Noninvasive hemodynamic monitoring in the emergency department

Current Opinion in Critical Care

Volumn 17, Issue 4, 2011, Pages 342-350

  Middleton, P M ^a   Davies, S R ^a  

^a Greater Sydney Area Helicopter Emergency Medical Service Ambulance Service New South Wales Rescue Helicopter Base Bankstown Airport   (Australia)

Author keywords

electrocardiogram; integrated monitoring systems; near infrared spectroscopy; photoplethysmography; pulse variability; transthoracic bioimpedance; ultrasound

Indexed keywords

ARTICLE; DOPPLER ECHOGRAPHY; ECHOCARDIOGRAPHY; ELECTROCARDIOGRAPHY MONITORING; EMERGENCY WARD; HEART OUTPUT; HEART RATE VARIABILITY; HEMODYNAMIC MONITORING; IMPEDANCE; NEAR INFRARED SPECTROSCOPY; PULSE OXIMETRY;

AUSTRALIA; CARDIAC OUTPUT; ELECTROCARDIOGRAPHY; EMERGENCY SERVICE, HOSPITAL; HEMODYNAMICS; HUMANS; MONITORING, PHYSIOLOGIC; OXIMETRY; RISK ASSESSMENT; SPECTROSCOPY, NEAR-INFRARED; ULTRASONOGRAPHY, DOPPLER;

EID: 79960839969     PISSN: 10705295     EISSN: 15317072     Source Type: Journal    
DOI: 10.1097/MCC.0b013e328348bf9b     Document Type: Article

References (51)

