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Abstract Aims Diagnosing myocardial infarction (MI) in patients with chronic kidney disease (CKD) is difficult as they often have increased high-sensitivity cardiac troponin T (hs-cTnT) concentrations. Methods and results Observational US cohort study of emergency department patients undergoing hs-cTnT measurement. Cases with ≥1 hs-cTnT increase > 99th percentile were adjudicated following the Fourth Universal Definition of MI. Diagnostic performance of baseline and serial 2 h hs-cTnT thresholds for ruling-in acute MI was compared between those without and with CKD (estimated glomerular filtration rate < 60 mL/min/1.73 m2). The study cohort included 1992 patients, amongst whom 501 (25%) had CKD. There were 75 (15%) and 350 (70%) patients with CKD and 80 (5%) and 351 (24%) without CKD who had acute MI and myocardial injury. In CKD patients with baseline hs-cTnT thresholds of ≥52, >100, >200, or >300 ng/L, positive predictive values (PPVs) for MI were 36% (95% CI 28–45), 53% (95% CI 39–67), 73% (95% CI 50–89), and 80% (95% CI 44–98), and in those without CKD, 61% (95% CI 47–73), 69% (95% CI 49–85), 59% (95% CI 33–82), and 54% (95% CI 25–81). In CKD patients with a 2 h hs-cTnT delta of ≥10, >20, or >30 ng/L, PPVs were 66% (95% CI 51–79), 86% (95% CI 68–96), and 88% (95% CI 68–97), and in those without CKD, 64% (95% CI 50–76), 73% (95% CI 57–86), and 75% (95% CI 58–88). Conclusion Diagnostic performance of standard baseline and serial 2 h hs-cTnT thresholds to rule-in MI is suboptimal in CKD patients. It significantly improves when using higher baseline thresholds and delta values.

Abstract Background There are no robust data addressing the United States (US) experience with the 0/2 hours (h) European Society of Cardiology (ESC) algorithm using high-sensitivity cardiac troponin T (hs-cTnT). Purpose To evaluate the diagnostic performance of the 0/2h ESC-recommended absolute deltas in a US population. Methods Observational US cohort study of ED patients undergoing 0 and 2 h hs-cTnT measurements. The 99th percentiles upper reference limits (URL) used were 10 ng/L for women and 15 ng/L for men. Diagnostic outcomes were the adjudicated diagnoses of acute myocardial infarction (MI, type 1 or 2). Results A total of 1084 patients met inclusion criteria, amongst which 49% were women. Chest discomfort was reported in 521 (48%) patients. Among patients with a baseline hs-cTnT≤99th URL (n=434), 4 MIs occurred. To rule-out MI, an absolute 0-2h delta change <4 ng/L resulted in a sensitivity of 100% (95% CI: 39.8, 100) and a negative predictive value (NPV) of 100% (95% CI: 99.1, 100). To rule-in MI, an absolute 0-2h delta ≥10 ng/L had a specificity of 99.8 % (95% CI: 98.7, 99.9) and positive predictive value (PPV) of 75% (95% CI: 19.4, 99.4). Among patients with a baseline hs-cTnT >99th URL (n=650), 110 MIs occurred. In these patients, both rule-out (sensitivity 65%, NPV 91%) and rule-in (specificity 7.2%, PPV 11%) were poor using the ESC-recommended absolute deltas. Among patients with modest hs-cTnT increases (99th URL to 100 ng/L) neither the ESC-recommended absolute nor the Fourth Universal Definition of MI (UDMI)-recommended relative deltas provided acceptable performance. Among patients with marked hs-cTnT increases at presentation (>100 ng/L), a relative delta change >20% as recommended by the UDMI resulted in a superior rule-in performance, with a specificity of 92.0% (95% CI 74.0, 99.0) and PPV of 84.6% (57.4, 95.7). Conclusions In our unselected US-cohort of patients undergoing hs-cTnT, the 0/2h ESC algorithm had a good diagnostic performance in patients without myocardial injury at presentation. Conversely, in patients with myocardial injury at baseline, the ESC-recommended absolute deltas performed poorly to determine who had MI. In patients with marked hs-cTnT increases >100 ng/L at presentation, the UDMI recommended 20% relative change showed good rule-in performance.

