Computable Phenotype Implementation for a National, Multicenter Pragmatic Clinical Trial: Lessons Learned From ADAPTABLE.

BACKGROUND: Many large-scale cardiovascular clinical trials are plagued with escalating costs and low enrollment. Implementing a computable phenotype, which is a set of executable algorithms, to identify a group of clinical characteristics derivable from electronic health records or administrative claims records, is essential to successful recruitment in large-scale pragmatic clinical trials. This methods paper provides an overview of the development and implementation of a computable phenotype in ADAPTABLE (Aspirin Dosing: a Patient-Centric Trial Assessing Benefits and Long-Term Effectiveness)-a pragmatic, randomized, open-label clinical trial testing the optimal dose of aspirin for secondary prevention of atherosclerotic cardiovascular disease events. METHODS AND RESULTS: A multidisciplinary team developed and tested the computable phenotype to identify adults ≥18 years of age with a history of atherosclerotic cardiovascular disease without safety concerns around using aspirin and meeting trial eligibility criteria. Using the computable phenotype, investigators identified over 650 000 potentially eligible patients from the 40 participating sites from Patient-Centered Outcomes Research Network-a network of Clinical Data Research Networks, Patient-Powered Research Networks, and Health Plan Research Networks. Leveraging diverse recruitment methods, sites enrolled 15 076 participants from April 2016 to June 2019. During the process of developing and implementing the ADAPTABLE computable phenotype, several key lessons were learned. The accuracy and utility of a computable phenotype are dependent on the quality of the source data, which can be variable even with a common data model. Local validation and modification were required based on site factors, such as recruitment strategies, data quality, and local coding patterns. Sustained collaboration among a diverse team of researchers is needed during computable phenotype development and implementation. CONCLUSIONS: The ADAPTABLE computable phenotype served as an efficient method to recruit patients in a multisite pragmatic clinical trial. This process of development and implementation will be informative for future large-scale, pragmatic clinical trials. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT02697916.

Association of the timing of ST-segment resolution with TIMI myocardial perfusion grade in acute myocardial infarction.

BACKGROUND: More complete ST-segment resolution (ST res) in acute myocardial infarction (MI) has been associated with better epicardial and myocardial reperfusion as assessed with the Thrombolysis in Myocardial Infarction (TIMI) flow grade (TFG) and the TIMI myocardial perfusion grade (TMPG), respectively. However, no data exist comparing the speed of ST resolution on continuous electrocardiogram (ECG) monitoring with the TMPG on coronary angiography. We hypothesized that delayed ST res is associated with impaired TMPGs. METHODS: Continuous 12-lead ECG recordings and 60-minute angiographic data were analyzed in 120 patients with acute MI who received tenectaplase monotherapy or combination therapy with low-dose tenectaplase and eptifibatide in the Integrilin and Tenecteplase in Acute Myocardial Infarction (INTEGRITI) trial. RESULTS: More rapid ST res on continuous ECG monitoring was associated with improved TMPGs on coronary angiography performed 60 minutes after study drug administration. For TMPG 3, the median time to ST resolution was 53 minutes. For TMPG 2, 1, and 0, the corresponding times were 64 minutes, 80 minutes, and 106 minutes, respectively (P =.01 for trend). Likewise, more rapid ST res was also associated with faster epicardial flow. For TFG 3, the median time to ST resolution was 46 minutes, compared with 109 minutes for TIMI flow grades 0 to 2 (P =.001). The corresponding times for a corrected TIMI frame count < or =40 versus >40 were 52 minutes and 112 minutes, respectively (P <.001). CONCLUSIONS: Although the static ECG has been associated with epicardial and myocardial blood flow in the past, this study extends these observations to demonstrate that more rapid ST res on continuous ECG monitoring is associated with improved myocardial perfusion after thrombolytic administration.

Association of a pulsatile blood flow pattern on coronary arteriography and short-term clinical outcomes in acute myocardial infarction.