1. Dyson A, Singer M. Tissue oxygen tension monitoring: will it fill the void? Curr Opin Crit Care 2011 [Epub ahead of print].
2. Cairns CB. Rude unhinging of the machinery of life: metabolic approaches to hemorrhagic shock. Curr Opin Crit Care 2001; 7:437.
3. Antonelli M, Levy M, Andrews PJ, et al. Hemodynamic monitoring in shock and implications for management. International Consensus Conference, Paris, France, 27-28 April 2006. Intensive Care Med 2007; 33:575.
4. Middleton PM, Henry J. Pulse oximetry: evolution and directions. Int J Clin Pract 2000; 54:438-444.
5. Wouters PF, Gehring H, Meyfroidt G, et al. Accuracy of pulse oximeters: the European multi-center trial. Anesth Analg 2002; 94:S13-S16. (Pubitemid 34033554)
6. Andrews FJ, Nolan JP. Critical care in the emergency department: monitoring the critically ill patient. Emerg Med J 2006; 23:561-564. (Pubitemid 44295266)
7. McGrath SP, Ryan KL, Wendelken SM, et al. Pulse oximeter plethysmo-graphic waveform changes in awake, spontaneously breathing, hypovolemic volunteers. Anesth Analg 2011; 112:368-374.
8. Marik PE, Cavallazzi R, Vasu T, Hirani A. Dynamic changes in arterial waveform derived variables and fluid responsiveness in mechanically ventilated patients: a systematic review of the literature. Crit Care Med 2009; 37:2642-2647.
9. Michard F, Boussat S, Chemla D, et al. Relation between respiratory changes in arterial pulse pressure and fluid responsiveness in septic patients with acute circulatory failure. Am J Respir Crit Care Med 2000; 162:134-138. (Pubitemid 30469810)
10. Ornstein E, Eidelman LA, Drenger B, et al. Systolic pressure variation predicts the response to acute blood loss. J Clin Anesth 1998; 10:137-140. (Pubitemid 28150619)
11. Cannesson M, Delannoy B, Morand A, et al. Does the pleth variability index indicate the respiratory-induced variation in the plethysmogram and arterial pressure waveforms? Anesth Analg 2008; 106:1189-1194. (Pubitemid 351450544)
12. Keller G, Cassar E, Desebbe O, et al. Ability of pleth variability index to detect hemodynamic changes induced by passive leg raising in spontaneously breathing volunteers. Crit Care 2008; 12:R37.
13. Nitzan M, de Boer H, Turivnenko S, et al. Power spectrum analysis of spontaneous fluctuations in the photoplethysmographic signal. J Basic Clin Physiol Pharmacol 1994; 5:269-276.
14. Bernardi L, Radaelli A, Solda PL, et al. Autonomic control of skin microvessels: assessment by power spectrum of photoplethysmographic waves. Clin Sci 1996; 90:345-355. (Pubitemid 26149403)
15. Middleton PM, Chan GS, O'Lone E, et al. Spectral analysis of finger photoplethysmographic waveform variability in a model of mild to moderate haemorrhage. J Clin Monit Comput 2008; 22:343-353.
16. American College of Surgeons. Shock. In: ATLS instructors manual. Chicago: First Impressions; 1993. pp 75-94.
17. Vincent JL, De Backer D. Microvascular dysfunction as a cause of organ dysfunction in severe sepsis. Crit Care 2005; 9 (Suppl 4):S9-S12. (Pubitemid 41498526)
18. Piepoli M, Garrard CS, Kontoyannis DA, Bernardi L. Autonomic control of the heart and peripheral vessels in human septic shock. Intensive Care Med 1995; 21:112-119.
19. Chan GS, Tang CH, Middleton PM, et al. Augmented photoplethysmographic low frequency waves at the onset of endotoxic shock in rabbits. Physiol Meas 2010; 31:1605-1621.
20. Middleton PM, Tang CH, Chan GS, et al. Peripheral photoplethysmography variability analysis of sepsis patients. Med Biol Eng Comput 2011; 49:337-347.
21. Tang CH, Chan GS, Middleton PM, et al. Spectral analysis of heart period and pulse transit time derived from electrocardiogram and photoplethysmogram in sepsis patients. Conf Proc IEEE Eng Med Biol Soc 2009; 2009:1781-1784.
22. Cancio LC, Batchinsky AI, Salinas J, et al. Heart-rate complexity for prediction of prehospital lifesaving interventions in trauma patients. J Trauma 2008; 65:813-819.
23. King DR, Ogilvie MP, Pereira BMT, et al. Heart rate variability as a triage tool in patients with trauma during prehospital helicopter transport. J Trauma 2009; 67:436-440.
24. Ryan ML, Thorson CM, Otero CA, et al. Clinical applications of heart rate variability in the triage and assessment of traumatically injured patients. Anesthesiol Res Prac 2011; 416590:1-8.
25. De Backer D, Ospina-Tascon G, Salgado D, et al. Monitoring the micro-circulation in the critically ill patient: current methods and future approaches. Intensive Care Med 2010; 36:1813-1825.
26. Beekley AC, Martin MJ, Nelson T, et al. Continuous noninvasive tissue oximetry in the early evaluation of the combat casualty: a prospective study. J Trauma 2010; 69:S14-S25.
