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Smell Identification Deficits as a Predictive Tool for Schizophrenia.

机译:气味识别缺陷可作为精神分裂症的预测工具。

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摘要

Olfactory deficits in schizophrenia are well-established and related to the deficit syndrome (DS), or the presence of primary negative symptoms. We explored the predictive ability of smell identification deficits in identifying DS patients with diminished emotional expression (EE). The full 40-item University of Pennsylvania Smell Identification Test (UPSIT) was administered to 54 healthy controls and 52 patients with schizophrenia or schizoaffective disorder. A Positive and Negative Syndrome Scale (PANSS)-derived proxy measure was used to diagnose 13 DS patients. A Kruskal-Wallis Test revealed a significant difference in UPSIT scores among all groups, chi²(2, n = 106) = 30.19, p < .001. Planned comparisons using Mann-Whitney U tests revealed lower UPSIT total scores by DS patients vs. controls (U = 71.00, z = -4.46, p < .001, r = .54), non-DS patients vs. controls (U = 525.00, z = -4.13, p < .001, r = .43) and DS patients vs. non-DS patients (U = 142.00, z = -2.36, p = .018, r = .33). Receiver-operating-characteristic (ROC) curve analysis of UPSIT scores yielded 89.9% accuracy for identifying DS vs. controls (95% CI: 78.4 -- 1.01%). A criterion set to 29 or less for classification of DS obtained sensitivity of 84.6% and specificity of 92.6%. The UPSIT showed high accuracy for identifying DS patients with diminished EE, whose more severe SIDs implicate common underlying prefrontal and parietal regions involving facial expression and odor identification. Further investigation and development of measures to better identify early sensory deficits will promote early screening in schizophrenia.
机译:精神分裂症的嗅觉缺陷是公认的,并且与缺陷综合征(DS)或原发性阴性症状有关。我们探讨了在识别情绪表达(EE)减少的DS患者中嗅觉识别缺陷的预测能力。完整的40项宾夕法尼亚大学气味识别测试(UPSIT)已施用于54位健康对照者和52位精神分裂症或精神分裂症患者。阳性和阴性综合征量表(PANSS)得出的替代指标用于诊断13例DS患者。 Kruskal-Wallis检验显示所有组之间的UPSIT得分存在显着差异,chi²(2,n = 106)= 30.19,p <.001。使用Mann-Whitney U检验进行的计划比较显示,DS患者与对照组(U = 71.00,z = -4.46,p <.001,r = .54),非DS患者与对照组(U = 525.00,z = -4.13,p <.001,r = .43),DS患者与非DS患者(U = 142.00,z = -2.36,p = .018,r = .33)。 UPSIT分数的接收者操作特征(ROC)曲线分析可得出识别DS与对照的准确率达89.9%(95%CI:78.4-1.01%)。 DS分类标准设为29或更小,灵敏度为84.6%,特异性为92.6%。 UPSIT对EE减少的DS患者显示出很高的准确性,其更严重的SID暗示了涉及面部表情和气味识别的常见基础前额叶和顶叶区域。进一步研究和开发更好地识别早期感觉缺陷的措施将促进精神分裂症的早期筛查。

著录项

  • 作者

    Mauro, Cristina J.;

  • 作者单位

    Yeshiva University.;

  • 授予单位 Yeshiva University.;
  • 学科 Psychology Clinical.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 159 p.
  • 总页数 159
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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