Admission interleukin-6 is associated with post resuscitation organ dysfunction and predicts long-term neurological outcome after out-of-hospital ventricular fibrillation

Resuscitation

Volumn 85, Issue 11, 2014, Pages 1573-1579

  Vaahersalo, Jukka ^a   Skrifvars, Markus B ^a   Pulkki, Kari ^b   Stridsberg, Mats ^c   Røsjø, Helge ^d   Hovilehto, Seppo ^e   Tiainen, Marjaana ^a   Varpula, Tero ^a   Pettilä, Ville ^a   Ruokonen, Esko ^f  

^a HELSINKI UNIVERSITY CENTRAL HOSPITAL   (Finland)

^b UNIVERSITY OF EASTERN FINLAND   (Finland)

^c UPPSALA UNIVERSITY   (Sweden)

^d AKERSHUS UNIVERSITY HOSPITAL   (Norway)

^e South Carelia Hospital   (Finland)

^f KUOPIO UNIVERSITY HOSPITAL   (Finland)

Author keywords

Cardiac arrest; High sensitive C reactive protein; Inflammation; Interleukin 6; Long term neurological outcome; S 100B

Indexed keywords

BIOLOGICAL MARKER; C REACTIVE PROTEIN; INTERLEUKIN 6; PROTEIN S100B; PROTEIN S 100;

ADULT; AGED; APACHE; ARTICLE; BRAIN INJURY; CARDIOVASCULAR MORTALITY; CONTROLLED STUDY; DISEASE ASSOCIATION; FEMALE; HEART VENTRICLE FIBRILLATION; HUMAN; INDUCED HYPOTHERMIA; INFLAMMATION; MAJOR CLINICAL STUDY; MALE; MULTICENTER STUDY; OBSERVATIONAL STUDY; OUT OF HOSPITAL CARDIAC ARREST; OUT OF HOSPITAL VENTRICULAR FIBRILLATION; OUTCOME ASSESSMENT; PROSPECTIVE STUDY; PROTEIN BLOOD LEVEL; RESUSCITATION; RETURN OF SPONTANEOUS CIRCULATION; SEQUENTIAL ORGAN FAILURE ASSESSMENT SCORE; ADVERSE EFFECTS; BLOOD; CLINICAL TRIAL; FINLAND; HOSPITAL ADMISSION; INTENSIVE CARE UNIT; MIDDLE AGED; MORTALITY; MULTIPLE ORGAN FAILURE; MULTIVARIATE ANALYSIS; NERVOUS SYSTEM DISEASES; OUT-OF-HOSPITAL CARDIAC ARREST; PATHOPHYSIOLOGY; PREDICTIVE VALUE; PROCEDURES; PROGNOSIS; RISK ASSESSMENT; STATISTICAL MODEL; SURVIVAL; TIME; TREATMENT OUTCOME; VENTRICULAR FIBRILLATION;

AGED; BIOLOGICAL MARKERS; C-REACTIVE PROTEIN; CARDIOPULMONARY RESUSCITATION; FEMALE; FINLAND; HOSPITAL MORTALITY; HUMANS; INTENSIVE CARE UNITS; INTERLEUKIN-6; LOGISTIC MODELS; MALE; MIDDLE AGED; MULTIPLE ORGAN FAILURE; MULTIVARIATE ANALYSIS; NERVOUS SYSTEM DISEASES; OUT-OF-HOSPITAL CARDIAC ARREST; PATIENT ADMISSION; PREDICTIVE VALUE OF TESTS; PROGNOSIS; PROSPECTIVE STUDIES; RISK ASSESSMENT; S100 PROTEINS; SURVIVAL ANALYSIS; TIME FACTORS; TREATMENT OUTCOME; VENTRICULAR FIBRILLATION;

EID: 84908224164     PISSN: 03009572     EISSN: 18731570     Source Type: Journal    
DOI: 10.1016/j.resuscitation.2014.08.036     Document Type: Article

References (33)

