Plan de mejora de la atención a personas cuidadoras en Andalucía. Plan Andaluz de Alzheimer 2007-2010

Díptico

Al lado, itinerario de atención compartida : Demencias, Alzheimer

En la port.: Confeafa. Publicado en la página web de la Consejería de Salud: www.juntadeandalucia.es/salud (Consejería de Salud / Ciudadanía / Nuestra Salud / Vida sana / Dependencia / AL LADO: Itinerario de Atención Compartida Demencias / Alzheimer / AL LADO. Itinerario de Atención Compartida Demencias / Alzheimer)

Plan andaluz de Alzheimer 2007-2010

Publicado en la página web de la Consejería de Igualdad, Salud y Políticas Sociales: www.juntadeandalucia.es/salud (Consejería de Igualdad, Salud y Políticas sociales / Ciudadanía / Quiénes Somos / Planes y Estrategias / Plan Andaluz de Alzheimer)

“Cada diagnóstico, una persona”, lema del día mundial del Alzheimer 2011

Boletín semanal para profesionales sanitarios de la Secretaría General de Salud Pública y Participación Social de la Consejería de Salud

Juntos podemos, lema del IV Congreso nacional de Alzheimer

Boletín semanal para profesionales sanitarios de la Secretaría General de Salud Pública y Participación Social de la Consejería de Salud

“Juntos podemos”, lema del día mundial del Alzheimer 2010

Boletín semanal para profesionales sanitarios de la Secretaría General de Salud Pública y Participación Social de la Consejería de Salud

‘No olvides, hay esperanza’, lema del día mundial del alzheimer 2009

Boletín semanal para profesionales sanitarios de la Secretaría General de Salud Pública y Participación Social de la Consejería de Salud

Effective diagnosis of Alzheimer's disease by means of large margin-based methodology.

BACKGROUND Functional brain images such as Single-Photon Emission Computed Tomography (SPECT) and Positron Emission Tomography (PET) have been widely used to guide the clinicians in the Alzheimer's Disease (AD) diagnosis. However, the subjectivity involved in their evaluation has favoured the development of Computer Aided Diagnosis (CAD) Systems. METHODS It is proposed a novel combination of feature extraction techniques to improve the diagnosis of AD. Firstly, Regions of Interest (ROIs) are selected by means of a t-test carried out on 3D Normalised Mean Square Error (NMSE) features restricted to be located within a predefined brain activation mask. In order to address the small sample-size problem, the dimension of the feature space was further reduced by: Large Margin Nearest Neighbours using a rectangular matrix (LMNN-RECT), Principal Component Analysis (PCA) or Partial Least Squares (PLS) (the two latter also analysed with a LMNN transformation). Regarding the classifiers, kernel Support Vector Machines (SVMs) and LMNN using Euclidean, Mahalanobis and Energy-based metrics were compared. RESULTS Several experiments were conducted in order to evaluate the proposed LMNN-based feature extraction algorithms and its benefits as: i) linear transformation of the PLS or PCA reduced data, ii) feature reduction technique, and iii) classifier (with Euclidean, Mahalanobis or Energy-based methodology). The system was evaluated by means of k-fold cross-validation yielding accuracy, sensitivity and specificity values of 92.78%, 91.07% and 95.12% (for SPECT) and 90.67%, 88% and 93.33% (for PET), respectively, when a NMSE-PLS-LMNN feature extraction method was used in combination with a SVM classifier, thus outperforming recently reported baseline methods. CONCLUSIONS All the proposed methods turned out to be a valid solution for the presented problem. One of the advances is the robustness of the LMNN algorithm that not only provides higher separation rate between the classes but it also makes (in combination with NMSE and PLS) this rate variation more stable. In addition, their generalization ability is another advance since several experiments were performed on two image modalities (SPECT and PET).

Acetylcholinesterase inhibitors and healing of hip fracture in Alzheimer's disease patients: a retrospective cohort study.

OBJECTIVES This study was designed to assess effects of cholinergic stimulation using acetylcholinesterase inhibitors (AChEIs), a group of drugs that stimulate cholinergic receptors and are used to treat Alzheimer's disease (AD), on healing of hip fractures. METHODS A retrospective cohort study was performed using 46-female AD patients, aged above 75 years, who sustained hip fractures. Study analyses included the first 6-months after hip fracture fixation procedure. Presence of AChEIs was used as predictor variable. Other variables that could affect study outcomes: age, body mass index (BMI), mental state or type of hip fracture, were also included. Radiographic union at fracture site (Hammer index), bone quality (Singh index) and fracture healing complications were recorded as study outcomes. The collected data was analyzed by student's-t, Mann-Whitney-U and chi-square tests. RESULTS No significant differences in age, BMI, mental state or type of hip fracture were observed between AChEIs-users and nonusers. However, AChEIs-users had better radiographic union at the fracture site (relative risk (RR),2.7; 95%confidence interval (CI),0.9-7.8), better bone quality (RR,2.0; 95%CI,1.2-3.3) and fewer healing complications (RR,0.8; 95%CI,0.7-1.0) than nonusers. CONCLUSION In elderly female patients with AD, the use of AChEIs might be associated with an enhanced fracture healing and minimized complications.

Al lado con la persona afectada por la enfermedad de Alzheimer en Huelva : instrumentos de mejora de la atención

Documento relacionado: Al lado, itinerario de atención compartida : Demencias, Alzheimer (http://hdl.handle.net/10668/487). Publicado en la página web de la Consejería de Salud y Bienestar Social: Consejería de Salud y Bienestar Social / Profesionales / Salud Pública / 'Al Lado' con... / 'Al Lado' con las personas afectadas por Alzheimer.