Can the Pediatric Logistic Organ Dysfunction-2 Score on Day 1 Be Used in Clinical Criteria for Sepsis in Children?

A Prognostic Model for Critically Ill Children in Locations With Emerging Critical Care Capacity

OBJECTIVES

To develop a clinical prediction model to risk stratify children admitted to PICUs in locations with limited resources, and compare performance of the model to nine existing pediatric severity scores.

DESIGN

Retrospective, single-center, cohort study.

SETTING

PICU of a pediatric hospital in Siem Reap, northern Cambodia.

PATIENTS

Children between 28 days and 16 years old admitted nonelectively to the PICU.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Clinical and laboratory data recorded at the time of PICU admission were collected. The primary outcome was death during PICU admission. One thousand five hundred fifty consecutive nonelective PICU admissions were included, of which 97 died (6.3%). Most existing severity scores achieved comparable discrimination (area under the receiver operating characteristic curves [AUCs], 0.71-0.76) but only three scores demonstrated moderate diagnostic utility for triaging admissions into high- and low-risk groups (positive likelihood ratios [PLRs], 2.65-2.97 and negative likelihood ratios [NLRs], 0.40-0.46). The newly derived model outperformed all existing severity scores (AUC, 0.84; 95% CI, 0.80-0.88; p < 0.001). Using one particular threshold, the model classified 13.0% of admissions as high risk, among which probability of mortality was almost ten-fold greater than admissions triaged as low-risk (PLR, 5.75; 95% CI, 4.57-7.23 and NLR, 0.47; 95% CI, 0.37-0.59). Decision curve analyses indicated that the model would be superior to all existing severity scores and could provide utility across the range of clinically plausible decision thresholds.

CONCLUSIONS

Existing pediatric severity scores have limited potential as risk stratification tools in resource-constrained PICUs. If validated, our prediction model would be a readily implementable mechanism to support triage of critically ill children at admission to PICU and could provide value across a variety of contexts where resource prioritization is important.

Sepsis epidemiology in Australan and New Zealand children (SENTINEL): protocol for a multicountry prospective observational study

INTRODUCTION

Sepsis affects 25.2 million children per year globally and causes 3.4 million deaths, with an annual cost of hospitalisation in the USA of US$7.3 billion. Despite being common, severe and expensive, therapies and outcomes from sepsis have not substantially changed in decades. Variable case definitions, lack of a reference standard for diagnosis and broad spectrum of disease hamper efforts to evaluate therapies that may improve sepsis outcomes. This landscape analysis of community-acquired childhood sepsis in Australia and New Zealand will characterise the burden of disease, including incidence, severity, outcomes and cost. Sepsis diagnostic criteria and risk stratification tools will be prospectively evaluated. Sepsis therapies, quality of care, parental awareness and understanding of sepsis and parent-reported outcome measures will be described. Understanding these aspects of sepsis care is fundamental for the design and conduct of interventional trials to improve childhood sepsis outcomes.

METHODS AND ANALYSIS

This prospective observational study will include children up to 18 years of age presenting to 12 emergency departments with suspected sepsis within the Paediatric Research in Emergency Departments International Collaborative network in Australia and New Zealand. Presenting characteristics, management and outcomes will be collected. These will include vital signs, serum biomarkers, clinician assessment of severity of disease, intravenous fluid administration for the first 24 hours of hospitalisation, organ support therapies delivered, antimicrobial use, microbiological diagnoses, hospital and intensive care unit length-of-stay, mortality censored at hospital discharge or 30 days from enrolment (whichever comes first) and parent-reported outcomes 90 days from enrolment. We will use these data to determine sepsis epidemiology based on existing and novel diagnostic criteria. We will also validate existing and novel sepsis risk stratification criteria, characterise antimicrobial stewardship, guideline adherence, cost and report parental awareness and understanding of sepsis and parent-reported outcome measures.

ETHICS AND DISSEMINATION

Ethics approval was received from the Royal Children's Hospital of Melbourne, Australia Human Research Ethics Committee (HREC/69948/RCHM-2021). This included incorporated informed consent for follow-up. The findings will be disseminated in a peer-reviewed journal and at academic conferences.

TRIAL REGISTRATION NUMBER

ACTRN12621000920897; Pre-results.

Pediatric Sepsis Diagnosis, Management, and Sub-phenotypes

Sepsis and septic shock are major causes of morbidity, mortality, and health care costs for children worldwide, including >3 million deaths annually and, among survivors, risk for new or worsening functional impairments, including reduced quality of life, new respiratory, nutritional, or technological assistance, and recurrent severe infections. Advances in understanding sepsis pathophysiology highlight a need to update the definition and diagnostic criteria for pediatric sepsis and septic shock, whereas new data support an increasing role for automated screening algorithms and biomarker combinations to assist earlier recognition. Once sepsis or septic shock is suspected, attention to prompt initiation of broad-spectrum empiric antimicrobial therapy, fluid resuscitation, and vasoactive medications remain key components to initial management with several new and ongoing studies offering new insights into how to optimize this approach. Ultimately, a key goal is for screening to encompass as many children as possible at risk for sepsis and trigger early treatment without increasing unnecessary broad-spectrum antibiotics and preventable hospitalizations. Although the role for adjunctive treatment with corticosteroids and other metabolic therapies remains incompletely defined, ongoing studies will soon offer updated guidance for optimal use. Finally, we are increasingly moving toward an era in which precision therapeutics will bring novel strategies to improve outcomes, especially for the subset of children with sepsis-induced multiple organ dysfunction syndrome and sepsis subphenotypes for whom antibiotics, fluid, vasoactive medications, and supportive care remain insufficient.

External validation of clinical severity scores to guide referral of paediatric acute respiratory infections in resource-limited primary care settings

Accurate and reliable guidelines for referral of children from resource-limited primary care settings are lacking. We identified three practicable paediatric severity scores (the Liverpool quick Sequential Organ Failure Assessment (LqSOFA), the quick Pediatric Logistic Organ Dysfunction-2, and the modified Systemic Inflammatory Response Syndrome) and externally validated their performance in young children presenting with acute respiratory infections (ARIs) to a primary care clinic located within a refugee camp on the Thailand-Myanmar border. This secondary analysis of data from a longitudinal birth cohort study consisted of 3010 ARI presentations in children aged ≤ 24 months. The primary outcome was receipt of supplemental oxygen. We externally validated the discrimination, calibration, and net-benefit of the scores, and quantified gains in performance that might be expected if they were deployed as simple clinical prediction models, and updated to include nutritional status and respiratory distress. 104/3,010 (3.5%) presentations met the primary outcome. The LqSOFA score demonstrated the best discrimination (AUC 0.84; 95% CI 0.79-0.89) and achieved a sensitivity and specificity > 0.80. Converting the scores into clinical prediction models improved performance, resulting in ~ 20% fewer unnecessary referrals and ~ 30-50% fewer children incorrectly managed in the community. The LqSOFA score is a promising triage tool for young children presenting with ARIs in resource-limited primary care settings. Where feasible, deploying the score as a simple clinical prediction model might enable more accurate and nuanced risk stratification, increasing applicability across a wider range of contexts.

Sepsis Prognostic Scores Accuracy in Predicting Adverse Outcomes in Children With Sepsis Admitted to the Pediatric Intensive Care Unit From the Emergency Department: A 10-Year Single-Center Experience

OBJECTIVE

To compare the performance of several prognostic scores calculated in the first 24 hours of admission (day 1) in predicting mortality and morbidity among critically ill children with sepsis presenting to the pediatric emergency department (PED) and then admitted to the pediatric intensive care unit (PICU).

