Incidence and Time Point of Sepsis Detection as Related to Different Sepsis Definitions in Severely Burned Patients and Their Accompanying Time Course of Pro-Inflammatory Biomarkers

Background: Diagnosis of sepsis in burn patients remains difficult for various reasons. One major problem is the definition of sepsis itself. Therefore, previous and current sepsis definitions are a matter of ongoing validation, but a well-defined consensus on which clinical and laboratory parameters to incorporate in such a definition is lacking. The aim of the present study was to compare the incidence and time-related occurrence of septic events according to different definitions as well as their accompanying time course of pro-inflammatory biomarkers. Methods: Across the first 14 days after admission, the incidence and time point of sepsis according to three different definitions (Sepsis-3, Sepsis American Burns Association [ABA] 2007, Sepsis Zurich Burn Center) were assessed on a daily basis in adult burn patients with total body surface area (TBSA) ≥15% admitted to the Zurich Burn Center between May 2015 and October 2018. In order to investigate how well daily drawn proinflammatory biomarkers (white blood cells (WBCs), C-reactive protein (CRP), procalcitonin (PCT), and novel pancreatic stone protein (PSP)) reflect the progression of sepsis depending on its type of definition, a longitudinal mixed model analysis was performed across the first 14 days for septic and non-septic patients. Additionally, the relative increase of biomarker levels 24, 48, and 72 h prior to a septic event was analyzed for each definition used. Results: In our cohort of 90 severely burned patients, Sepsis-3 identified 46 patients (51.1%) as septic, while ABA 2007 and the Zurich Burn Center definition counted 33 patients (36.7%) and 24 patients (26.6%), respectively. Sepsis-3 detected sepsis about 1 day earlier than Sepsis ABA 2007 (p < 0.001) and about 0.5 days earlier than Sepsis Zurich Burn Center (p = 0.04). The course of pro-inflammatory biomarkers was largely unaffected by the type of sepsis definition. Irrespective of the sepsis definition, PSP was the only marker to demonstrate a highly significant interaction between time and group (sepsis versus no sepsis) (p < 0.001) with a 3.3–5.5-fold increase within 72 h before the event of sepsis, whereas CRP, PCT, and WBC showed only mild undulations. Conclusions: Despite the ongoing dilemma of how to define sepsis in burn patients, a continually calculated SOFA score as used in Sepsis-3 is advantageous to early identify a patient’s detrimental progression to sepsis. Inclusion of biomarkers, such as PSP, may help support the burn specialist’s diagnosis of sepsis and could improve the diagnostic performance of current and future definitions in burn patients.

525 Biomarkers for the Early Diagnosis of Sepsis in Burns: Systematic Review and Meta-analysis

Introduction Early clinical diagnosis of sepsis in burns patients is notoriously difficult, and many biomarkers have been proposed as adjuncts to clinical assessment. We aimed to evaluate the diagnostic performance of all previously studied biomarkers for the early diagnosis of sepsis in hospitalized patients with burns. Methods We conducted a systematic literature search to February 2020 of Medline, Embase, Cochrane Central, Biosis Previews, Web of Science, and Medline In-Process. Only diagnostic studies utilising a sepsis definition of positive blood cultures or a combination of infection, systemic inflammation, and organ dysfunction were included. Where possible, contingency tables were used as reported or constructed from original data using a cut-off based on Youden’s index. Pooled sensitivity and specificity estimates were derived for each biomarker using random effects meta-analysis. Results We included 27 studies evaluating 56 different biomarkers. Procalcitonin was moderately sensitive and specific for sepsis in patients with burns (sensitivity 72%, specificity 74%). CRP was also moderately sensitive and specific (74% and 64% respectively). White cell count had poor sensitivity and specificity (46% and 59% respectively). All other biomarkers had insufficient studies to include in a meta-analysis, however cell free DNA, nuclear DNA, BDG, BNP, and SVI showed the most promise in single studies. There was considerable heterogeneity between studies reflecting different definitions and cut-offs. Conclusions The most widely studied biomarkers are poorly predictive for sepsis in burn patients. Several promising candidates have been reported which should be evaluated in further studies. A standardized approach to the evaluation of diagnostic markers (including time of sampling, approach to cut-offs and outcome) would be useful.

