Heart-rate complexity for prediction of prehospital lifesaving interventions in trauma patients

Journal of Trauma - Injury, Infection and Critical Care

Volumn 65, Issue 4, 2008, Pages 813-819

  Cancio, Leopoldo C ^a   Batchinsky, Andriy I ^a   Salinas, José ^a   Kuusela, Tom ^b   Convertino, Victor A ^a   Wade, Charles E ^a   Holcomb, John B ^a  

^a US ARMY INSTITUTE OF SURGICAL RESEARCH   (United States)

^b UNIVERSITY OF TURKU   (Finland)

Author keywords

Electrocardiography; Heart rate; Nonlinear dynamics; Spectrum analysis; Transportation of patients

Indexed keywords

ADULT; ARTICLE; BLOOD PRESSURE; CLINICAL PROTOCOL; CONTROLLED STUDY; DECOMPRESSION; ELECTROCARDIOGRAM; EMERGENCY CARE; EMERGENCY HEALTH SERVICE; FEMALE; GLASGOW COMA SCALE; HEART RATE; HEART RATE VARIABILITY; HELICOPTER; HUMAN; INTUBATION; MAJOR CLINICAL STUDY; MALE; MOTOR ACTIVITY; MOTOR PERFORMANCE; PATIENT TRANSPORT; PNEUMOTHORAX DECOMPRESSION; PREDICTION; PRIORITY JOURNAL; RESUSCITATION; TRACHEOTOMY; URBAN AREA; VITAL SIGN; AIR MEDICAL TRANSPORT; CAUSE OF DEATH; COHORT ANALYSIS; ELECTROCARDIOGRAPHY; FOLLOW UP; HEART ARRHYTHMIA; INJURY; INJURY SCALE; METHODOLOGY; MONITORING; MORTALITY; NONPARAMETRIC TEST; PHYSIOLOGY; PREDICTION AND FORECASTING; PROBABILITY; RETROSPECTIVE STUDY; RISK ASSESSMENT; ROC CURVE; SURVIVAL;

ADULT; AIR AMBULANCES; ARRHYTHMIAS, CARDIAC; CARDIOPULMONARY RESUSCITATION; CAUSE OF DEATH; COHORT STUDIES; ELECTROCARDIOGRAPHY; EMERGENCY MEDICAL SERVICES; FEMALE; FOLLOW-UP STUDIES; HEART RATE; HUMANS; INJURY SEVERITY SCORE; MALE; MONITORING, PHYSIOLOGIC; PREDICTIVE VALUE OF TESTS; PROBABILITY; RETROSPECTIVE STUDIES; RISK ASSESSMENT; ROC CURVE; STATISTICS, NONPARAMETRIC; SURVIVAL ANALYSIS; TRAUMA CENTERS; TRIAGE; WOUNDS AND INJURIES;

EID: 67650609140     PISSN: 00225282     EISSN: 15298809     Source Type: Journal    
DOI: 10.1097/TA.0b013e3181848241     Document Type: Article

References (36)

