The Role of Clinical Decision Support Tools to Reduce Blood Pressure Variability in Critically Ill Patients Receiving Vasopressor Support

Current monitoring systems for patients receiving vasopressor support generally rely on bedside monitors with audible alarms that are activated when blood pressure declines below pre-established thresholds, which can result in fluctuations that may increase risk of myocardial ischemia. This pilot study evaluated the effects of three bedside monitors on mean arterial blood pressure and percentage of time at mean arterial pressure among critically ill patients. The monitors were the standard display with audible alarm or one of two types of clinical decision support systems including Intellivue Horizon Trends (Philips Healthcare, Andover, MA) and Horizon Trends and ST Map (Philips Healthcare). Patients in the two groups monitored with Horizon Trends had significantly higher mean arterial pressure (72.8 ± 7.0 mm Hg) compared with those monitored with the standard monitor (68.1 ± 6.8 mm Hg; P= .004). Patients monitored with Horizon Trends also spent a significantly higher percentage of time within their target mean arterial pressure range compared with those in the standard monitor group (P = .031). These findings suggest that further study is needed to assess the impact of clinical decision support tools on management of blood pressure variability in critically ill patients receiving vasopressor therapy.

[1]  Alastair Baker,et al.  Crossing the Quality Chasm: A New Health System for the 21st Century , 2001, BMJ : British Medical Journal.

[2]  Donald M. Berwick,et al.  Connections Between Quality Measurement and Improvement , 2003, Medical care.

[3]  R. Califf,et al.  Practice Standards for Electrocardiographic Monitoring in Hospital Settings: An American Heart Association Scientific Statement From the Councils on Cardiovascular Nursing, Clinical Cardiology, and Cardiovascular Disease in the Young , 2004, Circulation.

[4]  Richard N. Shiffman,et al.  Review: Computer-based Guideline Implementation Systems: A Systematic Review of Functionality and Effectiveness , 1999, J. Am. Medical Informatics Assoc..

[5]  D. Levy,et al.  Is pulse pressure useful in predicting risk for coronary heart Disease? The Framingham heart study. , 1999, Circulation.

[6]  S. Boren,et al.  The use and effectiveness of electronic clinical decision support tools in the ambulatory/primary care setting: a systematic review of the literature. , 2008, Informatics in primary care.

[7]  R. Haynes,et al.  Effects of computer-based clinical decision support systems on physician performance and patient outcomes: a systematic review. , 1998, JAMA.

[8]  C. Natanson,et al.  Systemic hemodynamic abnormalities and vasopressor therapy in sepsis and septic shock. , 1992, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[9]  P. Deedwania,et al.  Pathophysiology of silent myocardial ischemia during daily life. Hemodynamic evaluation by simultaneous electrocardiographic and blood pressure monitoring. , 1990, Circulation.

[10]  G. Beilman,et al.  Moderately elevated serum troponin concentrations are associated with increased morbidity and mortality rates in surgical intensive care unit patients , 2003, Critical care medicine.

[11]  E. Balas,et al.  Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success , 2005, BMJ : British Medical Journal.

[12]  D. Levy,et al.  Single Versus Combined Blood Pressure Components and Risk for Cardiovascular Disease: The Framingham Heart Study , 2009, Circulation.

[13]  J. Sear,et al.  Impact of prolonged elevated heart rate on incidence of major cardiac events in critically ill patients with a high risk of cardiac complications* , 2005, Critical care medicine.

[14]  G. Head The sympathetic nervous system in hypertension: assessment by blood pressure variability and ganglionic blockade. , 2003, Journal of hypertension.

[15]  H. Mcdonald,et al.  Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. , 2005, JAMA.