Bell, Malcolm R.

Background: The aim of this study was to determine whether adding DE-CMR and/or TTE based parameters beyond known clinical factors provides incremental improvement of predicting long-term outcomes in STEMI patients who undergo acute reperfusion therapy. Methods and Results: One hundred twenty patients with first time STEMI who underwent PCI (74%), fibrinolysis (3%), and both (19%), were studied by both delayed enhancement cardiac magnetic resonance (DE-CMR) and transthoracic echocardiogram (TTE) during the acute phase of myocardial infarction. The primary endpoint was major adverse cardiac events (MACE). There were 28 events (6 deaths, 13 recurrent ischemia, and 9 heart failure) over a median follow-up of 4 years. We defined incremental increase in prognostic value by increase in Cox proportional hazards global chi square (χ 2 ) and/or increase in c-index with the addition of TTE and/or CMR parameters after adjusting for clinical variables. Among the clinical data, heart rate (HR: 1.02, p=0.047) and troponin (HR: 1.13, p=0.013) predicted MACE (χ 2 : 12.4, P=0.002; C index 0.69). After adjusting for these clinical factors, adding TTE parameters (left ventricular end systolic volume index [HR: 1.05, p<0.0001] and mitral valve deceleration time [HR: 0.99, p=0.036]), increased the global χ 2 to 24.6 and C index to 0.74 (p<0.0001). When CMR parameter (infarct size [HR: 2.92, p<0.0001]) was added to the clinical data alone, there was greater increase in global χ 2 to 36.8 and C index to 0.83 (p<0.0001). Addition of DE- CMR to clinical data combined with TTE measures showed significant incremental value with increased χ 2 difference of 17.6 (p<0.0001). There was no significant incremental value of adding TTE to clinical data combined with DE-CMR (p>0.05). Conclusion: DE-CMR provides significant incremental value for prognosticating adverse cardiac events over clinical data alone (or when in combination with TTE) in STEMI patients who undergo reperfusion therapy.

Background: Previous percutaneous coronary intervention risk models were focused on single outcome, such as mortality or bleeding, etc, limiting their applicability. Our objective was to develop contemporary percutaneous coronary intervention risk models that not only determine in-hospital mortality but also predict postprocedure bleeding, acute kidney injury, and stroke from a common set of variables. Methods: We built risk models using logistic regression from first percutaneous coronary intervention for any indication per patient (n=19 322, 70.6% with acute coronary syndrome) using the Mayo Clinic registry from January 1, 2000 to December 31, 2016. Approval for the current study was obtained from the Mayo Foundation Institutional Review Board. Patients with missing outcomes (n=4183) and those under 18 (n=10) were removed resulting in a sample of 15 129. We built both models that included procedural and angiographic variables (Models A) and precatheterization model (Models B). Results: Death, bleeding, acute kidney injury, and stroke occurred in 247 (1.6%), 650 (4.3%), 1184 (7.8%), and 67 (0.4%), respectively. The C statistics from the test dataset for models A were 0.92, 0.70, 0.77, and 0.71 and for models B were 0.90, 0.67, 0.76, and 0.71 for in-hospital death, bleeding, acute kidney injury, and stroke, respectively. Bootstrap analysis indicated that the models were not overfit to the available dataset. The probabilities estimated from the models matched the observed data well, as indicated by the calibration curves. The models were robust across many subgroups, including women, elderly, acute coronary syndrome, cardiogenic shock, and diabetes. Conclusions: The new risk scoring models based on precatheterization variables and models including procedural and angiographic variables accurately predict in-hospital mortality, bleeding, acute kidney injury, and stroke. The ease of its application will provide useful prognostic and therapeutic information to both patients and physicians.

Background: It is known that hypokalemia, hypocalcemia and hypomagnesemia cause a prolonged QTc interval and are associated with an increased risk of ventricular arrhythmias. However, there are limited data on optimal serum electrolytes for patients admitted to the coronary care unit (CCU). Objective: Here, we aimed to evaluate the relationship between serum potassium, ionized calcium and magnesium levels and in-hospital mortality in the CCU setting. Methods: This retrospective cohort study included 8,498 consecutive patients admitted to the CCU at an academic tertiary medical center from 2004 through 2013. The mean of serum electrolytes was categorized as <3.5, 3.5-<4.0, 4.0-<4.5 (reference), 4.5-<5.0, and ≥5.0 mEq/L for potassium; <4.4, 4.4-<4.6, 4.6-<4.8, 4.8-<5.0 (reference), and ≥5.0 mg/dL for ionized calcium; and <1.8, 1.8-<2.0, 2.0-<2.2 (reference), 2.2-<2.4, and ≥2.4 mg/dL for magnesium. Multivariate logistic regression analysis was used to determine the association between the mean of serum electrolytes and in-hospital mortality. Results: Of the 8,498 patients, 599 (7%) died during hospitalization. Relationship between mean serum potassium (U-shaped), ionized calcium (inverted J-shape) and magnesium (J-shaped) and in-hospital mortality was present in Figure. Serum potassium levels <3.5, 4.5-<5.0 and ≥5.0 mEq/L were independently associated with an increased risk of in-hospital mortality (adjusted OR 1.7 95% CI 1.1-2.5, OR 1.7 95% CI 1.3-2.2, and OR 3.4 95% CI 2.4-4.8, respectively), compared to the reference group. As for serum ionized calcium, the levels of <4.4, 4.4-<4.6, and 4.6-<4.8 mg/dL independently increased risk of mortality (adjusted OR 3.0 95% CI 2.3-4.0, OR 2.0 95% CI 1.5-2.6, and OR 1.4 95% CI, 1.1-1.8, respectively). As for serum magnesium, an only level above 2.4 mg/dL was associated with an increased mortality risk (OR 1.6 95% CI, 1.1-2.2). Conclusions: In the CCU setting, serum potassium 3.5-<4.5 mEq/L, ionized calcium ≥5.0 mg/dL and magnesium <2.4 mg/dL are associated with the lowest in-hospital mortality. These findings do not support supratherapeutic repletion of potassium and magnesium.