METHODS

Single-center, retrospective cohort study in children with a diagnosis of sepsis visiting the PED and then admitted to the PICU from January 1, 2010 to December 31, 2019. Sepsis organ dysfunction scores-pediatric Sequential Organ Failure Assessment (pSOFA) (Schlapbach, Matics, Shime), quickSOFA, quickSOFA-L, Pediatric Logistic Organ Dysfunction (PELOD)-2, quickPELOD-2, and Pediatric Multiple Organ Dysfunction score-were calculated during the first 24 hours of admission (day 1) and their performance compared with systemic inflammatory response syndrome (SIRS) and severe sepsis-International Consensus Conference on Pediatric Sepsis(ICCPS)-derived criteria-using the area under the receiver operating characteristic curve. Primary outcome was PICU mortality. Secondary outcomes were: a composite of death and new disability (ie, change from baseline Pediatric Overall Performance Category score ≥1); prolonged PICU length of stay (>5 d); prolonged invasive mechanical ventilation (MV) (>3 d).

RESULTS

Among 60 patients with sepsis, 4 (6.7%) died, 7 (11.7%) developed new disability, 26 (43.3%) experienced prolonged length of stay, and 21 (35%) prolonged invasive MV. The prognostic ability in mortality discrimination was significantly higher for organ dysfunction scores, with PELOD-2 showing the best performance (area under the receiver operating characteristic curve, 0.924; 95% confidence interval, 0.837-1.000), significantly better than SIRS 3 criteria (0.924 vs 0.509, P = 0.009), SIRS 4 criteria (0.924 vs 0.509, P < 0.001), and severe sepsis (0.924 vs 0.527, P < 0.001). Among secondary outcomes, PELOD-2 performed significantly better than SIRS criteria and severe sepsis to predict prolonged duration of invasive MV, whereas better than severe sepsis to predict "poor outcome" (mortality or new disability).

CONCLUSIONS

Day 1 organ dysfunction scores performed better in predicting mortality and morbidity outcomes than ICCPS-derived criteria. The PELOD-2 was the organ dysfunction score with the best performance for all outcomes.

The evolving value of older biomarkers in the clinical diagnosis of pediatric sepsis

Sepsis remains the leading cause of childhood mortality worldwide. The evolving definition of pediatric sepsis is extrapolated from adult studies. Although lacking formal validation in the pediatric population, this working definition has historically proven its clinical utility. Prompt identification of pediatric sepsis is challenging as clinical picture is often variable. Timely intervention is crucial for optimal outcome, thus biomarkers are utilized to aid in immediate, yet judicious, diagnosis of sepsis. Over time, their use in sepsis has expanded with discovery of newer biomarkers that include genomic bio-signatures. Despite recent scientific advances, there is no biomarker that can accurately diagnose sepsis. Furthermore, older biomarkers are readily available in most institutions while newer biomarkers are not. Hence, the latter's clinical value in pediatric sepsis remains theoretical. Albeit promising, scarce data on newer biomarkers have been extracted from research settings making their clinical value unclear. As interest in newer biomarkers continue to proliferate despite their ambiguous clinical use, the literature on older biomarkers in clinical settings continue to diminish. Thus, revisiting the evolving value of these earliest biomarkers in optimizing pediatric sepsis diagnosis is warranted. This review focuses on the four most readily available biomarkers to bedside clinicians in diagnosing pediatric sepsis. IMPACT: The definition of pediatric sepsis remains an extrapolation from adult studies. Older biomarkers that include C-reactive protein, procalcitonin, ferritin, and lactate are the most readily available biomarkers in most pediatric institutions to aid in the diagnosis of pediatric sepsis. Older biomarkers, although in varying levels of reliability, remain to be useful clinical adjuncts in the diagnosis of pediatric sepsis if used in the appropriate clinical context. C-reactive protein and procalcitonin are more sensitive and specific among these older biomarkers in diagnosing pediatric sepsis although evidence varies in different age groups and clinical scenarios.

Investigating Racial and Socioeconomic Characteristics in Pediatric Sepsis Using Electronic Health Data

BACKGROUND AND OBJECTIVES

Racial/ethnic and socioeconomic disparities are reported in sepsis, with increased mortality for minority and low socioeconomic status groups; however, these studies rely on billing codes that are imprecise in identifying sepsis. Using a previously validated algorithm to detect pediatric sepsis using electronic clinical data, we hypothesized that racial/ethnic and socioeconomic status disparities would be evident in this group.

METHODS

We performed a retrospective study from a large, quaternary academic center, including sepsis episodes from January 20, 2011, to May 20, 2021, identified by an algorithm indicative of bacterial infection with organ dysfunction (cardiac, respiratory, renal, or hematologic). Multivariable logistic regression was used to measure association of race/ethnicity, insurance status, and social disorganization index, with the primary outcome of mortality, adjusting for age, sex, complex chronic conditions, organ dysfunction on day 1, source of admission, and time to hospital. Secondary outcomes were ICU admission, readmission, organ dysfunction-free days, and sepsis therapies.

RESULTS

Among 4532 patient episodes, the mortality rate was 9.7%. There was no difference in adjusted odds of mortality on the basis of race/ethnicity, insurance status, or social disorganization. There was no significant association between our predictors and ICU admission. Hispanic patients and publicly insured patients were more likely to be readmitted within 1 year (Hispanic odds ratio 1.28 [1.06-1.5]; public odds ratio 1.19 [1.05-1.35]).

CONCLUSIONS

Previously described disparities were not observed when using electronic clinical data to identify sepsis; however, data were only single center. There were significantly higher readmissions in patients who were publicly insured or identified as Hispanic or Latino, which require further investigation.

Performance of the PRISM I, PIM2, PELOD-2 and PRISM IV scoring systems in western China: a multicenter prospective study

BACKGROUND

The aim of this study was to evaluate the performance of the four scoring tools in predicting mortality in pediatric intensive care units (PICUs) in western China.

METHODS

This was a multicenter, prospective, cohort study conducted in six PICUs in western China. The performances of the scoring systems were evaluated based on both discrimination and calibration. Discrimination was assessed by calculating the area under the receiver operating characteristic curve (AUC) for each model. Calibration was measured across defined groups based on mortality risk using the Hosmer-Lemeshow goodness-of-fit test.

RESULTS

A total of 2034 patients were included in this study, of whom 127 (6.2%) died. For the entire cohort, AUCs for Pediatric Risk of Mortality Score (PRISM) I, Pediatric Index of Mortality 2 (PIM2), Pediatric Logistic Organ Dysfunction Score-2 (PELOD-2) and PRISM IV were 0.88 [95% confidence interval (CI) 0.85-0.92], 0.84 (95% CI 0.80-0.88), 0.80 (95% CI 0.75-0.85), and 0.91 (95% CI 0.88-0.94), respectively. The Hosmer-Lemeshow goodness-of-fit Chi-square value was 12.71 (P = 0.12) for PRISM I, 4.70 (P = 0.79) for PIM2, 205.98 (P < 0.001) for PELOD-2, and 7.50 (P = 0.48) for PRISM IV [degree of freedom (df) = 8]. The standardized mortality ratios obtained with the PRISM I, PIM2, PELOD-2, and PRISM IV models were 0.87 (95% CI, 0.75-1.01), 0.97 (95% CI, 0.85-1.12), 1.74 (95% CI, 1.58-1.92), and 1.05 (95% CI, 0.92-1.21), respectively.

CONCLUSIONS

PRISM IV performed best and can be used as a prediction tool in PICUs in Western China. However, PRISM IV needs to be further validated in NICUs.

Vascular Reactivity Index and PELOD-2 as a mortality predictor in paediatric septic shock: a single-centre retrospective study

BACKGROUND

The mortality rate for children with septic shock is stil quite high in low-income and middle-income countries (31.7%). One of the most widely used scoring systems to assess mortality in sepsis or septic shock is Paediatric Logistic Organ Dysfunction 2 (PELOD-2). However, it requires various laboratory evaluations. A non-invasive, fast and easy method is needed to assess the mortality of children with septic shock at an early stage. Therefore, this study aims to evaluate the ability of Vascular Reactivity Index (VRI) compared with PELOD-2 score as a predictor of mortality in children with septic shock based on vascular response to vasoactive agents.

