Faculty Bibliography

Background/UNASSIGNED:Perioperative cardiovascular outcomes of transplant surgery are not well defined. We evaluated the incidence of perioperative major cardiovascular and cerebrovascular events (MACCE) after non-cardiac transplant surgery from a large database of hospital admissions from the United States. Methods/UNASSIGNED:Patients ≥18 years of age undergoing non-cardiac solid organ transplant surgery from 2004 to 2014 were identified from the Healthcare Cost and Utilization Project's (HCUP) National Inpatient Sample (NIS). The primary outcome was perioperative MACCE, defined as in-hospital death, myocardial infarction (MI), or ischemic stroke. Results/UNASSIGNED:A total of 49,978 hospitalizations for transplant surgery were identified. Renal (67.3%), liver (21.6%), and lung (6.7%) transplantation were the most common surgeries. Perioperative MACCE occurred in 1,539 transplant surgeries (3.1%). Recipients of organ transplantation were more likely to have perioperative MACCE in comparison to non-transplant, non-cardiac surgery (3.1% vs. 2.0%, p < 0.001; adjusted OR [aOR] 1.29, 95% CI 1.22-1.36). MACCE after transplant surgery were driven by increased mortality (1.7% vs. 1.1%, p < 0.001; aOR 1.15, 95% CI 1.07-1.23) and MI (1.2% vs. 0.6%, p < 0.001; aOR 2.26, 95% CI 2.09-2.46) versus non-transplant surgery, with lower rates of stroke (0.3% vs. 0.5%, p < 0.001; aOR 0.56, 95% CI 0.47-0.65). Among patients hospitalized for renal, liver, and lung transplantation, MACCE occurred in 1.7%, 5.6%, and 7.5%, respectively, with no difference in the frequency of MI by surgery type. Conclusions/UNASSIGNED:Cardiovascular outcomes of transplant surgery vary by surgical subtype and are largely driven by increased perioperative death and MI. Efforts to reduce cardiovascular risks of non-cardiac organ transplant surgery are necessary.

BACKGROUND:Kidney transplantation (KT) is the treatment of choice for end-stage kidney disease. Cardiovascular disease is a major determinant of morbidity and mortality in patients with KT. Temporal trends in perioperative cardiovascular outcomes after KT are understudied, especially in light of an aging KT waitlist population. METHODS:We performed a retrospective observational cohort study using the National Inpatient Sample for the years 2004-2013. All adult patients undergoing KT were identified using the appropriate International Classification of Diseases, 9th Revision, Clinical Modification codes. Demographic and hospital characteristics, discharge disposition, payer status, and major adverse cardiovascular events (MACEs) were summarized using summary statistics. Multivariate logistic regression was used to identify predictors of MACEs in the perioperative period of KT. RESULTS:A total of 147,431 KTs were performed between 2004 and 2013. The mean age at KT went up from 48.1 to 51.8 years from 2004 to 2013. Medicare was the primary payer for 59.6% of the KTs. Overall average perioperative mortality was 0.5%, median length of stay was 5 days, and 6.5% of patients experienced an MACE, 78% of which were heart failures (HFs). Important predictors of perioperative MACEs were age ≥65 years (OR = 2.14), Medicare as primary payer (OR = 1.51), diabetes (OR = 1.46), recreational drug use (OR = 1.72), pulmonary circulation disorders (OR = 3.28), and malnutrition (OR = 1.91). CONCLUSION/CONCLUSIONS:Despite increases in age at the time of KT, the absolute risk of perioperative MACEs has remained stable from 2004 to 2013. HF is a major component of postoperative MACEs in KT. Malnutrition and pulmonary hypertension are major nontraditional predictors of perioperative MACE outcomes.

