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Fulltext The SPEED (sepsis patient evaluation in the emergency department) score: a risk stratification and outcome prediction tool

Bewersdorf JP, Hautmann O, Kofink D, Abdul Khalil A, Zainal Abidin I, Loch A

Eur J Emerg Med, 2017 Jun;24(3):170-175.
PMID: 26524675 DOI: 10.1097/MEJ.0000000000000344

OBJECTIVES: The aim of the study was to identify covariates associated with 28-day mortality in septic patients admitted to the emergency department and derive and validate a score that stratifies mortality risk utilizing parameters that are readily available.
METHODS: Patients with an admission diagnosis of suspected or confirmed infection and fulfilling at least two criteria for severe inflammatory response syndrome were included in this study. Patients' characteristics, vital signs, and laboratory values were used to identify prognostic factors for mortality. A scoring system was derived and validated. The primary outcome was the 28-day mortality rate.
RESULTS: A total of 440 patients were included in the study. The 28-day hospital mortality rate was 32.4 and 25.2% for the derivation (293 patients) and validation (147 patients) sets, respectively. Factors associated with a higher mortality were immune-suppressed state (odds ratio 4.7; 95% confidence interval 2.0-11.4), systolic blood pressure on arrival less than 90 mmHg (3.8; 1.7-8.3), body temperature less than 36.0°C (4.1; 1.3-12.9), oxygen saturation less than 90% (2.3; 1.1-4.8), hematocrit less than 0.38 (3.1; 1.6-5.9), blood pH less than 7.35 (2.0; 1.04-3.9), lactate level more than 2.4 mmol/l (2.27; 1.2-4.2), and pneumonia as the source of infection (2.7; 1.5-5.0). The area under the receiver operating characteristic curve was 0.81 (0.75-0.86) in the derivation and 0.81 (0.73-0.90) in the validation set. The SPEED (sepsis patient evaluation in the emergency department) score performed better (P=0.02) than the Mortality in Emergency Department Sepsis score when applied to the complete study population with an area under the curve of 0.81 (0.76-0.85) as compared with 0.74 (0.70-0.79).
CONCLUSION: The SPEED score predicts 28-day mortality in septic patients. It is simple and its predictive value is comparable to that of other scoring systems.

Matched MeSH terms: Systemic Inflammatory Response Syndrome/diagnosis
Fulltext Development of a Bioinformatics Framework for Identification and Validation of Genomic Biomarkers and Key Immunopathology Processes and Controllers in Infectious and Non-infectious Severe Inflammatory Response Syndrome

Tong DL, Kempsell KE, Szakmany T, Ball G

Front Immunol, 2020;11:380.
PMID: 32318053 DOI: 10.3389/fimmu.2020.00380

Sepsis is defined as dysregulated host response caused by systemic infection, leading to organ failure. It is a life-threatening condition, often requiring admission to an intensive care unit (ICU). The causative agents and processes involved are multifactorial but are characterized by an overarching inflammatory response, sharing elements in common with severe inflammatory response syndrome (SIRS) of non-infectious origin. Sepsis presents with a range of pathophysiological and genetic features which make clinical differentiation from SIRS very challenging. This may reflect a poor understanding of the key gene inter-activities and/or pathway associations underlying these disease processes. Improved understanding is critical for early differential recognition of sepsis and SIRS and to improve patient management and clinical outcomes. Judicious selection of gene biomarkers suitable for development of diagnostic tests/testing could make differentiation of sepsis and SIRS feasible. Here we describe a methodologic framework for the identification and validation of biomarkers in SIRS, sepsis and septic shock patients, using a 2-tier gene screening, artificial neural network (ANN) data mining technique, using previously published gene expression datasets. Eight key hub markers have been identified which may delineate distinct, core disease processes and which show potential for informing underlying immunological and pathological processes and thus patient stratification and treatment. These do not show sufficient fold change differences between the different disease states to be useful as primary diagnostic biomarkers, but are instrumental in identifying candidate pathways and other associated biomarkers for further exploration.

Matched MeSH terms: Systemic Inflammatory Response Syndrome/diagnosis
Potential severe pediatric SARS-CoV-2-induced multisystem inflammatory syndrome resembles dengue infection

Yuliarto S, Susanto WP, Kadafi KT, Ratridewi I, Olivianto E

Trop Biomed, 2021 Jun 01;38(2):129-133.
PMID: 34172701 DOI: 10.47665/tb.38.2.048

We describe a child with acute fever and abdominal pain who developed rash and edema of extremities. Blood test revealed thrombocytopenia, lymphopenia, positive dengue-IgM, and hypoalbuminemia with elevated procalcitonin. Right pleural effusion revealed from chest x-ray. Diagnosed as dengue hemorrhagic fever (DHF) grade 1, however, at 7th day of illness, altered mental status, respiratory and circulatory failure occurred. Laboratory examination showed marked thrombocytopenia, transaminitis, metabolic acidosis, elevated D-dimer, decrease fibrinogen, and elevated cardiac marker (troponin I and CKMB). The patient then developed catecholamine-resistant shock and did not survive after 48 hours. Although rapid test of SARS CoV-2 infection was negative, rapid deterioration with some unusual clinical feature suggest multisystem inflammatory syndrome in children (MIS-C) related to SARS-CoV-2 infection. This case raises an awareness of MIS-C that clinical features resemble dengue infection.