Background: The 2021 ACC/AHA chest pain guidelines recommend risk scores such as HEAR (History, Electrocardiogram, Age, Risk Factors) for short term risk-stratification yet limited data exists integrating them with high-sensitivity cardiac troponin T (hs-cTnT). Methods: Retrospective, multicenter (n=2), observational, U.S. cohort study of consecutive ED patients without ST-elevation myocardial infarction (MI) who had at least one hs-cTnT (limit of quantitation, LoQ, <6 ng/L, and sex-specific 99 th percentiles of 10 ng/L for women and 15 ng/L for men) measurement on clinical indication in whom HEAR scores (0-8) were calculated. The composite major adverse cardiovascular (MACE) outcome was 30-day MI and death. Results: Among 1,979 ED patients undergoing hs-cTnT measurement, 1045 (53%) were classified as low-risk (0-3), 914 (46%) as intermediate-risk (4-6), and 20 (1%) as high-risk (7-8) based on HEAR scores. HEAR scores were not associated with an increased risk of 30-day MACE after adjusted analyses. Outcomes according to risk-strata based on HEAR scores and baseline hs-cTnT are shown in Table 1. Patients with quantifiable hs-cTnT (LoQ-99 th ) had an increased risk for 30-day MACE (3.4%) despite being estimated to be low-risk (0-3) per HEAR scores. Conversely, those with serial hs-cTnT<99 th percentile remained at low-risk (range 0% to 1.2%) for 30-day MACE across HEAR score strata. Conclusions: HEAR scores are of limited value in those with baseline hs-cTnT<LoQ or hs-cTnT>99 th percentile where hs-cTnT identifies very low and high-risk patients irrespective of HEAR scores. In those with baseline quantifiable hs-cTnT within the reference range (<99 th percentile), a higher risk (>1%) for 30-day MACE exists even in those with low HEAR scores. With serial hs-cTnT measurements, HEAR scores overestimate risk when hs-cTnT remains <99 th percentile.

Introduction: Differentiating type 2 myocardial infarction (T2MI) from myocardial injury can be difficult. The presence of objective evidence of acute myocardial ischemia may facilitate the identification of high-risk T2MI patients. Methods: Retrospective, observational cohort post-hoc analysis of adult emergency department patients undergoing hs-cTnT measurement. Patients with ≥1 hs-cTnT>99th percentile were adjudicated following the Fourth Universal Definition of MI. Patients were categorized as “subjective T2MI” when ischemic symptoms were the lone criteria supporting T2MI, or “objective T2MI” when there was ≥1 objective clinical feature (electrocardiography, imaging, angiography) of acute myocardial ischemia. The primary outcome was mortality. Results: A total of 857 patients were included, amongst which 55 (6.4%) were classified as subjective T2MI, 36 (4.2%) as objective T2MI, and 702 (82%) as myocardial injury. Among objective T2MIs, the most common criteria were ischemic electrocardiographic changes (n=29). Median (IQR) maximum hs-cTnT were 24 (18, 43) ng/L in myocardial injury, 34 (19, 80) in subjective T2MI, and 74 (35, 237) in objective T2MI. Those with objective T2MI had a higher risk of mortality during the index presentation (17% vs. 1.7%, p<0.0001; HR 11.1 95% CI 3.7-33.4) and at 2-year follow-up (47% vs. 31%, p=0.04; HR 1.92, 95% CI 1.17-3.14) than those with myocardial injury (Figure). Objective T2MI had a higher mortality than subjective T2MI at index presentation (17% vs. 2.0%, p=0.01) and at 1- (25% vs. 9.1%, p=0.04) and 3-months (31% vs. 13%, p=0.04) follow-up. There were no mortality differences between subjective T2MI and myocardial injury. Conclusions: In patients diagnosed with T2MI, those with objective evidence of myocardial ischemia have significantly worse outcomes compared to those with myocardial injury and subjective T2MI. A more rigorous definition of T2MI might be a more effective way to define this important entity.

