Measurement of capillary refill time with a handheld prototype device: a comparative validation study in healthy volunteers.
Agreement
Capillary refill time
Device
DiCART™
Healthy volunteers
Validation study
Vascular occlusion test
Journal
Journal of clinical monitoring and computing
ISSN: 1573-2614
Titre abrégé: J Clin Monit Comput
Pays: Netherlands
ID NLM: 9806357
Informations de publication
Date de publication:
10 2022
10 2022
Historique:
received:
26
05
2021
accepted:
08
09
2021
pubmed:
23
9
2021
medline:
28
9
2022
entrez:
22
9
2021
Statut:
ppublish
Résumé
Validity and reproducibility of clinical capillary refill time (CRT) measurement depend on many factors in daily routine practice. We conducted a prospective validation study of an automatized handheld prototype device providing standardized CRT assessment (DiCART™) in 20 healthy volunteers. Three different methods of CRT measurement were compared before and during dynamic circulatory changes induced by venous and arterial occlusion tests at both upper and lower limb levels: CRT
Identifiants
pubmed: 34550528
doi: 10.1007/s10877-021-00757-2
pii: 10.1007/s10877-021-00757-2
doi:
Banques de données
ClinicalTrials.gov
['NCT04538612']
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1271-1278Informations de copyright
© 2021. The Author(s), under exclusive licence to Springer Nature B.V.
Références
Dubin A, Henriquez E, Hernández G. Monitoring peripheral perfusion and microcirculation. Curr Opin Crit Care. 2018;24(3):173–80.
doi: 10.1097/MCC.0000000000000495
Ait-Oufella H, Bige N, Boelle PY, Pichereau C, Alves M, Bertinchamp R, et al. Capillary refill time exploration during septic shock. Intensive Care Med. 2014;40(7):958–64.
doi: 10.1007/s00134-014-3326-4
Lima A, Jansen TC, van Bommel J, Ince C, Bakker J. The prognostic value of the subjective assessment of peripheral perfusion in critically ill patients. Crit Care Med. 2009;37(3):934–8.
doi: 10.1097/CCM.0b013e31819869db
van Genderen ME, Engels N, van der Valk RJP, Lima A, Klijn E, Bakker J, et al. Early peripheral perfusion-guided fluid therapy in patients with septic shock. Am J Respir Crit Care Med. 2015;191(4):477–80.
doi: 10.1164/rccm.201408-1575LE
Hernández G, Ospina-Tascón GA, Damiani LP, Estenssoro E, Dubin A, Hurtado J, et al. Effect of a resuscitation strategy targeting peripheral perfusion status vs serum lactate levels on 28-day mortality among patients with septic shock: The andromeda-shock randomized clinical trial. JAMA. 2019;321(7):654–64.
doi: 10.1001/jama.2019.0071
Jacquet-Lagrèze M, Bouhamri N, Portran P, Schweizer R, Baudin F, Lilot M, et al. Capillary refill time variation induced by passive leg raising predicts capillary refill time response to volume expansion. Crit Care. 2019;23(1):281.
doi: 10.1186/s13054-019-2560-0
Cecconi M, De Backer D, Antonelli M, Beale R, Bakker J, Hofer C, et al. Consensus on circulatory shock and hemodynamic monitoring. Task force of the European society of intensive care medicine. Intensive Care Med. 2014;40(12):1795–815.
doi: 10.1007/s00134-014-3525-z
Davis AL, Carcillo JA, Aneja RK, Deymann AJ, Lin JC, Nguyen TC, et al. American college of critical care medicine clinical practice parameters for hemodynamic support of pediatric and neonatal septic shock. Crit Care Med. 2017;45(6):1061.
doi: 10.1097/CCM.0000000000002425
Schriger DL, Baraff L. Defining normal capillary refill: variation with age, sex, and temperature. Ann Emerg Med. 1988;17(9):932–5.
doi: 10.1016/S0196-0644(88)80675-9
Brown LH, Prasad NH, Whitley TW. Adverse lighting condition effects on the assessment of capillary refill. Am J Emerg Med. 1994;12(1):46–7.
doi: 10.1016/0735-6757(94)90196-1
Alsma J, van Saase JLCM, Nanayakkara PWB, Schouten WEMI, Baten A, Bauer MP, et al. The Power of flash mob research. Chest. 2017;151(5):1106–13.
doi: 10.1016/j.chest.2016.11.035
Shinozaki K, Capilupi MJ, Saeki K, Hirahara H, Horie K, Kobayashi N, et al. Low temperature increases capillary blood refill time following mechanical fingertip compression of healthy volunteers: prospective cohort study. J Clin Monit Comput. 2019;33(2):259–67.
doi: 10.1007/s10877-018-0159-7
van Genderen ME, Paauwe J, de Jonge J, van der Valk RJP, Lima A, Bakker J, et al. Clinical assessment of peripheral perfusion to predict postoperative complications after major abdominal surgery early: a prospective observational study in adults. Crit Care Lond Engl. 2014;18(3):R114.
doi: 10.1186/cc13905
Espinoza EDV, Welsh S, Dubin A. Lack of agreement between different observers and methods in the measurement of capillary refill time in healthy volunteers: an observational study. Rev Bras Ter Intensiva. 2014.
