Outcomes in non-ST-segment elevation myocardial infarction complicated by in-hospital cardiac arrest based on management strategy.

BACKGROUND: There are limited data on in-hospital cardiac arrest (IHCA) complicating non-ST-segment-elevation myocardial infarction (NSTEMI) based on management strategy. METHODS: We used National Inpatient Sample (2000-2017) to identify adults with NSTEMI (not undergoing coronary artery bypass grafting) and concomitant IHCA. The cohort was stratified based on use of early (hospital day 0) or delayed (≥hospital day 1) coronary angiography (CAG), percutaneous coronary intervention (PCI), and medical management. Outcomes included incidence of IHCA, in-hospital mortality, adverse events, length of stay, and hospitalization costs. RESULTS: Of 6,583,662 NSTEMI admissions, 375,873 (5.7 %) underwent early CAG, 1,133,143 (17.2 %) received delayed CAG, 2,326,391 (35.3 %) underwent PCI, and 2,748,255 (41.7 %) admissions were managed medically. The medical management cohort was older, predominantly female, and with higher comorbidities. Overall, 63,085 (1.0 %) admissions had IHCA, and incidence of IHCA was highest in the medical management group (1.4 % vs 1.1 % vs 0.7 % vs 0.6 %, p < 0.001) compared to early CAG, delayed CAG and PCI groups, respectively. In adjusted analysis, early CAG (adjusted OR [aOR] 0.67 [95 % confidence interval {CI} 0.65-0.69]; p < 0.001), delayed CAG (aOR 0.49 [95 % CI 0.48-0.50]; p < 0.001), and PCI (aOR 0.42 [95 % CI 0.41-0.43]; p < 0.001) were associated with lower incidence of IHCA compared to medical management. Compared to medical management, early CAG (adjusted OR 0.53, CI: 0.49-0.58), delayed CAG (adjusted OR 0.34, CI: 0.32-0.36) and PCI (adjusted OR 0.19, CI: 0.18-0.20) were associated with lower in-hospital mortality (all p < 0.001). CONCLUSION: Early CAG and PCI in NSTEMI was associated with lower incidence of IHCA and lower mortality among NSTEMI-IHCA admissions.

In-Hospital cardiac arrest complicating ST-elevation myocardial Infarction: Temporal trends and outcomes based on management strategy.

BACKGROUND: There are limited data on the relationship of ST-segment-elevation myocardial infarction (STEMI) management strategy and in-hospital cardiac arrest (IHCA). AIMS: To investigate the trends and outcomes of IHCA in STEMI by management strategy. METHODS: Adult with STEMI complicated by IHCA from the National Inpatient Sample (2000-2017) were stratified into early percutaneous coronary intervention (PCI) (day 0 of hospitalization), delayed PCI (PCI ≥ day 1), or medical management (no PCI). Coronary artery bypass surgery was excluded. Outcomes of interest included in-hospital mortality, adverse events, length of stay, and hospitalization costs. RESULTS: Of 3,967,711 STEMI admissions, IHCA was noted in 102,424 (2.6%) with an increase in incidence during this study period. Medically managed STEMI had higher rates of IHCA (3.6% vs 2.0% vs 1.3%, p < 0.001) compared to early and delayed PCI, respectively. Revascularization was associated with lower rates of IHCA (early PCI: adjusted odds ratio [aOR] 0.44 [95% confidence interval (CI) 0.43-0.44], p < 0.001; delayed PCI aOR 0.33 [95% CI 0.32-0.33], p < 0.001) compared to medical management. Non-revascularized patients had higher rates of non-shockable rhythms (62% vs 35% and 42.6%), but lower rates of multiorgan damage (44% vs 52.7% and 55.6%), cardiogenic shock (28% vs 65% and 57.4%) compared to early and delayed PCI, respectively (all p < 0.001). In-hospital mortality was lower with early PCI (49%, aOR 0.18, 95% CI 0.17-0.18), and delayed PCI (50.9%, aOR 0.18, 95% CI 0.17-0.19) (p < 0.001) compared to medical management (82.5%). CONCLUSION: Early PCI in STEMI impacts the natural history of IHCA including timing and type of IHCA.

