Quantitative Myocardial Perfusion Predicts Outcomes in Patients With Prior Surgical Revascularization.

BACKGROUND: Patients with previous coronary artery bypass graft (CABG) surgery typically have complex coronary disease and remain at high risk of adverse events. Quantitative myocardial perfusion indices predict outcomes in native vessel disease, but their prognostic performance in patients with prior CABG is unknown. OBJECTIVES: In this study, we sought to evaluate whether global stress myocardial blood flow (MBF) and perfusion reserve (MPR) derived from perfusion mapping cardiac magnetic resonance (CMR) independently predict adverse outcomes in patients with prior CABG. METHODS: This was a retrospective analysis of consecutive patients with prior CABG referred for adenosine stress perfusion CMR. Perfusion mapping was performed in-line with automated quantification of MBF. The primary outcome was a composite of all-cause mortality and major adverse cardiovascular events defined as nonfatal myocardial infarction and unplanned revascularization. Associations were evaluated with the use of Cox proportional hazards models after adjusting for comorbidities and CMR parameters. RESULTS: A total of 341 patients (median age 67 years, 86% male) were included. Over a median follow-up of 638 days (IQR: 367-976 days), 81 patients (24%) reached the primary outcome. Both stress MBF and MPR independently predicted outcomes after adjusting for known prognostic factors (regional ischemia, infarction). The adjusted hazard ratio (HR) for 1 mL/g/min of decrease in stress MBF was 2.56 (95% CI: 1.45-4.35) and for 1 unit of decrease in MPR was 1.61 (95% CI: 1.08-2.38). CONCLUSIONS: Global stress MBF and MPR derived from perfusion CMR independently predict adverse outcomes in patients with previous CABG. This effect is independent from the presence of regional ischemia on visual assessment and the extent of previous infarction.

The impact of artificial intelligence on clinical education: perceptions of postgraduate trainee doctors in London (UK) and recommendations for trainers.

BACKGROUND: Artificial intelligence (AI) technologies are increasingly used in clinical practice. Although there is robust evidence that AI innovations can improve patient care, reduce clinicians' workload and increase efficiency, their impact on medical training and education remains unclear. METHODS: A survey of trainee doctors' perceived impact of AI technologies on clinical training and education was conducted at UK NHS postgraduate centers in London between October and December 2020. Impact assessment mirrored domains in training curricula such as 'clinical judgement', 'practical skills' and 'research and quality improvement skills'. Significance between Likert-type data was analysed using Fisher's exact test. Response variations between clinical specialities were analysed using k-modes clustering. Free-text responses were analysed by thematic analysis. RESULTS: Two hundred ten doctors responded to the survey (response rate 72%). The majority (58%) perceived an overall positive impact of AI technologies on their training and education. Respondents agreed that AI would reduce clinical workload (62%) and improve research and audit training (68%). Trainees were skeptical that it would improve clinical judgement (46% agree, p = 0.12) and practical skills training (32% agree, p < 0.01). The majority reported insufficient AI training in their current curricula (92%), and supported having more formal AI training (81%). CONCLUSIONS: Trainee doctors have an overall positive perception of AI technologies' impact on clinical training. There is optimism that it will improve 'research and quality improvement' skills and facilitate 'curriculum mapping'. There is skepticism that it may reduce educational opportunities to develop 'clinical judgement' and 'practical skills'. Medical educators should be mindful that these domains are protected as AI develops. We recommend that 'Applied AI' topics are formalized in curricula and digital technologies leveraged to deliver clinical education.

External validation of the modified HOPPE score to predict low risk pulmonary embolism suitable for early discharge.

OBJECTIVE: Recently, a novel score for risk stratification of patients with pulmonary embolism (PE)-the HOPPE score-was derived. We aimed to externally validate the HOPPE score in emergency department-diagnosed PE, using SpO2 as a surrogate for PaO2-the modified HOPPE score. METHODS: Retrospective observational study of adult patients with an emergency department diagnosis of PE was performed. Data collected included demographics, co-morbidities, clinical features, electrocardiogram and test results, in-hospital mortality and non-fatal major adverse clinical events (MACE; survived cardiac arrest, cardiogenic shock or thrombolysis administration). The primary outcome of interest was clinical performance of the modified HOPPE score for inhospital mortality and the composite outcome of in-hospital death and MACE. A secondary outcome was comparison of predictive performance between the modified HOPPE score and the simplified Pulmonary Embolism Severity Index score. RESULTS: Two hundred and six patients were studied (median age 61, 55% female). There were no deaths or MACE in patients with a low risk modified HOPPE score of 0 to 6 (0%; 95% confidence interval, 0% to 1.8%). Negative predictive value of a low risk score was 100% (95% confidence interval, 92.2% to 100%) for in-hospital mortality and for the composite of in-hospital mortality or MACE. The modified HOPPE score had similar predictive performance to the simplified Pulmonary Embolism Severity Index score with an area under the curve of 0.88 vs. 0.80 for the composite outcome of in-hospital mortality or MACE (P=0.052). Twenty-eight percent of the patients were classified as low risk and potentially suitable for management as outpatients. CONCLUSION: The modified HOPPE score showed good clinical performance. Prospective validation is warranted.

Risk classification in primary prevention of CVD according to QRISK2 and JBS3 'heart age', and prevalence of elevated high-sensitivity C reactive protein in the UK cohort of the EURIKA study.

Objectives: This study assessed cardiovascular disease (CVD) risk classification according to QRISK2, JBS3 'heart age' and the prevalence of elevated high-sensitivity C reactive protein (hsCRP) in UK primary prevention patients. Method: The European Study on Cardiovascular Prevention and Management in Usual Daily Practice (EURIKA) (NCT00882336) was a cross-sectional study conducted in 12 European countries. 673 UK outpatients aged ≥50 years, without clinical CVD but with at least one conventional CVD risk factor, were recruited. 10-year CVD risk was calculated using QRISK2. JBS3 'heart age' and hsCRP level were assessed according to risk category. Results: QRISK2 and JBS3 heart age was calculated for 285 of the 305 patients free from diabetes mellitus and not receiving a statin. QRISK2 classified 28%, 39% and 33% of patients as low (<10%), intermediate (10% to <20%) and high (≥20%) risk, respectively. Two-thirds of low-risk patients and half of intermediate-risk patients had a heart age ≥5 years and ≥10 years higher than their chronological age, respectively. Half of low-risk patients had hsCRP levels ≥2 mg/L and approximately 40% had levels ≥3 mg/L. Approximately 80% of low-risk patients had both elevated hsCRP and heart age relative to their chronological age. Conclusions: Almost 40% more patients in this 'at risk' group would be eligible for statin therapy following the lowering of the National Institute for Health and Care Excellence treatment threshold to ≥10% 10-year risk. Of patients falling below this treatment threshold, almost all were at increased lifetime risk as measured by JBS3, and of these, the majority had elevated hsCRP levels. These patients with high absolute risk may benefit from early primary CVD prevention.