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Performance of early warning assessment tools in predicting mortality among patients with sepsis: a systematic review and network meta-analysis

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We compared the diagnostic accuracy of seven early warning tools for predicting short-term mortality in adult sepsis patients using a network meta-analysis. Early warning tools trade sensitivity for specificity; combining direct and indirect evidence in an NMA and ranking by SUCRA permits concurrent comparison of relative performance while assessing transitivity and inconsistency. Following PRISMA 2020, we searched major English and Chinese databases to June 30, 2025, and included cohort studies of adult sepsis reporting in-hospital, 28-day, or 30-day mortality with extractable 2 × 2 data. Two reviewers independently screened studies, extracted data and assessed bias with the Newcastle–Ottawa Scale. A mixed-effects NMA was performed in Stata 16.0; primary outcomes were sensitivity and specificity, ranked by SUCRA. Sixteen studies enrolling 16,616 patients evaluated seven tools. Sensitivity ranking (highest→lowest) was SIRS > MEDS > MEWS > NEWS > SOFA > APACHE II > qSOFA; specificity ranking was qSOFA > APACHE II > MEWS > NEWS > SIRS > MEDS > SOFA. Subgroup analyses showed MEDS and qSOFA accuracy varied by age and diagnosis (all p < 0.05). Node-splitting detected no significant inconsistency (p > 0.05) and no major publication bias was evident. SIRS and MEWS demonstrated high sensitivity but limited specificity, favoring screening, whereas qSOFA and APACHE II showed high specificity but poor sensitivity, favoring confirmation. MEDS performance appeared age-dependent and qSOFA may be affected by sepsis definitions; tool selection should match clinical purpose and setting.

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Use of Clinical Algorithms for Evaluation and Management of Pediatric and Adult Sepsis Patients in Low-Resource Clinical Environments
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  • Prehospital and Disaster Medicine
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Introduction:Acute infection in post-disaster settings is associated with increased morbidity and mortality. Sepsis management in low resource settings is controversial with recent research suggesting that aggressive fluid resuscitation may cause greater harm than benefit. However, the vast majority of international sepsis guidelines still suggest large initial fluid boluses as part of sepsis algorithms.Aim:To create an adult and pediatric sepsis algorithm to be applied in low resource clinical settings. This is part of a larger project to create clinical algorithms to provide standardization of emergency case management for low-resource clinical environments.Methods:A literature search was performed through PubMed identifying and reviewing fluid resuscitation in adult and pediatric sepsis patients in high and low resource clinical environments. The pathways were created based on interpretation of the available evidence-based literature. Focus groups were conducted in Zambia in March 2018 for feedback from local practitioners regarding feasibility of pathways. The pathways were then modified, reviewed by experts peer-review and revised.Results:Final pediatric and adult sepsis clinical algorithms were created and posted to the free web-based application AgileMD™. They will be available via app access, an online platform, or printable pathways for use in the clinical environment.Discussion:The study is currently undergoing IRB approval with a plan for implementation of multiple clinical algorithms at a referral hospital site in Zambia in January 2019. Site direction at Ndola Hospital will be conducted under the leadership of an Emergency Medicine trained physician, who will assist in implementation of algorithms and collection of data. Initial data review will be conducted in May 2019. There will be incremental site visits by organizing researchers throughout the implementation and data collection period. Statistical analysis will examine sepsis associated processes and outcome indicators pre and post-intervention to further delineate sepsis management in low resource clinical environments.

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BackgroundExisting scoring systems have limitations in predicting the in-hospital mortality of adult sepsis patients. We aimed to develop and validate a novel risk score for predicting the in-hospital mortality of adult sepsis patients.MethodsThe clinical data of 1,335 adult sepsis inpatients were retrospectively analyzed. Enrolled patients were randomly divided into a modeling group and a validation group at a 3:2 ratio. The modeling group (n=801) was used to develop the risk score by univariate and multivariate logistic regression analyses. The score’s performance was validated in the validation group (n=534). We classified patients into four risk levels according to the novel risk score.ResultsAge, central vein catheterization, mechanical ventilation, vasopressin, Charlson comorbidity index (CCI), respiratory rate (RR), heart rate (HR), Glasgow coma scale (GCS) score, platelet (PLT), hematocrit (HCT), aspartate aminotransferase (AST), and activated partial thrombin time (APTT) were independent risk factors for in-hospital death in adult sepsis patients. Continuous variables were converted into classified variables to develop the risk score, with a total score of 39 points. Adult sepsis patients with low, lower medium, higher medium, and high risk levels had in-hospital mortality rates of 9.8%, 24.7%, 55.8%, and 83.5%, respectively.ConclusionsCompared with the Acute Physiology and Chronic Health Evaluation II scoring system (APACHE II) and the Modified Early Warning Score (MEWS), the novel risk score showed good predictive performance for in-hospital mortality in adult sepsis patients.

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OP0072 Comparative effectiveness of injection therapies in lateral epicondylitis: A systematic review and network meta-analysis of randomized controlled trials
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OP0072 Comparative effectiveness of injection therapies in lateral epicondylitis: A systematic review and network meta-analysis of randomized controlled trials

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