On algorithms for calculating arterial pulse pressure variation during major surgery
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.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2017 |
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Erschienen: |
2017 |
Enthalten in: |
Zur Gesamtaufnahme - volume:38 |
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Enthalten in: |
Physiological measurement - 38(2017), 12 vom: 30. Nov., Seite 2101-2121 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Sun, Shaoxiong [VerfasserIn] |
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Links: |
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Themen: |
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Anmerkungen: |
Date Completed 09.07.2018 Date Revised 10.12.2019 published: Electronic Citation Status MEDLINE |
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doi: |
10.1088/1361-6579/aa95a4 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM277326818 |
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520 | |a 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 | ||
520 | |a 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 | ||
650 | 4 | |a Evaluation Study | |
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700 | 1 | |a Bezemer, Rick |e verfasserin |4 aut | |
700 | 1 | |a Long, Xi |e verfasserin |4 aut | |
700 | 1 | |a Paulussen, Igor |e verfasserin |4 aut | |
700 | 1 | |a Aarts, Ronald M |e verfasserin |4 aut | |
700 | 1 | |a Noordergraaf, Gerrit J |e verfasserin |4 aut | |
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