Matched MeSH terms: Systemic Inflammatory Response Syndrome/diagnosis*
The diagnostic ability of procalcitonin and interleukin-6 to differentiate infectious from noninfectious systemic inflammatory response syndrome and to predict mortality

Mat-Nor MB, Md Ralib A, Abdulah NZ, Pickering JW

J Crit Care, 2016 Jun;33:245-51.
PMID: 26851139 DOI: 10.1016/j.jcrc.2016.01.002

PURPOSE: The purpose of the study was to quantify the ability of procalcitonin (PCT) and interleukin-6 (IL-6) to differentiate noninfectious systemic inflammatory response syndrome (SIRS) and sepsis and to predict hospital mortality.
MATERIALS: We recruited consecutively adult patients with SIRS admitted to an intensive care unit. They were divided into sepsis and noninfectious SIRS based on clinical assessment with or without positive cultures. Concentrations of PCT and IL-6 were measured daily over the first 3 days.
RESULTS: A total of 239 patients were recruited, 164 (68.6%) had sepsis, and 68 (28.5%) died in hospital. The PCT levels were higher in sepsis compared with noninfectious SIRS throughout the 3-day period (P < .0001). On admission, PCT concentration was diagnostic of sepsis (area under the curve of 0.63 [0.55-0.71]), and IL-6 was predictive of mortality, (area under the curve of 0.70 [0.62-0.78]). Peak IL-6 concentration improved the risk assessment of Sequential Organ Failure Assessment (SOFA) score for prediction of mortality among those who went on to die by an average of 5% and who did not die by 2%
CONCLUSIONS: Procalcitonin measured on intensive care unit admission was diagnostic of sepsis, and IL-6 was predictive of mortality. Addition of IL-6 concentration to SOFA score improved risk assessment for prediction of mortality. Future studies should include clinical indices, for example, SOFA score, for prognostic evaluation of biomarkers.

Matched MeSH terms: Systemic Inflammatory Response Syndrome/diagnosis*
Knowledge and attitude towards identification of systemic inflammatory response syndrome (SIRS) and sepsis among emergency personnel in tertiary teaching hospital

Rahman N'A, Chan CM, Zakaria MI, Jaafar MJ

Australas Emerg Care, 2019 Mar;22(1):13-21.
PMID: 30998867 DOI: 10.1016/j.auec.2018.11.002

INTRODUCTION: An emergency department (ED) is often the first point of medical contact for sepsis patient, which plays an important role in early identification and management of high-risk septic patients. The present study was aim to evaluate emergency personnel's knowledge and attitude toward identification and management of systemic inflammatory response syndrome (SIRS) and sepsis.
METHODS: This cross-sectional study was conducted in a tertiary teaching hospital and recruited all emergency personnel. A validated questionnaire on knowledge and attitude towards identification and management of SIRS/sepsis was distributed among 120 emergency personnel. Data were analyzed using descriptive and inferential statistics.
RESULTS: Overall finding founds emergency nurses and assistant medical officer appeared to have moderate knowledge in several important areas of SIRS/sepsis identification and management. Majority of the emergency personnel have neutral attitudes, as they do not give enough importance towards identification of patients with SIRS and sepsis. The present study finding found that knowledge of clinical criteria and management of SIRS/sepsis was highest among assistant medical officers (p=0.02) and bachelor's degree holders (p=0.02) with emergency experience more than 5 years (p=0.03). A trend toward an increase in knowledge of SIRS and sepsis is significantly correlated with positive attitudes.
CONCLUSION: The emergency personnel demonstrated a moderate knowledge and neutral attitude toward identification and management of SIRS and sepsis. Therefore, the awareness and knowledge of SIRS and sepsis should be enhanced among emergency personnel in order to improve outcome.

Matched MeSH terms: Systemic Inflammatory Response Syndrome/diagnosis
Plasma Neutrophil Gelatinase-Associated Lipocalin diagnosed acute kidney injury in patients with systemic inflammatory disease and sepsis

Md Ralib A, Mat Nor MB, Pickering JW

Nephrology (Carlton), 2017 May;22(5):412-419.
PMID: 27062515 DOI: 10.1111/nep.12796

AIM: Sepsis is the leading cause of intensive care unit (ICU) admission. Plasma Neutrophil Gelatinase Associated-Lipocalin (NGAL) is a promising biomarker for acute kidney injury (AKI) detection; however, it is also increased with inflammation and few studies have been conducted in non-Caucasian populations and/or in developing economies. Therefore, we evaluated plasma NGAL's diagnostic performance in the presence of sepsis and systemic inflammatory response syndrome (SIRS) in a Malaysian ICU cohort.
METHODS: This is a prospective observational study on patients with SIRS. Plasma creatinine (pCr) and NGAL were measured on ICU admission. Patients were classified according to the occurrence of AKI and sepsis.
RESULTS: Of 225 patients recruited, 129 (57%) had sepsis of whom 67 (52%) also had AKI. 96 patients (43%) had non-infectious SIRS, of whom 20 (21%) also had AKI. NGAL concentrations were higher in AKI patients within both the sepsis and non-infectious SIRS cohorts (both P

Matched MeSH terms: Systemic Inflammatory Response Syndrome/diagnosis