Outcome prediction in out-of-hospital cardiac arrest patients using near-infrared spectroscopy

2016 ◽  
Author(s):  
Eleni Van Dessel
Keyword(s):  
Cardiac Arrest ◽  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Outcome Prediction ◽  
Hospital Cardiac Arrest

Tissue oximetry by near-infrared spectroscopy in a porcine model of out-of-hospital cardiac arrest and resuscitation

Resuscitation ◽  
2013 ◽  
Vol 84 (6) ◽  
pp. 843-847 ◽  
Author(s):  
Joshua C. Reynolds ◽  
David Salcido ◽  
Allison C. Koller ◽  
Matthew L. Sundermann ◽  
Adam Frisch ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Porcine Model ◽  
Hospital Cardiac Arrest ◽  
Tissue Oximetry

Near-infrared spectroscopy monitoring during out-of-hospital cardiac arrest: can the initial cerebral tissue oxygenation index predict ROSC?

2018 ◽  
pp. emermed-2018-207533
Author(s):  
Jumpei Tsukuda ◽  
Shigeki Fujitani ◽  
Kenichiro Morisawa ◽  
Nobuhiko Shimozawa ◽  
Brandon D Lohman ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Tissue Oxygenation ◽  
Oxygenation Index ◽  
Patient Death ◽  
Clinical Factor ◽  
Tissue Oxygenation Index ◽  
Hospital Cardiac Arrest

Study objectivesNear-infrared spectroscopy is a modality that can monitor tissue oxygenation index (TOI) and has potential to evaluate return of spontaneous circulation (ROSC) during cardiopulmonary resuscitation (CPR). This study’s objectives were to evaluate whether TOI could be associated with ROSC and used to help guide the decision to either terminate CPR or proceed to extracorporeal CPR (ECPR).MethodsIn this observational study, we assessed the patients with out-of-hospital cardiac arrest with non-traumatic cause receiving CPR on arrival at our ED between 2013 and 2016. TOI monitoring was discontinued either on CPR termination after ROSC was reached or on patient death. Patients were classified into two groups: ROSC and non-ROSC group.ResultsOut of 141 patients, 24 were excluded and the remaining 117 were classified as follows: ROSC group (n=44) and non-ROSC group (n=73). ROSC group was significantly younger and more likely to have their event witnessed and bystander CPR. ROSC group showed a higher initial TOI than non-ROSC group (60.5%±17.0% vs 37.9%±13.7%: p<0.01). Area under the curve analysis was more accurate with the initial TOI than without it for predicting ROSC (0.88, 95% CI 0.82 to 0.95 vs 0.79, 95% CI 0.70 to 0.87: p<0.01). TOI cut-off value ≥59% appeared to favour survival to hospital discharge whereas TOI ≤24% was associated with non-ROSC.ConclusionsThis study demonstrated an association between higher initial TOI and ROSC. Initial TOI could increase the accuracy of ROSC prognosis and may be a clinical factor in the decision to terminate CPR and select patients who are to proceed to ECPR.

scholarly journals Potential Utility of Near-Infrared Spectroscopy in Out-of-Hospital Cardiac Arrest: An Illustrative Case Series

2012 ◽  
Vol 16 (4) ◽  
pp. 564-570 ◽  
Author(s):  
Adam Frisch ◽  
Brian P. Suffoletto ◽  
Rachel Frank ◽  
Christian Martin-Gill ◽  
James J. Menegazzi
Keyword(s):  
Cardiac Arrest ◽  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Case Series ◽  
Illustrative Case ◽  
Potential Utility ◽  
Hospital Cardiac Arrest

scholarly journals Near-infrared spectroscopy after out-of-hospital cardiac arrest

Critical Care ◽  
2019 ◽  
Vol 23 (1) ◽  
Author(s):  
Pekka Jakkula ◽  
Johanna Hästbacka ◽  
Matti Reinikainen ◽  
Ville Pettilä ◽  
Pekka Loisa ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Hospital Cardiac Arrest

scholarly journals MP32: Paramedics using near-infrared spectroscopy in out-of-hospital cardiac arrest: a feasibility study

