Energy Expenditure in Critically Ill Adult Patients With Acute Brain Injury: Indirect Calorimetry vs. Predictive Equations.

Introduction: Predictive equations (PE) are used in lieu of indirect calorimetry (IC) due to cost and limited resources; however, these equations may not be as accurate as IC in estimating resting energy expenditure (REE) in critically ill patients, putting them at risk of malnutrition. The purpose of this study is to compare predicted and measured energy expenditure (MEE) in critically ill adults with acute brain injury. Materials and Methods: This was a retrospective review of adult patients admitted to the Neurosciences ICU with acute brain injury between May 1st, 2014 and April 1st, 2016 who had IC performed. The Harris Benedict (HBE), Penn State University, and Mifflin St Jeor (MSJ) PE were used in comparison to IC results. Subgroup analyses stratified patients based on BMI and type of acute brain injury. Results: One hundred and forty-four patients met inclusion criteria. Comparing predicted and MEE found no significant difference (p = 0.1). High degrees of interpatient variability were discovered, with standard deviations ranging from 17 to 29% of each PE. Pearson's correlations indicated weak associations when HBE, Penn State, and MSJ were individually compared to MEE (r = 0.372, 0.409, and 0.372, respectively). A significant difference was found between predicted and MEE in patients with a BMI < 30 kg/m2 (p < 0.01) and in those with aneurysmal subarachnoid hemorrhage (p < 0.01). Discussion: Due to interpatient variability that exists among REE of critically ill patients with acute brain injury, IC should be used when feasible.

Optimizing Anticoagulation Management Through the Use of a Hospital Engagement Network Metric for Inpatient Anticoagulant-Associated Hemorrhage.

BACKGROUND: The University HealthSystem Consortium (UHC), a national hospital engagement network (HEN), establishes health-system metrics to assess and improve quality of care. In 2012, a metric for inpatient anticoagulant hemorrhage was developed. The utility of this metric to improve anticoagulation care has not been assessed. OBJECTIVE: To identify opportunities to improve anticoagulation safety through the use of a HEN metric for inpatient anticoagulant-associated hemorrhage. METHODS: This was a single-center, retrospective, observational study of metric identified patients with presumed inpatient anticoagulant hemorrhage. Records were reviewed to confirm anticoagulant hemorrhage and identify bleed site and severity. A structured process was used to assess bleed preventability and subsequently identify opportunities for improving care. Each bleed was reviewed by 2 investigators. RESULTS: Anticoagulant hemorrhage was confirmed in 85.9% (61/71) with heparin infusion the most common anticoagulant. Patients were primarily medical, with a mean age of 72.7 ± 15 years. The most common bleed sites were gastrointestinal (24.6%) and retroperitoneal (21.3%). Major bleeding occurred in 60.7% (37/61). Anticoagulant hemorrhage was preventable in 18% (11/61) of cases with heparin protocol noncompliance the most common cause of a preventable bleed. Several opportunities for improving heparin infusion therapy were recognized and protocol changes were implemented. CONCLUSIONS: The UHC metric accurately captures inpatient anticoagulant-associated hemorrhage the majority of time. The UHC metric on anticoagulant-associated hemorrhage can be a useful part of a health system's overall plan for the safe use of anticoagulants in the hospital setting.