Major depressive disorder in chronic heart failure patients: Does silent cerebral infarction cause major depressive disorder in this patient population?

2015 ◽  
Author(s):  
Guliz Kozdag
Keyword(s):  
Heart Failure ◽  
Major Depressive Disorder ◽  
Chronic Heart Failure ◽  
Depressive Disorder ◽  
Cerebral Infarction ◽  
Patient Population ◽  
Major Depressive ◽  
Heart Failure Patients ◽  
Silent Cerebral Infarction

scholarly journals Inflammation Markers and Major Depressive Disorder in Patients With Chronic Heart Failure

2015 ◽  
Vol 77 (7) ◽  
pp. 808-815 ◽  
Author(s):  
Glen L. Xiong ◽  
Kevin Prybol ◽  
Stephen H. Boyle ◽  
Russell Hall ◽  
Robert D. Streilein ◽  
...  
Keyword(s):  
Heart Failure ◽  
Major Depressive Disorder ◽  
Chronic Heart Failure ◽  
Depressive Disorder ◽  
Inflammation Markers ◽  
Major Depressive

Major Depressive Disorder and Inflammatory Markers in Elderly Patients With Heart Failure

2007 ◽  
Vol 48 (4) ◽  
pp. 319-324 ◽  
Author(s):  
Anna Maria Andrei ◽  
Renerio Fraguas ◽  
Renata M.S. Telles ◽  
Tânia C.T.F. Alves ◽  
Celia M.C. Strunz ◽  
...  
Keyword(s):  
Heart Failure ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Elderly Patients ◽  
Inflammatory Markers ◽  
Major Depressive ◽  
Patients With Heart Failure

scholarly journals Defining Major Depressive Disorder Cohorts Using the EHR: Multiple Phenotypes Based on ICD-9 Codes and Medication Orders

2017 ◽  
Author(s):  
Wendy Marie Ingram ◽  
Anna M. Baker ◽  
Christopher R. Bauer ◽  
Jason P. Brown ◽  
Fernando S. Goes ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Health System ◽  
Patient Population ◽  
Convergent Validity ◽  
External Validation ◽  
Mental Illnesses ◽  
Risk Scores ◽  
Major Depressive ◽  
Integrated Health

ABSTRACTBackgroundMajor Depressive Disorder (MDD) is one of the most common mental illnesses and a leading cause of disability worldwide. Electronic Health Records (EHR) allow researchers to conduct unprecedented large-scale observational studies investigating MDD, its disease development and its interaction with other health outcomes. While there exist methods to classify patients as clear cases or controls, given specific data requirements, there are presently no simple, generalizable, and validated methods to classify an entire patient population into varying groups of depression likelihood and severity.MethodsWe have tested a simple, pragmatic electronic phenotype algorithm that classifies patients into one of five mutually exclusive, ordinal groups, varying in depression phenotype. Using data from an integrated health system on 278,026 patients from a 10-year study period we have tested the convergent validity of these constructs using measures of external validation, including patterns of psychiatric prescriptions, symptom severity, indicators of suicidality, comorbidity, mortality, health care utilization, and polygenic risk scores for MDD.ResultsWe found consistent patterns of increasing morbidity and/or adverse outcomes across the five groups, providing evidence for convergent validity.LimitationsThe study population is from a single rural integrated health system which is predominantly white, possibly limiting its generalizability.ConclusionOur study provides initial evidence that a simple algorithm, generalizable to most EHR data sets, provides categories with meaningful face and convergent validity that can be used for stratification of an entire patient population.

Prevalence and Correlates of Major Depressive Disorder in Nigerian Outpatients With Heart Failure

2006 ◽  
Vol 47 (6) ◽  
pp. 479-485 ◽  
Author(s):  
Abiodun O. Adewuya ◽  
Bola A. Ola ◽  
Olufemi E. Ajayi ◽  
Adebayo O. Oyedeji ◽  
Michael O. Balogun ◽  
...  
Keyword(s):  
Heart Failure ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Major Depressive

scholarly journals Depression and one-year survival of patients with heart failure in China: analysis from the China-PEACE Prospective Heart Failure study

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
M Gao ◽  
F Xing ◽  
D Hu ◽  
X Huang ◽  
S Hu ◽  
...  
Keyword(s):  
Heart Failure ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Hospitalized Patients ◽  
Public Institution ◽  
Funding Source ◽  
Minor Depression ◽  
Major Depressive ◽  
Patients With Heart Failure ◽  
All Cause Mortality

Abstract Background Depression is prevalent among patients with heart failure (HF), but data exploring association of depression with risk of death in patients with HF is scarce in China. We investigated the relationship between depression and all-cause mortality of heart failure in China. Methods In China PEACE 5p-HF Study, we prospectively enrolled patients primarily hospitalized with HF from 52 diverse hospitals throughout China during 2016–2018. All the patients were followed up for 1 year. About 10% patients in the cohort from 41 hospitals was included for the measurement of depression state at convenience. Depression was measured by the Patient Health Questionnaire-8 depression scale (PHQ-8) at baseline. Depression state was categorized into major depressive disorder (10–24 points), minor depression (5–10 points) and no depression (0–5 points). Cox proportional hazards regression analyses, controlling for established risk factors as age, gender, LVEF, NYHA, medication use and medical history, were used to evaluate how depression were related to end point of death from any cause. Results Total 584 patients were included in our analysis, with median age 69 (IQR 60–77) years, and 40.8% female. Among these patients, 36.0% had major depressive disorder (n=210), 33.9% had minor depression (n=198). There were 70 (12%) patients died within 1 year after discharge. Major depressive disorder was associated with higher all-cause mortality compared with no depression (hazard ratio=2.18, 95% confidence interval 1.36–3.50, p=0.001). While minor depression was not significantly associated with all-cause mortality. Conclusions Major depression is an independent risk factor for all-cause mortality in hospitalized patients with HF in China. It is necessary to screen for psychological health in hospitalized patients to targeting intervention. Funding Acknowledgement Type of funding source: Public Institution(s). Main funding source(s): National Key Research and Development Program from the Ministry of Science and Technology of China

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