Background: The ATN scheme was proposed as an unbiased biological characterization of the Alzheimer’s disease (AD) spectrum, grouping biomarkers into three categories: brain Amyloidosis-A, Tauopathy-T, Neurodegeneration-N. Although this scheme was mainly recommended for research, it is relevant for diagnosis. Objective: To evaluate the ATN scheme performance in real-life cohorts reflecting the inflow of patients with cognitive complaints and different underlying disorders in general neurological centers. Methods: We included patients (n = 1,128) from six centers with their core cerebrospinal fluid-AD biomarkers analyzed centrally. A was assessed through Aβ42/Aβ40, T through pTau-181, and N through tTau. Association between demographic features, clinical diagnosis at baseline/follow-up and ATN profiles was assessed. Results: The prevalence of ATN categories was: A-T-N-: 28.3%; AD continuum (A + T-/+N-/+): 47.8%; non-AD (A- plus T or/and N+): 23.9%. ATN profiles prevalence was strongly influenced by age, showing differences according to gender, APOE genotype, and cognitive status. At baseline, 74.6% of patients classified as AD fell in the AD continuum, decreasing to 47.4% in mild cognitive impairment and 42.3% in other neurodegenerative conditions. At follow-up, 41% of patients changed diagnosis, and 92% of patients that changed to AD were classified within the AD continuum. A + was the best individual marker for predicting a final AD diagnosis, and the combinations A + T+ (irrespective of N) and A + T+N+ had the highest overall accuracy (83%). Conclusion: The ATN scheme is useful to guide AD diagnosis in real-life neurological centers settings. However, it shows a lack of accuracy for patients with other types of dementia. In such cases, the inclusion of other markers specific for non-AD proteinopathies could be an important aid to the differential diagnosis.

Introduction:The growing concern surrounding health safety issues makes it essential that everyone, in particular the elderly due to their commonly prescribed multiple drugs, has a complete and up to date list of prescriptions. We planned to assess the quality of the electronic records of prolonged medication. Material and Methods:This is an observational, transversal and descriptive study, with an analytical component, in which we assessed the technical quality of prolonged medication records of elderly patients of four primary health care, before and after a guided intervention. The doctors received training in good practice recording methods and both professionals and patients were stimulated to use the prolonged medication guide. Results: We evaluated 388 medical records of 33 physicians. The ideal category 'Appropriated medication with posology' improved from 23.5% to 48% (p < 0,001). The remaining categories 'Inappropriated Medication' and 'Appropriated medication but absent posology' decreased from 16.7% to 7% (p = 0,006) and from 59.8% to 46.0% (p = 0,02), respectively. The variables mentor's training skills, workplace, length of family practice and the percentage of elderly in the physician's list showed statistical significance differences at the beginning of the study which disappeared after the intervention, except for the latter. Discussion: In this study, physicians accepted the proposed changes, regardless of age, gender, mentor's training skills, workplace or length of family practice. Longer duration appointments in the eldery group may be an obstacle in achieving the best results. Conclusion: This original study reveals the necessity to implement periodic postgraduate training to encourage physicians to keep medical records up to date.

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