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Record W2004702938 · doi:10.1097/psy.0b013e3181c2d6b8

Association Between Clinical Depression and Endothelial Function Measured by Forearm Hyperemic Reactivity

2009· article· en· W2004702938 on OpenAlexafffund
Kim Lavoie, Roxanne Pelletier, André Arsenault, Jocelyn Dupuis, Simon Bacon

Bibliographic record

VenuePsychosomatic Medicine · 2009
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsUniversité du Québec à Montréal
FundersCanadian Institutes of Health Research
KeywordsDepression (economics)MedicineInternal medicineCardiologyMajor depressive disorderCoronary artery diseaseBrachial arteryCerebral blood flowForearmRisk factorLate life depressionBlood pressureSurgery

Abstract

fetched live from OpenAlex

Objective: To assess associations between clinically significant depression (major depressive disorder [MDD] and minor depressive disorder [MiDD]) and endothelial function (EF), via forearm hyperemic reactivity (FHR), in patients referred for myocardial perfusion imaging. Studies have linked MDD to impaired EF, an early marker of coronary heart disease (CHD) and risk factor for cardiac events, in healthy, noncardiac patients, although no studies have assessed the MDD-EF association in patients with or at risk for CHD. Methods: Depression was assessed, using the Primary Care Evaluation of Mental Disorders structured interview in 323 patients (n = 242 men; mean age = 59 years) with or at risk for CHD. FHR was assessed, using a dynamic nuclear imaging technique that measures the dilatory capability of the brachial artery during hyperemic challenge. The relative uptake ratio (RUR) of blood flow between hyperemic and nonhyperemic arms was used to measure FHR. Results: Patients with MDD and MiDD had lower RURs (mean values = 3.31 and 3.34, respectively), indicating poorer EF than patients without depression (mean = 4.27) (F = 5.19, p < .01), irrespective of CHD status. All results were adjusted for covariates including sociodemographic, medical, biochemical, and physiological variables. Conclusions: Patients with clinical levels of depression had worse FHR than patients without depression, irrespective of CHD status and after adjusting for covariates. Data extend previous findings, suggesting that the link between clinical depression and worse CHD outcomes may be mediated by EF. BDI = Beck Depression Inventory; CHD = coronary heart disease; CRP = C-reactive protein; DSM = Diagnostic and Statistical Manual; EF = endothelial function; FHR = forearm hyperemic reactivity; FMD = flow-mediated dilatation; HPA = hypothalamic-pituitary-adrenal; MDD = major depressive disorder; MiDD = minor depressive disorder; MI = myocardial infarction; NO = nitric oxide; PRIME-MD = Primary Care Evaluation of Mental Disorders; RUR = relative uptake ratio; SCID = Structured Clinical Interview for DSM; SPECT = single photon emission computed tomography.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
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)0.0010.000

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 head0.048
GPT teacher head0.389
Teacher spread0.341 · 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 source (direct Gemma or distilled Codex), 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".

Quick stats

Citations71
Published2009
Admission routes2
Has abstractyes

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