1. Sasson C., Rogers M.A.M., Dahl J., Kellermann A.L. Predictors of survival from out-of-hospital cardiac arrest: a systematic review and meta-analysis. Circ Cardiovasc Qual Outcomes 2010, 3:63-81.
2. Reinikainen M., Oksanen T., Leppänen P., Torppa T., Niskanen M., Kurola J., et al. Mortality in out-of-hospital cardiac arrest patients has decreased in the era of therapeutic hypothermia. Acta Anaesthesiol Scand 2012, 56:110-115.
3. Adrie C., Adib-Conquy M., Laurent I., Monchi M., Vinsonneau C., Fitting C., et al. Successful cardiopulmonary resuscitation after cardiac arrest as a sepsis-like syndrome. Circulation 2002, 106:562-568.
4. Nolan J.P., Neumar R.W., Adrie C., Aibiki M., Berg R.A., Böttiger B.W., et al. Post cardiac arrest syndrome: epidemiology, pathophysiology, treatment and prognostication. A scientific statement from the International Liaison Committee on Resuscitation; the American Heart Association Emergency Cardiovascular Care Committee; the Council on Cardiovascular Surgery and Anesthesia; the Council on Cardiopulmonary, Perioperative, and Critical Care; the Council on Clinical Cardiology; the Council on Stroke. Resuscitation 2008, 79:350-379.
5. Roberts B.W., Kilgannon J.H., Chansky M.E., Mittal N., Wooden J., Parrillo J.E., et al. Multiple organ dysfunction after return of spontaneous circulation in post cardiac arrest syndrome. Crit Care Med 2013, 41:1492-1501.
6. Rivers E.P., Kruse J.A., Jacobsen G., Shah K., Loomba M., Otero R., et al. The influence of early hemodynamic optimization on biomarker patterns of severe sepsis and septic shock. Crit Care Med 2007, 35:2016-2024.
7. Gabay C., Kushner I. Acute-phase proteins and other systemic responses to inflammation. N Engl J Med 1999, 340:448-454.
8. Oda Y., Tsuruta R., Kasaoka S., Inoue T., Maekawa T. The cut-off values of intrathecal interleukin-8 and 6 for predicting the neurological outcome in cardiac arrest victims. Resuscitation 2009, 80:189-193.
9. Samborska-Sablik A., Sablik Z., Gaszynski W. The role of the immuno-inflammatory response in patients after cardiac arrest. Arch Med Sci 2011, 7:619-626.
10. Scolletta S., Donadello K., Santonocito C., Franchi F., Taccone F.S. Biomarkers as predictors of outcome after cardiac arrest. Expert Rev Clin Pharmacol 2012, 5:687-699.
11. Oddo M., Rossetti A.O. Early multimodal outcome prediction after cardiac arrest in patients treated with hypothermia. Crit Care Med 2014, 42:1340-1347.
12. Tiainen M., Roine R.O., Pettilä V., Takkunen O. Serum neuron-specific enolase and S-100B protein in cardiac arrest patients treated with hypothermia. Stroke 2003, 34:2881-2886.
13. Wijdicks E.F.M., Hijdra A., Young G.B., Bassetti C.L., Wiebe S. Quality Standards Subcommittee of the American Academy of Neurology. Practice parameter: prediction of outcome in comatose survivors after cardiopulmonary resuscitation (an evidence-based review): report of the Quality Standards Subcommittee of the American Academy of Neurology. Neurology 2006, 67:203-210.
14. Mörtberg E., Zetterberg H., Nordmark J., Blennow K., Rosengren L., Rubertsson S. S-100B is superior to NSE, BDNF and GFAP in predicting outcome of resuscitation from cardiac arrest with hypothermia treatment. Resuscitation 2011, 82:26-31.
15. Vaahersalo J., Hiltunen P., Tiainen M., Oksanen T., Kaukonen K-M., Kurola J., et al. Therapeutic hypothermia after out-of-hospital cardiac arrest in Finnish intensive care units: the FINNRESUSCI study. Intensive Care Med 2013.
16. Cummins R.O., Chamberlain D.A., Abramson N.S., Allen M., Baskett P.J., Becker L., et al. Recommended guidelines for uniform reporting of data from out-of-hospital cardiac arrest: the Utstein Style. A statement for health professionals from a task force of the American Heart Association, the European Resuscitation Council, the Heart and Stroke Foundation of Canada, and the Australian Resuscitation Council. Circulation 1991, 84:960-975.
