Time-dependent cognitive and somatic symptoms of depression as predictors of new cardiac-related events in at-risk patients: the UPBEAT-UK cohort.

Cardiac disease cardiac-related mortality recurrent cardiac event somatic and cognitive symptoms of depression time-dependent risk factors

Journal

Psychological medicine
ISSN: 1469-8978
Titre abrégé: Psychol Med
Pays: England
ID NLM: 1254142

Informations de publication

Date de publication:
06 2021
Historique:
pubmed: 31 1 2020
medline: 25 11 2022
entrez: 31 1 2020
Statut: ppublish

Résumé

Evidence suggests that somatic rather than cognitive depressive symptoms are risk factors for recurrent cardiac events in at-risk patients. However, this has never been explored using a time-dependent approach in a narrow time-frame, allowing a cardiac event-free time-window. The analysis was performed on 595 participants [70.6% male, median age 72 (27-98)] drawn from the UPBEAT-UK heart disease patient cohort with 6-monthly follow-ups over 3 years. Depressive symptomatology was measured using the Patient Health Questionnaire-9 (PHQ-9) (four somatic, five cognitive items). New cardiac events (NCEs) including cardiac-related mortality were identified by expert examination of patient records. Analyses were performed using Cox proportional hazard models with delayed entry, with time-dependent depressive dimensions and covariates measured 12-18 months (median: 14.1, IQR: 3.5) prior to the event, with a 12-month cardiac event-free gap. There were 95 NCEs during the follow-up [median time-to-event from baseline: 22.3 months (IQR: 13.4)]. Both the somatic (HR 1.12, 95% CI 1.05-1.20, This is the first study of the association between depressive symptom dimensions and NCEs in at-risk patients using a time-to-event standardised approach. Both dimensions considered apart were independent predictors of an NCE, along with specific items, suggesting regular assessments and tailored interventions targeting specific depressive symptoms may help to prevent NCEs in at-risk populations.

Sections du résumé

BACKGROUND
Evidence suggests that somatic rather than cognitive depressive symptoms are risk factors for recurrent cardiac events in at-risk patients. However, this has never been explored using a time-dependent approach in a narrow time-frame, allowing a cardiac event-free time-window.
METHODS
The analysis was performed on 595 participants [70.6% male, median age 72 (27-98)] drawn from the UPBEAT-UK heart disease patient cohort with 6-monthly follow-ups over 3 years. Depressive symptomatology was measured using the Patient Health Questionnaire-9 (PHQ-9) (four somatic, five cognitive items). New cardiac events (NCEs) including cardiac-related mortality were identified by expert examination of patient records. Analyses were performed using Cox proportional hazard models with delayed entry, with time-dependent depressive dimensions and covariates measured 12-18 months (median: 14.1, IQR: 3.5) prior to the event, with a 12-month cardiac event-free gap.
RESULTS
There were 95 NCEs during the follow-up [median time-to-event from baseline: 22.3 months (IQR: 13.4)]. Both the somatic (HR 1.12, 95% CI 1.05-1.20,
CONCLUSION
This is the first study of the association between depressive symptom dimensions and NCEs in at-risk patients using a time-to-event standardised approach. Both dimensions considered apart were independent predictors of an NCE, along with specific items, suggesting regular assessments and tailored interventions targeting specific depressive symptoms may help to prevent NCEs in at-risk populations.

Identifiants

pubmed: 31996279
doi: 10.1017/S0033291719004082
pii: S0033291719004082
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1271-1278

Subventions

Organisme : Department of Health
ID : RP-PG-0606-1048
Pays : United Kingdom

Auteurs

J Norton (J)

Inserm U1061, Montpellier, France.
University of Montpellier, Montpellier, France.

M Pastore (M)

University of Montpellier, Montpellier, France.
StatABio, CNRS, INSERM, Montpellier, France.

M Ancelin (M)

Inserm U1061, Montpellier, France.
University of Montpellier, Montpellier, France.

M Hotopf (M)

Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
South London and Maudsley NHS Foundation Trust, London, UK.

A Tylee (A)

Department of Health Services and Population Science, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

A Mann (A)

Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

J Palacios (J)

Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

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Classifications MeSH