METHODS

A retrospective cohort study was conducted using data from children aged 1 month to 18 years with septic shock treated in the ER and paediatric intensive care unit (PICU) of the tertiary hospital from 2017 to 2021. The serial haemodynamic data were analysed including Systemic Vascular Resistant Index (SVRI) and the cardiac index from ultrasound cardiac output monitoring device was recorded in the first and sixth hours after the diagnosis of septic shock. The VRI was determined by dividing SVRI/Vasoactive Inotropic Score (ie, accumulated doses of dopamine, dobutamine, epinephrine, milrinone, vasopressin and norepinephrine). The receiver operating curve was used to calculate the area under the curve (AUC), sensitivity and specificity of each cut-off point.

RESULTS

A total of 68 subjects fulfilled the inclusion and exclusion criteria, the median age was 54 months with a range of 2-204 months and the mortality rate was 47%. The majority of the patients who died were found in the high cardiac index and low SVRI group (17.6%). Moreover, the optimum cut-off point of VRI was obtained to predict mortality in septic shock of 32.1, with 87.5% sensitivity and 88.9% specificity. The AUC for predicting death using VRI was 95% (95% CI 90% to 100%, p<0.001) and PELOD-2 92.6% (95% CI 96.4% to 98.8%, p<0.001).

CONCLUSION

The VRI <32.1 may potentially be used to predict mortality in children with septic shock and its predictive ability is as good as PELOD-2. The assessment of VRI is faster and easier than PELOD-2.

Combination of C-reactive protein, procalcitonin, IL-6, IL-8, and IL-10 for early diagnosis of hyperinflammatory state and organ dysfunction in pediatric sepsis

Background

Although early diagnosis and management are critical for prognosis of pediatric sepsis, there are no specific diagnostic biomarkers for the hyperinflammatory state and organ dysfunction, important stages of sepsis.

Methods

We enrolled 129 children with infection into three groups: non‐sepsis infection (33), Sepsis 1.0 (hyperinflammatory state, 67), and Sepsis 3.0 (organ dysfunction, 29). Another 32 children with no infections were included as controls. Serum C‐reactive protein (CRP), procalcitonin (PCT), interleukin (IL)‐1β, IL‐2, IL‐4, IL‐5, IL‐6, IL‐8, IL‐10, IL‐12p70, IL‐17, tumor necrosis factor (TNF)‐α, interferon (IFN)‐α, and IFN‐γ were assessed to diagnose the two stages, and their diagnostic capacities were evaluated using receiver operating characteristic (ROC) curves. We also examined whether combining biomarkers improved diagnostic efficiency.

Results

Significantly higher CRP, PCT, and IL‐6 levels were detected in the Sepsis 1.0 than the non‐sepsis infection group (p < 0.001). The areas under the curve (AUCs) for diagnosing Sepsis 1.0 were 0.974 (CRP), 0.913 (PCT) and 0.919 (IL‐6). A combination of any two biomarkers increased diagnostic sensitivity to ≥92.54% and specificity to 100.00%. Significantly higher PCT, IL‐8, and IL‐10 levels were found in the Sepsis 3.0 than the Sepsis 1.0 group (p ≤ 0.01), with AUCs for diagnosing Sepsis 3.0 0.807 (PCT), 0.711 (IL‐8), and 0.860 (IL‐10). Combining these three biomarkers increased diagnostic sensitivity to 96.55% and specificity to 94.03%.

Conclusion

In pediatric sepsis, combining any two of CRP, PCT, and IL‐6 can accurately diagnose the hyperinflammatory state and increase diagnostic specificity. Early diagnosis of organ dysfunction requires a combination of PCT, IL‐8, and IL‐10.

Computerized Clinical Decision Support Systems for the Early Detection of Sepsis Among Pediatric, Neonatal, and Maternal Inpatients: Scoping Review

BACKGROUND

Sepsis is a severe condition associated with extensive morbidity and mortality worldwide. Pediatric, neonatal, and maternal patients represent a considerable proportion of the sepsis burden. Identifying sepsis cases as early as possible is a key pillar of sepsis management and has prompted the development of sepsis identification rules and algorithms that are embedded in computerized clinical decision support (CCDS) systems.

OBJECTIVE

This scoping review aimed to systematically describe studies reporting on the use and evaluation of CCDS systems for the early detection of pediatric, neonatal, and maternal inpatients at risk of sepsis.

METHODS

MEDLINE, Embase, CINAHL, Cochrane, Latin American and Caribbean Health Sciences Literature (LILACS), Scopus, Web of Science, OpenGrey, ClinicalTrials.gov, and ProQuest Dissertations and Theses Global (PQDT) were searched by using a search strategy that incorporated terms for sepsis, clinical decision support, and early detection. Title, abstract, and full-text screening was performed by 2 independent reviewers, who consulted a third reviewer as needed. One reviewer performed data charting with a sample of data. This was checked by a second reviewer and via discussions with the review team, as necessary.

RESULTS

A total of 33 studies were included in this review-13 (39%) pediatric studies, 18 (55%) neonatal studies, and 2 (6%) maternal studies. All studies were published after 2011, and 27 (82%) were published from 2017 onward. The most common outcome investigated in pediatric studies was the accuracy of sepsis identification (9/13, 69%). Pediatric CCDS systems used different combinations of 18 diverse clinical criteria to detect sepsis across the 13 identified studies. In neonatal studies, 78% (14/18) of the studies investigated the Kaiser Permanente early-onset sepsis risk calculator. All studies investigated sepsis treatment and management outcomes, with 83% (15/18) reporting on antibiotics-related outcomes. Usability and cost-related outcomes were each reported in only 2 (6%) of the 31 pediatric or neonatal studies. Both studies on maternal populations were short abstracts.

CONCLUSIONS

This review found limited research investigating CCDS systems to support the early detection of sepsis among pediatric, neonatal, and maternal patients, despite the high burden of sepsis in these vulnerable populations. We have highlighted the need for a consensus definition for pediatric and neonatal sepsis and the study of usability and cost-related outcomes as critical areas for future research.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/24899.

Inadequate Oxygen Delivery Dose and Major Adverse Events in Critically Ill Children With Sepsis

BACKGROUND

The inadequate oxygen delivery (IDo2) index is used to estimate the probability that a patient is experiencing inadequate systemic delivery of oxygen. Its utility in the care of critically ill children with sepsis is unknown.

OBJECTIVE

To evaluate the relationship between IDo2 dose and major adverse events, illness severity metrics, and outcomes among critically ill children with sepsis.

METHODS

Clinical and IDo2 data were retrospectively collected from the records of 102 critically ill children with sepsis, weighing >2 kg, without preexisting cardiac dysfunction. Descriptive, nonparametric, odds ratio, and correlational statistics were used for data analysis.

RESULTS

Inadequate oxygen delivery doses were significantly higher in patients who experienced major adverse events (n = 13) than in those who did not (n = 89) during the time intervals of 0 to 12 hours (P < .001), 12 to 24 hours (P = .01), 0 to 24 hours (P < .001), 0 to 36 hours (P < .001), and 0 to 48 hours (P < .001). Patients with an IDo2 dose at 0 to 12 hours at or above the 80th percentile had the highest odds of a major adverse event (odds ratio, 23.6; 95% CI, 5.6-99.4). Significant correlations were observed between IDo2 dose at 0 to 12 hours and day 2 maximum vasoactive inotropic score (ρ = 0.27, P = .006), day 1 Pediatric Logistic Organ Dysfunction (PELOD-2) score (ρ = 0.41, P < .001), day 2 PELOD-2 score (ρ = 0.44, P < .001), intensive care unit length of stay (ρ = 0.35, P < .001), days receiving invasive ventilation (ρ = 0.42, P < .001), and age (ρ = -0.47, P < .001).

CONCLUSIONS

Routine IDo2 monitoring may identify critically ill children with sepsis who are at the highest risk of adverse events and poor outcomes.

Prevalence and predictors of poor outcome in children with febrile neutropaenia presenting to the emergency department

OBJECTIVE

Children with acquired neutropaenia due to cancer chemotherapy are at high risk of severe infection. The present study aims to describe the prevalence and predictors of poor outcomes in children with febrile neutropaenia (FN).

