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Traditional Chinese Medicine Diagnosis “Yang-Xu Zheng”: Significant Prognostic Predictor for Patients with Severe Sepsis and Septic Shock

Pathogenesis of sepsis includes complex interaction between pathogen activities and host response, manifesting highly variable signs and symptoms, possibly delaying diagnosis and timely life-saving interventions. This study applies traditional Chinese medicine (TCM) Zheng diagnosis in patients with...

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Autores principales: Lin, Sunny Jui-Shan, Cheng, Yung-Yen, Chang, Chih-Hung, Lee, Cheng-Hung, Huang, Yi-Chia, Su, Yi-Chang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3824639/
https://www.ncbi.nlm.nih.gov/pubmed/24282436
http://dx.doi.org/10.1155/2013/759748
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author Lin, Sunny Jui-Shan
Cheng, Yung-Yen
Chang, Chih-Hung
Lee, Cheng-Hung
Huang, Yi-Chia
Su, Yi-Chang
author_facet Lin, Sunny Jui-Shan
Cheng, Yung-Yen
Chang, Chih-Hung
Lee, Cheng-Hung
Huang, Yi-Chia
Su, Yi-Chang
author_sort Lin, Sunny Jui-Shan
collection PubMed
description Pathogenesis of sepsis includes complex interaction between pathogen activities and host response, manifesting highly variable signs and symptoms, possibly delaying diagnosis and timely life-saving interventions. This study applies traditional Chinese medicine (TCM) Zheng diagnosis in patients with severe sepsis and septic shock to evaluate its adaptability and use as an early predictor of sepsis mortality. Three-year prospective observational study enrolled 126 septic patients. TCM Zheng diagnosis, Acute Physiology and Chronic Health Evaluation (APACHE) II score, and blood samples for host response cytokines measurement (tumor necrosis factor-α, Interleukin-6, Interleukin-8, Interleukin-10, Interleukin-18) were collected within 24 hours after admission to Intensive Care Unit. Main outcome was 28-day mortality; multivariate logistic regression analysis served to determine predictive variables of the sepsis mortality. APACHE II score, frequency of Nutrient-phase heat, and Qi-Xu and Yang-Xu Zhengs were significantly higher in nonsurvivors. The multivariate logistic regression analysis identified Yang-Xu Zheng as the outcome predictor. APACHE II score and levels of five host response cytokines between patients with and without Yang-Xu Zheng revealed significant differences. Furthermore, cool extremities and weak pulse, both diagnostic signs of Yang-Xu Zheng, were also proven independent predictors of sepsis mortality. TCM diagnosis “Yang-Xu Zheng” may provide a new mortality predictor for septic patients.
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spelling pubmed-38246392013-11-26 Traditional Chinese Medicine Diagnosis “Yang-Xu Zheng”: Significant Prognostic Predictor for Patients with Severe Sepsis and Septic Shock Lin, Sunny Jui-Shan Cheng, Yung-Yen Chang, Chih-Hung Lee, Cheng-Hung Huang, Yi-Chia Su, Yi-Chang Evid Based Complement Alternat Med Research Article Pathogenesis of sepsis includes complex interaction between pathogen activities and host response, manifesting highly variable signs and symptoms, possibly delaying diagnosis and timely life-saving interventions. This study applies traditional Chinese medicine (TCM) Zheng diagnosis in patients with severe sepsis and septic shock to evaluate its adaptability and use as an early predictor of sepsis mortality. Three-year prospective observational study enrolled 126 septic patients. TCM Zheng diagnosis, Acute Physiology and Chronic Health Evaluation (APACHE) II score, and blood samples for host response cytokines measurement (tumor necrosis factor-α, Interleukin-6, Interleukin-8, Interleukin-10, Interleukin-18) were collected within 24 hours after admission to Intensive Care Unit. Main outcome was 28-day mortality; multivariate logistic regression analysis served to determine predictive variables of the sepsis mortality. APACHE II score, frequency of Nutrient-phase heat, and Qi-Xu and Yang-Xu Zhengs were significantly higher in nonsurvivors. The multivariate logistic regression analysis identified Yang-Xu Zheng as the outcome predictor. APACHE II score and levels of five host response cytokines between patients with and without Yang-Xu Zheng revealed significant differences. Furthermore, cool extremities and weak pulse, both diagnostic signs of Yang-Xu Zheng, were also proven independent predictors of sepsis mortality. TCM diagnosis “Yang-Xu Zheng” may provide a new mortality predictor for septic patients. Hindawi Publishing Corporation 2013 2013-10-24 /pmc/articles/PMC3824639/ /pubmed/24282436 http://dx.doi.org/10.1155/2013/759748 Text en Copyright © 2013 Sunny Jui-Shan Lin et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Lin, Sunny Jui-Shan
Cheng, Yung-Yen
Chang, Chih-Hung
Lee, Cheng-Hung
Huang, Yi-Chia
Su, Yi-Chang
Traditional Chinese Medicine Diagnosis “Yang-Xu Zheng”: Significant Prognostic Predictor for Patients with Severe Sepsis and Septic Shock
title Traditional Chinese Medicine Diagnosis “Yang-Xu Zheng”: Significant Prognostic Predictor for Patients with Severe Sepsis and Septic Shock
title_full Traditional Chinese Medicine Diagnosis “Yang-Xu Zheng”: Significant Prognostic Predictor for Patients with Severe Sepsis and Septic Shock
title_fullStr Traditional Chinese Medicine Diagnosis “Yang-Xu Zheng”: Significant Prognostic Predictor for Patients with Severe Sepsis and Septic Shock
title_full_unstemmed Traditional Chinese Medicine Diagnosis “Yang-Xu Zheng”: Significant Prognostic Predictor for Patients with Severe Sepsis and Septic Shock
title_short Traditional Chinese Medicine Diagnosis “Yang-Xu Zheng”: Significant Prognostic Predictor for Patients with Severe Sepsis and Septic Shock
title_sort traditional chinese medicine diagnosis “yang-xu zheng”: significant prognostic predictor for patients with severe sepsis and septic shock
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3824639/
https://www.ncbi.nlm.nih.gov/pubmed/24282436
http://dx.doi.org/10.1155/2013/759748
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