Faculty Bibliography

BACKGROUND:The initial wave of the coronavirus disease 2019 (COVID-19) pandemic resulted in an influx of patients with acute viral illness and profound changes in healthcare delivery in New York City. The impact of this pandemic on the presentation and invasive management of acute myocardial infarction (MI) is not well described. METHODS:This single-center retrospective study compared patients with MI who underwent invasive coronary angiography at New York University from March-April 2020, during the peak of the first wave of the pandemic, with those presenting in March-April 2019. RESULTS:Only 35 patients with MI underwent angiography during the study period in 2020 vs 109 patients in 2019. No differences in comorbidities or baseline medications were identified. The proportion of patients with ST-segment elevation MI (STEMI) was higher in 2020 than in 2019 (48.6% vs 24.8%, respectively; P=.01). Median peak troponin concentration was higher (14.5 ng/mL vs 2.9 ng/mL; P<.01) and left ventricular ejection fraction was lower (43.34% vs 51.1%; P=.02) during the pandemic. Among patients with non-STEMI, time from symptom onset to presentation was delayed in 2020 compared with 2019 (median, 24 hours vs 10 hours; P=.04). CONCLUSION/CONCLUSIONS:There was a dramatic decrease in the number of patients with MI undergoing coronary angiography during the first wave of the COVID-19 pandemic. Of those who presented, patients tended to seek care later after symptom onset and had excess myocardial injury. These data indicate a need for improved patient education to ensure timely cardiovascular care during public health emergencies.

BACKGROUND:Perioperative myocardial infarction is frequently attributed to type 2 myocardial infarction, a mismatch in myocardial oxygen supply-demand without unstable coronary artery disease. Our aim was to identify characteristics, management, and outcomes of perioperative type 1 versus type 2 myocardial infarction among surgical inpatients. METHODS:Adults age ≥45 years hospitalized for noncardiac surgery were identified in the United States. Perioperative myocardial infarction were identified using International Classification of Diseases, 10th revision (ICD-10) codes. Clinical characteristics, invasive myocardial infarction management, mortality, and readmissions were assessed by myocardial infarction subtype. RESULTS:Among 4,755,382 surgical hospitalizations, we identified 38,975 perioperative myocardial infarctions (0.82%), with type 2 infarction in 42%. Patients with type 2 myocardial infarction were older, more likely to be women, and less likely to have cardiovascular comorbidities compared with type 1 myocardial infarction. Fewer patients with type 2 myocardial infarction underwent invasive management than type 1 myocardial infarction (6.7% vs 28.8%, P < .001). Type 2 myocardial infarction mortality was lower than type 1 myocardial infarction mortality (12.1% vs 17.4%, P < .001; adjusted odds ratio [aOR] 0.51, 95% confidence interval [CI] 0.45-0.59). Invasive management of perioperative myocardial infarction was associated with lower mortality in type 1 (aOR 0.56, 95% CI 0.49-0.74) but not type 2 (aOR 1.19, 95% CI 0.77-1.85) myocardial infarction. Among survivors, there was no difference in 90-day hospital readmission between type 2 and type 1 perioperative myocardial infarction (36.5% vs 36.1%, P = .72). CONCLUSIONS:Type 2 myocardial infarctions account for approximately 40% of perioperative myocardial infarctions. Patients with type 2 perioperative myocardial infarction are less likely to undergo invasive management and have lower mortality compared with those with type 1 perioperative myocardial infarction.

INTRODUCTION/BACKGROUND:The impact of diabetes mellitus (DM) on outcomes of lower extremity revascularization (LER) for peripheral artery disease (PAD) is uncertain. We characterized associations between DM and post-procedural outcomes in PAD patients undergoing LER. METHODS:Adults undergoing surgical or endovascular LER were identified from the 2014 Nationwide Readmissions Database. DM was defined by ICD-9 diagnosis codes and sub-classified based on the presence or absence of complications (poor glycemic control or end-organ damage). Major adverse cardiovascular and limb events (MACLE) were defined as the composite of death, myocardial infarction, ischaemic stroke, or major limb amputation during the index hospitalization for LER. For survivors, all-cause 6-month hospital readmission was determined. RESULTS:Among 39,441 patients with PAD hospitalized for LER, 50.8% had DM. The composite of MACLE after LER was not different in patients with and without DM after covariate adjustment, but patients with DM were more likely to require major limb amputation (5.5% vs. 3.2%, p < 0.001; adjusted odds ratio [aOR] 1.22, 95% CI 1.03-1.44) and hospital readmission (59.2% vs. 41.3%, p < 0.001; aOR 1.44, 95% CI 1.34-1.55). Of 20,039 patients with DM hospitalized for LER, 55.7% had DM with complications. These patients were more likely to have MACLE after LER (11.1% vs. 5.2%, p < 0.001; aOR 1.56 95% CI 1.28-1.89) and require hospital readmission (61.1% vs. 47.2%, p < 0.001; aOR 1.41 95% CI 1.27-1.57) than patients with uncomplicated DM. CONCLUSIONS:DM is present in ≈50% of patients undergoing LER for PAD and is an independent risk factor for major limb amputation and 6-month hospital readmission.

BACKGROUND:Guidelines recommend moderate to high-intensity statins and antithrombotic agents in patients with atherosclerotic cardiovascular disease (ASCVD). However, guideline-directed medical therapy (GDMT) remains suboptimal. METHODS:In this quality initiative, best practice alerts (BPA) in the electronic health record (EHR) were utilized to alert providers to prescribe to GDMT upon hospital discharge in ASCVD patients. Rates of GDMT were compared for 5 months pre- and post-BPA implementation. Multivariable regression was used to identify predictors of GDMT. RESULTS:In 5985 pre- and 5568 post-BPA patients, the average age was 69.1 ± 12.8 years and 58.5% were male. There was a 4.0% increase in statin use from 67.3% to 71.3% and a 3.1% increase in antithrombotic use from 75.3% to 78.4% in the post-BPA cohort. CONCLUSIONS:This simple EHR-based initiative was associated with a modest increase in ASCVD patients being discharged on GDMT. Leveraging clinical decision support tools provides an opportunity to influence provider behavior and improve care for ASCVD patients, and warrants further investigation.