Literature DB >> 33446739

Mortality prediction using a novel combination of biomarkers in the first day of sepsis in intensive care units.

Chengwen Bai1, Binbin Li1, Junkun Liu2, Aijun Shan3, Fei Shi4, Can Yao1, Yu Zhang1, Jin Wang1, Weibu Chen5, Manying Xie1, Dehui Deng5.   

Abstract

Early identification of infection severity and organ dysfunction is crucial in improving outcomes of patients with sepsis. We aimed to develop a new combination of blood-based biomarkers that can early predict 28-day mortality in patients with sepsis or septic shock. We enrolled 66 patients with sepsis or septic shock and compared 14 blood-based biomarkers in the first 24 h after ICU admission. The serum levels of interleukin-6 (IL-6) (median 217.6 vs. 4809.0 pg/ml, P = 0.001), lactate (median 2.4 vs. 6.3 mmol/L, P = 0.014), N-terminal prohormone of brain natriuretic peptide (NT-proBNP) (median 1596.5 vs. 32,905.3 ng/ml, P < 0.001), prothrombin time (PT) (median 15.6 vs. 20.1 s, P = 0.030), activated partial thrombin time (APTT) (median 45.1 vs. 59.0 s, P = 0.026), and international normalized ratio (INR) (median 1.3 vs. 1.8, P < 0.001) were significantly lower in the survivor group. IL-6, NT-proBNP, and INR provided the best individual performance in predicting 28-day mortality of patients with sepsis or septic shock. Furthermore, the combination of these three biomarkers achieved better predictive performance (AUC 0.890, P < 0.001) than conventional scoring systems. In summary, the combination of IL-6, NT-proBNP, and INR may serve as a potential predictor of 28-day mortality in critically ill patients with sepsis or septic shock.

Entities:  

Year:  2021        PMID: 33446739      PMCID: PMC7809407          DOI: 10.1038/s41598-020-79843-5

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  27 in total

1.  Prognostic value of serial lactate levels in septic patients with and without shock.

Authors:  Francesca Innocenti; Federico Meo; Irene Giacomelli; Camilla Tozzi; Maria Luisa Ralli; Chiara Donnini; Irene Tassinari; Francesca Caldi; Maurizio Zanobetti; Riccardo Pini
Journal:  Intern Emerg Med       Date:  2019-09-25       Impact factor: 3.397

2.  The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3).

Authors:  Mervyn Singer; Clifford S Deutschman; Christopher Warren Seymour; Manu Shankar-Hari; Djillali Annane; Michael Bauer; Rinaldo Bellomo; Gordon R Bernard; Jean-Daniel Chiche; Craig M Coopersmith; Richard S Hotchkiss; Mitchell M Levy; John C Marshall; Greg S Martin; Steven M Opal; Gordon D Rubenfeld; Tom van der Poll; Jean-Louis Vincent; Derek C Angus
Journal:  JAMA       Date:  2016-02-23       Impact factor: 56.272

3.  Assessment of coma and impaired consciousness. A practical scale.

Authors:  G Teasdale; B Jennett
Journal:  Lancet       Date:  1974-07-13       Impact factor: 79.321

4.  APACHE II: a severity of disease classification system.

Authors:  W A Knaus; E A Draper; D P Wagner; J E Zimmerman
Journal:  Crit Care Med       Date:  1985-10       Impact factor: 7.598

5.  Accuracy of serum interleukin (IL)-6 in sepsis diagnosis: a systematic review and meta-analysis.

Authors:  Tieying Hou; Dehong Huang; Rong Zeng; Zhiming Ye; Yu Zhang
Journal:  Int J Clin Exp Med       Date:  2015-09-15

Review 6.  Mechanisms and treatment of organ failure in sepsis.

Authors:  Christophe Lelubre; Jean-Louis Vincent
Journal:  Nat Rev Nephrol       Date:  2018-07       Impact factor: 28.314

7.  Elevation of NT-proBNP and cardiac troponins in sepsis-related deaths: a forensic perspective.

Authors:  Camilla Tettamanti; Tania Hervet; Silke Grabherr; Cristian Palmiere
Journal:  Int J Legal Med       Date:  2016-03-22       Impact factor: 2.686

Review 8.  On determining the most appropriate test cut-off value: the case of tests with continuous results.

Authors:  Farrokh Habibzadeh; Parham Habibzadeh; Mahboobeh Yadollahie
Journal:  Biochem Med (Zagreb)       Date:  2016-10-15       Impact factor: 2.313

9.  Utility of the early lactate area score as a prognostic marker for septic shock patients in the emergency department.

Authors:  Gina Yu; Seung Joon Yoo; Sang-Hun Lee; June Sung Kim; Sungmin Jung; Youn-Jung Kim; Won Young Kim; Seung Mok Ryoo
Journal:  Acute Crit Care       Date:  2019-04-12

10.  Trends in sepsis mortality over time in randomised sepsis trials: a systematic literature review and meta-analysis of mortality in the control arm, 2002-2016.

Authors:  Robert Luhr; Yang Cao; Bo Söderquist; Sara Cajander
Journal:  Crit Care       Date:  2019-07-03       Impact factor: 9.097

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  3 in total

1.  Mechanistic Insights Into Inflammation-Induced Arrhythmias: A Simulation Study.

Authors:  Xiangpeng Bi; Shugang Zhang; Huasen Jiang; Wenjian Ma; Yuanfei Li; Weigang Lu; Fei Yang; Zhiqiang Wei
Journal:  Front Physiol       Date:  2022-05-30       Impact factor: 4.755

2.  A prediction model for 30-day mortality of sepsis patients based on intravenous fluids and electrolytes.

Authors:  Yan Wang; Songqiao Feng
Journal:  Medicine (Baltimore)       Date:  2022-09-30       Impact factor: 1.817

3.  Prediction of 90-Day Mortality among Sepsis Patients Based on a Nomogram Integrating Diverse Clinical Indices.

Authors:  Qingbo Zeng; Longping He; Nianqing Zhang; Qingwei Lin; Lincui Zhong; Jingchun Song
Journal:  Biomed Res Int       Date:  2021-10-20       Impact factor: 3.411

  3 in total

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