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Record W4399678303 · doi:10.1093/eurjpc/zwae175.038

Pain in my heart: chronic angina is linked to poor mental health among patients with spontaneous coronary artery dissection

2024· article· en· W4399678303 on OpenAlexaff
Heather Tulloch, Elisa Stragapede, Karen Bouchard, Laura Knight, Derek So, Jennifer L. Reed, George A. Wells, Thais Coutinho

Bibliographic record

VenueEuropean Journal of Preventive Cardiology · 2024
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Issues in Pregnancy
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineAnxietyAnginaChest painDepression (economics)Unstable anginaMyocardial infarctionInternal medicineAcute coronary syndromeCoronary artery diseasePatient Health QuestionnairePhysical therapyPopulationMental healthScadCardiologyPsychiatryDepressive symptoms

Abstract

fetched live from OpenAlex

Abstract Background Spontaneous coronary artery dissection (SCAD) is an increasingly recognized form of acute coronary syndrome that often causes myocardial infarction, particularly among women. Even after their dissection has healed, a significant portion of these patients experience ongoing chest pain. Research with patients with obstructive forms of coronary artery disease shows that chronic angina is linked to mental health symptoms such as depression and anxiety and, in turn, mortality. To our knowledge, few studies have reported on angina burden among patients with SCAD, and no studies have examined the angina-mental health connection among this unique population. Given their young age, uncertainty about prognosis and treatment, and the prevalence of emotional stressors pre-SCAD, these patients may be at higher risk for chest pain and psychological distress post-SCAD. Objective The purpose of the study was to examine the association between angina burden, depression and anxiety among patients with SCAD. Methods Patients with a diagnosed SCAD were recruited from a cardiac care hospital. Patients completed a sociodemographic questionnaire and validated measures of angina burden (Seattle Angina Questionnaire; SAQ), depression (Patient Health Questionnaire-9; PHQ-9), generalized anxiety (Generalized Anxiety Disorder-7; GAD-7), cardiac-related anxiety (Cardiac Anxiety Questionnaire; CAQ) and posttraumatic stress (PTSD Checklist; PCL-5). Descriptive analyses and bivariate correlations were conducted. Results Participants (N=97; 80% female; M age=52 years; 75% White). Overall, patients’ angina-related health status fell in the poor to good category; lower scores were noted for angina stability (i.e., angina when doing strenuous activity). On average, patients reported experiencing angina on a monthly basis. Satisfaction of angina treatment was rated fair to good (M=70.8). About 20% of participants reported clinically elevated symptoms of depression and generalized anxiety, while 14% had scores indicating a probable diagnosis of posttraumatic stress. Cardiac-related anxiety was most prevalent; 40% of participants fell in the clinical range. All SAQ subscales (physical limitation, angina stability, angina frequency, angina treatment satisfaction, and QoL) were negatively associated with depression (r=.29-.41; ps<.004), generalized anxiety (r=.29-.39; ps<.007), cardiac-related anxiety (r=.34-.61; ps<.001) and posttraumatic stress (r=.29-.46; ps<.005). Conclusions These preliminary data suggest that chronic angina is strongly linked to mental health symptoms among patients who have experienced SCAD. As depression and anxiety have been previously associated with poor clinical outcomes, interventions to assist patients to cope with chronic angina may be required to enhance mental health and, possibly, improve cardiac outcomes.

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)0.002
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 score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.007
GPT teacher head0.248
Teacher spread0.241 · 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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