Predictive Factors of Depression in Heart Failure Patients

Detalhes bibliográficos
Autor(a) principal: João Ricardo da Costa Monteiro Botto
Data de Publicação: 2021
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/139771
Resumo: Background: Depressive symptomatology in Heart Failure (HF) has gained great importance, affecting one in five patients. This comorbidity is associated with an increased risk for hospitalization and mortality. Therefore, being aware of depression associated factors is key to a better outcome for these patients. The present study aimed to analyse those associated factors, including New York Heart Association (NYHA) functional classes, while also evaluating the presence of depressive symptoms in HF outpatients. Methods: This cross-sectional study is part of a larger research project (Deus Ex-Machina/NORTE-01-0145-FEDER-00026). HF patients were recruited from an outpatient clinic at a University Hospital. Exclusion criteria were: inability to communicate, severe visual/auditory acuity deficit, or NYHA Class IV. Sociodemographic and clinical data, including NYHA classes (I, II, III), were registered. Depression and anxiety were assessed using the Patient Health Questionnaire-9 and the Generalized Anxiety Disorder-7, respectively, having been considered clinically relevant when a score ≥ 10 was obtained. Predictive factors of depression were determined by logistic regression analysis. Results: From 136 HF patients, depression was present in 26%. Female gender, higher NYHA classes, and presence of anxiety were significantly associated with depression. Patients in the NYHA Class III (OR = 8.687; 95% CI: [1.769; 42.652]; p = 0.008) and with anxiety (OR = 17.19; 95% CI: [6.038; 48.934]; p < 0.001) had a higher risk of presenting clinically relevant depression than the ones in the NYHA Class I and without anxiety, respectively. Conclusions: Depression in the HF patients had a considerable rate (fitting previous studies' results), and its predictors were found to be the worst analysed NYHA class and anxiety. Consequently, preventing, monitoring, and treating depression in the management of HF patients becomes crucial. Further research is needed to better understand the association between depression and NYHA classes, towards an eventual improvement of these patients' outcomes.
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spelling Predictive Factors of Depression in Heart Failure PatientsMedicina clínicaClinical medicineBackground: Depressive symptomatology in Heart Failure (HF) has gained great importance, affecting one in five patients. This comorbidity is associated with an increased risk for hospitalization and mortality. Therefore, being aware of depression associated factors is key to a better outcome for these patients. The present study aimed to analyse those associated factors, including New York Heart Association (NYHA) functional classes, while also evaluating the presence of depressive symptoms in HF outpatients. Methods: This cross-sectional study is part of a larger research project (Deus Ex-Machina/NORTE-01-0145-FEDER-00026). HF patients were recruited from an outpatient clinic at a University Hospital. Exclusion criteria were: inability to communicate, severe visual/auditory acuity deficit, or NYHA Class IV. Sociodemographic and clinical data, including NYHA classes (I, II, III), were registered. Depression and anxiety were assessed using the Patient Health Questionnaire-9 and the Generalized Anxiety Disorder-7, respectively, having been considered clinically relevant when a score ≥ 10 was obtained. Predictive factors of depression were determined by logistic regression analysis. Results: From 136 HF patients, depression was present in 26%. Female gender, higher NYHA classes, and presence of anxiety were significantly associated with depression. Patients in the NYHA Class III (OR = 8.687; 95% CI: [1.769; 42.652]; p = 0.008) and with anxiety (OR = 17.19; 95% CI: [6.038; 48.934]; p < 0.001) had a higher risk of presenting clinically relevant depression than the ones in the NYHA Class I and without anxiety, respectively. Conclusions: Depression in the HF patients had a considerable rate (fitting previous studies' results), and its predictors were found to be the worst analysed NYHA class and anxiety. Consequently, preventing, monitoring, and treating depression in the management of HF patients becomes crucial. Further research is needed to better understand the association between depression and NYHA classes, towards an eventual improvement of these patients' outcomes.2021-06-302021-06-30T00:00:00Z2031-06-29T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/10216/139771TID:203178114engJoão Ricardo da Costa Monteiro Bottoinfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T14:16:21Zoai:repositorio-aberto.up.pt:10216/139771Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:57:59.638224Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Predictive Factors of Depression in Heart Failure Patients
title Predictive Factors of Depression in Heart Failure Patients
spellingShingle Predictive Factors of Depression in Heart Failure Patients
João Ricardo da Costa Monteiro Botto
Medicina clínica
Clinical medicine
title_short Predictive Factors of Depression in Heart Failure Patients
title_full Predictive Factors of Depression in Heart Failure Patients
title_fullStr Predictive Factors of Depression in Heart Failure Patients
title_full_unstemmed Predictive Factors of Depression in Heart Failure Patients
title_sort Predictive Factors of Depression in Heart Failure Patients
author João Ricardo da Costa Monteiro Botto
author_facet João Ricardo da Costa Monteiro Botto
author_role author
dc.contributor.author.fl_str_mv João Ricardo da Costa Monteiro Botto
dc.subject.por.fl_str_mv Medicina clínica
Clinical medicine
topic Medicina clínica
Clinical medicine
description Background: Depressive symptomatology in Heart Failure (HF) has gained great importance, affecting one in five patients. This comorbidity is associated with an increased risk for hospitalization and mortality. Therefore, being aware of depression associated factors is key to a better outcome for these patients. The present study aimed to analyse those associated factors, including New York Heart Association (NYHA) functional classes, while also evaluating the presence of depressive symptoms in HF outpatients. Methods: This cross-sectional study is part of a larger research project (Deus Ex-Machina/NORTE-01-0145-FEDER-00026). HF patients were recruited from an outpatient clinic at a University Hospital. Exclusion criteria were: inability to communicate, severe visual/auditory acuity deficit, or NYHA Class IV. Sociodemographic and clinical data, including NYHA classes (I, II, III), were registered. Depression and anxiety were assessed using the Patient Health Questionnaire-9 and the Generalized Anxiety Disorder-7, respectively, having been considered clinically relevant when a score ≥ 10 was obtained. Predictive factors of depression were determined by logistic regression analysis. Results: From 136 HF patients, depression was present in 26%. Female gender, higher NYHA classes, and presence of anxiety were significantly associated with depression. Patients in the NYHA Class III (OR = 8.687; 95% CI: [1.769; 42.652]; p = 0.008) and with anxiety (OR = 17.19; 95% CI: [6.038; 48.934]; p < 0.001) had a higher risk of presenting clinically relevant depression than the ones in the NYHA Class I and without anxiety, respectively. Conclusions: Depression in the HF patients had a considerable rate (fitting previous studies' results), and its predictors were found to be the worst analysed NYHA class and anxiety. Consequently, preventing, monitoring, and treating depression in the management of HF patients becomes crucial. Further research is needed to better understand the association between depression and NYHA classes, towards an eventual improvement of these patients' outcomes.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-30
2021-06-30T00:00:00Z
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