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- Attia, Zachi I., et al.
(author)
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Rapid Exclusion of COVID Infection With the Artificial Intelligence Electrocardiogram
- 2021
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In: Mayo Clinic proceedings. - : ELSEVIER SCIENCE INC. - 0025-6196 .- 1942-5546. ; 96:8, s. 2081-2094
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Journal article (peer-reviewed)abstract
- Objective: To rapidly exclude severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection using artificial intelligence applied to the electrocardiogram (ECG). Methods: A global, volunteer consortium from 4 continents identified patients with ECGs obtained around the time of polymerase chain reaction-confirmed COVID-19 diagnosis and age- and sex-matched controls from the same sites. Clinical characteristics, polymerase chain reaction results, and raw electrocardiographic data were collected. A convolutional neural network was trained using 26,153 ECGs (33.2% COVID positive), validated with 3826 ECGs (33.3% positive), and tested on 7870 ECGs not included in other sets (32.7% positive). Performance under different prevalence values was tested by adding control ECGs from a single high-volume site. Results: The area under the curve for detection of acute COVID-19 infection in the test group was 0.767 (95% CI, 0.756 to 0.778; sensitivity, 98%; specificity, 10%; positive predictive value, 37%; negative predictive value, 91%). To more accurately reflect a real-world population, 50,905 normal controls were added to adjust the COVID prevalence to approximately 5% (2657/58,555), resulting in an area under the curve of 0.780 (95% CI, 0.771 to 0.790) with a specificity of 12.1% and a negative predictive value of 99.2%. Conclusion: Infection with SARS-CoV-2 results in electrocardiographic changes that permit the artificial intelligence-enhanced ECG to be used as a rapid screening test with a high negative predictive value (99.2%). This may permit the development of electrocardiography-based tools to rapidly screen individuals for pandemic control. (C) 2021 Mayo Foundation Medical Education and Research
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| 2. |
- Gaudino, Mario, et al.
(author)
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Coronary artery bypass grafting versus medical therapy in patients with stable coronary artery disease: An individual patient data pooled meta-analysis of randomized trials.
- 2024
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In: The Journal of thoracic and cardiovascular surgery. - : Elsevier BV. - 1097-685X .- 0022-5223. ; 167:3
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Journal article (peer-reviewed)abstract
- It is unclear whether coronary artery bypass grafting (CABG) improves survival compared with medical therapy (MT) in patients with stable coronary artery disease (CAD). The aim of this analysis was to perform an individual-patient data-pooled meta-analysis of contemporary randomized controlled trials that compared CABG and MT in patients with stable CAD.A systematic search was performed in January 2021 to identify randomized controlled trials enrolling adult patients with stable CAD, randomized to CABG or MT. Only trials using at least aspirin, beta-blockers, and statins in the MT arm were included. Individual patient data were obtained from all eligible studies and pooled. The primary outcome was all-cause mortality.Four trials involving 2523 patients (1261 CABG; 1262MT) were included with a median follow-up of 5.6 (4.0-9.2) years. CABG was associated with increased risk of all-cause mortality within 30days (hazard ratio [HR], 4.81; 95% confidence interval [CI], 1.95-11.83) but subsequent reduction in the long-term risk of death (HR, 0.79; 95% CI, 0.69-0.89). As such, the cumulative 10-year mortality rate was lower in patients treated with CABG compared with MT (45.1% vs 51.7%, respectively; odds ratio, 0.70; 95% CI, 0.58-0.85). Age and race were significant treatment effect modifier (interaction P=.003 for both).In patients with stable CAD, initial allocation to CABG was associated with greater periprocedural risk of death but improved long-term survival compared with MT. The survival advantage for CABG became significant after the fourth postoperative year and was particularly pronounced in younger and non-White patients.
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| 3. |
- Gaudino, Mario, et al.
(author)
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European Association of Cardio-Thoracic Surgery (EACTS) expert consensus statement on perioperative myocardial infarction after cardiac surgery.
- 2024
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In: European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery. - 1873-734X. ; 65:2
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Journal article (peer-reviewed)abstract
- Cardiac surgery may lead to myocardial damage and release of cardiac biomarkers through various mechanisms such as cardiac manipulation, systemic inflammation, myocardial hypoxia, cardioplegic arrest and ischaemia caused by coronary or graft occlusion. Defining perioperative myocardial infarction (PMI) after cardiac surgery presents challenges, and the association between the current PMI definitions and postoperative outcomes remains uncertain. To address these challenges, the European Association of Cardio-Thoracic Surgery (EACTS) facilitated collaboration among a multidisciplinary group to evaluate the existing evidence on the mechanisms, diagnosis and prognostic implications of PMI after cardiac surgery. The review found that the postoperative troponin value thresholds associated with an increased risk of mortality are markedly higher than those proposed by all the current definitions of PMI. Additionally, it was found that large postoperative increases in cardiac biomarkers are prognostically relevant even in absence of additional supportive signs of ischaemia. A new algorithm for PMI detection after cardiac surgery was also proposed, and a consensus was reached within the group that establishing a prognostically relevant definition of PMI is critically needed in the cardiovascular field and that PMI should be included in the primary composite outcome of coronary intervention trials.
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