Early Detection of Septic Shock Onset Using Interpretable Machine Learners

Background: Developing a decision support system based on advances in machine learning is one area for strategic innovation in healthcare. Predicting a patient’s progression to septic shock is an active field of translational research. The goal of this study was to develop a working model of a clinical decision support system for predicting septic shock in an acute care setting for up to 6 h from the time of admission in an integrated healthcare setting. Method: Clinical data from Electronic Health Record (EHR), at encounter level, were used to build a predictive model for progression from sepsis to septic shock up to 6 h from the time of admission; that is, T = 1, 3, and 6 h from admission. Eight different machine learning algorithms (Random Forest, XGBoost, C5.0, Decision Trees, Boosted Logistic Regression, Support Vector Machine, Logistic Regression, Regularized Logistic, and Bayes Generalized Linear Model) were used for model development. Two adaptive sampling strategies were used to address the class imbalance. Data from two sources (clinical and billing codes) were used to define the case definition (septic shock) using the Centers for Medicare & Medicaid Services (CMS) Sepsis criteria. The model assessment was performed using Area under Receiving Operator Characteristics (AUROC), sensitivity, and specificity. Model predictions for each feature window (1, 3 and 6 h from admission) were consolidated. Results: Retrospective data from April 2005 to September 2018 were extracted from the EHR, Insurance Claims, Billing, and Laboratory Systems to create a dataset for septic shock detection. The clinical criteria and billing information were used to label patients into two classes-septic shock patients and sepsis patients at three different time points from admission, creating two different case-control cohorts. Data from 45,425 unique in-patient visits were used to build 96 prediction models comparing clinical-based definition versus billing-based information as the gold standard. Of the 24 consolidated models (based on eight machine learning algorithms and three feature windows), four models reached an AUROC greater than 0.9. Overall, all the consolidated models reached an AUROC of at least 0.8820 or higher. Based on the AUROC of 0.9483, the best model was based on Random Forest, with a sensitivity of 83.9% and specificity of 88.1%. The sepsis detection window at 6 h outperformed the 1 and 3-h windows. The sepsis definition based on clinical variables had improved performance when compared to the sepsis definition based on only billing information. Conclusion: This study corroborated that machine learning models can be developed to predict septic shock using clinical and administrative data. However, the use of clinical information to define septic shock outperformed models developed based on only administrative data. Intelligent decision support tools can be developed and integrated into the EHR and improve clinical outcomes and facilitate the optimization of resources in real-time.

Conhecimento de enfermeiros de um serviço de emergência sobre sepse

Objetivo: Avaliar o conhecimento sobre sepse dos enfermeiros de um serviço de emergência. Método: Estudo transversal, quantitativo, desenvolvido em Hospital Universitário, com 41 enfermeiros. Os dados sociodemográficos, de trabalho e de conhecimento sobre sepse foram coletados por meio de instrumentos estruturados e analisados utilizando-se estatística descritiva e inferencial. Resultados: 11(26,83%) relataram ter tido conteúdo de sepse no treinamento admissional. A maioria das questões obtiveram maior índice de acertos do que erros. As que obtiveram baixo índice de acertos tratavam de definição (2;4,76%) e do tempo máximo para início da antibioticoterapia (17;40,48%). Conclusão: Verificou-se desatualização quanto aos protocolos mais recentes sobre definição e gerenciamento da sepse. Assim, este estudo sinaliza a necessidade de medidas institucionais para fixação e atualização deste conteúdo.Descritores: Enfermeiros; Conhecimento; Sepse; Serviço Hospitalar de Emergência. NURSES' KNOWLEDGE OF AN EMERGENCY SEPSIS SERVICEObjective: To evaluate the knowledge about sepsis of nurses in an emergency service. Method: Cross-sectional, quantitative study, developed at a University Hospital. Involved 41 nurses, the sociodemographic, work and sepsis knowledge data were collected through structured instruments and analyzed using descriptive and inferencial statistics. Results: 11 (26.83%) reported having sepsis content in admission training. Most of the questions got higher hit rate than errors. Those with low success rates were definition (2; 4.76%) and maximum time to start antibiotic therapy (17; 40.48%). Conclusions: Nurses were outdated regarding the most recent protocols on sepsis definition and management. Thus, this study points to the need for institutional measures to consolidate and update this content.Descriptors: Nurses; Knowledge; Sepsis; Emergency Service; Hospital.CONOCIMIENTO DE LOS ENFERMEROS DE UN SERVICIO DE SEPSIS DE EMERGENCIAObjetivo: Evaluar el conocimiento sobre la sepsis de los enfermeros en un servicio de emergencia. Método: Estudio transversal, cuantitativo, desarrollado en un hospital universitario. Participaron 41 enfermeros, los datos de conocimiento sociodemográfico, laboral y de sepsis se recopilaron a través de instrumentos estructurados e se analizaron mediante estadísticas descriptivas e inferenciales. Resultados: 11 (26.83%) informaron tener contenido de sepsis en la admisión. La mayoría de las preguntas obtuvieron una mayor tasa de aciertos que los errores. Aquellos con bajas tasas de éxito fueron la definición (2; 4.76%) y el tiempo para comenzar la terapia con antibióticos (17; 40.48%). Conclusiones: Los enfermeros estaban desactualizadas con respecto a los protocolos más recientes sobre definición y manejo de sepsis. Este estudio señala la necesidad de medidas institucionales para consolidar y actualizar este contenido.Descriptores: Enfermeras; Conocimiento; Sepsis; Servicio de Urgencia en Hospital.