Background: Health insurance coverage has been recently expanded to millions of Americans with the goal of improving access and quality of care. We evaluated long-term outcomes for patients with ST-elevation myocardial infarction (STEMI) with different insurance types. Methods: From 2004 to 2010, 970 consecutive STEMI patients who presented to 29 hospitals in Minnesota, Iowa or Wisconsin were treated according to the Mayo STEMI protocol. Demographic, clinical, procedural, and long-term follow up data were prospectively collected. 953 patients were categorized into groups by insurance type - private insurance (PI, n=430), Medicare (MC, n=420), Medicaid (MD, n=68), and uninsured (UN, n=35). Results: Median duration of follow-up was 32 months, and mean ages (years) were 55±8 for PI, 75±10 for MC, 49±10 for MD, and 52±9 for UN (p<0.001). Compared to PI patients, MC and MD patients were more likely to have diabetes (both 21% vs 10%, p<0.001); MC patients had more renal failure (4% vs <1%, p=0.012) but UN patients did not differ significantly (DM 12% and CRF 0%). All groups had similar frequency of cardiogenic shock (PI 9%, MC 14%, MD 9%, UN 6%, p=0.08) and comparable door-to-balloon (in minutes(Q1,Q3): PI 69(54,107), MC 79(61,114), MD 83(55,124), UN 76(58,94), p=0.09) and door-to-needle times (in minutes(Q1,Q3): PI 26(19,34), MC 29 (21,39), MD 27(22,34), UN 17(13,21), p=0.06). MC patients had the highest incidence of in-hospital death (7.6%; p=0.003 vs PI 3.0%). Significant differences in all cause mortality between insurance groups were present on 5-year follow-up (Figure). After risk factor adjustment for age (HR 1.89 per decade, p<0.001), female sex (HR 1.16, p=0.40), diabetes (HR 1.89, p<0.001), peripheral artery disease (HR 2.06, p=0.004), heart failure (HR 1.40, p=0.14), cardiogenic shock (4.22, p<0.001) and renal failure (HR 1.62, p=0.20); insurance type was not an independent risk factor for death (p=0.26). When compared to PI, the hazard ratio for UN was associated with a trend for worse survival (HR 2.69, 95%CI 0.94, 7.67, p=0.06) while MC (HR 0.94, 95%CI 0.55, 1.61, p=0.83) and MD patients (HR 1.37, 95%CI 0.52, 3.59, p=0.53) had similar survival after adjustment for covariates. Conclusion: Timeliness of reperfusion was similar across all insurance groups. After adjustment for baseline clinical variables, there was no significant difference in long-term survival according to insurance type.

Troponin is the biomarker of choice for the diagnosis of myocardial infarction (MI) in clinical practice. Data on its value to predict death, while documented in clinical trials, are lacking from community studies. There is little information from population studies of MI on short and long term predictive value of Troponin on death and nonfatal endpoints such as recurrent ischemic events and heart failure. Methods: We evaluated the prognostic value of Troponin T (TnT) among consecutive persons with incident MI in Olmsted County, MN. Results: 1220 persons (mean age 69±15 years, 45% women) experienced an incident MI (20% ST elevation MI) in Olmsted County, MN between 2002 and 2008. Peak TnT value measured at a median of 1 day post-MI was 1.88±4.19 ng/mL (median 0.52 (25%: 0.16, 75%: 1.75)). After 1.27 years of follow-up, 294 deaths occurred, 360 recurrent ischemic events (recurrent MI or hospitalized unstable angina) and 345 episodes of heart failure. Associations between clinical events and TnT tertiles are shown in the table . Conclusions: In the community, the magnitude of TnT elevation is predictive of recurrent ischemic events, heart failure and early death. It is not associated with long-term mortality. Hazard ratio compared to lowest TnT tertile, 95%CI and p value Adjusted for age, sex and comorbidity Outcome All events Events within 30 days Events among 30 day survivors Death TnT tertile 2 TnT tertile 3 p-value 1.02 (0.78-1.33) 1.15 (0.85-1.57) 0.64 0.64 (0.38-1.06) 1.59 (0.98-2.57) 0.004 1.24 (0.90-1.69) 0.93 (0.62-1.38) 0.26 Recurrent ischemic events TnT tertile 2 TnT tertile 3 p-value 1.45 (1.12-1.88) 1.70 (1.29-2.24) <0.001 1.45 (0.96-2.19) 2.07 (1.37-3.12) 0.002 1.46 (1.05-2.04) 1.45 (1.00-2.10) 0.049 Heart failure TnT tertile 2 TnT tertile 3 p-value 1.03 (0.78-1.36) 2.10 (1.58-2.78) <0.001 0.94 (0.68-1.29) 2.10 1.54-2.87) <0.001 1.38 (0.79-2.41) 2.19 (1.14-4.21) 0.067

