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Monitoring tissue perfusion: a pilot clinical feasibility and safety study of a urethral photoplethysmography-derived perfusion device in high-risk patients

  • François DépretEmail author
  • Marc Leone
  • Gary Duclos
  • Emmanuel Futier
  • Maxime Montagne
  • Matthieu Legrand
  • Bernard Allaouchiche
Original Research

Abstract

Continuous monitoring of tissue perfusion in patients with hemodynamic instability remains challenging because of the lack of tools available. Through using urethral photoplethysmography, the urethral perfusion index (uPI) could allow tissue perfusion monitoring through a modified urinary catheter. The first objective of our study was to evaluate the feasibility and safety of the IKORUS UP (Advanced Perfusion Diagnostics, Villeurbanne, France), a new device in the field. The secondary objectives were to evaluate the performance (duration and signal quality) of the IKORUS UP probe and to assess the uPI variations during hemodynamic events during major abdominal surgery. “STEP UP” was a prospective, multicenter, observational study. The inclusion criteria were age 18 years or older with signed informed consent and admitted to intensive care unit (ICU) with hemodynamic instability or high-risk surgical patient. Thirty patients were included in the study, 26 in the operating room, and four in the ICU. Of these patients, 28 were analyzed. For the primary outcome, six (21%) patients had pain scores assessed at insertion of and 22 (79%) at withdrawal of the catheter. The mean EVA score was 1.5 (IQ 1–2) and 0.7 (IQ 0–1), respectively, with the highest score being 3. One (4%) minor urethral bleeding and one (4%) catheter-associated urinary tract infection were reported. The IKORUS UP probe remained in the urethra for an average of 172 h (IQ40–328). The median signal measurement time was 33 h (IQ 5.2–46). The signal quality was recorded as good or excellent for 99% (IQ 82–100) of the insertion duration. The signal quality index was 93% (IQ 87–96) with a signal-to-noise ratio of 26 (IQ 21–36). We observed clinically relevant variations in the uPI over time during hemodynamic events or therapeutic interventions, with a strong cross-correlation with macrohemodynamic variables in some patients, while others did not display macrohemodynamic changes. The IKORUS UP probe was well tolerated and allowed urethral perfusion monitoring. Clinically relevant changes in tissue perfusion could be recorded during the observational period. Trial Registration: (www.clinicaltrials.gov NCT03410069) registered January 25, 2018.

Keywords

Microcirculation Intensive care Urethral perfusion Perfusion index Hemodynamics Cardiac index 

Abbreviations

ICU

Intensive care unit

BMI

Body mass index

SV

Stroke volume

IQ

Interquartile

cvAUC

Area under the receiver operating characteristics curve

RRT

Renal replacement therapy

PI

Perfusion index

uPI

Urethral perfusion index

Notes

Author contributions

FD collected data, performed the analysis and interpretation of the data, and drafted the manuscript. ML collected data, performed the analysis and interpretation of the data, and drafted the manuscript. GD collected data, performed the analysis and interpretation of the data, and drafted the manuscript. EF collected data, performed the analysis and interpretation of the data, and drafted the manuscript. MM collected data, performed the analysis and interpretation of the data, and drafted the manuscript. ML collected data, performed the analysis and interpretation of the data, and drafted the manuscript.BA designed the study, collected data, performed the analysis and interpretation of the data, and drafted the manuscript. All authors read and approved the final manuscript.

Funding

The project was carried out with the support of the Société Française d’Anesthésie Réanimation research contract SFAR 2018.

Compliance with ethical standards

Conflict of interest

FDépret: research grants from the French Ministry of Health and SFAR (société française d’anesthésie réanimation). M Leone: MSD, Pfizer, Octapharma, Aspen, Orion (Lecturer) Aguettant, Amomed (Consultant). Gary Duclos: nothing to declare. Emmanuel Futier: research grants from the French Ministry of Health, consulting fees from Drager Medical, General Electric Healthcare, Edwards Lifesciences, and Orion Pharma, along with lecture fees from Fesenius Kabi, Fisher and Paykel Healthcare, and Getinge. Maxime Montagne: nothing to declare. Matthieu Legrand: research grants from the French Ministry of Health, research support from Sphingotec, lecture fees from Baxter and Fresenius, consulting fees from Novartis. Bernard Allaouchiche: Consulting fees from APD. Consultant for APPD.

Ethical approval

All patients signed an informed consent, and the study was approved by favorable opinion from an ethics committee (CPP Ouest V); the study was registered on the website www.clinicaltrials.gov under the identifier NCT03410069 and recorded under the ID-RCB number: 2017-A03466-47.

