Literature DB >> 31094781

Ability of a New Smartphone Pulse Pressure Variation and Cardiac Output Application to Predict Fluid Responsiveness in Patients Undergoing Cardiac Surgery.

Alexandre Joosten1, Céline Boudart1, Jean-Louis Vincent2, Frederic Vanden Eynden3, Luc Barvais1, Luc Van Obbergh1, Joseph Rinehart4, Olivier Desebbe5,6.   

Abstract

BACKGROUND: Pulse pressure variation (PPV) can be used to predict fluid responsiveness in anesthetized patients receiving controlled mechanical ventilation but usually requires dedicated advanced monitoring. Capstesia (Galenic App, Vitoria-Gasteiz, Spain) is a novel smartphone application that calculates PPV and cardiac output (CO) from a picture of the invasive arterial pressure waveform obtained from any monitor screen. The primary objective was to compare the ability of PPV obtained using the Capstesia (PPVCAP) and PPV obtained using a pulse contour analysis monitor (PPVPC) to predict fluid responsiveness. A secondary objective was to assess the agreement and the trending of CO values obtained with the Capstesia (COCAP) against those obtained with the transpulmonary bolus thermodilution method (COTD).
METHODS: We studied 57 mechanically ventilated patients (tidal volume 8 mL/kg, positive end-expiratory pressure 5 mm Hg, respiratory rate adjusted to keep end tidal carbon dioxide [32-36] mm Hg) undergoing elective coronary artery bypass grafting. COTD, COCAP, PPVCAP, and PPVPC were measured before and after infusion of 5 mL/kg of a colloid solution. Fluid responsiveness was defined as an increase in COTD of >10% from baseline. The ability of PPVCAP and PPVPC to predict fluid responsiveness was analyzed using the area under the receiver-operating characteristic curve (AUROC), the agreement between COCAP and COTD using a Bland-Altman analysis and the trending ability of COCAP compared to COTD after volume expansion using a 4-quadrant plot analysis.
RESULTS: Twenty-eight patients were studied before surgical incision and 29 after sternal closure. There was no significant difference in the ability of PPVCAP and PPVPC to predict fluid responsiveness (AUROC 0.74 [95% CI, 0.60-0.84] vs 0.68 [0.54-0.80]; P = .30). A PPVCAP >8.6% predicted fluid responsiveness with a sensitivity of 73% (95% CI, 0.54-0.92) and a specificity of 74% (95% CI, 0.55-0.90), whereas a PPVPC >9.5% predicted fluid responsiveness with a sensitivity of 62% (95% CI, 0.42-0.88) and a specificity of 74% (95% CI, 0.48-0.90). When measured before surgery, PPV predicted fluid responsiveness (AUROC PPVCAP = 0.818 [P = .0001]; PPVPC = 0.794 [P = .0007]) but not when measured after surgery (AUROC PPVCAP = 0.645 [P = .19]; PPVPC = 0.552 [P = .63]). A Bland-Altman analysis of COCAP and COTD showed a mean bias of 0.3 L/min (limits of agreement: -2.8 to 3.3 L/min) and a percentage error of 60%. The concordance rate, corresponding to the proportion of CO values that changed in the same direction with the 2 methods, was poor (71%, 95% CI, 66-77).
CONCLUSIONS: In patients undergoing cardiac surgery, PPVCAP and PPVPC both weakly predict fluid responsiveness. However, COCAP is not a good substitute for COTD and cannot be used to assess fluid responsiveness.

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Year:  2019        PMID: 31094781     DOI: 10.1213/ANE.0000000000003652

Source DB:  PubMed          Journal:  Anesth Analg        ISSN: 0003-2999            Impact factor:   5.108


  5 in total

1.  Pulse pressure variation using a novel smartphone application (Capstesia) versus invasive pulse contour analysis in patients undergoing cardiac surgery: a secondary analysis focusing on clinical decision making.

Authors:  Olivier Desebbe; Jean-Louis Vincent; Bernd Saugel; Joseph Rinehart; Alexandre Joosten
Journal:  J Clin Monit Comput       Date:  2019-03-19       Impact factor: 2.502

2.  Monitoring of pulse pressure variation using a new smartphone application (Capstesia) versus stroke volume variation using an uncalibrated pulse wave analysis monitor: a clinical decision making study during major abdominal surgery.

Authors:  Alexandre Joosten; Alexandra Jacobs; Olivier Desebbe; Jean-Louis Vincent; Saxena Sarah; Joseph Rinehart; Luc Van Obbergh; Alexander Hapfelmeier; Bernd Saugel
Journal:  J Clin Monit Comput       Date:  2019-01-03       Impact factor: 2.502

3.  Estimation of pulse pressure variation and cardiac output in patients having major abdominal surgery: a comparison between a mobile application for snapshot pulse wave analysis and invasive pulse wave analysis.

Authors:  Phillip Hoppe; Fabian Gleibs; Luisa Briesenick; Alexandre Joosten; Bernd Saugel
Journal:  J Clin Monit Comput       Date:  2020-08-04       Impact factor: 2.502

4.  Hemodynamic Monitoring by Smartphone-Preliminary Report from a Comparative Prospective Observational Study.

Authors:  Michał P Pluta; Magdalena Dziech; Mateusz N Zachura; Anna J Szczepańska; Piotr F Czempik; Piotr S Liberski; Łukasz J Krzych
Journal:  J Pers Med       Date:  2022-02-01

5.  Evaluation of a novel optical smartphone blood pressure application: a method comparison study against invasive arterial blood pressure monitoring in intensive care unit patients.

Authors:  Olivier Desebbe; Chbabou Anas; Brenton Alexander; Karim Kouz; Jean-Francois Knebel; Patrick Schoettker; Jacques Creteur; Jean-Louis Vincent; Alexandre Joosten
Journal:  BMC Anesthesiol       Date:  2022-08-15       Impact factor: 2.376

  5 in total

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