Background: There are limited data on uninsured patients presenting with acute myocardial infarction-cardiogenic shock (AMI-CS). This study sought to compare the management and outcomes of AMI-CS between uninsured and privately insured individuals. Methods: Using the National Inpatient Sample (2000–2016), a retrospective cohort of adult (≥18 years) uninsured admissions (primary payer—self-pay or no charge) were compared with privately insured individuals. Interhospital transfers were excluded. Outcomes of interest included in-hospital mortality, temporal trends in admissions, use of cardiac procedures, do-not-resuscitate status, palliative care referrals, and resource utilization. Results: Of 402 182 AMI-CS admissions, 21 966 (5.4%) and 93 814 (23.3%) were uninsured and privately insured. Compared with private insured individuals, uninsured admissions were younger, male, from a lower socioeconomic status, had lower comorbidity, higher rates of acute organ failure, ST-segment elevation AMI-CS (77.3% versus 76.4%), and concomitant cardiac arrest (33.8% versus 31.9%; all P <0.001). Compared with 2000, in 2016, there were more uninsured (adjusted odds ratio, 1.15 [95% CI, 1.13–1.17]; P <0.001) and less privately insured admissions (adjusted odds ratio, 0.85 [95% CI, 0.83–0.87]; P <0.001). Uninsured individuals received less frequent coronary angiography (79.5% versus 81.0%), percutaneous coronary intervention (60.8% versus 62.2%), mechanical circulatory support (54% versus 55.5%), and had higher palliative care (3.8% versus 3.2%) and do-not-resuscitate status use (4.4% versus 3.2%; all P <0.001). Uninsured admissions had higher in-hospital mortality (adjusted odds ratio, 1.62 [95% CI, 1.55–1.68]; P <0.001) and resource utilization. Conclusions: Uninsured individuals have higher in-hospital mortality and lower use of guideline-directed therapies in AMI-CS compared with privately insured individuals.

ABSTRACT Background: There are limited data on the temporal trends, incidence, and outcomes of ST-segment-elevation myocardial infarction-cardiogenic shock (STEMI-CS). Methods: Adult (>18 years) STEMI-CS admissions were identified using the National Inpatient Sample (2000–2017) and classified by tertiles of admission year (2000–2005, 2006–2011, 2012–2017). Outcomes of interest included temporal trends, acute organ failure, cardiac procedures, in-hospital mortality, hospitalization costs, and length of stay. Results: In ∼4.3 million STEMI admissions, CS was noted in 368,820 (8.5%). STEMI-CS incidence increased from 5.8% in 2000 to 13.0% in 2017 (patient and hospital characteristics adjusted odds ratio [aOR] 2.45 [95% confidence interval {CI} 2.40–2.49]; P < 0.001). Multiorgan failure increased from 55.5% (2000–2005) to 74.3% (2012–2017). Between 2000 and 2017, coronary angiography and percutaneous coronary intervention use increased from 58.8% to 80.1% and 38.6% to 70.6%, whereas coronary artery bypass grafting decreased from 14.9% to 10.4% (all P < 0.001). Over the study period, the use of intra-aortic balloon pump (40.6%–37.6%) decreased, and both percutaneous left ventricular assist devices (0%–12.9%) and extra-corporeal membrane oxygenation (0%–2.8%) increased (all P < 0.001). In hospital mortality decreased from 49.6% in 2000 to 32.7% in 2017 (aOR 0.29 [95% CI 0.28–0.31]; P < 0.001). During the 18-year period, hospital lengths of stay decreased, hospitalization costs increased and use of durable left ventricular assist device /cardiac transplantation remained stable (P > 0.05). Conclusions: In the United States, incidence of CS in STEMI has increased 2.5-fold between 2000 and 2017, while in-hospital mortality has decreased during the study period. Use of coronary angiography and PCI increased during the study period.