 49.7%, specificity 92.1%) (P < .05 for all compared to qPS4). The qPS4 predicted septic shock with 85.5% sensitivity and 89.0% specificity compared with LqSOFA (sensitivity 59.2%, specificity 95.2%) and the 2-stage CHOP screen (sensitivity 64.9%, specificity 91.5%) (P < .05 for all compared to qPS4).

CONCLUSIONS

The qPS4 predicted Phoenix sepsis and septic shock with greater sensitivity and clinically similar specificity compared with widely used bedside tools.

Development and Validation of an Artificial Intelligence Predictive Model to Accelerate Antibiotic Therapy for Critical Ill Children with Sepsis in the Pediatric ED with Pediatric ICU Disposition

Importance

Pediatric sepsis accounts for over 72,000 US hospitalizations annually with significant mortality and morbidity. Many pediatric hospitals struggle to promptly identify and treat sepsis. This study demonstrates the feasibility of a multi-tiered artificial intelligence (AI) to enhance sepsis clinical decision-making within a complex emergency department (ED) workflow.

Objectives

To develop and validate a local AI model predicting critical sepsis among ED patients who received a fluid bolus and a disposition to the Pediatric Intensive Care Unit (PICU) but had not yet received antibiotics.

Design

Retrospective observational cross-section study.

Setting

Urban, quaternary-care, academic healthcare system.

Patients

Pediatric ED patients.

Interventions

None.

Measures and Main Results

The "Sepsis on ED to PICU Disposition" (SEPD) model aimed to predict critical sepsis within 72 hours of PICU disposition using a dataset totaling 5,534 patient encounters for model training and testing. During silent implementation, 1,058 encounters were used for validation. The SEPD model outperformed a vendor-developed sepsis model with an AUROC of 81.8%, compared to 57.5%. The model also demonstrated better precision-recall performance, showing more balanced identification of true positives. During silent implementation, the SEPD model maintained similar sensitivity (85.29%) and specificity (60.45%) to those observed during model testing.

Conclusion

The SEPD model improved detection of critical sepsis among high-risk pediatric ED patients with a known PICU disposition, outperforming a vendor-developed sepsis model. Within a complex ED workflow, this model may facilitate timely sepsis identification and treatment in critically ill patients, who may have been missed during earlier stages of their ED course.

Sepsis Mortality in Hospitalized Children With Cancer Is Associated With Lack of a Screening Tool

OBJECTIVE

Sepsis is associated with significant morbidity and mortality in pediatric hematology, oncology, and transplant (PHOT) patients. This study characterized PHOT patients who developed hospital-onset sepsis more than 12 hours after admission and identified risk factors for 30-day sepsis-attributable (SA) mortality.

PATIENTS AND METHODS

We analyzed an existing multicenter database of sepsis collected prospectively over 5 years (2017-2021) as part of the Improving Pediatric Sepsis Outcomes Collaborative. Sepsis was defined using operational elements documented in the health records based on International Classification of Diseases, Tenth Revision codes, treatment, diagnostic tests, and sepsis screen, huddle, or order set use.

RESULTS

A total of 9604 sepsis episodes in PHOT patients from 49 hospitals were analyzed: 70.5% were identified in the emergency department (ED), 10.9% in inpatient settings less than or equal to 12 hours from admission, and 18.6% were hospital onset. Only 52.5% of patients with hospital-onset sepsis were identified using a sepsis recognition method compared with 87.2% in the ED (P < .001). The overall 30-day SA mortality was 2.2%, with a higher rate (6.9%) among those with hospital-onset sepsis compared with those who developed sepsis at presentation or less than or equal to 12 hours (1.1%, P < .001).

CONCLUSIONS

Although the difference in SA mortality between hospitalized and nonhospitalized patients may be impacted by nonmeasurable confounders inherent to the type of patients presenting in the different care settings, we reported system-based improvements that may reduce mortality. The 30-day SA mortality was lower in hospitalized PHOT patients when sepsis was detected by early recognition methods, supporting the need for efforts to implement sepsis recognition tools in the inpatient setting.

Phoenix Sepsis Criteria in Critically Ill Children: Retrospective Validation Using a United States Nine-Center Dataset, 2012-2018

OBJECTIVES

To perform: 1) external validation of the Phoenix Sepsis Score and Phoenix sepsis criteria in a multicenter cohort of critically ill children with infection and a comparison with the 2005 International Pediatric Sepsis Consensus Conference (IPSCC) criteria; 2) a study of Phoenix sepsis criteria performance in patient subgroups based on age and comorbidities; 3) an assessment of microbiological profile of children with Phoenix sepsis; and 4) a study of the performance of the Phoenix-8 score.

DESIGN

Secondary, retrospective analysis of a multicenter cohort study from 2012 to 2018.

SETTING

Nine PICUs in the United States.

PATIENTS

PICU admissions with suspected infection.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Among 25,680 encounters of children with suspected or confirmed infection on PICU admission (4.6% in-hospital mortality), 11,168 (43%) met Phoenix criteria for sepsis or septic shock (9% in-hospital mortality). The Phoenix criteria generally outperformed the IPSCC criteria at discriminating mortality in all critically ill children with infections and across all subgroup analyses, including age group, malignancy, or technology dependence. Of 11,168 patients who met Phoenix criteria, 28% were negative for IPSCC criteria for sepsis and these had higher in-hospital mortality than those who met IPSCC sepsis criteria but not Phoenix criteria (4.7% vs.1.7%; p < 0.001), which was similar to the mortality of patients without sepsis (1.3%). Sepsis was associated with respiratory or bloodstream infection, most commonly Pseudomonas aeruginosa or Staphylococcus aureus. The Phoenix-8 score had good discrimination of mortality in children with infections, comparable to or better than validated and widely used severity of illness and organ dysfunction scores.

CONCLUSIONS

In 2012-2018, among U.S. patients with suspected or confirmed infection admitted to nine PICUs, those with the highest risk of mortality can be identified using the Phoenix sepsis criteria, including in children of different age groups and those with major comorbidities.

A scoping review on pediatric sepsis prediction technologies in healthcare

This scoping review evaluates recent advancements in data-driven technologies for predicting non-neonatal pediatric sepsis, including artificial intelligence, machine learning, and other methodologies. Of the 27 included studies, 23 (85%) were single-center investigations, and 16 (59%) used logistic regression. Notably, 20 (74%) studies used datasets with a low prevalence of sepsis-related outcomes, with area under the receiver operating characteristic scores ranging from 0.56 to 0.99. Prediction time points varied widely, and development characteristics, performance metrics, implementation outcomes, and considerations for human factors-especially workflow integration and clinical judgment-were inconsistently reported. The variations in endpoint definitions highlight the potential significance of the 2024 consensus criteria in future development. Future research should strengthen the involvement of clinical users to enhance the understanding and integration of human factors in designing and evaluating these technologies, ultimately aiming for safe and effective integration in pediatric healthcare.

