C. Carnero-Pardo , S. López-Alcalde , M. Florido-Santiago , M. Espinosa-García , I. Rego-García , R. Calle-Calle , I. Carrera-Muñoz , R. de la Vega-Cotarelo
{"title":"联合使用Fototest和Mini-Cog治疗认知障碍的诊断效用和预测效度","authors":"C. Carnero-Pardo , S. López-Alcalde , M. Florido-Santiago , M. Espinosa-García , I. Rego-García , R. Calle-Calle , I. Carrera-Muñoz , R. de la Vega-Cotarelo","doi":"10.1016/j.nrl.2021.01.017","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><p>The Fototest and Mini-Cog include all the domains that are necessary in a cognitive assessment. This study aims to evaluate the diagnostic accuracy of the combined use of both instruments for detecting cognitive impairment.</p></div><div><h3>Methods</h3><p>We performed a phase <span>iii</span> diagnostic accuracy study with 2 independent samples: STUDY, which included 448 participants randomly allocated to 2 datasets (BASE [80%] and TEST [20%]); and EXTERNAL, which included 61 participants. The index test was consecutive administration of the Fototest and Mini-Cog, and the reference test was formal cognitive assessment. We evaluated the diagnostic accuracy of two-step vs. consecutive application of the tests and simple (Comb-Simple), logistic regression (Comb-LR), and random decision tree (Comb-RDT) models of their combined use for detecting cognitive impairment (Global Deterioration Scale score ≥ 3). We performed an exploratory analysis of the BASE dataset, selecting criteria that maximise accuracy; a pre-specified analysis was used to evaluate the selected criteria in the TEST and EXTERNAL datasets.</p></div><div><h3>Results</h3><p>The diagnostic accuracy (95% confidence interval) of the combined models in the BASE dataset (Comb-Simple: 88.3 [88.5-91.4]; Comb-LR: 91.6 [88.2-94.3]; Comb-RDT 95.2 [92.5-97.2]) was significantly higher than the individual values observed for the Mini-Cog and Fototest (81.6 [77.1-85.4] and 84.9 [80.8-88.5], respectively). These results were replicated in the TEST (Comb-Simple: 88.9; Comb-LR: 95.6; Comb-RDT: 92.2) and EXTERNAL datasets (Comb-Simple: 91.8; Comb-LR: 90.2; Comb-RDT: 88.5). Two-step application had the same diagnostic accuracy than consecutive application but required less time (mean [SD] of 197.3 s [56.7] vs. 233.9 s [45.2]; <em>P</em><.0001).</p></div><div><h3>Conclusions</h3><p>Combined application of the Fototest and Mini-Cog takes less than 4<!--> <!-->minutes and improves the diagnostic accuracy of both instruments. Two-step application is more efficient as it requires less time while maintaining the same diagnostic accuracy.</p></div>","PeriodicalId":19300,"journal":{"name":"Neurologia","volume":"38 9","pages":"Pages 653-662"},"PeriodicalIF":2.9000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.nrl.2021.01.017","citationCount":"2","resultStr":"{\"title\":\"Utilidad diagnóstica y validez predictiva del uso conjunto de Fototest y Mini-Cog en deterioro cognitivo\",\"authors\":\"C. Carnero-Pardo , S. López-Alcalde , M. Florido-Santiago , M. Espinosa-García , I. Rego-García , R. Calle-Calle , I. Carrera-Muñoz , R. de la Vega-Cotarelo\",\"doi\":\"10.1016/j.nrl.2021.01.017\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Introduction</h3><p>The Fototest and Mini-Cog include all the domains that are necessary in a cognitive assessment. This study aims to evaluate the diagnostic accuracy of the combined use of both instruments for detecting cognitive impairment.</p></div><div><h3>Methods</h3><p>We performed a phase <span>iii</span> diagnostic accuracy study with 2 independent samples: STUDY, which included 448 participants randomly allocated to 2 datasets (BASE [80%] and TEST [20%]); and EXTERNAL, which included 61 participants. The index test was consecutive administration of the Fototest and Mini-Cog, and the reference test was formal cognitive assessment. We evaluated the diagnostic accuracy of two-step vs. consecutive application of the tests and simple (Comb-Simple), logistic regression (Comb-LR), and random decision tree (Comb-RDT) models of their combined use for detecting cognitive impairment (Global Deterioration Scale score ≥ 3). We performed an exploratory analysis of the BASE dataset, selecting criteria that maximise accuracy; a pre-specified analysis was used to evaluate the selected criteria in the TEST and EXTERNAL datasets.