Abstract Aims Our goal was to evaluate a previously validated artificial intelligence–augmented electrocardiography (AI-ECG) screening tool for left ventricular systolic dysfunction (LVSD) in patients undergoing high-sensitivity-cardiac troponin T (hs-cTnT). Methods and results Retrospective application of AI-ECG for LVSD in emergency department (ED) patients undergoing hs-cTnT. AI-ECG scores (0–1) for probability of LVSD (left ventricular ejection fraction ≤ 35%) were obtained. An AI-ECG score ≥0.256 indicates a positive screen. The primary endpoint was a composite of post-discharge major adverse cardiovascular events (MACEs) at two years follow-up. Among 1977 patients, 248 (13%) had a positive AI-ECG. When compared with patients with a negative AI-ECG, those with a positive AI-ECG had a higher risk for MACE [48 vs. 21%, P &lt; 0.0001, adjusted hazard ratio (HR) 1.39, 95% confidence interval (CI) 1.11–1.75]. This was largely because of a higher rate of deaths (32 vs. 14%, P &lt; 0.0001; adjusted HR 1.26, 95% 0.95–1.66) and heart failure hospitalizations (26 vs. 6.1%, P &lt; 0.001; adjusted HR 1.75, 95% CI 1.25–2.45). Together, hs-cTnT and AI-ECG resulted in the following MACE rates and adjusted HRs: hs-cTnT &lt; 99th percentile and negative AI-ECG: 116/1176 (11%; reference), hs-cTnT &lt; 99th percentile and positive AI-ECG: 28/107 (26%; adjusted HR 1.54, 95% CI 1.01–2.36), hs-cTnT &gt; 99th percentile and negative AI-ECG: 233/553 (42%; adjusted HR 2.12, 95% CI 1.66, 2.70), and hs-cTnT &gt; 99th percentile and positive AI-ECG: 91/141 (65%; adjusted HR 2.83, 95% CI 2.06, 3.87). Conclusion Among ED patients evaluated with hs-cTnT, a positive AI-ECG for LVSD identifies patients at high risk for MACE. The conjoint use of hs-cTnT and AI-ECG facilitates risk stratification.

Abstract Background Artificial intelligence-augmented electrocardiogram (AI-ECG) algorithms have been developed from the standard 12-lead ECG and validated for the recognition of left ventricular systolic dysfunction (LVSD), defined as LV ejection fraction (LVEF)≤35%. Whether AI-ECG facilitates identification of LVSD and is associated with adverse outcomes in emergency department (ED) patients undergoing high-sensitivity cardiac troponin (hs-cTnT) testing is uncertain. Purpose To investigate the diagnostic and prognostic performance of AI-ECG in ED patients undergoing hs-cTnT measurement. Methods Observational US cohort study of ED patients undergoing hs-cTnT measurement. Cases with hs-cTnT increases &gt;sex-specific 99th percentiles were adjudicated following the Fourth Universal Definition of Myocardial Infarction (MI). Post-discharge major adverse cardiac events (MACE) included death, MI, heart failure (HF) hospitalization, stroke or transient ischemic attack, and new onset atrial fibrillation/flutter during 2-years follow-up. The AI-ECG network output, which is a continuous number between 0–1, that provides a probability of LVSD, was obtained for each patient from the first ECG during the index presentation. An AI-ECG threshold of ≥0.256 indicates a positive screen that correlates with a high probability of LVSD. Results Among 1977 patients, 1729 (87%) had a negative AI-ECG screen, while 248 (13%) had a positive AI-ECG