Combat casualties undergoing lifesaving interventions have decreased heart rate complexity at multiple time scales

Journal of Critical Care

Volumn 28, Issue 6, 2013, Pages 1093-1098

  Cancio, Leopoldo C ^a   Batchinsky, Andriy I ^a   Baker, William L ^a   Necsoiu, Corina ^a   Salinas, José ^a   Goldberger, Ary L ^b,c   Costa, Madalena D ^b,c  

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

^b HARVARD MEDICAL SCHOOL   (United States)

^c HARVARD UNIVERSITY   (United States)

Author keywords

Electrocardiography; Entropy; Heart rate; Iraq War 2003; Nonlinear dynamics; Wounds and injuries

Indexed keywords

ACUTE DISEASE; ADULT; ARTICLE; BATTLE INJURY; BLOOD TRANSFUSION; BRADYCARDIA; CONTROLLED STUDY; ELECTROCARDIOGRAPHY; EMERGENCY TREATMENT; EMERGENCY WARD; ENDOTRACHEAL INTUBATION; ENTROPY; FEMALE; HEART RATE VARIABILITY; HUMAN; IRAQ; LIFESAVING INTERVENTION; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL COMPUTING; MEDICAL PARAMETERS; MEDICAL PROCEDURES; MULTISCALE ENTROPY INDEX; R WAVE; RR INTERVAL; SAMPLE ENTROPY; SYSTOLIC BLOOD PRESSURE; THORAX DRAINAGE;

ELECTROCARDIOGRAPHY; ENTROPY; HEART RATE; IRAQ WAR 2003; NONLINEAR DYNAMICS; WOUNDS AND INJURIES;

ADULT; BLOOD TRANSFUSION; ELECTROCARDIOGRAPHY; FEMALE; HUMANS; INTUBATION, INTRATRACHEAL; IRAQ WAR, 2003-2011; MALE; MONITORING, PHYSIOLOGIC; THORACOSTOMY; WOUNDS AND INJURIES;

EID: 84887405463     PISSN: 08839441     EISSN: 15578615     Source Type: Journal    
DOI: 10.1016/j.jcrc.2013.08.022     Document Type: Article

References (38)