Quality improvement programmes in paediatric sepsis from a global perspective

Sepsis is a major contributor to poor child health outcomes around the world. The high morbidity, mortality, and societal cost associated with paediatric sepsis render it a global health priority, as summarised in Paper 1 of this Series. Sepsis is characterised by a dysregulated host response to infection that manifests as organ failure, and children are uniquely susceptible to sepsis, as discussed in Paper 2. The focus of this third Series paper is quality improvement in paediatric sepsis. The 2017 WHO resolution on sepsis outlined key aims to reduce the burden of sepsis. As of 2024, only a small number of countries have implemented systematic, paediatric-focused quality improvement programmes to raise sepsis awareness, enhance recognition of sepsis, promote timely treatment, and provide long-term support for paediatric sepsis survivors. We examine programme successes and systematic barriers to quality improvement targeting paediatric sepsis. We highlight the need for programme design to consider the entire patient journey, starting with prevention, caregiver awareness, recognition at home, education of the health-care workforce, development of health-care systems, and establishment of long-term family and survivor support extending beyond the intensive care unit. Building on lessons learnt from existing quality improvement programmes, we outline implementation strategies and measures to enable benchmarking. Ultimately, quality improvement on a global scale can only be accelerated through a global learning platform focusing on paediatric sepsis.

Delays to Antibiotics in the Emergency Department and Risk of Mortality in Children With Sepsis

Importance

Pediatric consensus guidelines recommend antibiotic administration within 1 hour for septic shock and within 3 hours for sepsis without shock. Limited studies exist identifying a specific time past which delays in antibiotic administration are associated with worse outcomes.

Objective

To determine a time point for antibiotic administration that is associated with increased risk of mortality among pediatric patients with sepsis.

Design, Setting, and Participants

This retrospective cohort study used data from 51 US children's hospitals in the Improving Pediatric Sepsis Outcomes collaborative. Participants included patients aged 29 days to less than 18 years with sepsis recognized within 1 hour of emergency department arrival, from January 1, 2017, through December 31, 2021. Piecewise regression was used to identify the inflection point for sepsis-attributable 3-day mortality, and logistic regression was used to evaluate odds of sepsis-attributable mortality after adjustment for potential confounders. Data analysis was performed from March 2022 to February 2024.

Exposure

The number of minutes from emergency department arrival to antibiotic administration.

Main Outcomes and Measures

The primary outcome was sepsis-attributable 3-day mortality. Sepsis-attributable 30-day mortality was a secondary outcome.

Results

A total of 19 515 cases (median [IQR] age, 6 [2-12] years) were included. The median (IQR) time to antibiotic administration was 69 (47-116) minutes. The estimated time to antibiotic administration at which 3-day sepsis-attributable mortality increased was 330 minutes. Patients who received an antibiotic in less than 330 minutes (19 164 patients) had sepsis-attributable 3-day mortality of 0.5% (93 patients) and 30-day mortality of 0.9% (163 patients). Patients who received antibiotics at 330 minutes or later (351 patients) had 3-day sepsis-attributable mortality of 1.2% (4 patients), 30-day mortality of 2.0% (7 patients), and increased adjusted odds of mortality at both 3 days (odds ratio, 3.44; 95% CI, 1.20-9.93; P = .02) and 30 days (odds ratio, 3.63; 95% CI, 1.59-8.30; P = .002) compared with those who received antibiotics within 330 minutes.

Conclusions and Relevance

In this cohort of pediatric patients with sepsis, 3-day and 30-day sepsis-attributable mortality increased with delays in antibiotic administration 330 minutes or longer from emergency department arrival. These findings are consistent with the literature demonstrating increased pediatric sepsis mortality associated with antibiotic administration delay. To guide the balance of appropriate resource allocation with time for adequate diagnostic evaluation, further research is needed into whether there are subpopulations, such as those with shock or bacteremia, that may benefit from earlier antibiotics.

Pediatric Sepsis in General Emergency Departments: Association Between Pediatric Sepsis Case Volume, Care Quality, and Outcome

STUDY OBJECTIVE

To assess whether a general emergency department's (ED) annual pediatric sepsis volume increases the odds of delivering care concordant with Surviving Sepsis pediatric guidelines.

METHODS

A retrospective cohort study of children <18 years with sepsis presenting to 29 general EDs. Emergency department and hospital data were abstracted from the medical records of 2 large health care systems, including all hospitals to which children were transferred. Guideline-concordant care was defined as intravenous antibiotics within 3 hours, intravenous fluid bolus within 3 hours, and lactate measured. The association between annual ED pediatric sepsis encounters and the probability of receiving guideline-concordant care was assessed.

RESULTS

We included 1,527 ED encounters between January 1, 2015, and September 30, 2021. Three hundred and one (19%) occurred in 25 EDs with <10 pediatric sepsis encounters annually, 466 (31%) in 3 EDs with 11 to 100 pediatric sepsis encounters annually, and 760 (50%) in an ED with more than 100 pediatric sepsis encounters annually. Care was concordant in 627 (41.1%) encounters. In multivariable analysis, annual pediatric sepsis volume was minimally associated with the probability of guideline-concordant care (odds ratio 1.002 [95% confidence interval 1.001 to 1.00]). Care concordance increased from 23.1% in 2015 to 52.8% in 2021.

CONCLUSION

Guideline-concordant sepsis care was delivered in 41% of pediatric sepsis cases in general EDs, and annual ED pediatric sepsis encounters had minimal association with the odds of concordant care. Care concordance improved over time. This study suggests that factors other than pediatric sepsis volume are important in driving care quality and identifying drivers of improvement is important for children first treated in general EDs.

Development and Validation of the Phoenix Criteria for Pediatric Sepsis and Septic Shock

Importance

The Society of Critical Care Medicine Pediatric Sepsis Definition Task Force sought to develop and validate new clinical criteria for pediatric sepsis and septic shock using measures of organ dysfunction through a data-driven approach.

Objective

To derive and validate novel criteria for pediatric sepsis and septic shock across differently resourced settings.

Design, Setting, and Participants

Multicenter, international, retrospective cohort study in 10 health systems in the US, Colombia, Bangladesh, China, and Kenya, 3 of which were used as external validation sites. Data were collected from emergency and inpatient encounters for children (aged <18 years) from 2010 to 2019: 3 049 699 in the development (including derivation and internal validation) set and 581 317 in the external validation set.

Exposure

Stacked regression models to predict mortality in children with suspected infection were derived and validated using the best-performing organ dysfunction subscores from 8 existing scores. The final model was then translated into an integer-based score used to establish binary criteria for sepsis and septic shock.

Main Outcomes and Measures

The primary outcome for all analyses was in-hospital mortality. Model- and integer-based score performance measures included the area under the precision recall curve (AUPRC; primary) and area under the receiver operating characteristic curve (AUROC; secondary). For binary criteria, primary performance measures were positive predictive value and sensitivity.

