Dariella A. Fernandez, Suzanne Schmitz, Heather Foil, Robert Brouillette, Jeffrey N. Keller, Robin C. Hilsabeck
{"title":"在美国轻度认知障碍和轻度痴呆患者样本中验证轻度认知障碍快速筛查结果","authors":"Dariella A. Fernandez, Suzanne Schmitz, Heather Foil, Robert Brouillette, Jeffrey N. Keller, Robin C. Hilsabeck","doi":"10.1002/gps.70026","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objective</h3>\n \n <p>Early detection of cognitive impairment is critical for patient outcomes, yet cognitive impairment is under identified in primary care settings largely due to time constraints. The Quick Mild Cognitive Impairment (Qmci) screen was developed to address the need for a short cognitive screening instrument (< 5 min) that is sensitive to early cognitive change but has not been validated in the United States (US). The objective of this study was to examine the classification accuracy of the Qmci in participants from two memory specialty (e.g., secondary outpatient) clinics in the US.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Participants were 152 older adults: 87 participants were cognitively normal (CN), 48 were diagnosed with mild cognitive impairment (MCI) and 17 were diagnosed with mild dementia (DEM). Classification accuracy of the Qmci and Mini Mental State Examination (MMSE) were compared in participants with and without cognitive impairment.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The Qmci demonstrated higher classification accuracy in differentiating CN from cognitively impaired participants (i.e., MCI and DEM) (AUC = 0.82) than the MMSE (AUC = 0.77). The optimal cut-off score for the Qmci was < 67, which achieved a sensitivity of 79% and specificity of 80%. The optimal MMSE cut-off score was < 27, which achieved a sensitivity of 97% and specificity of 43%.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>The Qmci is a valid cognitive screening instrument for detecting early stages of cognitive impairment in memory clinic samples in the US. Its short administration time and increased specificity for detecting MCI make it an attractive option for use in primary care settings. Further validation of the Qmci is needed, specifically within primary care settings.</p>\n </section>\n </div>","PeriodicalId":14060,"journal":{"name":"International Journal of Geriatric Psychiatry","volume":"39 11","pages":""},"PeriodicalIF":3.6000,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Validation of the Quick Mild Cognitive Impairment Screen in an American Sample of Patients With Mild Cognitive Impairment and Mild Dementia\",\"authors\":\"Dariella A. Fernandez, Suzanne Schmitz, Heather Foil, Robert Brouillette, Jeffrey N. Keller, Robin C. Hilsabeck\",\"doi\":\"10.1002/gps.70026\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Objective</h3>\\n \\n <p>Early detection of cognitive impairment is critical for patient outcomes, yet cognitive impairment is under identified in primary care settings largely due to time constraints. The Quick Mild Cognitive Impairment (Qmci) screen was developed to address the need for a short cognitive screening instrument (< 5 min) that is sensitive to early cognitive change but has not been validated in the United States (US). The objective of this study was to examine the classification accuracy of the Qmci in participants from two memory specialty (e.g., secondary outpatient) clinics in the US.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>Participants were 152 older adults: 87 participants were cognitively normal (CN), 48 were diagnosed with mild cognitive impairment (MCI) and 17 were diagnosed with mild dementia (DEM). Classification accuracy of the Qmci and Mini Mental State Examination (MMSE) were compared in participants with and without cognitive impairment.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>The Qmci demonstrated higher classification accuracy in differentiating CN from cognitively impaired participants (i.e., MCI and DEM) (AUC = 0.82) than the MMSE (AUC = 0.77). The optimal cut-off score for the Qmci was < 67, which achieved a sensitivity of 79% and specificity of 80%. The optimal MMSE cut-off score was < 27, which achieved a sensitivity of 97% and specificity of 43%.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>The Qmci is a valid cognitive screening instrument for detecting early stages of cognitive impairment in memory clinic samples in the US. Its short administration time and increased specificity for detecting MCI make it an attractive option for use in primary care settings. 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Validation of the Quick Mild Cognitive Impairment Screen in an American Sample of Patients With Mild Cognitive Impairment and Mild Dementia
Objective
Early detection of cognitive impairment is critical for patient outcomes, yet cognitive impairment is under identified in primary care settings largely due to time constraints. The Quick Mild Cognitive Impairment (Qmci) screen was developed to address the need for a short cognitive screening instrument (< 5 min) that is sensitive to early cognitive change but has not been validated in the United States (US). The objective of this study was to examine the classification accuracy of the Qmci in participants from two memory specialty (e.g., secondary outpatient) clinics in the US.
Methods
Participants were 152 older adults: 87 participants were cognitively normal (CN), 48 were diagnosed with mild cognitive impairment (MCI) and 17 were diagnosed with mild dementia (DEM). Classification accuracy of the Qmci and Mini Mental State Examination (MMSE) were compared in participants with and without cognitive impairment.
Results
The Qmci demonstrated higher classification accuracy in differentiating CN from cognitively impaired participants (i.e., MCI and DEM) (AUC = 0.82) than the MMSE (AUC = 0.77). The optimal cut-off score for the Qmci was < 67, which achieved a sensitivity of 79% and specificity of 80%. The optimal MMSE cut-off score was < 27, which achieved a sensitivity of 97% and specificity of 43%.
Conclusions
The Qmci is a valid cognitive screening instrument for detecting early stages of cognitive impairment in memory clinic samples in the US. Its short administration time and increased specificity for detecting MCI make it an attractive option for use in primary care settings. Further validation of the Qmci is needed, specifically within primary care settings.
期刊介绍:
The rapidly increasing world population of aged people has led to a growing need to focus attention on the problems of mental disorder in late life. The aim of the Journal is to communicate the results of original research in the causes, treatment and care of all forms of mental disorder which affect the elderly. The Journal is of interest to psychiatrists, psychologists, social scientists, nurses and others engaged in therapeutic professions, together with general neurobiological researchers.
The Journal provides an international perspective on the important issue of geriatric psychiatry, and contributions are published from countries throughout the world. Topics covered include epidemiology of mental disorders in old age, clinical aetiological research, post-mortem pathological and neurochemical studies, treatment trials and evaluation of geriatric psychiatry services.