METHODS

This is a multicentre, prospective observational study in tertiary Australian EDs. Cancer patients with FN were included. Fever was defined as a single temperature ≥38°C, and neutropaenia was defined as an absolute neutrophil count <1000/mm³ . The primary outcome was the ICU admission for organ support therapy (inotropic support, mechanical ventilation, renal replacement therapy, extracorporeal life support). Secondary outcomes were: ICU admission, ICU length of stay (LOS) ≥3 days, proven or probable bacterial infection, hospital LOS ≥7 days and 28-day mortality. Initial vital signs, biomarkers (including lactate) and clinical sepsis scores, including Systemic Inflammatory Response Syndrome, quick Sequential Organ Failure Assessment and quick Paediatric Logistic Organ Dysfunction-2 were evaluated as predictors of poor outcomes.

RESULTS

Between December 2016 and January 2018, 2124 episodes of fever in children with cancer were screened, 547 episodes in 334 children met inclusion criteria. Four episodes resulted in ICU admission for organ support therapy, nine episodes required ICU admission, ICU LOS was ≥3 days in four, hospital LOS was ≥7 days in 153 and two patients died within 28 days. Vital signs, blood tests and clinical sepsis scores, including Systemic Inflammatory Response Syndrome, quick Sequential Organ Failure Assessment and quick Paediatric Logistic Organ Dysfunction-2, performed poorly as predictors of these outcomes (area under the receiver operating characteristic curve <0.6).

CONCLUSIONS

Very few patients with FN required ICU-level care. Vital signs, biomarkers and clinical sepsis scores for the prediction of poor outcomes are of limited utility in children with FN.

Shock Index in the early assessment of febrile children at the emergency department: a prospective multicentre study

OBJECTIVE

(1) To derive reference values for the Shock Index (heart rate/systolic blood pressure) based on a large emergency department (ED) population of febrile children and (2) to determine the diagnostic value of the Shock Index for serious illness in febrile children.

DESIGN/SETTING

Observational study in 11 European EDs (2017-2018).

PATIENTS

Febrile children with measured blood pressure.

MAIN OUTCOME MEASURES

Serious bacterial infection (SBI), invasive bacterial infection (IBI), immediate life-saving interventions (ILSIs) and intensive care unit (ICU) admission. The association between high Shock Index (>95th centile) and each outcome was determined by logistic regression adjusted for age, sex, referral, comorbidity and temperature. Additionally, we calculated sensitivity, specificity and negative/positive likelihood ratios (LRs).

RESULTS

Of 5622 children, 461 (8.2%) had SBI, 46 (0.8%) had IBI, 203 (3.6%) were treated with ILSI and 69 (1.2%) were ICU admitted. High Shock Index was associated with SBI (adjusted OR (aOR) 1.6 (95% CI 1.3 to 1.9)), ILSI (aOR 2.5 (95% CI 2.0 to 2.9)), ICU admission (aOR 2.2 (95% CI 1.4 to 2.9)) but not with IBI (aOR: 1.5 (95% CI 0.6 to 2.4)). For the different outcomes, sensitivity for high Shock Index ranged from 0.10 to 0.15, specificity ranged from 0.95 to 0.95, negative LRs ranged from 0.90 to 0.95 and positive LRs ranged from 1.8 to 2.8.

CONCLUSIONS

High Shock Index is associated with serious illness in febrile children. However, its rule-out value is insufficient which suggests that the Shock Index is not valuable as a screening tool for all febrile children at the ED.

Scoring Systems for Organ Dysfunction and Multiple Organ Dysfunction: The PODIUM Consensus Conference

CONTEXT

Multiple scores exist to characterize organ dysfunction in children.

OBJECTIVE

To review the literature on multiple organ dysfunction (MOD) scoring systems to estimate severity of illness and to characterize the performance characteristics of currently used scoring tools and clinical assessments for organ dysfunction in critically ill children.

DATA SOURCES

Electronic searches of PubMed and Embase were conducted from January 1992 to January 2020.

STUDY SELECTION

Studies were included if they evaluated critically ill children with MOD, evaluated the performance characteristics of scoring tools for MOD, and assessed outcomes related to mortality, functional status, organ-specific outcomes, or other patient-centered outcomes.

DATA EXTRACTION

Data were abstracted into a standard data extraction form by a task force member.

RESULTS

Of 1152 unique abstracts screened, 156 full text studies were assessed including a total of 54 eligible studies. The most commonly reported scores were the Pediatric Logistic Organ Dysfunction Score (PELOD), pediatric Sequential Organ Failure Assessment score (pSOFA), Pediatric Index of Mortality (PIM), PRISM, and counts of organ dysfunction using the International Pediatric Sepsis Definition Consensus Conference. Cut-offs for specific organ dysfunction criteria, diagnostic elements included, and use of counts versus weighting varied substantially.

LIMITATIONS

While scores demonstrated an increase in mortality associated with the severity and number of organ dysfunctions, the performance ranged widely.

CONCLUSIONS

The multitude of scores on organ dysfunction to assess severity of illness indicates a need for unified and data-driven organ dysfunction criteria, derived and validated in large, heterogenous international databases of critically ill children.

Severity of illness and organ dysfunction scoring systems in pediatric critical care: The impacts on clinician's practices and the future

Severity and organ dysfunction (OD) scores are increasingly used in pediatric intensive care units (PICU). Therefore, this review aims to provide 1/ an updated state-of-the-art of severity scoring systems and OD scores in pediatric critical care, which explains 2/ the performance measurement tools and the significance of each tool in clinical practice and provides 3/ the usefulness, limits, and impact on future scores in PICU. The following two pediatric systems have been proposed: the PRISMIV, is used to collect data between 2 h before PICU admission and the first 4 h after PICU admission; the PIM3, is used to collect data during the first hour after PICU admission. The PELOD-2 and SOFApediatric scores were the most common OD scores available. Scores used in the PICU should help clinicians answer the following three questions: 1/ Are the most severely ill patients dying in my service: a good discrimination allow us to interpret that there are the most severe patients who died in my service. 2/ Does the overall number of deaths observed in my department consistent with the severity of patients? The standard mortality ratio allow us to determine whether the total number of deaths observed in our service over a given period is in adequacy with the number of deaths predicted, by considering the severity of patients on admission? 3/ Does the number of deaths observed by severity level in my department consistent with the severity of patients? The calibration enabled us to determine whether the number of deaths observed according to the severity of patients at PICU admission in a department over a given period is in adequacy with the number of deaths predicted, according to the severity of the patients at PICU admission. These scoring systems are not interpretable at the patient level. Scoring systems are used to describe patients with PICU in research and evaluate the service's case mix and performance. Therefore, the prospect of automated data collection, which permits their calculation, facilitated by the computerization of services, is a necessity that manufacturers should consider.

Factors associated with mortality of pediatric sepsis patients at the pediatric intensive care unit in a low-resource setting

Background

Sepsis is the leading cause of death worldwide in pediatric populations. Studies in low-resource settings showed that the majority of pediatric patients with sepsis still have a high mortality rate.

Methods

We retrospectively collected records from 2014 to 2019 of patients who had been diagnosed with sepsis and admitted to PICU in our tertiary hospital. Cox proportional hazard regression modeling was used to evaluate associations between patient characteristics and mortality.

Results

Overall, 665 patients were enrolled in this study, with 364 (54.7%) boys and 301 (46.3%) girls. As many as 385 patients (57.9%) died during the study period. The median age of patients admitted to PICU were 1.8 years old with interquartile range (IQR) ±8.36 years and the median length of stay was 144 h (1–1896 h). More than half 391 patients (58.8%) had a good nutritional status. Higher risk of mortality in PICU was associated fluid overload percentage of > 10% (HR 9.6, 95% CI: 7.4–12.6), the need of mechanical ventilation support (HR 2.7, 95% CI: 1.6–4.6), vasoactive drugs (HR 1.5, 95% CI: 1.2–2.0) and the presence of congenital anomaly (HR 1.4, 95% CI: 1.0–1.9). On the contrary, cerebral palsy (HR 0.3, 95% CI: 0.1–0.5) and post-operative patients (HR 0.4, 95% CI: 0.3–0.6) had lower mortality.

