Literature DB >> 20575470

Nonspecific biochemical changes under different health statuses and a quantitative model based on biological markers to evaluate systemic function in humans.

Wang Hongwei1, Zhao Xinyu, Luan Guihong, Liu Xiliang, Liu Hui.   

Abstract

BACKGROUND: To investigate the markers of systemic function by using laboratory parameters as life parameters.
METHODS: Lymphocyte count, albumin, and creatinine levels were measured using automatic analyzers in young, healthy individuals (20-39 years) and senior individuals (80-95 years) as well as in terminally ill patients. We developed a mathematic model and scoring system (indexes of systemic function, ISF) based on the above mentioned biological markers.
RESULTS: ISF scores were significantly lower in the senior group (P < 0.05) than those in the young, healthy group. A significant decrease was observed in the ISF of the terminally ill group and that of the senior group (P < 0.05).
CONCLUSIONS: Our results suggest that the ISF scoring system of systemic function can be used to objectively evaluate the systemic function in individuals with different health statuses.

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Year:  2010        PMID: 20575470

Source DB:  PubMed          Journal:  Clin Lab        ISSN: 1433-6510            Impact factor:   1.138


  6 in total

1.  Objective assessment of health or pre-chronic disease state based on a health test index derived from routinely measured clinical laboratory parameters.

Authors:  Sun Wenping; Liu Ying; Leng Song; Li Yuzhong; Liu Hui
Journal:  J Transl Med       Date:  2015-04-22       Impact factor: 5.531

2.  Quantitatively plotting the human face for multivariate data visualisation illustrated by health assessments using laboratory parameters.

Authors:  Wang Hongwei; Liu Hui
Journal:  Comput Math Methods Med       Date:  2013-12-18       Impact factor: 2.238

3.  A grading system from health to death using routine experimental indicators based on the pre-chronic disease status theory.

Authors:  Yang Guang; Li Yuzhong; Liu Hui
Journal:  BMC Geriatr       Date:  2020-07-20       Impact factor: 3.921

4.  Development of a prognostic score using the complete blood cell count for survival prediction in unselected critically ill patients.

Authors:  Fang Chongliang; Li Yuzhong; Shi Qian; Liu Xiliang; Liu Hui
Journal:  Biomed Res Int       Date:  2013-02-28       Impact factor: 3.411

5.  Nonspecific changes in clinical laboratory indicators in unselected terminally ill patients and a model to predict survival time based on a prospective observational study.

Authors:  Liu Hui; Liu Qigui; Ren Sashuang; Liu Xiliang; Luan Guihong
Journal:  J Transl Med       Date:  2014-03-22       Impact factor: 5.531

6.  Estimating the survival advantage based on telomere length and serum biomarkers of aging.

Authors:  Yilin Zhao; Shijun Li; Hui Liu
Journal:  J Transl Med       Date:  2017-08-01       Impact factor: 5.531

  6 in total

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