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Aims: To investigate whether the PROMISE Minimal Risk Score (PMRS) enables adjustment of the risk factor-weighted clinical likelihood of obstructive CAD.
Methods And Results: Two cohorts of stable patients with new-onset chest pain were established: a diagnosis cohort (n = 4,298) and a prognosis cohort (n = 14,013). Patients were stratified by the risk factor-weighted clinical likelihood model, and patients with low (>5 to 15%) clinical likelihood were further stratified by the PMRS using a ≥ 34% cut-off. For the diagnosis cohort, obstructive CAD was defined invasively by fractional flow reserve ≤0.80. For the prognosis cohort, the primary endpoint was non-fatal myocardial infarction or all-cause death.In the diagnosis cohort, 1,669 (39%) patients had low (>5 to ≤15%) clinical likelihood, of whom 301/1,669 (18%) patients had a PMRS ≥34%. In these patients, the prevalence of obstructive CAD was 14/301 (4.7%), similar to patients with very-low (≤5%) clinical likelihood [64/1,667 (3.8%), p = 0.21]. In the prognosis cohort, 6,187 (44%) patients had low (>5 to ≤15%) clinical likelihood, of whom 993/6,187 (16%) patients had a PMRS ≥34%. In these patients, event rates were similar to patients with very-low (≤5%) clinical likelihood [hazard ratio, 0.91 (95% confidence interval, 0.52-1.52), p = 0.77]. Compared to patients with low (>5 to ≤15%) clinical likelihood and a PMRS <34%, the prevalence of obstructive CAD and risk were lower in patients with low (>5 to ≤15%) clinical likelihood and a PMRS ≥34% (p < 0.01 for both comparisons).
Conclusion: In patients with low (>5 to ≤15%) clinical likelihood of obstructive CAD, the PMRS enables safe down-classification of 1 in 6 patients to a very-low (≤5%) clinical likelihood category.
Clinical Trial Registration: Clinicaltrials.gov identifiers: NCT02264717, NCT03481712, NCT04707859, NCT01174550 and NCT01149590.
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http://dx.doi.org/10.1093/ehjci/jeaf193 | DOI Listing |
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Unit of Psychiatry, Department of Public Health and Medicinal Administration, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Taipa, MO, China.
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Liver Transplantation Research Center, Tehran University of Medical Sciences, Tehran, Iran.
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Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Accelerated failure time (AFT) models offer an attractive alternative to Cox proportional hazards models. AFT models are collapsible and, unlike hazard ratios in proportional hazards models, the acceleration factor-a key effect measure in AFT models-is collapsible, meaning its value remains unchanged when adjusting for additional covariates. In addition, AFT models provide an intuitive interpretation directly on the survival time scale.
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Department of Nursing Administration, Faculty of Nursing, Alexandria University, Alexandria, Egypt.
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