Results

Among the 172 984 children with suspected infection in the first 24 hours (development set; 1.2% mortality), a 4-organ-system model performed best. The integer version of that model, the Phoenix Sepsis Score, had AUPRCs of 0.23 to 0.38 (95% CI range, 0.20-0.39) and AUROCs of 0.71 to 0.92 (95% CI range, 0.70-0.92) to predict mortality in the validation sets. Using a Phoenix Sepsis Score of 2 points or higher in children with suspected infection as criteria for sepsis and sepsis plus 1 or more cardiovascular point as criteria for septic shock resulted in a higher positive predictive value and higher or similar sensitivity compared with the 2005 International Pediatric Sepsis Consensus Conference (IPSCC) criteria across differently resourced settings.

Conclusions and Relevance

The novel Phoenix sepsis criteria, which were derived and validated using data from higher- and lower-resource settings, had improved performance for the diagnosis of pediatric sepsis and septic shock compared with the existing IPSCC criteria.

Association between positive blood culture and clinical outcomes among children treated for sepsis in the emergency department

OBJECTIVE

Among children treated for sepsis in a pediatric emergency department (ED), compare clinical features and outcomes between those with blood cultures positive versus negative for a bacterial pathogen.

DESIGN

Single-center retrospective cohort study.

SETTING

Pediatric emergency department (ED) at a quaternary pediatric care center.

PATIENTS

Children aged 0-18 years treated for sepsis defined by the Children's Hospital Association's Improving Pediatric Sepsis Outcomes (IPSO) definition.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

We analyzed 1307 patients treated for sepsis during the study period, of which 117 (9.0%) had blood cultures positive for a bacterial pathogen. Of children with blood culture positive sepsis, 62 (53.0%) had organ dysfunction compared to 514 (43.2%) with culture negative sepsis (adjusted odds ratio 1.56, 95% confidence interval (CI) 1.04-2.34, adjusting for age, high risk medical conditions, and time to antibiotics). Children with blood culture positive sepsis had a larger base deficit, -4 vs -1 (p < 0.01), and higher procalcitonin, 3.84 vs 0.56 ng/mL (p < 0.01).

CONCLUSIONS

Children meeting the IPSO Sepsis definition with blood culture positive for a bacterial pathogen have higher rates of organ dysfunction than those who are culture negative, although our 9% rate of blood culture positivity is lower than previously cited literature from the pediatric intensive care unit.

Derivation, Validation, and Clinical Relevance of a Pediatric Sepsis Phenotype With Persistent Hypoxemia, Encephalopathy, and Shock

OBJECTIVES

Untangling the heterogeneity of sepsis in children and identifying clinically relevant phenotypes could lead to the development of targeted therapies. Our aim was to analyze the organ dysfunction trajectories of children with sepsis-associated multiple organ dysfunction syndrome (MODS) to identify reproducible and clinically relevant sepsis phenotypes and determine if they are associated with heterogeneity of treatment effect (HTE) to common therapies.

DESIGN

Multicenter observational cohort study.

SETTING

Thirteen PICUs in the United States.

PATIENTS

Patients admitted with suspected infections to the PICU between 2012 and 2018.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

We used subgraph-augmented nonnegative matrix factorization to identify candidate trajectory-based phenotypes based on the type, severity, and progression of organ dysfunction in the first 72 hours. We analyzed the candidate phenotypes to determine reproducibility as well as prognostic, therapeutic, and biological relevance. Overall, 38,732 children had suspected infection, of which 15,246 (39.4%) had sepsis-associated MODS with an in-hospital mortality of 10.1%. We identified an organ dysfunction trajectory-based phenotype (which we termed persistent hypoxemia, encephalopathy, and shock) that was highly reproducible, had features of systemic inflammation and coagulopathy, and was independently associated with higher mortality. In a propensity score-matched analysis, patients with persistent hypoxemia, encephalopathy, and shock phenotype appeared to have HTE and benefit from adjuvant therapy with hydrocortisone and albumin. When compared with other high-risk clinical syndromes, the persistent hypoxemia, encephalopathy, and shock phenotype only overlapped with 50%-60% of patients with septic shock, moderate-to-severe pediatric acute respiratory distress syndrome, or those in the top tier of organ dysfunction burden, suggesting that it represents a nonsynonymous clinical phenotype of sepsis-associated MODS.

CONCLUSIONS

We derived and validated the persistent hypoxemia, encephalopathy, and shock phenotype, which is highly reproducible, clinically relevant, and associated with HTE to common adjuvant therapies in children with sepsis.

A Temperature- and Age-Adjusted Shock Index for Emergency Department Identification of Pediatric Sepsis

OBJECTIVE

To empirically derive a novel temperature- and age-adjusted mean shock index (TAMSI) for early identification of sepsis and septic shock in children with suspected infection.

METHODS

We performed a retrospective cohort study of children aged 1 month to <18 years presenting to a single emergency department with suspected infection over a 10-year period. TAMSI was defined as (pulse rate - 10 × [temperature - 37])/(mean arterial pressure). The primary outcome was sepsis, and the secondary outcome was septic shock. In the two-thirds training set, we determined TAMSI cutoffs for each age group using a minimum sensitivity of 85% and Youden Index. In the one-third validation data set, we calculated test characteristics for the TAMSI cutoffs and compared them with those for the Pediatric Advanced Life Support (PALS) tachycardia or systolic hypotension cutoffs.

RESULTS

In the sepsis validation data set, the sensitivity-targeting TAMSI cutoff yielded a sensitivity of 83.5% (95% confidence interval [CI] 81.7% to 85.4%) and specificity of 42.8% (95% CI 42.4% to 43.3%) versus a sensitivity of 77.7% (95% CI 75.7% to 79.8%) and specificity of 60.0% (95% CI 59.5% to 60.4%) for PALS. For septic shock, the sensitivity-targeting TAMSI cutoff achieved a sensitivity of 81.3% (95% CI 75.2% to 87.4%) and a specificity of 83.5% (95% CI 83.2% to 83.8%) versus a sensitivity of 91.0% (95% CI 86.5% to 95.5%) and a specificity of 58.8% (95% CI 58.4% to 59.3%) for PALS. TAMSI yielded an increased positive likelihood ratio and similar negative likelihood ratio versus PALS.

CONCLUSIONS

TAMSI achieved a similar negative likelihood ratio and improved positive likelihood ratio compared with PALS vital sign cutoffs for the prediction of septic shock, but it did not improve on PALS for sepsis prediction, among children with suspected infection.

