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Analysis on the Chinese medicine syndromes and demographic characteristics of patients with influenza-like illness in clinics of China

tetano

Editor, Senior Moderator
Chin J Integr Med. 2014 Feb;20(2):101-6. doi: 10.1007/s11655-013-1582-8. Epub 2014 Mar 6.
Analysis on the Chinese medicine syndromes and demographic characteristics of patients with influenza-like illness in clinics of China.
Ou AH1, Lu CJ, Li JQ, Li XY, Wen ZH, Deng H, Xue SQ, Ouyang WW.
Author information
Abstract
OBJECTIVE:

To investigate Chinese medicine (CM) patterns and epidemiological characters of patients with influenza-like illness (ILI) syndromes in clinics in China.
METHODS:

A prospective multi-center observational epidemiology survey on the clinical CM patterns of ILI and its prevalence was conducted from September 2009 to April 2010. A unified survey questionnaire was developed for data collection of ILI symptoms and CM patterns. Totally 45 hospitals from 22 provinces, municipality cities and autonomous regions of China participated this study. The collected data were input by EPI-data v3.1 and analyzed by SPSS 18.0, which included descriptive analysis and Chi-square test for group comparison.
RESULTS:

A total of 5,967 ILI patients were included in the study. The proportion of the 18-34 aged group (56.2%) was the largest; students (41.0%) were more than other occupations. Majority of the patients had the wind-heat invading Lung (Fei) syndrome (76%), while in Southwest China mainly wind-heat invading Lung syndrome and wind-cold tightening the exterior syndrome occurred. The typical symptoms of ILI were ranked as fatigue (80.9%), cough (72.2%), sore throat (67.2%), muscular soreness (67.1%), headache (65.4%), aversion to cold (60.1%), thirst (55.1%) and nasal obstruction (48.1%).
CONCLUSIONS:

The ILI patients in clinics were mainly teenagers and young adults. In regard to CM syndrome, wind-heat invading Lung syndrome prevailed in all regions except the Southwest China. The characteristics of CM syndrome of ILI patients may be relevant to age and region distribution.

PMID:
24619235
[PubMed - in process]

http://www.ncbi.nlm.nih.gov/pubmed/24619235
 
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