On algorithms for calculating arterial pulse pressure variation during major surgery
| Autor: | Gerrit-Jan Noordergraaf, Igor Wilhelmus Franciscus Paulussen, Wouter Herman Peeters, Ronald M. Aarts, Shaoxiong Sun, Xi Long, Rick Bezemer |
|---|---|
| Přispěvatelé: | Signal Processing Systems, Biomedical Diagnostics Lab |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
medicine.medical_specialty
Monitoring Physiology Computer science Fluid responsiveness Biomedical Engineering Biophysics adaptive peak filter Blood Pressure Physiologic/methods 03 medical and health sciences Electrocardiography 0302 clinical medicine Blood Pressure Determination/methods 030202 anesthesiology Robustness (computer science) Physiology (medical) Abdomen medicine fluid responsiveness Humans Monitoring Physiologic Arterial pulse pressure Abdomen/surgery medicine.diagnostic_test Respiration 030208 emergency & critical care medicine Blood Pressure Determination Respiration Artificial major surgery Surgery Pulse pressure baseline extraction Blood pressure Monitoring Physiologic/methods Artificial pulse pressure variation Hemodynamic stability Algorithm Algorithms Abdominal surgery |
| Zdroj: | Physiological Measurement, 38(12), 2101-2121. Institute of Physics |
| ISSN: | 1361-6579 0967-3334 |
| Popis: | Objective: Arterial pulse pressure variation (PPV) is widely used for predicting fluid responsiveness and supporting fluid management in the operating room and intensive care unit. Available PPV algorithms have been typically validated for fluid responsiveness during episodes of hemodynamic stability. Yet, little is known about the performance of PPV algorithms during surgery, where fast changes of the blood pressure may affect the robustness of the presented PPV value. This work provides a comprehensive understanding of how various existing algorithmic designs affect the robustness of the presented PPV value during surgery, and proposes additional processing for the pulse pressure signal before calculating PPV. Approach: We recorded arterial blood pressure waveforms from 23 patients undergoing major abdominal surgery. To evaluate the performance, we designed three clinically relevant metrics. Main results and Significance: The results show that all algorithms performed well during episodes of hemodynamic stability. Moreover, it is demonstrated that the proposed processing helps improve the robustness of PPV during the entire course of surgery. |
| Databáze: | OpenAIRE |
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