Sepsis Prediction in Hospitalized Children: Model Development and Validation

BACKGROUND AND OBJECTIVES

Early recognition and treatment of pediatric sepsis remain mainstay approaches to improve outcomes. Although most children with sepsis are diagnosed in the emergency department, some are admitted with unrecognized sepsis or develop sepsis while hospitalized. Our objective was to develop and validate a prediction model of pediatric sepsis to improve recognition in the inpatient setting.

METHODS

Patients with sepsis were identified using intention-to-treat criteria. Encounters from 2012 to 2018 were used as a derivation to train a prediction model using variables from an existing model. A 2-tier threshold was determined using a precision-recall curve: an "Alert" tier with high positive predictive value to prompt bedside evaluation and an "Aware" tier with high sensitivity to increase situational awareness. The model was prospectively validated in the electronic health record in silent mode during 2019.

RESULTS

A total of 55 980 encounters and 793 (1.4%) episodes of sepsis were used for derivation and prospective validation. The final model consisted of 13 variables with an area under the curve of 0.96 (95% confidence interval 0.95-0.97) in the validation set. The Aware tier had 100% sensitivity and the Alert tier had a positive predictive value of 14% (number needed to alert of 7) in the validation set.

CONCLUSIONS

We derived and prospectively validated a 2-tiered prediction model of inpatient pediatric sepsis designed to have a high sensitivity Aware threshold to enable situational awareness and a low number needed to Alert threshold to minimize false alerts. Our model was embedded in our electronic health record and implemented as clinical decision support, which is presented in a companion article.

Bundled Care to Reduce Sepsis Mortality: The Improving Pediatric Sepsis Outcomes (IPSO) Collaborative

OBJECTIVES

We sought to improve utilization of a sepsis care bundle and decrease 3- and 30- day sepsis-attributable mortality, as well as determine which care elements of a sepsis bundle are associated with improved outcomes.

METHODS

Children's Hospital Association formed a QI collaborative to Improve Pediatric Sepsis Outcomes (IPSO) (January 2017-March 2020 analyzed here). IPSO Suspected Sepsis (ISS) patients were those without organ dysfunction where the provider "intended to treat" sepsis. IPSO Critical Sepsis (ICS) patients approximated those with septic shock. Process (bundle adherence), outcome (mortality), and balancing measures were quantified over time using statistical process control. An original bundle (recognition method, fluid bolus < 20 min, antibiotics < 60 min) was retrospectively compared with varying bundle time-points, including a modified evidence-based care bundle, (recognition method, fluid bolus < 60 min, antibiotics < 180 min). We compared outcomes using Pearson χ-square and Kruskal Wallis tests and adjusted analysis.

RESULTS

Reported are 24 518 ISS and 12 821 ICS cases from 40 children's hospitals (January 2017-March 2020). Modified bundle compliance demonstrated special cause variation (40.1% to 45.8% in ISS; 52.3% to 57.4% in ICS). The ISS cohort's 30-day, sepsis-attributable mortality dropped from 1.4% to 0.9%, a 35.7% relative reduction over time (P < .001). In the ICS cohort, compliance with the original bundle was not associated with a decrease in 30-day sepsis-attributable mortality, whereas compliance with the modified bundle decreased mortality from 4.75% to 2.4% (P < .01).

CONCLUSIONS

Timely treatment of pediatric sepsis is associated with reduced mortality. A time-liberalized care bundle was associated with greater mortality reductions.

A sepsis trigger tool reduces time to antibiotic administration in the NICU

OBJECTIVE

Prolonged time to antibiotic administration is associated with increased morbidity and mortality. Interventions to decrease the time to antibiotic administration may improve mortality and morbidity.

STUDY DESIGN

We identified possible change concepts for reducing time to antibiotic usage in the NICU. For the initial intervention, we developed a sepsis screening tool based on NICU-specific parameters. The main goal of the project was to reduce time to antibiotic administration by 10%.

RESULTS

The project was conducted from April 2017 until April 2019. There were no missed cases of sepsis in the project period. Time to antibiotic administration for patients who were started on antibiotics decreased during the project, with the mean shifting from 126 to 102 min, a reduction of 19%.

CONCLUSIONS

We successfully reduced time to antibiotic delivery in our NICU using a trigger tool to identifying potential cases of sepsis in the NICU environment. The trigger tool requires broader validation.

Epidemiology of Sepsis in US Children and Young Adults

Background

Most multicenter studies of US pediatric sepsis epidemiology use administrative data or focus on pediatric intensive care units. We conducted a detailed medical record review to describe sepsis epidemiology in children and young adults.

Methods

In a convenience sample of hospitals in 10 states, patients aged 30 days-21 years, discharged during 1 October 2014-30 September 2015, with explicit diagnosis codes for severe sepsis or septic shock, were included. Medical records were reviewed for patients with documentation of sepsis, septic shock, or similar terms. We analyzed overall and age group-specific patient characteristics.

Results

Of 736 patients in 26 hospitals, 442 (60.1%) had underlying conditions. Most patients (613 [83.3%]) had community-onset sepsis, although most community-onset sepsis was healthcare associated (344 [56.1%]). Two hundred forty-one patients (32.7%) had outpatient visits 1-7 days before sepsis hospitalization, of whom 125 (51.9%) received antimicrobials ≤30 days before sepsis hospitalization. Age group-related differences included common underlying conditions (<5 years: prematurity vs 5-12 years: chronic pulmonary disease vs 13-21 years: chronic immunocompromise); medical device presence ≤30 days before sepsis hospitalization (1-4 years: 46.9% vs 30 days-11 months: 23.3%); percentage with hospital-onset sepsis (<5 years: 19.6% vs ≥5 years: 12.0%); and percentage with sepsis-associated pathogens (30 days-11 months: 65.6% vs 13-21 years: 49.3%).

Conclusions

Our data suggest potential opportunities to raise sepsis awareness among outpatient providers to facilitate prevention, early recognition, and intervention in some patients. Consideration of age-specific differences may be important as approaches are developed to improve sepsis prevention, risk prediction, recognition, and management.

Implementing Pediatric Surviving Sepsis Campaign Guidelines: Improving Compliance With Lactate Measurement in the PICU

The 2020 pediatric Surviving Sepsis Campaign (pSSC) recommends measuring lactate during the first hour of resuscitation for severe sepsis/shock. We aimed to improve compliance with this recommendation for patients who develop severe sepsis/shock while admitted to the PICU.

DESIGN

Structured, quality improvement initiative.

SETTING

Single-center, 26-bed, quaternary-care PICU.

PATIENTS

All patients with PICU-onset severe sepsis/shock from December 2018 to December 2021.

INTERVENTIONS

Creation of a multidisciplinary local sepsis improvement team, education program targeting frontline providers (nurse practitioners, resident physicians), and peer-to-peer nursing education program with feedback to key stakeholders.