Hospitalization Duration for Acute Myocardial Infarction: A Temporal Analysis of 18-Year United States Data.

Background and objectives: Primary percutaneous coronary intervention (PCI)-related outcomes in acute myocardial infarction (AMI) have improved over time, but there are limited data on the length of stay (LOS) in relation to in-hospital mortality. Materials and Methods: A retrospective cohort of adult AMI admissions was identified from the National Inpatient Sample (2000−2017) and stratified into short (≤3 days) and long (>3 days) LOS. Outcomes of interest included temporal trends in LOS and associated in-hospital mortality, further sub-stratified based on demographics and comorbidities. Results: A total 11,622,528 admissions with AMI were identified, with a median LOS of 3 (interquartile range [IQR] 2−6) days with 49.9% short and 47.3% long LOS, respectively. In 2017, compared to 2000, temporal trends in LOS declined in all AMI, with marginal increases in LOS >3 days and decreases for ≤3 days (median 2 [IQR 1−3]) vs. long LOS (median 6 [IQR 5−9]). Patients with long LOS had lower rates of coronary angiography and PCI, but higher rates of non-cardiac organ support (respiratory and renal) and use of coronary artery bypass grafting. Unadjusted in-hospital mortality declined over time. Short LOS had comparable mortality to long LOS (51.3% vs. 48.6%) (p = 0.13); however, adjusted in-hospital mortality was higher in LOS >3 days when compared to LOS ≤ 3 days (adjusted OR 3.00, 95% CI 2.98−3.02, p < 0.001), with higher hospitalization (p < 0.001) when compared to long LOS. Conclusions: Median LOS in AMI, particularly in STEMI, has declined over the last two decades with a consistent trend in subgroup analysis. Longer LOS is associated with higher in-hospital mortality, higher hospitalization costs, and less frequent discharges to home compared to those with shorter LOS.

Impact of Active and Historical Cancers on the Management and Outcomes of Acute Myocardial Infarction Complicating Cardiogenic Shock.

BACKGROUND: There are limited data on the outcomes of acute myocardial infarction-cardiogenic shock (AMI-CS) in patients with concomitant cancer. METHODS: A retrospective cohort of adult AMI-CS admissions was identified from the National Inpatient Sample (2000-2017) and stratified by active cancer, historical cancer, and no cancer. Outcomes of interest included in-hospital mortality, use of coronary angiography, use of percutaneous coronary intervention, do-not-resuscitate status, palliative care use, hospitalization costs, and hospital length of stay. RESULTS: Of the 557,974 AMI-CS admissions during this 18-year period, active and historical cancers were noted in 14,826 (2.6%) and 27,073 (4.8%), respectively. From 2000 to 2017, there was a decline in active cancers (adjusted odds ratio, 0.70 [95% CI, 0.63-0.79]; P < .001) and an increase in historical cancer (adjusted odds ratio, 2.06 [95% CI, 1.89-2.25]; P < .001). Compared with patients with no cancer, patients with active and historical cancer received less-frequent coronary angiography (57%, 67%, and 70%, respectively) and percutaneous coronary intervention (40%, 47%, and 49%%, respectively) and had higher do-not-resuscitate status (13%, 15%, 7%%, respectively) and palliative care use (12%, 10%, 6%%, respectively) (P < .001). Compared with those without cancer, higher in-hospital mortality was found in admissions with active cancer (45.9% vs 37.0%; adjusted odds ratio, 1.29 [95% CI, 1.24-1.34]; P < .001) but not historical cancer (40.1% vs 37.0%; adjusted odds ratio, 1.01 [95% CI, 0.98-1.04]; P = .39). AMI-CS admissions with cancer had a shorter hospitalization duration and lower costs (all P < .001). CONCLUSION: Concomitant cancer was associated with less use of guideline-directed procedures. Active, but not historical, cancer was associated with higher mortality in patients with AMI-CS.

A Comprehensive Appraisal of Risk Prediction Models for Cardiogenic Shock.

