Contemporary Outcomes and Predictors of Inpatient Mortality for Infective Endocarditis Occurring in Renal Transplant Recipients in the United States.

Renal transplant (RT) recipients are susceptible to infections because of immunosuppression. The literature regarding the epidemiology and outcomes of infective endocarditis (IE) in RT recipients is limited. We analyzed the National Inpatient Sample in the United States to study IE in RT and identify risk factors for inpatient mortality and IE development in RT patients. All patients ≥18 years who had IE with and without RT between 2007 and 2019 were identified from the National Inpatient Sample. The demographics, co-morbidities, length of stay, hospital costs, and mortality of IE patients with RT were compared with IE patients without RT. Predictors of inpatient mortality for RT recipients with IE were analyzed. Between 2007 and 2019, there were 777,245 hospitalizations for IE, of which 3,782 had RT. The IE in RT cohort was younger than the general IE population and had higher proportions of males, non-White races, and Hispanic ethnicity, and higher burden of co-morbidities, but similar inpatient mortality rates. On multivariate analysis, Staphylococcal IE (adjusted odds ratio [aOR] 2.26, 95% confidence interval [CI] 1.2 to 4.3, p = 0.015), stroke (aOR 6.4, 95% CI 2.7 to 15.3, p <0.001), anemia (aOR 2.3, 95% CI 1.3 to 4.0, p = 0.004), and shock (aOR 6.3, 95% CI 3.3 to 11.9, p <0.001) were associated with greater inpatient mortality, whereas Streptococcal endocarditis (aOR 0.37, 95% CI 0.1 to 0.9, p = 0.038) was associated with lower inpatient mortality. In conclusion, RT patients with IE were younger and had more severe co-morbidities compared with IE patients without RT. Staphylococcal IE, presence of shock and stroke worsened the prognosis in these patients.

Artificial Intelligence in Cardiovascular Medicine: Current Insights and Future Prospects.

Cardiovascular disease (CVD) represents a significant and increasing burden on healthcare systems. Artificial intelligence (AI) is a rapidly evolving transdisciplinary field employing machine learning (ML) techniques, which aim to simulate human intuition to offer cost-effective and scalable solutions to better manage CVD. ML algorithms are increasingly being developed and applied in various facets of cardiovascular medicine, including and not limited to heart failure, electrophysiology, valvular heart disease and coronary artery disease. Within heart failure, AI algorithms can augment diagnostic capabilities and clinical decision-making through automated cardiac measurements. Occult cardiac disease is increasingly being identified using ML from diagnostic data. Improved diagnostic and prognostic capabilities using ML algorithms are enhancing clinical care of patients with valvular heart disease and coronary artery disease. The growth of AI techniques is not without inherent challenges, most important of which is the need for greater external validation through multicenter, prospective clinical trials.

Management of nondysplastic Barrett's esophagus: When to survey? When to ablate?

Barrett's esophagus (BE), a precursor for esophageal adenocarcinoma (EAC), is defined as salmon-colored mucosa extending more than 1 cm proximal to the gastroesophageal junction with histological evidence of intestinal metaplasia. The actual risk of EAC in nondysplastic Barrett's esophagus (NDBE) is low with an annual incidence of 0.3%. The mainstay in the management of NDBE is control of gastroesophageal reflux disease (GERD) along with enrollment in surveillance programs. The current recommendation for surveillance is four-quadrant biopsies every 2 cm (or 1 cm in known or suspected dysplasia) followed by biopsy of mucosal irregularity (nodules, ulcers, or other visible lesions) performed at 3- to 5-year intervals. Challenges to surveillance include missed cancers, suboptimal adherence to surveillance guidelines, and lack of strong evidence for efficacy. There is minimal role for endoscopic eradication therapy in NDBE. The role for enhanced imaging techniques, artificial intelligence, and risk prediction models using clinical data and molecular markers is evolving.

Lower rates of endoscopy and higher mortality in end-stage renal disease patients with gastrointestinal bleeding: A propensity matched national study.

BACKGROUND AND AIM: Patients with end-stage renal disease (ESRD) on hemodialysis are considered to be at higher risk of gastrointestinal bleeding (GIB) as compared with those without renal disease (NRD). We conducted a population-based study using the National Inpatient Sample (NIS) database to study the outcomes of GIB in ESRD. METHODS: Patients admitted with GIB (upper and lower) from 2005 to 2013 were extracted from the NIS database using ICD-9 codes. Patients were divided into NRD and ESRD groups, and a 1:1 propensity matched analysis was performed. Various outcomes were compared in both groups, and subgroup analysis based on the timing of endoscopy was also performed. RESULTS: A total of 218 032 patients were included in the study. There was an increase in inpatient admissions among ESRD patients with GIB with significant reduction in mortality (P < 0.001). In-hospital mortality, length of stay, and total costs were significantly higher in ESRD patients as compared with NRD. ESRD patients were less likely to undergo endoscopic evaluation compared with NRD (P < 0.001). Late endoscopy (> 48 h) was associated with increased need for transfusion and health-care utilization but without a significant difference in mortality as compared with early endoscopy. On multivariate analysis, endoscopy was associated with significantly lower rate of mortality in ESRD patients with GIB (odds ratio 0.28, P < 0.0001). CONCLUSION: End-stage renal disease patients with GIB had a significantly higher rate of mortality and a higher health-care utilization with a lower rate of endoscopic evaluation. Endoscopy was associated with a lower mortality rate on multivariate analysis.

Chemoprevention in Barrett's esophagus and esophageal adenocarcinoma.

There has been a dramatic increase in the incidence of Barrett's esophagus and esophageal adenocarcinoma over the past several decades with a continued rise expected in the future. Several strategies have been developed for screening and surveillance of patients with Barrett's esophagus and endoscopic treatment of Barrett's associated dysplasia and early esophageal cancer; however, they have not made a substantial impact on the incidence of cancer. Herein, chemoprevention becomes an attractive idea for reducing the incidence of cancer in Barrett's patients. Several agents appear promising in preclinical and observational studies but very few have been evaluated in randomized controlled trials. Strongest evidence to date is available for proton-pump inhibitors and Aspirin that have been evaluated in a large randomized controlled trial. Other agents such as statins, metformin, ursodeoxycholic acid, and dietary supplements have insufficient evidence for chemoprevention in Barrett's patients.