</p></div><div><h3>Results</h3><p>The diagnostic accuracy (95% confidence interval) of the combined models in the BASE dataset (Comb-Simple: 88.3 [88.5-91.4]; Comb-LR: 91.6 [88.2-94.3]; Comb-RDT 95.2 [92.5-97.2]) was significantly higher than the individual values observed for the Mini-Cog and Fototest (81.6 [77.1-85.4] and 84.9 [80.8-88.5], respectively). These results were replicated in the TEST (Comb-Simple: 88.9; Comb-LR: 95.6; Comb-RDT: 92.2) and EXTERNAL datasets (Comb-Simple: 91.8; Comb-LR: 90.2; Comb-RDT: 88.5). Two-step application had the same diagnostic accuracy than consecutive application but required less time (mean [SD] of 197.3 s [56.7] vs. 233.9 s [45.2]; <em>P</em><.0001).</p></div><div><h3>Conclusions</h3><p>Combined application of the Fototest and Mini-Cog takes less than 4<!--> <!-->minutes and improves the diagnostic accuracy of both instruments. Two-step application is more efficient as it requires less time while maintaining the same diagnostic accuracy.</p></div>\",\"PeriodicalId\":19300,\"journal\":{\"name\":\"Neurologia\",\"volume\":\"38 9\",\"pages\":\"Pages 653-662\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2023-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.nrl.2021.01.017\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Neurologia\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0213485321000529\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neurologia","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0213485321000529","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Utilidad diagnóstica y validez predictiva del uso conjunto de Fototest y Mini-Cog en deterioro cognitivo
Introduction
The Fototest and Mini-Cog include all the domains that are necessary in a cognitive assessment. This study aims to evaluate the diagnostic accuracy of the combined use of both instruments for detecting cognitive impairment.
Methods
We performed a phase iii diagnostic accuracy study with 2 independent samples: STUDY, which included 448 participants randomly allocated to 2 datasets (BASE [80%] and TEST [20%]); and EXTERNAL, which included 61 participants. The index test was consecutive administration of the Fototest and Mini-Cog, and the reference test was formal cognitive assessment. We evaluated the diagnostic accuracy of two-step vs. consecutive application of the tests and simple (Comb-Simple), logistic regression (Comb-LR), and random decision tree (Comb-RDT) models of their combined use for detecting cognitive impairment (Global Deterioration Scale score ≥ 3). We performed an exploratory analysis of the BASE dataset, selecting criteria that maximise accuracy; a pre-specified analysis was used to evaluate the selected criteria in the TEST and EXTERNAL datasets.
Results
The diagnostic accuracy (95% confidence interval) of the combined models in the BASE dataset (Comb-Simple: 88.3 [88.5-91.4]; Comb-LR: 91.6 [88.2-94.3]; Comb-RDT 95.2 [92.5-97.2]) was significantly higher than the individual values observed for the Mini-Cog and Fototest (81.6 [77.1-85.4] and 84.9 [80.8-88.5], respectively). These results were replicated in the TEST (Comb-Simple: 88.9; Comb-LR: 95.6; Comb-RDT: 92.2) and EXTERNAL datasets (Comb-Simple: 91.8; Comb-LR: 90.2; Comb-RDT: 88.5). Two-step application had the same diagnostic accuracy than consecutive application but required less time (mean [SD] of 197.3 s [56.7] vs. 233.9 s [45.2]; P<.0001).
Conclusions
Combined application of the Fototest and Mini-Cog takes less than 4 minutes and improves the diagnostic accuracy of both instruments. Two-step application is more efficient as it requires less time while maintaining the same diagnostic accuracy.
期刊介绍:
Neurología es la revista oficial de la Sociedad Española de Neurología y publica, desde 1986 contribuciones científicas en el campo de la neurología clínica y experimental. Los contenidos de Neurología abarcan desde la neuroepidemiología, la clínica neurológica, la gestión y asistencia neurológica y la terapéutica, a la investigación básica en neurociencias aplicada a la neurología. Las áreas temáticas de la revistas incluyen la neurologia infantil, la neuropsicología, la neurorehabilitación y la neurogeriatría. Los artículos publicados en Neurología siguen un proceso de revisión por doble ciego a fin de que los trabajos sean seleccionados atendiendo a su calidad, originalidad e interés y así estén sometidos a un proceso de mejora. El formato de artículos incluye Editoriales, Originales, Revisiones y Cartas al Editor, Neurología es el vehículo de información científica de reconocida calidad en profesionales interesados en la neurología que utilizan el español, como demuestra su inclusión en los más prestigiosos y selectivos índices bibliográficos del mundo.