1. Eastridge BJ, Salinas J, McManus JG, et al. Hypotension begins at 110 mm Hg: redefining "hypotension" with data. J Trauma. 2007; 63:291-299.
2. Holcomb JB, Niles SE, Miller CC, Hinds D, Duke JH, Moore FA. Prehospital physiologic data and lifesaving interventions in trauma patients. Mil Med. 2005;170:7-13.
3. McManus JG, Eastridge BJ, Wade CE, Holcomb JB. Hemorrhage control research on today's battlefield: lessons applied. J Trauma. 2007;62:S14.
4. Holcomb JB, Salinas J, McManus JM, Miller CC, Cooke WH, Convertino VA. Manual vital signs reliably predict need for lifesaving interventions in trauma patients. J Trauma. 2005;59:821-829.
5. Cooke WH, Salinas J, McManus JG, et al. Heart period variability in trauma patients may predict mortality and allow remote triage. Aviat Space Environ Med. 2006;77:1107-1112.
6. Anonymous. Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Circulation. 1996;93:1043-1065.
7. Winchell RJ, Hoyt DB. Spectral analysis of heart rate variability in the ICU: a measure of autonomic function. J Surg Res. 1996;63:11-16.
8. Norris PR, Ozdas A, Cao H, et al. Cardiac uncoupling and heart rate variability stratify ICU patients by mortality: a study of 2088 trauma patients. Ann Surg. 2006;243:804-814.
9. Cooke WH, Salinas J, Convertino VA, et al. Heart rate variability and its association with mortality in prehospital trauma patients. J Trauma. 2006;60:363-370.
10. Goldberger AL, West BJ. Applications of nonlinear dynamics to clinical cardiology. Ann N Y Acad Sci. 1987;504:195-213.
11. Pincus S. Approximate entropy (ApEn) as a complexity measure. Chaos. 1995;5:110-117.
12. Goldberger AL, Amaral LA, Hausdorff JM, Ivanov PCh, Peng CK, Stanley HE. Fractal dynamics in physiology: alterations with disease and aging. Proc Natl Acad Sci U S A. 2002;99:2466-2472.
13. Goldberger AL. Giles F. Filley lecture. Complex systems. Proc Am Thorac Soc. 2006;3:467-471.
14. Richman JS, Moorman JR. Physiological time-series analysis using approximate entropy and sample entropy. Am J Physiol Heart Circ Physiol. 2000;278:H2039-H2049.
15. Batchinsky AI, Cancio LC, Salinas J, et al. Prehospital loss of R-to- R interval complexity is associated with mortality in trauma patients J Trauma. 2007;63:512-518.
16. Batchinsky AI, Cooke WH, Kuusela T, Cancio LC. Loss of complexity characterizes the heart-rate response to experimental hemorrhagic shock in swine. Crit Care Med. 2007;35:519-525.
17. Batchinsky AI, Cooke WH, Kuusela TA, Jordan BS, Wang JJ, Cancio LC. Sympathetic nerve activity and heart rate variability during severe hemorrhagic shock in sheep. Auton Neurosci. 2007; 136:43-51.
18. Batchinsky AI, Wolf SE, Molter N, et al. Assessment of cardiovascular regulation after burns by nonlinear analysis of the electrocardiogram. J Burn Care Res. 2008;29:56-63.
19. Kuusela TA, Jartti TT, Tahvanainen KU, Kaila TJ. Nonlinear methods of biosignal analysis in assessing terbutaline-induced heart rate and blood pressure changes. Am J Physiol Heart Circ Physiol. 2002;282:H773-H783.
20. Pincus SM, Goldberger AL. Physiological time-series analysis: what does regularity quantify? Am J Physiol. 1994;266:H1643-H1656.
21. Batchinsky AI, Kuusela T, Salinas J, et al. Clinical and methodological impact of data size reduction on nonlinear analysis methods of R-to-R interval of the electrocardiogram. J Crit Care. 2007;22:339.
22. Hogue CW Jr, Domitrovich PP, Stein PK, et al. RR interval dynamics before atrial fibrillation in patients after coronary artery bypass graft surgery. Circulation. 1998;98:429-434.
23. Makikallio TH, Ristimae T, Airaksinen KE, Peng CK, Goldberger AL, Huikuri HV. Heart rate dynamics in patients with stable angina pectoris and utility of fractal and complexity measures. Am J Cardiol. 1998;81:27-31.
24. Peng CK, Havlin S, Stanley HE, Goldberger AL. Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series. Chaos. 1995;5:82-87.
25. Ho KK, Moody GB, Peng CK, et al. Predicting survival in heart failure cases and control subjects by use of fully automated methods for deriving nonlinear and conventional indices of heart rate dynamics. Circulation. 1997;96:842-848.
26. Huikuri HV, Makikallio TH, Peng CK, Goldberger AL, Hintze U, Møller M. Fractal correlation properties of R-R interval dynamics and mortality in patients with depressed left ventricular function after an acute myocardial infarction. Circulation. 2000;101:47-53.
27. Tapanainen JM, Thomsen PE, Kober L, et al. Fractal analysis of heart rate variability and mortality after an acute myocardial infarction. Am J Cardiol. 2002;90:347-352.
28. Vikman S, Makikallio TH, Yli-Mayry S, et al. Altered complexity and correlation properties of R-R interval dynamics before the spontaneous onset of paroxysmal atrial fibrillation. Circulation. 1999;100:2079-2084.
29. Zochowski M, Winkowska-Nowak K, Nowak A, Karpinski G., Budaj A. Autocorrelations of R-R distributions as a measure of heart variability. Physical Review E. 1997;76:3725-3727.
30. Akselrod S, Gordon D, Ubel FA, Shannon DC, Berger AC, Cohen RJ. Power spectrum analysis of heart rate fluctuation: a quantitative probe of beat-to-beat cardiovascular control. Science. 1981;213:220- 222.
31. Malliani A, Pagani M, Lombardi F, Cerutti S. Cardiovascular neural regulation explored in the frequency domain. Circulation. 1991; 84:482-492.
32. Butler GC, Yamamoto Y, Hughson RL. Fractal nature of short-term systolic BP and HR variability during lower body negative pressure. Am J Physiol. 1994;267:R26-R33.
33. Goldstein B, Mickelsen D, Want A, Tipton R, Cox C, Woolf PD. Effect of N(G)-nitro-L-arginine methyl ester on autonomic modulation of heart rate variability during hypovolemic shock. Crit Care Med. 1999;27:2239-2245.
34. Cooke WH, Rickards CA, Ryan KL, Convertino VA. Autonomic compensation to simulated hemorrhage monitored with heart period variability. Crit Care Med. 2008;36:1892-1899.
35. Goldstein B, Fiser DH, Kelly MM, Mickelsen D, Ruttimann U, Pollack MM. Decomplexification in critical illness and injury: relationship between heart rate variability, severity of illness, and outcome. Crit Care Med. 1998;26:352-357.
36. Hayano J, Taylor JA, Mukai S, et al. Assessment of frequency shifts in R-R interval variability and respiration with complex demodulation. J Appl Physiol. 1994;77:2879-2888.