Assessment of Screening Approach in Early and Differential Alzheimer’s Disease Diagnosis

Background: Alzheimer’s disease (AD) is the leading cause of dementia in the elderly population. Currently, diagnosis is based on invasive and expensive techniques, so there is a growing need to look for other possible tests, as well as carry out clinical validation. Studies from the literature show...

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Autores principales: Laura Ferré-González, Carmen Peña-Bautista, Lourdes Álvarez-Sánchez, Inés Ferrer-Cairols, Miguel Baquero, Consuelo Cháfer-Pericás
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Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:d440933269cf4680b311ed7d204876862021-11-25T16:25:36ZAssessment of Screening Approach in Early and Differential Alzheimer’s Disease Diagnosis10.3390/antiox101116622076-3921https://doaj.org/article/d440933269cf4680b311ed7d204876862021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3921/10/11/1662https://doaj.org/toc/2076-3921Background: Alzheimer’s disease (AD) is the leading cause of dementia in the elderly population. Currently, diagnosis is based on invasive and expensive techniques, so there is a growing need to look for other possible tests, as well as carry out clinical validation. Studies from the literature showed potential diagnosis models, including some AD risk factors (age, gender, ApoE-ε4 genotype) and other variables (biomarkers levels, neuroimaging). Specifically, a recent model was performed from lipid peroxidation compounds in plasma samples to identify patients with early AD. However, there is a lack of studies about clinical validation of these preliminary diagnosis models. Methods: Plasma samples from participants classified into AD (<i>n</i> = 61), non-AD (<i>n</i> = 17), and healthy (<i>n</i> = 44) were analyzed. In fact, lipid peroxidation compounds were determined by liquid chromatography and mass spectrometry. Then, a previously developed diagnosis model was clinically validated, evaluating some diagnosis indexes. Results: The validation of the preliminary diagnosis model showed satisfactory diagnosis indexes (accuracy 77%, sensitivity 89%, specificity 61%, diagnostic odds ratio 12.5, positive predictive value 76%). Next, a useful screening tool, including the ApoE genotype, was developed, identifying patients with a higher risk of developing AD and improving the corresponding diagnosis indexes (accuracy 82%, sensitivity 81%, specificity 85%, diagnostic odds ratio 23.2, positive predictive value 90.5%). Conclusion: A new screening approach could improve the early, minimally invasive, and differential AD diagnosis in the general population.Laura Ferré-GonzálezCarmen Peña-BautistaLourdes Álvarez-SánchezInés Ferrer-CairolsMiguel BaqueroConsuelo Cháfer-PericásMDPI AGarticleAlzheimer’s diseasediagnosis modelplasmabiomarkerapolipoprotein E (ApoE)validationTherapeutics. PharmacologyRM1-950ENAntioxidants, Vol 10, Iss 1662, p 1662 (2021)
institution DOAJ
collection DOAJ
language EN
topic Alzheimer’s disease
diagnosis model
plasma
biomarker
apolipoprotein E (ApoE)
validation
Therapeutics. Pharmacology
RM1-950
spellingShingle Alzheimer’s disease
diagnosis model
plasma
biomarker
apolipoprotein E (ApoE)
validation
Therapeutics. Pharmacology
RM1-950
Laura Ferré-González
Carmen Peña-Bautista
Lourdes Álvarez-Sánchez
Inés Ferrer-Cairols
Miguel Baquero
Consuelo Cháfer-Pericás
Assessment of Screening Approach in Early and Differential Alzheimer’s Disease Diagnosis
description Background: Alzheimer’s disease (AD) is the leading cause of dementia in the elderly population. Currently, diagnosis is based on invasive and expensive techniques, so there is a growing need to look for other possible tests, as well as carry out clinical validation. Studies from the literature showed potential diagnosis models, including some AD risk factors (age, gender, ApoE-ε4 genotype) and other variables (biomarkers levels, neuroimaging). Specifically, a recent model was performed from lipid peroxidation compounds in plasma samples to identify patients with early AD. However, there is a lack of studies about clinical validation of these preliminary diagnosis models. Methods: Plasma samples from participants classified into AD (<i>n</i> = 61), non-AD (<i>n</i> = 17), and healthy (<i>n</i> = 44) were analyzed. In fact, lipid peroxidation compounds were determined by liquid chromatography and mass spectrometry. Then, a previously developed diagnosis model was clinically validated, evaluating some diagnosis indexes. Results: The validation of the preliminary diagnosis model showed satisfactory diagnosis indexes (accuracy 77%, sensitivity 89%, specificity 61%, diagnostic odds ratio 12.5, positive predictive value 76%). Next, a useful screening tool, including the ApoE genotype, was developed, identifying patients with a higher risk of developing AD and improving the corresponding diagnosis indexes (accuracy 82%, sensitivity 81%, specificity 85%, diagnostic odds ratio 23.2, positive predictive value 90.5%). Conclusion: A new screening approach could improve the early, minimally invasive, and differential AD diagnosis in the general population.
format article
author Laura Ferré-González
Carmen Peña-Bautista
Lourdes Álvarez-Sánchez
Inés Ferrer-Cairols
Miguel Baquero
Consuelo Cháfer-Pericás
author_facet Laura Ferré-González
Carmen Peña-Bautista
Lourdes Álvarez-Sánchez
Inés Ferrer-Cairols
Miguel Baquero
Consuelo Cháfer-Pericás
author_sort Laura Ferré-González
title Assessment of Screening Approach in Early and Differential Alzheimer’s Disease Diagnosis
title_short Assessment of Screening Approach in Early and Differential Alzheimer’s Disease Diagnosis
title_full Assessment of Screening Approach in Early and Differential Alzheimer’s Disease Diagnosis
title_fullStr Assessment of Screening Approach in Early and Differential Alzheimer’s Disease Diagnosis
title_full_unstemmed Assessment of Screening Approach in Early and Differential Alzheimer’s Disease Diagnosis
title_sort assessment of screening approach in early and differential alzheimer’s disease diagnosis
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/d440933269cf4680b311ed7d20487686
work_keys_str_mv AT lauraferregonzalez assessmentofscreeningapproachinearlyanddifferentialalzheimersdiseasediagnosis
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AT lourdesalvarezsanchez assessmentofscreeningapproachinearlyanddifferentialalzheimersdiseasediagnosis
AT inesferrercairols assessmentofscreeningapproachinearlyanddifferentialalzheimersdiseasediagnosis
AT miguelbaquero assessmentofscreeningapproachinearlyanddifferentialalzheimersdiseasediagnosis
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