Introduction: Pulmonary embolism is a common disorder that often requires extensive diagnostic testing. We hypothesized that an algorithmic approach to diagnosis of pulmonary embolism based upon clinical risk stratification and D-dimer testing would be less costly than a standard approach.
Materials And Methods: We constructed a decision tree based upon two published algorithms for diagnosing acute pulmonary embolism.
Objective: To determine the cost-effectiveness of the newer antiseptic and antibiotic-impregnated central venous catheters (CVCs) relative to uncoated CVCs and to each other.
Design: Decision model analysis of the cost and efficacy of CVCs coated with either chlorhexidine silver sulfadiazine (CSS) or rifampin-minocycline (RM) at preventing catheter-related bloodstream infections (CRBSIs). The primary outcome is the incremental cost (or savings) to prevent one additional CRBSI.