Conclusion

PICU mortality in pediatric patients with sepsis is associated with fluid overload percentage of > 10%, the need for mechanical ventilation support, the need of vasoactive drugs, and the presence of congenital anomaly. In septic patients in PICU, those with cerebral palsy and admitted for post-operative care had better survival.

The Utility of Bedside Assessment Tools and Associated Factors to Avoid Antibiotic Overuse in an Urban PICU of a Diarrheal Disease Hospital in Bangladesh

BACKGROUND

Antibiotic exposure in the pediatric intensive care unit (PICU) is very high, although 50% of all antibiotics may be unnecessary. We aimed to determine the utility of simple bedside screening tools and predicting factors to avoid antibiotic overuse in the ICU among children with diarrhea and critical illness.

METHODS

We conducted a retrospective, single-center, case-control study that included children aged 2-59 months who were admitted to PICU with diarrhea and critical illness between 2017 and 2020.

RESULTS

We compared young children who did not receive antibiotics (cases, n = 164) during ICU stay to those treated with antibiotics (controls, n = 346). For predicting the 'no antibiotic approach', the sensitivity of a negative quick Sequential Organ Failure Assessment (qSOFA) was similar to quick Pediatric Logistic Organ Dysfunction-2 (qPELOD-2) and higher than Systemic Inflammatory Response Syndrome (SIRS). A negative qSOFA or qPELOD-2 score calculated during PICU admission is superior to SIRS to avoid antibiotic overuse in under-five children. The logistic regression analysis revealed that cases were more often older and independently associated with hypernatremia. Cases less often had severe underweight, altered mentation, age-specific fast breathing, lower chest wall in-drawing, adventitious sound on lung auscultation, abdominal distension, developmental delay, hyponatremia, hypocalcemia, and microscopic evidence of invasive diarrhea (for all, p < 0.05).

CONCLUSION

Antibiotic overuse could be evaded in PICU using simple bedside screening tools and clinical characteristics, particularly in poor resource settings among children with diarrhea.

Prediction of Impending Septic Shock in Children With Sepsis

Objectives

Sepsis and septic shock are leading causes of in-hospital mortality. Timely treatment is crucial in improving patient outcome, yet treatment delays remain common. Early prediction of those patients with sepsis who will progress to its most severe form, septic shock, can increase the actionable window for interventions. We aim to extend a time-evolving risk score, previously developed in adult patients, to predict pediatric sepsis patients who are likely to develop septic shock before its onset, and to determine whether or not these risk scores stratify into groups with distinct temporal evolution once this prediction is made.

Design

Retrospective cohort study.

Setting

Academic medical center from July 1, 2016, to December 11, 2020.

Patients

Six-thousand one-hundred sixty-one patients under 18 admitted to the Johns Hopkins Hospital PICU.

Interventions

None.

Measurements and Main Results

We trained risk models to predict impending transition into septic shock and compute time-evolving risk scores representative of a patient's probability of developing septic shock. We obtain early prediction performance of 0.90 area under the receiver operating curve, 43% overall positive predictive value, patient-specific positive predictive value as high as 62%, and an 8.9-hour median early warning time using Sepsis-3 labels based on age-adjusted Sequential Organ Failure Assessment score. Using spectral clustering, we stratified pediatric sepsis patients into two clusters differing in septic shock prevalence, mortality, and proportion of patients adequately fluid resuscitated.

CONCLUSIONS

We demonstrate the applicability of our methodology for early prediction and stratification for risk of septic shock in pediatric sepsis patients. Through analyses of risk score evolution over time, we corroborate our past finding of an abrupt transition preceding onset of septic shock in children and are able to stratify pediatric sepsis patients using their risk score trajectories into low and high-risk categories.

Febrile children in the Emergency Department: Frequency and predictors of poor outcome

AIM

To evaluate the frequency and predictors of poor outcome in febrile children presenting to the Emergency Department.

METHODS

Retrospective observational study from the Emergency Department of The Royal Children's Hospital, Melbourne, Australia. All children with presenting complaint of fever or triage temperature >38°C over a 6-month period were included. Poor outcome was defined as: new organ dysfunction or the requirement for organ support therapy (inotrope infusion, mechanical ventilation, renal replacement therapy and extra-corporeal life support). Predictors evaluated were as follows: initial vital signs, blood tests and clinical scores. Odds ratio, sensitivity, specificity and area under the receiver-operating characteristics curve were calculated for each predictor variable.

RESULTS

Between Jan-June 2019, 6217 children met inclusion criteria. Twenty-seven (0.4%) developed new organ dysfunction, 10 (0.2%) required organ support therapy (inotrope infusion in 5, mechanical ventilation in 6, renal replacement therapy in 1, extra-corporeal life support in 1). Odds of new organ dysfunction, requirement for inotropic support and mechanical ventilation were higher with abnormal initial vital signs, blood tests and clinical scores, though overall test characteristics were poor due to infrequency.

CONCLUSION

Poor outcomes were uncommon among febrile children presenting to the Emergency Department. Vital signs, blood tests and clinical scores were poor predictors.

Predictors of disease severity in children presenting from the community with febrile illnesses: a systematic review of prognostic studies

INTRODUCTION

Early identification of children at risk of severe febrile illness can optimise referral, admission and treatment decisions, particularly in resource-limited settings. We aimed to identify prognostic clinical and laboratory factors that predict progression to severe disease in febrile children presenting from the community.

METHODS

We systematically reviewed publications retrieved from MEDLINE, Web of Science and Embase between 31 May 1999 and 30 April 2020, supplemented by hand search of reference lists and consultation with an expert Technical Advisory Panel. Studies evaluating prognostic factors or clinical prediction models in children presenting from the community with febrile illnesses were eligible. The primary outcome was any objective measure of disease severity ascertained within 30 days of enrolment. We calculated unadjusted likelihood ratios (LRs) for comparison of prognostic factors, and compared clinical prediction models using the area under the receiver operating characteristic curves (AUROCs). Risk of bias and applicability of studies were assessed using the Prediction Model Risk of Bias Assessment Tool and the Quality In Prognosis Studies tool.

RESULTS

Of 5949 articles identified, 18 studies evaluating 200 prognostic factors and 25 clinical prediction models in 24 530 children were included. Heterogeneity between studies precluded formal meta-analysis. Malnutrition (positive LR range 1.56-11.13), hypoxia (2.10-8.11), altered consciousness (1.24-14.02), and markers of acidosis (1.36-7.71) and poor peripheral perfusion (1.78-17.38) were the most common predictors of severe disease. Clinical prediction model performance varied widely (AUROC range 0.49-0.97). Concerns regarding applicability were identified and most studies were at high risk of bias.

CONCLUSIONS

Few studies address this important public health question. We identified prognostic factors from a wide range of geographic contexts that can help clinicians assess febrile children at risk of progressing to severe disease. Multicentre studies that include outpatients are required to explore generalisability and develop data-driven tools to support patient prioritisation and triage at the community level.

PROSPERO REGISTRATION NUMBER

CRD42019140542.

Predictive Efficacy of Pediatric Logistic Organ Dysfunction-2 Score in Pediatric Intensive Care Unit of Rural Hospital

Aims and objectives

Utility of pediatric logistic organ dysfunction-2 (PELOD-2) score on day 1 within 1 hour of admission in predicting mortality in children admitted in pediatric intensive care unit (PICU).

Background

Various scoring systems aid to evaluate the patient's mortality risk in the intensive care unit (ICU) by assigning a score and predicting the outcome. Critically ill children are characterized by large variations in the normal body homeostasis. These variations can be estimated by the change of the physiological variables from the normal range. Various scores are constructed from deviations of these changed variables. One such score, the PELOD-2 score, is used to predict mortality of patients admitted in PICU.

