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机构地区:[1]福建省医科大学临床教学医院福建省福州肺科医院儿科,福建福州350008
出 处:《中外医疗》2017年第13期4-8,共5页China & Foreign Medical Treatment
基 金:福建省福州市科技计划项目(2014-S-138-2)
摘 要:目的用表面增强激光解析电离飞行时间质谱(SELDI-TOF-MS)技术和蛋白质芯片技术检测儿童支原体肺炎(MPP)和非MPP患者血清蛋白指纹图谱,探讨基于人工神经网络的的蛋白指纹图谱诊断模型对儿童MPP早期诊断的价值。方法用SELDI-TOF-MS技术和蛋白质芯片技术测定2014年11月—2016年6月该院儿科住院的130例血清标本的蛋白指纹图谱,其中MPP 68例,非MPP 62例。将测定的血清蛋白指纹图谱建立人工神经网络预测模型,用随机抽取的75例标本(MPP 40例,非MPP 35例)作为训练组,进行训练与交叉验证,另外55例标本(MPP 28例,非MPP 27例)作为测试组,进行盲法验证该模型。结果利用从75例训练组得出的基于人工神经网络的由M/Z为4 094.91、4 650.51、5 825.38、6 031.77、7 862.79、10 122.04组成的MPP血清蛋白指纹图谱决策树诊断模型,对MPP诊断的敏感性95.00%(38/40),特异性为88.57%(31/35),阳性率为92.00%(69/75),ROC曲线下面积为0.975,利用测试组的55例标本对模型进行验证,结果显示,对MPP诊断的敏感性89.29%(25/28),特异性为96.30%(26/27),阳性率为92.27%(51/55)。结论该研究建立的支原体肺炎蛋白指纹图谱诊断模型对支原体肺炎的检测时间短,诊断准确率高,有助于诊断支原体肺炎。Objective E n h an c e d la se r d e sorption ionization t ime -o f - f l ig h t mass spe ctrome try (S E LD I -TO F -MS ) with the purpose of detect ing mycoplasma pneumonia in chi ldren and the technology of protein chip technology (MPP) and non MPP serum protein fingerpr int, explore the early diagnosis of chi ldren MPP protein fingerpr ints of the ar t if icial neural network diagnos tic model based on the value of. Methods The p ro te in f ing erpr in ts of 130 serum samples which be in p ed ia tr ic s from Nov. 2014 to Jun. 2016 were determined by SELDI -TOF-MS and protein chip technique, including MPP 68 cases and non MPP 62 cases. The determination of serum protein fingerpr int to establ ish ar tif icial neural network predict ion model, using 75 samples randomly selected (MPP 40 cases , MPP 35 cases) as the training group, training and cross validation, the other 55 specimens (MPP 28 cases , MPP 27 cases) as the tes t group, the blind method to verify the model. Results From 75 c a s -es of training group based on the ar t if icial neural network by M/Z was 4 094.91, 4 650.51, 5 825.38, 6 031.77, 7 862.79, 10 122.04 OMPP serum protein fingerpr int decis ion tree diagnosis model, the sensit ivity of 95.00% in diagnosis of MPP (38/40), the specif ici ty was 88.57% (31 /35), the positive rate was 92.00% (69/75), the area under the ROC curve was 0.975, verified the model by us ing 55 samples test Results showed th a t th e sensit ivity of 8 9.29% in diagnosis of MPP (25/28), th e specificity was 96.30% (26/27), the positive rate was 92.27% (51/55). Conclusion The diag n os tic model of Mycoplasma pneum o niae protein fingerpr int establ ished in this study can be used for the diagnosis of Mycoplasma pneumonia.
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