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Record W4298142912 · doi:10.47144/phj.v55i3.2377

CORONARY ARTERY DISEASE AND DEPRESSION: A MISSING PILLAR IN MANAGEMENT

2022· article· en· W4298142912 on OpenAlexaboutno aff
Tariq Ashraf, Muhammad Ishaq

Bibliographic record

VenuePakistan Heart Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCoronary artery diseaseDepression (economics)Myocardial infarctionDyslipidemiaInternal medicinePopulationCardiologyDiabetes mellitusDiseasePhysical therapy

Abstract

fetched live from OpenAlex

Patients with coronary artery disease have multiple co-morbids that include dyslipidemia, hypertension, diabetes mellitus, smoking and physical inactivity. It has been seen that depression is another issue in these patients that need close attention. Studies have shown that it affects between 20% and 40% in patients with coronary artery disease (CAD) and have a higher prevalence than in general population.1 One of the study done by SS Bokhari et al.2 has shown a point prevalence of depression in CAD as 37% (31.3% males and 53.8% females).
 Numerous studies have shown that patients with CAD and depression have poor health outcomes.3 Depression in different aspects in Pakistani population after myocardial infarction,4 after PCI5 and in in-hospital patients with CAD6 were evaluated and found to have significant mental illness which co-relates with the results of other international studies.
 Keeping all the research studies American Heart Association wrote a scientific statement and endorsed depression as a risk factor for cardiac morbidity and mortality.7 Importance of depression screening as a part of myocardial infarction protocol for caring patients with Ischemic Heart Disease was seen in TRIUMPH trial (Translational Research Investigating Underlying Disparities in Acute Myocordial Infarction Patients Health Status)8 ENRICHD Trial (Enhancing Recovery in Coronary Heart Disease)9 use of citalopram or serlatine plus as clinical management was used for depressive symptoms with CAD in CREATE Trial (Canadian Cardiac Randomized Evaluation of Antidepressant and Psychotherapy Efficacy).10
 In Pakistan where prevalent of CAD is high i.e. one in 4 middle age adults,11 managing such patients are numerous that includes revascularization (Surgical and Interventional), drugs and treatment of modifiable and nonmodifiable risk factors. Despite all these efforts it’s a need of time to focus on diagnosing depression in CAD to improve outcomes. Depression screening should be conducted to identify these important risk factors and treated with drugs in reducing morbidity and mortality.
 References
 
 Lett HS, Blumenthal JA, Babyak MA, Sherwood A, Strauman T, Robins C, et al. Depression as a risk factor for coronary artery disease: evidence, mechanisms, and treatment. Psychosom Med. 2004;66:305-15.
 Bokhari SS, Samad AH, Hanif S, Hadique S, Cheema MQ, Fazal MAS, et al. Prevalence of depression in patients with coronary artery disease in a tertiary care hospital in Pakistan. J Pak Med Assoc. 2002;52(9):436-9.
 Jackson CA, Sudlow CLM, Mishra GD. Psychological Distress and Risk of Myocardial Infarction and Stroke in the 45 and Up Study. Circ Cardiovasc Qual Outcomes. 2018;11:e004500.
 Saeed H, Khan F, Mohsin SF, Qizilbash FH, Fraz TR, Jawed Q, et al. Pattern of Depression Among Patients of Myocardial Infarction in Karachi, Pakistan: A Cross-sectional Study. Cureus. 2018;10(8):e3199
 Mujtaba SF, Sial JA, Karim M. Depression and Anxiety in patients undergoing Percutaneous Coronary Intervention for Acute Coronary Syndrome. Pak J Med Sci. 2020;36(5):1100-5.
 Khan SA, Azhar S, Asad SM, Iqbal A, Kousar R, Ahmad M, et al. Assessment of anxiety and depression in hospitalized cardiac patients of Faisalabad Institute of Cardiology, Pakistan. Trop J Pharm Res. 2016;15(11):2483-7
 Lichtman JH, Froelicher ES, Blumenthal JA, Carney RM, Doering LV, Frasure-Smith N, et al. Depression as a risk factor for poor prognosis among patients with acute coronary syndrome: systematic review and recommendations: a scientific statement from the American Heart Association. Circulation 2014;129:1350-69.
 Smolderen KG, Buchanan DM, Gosch K, Whooley M, Chan PS, Vaccarino V, et al. Depression Treatment and 1-Year Mortality Following Acute Myocardial Infarction: Insights from the TRIUMPH Registry. Circulation 2017;135:1681-9.
 Berkman LF, Blumenthal J, Burg M, Carney RM, Catellier D, Cowan MJ, et al. Effects of treating depression and low perceived social support on clinical events after myocardial infarction: the Enhancing Recovery in Coronary Heart Disease Patients (ENRICHD) Randomized Trial. JAMA 2003;289:3106-16.
 Lespérance F, Frasure-Smith N, Koszycki D, Laliberté MA, van Zyl LT, Baker B, et al. Effects of citalopram and interpersonal psychotherapy on depression in patients with coronary artery disease: the Canadian Cardiac Randomized Evaluation of Antidepressant and Psychotherapy Efficacy (CREATE) trial. JAMA 2007;297:367-79.
 Jafar TH, Jafary FH, Jessani S, Chaturvedi N. Heart disease epidemic in Pakistan: women and men at equal risk. Am Heart J. 2005;150(2):221-6.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.063
Threshold uncertainty score0.338

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.351
Teacher spread0.327 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations5
Published2022
Admission routes1
Has abstractyes

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