Materials and methods

This study was carried out at a tertiary care center in central India to study the utility of PELOD-2 score within 1 hour of admission to predict mortality in patients admitted in PICU.

Results

Total 129 patients were included in this study with mean age of 67 months. The system with highest admission was central nervous system with 42 children and 16.6% mortality, whereas those 7 patients with hematological system involvement had highest mortality of 28.5%. The mortality rate was 15.55%. In our study for PELOD-2 within 24 hours of admission, the area under receiver operating curve was 0.87 and the Hosmer-Lemeshow test was p = 0.42.

Conclusion

Pediatric logistic organ dysfunction-2 score in our study had significant association with mortality along with the Hosmer-Lemeshow goodness-of-fit test showing a good prediction of mortality.

How to cite this article

Deshmukh T, Varma A, Damke S, Meshram R. Predictive Efficacy of Pediatric Logistic Organ Dysfunction-2 Score in Pediatric Intensive Care Unit of Rural Hospital. Indian J Crit Care Med 2020;24(8):701-704.

Comparison of pediatric scoring systems for mortality in septic patients and the impact of missing information on their predictive power: a retrospective analysis

Background

Scores can assess the severity and course of disease and predict outcome in an objective manner. This information is needed for proper risk assessment and stratification. Furthermore, scoring systems support optimal patient care, resource management and are gaining in importance in terms of artificial intelligence.

Objective

This study evaluated and compared the prognostic ability of various common pediatric scoring systems (PRISM, PRISM III, PRISM IV, PIM, PIM2, PIM3, PELOD, PELOD 2) in order to determine which is the most applicable score for pediatric sepsis patients in terms of timing of disease survey and insensitivity to missing data.

Methods

We retrospectively examined data from 398 patients under 18 years of age, who were diagnosed with sepsis. Scores were assessed at ICU admission and re-evaluated on the day of peak C-reactive protein. The scores were compared for their ability to predict mortality in this specific patient population and for their impairment due to missing data.

Results

PIM (AUC 0.76 (0.68-0.76)), PIM2 (AUC 0.78 (0.72-0.78)) and PIM3 (AUC 0.76 (0.68-0.76)) scores together with PRSIM III (AUC 0.75 (0.68-0.75)) and PELOD 2 (AUC 0.75 (0.66-0.75)) are the most suitable scores for determining patient prognosis at ICU admission. Once sepsis is pronounced, PELOD 2 (AUC 0.84 (0.77-0.91)) and PRISM IV (AUC 0.8 (0.72-0.88)) become significantly better in their performance and count among the best prognostic scores for use at this time together with PRISM III (AUC 0.81 (0.73-0.89)). PELOD 2 is good for monitoring and, like the PIM scores, is also largely insensitive to missing values.

Conclusion

Overall, PIM scores show comparatively good performance, are stable as far as timing of the disease survey is concerned, and they are also relatively stable in terms of missing parameters. PELOD 2 is best suitable for monitoring clinical course.

Day-1 PELOD-2 and day-1 "quick" PELOD-2 scores in children with sepsis in the PICU

OBJECTIVES

This study aimed to evaluate the predictive validity of the day-1 PELOD-2 and day-1 "quick" PELOD-2 (qPELOD-2) scores for in-hospital mortality in children with sepsis in a pediatric intensive care unit (PICU) of a developing country.

METHODS

The data of 516 children diagnosed as sepsis were retrospectively analyzed. The children were divided into survival group and non-survival group, according to the clinical outcome 28 days after admission. Day-1 PELOD-2, day-1 qPELOD-2, pediatric SOFA (pSOFA), and P-MODS were collected and scored. Receiver operating characteristic (ROC) curves were plotted, and the efficiency of the day-1 PELOD-2, day-1 qPELOD-2 score, pSOFA, and P-MODS for predicting death were evaluated by the area under the ROC curve (AUC).

RESULTS

The day-1 PELOD-2 score, day-1 qPELOD-2 score, pSOFA, and P-MODS in the non-survivor group were significantly higher than those in the survivor group. ROC curve analysis showed that the AUCs of the day-1 PELOD-2 score, day-1 qPELOD-2 score, pSOFA, and P-MODS for predicting the prognosis of children with sepsis in the PICU were 0.916, 0.802, 0.937, and 0.761, respectively (all p < 0.05).

CONCLUSIONS

Both the day-1 PELOD-2 score and day-1 qPELOD-2 score were effective and able to assess the prognosis of children with sepsis in a PICU of a developing country. Additionally, the day-1 PELOD-2 score was superior to the day-1 qPELOD-2 score. Further studies are needed to verify the usefulness of the day-1 qPELOD-2 score, particularly outside of the PICU.

Biomarkers in pediatric sepsis: a review of recent literature

Sepsis remains the leading cause of death in infants and children worldwide. Prompt diagnosis and monitoring of infection is pivotal to guide therapy and optimize outcomes. No single biomarker has so far been identified to accurately diagnose sepsis, monitor response and predict severity. We aimed to assess existing evidence of available sepsis biomarkers, and their utility in pediatric population. C-reactive protein and procalcitonin remain the most extensively evaluated and used biomarkers. However, biomarkers related to endothelial damage, vasodilation, oxidative stress, cytokines/chemokines and cell bioproducts have also been identified, often with regard to the site of infection and etiologic pathogen; still, with controversial utility. A multi-biomarker model driven by genomic tools could establish a personalized approach in future disease management.

Cardiac Dysfunction Identified by Strain Echocardiography Is Associated With Illness Severity in Pediatric Sepsis

OBJECTIVES

Sepsis-induced myocardial dysfunction has been associated with illness severity and mortality in pediatrics. Although early sepsis-induced myocardial dysfunction diagnosis could aid in hemodynamic management, current echocardiographic metrics for assessing biventricular function are limited in detecting early impairment. Strain echocardiography is a validated quantitative measure that can detect subtle perturbations in left ventricular and right ventricular function. This investigation evaluates the utility of strain echocardiography in pediatric sepsis and compares with to conventional methods.

DESIGN

Retrospective, observational study comparing left ventricular and right ventricular strain. Strain was compared with ejection fraction and fractional shortening and established sepsis severity of illness markers.

SETTING

Tertiary care medical-surgical PICU from July 2013 to January 2018.

PATIENTS

Seventy-nine septic children and 28 healthy controls.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Compared with healthy controls, patients with severe sepsis demonstrated abnormal left ventricular strain (left ventricular longitudinal strain: -13.0% ± 0.72; p = 0.04 and left ventricular circumferential strain: -16.5% ± 0.99; p = 0.046) and right ventricular (right ventricular longitudinal strain = -14.3% ± 6.3; p < 0.01) despite normal fractional shortening (36.0% ± 1.6 vs 38.1% ± 1.1; p = 0.5129) and ejection fraction (60.7% ± 2.2 vs 65.3% ± 1.5; p = 0.33). There was significant association between depressed left ventricular longitudinal strain and increased Vasotrope-Inotrope Score (r = 0.52; p = 0.034). Worsening left ventricular circumferential strain was correlated with higher lactate (r = 0.31; p = 0.03) and higher Pediatric Risk of Mortality-III score (r = 0.39; p < 0.01). Depressed right ventricular longitudinal strain was associated with elevated pediatric multiple organ dysfunction score (r = 0.44; p < 0.01) CONCLUSIONS:: Compared with healthy children, pediatric septic patients demonstrated abnormal left ventricular and right ventricular strain concerning for early signs of cardiac dysfunction. This was despite having normal ejection fraction and fractional shortening. Abnormal strain was associated with abnormal severity of illness markers. Strain echocardiography may have utility as an early indicator of sepsis-induced myocardial dysfunction in pediatric sepsis.

Septic shock in pediatrics: the state-of-the-art

OBJECTIVE

Review the main aspects of the definition, diagnosis, and management of pediatric patients with sepsis and septic shock.

