The impact of depression in Alzheimers disease hospitalized patients: a study protocol for a nationwide retrospective study

• Tipo: Outra Publicação em Revista Científica Internacional
• Data: 2022

Autores

Bras, B (Autor) Outra; Ferreira, AR (Autor) FMUP; Goncalves Pinho, M (Autor) FMUP; Freitas A (Autor) FMUP; Lia Fernandes (Autor) FMUP

Revista

Título: European Psychiatry

Vol. 65

Páginas: S260-S261

ISSN: 0924-9338

Editora: Cambridge University Press

Indexação

ISI Web of Knowledge - 0 Citações

Outras Informações

ID Authenticus: P-00X-6BC

DOI: 10.1192/j.eurpsy.2022.670

Abstract (EN): <jats:sec id="S0924933822006708_sec03705" sec-type="intro"> <jats:title>Introduction</jats:title> <jats:p>Alzheimer¿s disease (AD) is the leading cause of dementia worldwide. About 40-50% of AD patients are also affected by depression, with mounting evidence suggesting its association with worse disease prognosis and negative outcomes, such as lower quality of life, higher mortality and more hospitalizations. However, few studies have specifically measured the association of depression with AD hospitalization outcomes.</jats:p> </jats:sec> <jats:sec id="S0924933822006708_sec03706"> <jats:title>Objectives</jats:title> <jats:p>To characterize depression among all hospitalizations with a registered diagnosis of AD and to explore its association with hospitalization outcomes, including in-hospital mortality, length of stay and discharge destination.</jats:p> </jats:sec> <jats:sec id="S0924933822006708_sec03707" sec-type="methods"> <jats:title>Methods</jats:title> <jats:p>A retrospective observational study will be conducted following the RECORD statement. A Portuguese nationwide hospitalization database from all mainland public hospitals will be used. Episodes of inpatients ¿65 years old with a primary or secondary diagnosis of AD (ICD-9-CM code 331.0), discharged between 2008-2015, will be selected. Codes 296.2X, 296.3X, 300.4 and 311 will be used to identify episodes with a concomitant registry of depression at any diagnostic position. Descriptive, univariate and multivariate approaches will be used.</jats:p> </jats:sec> <jats:sec id="S0924933822006708_sec03708" sec-type="results"> <jats:title>Results</jats:title> <jats:p>A total of 61 361 episodes complying with the fixed criteria will be assigned to one of two groups (with vs without depression). Groups will be compared regarding sociodemographic characteristics, comorbidity profile, type of admission (planned vs urgent) and hospitalization outcomes. Results regarding the association of depression and outcomes will be presented as crude and adjusted odds ratios (OR).</jats:p> </jats:sec> <jats:sec id="S0924933822006708_sec03709" sec-type="conclusions"> <jats:title>Conclusions</jats:title> <jats:p>With this nationwide analysis, we expect to contribute to the clarification of depression impact on AD hospitalizations, so that best-practice care may be provided to these patients.</jats:p> </jats:sec> <jats:sec id="S0924933822006708_sec03710"> <jats:title>Disclosure</jats:title> <jats:p>No significant relationships.</jats:p> </jats:sec>

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 2