Shinozaki K, Saeki K, Jacobson LS, Falotico JM, Li T, Hirahara H, et al. Evaluation of accuracy of capillary refill index with pneumatic fingertip compression. J Clin Monit Comput. 2020;35(1):135–45.
doi: 10.1007/s10877-019-00454-1
Blaxter LL, Morris DE, Crowe JA, Henry C, Hill S, Sharkey D, et al. An automated quasi-continuous capillary refill timing device. Physiol Meas. 2016;37(1):83–99.
doi: 10.1088/0967-3334/37/1/83
John RT, Henricson J, Nilsson GE, Wilhelms D, Anderson CD. Reflectance spectroscopy: to shed new light on the capillary refill test. J Biophoton. 2017.
Sheridan DC, Cloutier R, Kibler A, Hansen ML. Cutting-edge technology for rapid bedside assessment of capillary refill time for early diagnosis and resuscitation of sepsis. Front Med. 2020;7:612303.
doi: 10.3389/fmed.2020.612303
Fellahi J-L, Butin G, Zamparini G, Fischer M-O, Gérard J-L, Hanouz J-L. Lower limb peripheral NIRS parameters during a vascular occlusion test: An experimental study in healthy volunteers. Ann Fr Anesth Réanimation. 2014;33(1):e9-14.
doi: 10.1016/j.annfar.2013.11.014
Obuchowski NA, Bullen JA. Receiver operating characteristic (ROC) curves: review of methods with applications in diagnostic medicine. Phys Med Biol. 2018;63(7):07TR01.
doi: 10.1088/1361-6560/aab4b1
Cecconi M, Rhodes A, Poloniecki J, Della Rocca G, Grounds RM. Bench-to-bedside review: The importance of the precision of the reference technique in method comparison studies – with specific reference to the measurement of cardiac output. Crit Care. 2009;13(1):201.
doi: 10.1186/cc7129
Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet Lond Engl. 1986;1(8476):307–10.
doi: 10.1016/S0140-6736(86)90837-8
Barnhart HX, Haber M, Song J. Overall concordance correlation coefficient for evaluating agreement among multiple observers. Biometrics. 2002;58(4):1020–7.
doi: 10.1111/j.0006-341X.2002.01020.x
Columb MO. Clinical measurement and assessing agreement. Curr Anaesth Crit Care. 2008;19(5–6):328–9.
doi: 10.1016/j.cacc.2008.07.001
Wickham H. ggplot2: elegant graphics for data analysis. 2nd ed. Cham: Springer; 2016.
doi: 10.1007/978-3-319-24277-4
Robin X, Turck N, Hainard A, Tiberti N, Lisacek F, Sanchez J-C, et al. pROC: an open-source package for R and S+ to analyze and compare ROC curves. BMC Bioinform. 2011.
Deepankar Datta (2017) Deepankardatta/Blandr: Version 0.4.1 - Cran Submission Release. Zenodo
Bezemer R, Lima A, Myers D, Klijn E, Heger M, Goedhart PT, et al. Assessment of tissue oxygen saturation during a vascular occlusion test using near-infrared spectroscopy: the role of probe spacing and measurement site studied in healthy volunteers. Crit Care. 2009;13(Suppl 5):S4.
doi: 10.1186/cc8002
Soares RN, Murias JM. Near-infrared spectroscopy assessment of microvasculature detects difference in lower limb vascular responsiveness in obese compared to lean individuals. Microvasc Res. 2018;118:31–5.
doi: 10.1016/j.mvr.2018.01.008
Iannetta D, Inglis EC, Soares RN, McLay KM, Pogliaghi S, Murias JM, et al. Reliability of microvascular responsiveness measures derived from near-infrared spectroscopy across a variety of ischemic periods in young and older individuals. Microvasc Res. 2019;122:117–24.
doi: 10.1016/j.mvr.2018.10.001
McLay KM, Gilbertson JE, Pogliaghi S, Paterson DH, Murias JM. Vascular responsiveness measured by tissue oxygen saturation reperfusion slope is sensitive to different occlusion durations and training status. Exp Physiol. 2016;101(10):1309–18.
doi: 10.1113/EP085843
Mayeur C, Campard S, Richard C, Teboul J-L. Comparison of four different vascular occlusion tests for assessing reactive hyperemia using near-infrared spectroscopy. Crit Care Med. 2011;39(4):695–701.
doi: 10.1097/CCM.0b013e318206d256
Colombo PC, Onat D, Harxhi A, Demmer RT, Hayashi Y, Jelic S, et al. Peripheral venous congestion causes inflammation, neurohormonal, and endothelial cell activation. Eur Heart J. 2014;35(7):448–54.
doi: 10.1093/eurheartj/eht456
Critchley LA, Critchley JA. A meta-analysis of studies using bias and precision statistics to compare cardiac output measurement techniques. J Clin Monit Comput. 1999;15(2):85–91.
doi: 10.1023/A:1009982611386
Partik BL, Stadler A, Schamp S, Koller A, Voracek M, Heinz G, et al. 3D versus 2D ultrasound: accuracy of volume measurement in human cadaver kidneys. Invest Radiol. 2002;37(9):489–95.
doi: 10.1097/00004424-200209000-00003
de Vet HCW, Terwee CB, Knol DL, Bouter LM. When to use agreement versus reliability measures. J Clin Epidemiol. 2006;59(10):1033–9.
doi: 10.1016/j.jclinepi.2005.10.015