Evaluation of a novel automated non-invasive pulse pressure variation algorithm

Schmid, Martin; Prettenthaler, Helga; Weger, Christian; Smolle, Karl-Heinz

doi:10.1016/j.compbiomed.2013.07.020

Cited by 4 publications

(3 citation statements)

References 22 publications

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“…The absolute agreement between PPV CNAP and PPV INV was similar compared with previous studies evaluating the measurement performance of PPV CNAP in critically ill patients [22,23] and patients having major open abdominal [24] or vascular surgery [25]. A pilot study in only 10 critically ill patients revealed a mean of the differences between PPV CNAP and arterial catheter-derived manually calculated PPV of −2.1% with 95%-LoA of −8.3 to 4.1% [22]. However, the study also included patients who were ventilated with tidal volumes less than 8 mL kg -1 , which were excluded in our study.…”

Section: Discussionsupporting

confidence: 83%

Non-invasive measurement of pulse pressure variation using a finger-cuff method (CNAP system): a validation study in patients having neurosurgery

Flick

Hoppe

Mehr

et al. 2021

J Clin Monit Comput

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The finger-cuff system CNAP (CNSystems Medizintechnik, Graz, Austria) allows non-invasive automated measurement of pulse pressure variation (PPVCNAP). We sought to validate the PPVCNAP-algorithm and investigate the agreement between PPVCNAP and arterial catheter-derived manually calculated pulse pressure variation (PPVINV). This was a prospective method comparison study in patients having neurosurgery. PPVINV was the reference method. We applied the PPVCNAP-algorithm to arterial catheter-derived blood pressure waveforms (PPVINV−CNAP) and to CNAP finger-cuff-derived blood pressure waveforms (PPVCNAP). To validate the PPVCNAP-algorithm, we compared PPVINV−CNAP to PPVINV. To investigate the clinical performance of PPVCNAP, we compared PPVCNAP to PPVINV. We used Bland–Altman analysis (absolute agreement), Deming regression, concordance, and Cohen's kappa (predictive agreement for three pulse pressure variation categories). We analyzed 360 measurements from 36 patients. The mean of the differences between PPVINV−CNAP and PPVINV was −0.1% (95% limits of agreement (95%-LoA) −2.5 to 2.3%). Deming regression showed a slope of 0.99 (95% confidence interval (95%-CI) 0.91 to 1.06) and intercept of −0.02 (95%-CI −0.52 to 0.47). The predictive agreement between PPVINV−CNAP and PPVINV was 92% and Cohen’s kappa was 0.79. The mean of the differences between PPVCNAP and PPVINV was −1.0% (95%-LoA−6.3 to 4.3%). Deming regression showed a slope of 0.85 (95%-CI 0.78 to 0.91) and intercept of 0.10 (95%-CI −0.34 to 0.55). The predictive agreement between PPVCNAP and PPVINV was 82% and Cohen’s kappa was 0.48. The PPVCNAP-algorithm reliably calculates pulse pressure variation compared to manual offline pulse pressure variation calculation when applied on the same arterial blood pressure waveform. The absolute and predictive agreement between PPVCNAP and PPVINV are moderate.

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Section: Discussionsupporting

confidence: 83%

Non-invasive measurement of pulse pressure variation using a finger-cuff method (CNAP system): a validation study in patients having neurosurgery

Flick

Hoppe

Mehr

et al. 2021

J Clin Monit Comput

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“…19 Pulse pressure variation values are automatically calculated according to the formula above and averaged over three consecutive respiratory swings. 20 In addition, a specific adaptive coefficient filter corrects for abnormally extreme physiological changes in PPV and is applied before the final PPV CNAP value is displayed on the device.…”

Section: Haemodynamic Measurementsmentioning

confidence: 99%

Non-invasive assessment of fluid responsiveness using CNAP™ technology is interchangeable with invasive arterial measurements during major open abdominal surgery

Renner

Gruenewald

Hill

et al. 2017

British Journal of Anaesthesia

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“…연속적 자동 맥압변이의 안전성 및 유효성 평가에 선택된 문헌은 총 20편으로 연구유형은 모두 진단법 평가연구였다 (Table 3) [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25]. [정리: 편집위원회]…”

Section: 체계적 문헌고찰 및 메타분석 결과unclassified

Continuous automatic pulse pressure variation: a systematic review and meta-analysis

Bang

2015

J Korean Med Assoc

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The continuous automatic pulse pressure variation (PPVauto) is a test that continuously and automatically measures the pulse pressure of the patients who need fluid therapy among the general anesthesia patients or artificial respiration patients for whom voluntary breathing is impossible during surgical procedure. The objective of this review is to evaluate the safety and effectiveness of PPVauto. The searches were conducted on eight Korean databases including KoreaMed, Medline, Embase, and Cochrane Library. Seven hundred thirty-seven literatures were searched, and total of 20 studies were included for this review. On the basis of current data, we recommend that PPVauto is safe and effective test for patients who need fluid therapy among the general anesthesia patients or artificial respiration patients for whom voluntary breathing is impossible during surgical procedure.

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Evaluation of a novel automated non-invasive pulse pressure variation algorithm

Cited by 4 publications

References 22 publications

Non-invasive measurement of pulse pressure variation using a finger-cuff method (CNAP system): a validation study in patients having neurosurgery

Non-invasive measurement of pulse pressure variation using a finger-cuff method (CNAP system): a validation study in patients having neurosurgery

Non-invasive assessment of fluid responsiveness using CNAP™ technology is interchangeable with invasive arterial measurements during major open abdominal surgery

Continuous automatic pulse pressure variation: a systematic review and meta-analysis

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