1. Martin M., Oh J., Currier H., Tai N., Beekley A., Eckert M., et al. An analysis of in-hospital deaths at a modern combat support hospital. J Trauma 2009, 66:S51-S60.
2. Butler F.K. Tactical combat casualty care: update 2009. J Trauma 2010, 69:S10-S13.
3. Pincus S.M., Goldberger A.L. Physiological time-series analysis: what does regularity quantify?. Am J Physiol 1994, 266:H1643-H1656.
4. Richman J.S., Moorman J.R. Physiological time-series analysis using approximate entropy and sample entropy. Am J Physiol Heart Circ Physiol 2000, 278:H2039-H2049.
5. Batchinsky A.I., Cooke W.H., Kuusela T., Cancio L.C. Loss of complexity characterizes the heart rate response to experimental hemorrhagic shock in swine. Crit Care Med 2007, 35:519-525.
6. Batchinsky A.I., Cooke W.H., Kuusela T.A., Jordan B.S., Wang J.J., Cancio L.C. Sympathetic nerve activity and heart rate variability during severe hemorrhagic shock in sheep. Auton Neurosci-Basic Clin 2007, 136:43-51.
7. Batchinsky A.I., Skinner J.E., Necsoiu C., Jordan B.S., Weiss D., Cancio L.C. New measures of heart-rate complexity: effect of chest trauma and hemorrhage. J Trauma 2010, 68:1178-1185.
8. Cancio L.C., Batchinsky A.I., Salinas J., Kuusela T., Convertino V.A., Wade C.E., et al. Heart-rate complexity for prediction of prehospital lifesaving interventions in trauma patients. J Trauma 2008, 65:813-819.
9. Batchinsky A.I., Cancio L.C., Salinas J., Kuusela T., Cooke W.H., Wang J.J., et al. Prehospital loss of R-to-R interval complexity is associated with mortality in trauma patients. J Trauma 2007, 63:512-518.
10. Costa M., Goldberger A.L., Peng C.K. Multiscale entropy analysis of complex physiologic time series. Phys Rev Lett 2002, 89:068102.
11. Costa M., Goldberger A.L., Peng C.K. Multiscale entropy analysis of biological signals. Phys Rev E Stat Nonlin Soft Matter Phys 2005, 71:021906.
12. Voss A., Wessel N., Sander A., Malberg H., Dietz R. Influence of low sampling rate on heart rate variability analysis based on non-linear dynamics. Comput Cardiol 1995, 689-692. IEEE, 1995.
13. Crawford M.H., Bernstein S.J., Deedwania P.C., DiMarco J.P., Ferrick K.J., Garson A., et al. ACC/AHA guidelines for ambulatory electrocardiography. A report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Committee to Revise the Guidelines for Ambulatory Electrocardiography). Developed in collaboration with the North American Society for Pacing and Electrophysiology. J Am Coll Cardiol 1999, 34:912-948.
14. 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.
15. Mietus J.E., Peng C.K., Henry I., Goldsmith R.L., Goldberger A.L. The pNNx files: re-examining a widely used heart rate variability measure. Heart 2002, 88:378-380.
16. Norris P.R., Anderson S.M., Jenkins J.M., Williams A.E., Morris J.A. Heart rate multiscale entropy at three hours predicts hospital mortality in 3,154 trauma patients. Shock 2008, 30:17-22.
17. Lu C.W., Czosnyka M., Shieh J.S., Smielewska A., Pickard J.D., Smielewski P. Complexity of intracranial pressure correlates with outcome after traumatic brain injury. Brain 2012, 135:2399-2408.
18. Raja Beharelle A., Kovačević N., McIntosh A.R., Levine B.A. Brain signal variability relates to stability of behavior after recovery from diffuse brain injury. Neuroimage 2012, 60:1528-1537.
19. Costa M., Ghiran I., Peng C.-K., Nicholson-Weller A., Goldberger A.L. Complex dynamics of human red blood cell flickering: alterations with in vivo aging. Phys Rev E 2008, 78:020901.
20. Leistedt S.J., Linkowski P., Lanquart J.P., Mietus J.E., Davis R.B., Goldberger A.L., et al. Decreased neuroautonomic complexity in men during an acute major depressive episode: analysis of heart rate dynamics. Transl Psychiatry 2011, 1:e27.
21. Sasser S.M., Hunt R.C., Faul M., Sugerman D., Pearson W.S., Dulski T., et al. Guidelines for field triage of injured patients: recommendations of the National Expert Panel on Field Triage, 2011. MMWR Morb Mortal Wkly Rep 2012, 61(RR-1):1-20.
22. Newgard C.D., Zive D., Holmes J.F., Bulger E.M., Staudenmayer K., Liao M., et al. A multisite assessment of the American College of Surgeons Committee on Trauma field triage decision scheme for identifying seriously injured children and adults. J Am Coll Surg 2011, 213:709-721.
23. Haas B., Gomez D., Zagorski B., Stukel T.A., Rubenfeld G.D., Nathens A.B. Survival of the fittest: the hidden cost of undertriage of major trauma. J Am Coll Surg 2010, 211:804-811.
24. Eastridge B.J., Salinas J., McManus J.G., Blackburn L., Bugler E.M., Cooke W.H., et al. Hypotension begins at 110 mm Hg: redefining "hypotension" with data. J Trauma 2007, 63:291-297.
25. Ley E.J., Singer M.B., Clond M.A., Ley H.C., Mirocha J., Bukur M., et al. Admission heart rate is a predictor of mortality. J Trauma Acute Care Surg 2012, 72:943-947.
26. Perel P., Prieto-Merino D., Shakur H., Clayton T., Lecky F., Bouamra O., et al. Predicting early death in patients with traumatic bleeding: development and validation of prognostic model. BMJ 2012, 345.
27. Woodford M.R., Mackenzie C.F., DuBose J., Hu P., Kufera J., Hu E.Z., et al. Continuously recorded oxygen saturation and heart rate during prehospital transport outperform initial measurement in prediction of mortality after trauma. J Trauma 2012, 72:1006-1011.
28. Ouellet J.F., Roberts D.J., Tiruta C., Kirkpatrick A.W., Mercado M., Trottier V., et al. Admission base deficit and lactate levels in Canadian patients with blunt trauma: are they useful markers of mortality?. J Trauma 2012, 72:1532-1535.
29. Vandromme M.J., Griffin R.L., Weinberg J.A., Rue L.W., Kerby J.D. Lactate is a better predictor than systolic blood pressure for determining blood requirement and mortality: could prehospital measures improve trauma triage?. J Am Coll Surg 2010, 210:861-867.
30. Guyette F., Suffoletto B., Castillo J.L., Quintero J., Callaway C., Puyana J.C. Prehospital serum lactate as a predictor of outcomes in trauma patients: a retrospective observational study. J Trauma Injury Infect Crit Care 2011, 70:782-786.
31. Batchinsky A.I., Wolf S.E., Molter N., Kuusela T., Jones J.A., Moraru C., et al. Assessment of cardiovascular regulation after burns by nonlinear analysis of the electrocardiogram. J Burn Care Res 2008, 29:56-63.
32. Batchinsky A.I., Salinas J., Kuusela T., Necsoiu C., Jones J., Cancio L.C. Rapid prediction of trauma patient survival by analysis of heart rate complexity: impact of reducing data set size. Shock 2009, 32:565-571.
33. Norris P.R., Ozdas A., Cao H., Williams A.E., Harrell F.E., Jenkins J.M., et al. Cardiac uncoupling and heart rate variability stratify ICU patients by mortality: a study of 2088 trauma patients. Ann Surg 2006, 243:804-812.
34. Ahmad S., Ramsay T., Huebsch L., Flanagan S., McDiarmid S., Batkin I., et al. Continuous multi-parameter heart rate variability analysis heralds onset of sepsis in adults. PLoS ONE [Electronic Resource] 2009, 4.
35. Moorman J.R., Carlo W.A., Kattwinkel J., Schelonka R.L., Porcelli P.J., Navarrete C.T., et al. Mortality reduction by heart rate characteristic monitoring in very low birth weight neonates: a randomized trial. J Pediatr 2011, 159:900-906.
36. Griffin M.P., Moorman J.R. Toward the early diagnosis of neonatal sepsis and sepsis-like illness using novel heart rate analysis. Pediatrics 2001, 107:97-104.
37. Griffin M.P., Lake D.E., Bissonette E.A., Harrell F.E., O'Shea T.M., Moorman J.R. Heart rate characteristics: novel physiomarkers to predict neonatal infection and death. Pediatrics 2005, 116:1070-1074.
38. Lake D.E., Moorman J.R. Accurate estimation of entropy in very short physiological time series: the problem of atrial fibrillation detection in implanted ventricular devices. Am J Physiol Heart Circ Physiol 2011, 300.