评估一种新型的无创连续脉压变异率算法(Evaluationofanovelautomatednoninvasivepulsepressure).pdfVIP

Computers in Biology and Medicine 43 (2013) 1583–1589 Contents lists available at ScienceDirect Computers in Biology and Medicine journal homepage: /locate/cbm Evaluation of a novel automated non-invasive pulse pressure variation algorithm Martin Schmid a, Helga Prettenthaler b, Christian Weger c, Karl-Heinz Smolle b,n a Institute for Medical Engineering, University of Technology Graz, Austria b Department of Internal Medicine and Intensive Care, University Hospital Graz, Austria c Department of Orthopaedic Surgery, University Hospital Graz, Austria a r t i c l e i n f o a b s t r a c t Article history: In mechanically ventilated patients, Pulse Pressure Variation (PPV) has been shown to be a useful Received 13 March 2013 parameter to guide fluid management. We evaluated a real-time automated PPV-algorithm by comparing Accepted 17 July 2013 it to manually calculated PPV-values. In 10 critically ill patients, blood pressure was measured invasively (IBP) and non-invasively (CNAPs Monitor, CNSystems Medizintechnik, Austria). PPV was determined Keywords: manually and compared to automated PPV values: PPVmanIBP vs. PPVautoIBP was 0.19 71.65% (mean Pulse pressure variation bias 7standard deviation), PPVmanCNAP vs. PPVautoCNAP was 1.02 72.03% and PPVautoCNAP vs. PPVmanIBP Fluid management was 2.10 73.14%, suggesting that the automated CNAPs PPV-algorithm works well on