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. Accepted for publication June 7, 2018. A. Joosten and C. Boudart contributed equally and share first authorship. Funding: None. Conflicts of Interest: See Disclosures at the end of the article. Supplemental digital content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal's website (https://ift.tt/KegmMq). Registration: Clinicaltrials.gov (NCT02692222). Reprints will not be available from the authors. Address correspondence to Alexandre Joosten, MD, Department of Anesthesiology, Hopital Erasme, 808 Rt de Lennik, 1070 Bruxelles, Brussels, Belgium. Address e-mail to Alexandre.Joosten@erasme.ulb.ac.be. © 2018 International Anesthesia Research Society
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- Meet Our Regional Editor
- Editorial: Advances in Therapies of Cerebellar Dis...
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- Physiological and Morphological Principles Underpi...
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- Clinical Observation of Electroencephalographic Ch...
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- Dermatology Calendar
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- Bullous pemphigoid and diabetes mellitus: Are we m...
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- Comment on: “When does atopic dermatitis warrant s...
- A simple method to facilitate fat removal from ful...
- Dermoscopy for the detection and safe extraction o...
- Dermoscopy is a useful bedside tool for the evalua...
- Correction
- Modernizing regulation of cosmetic products: Reint...
- How data can deliver for dermatology
- Dermatology, climate change, and the perils of att...
- The “dermatologist recommended” label: Is it meani...
- Shortage of lidocaine with epinephrine: Causes and...
- Real-world evidence–What is it and does it matter ...
- Is there a doctor onboard?: The ethical conundrum ...
- Consultative teledermatology in the emergency depa...
- Antibiotic resistance and relevance to general den...
- Testing environmental Kuznets curve hypothesis in ...
- Organic carbon content and humus composition after...
- Application of Escherichia coli antibiotic resista...
- Hypermetabolism in the cerebellum and brainstem an...
- Effects on Eichhornia crassipes under Zn stress
- Retrospective definition of reaction risk in Itali...
- Comparison of clinical outcomes between butterfly ...
- Reply to the Letter to the Editor from Peters et a...
- Association of Tinnitus and Other Cochlear Disorde...
- The Role of Migraine in Hearing and Balance Symptoms.
- Sociodemographic Characteristics and Treatment Res...
- Association of Symptoms and Clinical Findings With...
- Correction to: Extranodal lymphoma arising within ...
- Assessment of seafood contamination under the mari...
- Impact of balloon laryngoplasty on management of a...
- Functional Endoscopic Sinus Surgery of Nasal Polyp...
- Virtual Reality Analgesia in Labor: The VRAIL Pilo...
- In Response
- Frequency of Operative Anesthesia Care After Traum...
- A Systematic Review Evaluating Neuraxial Morphine ...
- Ability of a New Smartphone Pulse Pressure Variati...
- Did ultrasound fulfill the promise of safety in re...
- Traumatic brain injured patients: primum non nocere
- Stratification of neuropathic pain patients: the r...
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