MEASUREMENTS AND MAIN RESULTS

The primary outcome measure was compliance with obtaining a lactate measurement within 60 minutes of the onset of severe sepsis/shock originating in our PICU using a local Improving Pediatric Sepsis Outcomes database and definitions. The process measure was time to first lactate measurement. Secondary outcomes included number of IV antibiotic days, number of vasoactive days, number of ICU days, and number of ventilator days. A total of 166 unique PICU-onset severe sepsis/shock events and 156 unique patients were included. One year after implementation of our first interventions with subsequent Plan-Do-Study-Act cycles, overall compliance increased from 38% to 47% (24% improvement) and time to first lactate decreased from 175 to 94 minutes (46% improvement). Using a statistical process control I chart, the preshift mean for time to first lactate measurement was noted to be 179 minutes and the postshift mean was noted to be 81 minutes demonstrating a 55% improvement.

CONCLUSIONS

This multidisciplinary approach led to improvement in time to first lactate measurement, an important step toward attaining our target of lactate measurement within 60 minutes of septic shock identification. Improving compliance is necessary for understanding implications of the 2020 pSSC guidelines on sepsis morbidity and mortality.

Validation of a paediatric sepsis screening tool to identify children with sepsis in the emergency department: a statewide prospective cohort study in Queensland, Australia

OBJECTIVE

The Surviving Sepsis Campaign guidelines recommend the implementation of systematic screening for sepsis. We aimed to validate a paediatric sepsis screening tool and derive a simplified screening tool.

DESIGN

Prospective multicentre study conducted between August 2018 and December 2019. We assessed the performance of the paediatric sepsis screening tool using stepwise multiple logistic regression analyses with 10-fold cross-validation and evaluated the final model at defined risk thresholds.

SETTING

Twelve emergency departments (EDs) in Queensland, Australia.

PARTICIPANTS

3473 children screened for sepsis, of which 523 (15.1%) were diagnosed with sepsis.

INTERVENTIONS

A 32-item paediatric sepsis screening tool including rapidly available information from triage, risk factors and targeted physical examination.

PRIMARY OUTCOME MEASURE

Senior medical officer-diagnosed sepsis combined with the administration of intravenous antibiotics in the ED.

RESULTS

The 32-item paediatric sepsis screening tool had good predictive performance (area under the receiver operating characteristic curve (AUC) 0.80, 95% CI 0.78 to 0.82). A simplified tool containing 16 of 32 criteria had comparable performance and retained an AUC of 0.80 (95% CI 0.78 to 0.82). To reach a sensitivity of 90% (95% CI 87% to 92%), the final model achieved a specificity of 51% (95% CI 49% to 53%). Sensitivity analyses using the outcomes of sepsis-associated organ dysfunction (AUC 0.84, 95% CI 0.81 to 0.87) and septic shock (AUC 0.84, 95% CI 0.81 to 0.88) confirmed the main results.

CONCLUSIONS

A simplified paediatric sepsis screening tool performed well to identify children with sepsis in the ED. Implementation of sepsis screening tools may improve the timely recognition and treatment of sepsis.

Characteristics and Outcomes of Sepsis Presenting in Inpatient Pediatric Settings

OBJECTIVE

The pediatric sepsis literature lacks studies examining the inpatient setting, yet sepsis remains a leading cause of death in children's hospitals. More information is needed about sepsis arising in patients already hospitalized to improve morbidity and mortality outcomes. This study describes the clinical characteristics, process measures, and outcomes of inpatient sepsis cases compared with emergency department (ED) sepsis cases within the Improving Pediatric Sepsis Outcomes data registry from 46 hospitals that care for children.

METHODS

This retrospective cohort study included Improving Pediatric Sepsis Outcomes sepsis cases from January 2017 to December 2019 with onset in inpatient or ED. We used descriptive statistics to compare inpatient and ED sepsis metrics and describe inpatient sepsis outcomes.

RESULTS

The cohort included 26 855 cases; 8.4% were inpatient and 91.6% were ED. Inpatient cases had higher sepsis-attributable mortality (2.0% vs 1.4%, P = .025), longer length of stay after sepsis recognition (9 vs 5 days, P <.001), more intensive care admissions (57.6% vs 54.1%, P = .002), and greater average vasopressor use (18.0% vs 13.6%, P <.001) compared with ED. In the inpatient cohort, >40% of cases had a time from arrival to recognition within 12 hours. In 21% of cases, this time was >96 hours. Improved adherence to sepsis treatment bundles over time was associated with improved 30-day sepsis-attributable mortality for inpatients with sepsis.

CONCLUSIONS

Inpatient sepsis cases had longer lengths of stay, more need for intensive care, and higher vasopressor use. Sepsis-attributable mortality was significantly higher in inpatient cases compared with ED cases and improved with improved sepsis bundle adherence.

Implementation of an Automated Sepsis Screening Tool in a Children's Hospital Emergency Department: A Cost Analysis

OBJECTIVE

To determine the effect of implementation of an automated sepsis screening tool on the median cost of affected patient encounters.

STUDY DESIGN

This retrospective cohort study used propensity score-matched comparison groups to assess the difference in median cost for comparable affected patient encounters before and after the implementation of an automated sepsis screening tool in a large US children's hospital emergency department (ED) with >90 000 annual visits. All patient encounters in 2018 impacted by the automated sepsis screening tool were included and compared with a propensity score-matched comparison group drawn from patient encounters in 2012 that might have been affected by the screening tool had it been active at that time. The main outcome was the change in the median cost for comparable affected patient encounters.

RESULTS

The overall median cost for those affected by an automated sepsis screening tool decreased by 21.2%, from $6454 (IQR, $968-$21 697) to $5084 (IQR, $802-$16 618). The median cost for encounters with an associated International Classification of Diseases sepsis code decreased by 51.1%, from $58 685 (IQR, $32 224-$134 895) to $28 672 (IQR, $16 796-$60 657).

CONCLUSIONS

The median cost for comparable patient encounters decreased with implementation of an automated sepsis screening tool in the pediatric ED. Costs were decreased even more substantially for patients with sepsis. In addition to improving outcomes, an automated sepsis screening tool appears to be at least cost-effective and may be cost-saving, an incentive for more widespread use of this technology.

Identifying Potentially Unnecessary Hospitalizations in Children With Pneumonia

OBJECTIVE

To characterize the outcomes of children with community acquired pneumonia (CAP) across 41 United States hospitals and evaluate factors associated with potentially unnecessary admissions.

METHODS

We performed a cross-sectional study of patients with CAP from 41 United States pediatric hospitals and evaluated clinical outcomes using a composite ordinal severity outcome: mild-discharged (discharged from the emergency department), mild-admitted (hospitalized without other interventions), moderate (provision of intravenous fluids, supplemental oxygen, broadening of antibiotics, complicated pneumonia, and presumed sepsis) or severe (ICU, positive-pressure ventilation, vasoactive infusion, chest drainage, extracorporeal membrane oxygenation, severe sepsis, or death). Our primary outcome was potentially unnecessary admissions (ie, mild-admitted). Among mild-discharged and mild-admitted patients, we constructed a generalized linear mixed model for mild-admitted severity and assessed the role of fixed (demographics and clinical testing) and random effects (institution) on this outcome.