OBJECTIVES: We hypothesized that recognition of systolic flow reversal (pulsatile flow) after thrombolytic administration on coronary angiography is associated with angiographic and electrocardiogram findings reflecting impaired myocardial perfusion, as well as poorer clinical outcomes. BACKGROUND: Reversal of systolic flow on Doppler velocity wire recordings has been associated with impaired tissue perfusion on myocardial contrast echocardiography in the setting of myocardial infarction (MI). METHODS: Patients (n = 1,062) with a patent infarct-related artery were drawn from the Thrombolysis In Myocardial Infarction (TIMI) 10, TIMI 14, and Integrillin and Tenecteplase acute MI trials. RESULTS: Pulsatile flow (systolic flow reversal with cessation of antegrade contrast-dye motion or frank reversal of contrast-dye motion during systole) at 60 min after fibrinolytic administration was present in 11.0% of patients. Pulsatile flow was associated with higher corrected TIMI frame counts (slower epicardial flow) (median 40.1 frames, IQ 30 of 63 vs. 30 frames, interquartile 22 of 42, p < 0.0001), a closed microvasculature (TIMI myocardial perfusion grades 0 of 1, 57.1% vs. 37.8%, p = 0.03) and less complete (> or =70%) ST-segment resolution (23.5% vs. 58.9%, p = 0.008). Patients with pulsatile flow had a higher risk of death or reinfarction at 30 days (10.3% vs. 5.0%, p = 0.019). After controlling for age, pulse, blood pressure, anterior MI location, epicardial flow, and creatine kinase, pulsatile flow remained associated with an increased risk of death/MI (odds ratio 3.1, p = 0.006). CONCLUSIONS: A pulsatile pattern of flow is associated with impaired myocardial perfusion and poorer clinical outcomes independent of the velocity of antegrade flow in the epicardial artery. This simple and easily identifiable angiographic flow pattern may be useful in clinical risk stratification.

Distance from the coronary ostium to the culprit lesion in acute ST-elevation myocardial infarction and its implications regarding the potential prevention of proximal plaque rupture.

BACKGROUND: Shorter distances from the coronary ostia to culprit lesions have been associated with a higher incidence of adverse outcomes in ST elevation acute myocardial infarction (STEMI). As drug-eluting stents are associated with low rates of restenosis and formation of a stable intima, we sought to develop a mathematical model to estimate how far down the coronary artery a drug-eluting stent would have to be placed to theoretically mitigate the risk of proximal plaque rupture. OBJECTIVES AND METHODS: Distances from the ostia to the end of the culprit lesions were planimetered in 1,914 patients from the TIMI 14, INTEGRITI, FASTER and ENTIRE/TIMI 23 trials. RESULTS: The first 60 mm of the coronary artery contained 75% of STEMI culprit lesions. The median distance from the vessel ostium to the end of the culprit lesion was 43 mm (mean 50 +/- 34) and the relative distance from the vessel ostium to the end of the lesion was 29% (mean 33 +/- 17%) of the total culprit artery length. Diabetes was the only baseline clinical characteristic associated with a longer absolute distance to the end of the culprit lesion (46 mm vs. 43 mm, p = 0.03) as well as relative to total artery length (31% vs. 29%, p = 0.04). Median distances from the artery ostium to the end of the culprit lesion were shortest among the left anterior descending culprits (40 mm), followed by circumflex lesions (43 mm) and then right coronary artery lesions (47 mm, 3-way p < 0.0001). CONCLUSION: The majority of culprit lesions in STEMI are contained within the proximal 30% of the major epicardial coronary arteries, but the distance varies depending upon which epicardial artery is involved. Cumulative distribution functions are presented to allow estimation of the percent of culprit lesions lying proximal to any given distance from the ostium to model the feasibility of prophylactic drug-eluting stenting to minimize the risk of subsequent proximal plaque rupture.