Literature DB >> 29794247

Evaluation of a novel prognostic score based on thrombosis and inflammation in patients with sepsis: a retrospective cohort study.

Dongze Li1, Yaxiong Zhou1, Jing Yu1, Haifang Yu1, Yiqin Xia1, Lin Zhang2, William K K Wu2, Zhi Zeng1, Rong Yao1, Yu Cao1.   

Abstract

BACKGROUND: Inflammation and thrombosis are involved in the development and progression of sepsis. A novel thrombo-inflammatory prognostic score (TIPS), based on both an inflammatory and a thrombus biomarker, was assessed for its ability to predict adverse outcomes of sepsis patients in the emergency department (ED).
METHODS: This was a retrospective cohort study of sepsis patients. TIPS (range: 0-2) was predictive of adverse outcomes. Multivariable logistic regression analyses were performed to investigate the associations between TIPS and 28-day adverse outcomes. The study end points were mortality, mechanical ventilation (MV), consciousness disorder (CD) and admission to the intensive care unit (AICU).
RESULTS: In total, 821 sepsis patients were enrolled; 173 patients died within the 28-day follow-up period. Procalcitonin and D-dimer values were used to calculate TIPS because they had the best performance in the prediction of 28-day mortality by receiver operating characteristic curves. The 28-day mortality and the incidence of MV, CD and AICU were significantly higher in patients with higher TIPS. Multivariable logistic regression analysis indicated TIPS was an independent predictor of 28-day mortality, MV and AICU. TIPS performed better than other prognostic scores, including quick sequential organ failure assessment, Modified Early Warning Score and Mortality in Emergency Department Sepsis Score for predicting 28-day mortality, and similar to the Acute Physiology and Chronic Health Evaluation II, but inferior to sequential organ failure assessment.
CONCLUSIONS: TIPS is useful for stratifying the risk of adverse clinical outcomes in sepsis patients shortly after admission to the ED.

Entities:  

Keywords:  biomarker; inflammation; prognosis; sepsis; thrombosis

Mesh:

Substances:

Year:  2018        PMID: 29794247     DOI: 10.1515/cclm-2017-0863

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  7 in total

1.  D-dimer corrected for thrombin and plasmin generation is a strong predictor of mortality in patients with sepsis.

Authors:  Fabrizio Semeraro; Concetta T Ammollo; Pietro Caironi; Serge Masson; Roberto Latini; Mauro Panigada; Antonio Pesenti; Nicola Semeraro; Luciano Gattinoni; Mario Colucci
Journal:  Blood Transfus       Date:  2019-11-19       Impact factor: 3.443

2.  Thrombo-Inflammatory Prognostic Scores Improve BISAP-Based Risk Stratification in Acute Pancreatitis Patients: A Retrospective Cohort Study.

Authors:  Tianyong Han; Tao Cheng; Ye Liao; Qiang Lai; Shiyuan Tang; Bofu Liu; Yarong He; Chenxi Lei; Yuling Cao; Yu Cao
Journal:  J Inflamm Res       Date:  2022-06-04

3.  Laboratory findings and a combined multifactorial approach to predict death in critically ill patients with COVID-19: a retrospective study.

Authors:  Q Liu; N C Song; Z K Zheng; J S Li; S K Li
Journal:  Epidemiol Infect       Date:  2020-06-30       Impact factor: 2.451

4.  Analysis of the Value of the Blood Urea Nitrogen to Albumin Ratio as a Predictor of Mortality in Patients with Sepsis.

Authors:  Tianyong Han; Tao Cheng; Ye Liao; Shiyuan Tang; Bofu Liu; Yarong He; Zhihan Gu; Chenxi Lei; Yuling Cao; Yu Cao
Journal:  J Inflamm Res       Date:  2022-02-23

5.  Performance of D-dimer for predicting sepsis mortality in the intensive care unit.

Authors:  Yan-Qiu Han; Li Yan; Lei Zhang; Pei-Heng Ouyang; Peng Li; Giuseppe Lippi; Zhi-De Hu
Journal:  Biochem Med (Zagreb)       Date:  2021-06-15       Impact factor: 2.313

6.  Development and internal validation of a simple prognostic score for early sepsis risk stratification in the emergency department.

Authors:  Bofu Liu; Dongze Li; Yisong Cheng; Jing Yu; Yu Jia; Qin Zhang; Yanmei Liu; Yu Cao
Journal:  BMJ Open       Date:  2021-07-07       Impact factor: 2.692

7.  Development and Validation of a Novel Prognostic Score Based on Thrombotic and Inflammatory Biomarkers for Predicting 28-Day Adverse Outcomes in Patients with Acute Pancreatitis.

Authors:  Tianyong Han; Tao Cheng; Ye Liao; Yarong He; Bofu Liu; Qiang Lai; Pan Pan; Junzhao Liu; Chenxi Lei; Yu Cao
Journal:  J Inflamm Res       Date:  2022-01-15
  7 in total

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