RESULTS

Of 125 180 children, 68.3% were classified as mild-discharged, 6.6% as mild-admitted, 20.6% as moderate and 4.5% as severe. Among admitted patients (n = 39 692), 8321 (21%) were in the mild-admitted group, with substantial variability in this group across hospitals (median 19.1%, interquartile range 12.8%-28.4%). In generalized linear mixed models comparing mild-admitted and mild-discharge severity groups, hospital had the greatest contribution to model variability compared to all other variables.

CONCLUSIONS

One in 5 hospitalized children with CAP do not receive significant interventions. Among patients with mild disease, institutional variation is the most important contributor to predict potentially unnecessary admissions. Improved prognostic tools are needed to reduce potentially unnecessary hospitalization of children with CAP.

Sepsis Electronic Decision Support Screen in High-Risk Patients Across Age Groups in a Pediatric Emergency Department

OBJECTIVE

This study aimed to compare the performance of a pediatric decision support algorithm to detect severe sepsis between high-risk pediatric and adult patients in a pediatric emergency department (PED).

METHODS

This is a retrospective cohort study of patients presenting from March 2017 to February 2018 to a tertiary care PED. Patients were identified as high risk for sepsis based on a priori defined criteria and were considered adult if 18 years or older. The 2-step decision support algorithm consists of (1) an electronic health record best-practice alert (BPA) with age-adjusted vital sign ranges, and (2) physician screen. The difference in test characteristics of the intervention for the detection of severe sepsis between pediatric and adult patients was assessed at 0.05 statistical significance.

RESULTS

The 2358 enrolled subjects included 2125 children (90.1%) and 233 adults (9.9%). The median ages for children and adults were 3.8 (interquartile range, 1.2-8.6) and 20.1 (interquartile range, 18.2-22.0) years, respectively. In adults, compared with children, the BPA alone had significantly higher sensitivity (0.83 [95% confidence interval {CI}, 0.74-0.89] vs 0.72 [95% CI, 0.69-0.75]; P = 0.02) and lower specificity (0.11 [95% CI, 0.07-0.19] vs 0.48 [95% CI, 0.45-0.51; P < 0.001). With the addition of provider screen, sensitivity and specificity were comparable across age groups, with a lower negative predictive value in adults compared with children (0.66 [95% CI, 0.58-0.74] vs 0.77 [95% CI, 0.75-0.79]; P = 0.005).

CONCLUSIONS

The BPA was less specific in adults compared with children. With the addition of provider screen, specificity improved; however, the lower negative predictive value suggests that providers may be less likely to suspect sepsis even after automated screen in adult patients. This study invites further research aimed at improving screening algorithms, particularly across the diverse age spectrum presenting to a PED.

Beyond Vital Signs: Pediatric Sepsis Screening that Includes Organ Failure Assessment Detects Patients with Worse Outcomes

Pediatric sepsis screening is recommended. The 2005 Goldstein criteria, the basis of our institutional sepsis screening tool (ISST), correlate poorly with clinically diagnosed sepsis. The study objective was to retrospectively evaluate the ISST sensitivity compared with the Pediatric Sequential Organ Failure Assessment (pSOFA). This was a single-center retrospective cohort study. The primary outcome was pSOFA score and ISST sensitivity for severe sepsis. Secondary outcomes included clinical outcome measures. In this severe sepsis cohort (N = 491), pSOFA and ISST sensitivity were 57.6 and 61.1%, respectively. In regression analysis for a positive pSOFA, positive blood culture (odds ratio [OR] 2.2, 95% confidence interval [CI] 1.1–4.3, p = 0.025), older age (OR 1.006, 95% CI 1.003–1.009, p < 0.001), and pulmonary infectious source (OR 3.3, 95% CI 1.6–6.5, p = 0.001) demonstrated independent association. In regression analysis for a positive ISST, older age (OR 1.003, 95% CI 1–1.006, p = 0.031) and intra-abdominal infectious source (OR 0.3, 95% CI 0.1–0.8, p = 0.014) demonstrated independent association. A negative ISST was associated with higher intensive care unit (ICU) admission prevalence (p = 0.01) and fewer ICU-free days (p = 0.018). A positive pSOFA score was associated with higher ICU admission prevalence, vasopressor requirement, and vasopressor days as well as fewer ICU, hospital, and mechanical ventilation-free days (all p < 0.001). Exploratory analysis combining the ISST and pSOFA into a hybrid screen demonstrated superior sensitivity (84.3%) and outcome discrimination. The pSOFA demonstrated noninferior sensitivity to a Goldstein-based institutional sepsis screening model. Further, pSOFA was a better discriminator of poor clinical outcomes. An exploratory hybrid screening model shows superior performance but will require prospective study.

Pediatric Septic Shock Collaborative Improves Emergency Department Sepsis Care in Children

OBJECTIVES

The pediatric emergency department (ED)-based Pediatric Septic Shock Collaborative (PSSC) aimed to improve mortality and key care processes among children with presumed septic shock.

METHODS

This was a multicenter learning and improvement collaborative of 19 pediatric EDs from November 2013 to May 2016 with shared screening and patient identification recommendations, bundles of care, and educational materials. Process metrics included minutes to initial vital sign assessment and to first and third fluid bolus and antibiotic administration. Outcomes included 3- and 30-day all-cause in-hospital mortality, hospital and ICU lengths of stay, hours on increased ventilation (including new and increases from chronic baseline in invasive and noninvasive ventilation), and hours on vasoactive agent support. Analysis used statistical process control charts and included both the overall sample and an ICU subgroup.

RESULTS

Process improvements were noted in timely vital sign assessment and receipt of antibiotics in the overall group. Timely first bolus and antibiotics improved in the ICU subgroup. There was a decrease in 30-day all-cause in-hospital mortality in the overall sample.

CONCLUSIONS

A multicenter pediatric ED improvement collaborative showed improvement in key processes for early sepsis management and demonstrated that a bundled quality improvement-focused approach to sepsis management can be effective in improving care.

Pediatric sepsis phenotypes for enhanced therapeutics: An application of clustering to electronic health records

OBJECTIVE

The heterogeneity of pediatric sepsis patients suggests the potential benefits of clustering analytics to derive phenotypes with distinct host response patterns that may help guide personalized therapeutics. We evaluate the relative performance of latent class analysis (LCA) and K-means, 2 commonly used clustering methods toward the derivation of clinically useful pediatric sepsis phenotypes.

