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Evaluation of the effect of human biological stimulation feedback instrument for screening of metabolic syndrome

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Author:
No author available
Journal Title:
Chinese Journal of Health Management
Issue:
3
DOI:
10.3760/cma.j.issn.1674-0815.2016.03.013
Key Word:
代谢综合征X;普查;无创;Metabolic syndrome X;Mass screening;Health management

Abstract´╝Ü Objective To assess the effect of a noninvasive equipment (the human biological stimulation feedback instrument) for the screening of metabolic syndrome (MS). Methods The samples were selected from the International Health Care Center of the Second Affiliated Hospital of Zhejiang University College of Medicine. From January to December 2012, according to the inclusion criteria, a total of 5674 consecutive participants (3 437 men, 2 237 women) without medical history of diabetes mellitus underwent general health screening in this hospital, which included questionnaire investigation, all MS components and the risk assessment of the human biological stimulation feedback instrument. MS was defined according to 2004 the Chinese Diabetes Society (CDS) criteria. Results The 5 674 subjects were divided into three groups in accordance with the human biological stimulation feedback instrument risk score: the normal group, metabolic abnormalities low risk group, metabolic abnormalities high risk group. The detection rate of MS corresponding to the three groups was 8.73% (251/2 876), 29.32% (612/2 087), 32.77% (233/711), respectively (trend χ2=372.14,P<0.001). With the increase of risk score, the detection rate of MS increased. A total of 1 096 (male 879, female 217) were diagnosed MS by CDS criteria. The area under the curve (AUC) of the test was 0.674 (95%CI 0.658-0.691, P<0.000 1)for predicting MS. The corresponding cutoff value was 25.00%, the sensitivity, specificity, positive predictive value and negative predictive value of diagnosis of MS was 77.80%, 56.00%, 30.20%and 91.30%, respectively;409 subjects who had no history of MS and diabetes mellitus follow up for two years, the AUC of the test was 0.719 (95%CI 0.644-0.794)for predicting MS. The corresponding cutoff value was 25.00%, too. And the sensitivity and specificity of diagnosis of MS was 78.00%and 59.80%, respectively. The detection rate of MS was positively correlated with the risk score. Conclusion We found that the human biological stimulation feedback instrument is a potential screening approach for early predicting MS in health checkup with simple and noninvasive procedure and high negative predictive value, although its diagnostic efficiency is not so good. And it might have a warning effect on the progress of MS.

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