Predictors, burden and impact of cardiac arrhythmias among patients hospitalized with end-stage liver disease.

BACKGROUND: Cirrhotic cardiomyopathy, hyperammonemia, and hepatorenal syndrome predispose to cardiac arrhythmias in End-stage liver disease (ESLD). OBJECTIVES: Among ESLD hospitalizations, we evaluate the distribution and predictors of arrhythmias and their impact on hospitalization outcomes. METHODS: We selected ESLD records from the Nationwide Inpatient Sample (2007-2014), identified concomitant arrhythmias (tachyarrhythmias and bradyarrhythmias), and their demographic and comorbid characteristics, and estimated the effect of arrhythmia on outcomes (SAS 9.4). RESULTS: Of 57,119 ESLD hospitalizations, 6,615 had arrhythmias with higher odds with increasing age, males, jaundice, hepatorenal syndrome, alcohol use, and cardiopulmonary disorders. The most common arrhythmias were atrial fibrillation, cardiac arrest/asystole, and ventricular tachycardia. After propensity-matching (arrhythmia: no-arrhythmia, 6,609:6,609), arrhythmias were associated with 200% higher mortality, 1.7-days longer stay, $32,880 higher cost, and higher rates of shock, respiratory and kidney failures. CONCLUSIONS: Due to worse outcomes with arrhythmias, there is a need for better screening and follow-up of ESLD patients for dysrhythmias.

Inferior Outcomes of Patients With Acute Myocardial Infarction and Comorbid Protein-Energy Malnutrition.

BACKGROUND: Protein-energy malnutrition (PEM) diminishes amino acid and energy availability, impairing the body's healing capability after injury, such as in myocardial damage following acute myocardial infarction (AMI). AIMS: We sought to investigate the influence of PEM on clinical outcomes of AMI. METHODS: We identified records with a primary discharge diagnosis of AMI from the Nationwide Inpatient Sample (2012-2014), stratified by concomitant PEM. We matched PEM to no-PEM (1:1) using a greedy algorithm-based propensity methodology and estimated the impact of PEM on health outcomes (SAS 9.4). RESULTS: Of the 332,644 hospitalizations for AMI, 11,675 had concomitant PEM accounting for roughly $US 1.5 billion and over 119,792 hospital days. PEM was associated with older age (74.43- vs. 66.90-years; P < 0.0001), female sex (49.19% vs. 38.44%; P < 0.0001), black race (12.78% vs. 10.46%; P < 0.0001), and higher comorbidity burden (Deyo > 3: 32.77% vs. 16.69%; P < 0.0001). After propensity matching, PEM was associated with higher mortality (Adjusted odds ratio [AOR]: 1.59 [1.46-1.73]), cardiogenic shock (AOR: 2.26 [2.08-2.44]), discharge to secondary facilities (AOR: 2.21 [2.10-2.33]), charges ($135,500 [$131,956-139,139] vs. $81,084 [$79,241-82,970]), cardiac artery bypass surgery (AOR:1.81 [1.66-1.97]), intra-aortic balloon pump placement (AOR: 1.83 [1.65-2.04]) and longer length of stay (10.15- vs. 5.52-days). CONCLUSIONS: PEM is a predisposing factor for devastating clinical outcomes among AMI hospitalizations. Higher prevention, identification and management of PEM among high-risk individuals (older age, female sex, and black race) residing in the community are needed.

Access to Employee Wellness Programs and Use of Preventive Care Services Among U.S. Adults.

INTRODUCTION: There is little research at the national level on access to employee wellness programs and the use of preventive care services. This study examined the use of seven preventive care services among U.S working adults with access to employee wellness programs. METHODS: The study population comprised 17,699 working adults aged ≥18 years, obtained from the 2015 National Health Interview Survey. Multivariate logistic regression models examined the relationship between access to employee wellness programs and use of seven preventive care services: influenza vaccination, blood pressure check, diabetes check, cholesterol check, Pap smear test, mammogram, and colon cancer screening. Data analysis began in Fall 2016. RESULTS: Overall, 46.6% of working adults reported having access to employee wellness programs in 2015. Working adults with access to employee wellness programs had higher odds of receiving influenza vaccination (OR=1.57, 95% CI=1.43, 1.72, p<0.001), blood pressure check (OR=2.46, 95% CI=2.17, 2.78, p<0.001), diabetes check (OR=1.30, 95% CI=1.12, 1.50, p<0.001), cholesterol check (OR=1.48, 95% CI=1.33, 1.67, p<0.001), and mammogram (OR=1.57, 95% CI=1.24, 1.98, p<0.001). However, there was no significant difference between access to employee wellness programs and the use of Pap smear test and colon cancer screening services. CONCLUSIONS: Using a nationally representative sample of individuals, this study found a positive association between access to employee wellness programs and the use of preventive care services. The results support favorable policies to encourage implementing wellness programs in all worksites, especially those with <50 employees.