162920 20251017144622.0 doi 10.1016/j.inpsyc.2025.100129 sideral 145439 ART-2025-145439 eng Molina-Torres, Nora Universidad de Zaragoza Clinical parameters predicted the progression to dementia in oldest old patients with mild cognitive impairment (MCI) 2025 Access copy available to the general public Unrestricted Background: This study intends to assess to what extent instruments commonly used in clinical practice, as well as plasma p-tau-181, can predict the progression from MCI to dementia. The usefulness of a disease progression model (DPM) is also explored. Methods: A longitudinal, prospective nested case-control study was conducted with patients from the Geriatrics outpatient clinics who met the MCI International Working Group criteria. The patients had a first clinical interview and two follow-ups after 12 and 24 months. Validated Spanish instruments were used for assessment, including the Mini-Mental State Examination (MMSE), the clock test, verbal fluency, the EURO-D depression scale, Barthel’s Index, and Lawton’s Index. P-tau-181 analysis was performed with SIMOA (Single MOlecule Array). A robust parametric disease progression model (RPDPM) was developed. Results. Fifty-nine patients fulfilled the inclusion criteria. The median age was 82.7 + /−8.7 years, 93 % had amnestic MCI and 45.8 % progressed to dementia (ICD-11 criteria) in two years. P-tau-181 was not prognostic. An RPDPM with the MMSE, clock test, and Lawton’s Index could predict progression to dementia with an AUC of 0.945. Conclusion: A combination of the MMSE, clock test, and Lawton’s Index in a DPM model predicted progression from MCI to dementia best. P-tau and other blood biomarkers did not predict progression. Our results highlight the strength of clinical variables to predict the progression of MCI. info:eu-repo/grantAgreement/ES/DGA/A19-23R info:eu-repo/grantAgreement/ES/FIS/PI21-00286 info:eu-repo/grantAgreement/ES/ISCIII/FEDER/PI21-00372 info:eu-repo/semantics/openAccess by https://creativecommons.org/licenses/by/4.0/deed.es info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Platero, Carlos Pérez-Berasategui, Oscar Universidad de Zaragoza Andrés-Benito, Pol Povedano, Mónica Mesa-Lampré, Pilar Abadía-Morales, María Calvo, Ana-Cristina Universidad de Zaragoza (orcid)0000-0001-5193-7782 Lobo, Antonio Universidad de Zaragoza (orcid)0000-0002-9098-655X De La Cámara-Izquierdo, Concepción Universidad de Zaragoza (orcid)0000-0003-2284-7862 Osta, Rosario Universidad de Zaragoza (orcid)0000-0001-5687-6704 1006 255 Universidad de Zaragoza Dpto. Fisiatría y Enfermería Área Enfermería 1001 420 Universidad de Zaragoza Dpto. Anatom.,Embri.Genét.Ani. Área Genética 1007 610 Universidad de Zaragoza Dpto. Medicina, Psiqu. y Derm. Area Medicina 1007 745 Universidad de Zaragoza Dpto. Medicina, Psiqu. y Derm. Area Psiquiatría (2025), 100129 [8 pp.] Int. psychogeriatr. International Psychogeriatrics 1041-6102 2754218 http://zaguan.unizar.es/record/162920/files/texto_completo.pdf Versión publicada 2494648 http://zaguan.unizar.es/record/162920/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:162920 articulos driver 2025-10-17-14:22:28 ARTICLE