27. Adelson PD. Cerebral oximetry in the head-injured patient: is it time for widespread application? Clin Neurosurg 2007; 54:58-63.
28. Poon WS, Wong GKC, Ng SCP. The quantitative time-resolved near infrared spectroscopy (TR-NIRs) for bedside cerebrohemodynamic monitoring after aneurysmal subarachnoid hemorrhage: can we predict delayed neurological deficits? World Neurosurg 2010; 73:465-466.
29. Shoemaker WC, Belzberg H, Wo CCJ, et al. Multicenter study of noninvasive monitoring systems as alternatives to invasive monitoring of acutely III emergency patients. Chest 1998; 114:1643-1652. (Pubitemid 128487488)
30. Reisner AT, Xu D, Ryan KL, et al. Monitoring noninvasive cardiac output and stroke volume during experimental human hypovolaemia and resuscitation. Br J Anaesth 2011; 106:23-30.
31. Moore CL, Copel JA. Point-of-care ultrasonography. N Engl J Med 2011; 364:749-757.
32. Dean AJ, Breyer MJ, Ku BS, et al. Emergency ultrasound usage among recent emergency medicine residency graduates of a convenience sample of 14 residencies. J Emerg Med 2010; 38:214-220.
33. Henderson SO, Ahern T, Williams D, et al. Emergency department ultrasound by nurse practitioners. J Am Acad Nurse Pract 2010; 22:352-355.
34. Nagdev AD, Merchant RC, Tirado-Gonzalez A, et al. Emergency department bedside ultrasonographic measurement of the caval index for noninvasive determination of low central venous pressure. Ann Emerg Med 2010; 55:290-295.
35. Kircher BJ, Himelman RB, Schiller NB. Noninvasive estimation of right atrial pressure from the inspiratory collapse of the inferior vena cava. Am J Cardiol 1990; 66:493-496. (Pubitemid 20259386)
36. Brennan JM, Blair JE, Goonewardena S, et al. A comparison by medicine residents of physical examination versus hand-carried ultrasound for estimation of right atrial pressure. Am J Cardiol 2007; 99:1614-1616. (Pubitemid 46770646)
37. Fields JM, Lee PA, Jenq KY, et al. The interrater reliability of inferior vena cava ultrasound by clinician sonographers in emergency department patients. Acad Emerg Med 2011; 18:98-101.
38. Griffee MJ, Merkel MJ, Wei KS.The role of echocardiography in hemodynamic assessment of septic shock. Crit Care Clin 2010; 365-382.
39. Moore CL, Tham ET, Samuels KJ, et al. Tissue Doppler of early mitral filling correlates with simulated volume loss in healthy subjects. Acad Emerg Med 2010; 17:1162-1168.
40. Nazerian P, Vanni S, Zanobetti M, et al. Diagnostic accuracy of emergency Doppler echocardiography for identification of acute left ventricular heart failure in patients with acute dyspnoea: comparison with Boston criteria and N-terminal prohormone brain natriuretic peptide. Acad Emerg Med 2010; 17:18-26.
41. Nguyen HB, Banta DP, Stewart G, et al. Cardiac index measurement by transcutaneous Doppler ultrasound and transthoracic echocardiography in adult and paediatric emergency patients. J Clin Mon Comp 2010; 24:237-247.
42. Trinkmann F, Doesch C, Papavassiliu T, et al. A novel ultrasonic cardiac output monitor: comparison with cardiac magnetic resonance. Clin Cardiol 2010; 33:E8-E14.
43. Hayhurst C, Lebus C, Atkinson PR, et al. An evaluation of echo in life support (ELS): is it feasible? What does it add? Emerg Med J 2011; 28:119-121.
44. Hravnak M, De Vita MA, Clontz A, et al. Cardiorespiratory instability before and after implementing an integrated monitoring system. Crit Care Med 2011; 39:65-72.
45. Dash S, Shelley KH, Silverman DG, Chon KH. Estimation of respiratory rate from ECG, photoplethysmogram and piezoelectric pulse transducer signals: a comparative study of time-frequency methods. IEEE Trans Biomed Eng 2010; 57:1099-1107.
46. Schreiner C, Catherwood P, Anderson J, McLaughlin J. Blood oxygen level measurement with a chest-based pulse oximetry prototype system. Comp Cardiol 2010; 37:537-540.
47. Colombo J, Shoemaker WC, Belzberg H, et al. Noninvasive monitoring of the autonomic nervous system and hemodynamics of patients with blunt and penetrating trauma. J Trauma 2008; 65:1364-1373.
48. Ohta Y. Pattern recognition and understanding for visual information media. 16th International Conference on Pattern Recognition (ICPR'02) 2002; 1:10536.
49. Tague R, Maeder A, Nguyen QV. Interactive visualisation of time-based vital signs. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol 6454 LNCS, no. Part 2. 2010. pp. 545-553.
50. Ordoñez P, Des Jardins M, Feltes C, et al. Visualizing multivariate time series data to detect specific medical conditions. AMIA Annu Symp Proc 2008: 530-534.
51. Rixen D, Siegel JH, Friedman HP. 'Sepsis/SIRS, ' physiologic classification, severity stratification, relation to cytokine elaboration and outcome prediction in posttrauma critical illness. J Trauma 1996; 41:581-598. (Pubitemid 26346287)