screen. Patients with a positive AI-ECG screen were older and had more comorbidities. As compared to patients with hs-cTnT≤99th percentile in whom AI-ECG was positive in 5.8%, those with hs-cTnT&gt;99th percentile had a positive AI-ECG in 22% of cases (p&lt;0.0001). Based on adjudicated diagnoses, the frequency of a positive AI-ECG was 20% in myocardial injury, 38% in type 1 MI, and 20% in type 2 MI. At 2-years follow-up, as compared to patients with a negative AI-ECG, those with a positive AI-ECG had a higher risk for MACE (48% vs. 21%, p&lt;0.0001, adjusted HR 1.39, 95% CI 1.11–1.75) (Figure 1), mainly because of more deaths (43% vs. 30%, p=0.004) and HF hospitalizations (36% vs. 13%, p&lt;0.0001). A positive AI-ECG was associated with a higher risk for MACE (60% vs. 41%, p&lt;0.0001, adjusted HR 1.30, 95% CI 1.02–1.64) in those with hs-cTnT increases &gt;99th percentile, but not in those without hs-cTnT increases. Among patients with an echocardiogram during index presentation or within 30-days (n=452), the diagnostic accuracy of AI-ECG for LVEF ≤35% was 81.4% (95% CI 77.5, 84.9) with a negative predictive value of 96.5% (95% CI 94.0, 98.2). A normal LVEF (&gt;50%) was observed in 87% of those with a negative AI ECG, whereas in those with a positive AI-ECG LVEF was reduced (&lt;50%) in 60%. Conclusions Among ED patients evaluated with hs-cTnT, a positive AI-ECG screen for LVSD identifies patients at high risk of MACE. These findings are largely because of more deaths and HF hospitalizations in those with hs-cTnT increases &gt;sex-specific 99th percentiles. Funding Acknowledgement Type of funding sources: None.

Abstract Aims Limited US outcome data exist among patients with myocardial injury and types 1 and 2 myocardial infarction (MI) evaluated with high-sensitivity cardiac troponin (hs-cTn). Methods and results This is an observational US cohort study of emergency department (ED) patients undergoing hs-cTnT measurement. Cases with ≥1 hs-cTnT increase &gt;99th percentile were adjudicated following the Fourth Universal Definition of MI. Post-discharge major adverse cardiovascular events (MACE) included death, MI, heart failure (HF) hospitalization, stroke or transient ischaemic attack, and new-onset atrial fibrillation or flutter during 2 years follow-up. Among 2002 patients, 857 (43%) had ≥1 hs-cTnT &gt;99th percentile. Among these, 702 (81.9%) had myocardial injury, 64 (7.5%) had type 1 MI, and 91 (10.6%) had type 2 MI. Compared with patients without myocardial injury, type 2 MI [8.4 vs. 50%; adjusted hazard ratio (HR) 2.31, 95% confidence interval (CI) 1.49–3.58] and myocardial injury (8.4 vs. 47%; adjusted HR 3.13, 95% CI 2.39–4.09) had a higher risk of MACE, in large part because of death and HF hospitalizations. Compared with patients with type 1 MI, type 2 MI (23 vs. 50%; adjusted HR 2.24; 95% CI 1.23–4.10) and myocardial injury (23 vs. 47%; adjusted HR 2.02; 95% CI 1.20–3.40) also have a higher risk of MACE. Conclusion Among unselected US ED patients undergoing hs-cTnT measurement, most increases are due to myocardial injury, and type 2 MI is more frequent than type 1 MI. Patients with myocardial injury and type 2 MI have morbid outcomes, in large part due to death and HF.