17. Vincent J.L., Moreno R., Takala J., Willatts S., De Mendonça A., Bruining H., et al. The SOFA (sepsis-related organ failure assessment) scores to describe organ dysfunction/failure. On behalf of the working group on sepsis-related problems of the European Society of Intensive Care Medicine. Intensive Care Med 1996, 22:707-710.
18. Annborn M., Dankiewicz J., Erlinge D., Hertel S., Rundgren M., Smith J.G., et al. Procalcitonin after cardiac arrest: an indicator of severity of illness, ischemia-reperfusion injury and outcome. Resuscitation 2013, 84:782-787.
19. Girden ER. ANOVA. Repeated measures. n.d.
20. Pencina M.J., D'Agostino R.B., Demler O.V. Novel metrics for evaluating improvement in discrimination: net reclassification and integrated discrimination improvement for normal variables and nested models. Stat Med 2012, 31:101-113.
21. Kundu S., Aulchenko Y.S., van Duijn C.M., Janssens A.C.J.W. PredictABEL: an R package for the assessment of risk prediction models. Eur J Epidemiol 2011, 26:261-264.
22. Osuchowski M.F., Connett J., Welch K., Granger J., Remick D.G. Stratification is the key: inflammatory biomarkers accurately direct immunomodulatory therapy in experimental sepsis. Crit Care Med 2009, 37:1567-1573.
23. Pettilä V., Hynninen M., Takkunen O., Kuusela P., Valtonen M. Predictive value of procalcitonin and interleukin-6 in critically ill patients with suspected sepsis. Intensive Care Med 2002, 28:1220-1225.
24. Fries M., Stoppe C., Brücken D., Rossaint R., Kuhlen R. Influence of mild therapeutic hypothermia on the inflammatory response after successful resuscitation from cardiac arrest. J Crit Care 2009, 24:453-457.
25. Naffaa M., Makhoul B.F., Tobia A., Kaplan M., Aronson D., Azzam Z.S., et al. Procalcitonin and interleukin-6 for predicting blood culture positivity in sepsis. Am J Emerg Med 2014.
26. Jekarl D.W., Lee S-Y., Lee J., Park Y-J., Kim Y., Park J.H., et al. Procalcitonin as a diagnostic marker and IL-6 as a prognostic marker for sepsis. Diagn Microbiol Infect Dis 2013, 75:342-347.
27. Chen S-L., Liu Y., Lin L., Ye F., Zhang J-J., Tian N-L., et al. Interleukin-6, but not C-reactive protein, predicts the occurrence of cardiovascular events after drug-eluting stent for unstable angina. J Interv Cardiol 2014.
28. Kaca-Oryńska M., Tomasiuk R., Friedman A. Neuron-specific enolase and S-100B protein as predictors of outcome in ischaemic stroke. Neurol Neurochir Pol 2010, 44:459-463.
29. Rosén H., Sunnerhagen K.S., Herlitz J., Blomstrand C., Rosengren L. Serum levels of the brain-derived proteins S-100 and NSE predict long-term outcome after cardiac arrest. Resuscitation 2001, 49:183-191.
30. Fugate J.E., Wijdicks E.F.M., Mandrekar J., Claassen D.O., Manno E.M., White R.D., et al. Predictors of neurologic outcome in hypothermia after cardiac arrest. Ann Neurol 2010, 68:907-914.
31. Oksanen T., Tiainen M., Skrifvars M.B., Varpula T., Kuitunen A., Castrén M., et al. Predictive power of serum NSE and OHCA score regarding 6-month neurologic outcome after out-of-hospital ventricular fibrillation and therapeutic hypothermia. Resuscitation 2009, 80:165-170.
32. Zellner T., Gärtner R., Schopohl J., Angstwurm M. NSE and S-100B are not sufficiently predictive of neurologic outcome after therapeutic hypothermia for cardiac arrest. Resuscitation 2013, 84:1382-1386.
33. Keh D., Boehnke T., Weber-Cartens S., Schulz C., Ahlers O., Bercker S., et al. Immunologic and hemodynamic effects of low-dose hydrocortisone in septic shock: a double-blind, randomized, placebo-controlled, crossover study. Am J Respir Crit Care Med 2003, 167:512-520.