Abstract 329: Predicting Survival from Out-of-hospital Cardiac Arrest

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_4) ◽  
Author(s):  
Ian Drennan ◽  
Kevin Thorpe ◽  
Sheldon Cheskes ◽  
Muhammad Mamdani ◽  
Damon Scales ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Neurological Outcome ◽  
External Validation ◽  
Predictive Performance ◽  
Roc Curves ◽  
High Rate ◽  
Future Research ◽  
Good Neurological Outcome ◽  
Do Not Resuscitate ◽  
Hospital Cardiac Arrest

Introduction: Prognostication is a significant challenge early in the post-cardiac arrest period. Common prognostic factors for neurological survival are unreliable (high false positive rates) until 72 hours post-cardiac arrest. It is not known whether there are a combination of factors that can be utilized earlier in the post-cardiac arrest period to accurately predict patient outcome. Our objective was to predict neurological outcome utilizing a novel combination of patient factors early in the post-cardiac arrest period. Methods: We conducted a retrospective cohort study using data from our local registry. We included adult patients who obtained a return of spontaneous circulation (ROSC) after out-of-hospital cardiac arrest (OHCA). We excluded patients who did not survive for at least 24 hours post-ROSC and those who had a do not resuscitate (DNR) order within 2 hours of ROSC. We performed an ordinal regression analysis using the proportional odds model to predict neurological outcome (modified rankin score (mRS)). We included a good neurological outcome (mRS 0-2), poor neurological outcome (mRS 3-5), and dead (mRS 6) as an ordinal outcome. We included a number of patient demographics, intra- and post-cardiac arrest factors as covariates in our model. The predictive performance of our model was analyzed using receiver operating characteristic (ROC) curves for discrimination and Brier statistic for calibration. Results: We included 3448 patients in our analysis. We found that an initial shockable rhythm (odds ratio (OR) 4.1; 95% confidence interval (CI) 3.6, 5.4), the absence of pupillary reflexes (OR 3.5; 95% CI 2.4,4.8) and maximum motor score on the Glasgow Coma Scale (GCS) (OR 1.5; 95% CI 1.4,1.6) had the greatest association with improved neurologic outcome. Longer duration of resuscitation was associate with worse outcomes (OR 0.84, 95% CI 0.82,0.87). The overall performance of our model was excellent with an area under the ROC curve of 0.89 and a Brier statistic of 0.13. Conclusion: Our model predicted good neurological outcome with a high rate of accuracy, however external validation of the model is required. This model may be useful to provide risk stratification of patients in clinical practice and future research on post-cardiac arrest care.

scholarly journals LO16: Predicting survival from out-of-hospital cardiac arrest

CJEM ◽  
2020 ◽  
Vol 22 (S1) ◽  
pp. S12-S13
Author(s):  
I. Drennan ◽  
K. Thorpe ◽  
S. Cheskes ◽  
M. Mamdani ◽  
D. Scales ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Neurological Outcome ◽  
External Validation ◽  
Predictive Performance ◽  
Roc Curves ◽  
High Rate ◽  
Future Research ◽  
Good Neurological Outcome ◽  
Do Not Resuscitate ◽  
Hospital Cardiac Arrest

Introduction: Prognostication is a significant challenge early in the post-cardiac arrest period. Common prognostic factors for neurological survival are unreliable (high false positive rates) until 72 hours post-cardiac arrest. It is not known whether there are a combination of factors that can be utilized earlier in the post-cardiac arrest period to accurately predict patient outcome. Our objective was to predict neurological outcome utilizing a novel combination of patient factors early in the post-cardiac arrest period. Methods: We conducted a retrospective cohort study using data from our local cardiac arrest registry. We included adult patients who obtained a return of spontaneous circulation (ROSC) after out-of-hospital cardiac arrest (OHCA). We excluded patients who did not survive for at least 24 hours post-ROSC and those who had a do not resuscitate (DNR) order within 2 hours of ROSC. We performed an ordinal regression analysis using the proportional odds model to predict neurological outcome (modified rankin score (mRS)). We included a good neurological outcome (mRS 0-2), poor neurological outcome (mRS 3-5), and dead (mRS 6) as an ordinal outcome. We included a number of patient demographics, intra- and post-cardiac arrest factors as covariates in our model. The predictive performance of our model was analyzed using receiver operating characteristic (ROC) curves for discrimination and Brier statistic for calibration. Results: We included 3448 patients in our analysis. We found that an initial shockable rhythm (odds ratio (OR) 4.1; 95% confidence interval (CI) 3.6, 5.4), the absence of pupillary reflexes (OR 3.5; 95% CI 2.4,4.8) and maximum motor score on the Glasgow Coma Scale (GCS) (OR 1.5; 95% CI 1.4,1.6) had the greatest association with improved neurologic outcome. Longer duration of resuscitation was associate with worse outcomes (OR 0.84, 95% CI 0.82,0.87). The overall performance of our model was excellent with an area under the ROC curve of 0.89 and a Brier statistic of 0.13. Conclusion: Our model predicted good neurological outcome with a high rate of accuracy, however external validation of the model is required. This model may be useful in providing initial risk stratification of patients in clinical practice and future research on post-cardiac arrest care.