METHODS

Data were extracted from anonymized medical records of 6446 pediatric patients that presented to 1 of 6 emergency departments (EDs) between 2013 and 2018 and were thereafter admitted. Using International Classification of Diseases (ICD)-9 and ICD-10 discharge codes, 151 patients were identified with a sepsis continuum diagnosis that included septicemia, sepsis, severe sepsis, and septic shock. Using feature sets used in related clustering studies, LCA and K-means algorithms were used to derive 4 distinct phenotypic pediatric sepsis segmentations. Each segmentation was evaluated for phenotypic homogeneity, separation, and clinical use.

RESULTS

Using the 2 feature sets, LCA clustering resulted in 2 similar segmentations of 4 clinically distinct phenotypes, while K-means clustering resulted in segmentations of 3 and 4 phenotypes. All 4 segmentations identified at least 1 high severity phenotype, but LCA-identified phenotypes reflected superior stratification, high entropy approaching 1 (eg, 0.994) indicating excellent separation between estimated phenotypes, and differential treatment/treatment response, and outcomes that were non-randomly distributed across phenotypes (P < 0.001).

CONCLUSION

Compared to K-means, which is commonly used in clustering studies, LCA appears to be a more robust, clinically useful statistical tool in analyzing a heterogeneous pediatric sepsis cohort toward informing targeted therapies. Additional prospective studies are needed to validate clinical utility of predictive models that target derived pediatric sepsis phenotypes in emergency department settings.

Using Aggregate Vasoactive-Inotrope Scores to Predict Clinical Outcomes in Pediatric Sepsis

OBJECTIVES

The heterogeneity of sepsis makes it difficult to predict outcomes using existing severity of illness tools. The vasoactive-inotrope score (VIS) is a quantitative measure of the amount of vasoactive support required by patients. We sought to determine if a higher aggregate VIS over the first 96 h of vasoactive medication initiation is associated with increased resource utilization and worsened clinical outcomes in pediatric patients with severe sepsis.

DESIGN

Retrospective cohort study.

SETTING

Single-center at Children's Wisconsin in Milwaukee, WI.

PATIENTS

One hundred ninety-nine pediatric patients, age less than 18 years old, diagnosed with severe sepsis, receiving vasoactive medications between January 2017 and July 2019.

INTERVENTIONS

Retrospective data obtained from the electronic medical record, calculating VIS at 2 h intervals from 0-12 h and at 4 h intervals from 12-96 h from Time 0.

MEASUREMENTS

Aggregate VIS derived from the hourly VIS area under the curve (AUC) calculation based on the trapezoidal rule. Data were analyzed using Pearson's correlations, Mann-Whitney test, Wilcoxon signed rank test, and classification, and regression tree (CART) analyses.

MAIN RESULTS

Higher aggregate VIS is associated with longer hospital LOS (p < 0.0001), PICU LOS (p < 0.0001), MV days (p = 0.018), increased in-hospital mortality (p < 0.0001), in-hospital cardiac arrest (p = 0.006), need for ECMO (p < 0.0001), and need for CRRT (p < 0.0001). CART analyses found that aggregate VIS >20 is an independent predictor for in-hospital mortality (p < 0.0001) and aggregate VIS >16 for ECMO use (p < 0.0001).

CONCLUSIONS

There is a statistically significant association between aggregate VIS and many clinical outcomes, allowing clinicians to utilize aggregate VIS as a physiologic indicator to more accurately predict disease severity/trajectory in pediatric sepsis.

Best practices in pediatric sepsis: building and sustaining an evidence-based pediatric sepsis quality improvement program

Pediatric sepsis is a common problem worldwide and is associated with significant morbidity and mortality. Best practice recommendations have been published by both the American College of Critical Care Medicine and the Surviving Sepsis Campaign to guide the recognition and treatment of pediatric sepsis. However, implementation of these recommendations can be challenging due to the complexity of the care required and intensity of resources needed to successfully implement programs. This paper outlines the experience with implementation of a pediatric sepsis quality improvement program at Primary Children's Hospital, a free-standing, quaternary care children's hospital in Salt Lake City. The hospital has implemented sepsis projects across multiple care settings. Challenges, lessons learned, and suggestions for implementation are described.PLAIN LANGUAGE SUMMARYSepsis is a life-threatening condition that results from an inappropriate response to an infection by the body's immune system. All children are potentially susceptible to sepsis, with nearly 8,000 children dying from the disease in the US each year. Sepsis is a complicated disease, and several international groups have published guidelines to help hospital teams treat children with sepsis appropriately. However, because recognizing and treating sepsis in children is challenging and takes a coordinated effort from many different types of healthcare team members, following the international sepsis guidelines effectively can be difficult and resource intensive. This paper describes how one children's hospital (Primary Children's Hospital in Salt Lake City, Utah) approached the challenge of implementing pediatric sepsis guidelines, some lessons learned from their experience, and suggestions for others interested in implementing sepsis guidelines for children.

Application of the Improving Pediatric Sepsis Outcomes Definition for Pediatric Sepsis to Nationally Representative Emergency Department Data

Supplemental Digital Content is available in the text.

To compare encounter estimates and demographics of pediatric patients (<18 years) meeting modified Improving Pediatric Sepsis Outcomes (IPSO) criteria for sepsis to cohorts obtained using other criteria for pediatric sepsis from administrative datasets.

An Acute Care Sepsis Response System Targeting Improved Antibiotic Administration

BACKGROUND AND OBJECTIVES

Pediatric sepsis quality improvement in emergency departments has been well described and associated with improved survival. Acute care (non-ICU inpatient) units differ in important ways, and optimal approaches to improving sepsis processes and outcomes in this setting are not yet known. Our objective was to increase the proportion of acute care sepsis cases in our health system with initial antibiotic order-to-administration time ≤60 minutes by 20% from a baseline of 43% to 52% by December 2020.

METHODS

Employing the Model for Improvement with broad stakeholder engagement, we developed and implemented interventions aimed at effective intervention for sepsis cases on acute care units. We analyzed process and outcome metrics over time using statistical process control charts. We used descriptive statistics to explore differences in antibiotic order-to-administration time and inform ongoing improvement.

RESULTS

We cared for 187 patients with sepsis over the course of our initiative. The proportion within our goal antibiotic order-to-administration time rose from 43% to 64% with evidence of special cause variation after our interventions. Of all patients, 66% experienced ICU transfer and 4% died.

CONCLUSIONS

We successfully decreased antibiotic order-to-administration time. We also introduced a novel model for sepsis response systems that integrates interventions designed for the complexities of acute care settings. We demonstrated impactful local improvements in the acute care setting where quality improvement reports and success have previously been limited.

Metric Development for the Multicenter Improving Pediatric Sepsis Outcomes (IPSO) Collaborative

BACKGROUND

A 56 US hospital collaborative, Improving Pediatric Sepsis Outcomes, has developed variables, metrics and a data analysis plan to track quality improvement (QI)-based patient outcomes over time. Improving Pediatric Sepsis Outcomes expands on previous pediatric sepsis QI efforts by improving electronic data capture and uniformity across sites.

