Literature DB >> 31078024

Application of dynamic pulse pressure and vasopressor tools for predicting outcomes in patients with sepsis in intensive care units.

Wen-Feng Fang1, Chi-Han Huang2, Yu-Mu Chen3, Kai-Yin Hung4, Ya-Chun Chang2, Chiung-Yu Lin2, Ying-Tang Fang2, Ya-Ting Chang2, Hung-Cheng Chen3, Kuo-Tung Huang3, Huang-Chih Chang3, Yun-Che Chen2, Yi-Hsi Wang2, Chin-Chou Wang5, Meng-Chih Lin5.   

Abstract

PURPOSE: We aimed to determine whether the combination of dynamic pulse pressure and vasopressor (DPV) use is applicable for mortality risk stratification in patients with severe sepsis. We proposed the use of the DPV tool and compared it with traditional sepsis severity indices.
MATERIALS AND METHODS: All adult patients who met the sepsis criteria of the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3) between August 2013 and January 2017 were eligible for the study. Patients who expired within 3 days of admission to the intensive care unit (ICU) were excluded. The primary outcomes were 7-day and 28-day mortality.
RESULTS: The study participants included 757 consecutive adult patients. A subpopulation of 155 patients underwent immune profiling assays on days 1, 3, and 7 of ICU admission. The DPV tool had a better performance for predicting 7-day mortality (area under curve, AUC: 0.70), followed by the Sequential Organ Failure Assessment (SOFA) (AUC: 0.64), the plus pulse pressure (AUC: 0.64). For predicting 28-day mortality, the DPV tool was not inferior to the SOFA (AUC: 0.61), DPV tool (AUC: 0.59).
CONCLUSIONS: The DPV tool can be applied for 7-day and 28-day mortality risk prediction in patients with sepsis.
Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Intensive care unit; Pulse pressure; Sepsis; Vasopressor use

Mesh:

Substances:

Year:  2019        PMID: 31078024     DOI: 10.1016/j.jcrc.2019.05.003

Source DB:  PubMed          Journal:  J Crit Care        ISSN: 0883-9441            Impact factor:   3.425


  8 in total

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2.  Risk factors and associated outcomes of ventilator-associated events developed in 28 days among sepsis patients admitted to intensive care unit.

Authors:  Wen-Feng Fang; Ying-Tang Fang; Chi-Han Huang; Yu-Mu Chen; Ya-Chun Chang; Chiung-Yu Lin; Kai-Yin Hung; Ya-Ting Chang; Hung-Cheng Chen; Kuo-Tung Huang; Huang-Chih Chang; Yun-Che Chen; Yi-Hsi Wang; Chin-Chou Wang; Meng-Chih Lin
Journal:  Sci Rep       Date:  2020-07-29       Impact factor: 4.379

3.  Incorporation of dynamic segmented neutrophil-to-monocyte ratio with leukocyte count for sepsis risk stratification.

Authors:  Wen-Feng Fang; Yu-Mu Chen; Yi-Hsi Wang; Chi-Han Huang; Kai-Yin Hung; Ying-Tang Fang; Ya-Chun Chang; Chiung-Yu Lin; Ya-Ting Chang; Hung-Cheng Chen; Kuo-Tung Huang; Yun-Che Chen; Chin-Chou Wang; Meng-Chih Lin
Journal:  Sci Rep       Date:  2019-12-24       Impact factor: 4.379

4.  Dynamic monitoring of kidney injury status over 3 days in the intensive care unit as a sepsis phenotype associated with hospital mortality and hyperinflammation.

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Journal:  Biomed J       Date:  2021-09-03       Impact factor: 7.892

5.  The Development and Validation of a Machine Learning Model to Predict Bacteremia and Fungemia in Hospitalized Patients Using Electronic Health Record Data.

Authors:  Sivasubramanium V Bhavani; Zachary Lonjers; Kyle A Carey; Majid Afshar; Emily R Gilbert; Nirav S Shah; Elbert S Huang; Matthew M Churpek
Journal:  Crit Care Med       Date:  2020-11       Impact factor: 9.296

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Journal:  Sci Rep       Date:  2020-10-13       Impact factor: 4.379

7.  The Survival of Septic Patients with Compensated Liver Cirrhosis Is Not Inferior to That of Septic Patients without Liver Cirrhosis: A Propensity Score Matching Analysis.

Authors:  Ya-Chun Chang; Ying-Tang Fang; Hung-Cheng Chen; Chiung-Yu Lin; Yu-Ping Chang; Yi-Hsuan Tsai; Yu-Mu Chen; Kuo-Tung Huang; Huang-Chih Chang; Chin-Chou Wang; Meng-Chih Lin; Wen-Feng Fang
Journal:  J Clin Med       Date:  2022-03-15       Impact factor: 4.241

8.  Protective effect of taurine on sepsis‑induced lung injury via inhibiting the p38/MAPK signaling pathway.

Authors:  Jiao Chen; Xiang Xue; Jianqin Cai; Ling Jia; Baodi Sun; Wei Zhao
Journal:  Mol Med Rep       Date:  2021-07-19       Impact factor: 2.952

  8 in total

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