Supplementary material

10877_2019_414_MOESM1_ESM.jpg (24 kb)
Supplementary material 1 (JPEG 24 kb). Supplementary data Fig. 1: Patient repartition depending on the proportion correlation time between the SV and uPI. SV: stroke volume
10877_2019_414_MOESM2_ESM.jpg (65 kb)
Supplementary material 2 (JPEG 65 kb). Supplementary data Fig. 2: Panel A (upper panel): IKORUS Perfusion Monitor. Panel B (middle panel): UP-distal probe variant, Panel C (lower panel): UP-proximal probe variant, The body of the probe (1), PPG sensor (2) and connector (3)
10877_2019_414_MOESM3_ESM.png (153 kb)
Supplementary material 3 (PNG 152 kb). Supplementary data Fig. 3: Example of a patient with a high correlation between the uPI and SV. uPI: urethral perfusion index; SVI: stroke volume indexed. Patient no 205 was a 60-year-old female with history of caustic ingestion one month before surgery. She was admitted to the OR for coloplasty because of esophagus stenosis. Invasive arterial pressure and cardiac output were recorded with EV1000 Flotrac system (Edwards Life Science, Irvine, California, United States). We observed a positive correlation between the uPI and SV (uPI = -4.4 + 0.3 × SVI, r2 = 0.84)
10877_2019_414_MOESM4_ESM.png (114 kb)
Supplementary material 4 (PNG 114 kb). Supplementary data Fig. 4: Examples of a patient with a high positive correlation between the uPI and MAP. Patient no 105 was a 61-year-old female with no noticeable medical history except an ovarian carcinoma with peritoneal carcinosis. She was admitted to the operative room for a cytoreduction plus intraperitoneal chemotherapy. Invasive arterial pressure and cardiac output were recorded with EV1000 Flotrac system (Edwards Life Science, Irvine, California, United States). In this case, we observed a positive correlation between the MAP and uPI (uPI = -0.22 + 0.044 x MAP, r2 = 0.966). uPI: urethral perfusion index; MAP: mean arterial pressure; SVI: stroke volume indexed
10877_2019_414_MOESM5_ESM.png (106 kb)
Supplementary material 5 (PNG 106 kb). Supplementary data Fig. 5: Example of a patient with a high negative correlation between the uPI and MAP. Patient no 403 was a 63-year-old female with a history of hypertension, obesity, and peritoneal pseudomyxoma. She was admitted in the OR for a surgery of cytoreduction plus intraperitoneal chemotherapy. In this case, we observed a negative correlation between the MAP and uPI (PI = 35 + -0.28 x MAP, r2 = 0.77). uPI: urethral perfusion index; MAP: mean arterial pressure; SVI: stroke volume indexed

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Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  • François Dépret
    • 1
    • 2
    • 3
    Email author
  • Marc Leone
    • 4
  • Gary Duclos
    • 4
  • Emmanuel Futier
    • 5
  • Maxime Montagne
    • 6
    • 7
  • Matthieu Legrand
    • 8
  • Bernard Allaouchiche
    • 6
    • 7
    • 9
  1. 1.Department of Anesthesiology and Critical Care and Burn UnitAP-HP, GH St-Louis-LariboisièreParisFrance
  2. 2.Paris Diderot University of ParisParisFrance
  3. 3.UMR INSERM 942, Institut National de la Santé et de la Recherche Médicale (INSERM), F-CRIN INICRCT NetworkParisFrance
  4. 4.Department of Anesthesiology and Intensive Care, Hôpital Nord, Assistance Publique Hôpitaux de MarseilleAix Marseille UniversitéMarseilleFrance
  5. 5.Centre Hospitalier Universitaire (CHU) Clermont-Ferrand, Département Anesthésie et Réanimation, Hôpital Estaing, and Université Clermont Auvergne, CNRS, InsermClermont-FerrandFrance
  6. 6.CHU Hospices Civils de Lyon, Centre Hospitalier Lyon-Sud, Service de RéanimationPierre-BéniteFrance
  7. 7.Université Claude BernardLyon1France
  8. 8.Department of Anesthesiology and Perioperative CareUCSFSan FranciscoUSA
  9. 9.VetAgro Sup, Campus Vétérinaire de Lyon, UPSP 2016.A101, Pulmonary and Cardiovascular Agression in SepsisUniversité de LyonMarcy l’ÉtoileFrance

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