METHODS

An expert panel developed metrics and corresponding variables to assess improvements across the care delivery spectrum, including the emergency department, acute care units, hematology and oncology, and the ICU. Outcome, process, and balancing measures were represented. Variables and statistical process control charts were mapped to each metric, elucidating progress over time and informing plan-do-study-act cycles. Electronic health record (EHR) abstraction feasibility was prioritized. Time 0 was defined as time of earliest sepsis recognition (determined electronically), or as a clinically derived time 0 (manually abstracted), identifying earliest physiologic onset of sepsis.

RESULTS

Twenty-four evidence-based metrics reflected timely and appropriate interventions for a uniformly defined sepsis cohort. Metrics mapped to statistical process control charts with 44 final variables; 40 could be abstracted automatically from multiple EHRs. Variables, including high-risk conditions and bedside huddle time, were challenging to abstract (reported in <80% of encounters). Size or type of hospital, method of data abstraction, and previous QI collaboration participation did not influence hospitals' abilities to contribute data. To date, 90% of data have been submitted, representing 200 007 sepsis episodes.

CONCLUSIONS

A comprehensive data dictionary was developed for the largest pediatric sepsis QI collaborative, optimizing automation and ensuring sustainable reporting. These approaches can be used in other large-scale sepsis QI projects in which researchers seek to leverage EHR data abstraction.

Comparison of children receiving emergent sepsis care by mode of arrival

OBJECTIVE

To determine if differences in patient characteristics, treatments, and outcomes exist between children with sepsis who arrive by emergency medical services (EMS) versus their own mode of transport (self-transport).

METHODS

Retrospective cohort study of patients who presented to the Emergency Department (ED) of two large children's hospitals and treated for sepsis from November 2013 to June 2017. Presentation, ED treatment, and outcomes, primarily time to first bolus and first parental antibiotic, were compared between those transported via EMS versus patients who were self-transported.

RESULTS

Of the 1813 children treated in the ED for sepsis, 1452 were self-transported and 361 were transported via EMS. The EMS group were more frequently male, of black race, and publicly insured than the self-transport group. The EMS group was more likely to have a critical triage category, receive initial care in the resuscitation suite (51.9 vs. 22%), have hypotension at ED presentation (14.4 vs. 5.4%), lactate >2.0 mmol/L (60.6 vs. 40.8%), vasoactive agents initiated in the ED (8.9 vs. 4.9%), and to be intubated in the ED (14.4 vs. 2.8%). The median time to first IV fluid bolus was faster in the EMS group (36 vs. 57 min). Using Cox LASSO to adjust for potential covariates, time to fluids remained faster for the EMS group (HR 1.26, 95% CI 1.12, 1.42). Time to antibiotics, ICU LOS, 3- or 30-day mortality rates did not differ, yet median hospital LOS was significantly longer in those transported by EMS versus self-transported (6.5 vs. 5.3 days).

CONCLUSIONS

Children with sepsis transported by EMS are a sicker population of children than those self-transported on arrival and had longer hospital stays. EMS transport was associated with earlier in-hospital fluid resuscitation but no difference in time to first antibiotic. Improved prehospital recognition and care is needed to promote adherence to both prehospital and hospital-based sepsis resuscitation benchmarks.

Treatment of suspected sepsis and septic shock in children with chronic disease seen in the pediatric emergency department

BACKGROUND

Research demonstrates that timely recognition and treatment of sepsis can significantly improve pediatric patient outcomes, especially regarding time to intravenous fluid (IVF) and antibiotic administration. Further research suggests that underlying chronic disease in a septic pediatric patient puts them at higher risk for poor outcomes.

OBJECTIVE

To compare treatment time for suspected sepsis and septic shock in pediatric patients with chronic disease versus those without chronic disease seen in the Pediatric Emergency Department (PED).

METHODS

We reviewed patient data from a pediatric sepsis outcomes dataset collected at two tertiary care pediatric hospital sites from January 2017-December 2018. Patients were stratified into two groups: those with and without chronic disease, defined as any patient with at least one of eight chronic health conditions.

INCLUSION CRITERIA

patients seen in the PED ultimately diagnosed with sepsis or septic shock, patient age 0 to 20 years and time zero for identification of sepsis in the PED.

EXCLUSION CRITERIA

time zero unavailable, inability to determine time of first IVF or antibiotic administration or patient death within the PED. Primary analysis included comparison of time zero to first IVF and antibiotic administration between each group.

RESULTS

312 patients met inclusion criteria. 169 individuals had chronic disease and 143 did not. Median time to antibiotics in those with chronic disease was 41.9 min versus 43.0 min in patients without chronic disease (p = 0.181). Time to first IVF in those with chronic disease was 22.0 min versus 12.0 min in those without (p = 0.010). Those with an indwelling line/catheter (n = 40) received IVF slower than those without (n = 272), with no significant difference in time to antibiotic administration by indwelling catheter status (p = 0.063). There were no significant differences in the mode of identification of suspected sepsis or septic shock between those with versus without chronic disease (p = 0.27).

CONCLUSIONS

Study findings suggest pediatric patients with chronic disease with suspected sepsis or septic shock in the PED have a slower time to IVF administration but equivocal use of sepsis recognition tools compared to patients without chronic disease.

Development of a Quality Improvement Learning Collaborative to Improve Pediatric Sepsis Outcomes

Pediatric sepsis is a major public health problem. Published treatment guidelines and several initiatives have increased adherence with guideline recommendations and have improved patient outcomes, but the gains are modest, and persistent gaps remain. The Children's Hospital Association Improving Pediatric Sepsis Outcomes (IPSO) collaborative seeks to improve sepsis outcomes in pediatric emergency departments, ICUs, general care units, and hematology/oncology units. We developed a multicenter quality improvement learning collaborative of US children's hospitals. We reviewed treatment guidelines and literature through 2 in-person meetings and multiple conference calls. We defined and analyzed baseline sepsis-attributable mortality and hospital-onset sepsis and developed a key driver diagram (KDD) on the basis of treatment guidelines, available evidence, and expert opinion. Fifty-six hospital-based teams are participating in IPSO; 100% of teams are engaged in educational and information-sharing activities. A baseline, sepsis-attributable mortality of 3.1% was determined, and the incidence of hospital-onset sepsis was 1.3 cases per 1000 hospital admissions. A KDD was developed with the aim of reducing both the sepsis-attributable mortality and the incidence of hospital-onset sepsis in children by 25% from baseline by December 2020. To accomplish these aims, the KDD primary drivers focus on improving the following: treatment of infection; recognition, diagnosis, and treatment of sepsis; de-escalation of unnecessary care; engagement of patients and families; and methods to optimize performance. IPSO aims to improve sepsis outcomes through collaborative learning and reliable implementation of evidence-based interventions.