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Journal of Clinical Monitoring and Computing

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01-04-2016 | Review Paper

Journal of Clinical Monitoring and Computing 2015 end of year summary: cardiovascular and hemodynamic monitoring

Authors: Karim Bendjelid, Steffen Rex, Thomas Scheeren, Bernd Saugel

Published in: Journal of Clinical Monitoring and Computing | Issue 2/2016

Abstract

Hemodynamic monitoring is essential in critically ill patients. In this regard, the Journal of Clinical Monitoring and Computing (JCMC) has become an ideal platform for publishing cardiovascular and hemodynamic monitoring-related research, as reflected by an increasing number of articles related to this topic and published in the recent years. To highlight this new progress, every New Year the journal prints a descriptive review on some important papers published last year in the JCMC and related to blood, cardiovascular function and hemodynamic monitoring.

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Bendjelid K, Schutz N, Suter PM, Romand JA. Continuous cardiac output monitoring after cardiopulmonary bypass: a comparison with bolus thermodilution measurement. Intensive Care Med. 2006;32(6):919–22. doi:10.1007/s00134-006-0161-2.CrossRefPubMed

10.

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11.

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12.

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13.

Suehiro K, Tanaka K, Yamada T, Matsuura T, Mori T, Funao T, Nishikawa K. The ability of the Vigileo-FloTrac system to measure cardiac output and track cardiac output changes during one-lung ventilation. J Clin Monit Comput. 2015;29(3):333–9. doi:10.1007/s10877-014-9609-z.CrossRefPubMed

14.

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15.

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16.

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17.

Ji F, Li J, Fleming N, Rose D, Liu H. Reliability of a new 4th generation FloTrac algorithm to track cardiac output changes in patients receiving phenylephrine. J Clin Monit Comput. 2015;29(4):467–73. doi:10.1007/s10877-014-9624-0.CrossRefPubMed

18.

Hoiseth LO, Hoff IE, Hagen OA, Landsverk SA, Kirkeboen KA. Agreement between stroke volume measured by oesophageal Doppler and uncalibrated pulse contour analysis during fluid loads in severe aortic stenosis. J Clin Monit Comput. 2015;29(4):435–41. doi:10.1007/s10877-015-9666-y.CrossRefPubMed

19.

Rex S. Anesthesia for transcatheter aortic valve implantation: an update. Curr Opin Anaesthesiol. 2013;26(4):456–66. doi:10.1097/ACO.0b013e3283628d1e.CrossRefPubMed

20.

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21.

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22.

Rex S. Continuous measurement of cardiac output using pulse-contour analysis: truly beat-to-beat? J Clin Monit Comput. 2015;29(3):319–21. doi:10.1007/s10877-014-9640-0.CrossRefPubMed

23.

Saxena R, Krivitski N, Peacock K, Durward A, Simpson JM, Tibby SM. Accuracy of the transpulmonary ultrasound dilution method for detection of small anatomic shunts. J Clin Monit Comput. 2015;29(3):407–14. doi:10.1007/s10877-014-9618-y.CrossRefPubMed

24.

Giraud R, Siegenthaler N, Park C, Beutler S, Bendjelid K. Transpulmonary thermodilution curves for detection of shunt. Intensive Care Med. 2010;36(6):1083–6. doi:10.1007/s00134-010-1876-7.CrossRefPubMed

25.

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26.

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27.

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28.

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29.

Smith AL, Owen H, Reynolds KJ. Can short-term heart rate variability be used to monitor fentanyl-midazolam induced changes in ANS preceding respiratory depression? J Clin Monit Comput. 2015;29(3):393–405. doi:10.1007/s10877-014-9617-z.CrossRefPubMed

30.

Bendjelid K. The pulse oximetry plethysmographic curve revisited. Curr Opin Crit Care. 2008;14(3):348–53. doi:10.1097/MCC.0b013e3282fb2dc9.CrossRefPubMed

31.

Yu Y, Dong J, Xu Z, Shen H, Zheng J. Pleth variability index-directed fluid management in abdominal surgery under combined general and epidural anesthesia. J Clin Monit Comput. 2015;29(1):47–52. doi:10.1007/s10877-014-9567-5.CrossRefPubMed

32.

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33.

Suganthi L, Manivannan M, Kunwar BK, Joseph G, Danda D. Morphological analysis of peripheral arterial signals in Takayasu’s arteritis. J Clin Monit Comput. 2015;29(1):87–95. doi:10.1007/s10877-014-9572-8.CrossRefPubMed

34.

Addison PS, Wang R, Uribe AA, Bergese SD. Increasing signal processing sophistication in the calculation of the respiratory modulation of the photoplethysmogram (DPOP). J Clin Monit Comput. 2015;29(3):363–72. doi:10.1007/s10877-014-9613-3.CrossRefPubMedPubMedCentral

35.

Kang JE, Song IK, Lee JH, Hur M, Kim JT, Kim HS. Pulse transit time shows vascular changes caused by propofol in children. J Clin Monit Comput. 2015;29(4):533–7. doi:10.1007/s10877-015-9680-0.CrossRefPubMed

36.

Chen X, Liu N, Huang Y, Yun F, Wang J, Li J. Using the multi-parameter variability of photoplethysmographic signals to evaluate short-term cardiovascular regulation. J Clin Monit Comput. 2015;29(5):605–12. doi:10.1007/s10877-014-9641-z.CrossRefPubMed

37.