SOURCE OF DATA

A search was carried out in the MEDLINE and Embase databases. The articles were chosen according to the authors' interest, prioritizing those published in the last five years.

SYNTHESIS OF DATA

Sepsis remains a major cause of mortality in pediatric patients. The variability of clinical presentations makes it difficult to attain a precise definition in pediatrics. Airway stabilization with adequate oxygenation and ventilation if necessary, initial volume resuscitation, antibiotic administration, and cardiovascular support are the basis of sepsis treatment. In resource-poor settings, attention should be paid to the risks of fluid overload when administrating fluids. Administration of vasoactive drugs such as epinephrine or norepinephrine is necessary in the absence of volume response within the first hour. Follow-up of shock treatment should adhere to targets such as restoring vital and clinical signs of shock and controlling the focus of infection. A multimodal evaluation with bedside ultrasound for management after the first hours is recommended. In refractory shock, attention should be given to situations such as cardiac tamponade, hypothyroidism, adrenal insufficiency, abdominal catastrophe, and focus of uncontrolled infection.

CONCLUSIONS

The implementation of protocols and advanced technologies have reduced sepsis mortality. In resource-poor settings, good practices such as early sepsis identification, antibiotic administration, and careful fluid infusion are the cornerstones of sepsis management.

Identification of Pediatric Sepsis for Epidemiologic Surveillance Using Electronic Clinical Data

OBJECTIVES

A method to identify pediatric sepsis episodes that is not affected by changing diagnosis and claims-based coding practices does not exist. We derived and validated a surveillance algorithm to identify pediatric sepsis using routine clinical data and applied the algorithm to study longitudinal trends in sepsis epidemiology.

DESIGN

Retrospective observational study.

SETTING

Single academic children's hospital.

PATIENTS

All emergency and hospital encounters from January 2011 to January 2019, excluding neonatal ICU and cardiac center.

EXPOSURE

Sepsis episodes identified by a surveillance algorithm using clinical data to identify infection and concurrent organ dysfunction.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

A surveillance algorithm was derived and validated in separate cohorts with suspected sepsis after clinician-adjudication of final sepsis diagnosis. We then applied the surveillance algorithm to determine longitudinal trends in incidence and mortality of pediatric sepsis over 8 years. Among 93,987 hospital encounters and 1,065 episodes of suspected sepsis in the derivation period, the surveillance algorithm yielded sensitivity 78% (95% CI, 72-84%), specificity 76% (95% CI, 74-79%), positive predictive value 41% (95% CI, 36-46%), and negative predictive value 94% (95% CI, 92-96%). In the validation period, the surveillance algorithm yielded sensitivity 84% (95% CI, 77-92%), specificity of 65% (95% CI, 59-70%), positive predictive value 43% (95% CI, 35-50%), and negative predictive value 93% (95% CI, 90-97%). Notably, most "false-positives" were deemed clinically relevant sepsis cases after manual review. The hospital-wide incidence of sepsis was 0.69% (95% CI, 0.67-0.71%), and the inpatient incidence was 2.8% (95% CI, 2.7-2.9%). Risk-adjusted sepsis incidence, without bias from changing diagnosis or coding practices, increased over time (adjusted incidence rate ratio per year 1.07; 95% CI, 1.06-1.08; p < 0.001). Mortality was 6.7% and did not change over time (adjusted odds ratio per year 0.98; 95% CI, 0.93-1.03; p = 0.38).

CONCLUSIONS

An algorithm using routine clinical data provided an objective, efficient, and reliable method for pediatric sepsis surveillance. An increased sepsis incidence and stable mortality, free from influence of changes in diagnosis or billing practices, were evident.

Diagnostic Challenges and Laboratory Considerations for Pediatric Sepsis

Background

Sepsis is a leading cause of death for children in the US and worldwide. There is a lack of consensus how sepsis is clinically defined, and sepsis definitions and diagnostic guidelines for the pediatric population have remained unchanged for more than a decade now. Current pediatric definitions are largely based on adult guidelines and expert opinion rather than evidence based on outcomes in the pediatric populations. Without a clear definition of sepsis, it is challenging to evaluate the performance of new laboratory tests on the diagnosis and management of sepsis.

Content

This review provides an overview of common etiologies of sepsis in pediatric populations, challenges in defining and diagnosing pediatric sepsis, and current laboratory tests used to identify and monitor sepsis. Strengths and limitations of emerging diagnostic strategies will also be discussed.

Summary

Currently there is no single biomarker that can accurately diagnose or predict sepsis. Current biomarkers such as C-reactive protein and lactate are neither sensitive nor specific for diagnosing sepsis. New biomarkers and rapid pathogen identification assays are much needed. Procalcitonin, although having some limitations, has emerged as a biomarker with demonstrated utility in management of sepsis in adults. Parallel studies analyzing the utility of procalcitonin in pediatric populations are lagging but have shown potential to affect sepsis care in pediatric populations. Multibiomarker approaches and stepwise algorithms show promise in the management of pediatric sepsis. However, a major hurdle is the lack of validated clinical criteria for classification of pediatric sepsis, which is necessary for the development of well-designed studies that can assess the clinical impact of these emerging biomarkers.

Comparison of International Pediatric Sepsis Consensus Conference Versus Sepsis-3 Definitions for Children Presenting With Septic Shock to a Tertiary Care Center in India: A Retrospective Study

OBJECTIVES

To evaluate the proportion of children fulfilling "Sepsis-3" definition and International Pediatric Sepsis Consensus Conference definition among children diagnosed to have septic shock and compare the mortality risk between the two groups.

DESIGN

Retrospective chart review.

SETTING

PICU of a tertiary care teaching hospital from 2014 to 2017.

PATIENTS

Children (≤ 17 yr old) with a diagnosis of septic shock at admission or during PICU stay.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

We applied both International Pediatric Sepsis Consensus Conference and the new "Sepsis-3" definition (sepsis with hypotension requiring vasopressors and a lactate value of ≥ 2 mmol/L) to identify cases of septic shock by these definitions. Key outcomes such as mortality, proportion attaining shock reversal at 24 hours and organ dysfunction were compared between those fulfilling "Sepsis-3" definitions ("Sepsis-3" group) and those fulfilling "International Pediatric Sepsis Consensus Conference" definition ("International Pediatric Sepsis Consensus Conference" group). A total of 216 patients fulfilled International Pediatric Sepsis Consensus Conference definitions of septic shock. Of these, only 104 (48%; 95% CI, 42-55) fulfilled "Sepsis-3" definition. Children fulfilling "Sepsis-3 plus International Pediatric Sepsis Consensus Conference definitions" ("Sepsis-3 and International Pediatric Sepsis Consensus Conference" group) had lower proportion with shock resolution (61% vs 82%; relative risk, 0.73; 95% CI, 0.62-0.88) and higher risk of multiple organ dysfunction (85% vs 68%; 1.24; 1.07-1.45) at 24 hours. The mortality was 48.5% in "Sepsis-3 and International Pediatric Sepsis Consensus Conference" group as compared with 37.5% in the "International Pediatric Sepsis Consensus Conference only" group (relative risk, 1.3; 95% CI, 0.94-1.75).

CONCLUSIONS

Less than half of children with septic shock identified by International Pediatric Sepsis Consensus Conference definitions were observed to fulfill the criteria for shock as per "Sepsis-3" definitions. Lack of difference in the risk of mortality between children who fulfilled "Sepsis-3" definition and those who did not fulfill the definition raises questions on the appropriateness of using this definition for diagnosis of septic shock in children.

External Validation of the "Quick" Pediatric Logistic Organ Dysfunction-2 Score Using a Large North American Cohort of Critically Ill Children With Suspected Infection

OBJECTIVES

A quick Pediatric Logistic Organ Dysfunction 2 score on day 1, consisting of tachycardia, hypotension, and altered mentation, was shown to predict mortality with an area under the receiver operating characteristic curve of 82% (95% CI, 76-87%) in children admitted to a PICU with suspected infection. We performed an external validation of the quick Pediatric Logistic Organ Dysfunction 2, including its performance in predicting mortality in specific age groups.