Background: There are good data to support using a single high-sensitivity cardiac troponin T (hs-cTnT) below the limit of detection of 5 ng/L to exclude acute myocardial infarction. Per the US Food and Drug Administration, hs-cTnT can only report to the limit of quantitation of 6 ng/L, a threshold for which there are limited data. Our goal was to determine whether a single hs-cTnT below the limit of quantitation of 6 ng/L is a safe strategy to identify patients at low risk for acute myocardial injury and infarction. Methods: The efficacy (proportion identified as low risk based on baseline hs-cTnT<6 ng/L) of identifying low-risk patients was examined in a multicenter (n=22 sites) US cohort study of emergency department patients undergoing at least 1 hs-cTnT (CV Data Mart Biomarker cohort). We then determined the performance of a single hs-cTnT<6 ng/L (biomarker alone) to exclude acute myocardial injury (subsequent hs-cTnT >99th percentile in those with an initial hs-cTnT<6 ng/L). The clinically intended rule-out strategy combining a nonischemic ECG with a baseline hs-cTnT<6 ng/L was subsequently tested in an adjudicated cohort in which the diagnostic performance for ruling out acute myocardial infarction and safety (myocardial infarction or death at 30 days) were evaluated. Results: A total of 85 610 patients were evaluated in the CV Data Mart Biomarker cohort, among which 24 646 (29%) had a baseline hs-cTnT<6 ng/L. Women were more likely than men to have hs-cTnT<6 ng/L (38% versus 20%, P <0.0001). Among 11 962 patients with baseline hs-cTnT<6 ng/L and serial measurements, only 1.2% developed acute myocardial injury, resulting in a negative predictive value of 98.8% (95% CI, 98.6–99.0) and sensitivity of 99.6% (95% CI, 99.5–99.6). In the adjudicated cohort, a nonischemic ECG with hs-cTnT<6 ng/L identified 33% of patients (610/1849) as low risk and resulted in a negative predictive value and sensitivity of 100% and a 30-day rate of 0.2% for myocardial infarction or death. Conclusions: A single hs-cTnT below the limit of quantitation of 6 ng/L is a safe and rapid method to identify a substantial number of patients at very low risk for acute myocardial injury and infarction.

Abstract Background Limited data exist on high-sensitivity cardiac troponin (hs-cTn) for risk-stratification in COVID-19. Methods We conducted a multicenter, retrospective, observational, US-based study of COVID-19 patients undergoing hs-cTnT. Outcomes included short-term mortality (in-hospital and 30-days post-discharge) and a composite of major adverse events, including respiratory failure requiring mechanical ventilation, cardiac arrest, and shock within the index presentation and/or mortality during the index hospitalization or within 30-days post-discharge. Results Among 367 COVID-19 patients undergoing hs-cTnT, myocardial injury was identified in 46%. They had a higher risk for mortality (20% vs 12%, P &lt; 0.0001; unadjusted HR 4.44, 95% CI 2.13–9.25, P &lt; 0.001) and major adverse events (35% vs. 11%, P &lt; 0.0001; unadjusted OR 4.29, 95% CI 2.50–7.40, P &lt; 0.0001). Myocardial injury was associated with major adverse events (adjusted OR 3.84, 95% CI 2.00–7.36, P &lt; 0.0001) but not mortality. Baseline (adjusted OR 1.003, 95% CI 1.00–1.007, P = 0.047) and maximum (adjusted OR 1.005, 95% CI 1.001–1.009, P = 0.0012) hs-cTnT were independent predictors of major adverse events. Most (95%) increases were due to myocardial injury, with 5% (n = 8) classified as type 1 or 2 myocardial infarction. A single hs-cTnT &lt;6 ng/L identified 26% of patients without mortality, with a 94.9% (95% CI 87.5–98.6) negative predictive value and 93.1% sensitivity (95% CI 83.3–98.1) for major adverse events in those presenting to the ED. Conclusions Myocardial injury is frequent and prognostic in COVID-19. While most hs-cTnT increases are modest and due to myocardial injury, they have important prognostic implications. A single hs-cTnT &lt;6 ng/L at presentation may facilitate the identification of patients with a favorable prognosis.