Chuang CC, Ye JJ, Lin WC, Lee KT, Tai YT. Photoplethysmography variability as an alternative approach to obtain heart rate variability information in chronic pain patient. J Clin Monit Comput. 2015;29(6):801–6. doi:10.1007/s10877-015-9669-8.CrossRefPubMed

38.

Danin PE, Siegenthaler N, Levraut J, Bernardin G, Dellamonica J, Bendjelid K. Monitoring CO₂ in shock states. J Clin Monit Comput. 2015;29(5):591–600. doi:10.1007/s10877-014-9638-7.CrossRefPubMed

39.

Kalmar AF, Poterman M, Scheeren TW. Perioperative calibration of noninvasive hemoglobin monitoring. Anesth Analg. 2014;118(2):481. doi:10.1213/ANE.0000000000000032.CrossRefPubMed

40.

Gayat E, Bodin A, Fischler M. Instability in non-invasive haemoglobin measurement: a possible influence of oxygen administration. Acta Anaesthesiol Scand. 2011;55(7):902. doi:10.1111/j.1399-6576.2011.02469.x.CrossRefPubMed

41.

Miller RD, Ward TA, McCulloch CE, Cohen NH. Does a digital regional nerve block improve the accuracy of noninvasive hemoglobin monitoring? J Anesth. 2012;26(6):845–50. doi:10.1007/s00540-012-1452-0.CrossRefPubMed

42.

Yamada H, Saeki M, Ito J, Kawada K, Higurashi A, Funakoshi H, Takeda K. The relative trending accuracy of noninvasive continuous hemoglobin monitoring during hemodialysis in critically ill patients. J Clin Monit Comput. 2015;29(1):107–12. doi:10.1007/s10877-014-9574-6.CrossRefPubMed

43.

Lian Q, Li H, Zeng R, Lang J, Shangguan W, Liu H, Wang B, Rodhe PM, Svensen CH. The use of a noninvasive hemoglobin monitor for determining fluid distribution and elimination in pediatric patients undergoing minor surgery. J Clin Monit Comput. 2015;29(1):41–6. doi:10.1007/s10877-014-9566-6.CrossRefPubMed

44.

Awada WN, Mohmoued MF, Radwan TM, Hussien GZ, Elkady HW. Continuous and noninvasive hemoglobin monitoring reduces red blood cell transfusion during neurosurgery: a prospective cohort study. J Clin Monit Comput. 2015;29(6):733–40. doi:10.1007/s10877-015-9660-4.CrossRefPubMedPubMedCentral

45.

Galvagno SM Jr, Hu P, Yang S, Gao C, Hanna D, Shackelford S, Mackenzie C. Accuracy of continuous noninvasive hemoglobin monitoring for the prediction of blood transfusions in trauma patients. J Clin Monit Comput. 2015;29(6):815–21. doi:10.1007/s10877-015-9671-1.CrossRefPubMed

46.

Kim SH, Lilot M, Murphy LS, Sidhu KS, Yu Z, Rinehart J, Cannesson M. Accuracy of continuous noninvasive hemoglobin monitoring: a systematic review and meta-analysis. Anesth Analg. 2014;119(2):332–46. doi:10.1213/ANE.0000000000000272.CrossRefPubMed

47.

Benes J, Simanova A, Tovarnicka T, Sevcikova S, Kletecka J, Zatloukal J, Pradl R, Chytra I, Kasal E. Continuous non-invasive monitoring improves blood pressure stability in upright position: randomized controlled trial. J Clin Monit Comput. 2015;29(1):11–7. doi:10.1007/s10877-014-9586-2.CrossRefPubMed

48.

Fellahi JL, Brossier D, Dechanet F, Fischer MO, Saplacan V, Gerard JL, Hanouz JL. Early goal-directed therapy based on endotracheal bioimpedance cardiography: a prospective, randomized controlled study in coronary surgery. J Clin Monit Comput. 2015;29(3):351–8. doi:10.1007/s10877-014-9611-5.CrossRefPubMed

49.

Biancofiore G, Cecconi M, Rocca GD. A web-based Italian survey of current trends, habits and beliefs in hemodynamic monitoring and management. J Clin Monit Comput. 2015;29(5):635–42. doi:10.1007/s10877-014-9646-7.CrossRefPubMed

50.

de Waal EE, Rex S, Kruitwagen CL, Kalkman CJ, Buhre WF. Dynamic preload indicators fail to predict fluid responsiveness in open-chest conditions. Crit Care Med. 2009;37(2):510–5. doi:10.1097/CCM.0b013e3181958bf7.CrossRefPubMed

51.

Rex S, Brose S, Metzelder S, Huneke R, Schalte G, Autschbach R, Rossaint R, Buhre W. Prediction of fluid responsiveness in patients during cardiac surgery. Br J Anaesth. 2004;93(6):782–8. doi:10.1093/bja/aeh280.CrossRefPubMed

Title: Journal of Clinical Monitoring and Computing 2015 end of year summary: cardiovascular and hemodynamic monitoring
Authors: Karim Bendjelid
Steffen Rex
Thomas Scheeren
Bernd Saugel
Publication date: 01-04-2016
Publisher: Springer Netherlands
Published in: Journal of Clinical Monitoring and Computing / Issue 2/2016
Print ISSN: 1387-1307
Electronic ISSN: 1573-2614
DOI: https://doi.org/10.1007/s10877-016-9838-4

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Springer Medicine

Journal of Clinical Monitoring and Computing 2015 end of year summary: cardiovascular and hemodynamic monitoring

Abstract

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Abstract

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