Investigating Impacts of Therapeutic Strategies on Outcomes of Bactereamia Patients Captured by Varied Sepsis Definitions: Time for a Reappraisal of Sepsis-3 Criteria

Background: To early recognize septic patients, quick Sequential Organ Failure Assessment (qSOFA) was proposed by the Sepsis-3 guideline as the initial sepsis identification outside of intensive care units; however, the lack of consensus regarding the revised definition might impede efforts to treat septic patients. Our aim included validation of the new definition in patients with documented bactereamia, by means of the evaluation for the period of delayed treatment efforts and impacts of delayed treatment on prognosis of those categized by traditional or revised sepsis definitions. Methods: In the multicentre cohort of adults with community-onset bactereamia in the emergency department, clinical information was retrospectively analyzed and causative isolates were prospectively stored for susceptibility testes. Using the Cox-regression model, effects of delayed administration of appropriate antimicrobials and adequate source control on 30-day crude mortality in varied SIRS and qSOFA categories were examined after respective adjustment for independent determinants of 30-day mortality.Results: Of the total 3,898 adults, the time-to-appropriate antibiotic and time-to-source control in patients initially presented with SIRS scores of ≥ 2 remained significant shorter than those with qSOFA scores of ≥ 2. Effects of inappropriate EAT and inadequate source control on 30-day mortality were significant in patients who initially presented with SIRS scores of 2 (AOR, 3.06; P < 0.001 and AOR, 1.49; P = 0.04) and 3-4 (AOR, 1.63 and AOR, 2.39; all P < 0.001) but not in those with scores of 0-1 (AOR, 0.87; P = 0.88 and AOR, 1.57; P = 0.79). Notably, adverse impacts of inappropriate EAT and inadequate source control on 30-day mortality were significant in patients who initially experienced qSOFA scores of 0-1 (AOR, 2.05; P = 0.004 and AOR, 3.31; P = 0.003), who were recognised as non-septic patients according to Sepsis-3 guidelines.Conclusions: For patients with community-onset bacteraemia, definitions in the new Sepsis-3 guidelines might impede their treatment efforts in earlier stages and this delayed treatment consequently resulted in unfavourable outcomes. Accordingly, adopting a more restrictive sepsis definition that requires further progression along the sepsis pathway is necessary to avoid delayed interventions.

Validation of PELOD-2 score as a predictor of life-threatening organ dysfunction in pediatric sepsis

Background The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3) defined sepsis as life-threatening organ dysfunction due to immune dysregulation against infection. It recommends the Sequential (sepsis-related) Organ Failure Assessment (SOFA) score to evaluate life-threatening organ dysfunction. But the SOFA tool has not been adjusted for pediatric patients. The Indonesian Pediatrics Society (IPS) uses the same sepsis definition and recommends using the PELOD-2 score as an indicator of life-threatening organ dysfunction in children. Objective To evaluate the validity of the PELOD-2 score for predicting life-threatening organ dysfunction in pediatric sepsis. Methods A prospective cohort study was conducted in children with sepsis who were admitted to the PICU. Subjects were taken consecutively with inclusion criteria of 1 month-18 years of age, with organ dysfunction, having two or more symptoms of systemic inflammatory response syndrome (SIRS), and suspected or proven infection. PELOD-2 score, with and without lactate result, of each subject were plotted to receiver operating characteristic (ROC) curve, then we determined the most optimal cut off point to predict the life-threathneing organ dysfunction in pediatric sepsis based on the sensitivity and specificity of each score. Results Sixty-six patients were analyzed, with 40 males and 26 females aged 2 to 183 months (median 11 months). Twenty patients died while in the PICU. A PELOD-2 score (with lactate) cut-off ≥ 7 was determined by ROC curve, with sensitivity of 80% and specificity of 78%. The area under the curve (AUC) of PELOD-2 score (with lactate) was 84.8% (95%CI 74.7 to 95.9%). A PELOD-2 score (without lactate) ≥ 7 was the most optimum cut off based on its Youden index, it haD 70% of sensitivity and 80% of specificity. Conclusion PELOD-2 score ≥ 7 , with or without lactate component is the optimal cut-off for predicting life-threatening organ dysfunction in pediatric sepsis.