AIMS/OBJECTIVE:To evaluate the safety and efficacy of BioMime™ sirolimus-eluting coronary stent (SES) compared to the XIENCE family everolimus-eluting coronary stent (EES) in the treatment of patients with de novo native coronary artery lesions. METHODS AND RESULTS/RESULTS:The meriT-V is a prospective, multicenter, randomized, open-label, active-controlled, and non-inferiority trial. A total of 256 patients with up to two de novo native coronary artery lesions were enrolled and randomly assigned (2:1) to BioMime SES or XIENCE EES. BioMime SES was non-inferior to XIENCE EES for the primary endpoint of in-stent late lumen loss (0.15±0.27 mm vs. 0.15±0.29 mm; difference: -0.006 mm; 95% confidence interval: -0.085 to 0.072; p=0.87; p for non-inferiority <0.0001) at 9-month follow-up. The major adverse cardiac event rate was numerically lower in BioMime SES group (2.98% vs. 7.14%; p=0.13), driven by a statistically significant lower risk of any myocardial infarction (0.60% vs. 4.76%; p=0.03), when compared with the XIENCE EES group. There was no difference in target vessel myocardial infarction (p=0.62) between the groups. There was no definite or probable stent thrombosis in either group. CONCLUSIONS:In the treatment of de novo native coronary artery lesions, the biodegradable polymer ultra-thin SES (BioMime) was non-inferior to durable polymer EES (XIENCE) at 9-month follow-up. Further studies powered for clinical endpoints are needed.

AIMS/OBJECTIVE:The influence of community acute kidney injury on patients with myocardial infarction has not been explored. The Veterans Affair electronic health system was analyzed to test the hypothesis that patients who have myocardial infarction complicated by community acute kidney injury have higher short- and long-term mortality and cardiovascular outcomes than those who do not suffer acute kidney injury. MATERIALS AND METHODS/METHODS:Odd ratios were calculated for in-hospital mortality. Cox proportional hazard model was used to assess hazard ratios for long-term mortality comparing patients with and without community acute kidney injury. Secondary outcomes included recurrent cardiovascular events including hospitalization for congestive heart failure, stroke, or repeat myocardial infarction. RESULTS:10,689 patients were available for evaluation, 679 had community acute kidney injury and 10,010 with no acute kidney injury. Community acute kidney injury resulted in higher odds for inpatient mortality (odds ratio 5.87, p < 0.001), and adjusted hazard ratio for mortality at 5 years as compared to no acute kidney injury (hazard ratio 1.67, p < 0.001). No differences in cardiovascular outcomes were identified in Cox proportional hazard analysis. CONCLUSION/CONCLUSIONS:In patients with myocardial infarction, community acute kidney injury is associated with delays in or not receiving appropriate myocardial infarction related process of care measures. In addition it is an independent predictor of short- and long-term mortality.
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BACKGROUND:Myocardial infarction (MI) is a multifactorial disease with complex pathogenesis, mainly the result of the interplay of genetic and environmental risk factors. The regulation of thrombosis, inflammation and cholesterol and lipid metabolism are the main factors that have been proposed thus far to be involved in the pathogenesis of MI. Traditional risk-estimation tools depend largely on conventional risk factors but there is a need for identification of novel biochemical and genetic markers. The aim of the study is to identify differentially expressed genes that are consistently associated with the incidence myocardial infarction (MI), which could be potentially incorporated into the traditional cardiovascular diseases risk factors models. METHODS:The biomedical literature and gene expression databases, PubMed and GEO, respectively, were searched following the PRISMA guidelines. The key inclusion criteria were gene expression data derived from case-control studies on MI patients from blood samples. Gene expression datasets regarding the effect of medicinal drugs on MI were excluded. The t-test was applied to gene expression data from case-control studies in MI patients. RESULTS:A total of 162 articles and 174 gene expression datasets were retrieved. Of those a total of 4 gene expression datasets met the inclusion criteria, which contained data on 31,180 loci in 93 MI patients and 89 healthy individuals. Collectively, 626 differentially expressed genes were detected in MI patients as compared to non-affected individuals at an FDR q-value = 0.01. Of those, 88 genes/gene products were interconnected in an interaction network. Totally, 15 genes were identified as hubs of the network. CONCLUSIONS:Functional enrichment analyses revealed that the DEGs and that they are mainly involved in inflammatory/wound healing, RNA processing/transport mechanisms and a yet not fully characterized pathway implicated in RNA transport and nuclear pore proteins. The overlap between the DEGs identified in this study and the genes identified through genetic-association studies is minimal. These data could be useful in future studies on the molecular mechanisms of MI as well as diagnostic and prognostic markers.