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精神分裂症患者呼出气体中的挥发性有机化合物。

Volatile organic compounds in the breath of patients with schizophrenia.

作者信息

Phillips M, Erickson G A, Sabas M, Smith J P, Greenberg J

机构信息

Department of Medicine, St Vincent's Medical Center of Richmond, Staten Island, NY 10310-1699, USA.

出版信息

J Clin Pathol. 1995 May;48(5):466-9. doi: 10.1136/jcp.48.5.466.

Abstract

AIMS

To analyse the breath of patients with schizophrenia for the presence of abnormal volatile organic compounds.

METHODS

A case comparison study was performed in two community hospitals in Staten Island, New York. Twenty five patients with schizophrenia, 26 patients with other psychiatric disorders, and 38 normal controls were studied. Alveolar breath samples were collected from all participants, and volatile organic compounds in the breath were assayed by gas chromatography with mass spectroscopy. Differences in the distribution of volatile organic compounds between the three groups were compared by computerised pattern recognition analysis.

RESULTS

Forty eight different volatile organic compounds were observed in the breath samples. Three separate pattern recognition methods indicated an increased differentiation capability between the patients with schizophrenia and the other subjects. Pattern recognition category classification models using 11 of these volatile organic compounds identified the patients with schizophrenia with a sensitivity of 80.0% and a specificity of 61.9%. Volatile organic compounds in breath were not significantly affected by drug therapy, age, sex, smoking, diet, or race.

CONCLUSIONS

Microanalysis of volatile organic compounds in breath combined with pattern recognition analysis of data may provide a new approach to the diagnosis and understanding of schizophrenia. The physiological basis of these findings is still speculative.

摘要

目的

分析精神分裂症患者呼出气体中是否存在异常挥发性有机化合物。

方法

在纽约斯塔滕岛的两家社区医院进行了一项病例对照研究。研究了25例精神分裂症患者、26例患有其他精神疾病的患者和38名正常对照者。从所有参与者收集肺泡呼出气体样本,并通过气相色谱-质谱联用技术分析呼出气体中的挥发性有机化合物。通过计算机模式识别分析比较三组之间挥发性有机化合物分布的差异。

结果

在呼出气体样本中观察到48种不同的挥发性有机化合物。三种不同的模式识别方法表明精神分裂症患者与其他受试者之间的区分能力增强。使用其中11种挥发性有机化合物的模式识别类别分类模型识别精神分裂症患者的灵敏度为80.0%,特异性为61.9%。呼出气体中的挥发性有机化合物不受药物治疗、年龄、性别、吸烟、饮食或种族的显著影响。

结论

结合数据模式识别分析对呼出气体中的挥发性有机化合物进行微量分析,可能为精神分裂症的诊断和理解提供一种新方法。这些发现的生理基础仍属推测。

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1
Demonstration of a peculiar odor in the sweat of schizophrenic patients.
AMA Arch Gen Psychiatry. 1960 Feb;2:184-8. doi: 10.1001/archpsyc.1960.03590080060010.
3
The diagnostic potential of breath analysis.
Clin Chem. 1983 Jan;29(1):5-15.
4
Odor of sanity.
JAMA. 1970 Apr 20;212(3):472-3. doi: 10.1001/jama.212.3.472.
7
Breath analysis. Physiological basis and sampling techniques.
Scand J Work Environ Health. 1986 Jun;12(3):174-92. doi: 10.5271/sjweh.2159.
8
[Lipid peroxidation processes in patients with schizophrenia].
Zh Nevropatol Psikhiatr Im S S Korsakova. 1989;89(5):108-10.
9
Schizophrenia in the melting pot.
Nature. 1991 Oct 24;353(6346):693-4. doi: 10.1038/353693a0.

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