DESIGN

Analysis of retrospective data obtained from the Virtual Pediatric Systems PICU registry.

SETTING

Prospectively collected clinical records from 130 participating PICUs in North America.

PATIENTS

Children admitted between January 2009 and December 2014, with a diagnosis of infection at discharge, for whom all required data were available.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Systolic blood pressures, heart rates, and Glasgow Coma Scale scores were used to evaluate the quick Pediatric Logistic Organ Dysfunction 2 using area under the receiver operating characteristic curve analysis. Performance was compared with Pediatric Risk of Mortality 3 and Pediatric Index of Mortality 2 risk scores. Data from 42,196 children with complete data were analyzed, with median age 2.7 years (interquartile range, 0.7-8.8 yr; range 0-18 yr) and a 4.27% mortality rate. Mortality was 13.4% for quick Pediatric Logistic Organ Dysfunction 2 greater than or equal to 2 and 2.5% for quick Pediatric Logistic Organ Dysfunction 2 less than 2, representing a false-negative rate of 49.5%. Also 311 children (17%) who died had a quick Pediatric Logistic Organ Dysfunction 2 score of 0. The area under the receiver operating characteristic curve was 72.6% (95% CI, 71.4-73.8%) for quick Pediatric Logistic Organ Dysfunction 2, compared with 85.0% (95% CI, 84.0-86.0%) for Pediatric Risk of Mortality 3 and 81.5% (95% CI, 80.5-82.5%) for Pediatric Index of Mortality 2. Performance of quick Pediatric Logistic Organ Dysfunction 2 was worst in the greater than 12 years age group (area under the receiver operating characteristic curve, 67.8%; 95% CI, 65-70.5) and best in the less than 1 month age group (area under the receiver operating characteristic curve, 78.9%; 95% CI, 75.3-82.4).

CONCLUSIONS

Quick Pediatric Logistic Organ Dysfunction 2 performed markedly worse in our cohort, compared with the original study, and the high rate of false negatives limits its clinical utility in our population. Further work is needed to develop a robust quick pediatric sepsis diagnostic tool for both research and clinical care.

Epidemiology and Immune Pathogenesis of Viral Sepsis

Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection. Sepsis can be caused by a broad range of pathogens; however, bacterial infections represent the majority of sepsis cases. Up to 42% of sepsis presentations are culture negative, suggesting a non-bacterial cause. Despite this, diagnosis of viral sepsis remains very rare. Almost any virus can cause sepsis in vulnerable patients (e.g., neonates, infants, and other immunosuppressed groups). The prevalence of viral sepsis is not known, nor is there enough information to make an accurate estimate. The initial standard of care for all cases of sepsis, even those that are subsequently proven to be culture negative, is the immediate use of broad-spectrum antibiotics. In the absence of definite diagnostic criteria for viral sepsis, or at least to exclude bacterial sepsis, this inevitably leads to unnecessary antimicrobial use, with associated consequences for antimicrobial resistance, effects on the host microbiome and excess healthcare costs. It is important to understand non-bacterial causes of sepsis so that inappropriate treatment can be minimised, and appropriate treatments can be developed to improve outcomes. In this review, we summarise what is known about viral sepsis, its most common causes, and how the immune responses to severe viral infections can contribute to sepsis. We also discuss strategies to improve our understanding of viral sepsis, and ways we can integrate this new information into effective treatment.

Prognostic accuracy of age-adapted SOFA, SIRS, PELOD-2, and qSOFA for in-hospital mortality among children with suspected infection admitted to the intensive care unit

PURPOSE

The Sepsis-3 consensus task force defined sepsis as life-threatening organ dysfunction caused by dysregulated host response to infection. However, the clinical criteria for this definition were neither designed for nor validated in children. We validated the performance of SIRS, age-adapted SOFA, quick SOFA and PELOD-2 scores as predictors of outcome in children.

METHODS

We performed a multicentre binational cohort study of patients < 18 years admitted with infection to ICUs in Australia and New Zealand. The primary outcome was ICU mortality. SIRS, age-adapted SOFA, quick SOFA and PELOD-2 scores were compared using crude and adjusted area under the receiver operating characteristic curve (AUROC) analysis.

RESULTS

Of 2594 paediatric ICU admissions due to infection, 151 (5.8%) children died, and 949/2594 (36.6%) patients died or experienced an ICU length of stay ≥ 3 days. A ≥ 2-point increase in the individual score was associated with a crude mortality increase from 3.1 to 6.8% for SIRS, from 1.9 to 7.6% for age-adapted SOFA, from 1.7 to 7.3% for PELOD-2, and from 3.9 to 8.1% for qSOFA (p < 0.001). The discrimination of outcomes was significantly higher for SOFA (adjusted AUROC 0.829; 0.791-0.868) and PELOD-2 (0.816; 0.777-0.854) than for qSOFA (0.739; 0.695-0.784) and SIRS (0.710; 0.664-0.756).

CONCLUSIONS

SIRS criteria lack specificity to identify children with infection at substantially higher risk of mortality. We demonstrate that adapting Sepsis-3 to age-specific criteria performs better than Sepsis-2-based criteria. Our findings support the translation of Sepsis-3 into paediatric-specific sepsis definitions and highlight the importance of robust paediatric organ dysfunction characterization.

Translating Sepsis-3 Criteria in Children: Prognostic Accuracy of Age-Adjusted Quick SOFA Score in Children Visiting the Emergency Department With Suspected Bacterial Infection

Background: Recent attempts to translate Sepsis-3 criteria to children have been restricted to PICU patients and did not target children in emergency departments (ED). We assessed the prognostic accuracy of the age-adjusted quick Sequential Organ Failure Assessment score (qSOFA) and compared the performance to SIRS and the quick Pediatric Logistic Organ Dysfunction-2 score (qPELOD-2). We studied whether the addition of lactate (qSOFA-L) would increase prognostic accuracy. Methods: Non-academic, single-center, retrospective study in children visiting the ED and admitted with suspected bacterial infection between March 2013 and January 2018. We defined suspected bacterial infection as initiation of antibiotic therapy within 24 h after ED entry. Age-adjusted qSOFA, SIRS, qPELOD-2, and qSOFA-L scores were compared by area under the receiver operating characteristics curve (AUROC) analysis. Primary outcome measure was PICU transfer and/or mortality and secondary outcome was prolonged hospital length of stay. Results: We included 864 ED visits [474 (55%) male; median age 2.5 years; IQR 9 months-6 years], of which 18 were transferred to a PICU and 6 ended in death [composite outcome PICU transfer and/or mortality; 23 admissions (2.7%)]. 179 (22.2%) admissions resulted in prolonged hospital length of stay. PICU transfer and/or death was present in 22.5% of visits with qSOFA≥2 (n = 40) compared to 2.0% of visits with qSOFA<2 (n = 444) (p < 0.01). qSOFA tends to be the best predictor of PICU transfer and/or mortality (AUROC 0.72 (95% CI, 0.57-0.86) compared to SIRS [0.64 (95% CI, 0.53-0.74), p = 0.23] and qPELOD-2 [0.60 (95% CI, 0.45-0.76), p = 0.03)]. Prolonged hospital length of stay was poorly predicted by qSOFA (AUROC 0.53, 95% CI 0.46-0.59), SIRS (0.49, 95% CI 0.44-0.54), and qPELOD-2 (0.51, 95%CI 0.45-0.57). qSOFA-L resulted in an AUROC of 0.67 (95% CI, 0.50-0.84) for PICU transfer and/or mortality and an AUROC of 0.56 (95% CI, 0.46-0.67) for prolonged hospital length of stay. Conclusion: The currently proposed bedside risk-stratification tool of Sepsis-3 criteria, qSOFA, shows moderate prognostic accuracy for PICU transfer and/or mortality in children visiting the ED with suspected bacterial infection. The addition of lactate did not improve prognostic accuracy. Future prospective studies in larger ED populations are needed to further determine the utility of the qSOFA score.