ABSTRACT: Despite advances in early revascularization, percutaneous hemodynamic support platforms, and systems of care, cardiogenic shock (CS) remains associated with a mortality rate higher than 50%. Several risk stratification models have been derived since the 1990 s to identify patients at high risk of adverse outcomes. Still, limited information is available on the differences between scoring systems and their relative applicability to both acute myocardial infarction and advanced decompensated heart failure CS. Thus, we reviewed the similarities, differences, and limitations of published CS risk prediction models and herein discuss their suitability to the contemporary management of CS care.

Concomitant Sepsis Diagnoses in Acute Myocardial Infarction-Cardiogenic Shock: 15-Year National Temporal Trends, Management, and Outcomes.

OBJECTIVES: Mixed cardiogenic-septic shock is common and associated with high mortality. There are limited contemporary data on concomitant sepsis in acute myocardial infarction complicated by cardiogenic shock (AMI-CS). DESIGN: Observational study. SETTING: Twenty percent stratified sample of all community hospitals (2000-2014) in the United States. PARTICIPANTS: Adults (> 18 yr) with AMI-CS with and without concomitant sepsis. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Outcomes of interest included inhospital mortality, development of noncardiac organ failure, complications, utilization of guideline-directed procedures, length of stay, and hospitalization costs. Over 15 years, 444,253 AMI-CS admissions were identified, of which 27,057 (6%) included sepsis. The sepsis cohort had more comorbidities and had higher rates of noncardiac multiple organ failure (92% vs 69%) (all p < 0.001). In 2014, compared with 2000, the prevalence of sepsis increased from 0.5% versus 11.5% with an adjusted odds ratio (aOR) 11.71 (95% CI, 9.7-14.0) in ST-segment elevation myocardial infarction and 24.6 (CI, 16.4-36.7) (all p < 0.001) in non-ST segment elevation myocardial infarction. The sepsis cohort received fewer cardiac interventions (coronary angiography [65% vs 68%], percutaneous coronary intervention [43% vs 48%]) and had greater use of mechanical circulatory support (48% vs 45%) and noncardiac support (invasive mechanical ventilation [65% vs 41%] and acute hemodialysis [12% vs 3%]) (p < 0.001). The sepsis cohort had higher inhospital mortality (44.3% vs 38.1%; aOR, 1.21; 95% CI, 1.18-1.25; p < 0.001), longer length of stay (14.0 d [7-24 d] vs 7.0 d [3-12 d]), greater hospitalization costs (×1,000 U.S. dollars) ($176.0 [$85-$331] vs $77.0 [$36-$147]), fewer discharges to home (22% vs 44%) and more discharges to skilled nursing facilities (51% vs 28%) (all p < 0.001). CONCLUSIONS: In AMI-CS, concomitant sepsis is associated with higher mortality and morbidity highlighting the need for early recognition and integrated management of mixed shock.

A scoring system derived from electronic health records to identify patients at high risk for noninvasive ventilation failure.

OBJECTIVE: To develop and validate a clinical risk prediction score for noninvasive ventilation (NIV) failure defined as intubation after a trial of NIV in non-surgical patients. DESIGN: Retrospective cohort study of a multihospital electronic health record database. PATIENTS: Non-surgical adult patients receiving NIV as the first method of ventilation within two days of hospitalization. MEASUREMENT: Primary outcome was intubation after a trial of NIV. We used a non-random split of the cohort based on year of admission for model development and validation. We included subjects admitted in years 2010-2014 to develop a risk prediction model and built a parsimonious risk scoring model using multivariable logistic regression. We validated the model in the cohort of subjects hospitalized in 2015 and 2016. MAIN RESULTS: Of all the 47,749 patients started on NIV, 11.7% were intubated. Compared with NIV success, those who were intubated had worse mortality (25.2% vs. 8.9%). Strongest independent predictors for intubation were organ failure, principal diagnosis group (substance abuse/psychosis, neurological conditions, pneumonia, and sepsis), use of invasive ventilation in the prior year, low body mass index, and tachypnea. The c-statistic was 0.81, 0.80 and 0.81 respectively, in the derivation, validation and full cohorts. We constructed three risk categories of the scoring system built on the full cohort; the median and interquartile range of risk of intubation was: 2.3% [1.9%-2.8%] for low risk group; 9.3% [6.3%-13.5%] for intermediate risk category; and 35.7% [31.0%-45.8%] for high risk category. CONCLUSIONS: In patients started on NIV, we found that in addition to factors known to be associated with intubation, neurological, substance abuse, or psychiatric diagnoses were highly predictive for intubation. The prognostic score that we have developed may provide quantitative guidance for decision-making in patients who are started on NIV.

