Temporal complexity in clinical manifestations of lung disease

被引:47
作者
Frey, Urs [1 ]
Maksym, Geoffrey [2 ,3 ]
Suki, Bela [4 ]
机构
[1] Univ Childrens Hosp Basel, CH-4031 Basel, Switzerland
[2] Dalhousie Univ, Sch Biomed Engn, Halifax, NS, Canada
[3] Dalhousie Univ, Dept Phys & Atmospher Sci, Halifax, NS, Canada
[4] Boston Univ, Dept Biomed Engn, Boston, MA 02215 USA
关键词
fractal; lung function; systems biology; lung; respiratory system; OBSTRUCTIVE PULMONARY-DISEASE; AIRWAY SMOOTH-MUSCLE; FETAL BREATHING DYNAMICS; LONG-RANGE CORRELATIONS; SHORT-TERM VARIABILITY; SYSTEMS BIOLOGY; RESPIRATORY PATTERNS; FLUCTUATION ANALYSIS; APPROXIMATE ENTROPY; NONLINEAR DYNAMICS;
D O I
10.1152/japplphysiol.01297.2010
中图分类号
Q4 [生理学];
学科分类号
071003 ;
摘要
Frey U, Maksym G, Suki B. Temporal complexity in clinical manifestations of lung disease. J Appl Physiol 110: 1723-1731, 2011. First published February 3, 2011; doi:10.1152/japplphysiol.01297.2010.-In this review, we summarize results of recent research on the temporal variability of lung function, symptoms, and inflammatory biomarkers. Specifically, we demonstrate how fluctuation analysis borrowed from statistical physics can be used to gain insight into neurorespiratory control and complex chronic dynamic diseases such as asthma viewed as a system of interacting components (e.g., inflammatory, immunological, and mechanical). Fluctuation analysis tools are based on quantifying the distribution and the short-and long-term temporal history of tidal breathing and lung function parameters to assess neurorespiratory control and monitor chronic disease. The latter includes the assessment of severity and disease control, the impact of treatment and environmental triggers, the temporal characterization of disease phenotypes, and the individual risk of exacerbation. While in many cases specific mechanistic insight into the fluctuations still awaits further research, appropriate analyses of the fluctuations already impact on clinical science and practice.
引用
收藏
页码:1723 / 1731
页数:9
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