CJEM ◽  
2018 ◽  
Vol 20 (S1) ◽  
pp. S52-S52
Author(s):  
I. Drennan ◽  
J. Gilgan ◽  
K. Goncharenko ◽  
S. Lin
Keyword(s):  
Cardiac Arrest ◽  
Infrared Spectroscopy ◽  
Feasibility Study ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Cerebral Oxygenation ◽  
Hospital Setting ◽  
Future Studies ◽  
Data Files ◽  
Hospital Cardiac Arrest

Introduction: Long-term outcomes following out-of-hospital cardiac arrest (OHCA) remain poor. Two-thirds of OHCA patients surviving to hospital admission die from neurological injuries, and of those discharged, one-third have irreversible cognitive disabilities due to cerebral ischemia. Near-infrared spectroscopy (NIRS) is a non-invasive imaging technique which is able to continuously detect regional cerebral oxygenation (rSO2). NIRS monitoring has been used to measure rSO2 during in-hospital cardiac arrest resuscitation. Our study is the first feasibility study of paramedics applying NIRS monitoring during OHCA resuscitation. Methods: One NIRS monitor (Equanox 7600; Nonin, Plymouth, MI, USA) was placed on an Emergency Response Unit (ERU) with York Region Paramedic Services. ERU paramedics were trained to apply the device to patients foreheads during OHCA resuscitation and record rSO2 until arrival at hospital or termination of resuscitation. Paramedics did not alter any aspect of patient care by using the NIRS monitor. They were instructed to press an action marker on the device during ACLS interventions (e.g. defibrillation, intubation, medications, etc). rSO2 data was later downloaded for analysis. Our feasibility criteria was to obtain >70% of data files with rSO2 data and >70% of data files with event markers. Results: Data was collected from 24 OHCA patients over a period of 10 months. 19 cases (79%) files contained rSO2 data and 17 cases (71%) had event markers. The rSO2 data present in each file varied widely from complete recording for the entire call duration to sporadic brief readings. Event markers varied from 1 to 10 markers spaced throughout the cases. Conclusion: This is the first study to demonstrate that the use of NIRS by paramedics as part of OHCA resuscitation is feasible. Future studies are required to determine how rSO2 monitoring can be used to guide OHCA resuscitation. The results of this study will help inform protocols for future studies evaluating the use of NIRS in the out-of-hospital setting.

scholarly journals Monitoring tissue oxygenation index using near‐infrared spectroscopy during pre‐hospital resuscitation among out‐of‐hospital cardiac arrest patients: a pilot study

2021 ◽  
Vol 29 (1) ◽  
Author(s):  
Jumpei Tsukuda ◽  
Shigeki Fujitani ◽  
Mahbubur Rahman ◽  
Kenichiro Morisawa ◽  
Takeshi Kawaguchi ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Tissue Oxygenation ◽  
Hospital Setting ◽  
Oxygenation Index ◽  
Final Analysis ◽  
Tissue Oxygenation Index ◽  
Hospital Cardiac Arrest

Abstract Background Tissue oxygenation index (TOI) using the near infrared spectroscopy (NIRS) has been demonstrated as a useful indicator to predict return of spontaneous circulation (ROSC) among out-of-hospital cardiac arrest (OHCA) patients in hospital setting. However, it has not been widely examined based on pre-hospital setting. Methods In this prospective observational study, we measured TOI in pre-hospital setting among OHCA patients receiving cardio-pulmonary resuscitation (CPR) during ambulance transportation between 2017 and 2018. Throughout the pre-hospital CPR procedure, TOI was continuously measured. The study population was divided into two subgroups: ROSC group and non-ROSC group. Results Of the 81 patients included in the final analysis, 26 achieved ROSC and 55 did not achieve ROSC. Patients in the ROSC group were significantly younger, had higher ∆TOI (changes in TOI) (5.8 % vs. 1.3 %; p < 0.01), and were more likely to have shockable rhythms and event witnessed than patients in the non-ROSC group. ∆TOI cut-off value of 5 % had highest sensitivity (65.4 %) and specificity (89.3 %) for ROSC. Patients with a cut-off value ≤-2.0 % did not achieve ROSC and while all OHCA patient with a cut-off value ≥ 8.0 % achieved ROSC. In addition, ROSC group had stronger positive correlation between mean chest compression rate and ∆TOI (r = 0.82) than non-ROSC group (r = 0.50). Conclusions This study suggests that ∆ TOI could be a useful indicator to predict ROSC in a pre-hospital setting.

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