Evaluation of the American Association of Cardiovascular and Pulmonary Rehabilitation Exercise Risk Stratification Classification Tool Without Exercise Testing.

PURPOSE: The American Association of Cardiovascular and Pulmonary Rehabilitation (AACVPR) recommends that patients starting cardiac rehabilitation (CR) undergo stratification to identify risk for exercise-related adverse events (AE), but this tool has not been recently evaluated. METHODS: Among patients who enrolled in CR in 2016, we used the AACVPR risk stratification tool to evaluate the risk for AE and clinical events (CE). We defined AE as signs or symptoms that precluded or interrupted exercise during CR, and CE as events requiring an urgent evaluation outside of CR exercise sessions. RESULTS: During the study period, 657 patients with cardiovascular diagnoses were included and classified as high (58%), medium (31%), or low risk (11%). Over the course of CR (76 d, 17 sessions), there were 63 AE and 33 CE. Adverse events were mostly minor (no cardiac arrests or deaths) and managed by CR staff members. When compared with the low- or medium-risk groups, the high-risk group was more likely to have AE (HR 3.0 [95% CI, 1.7-5.9], P = .002) and CE (HR 3.7 [95% CI, 1.5-10.8], P = .002) with fair model discrimination (area under the curve: 0.637, P < .001). CONCLUSION: The AACVPR risk stratification tool was predictive of both AE and CE with fair discrimination, although event rates were low and mostly minor. Thus, the AACVPR model may require reevaluation to better identify truly at-risk patients for major AE.

Hemopericardium in a Sirolimus-Treated Renal Transplant Patient.

Sirolimus is an immunosuppressant frequently prescribed to prevent graft-vs-host disease in renal transplant patients. Pericardial effusion is recognized as a rare and potentially lethal side effect of this medication. Hemopericardium, specifically, is an even rarer complication that has yet to be reported in the literature. We report the first case of sirolimus-induced hemopericardium in a renal transplant patient.

Effects of spirulina on weight loss and blood lipids: a review.

Spirulina, a cyanobacteria commonly referred to as a blue-green algae, is one of the oldest lifeforms on Earth. Spirulina grows in both fresh and saltwater sources and is known for its high protein and micronutrient content. This review paper will cover the effects of spirulina on weight loss and blood lipids. The currently literature supports the benefits of spirulina for reducing body fat, waist circumference, body mass index and appetite and shows that spirulina has significant benefits for improving blood lipids.

Utility of ICD Codes for Stress Cardiomyopathy in Hospital Administrative Databases: What Do They Signify?

Prior studies of stress cardiomyopathy (SCM) have used International Classification of Diseases (ICD) codes to identify patients in administrative databases without evaluating the validity of these codes. Between 2010 and 2016, we identified 592 patients discharged with a first known principal or secondary ICD code for SCM in our medical system. On chart review, 580 charts had a diagnosis of SCM (positive predictive value 98%; 95% CI: 96.4-98.8), although 38 (6.4%) did not have active clinical manifestations of SCM during the hospitalization. Moreover, only 66.8% underwent cardiac catheterization and 91.5% underwent echocardiography. These findings suggest that, although all but a few hospitalized patients with an ICD code for SCM had a diagnosis of SCM, some of these were chronic cases, and numerous patients with a new diagnosis of SCM did not undergo a complete diagnostic workup. Researchers should be mindful of these limitations in future studies involving administrative databases.