scholarly journals Mechanical circulatory support for refractory out-of-hospital cardiac arrest: a Danish nationwide multicenter study

Critical Care ◽  
2021 ◽  
Vol 25 (1) ◽  
Author(s):  
Sivagowry Rasalingam Mørk ◽  
Carsten Stengaard ◽  
Louise Linde ◽  
Jacob Eifer Møller ◽  
Lisette Okkels Jensen ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Cardiac Arrest ◽  
Survival Rate ◽  
Neurological Outcome ◽  
Mechanical Circulatory Support ◽  
Circulatory Support ◽  
Good Neurological Outcome ◽  
Factors Associated ◽  
National Consensus ◽  
Hospital Cardiac Arrest

Abstract Background Mechanical circulatory support (MCS) with either extracorporeal membrane oxygenation or Impella has shown potential as a salvage therapy for patients with refractory out-of-hospital cardiac arrest (OHCA). The objective of this study was to describe the gradual implementation, survival and adherence to the national consensus with respect to use of MCS for OHCA in Denmark, and to identify factors associated with outcome. Methods This retrospective, observational cohort study included patients receiving MCS for OHCA at all tertiary cardiac arrest centers (n = 4) in Denmark between July 2011 and December 2020. Logistic regression and Kaplan–Meier survival analysis were used to determine association with outcome. Outcome was presented as survival to hospital discharge with good neurological outcome, 30-day survival and predictors of 30-day mortality. Results A total of 259 patients were included in the study. Thirty-day survival was 26%. Sixty-five (25%) survived to hospital discharge and a good neurological outcome (Glasgow–Pittsburgh Cerebral Performance Categories 1–2) was observed in 94% of these patients. Strict adherence to the national consensus showed a 30-day survival rate of 30% compared with 22% in patients violating one or more criteria. Adding criteria to the national consensus such as signs of life during cardiopulmonary resuscitation (CPR), pre-hospital low-flow < 100 min, pH > 6.8 and lactate < 15 mmol/L increased the survival rate to 48%, but would exclude 58% of the survivors from the current cohort. Logistic regression identified asystole (RR 1.36, 95% CI 1.18–1.57), pulseless electrical activity (RR 1.20, 95% CI 1.03–1.41), initial pH < 6.8 (RR 1.28, 95% CI 1.12–1.46) and lactate levels > 15 mmol/L (RR 1.16, 95% CI 1.16–1.53) as factors associated with increased risk of 30-day mortality. Patients presenting signs of life during CPR had reduced risk of 30-day mortality (RR 0.63, 95% CI 0.52–0.76). Conclusions A high survival rate with a good neurological outcome was observed in this Danish population of patients treated with MCS for OHCA. Stringent patient selection for MCS may produce higher survival rates but potentially withholds life-saving treatment in a significant proportion of survivors.

P1706Neurological outcome in patients with out-of-hospital cardiac arrest undergoing a standardised protocol including therapeutic hypothermia and routine coronary angiography

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
M Akin ◽  
V Garcheva ◽  
J T Sieweke ◽  
J Tongers ◽  
L C Napp ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Coronary Angiography ◽  
Therapeutic Hypothermia ◽  
Neurological Outcome ◽  
Life Support ◽  
Neuron Specific Enolase ◽  
Good Neurological Outcome ◽  
Male Predominance ◽  
S 100 ◽  
Hospital Cardiac Arrest

Abstract Purpose To establish cut-offs for neuromarkers such as neuron-specific enolase (NSE) and S-100 predicting good neurological outcome for patients treated with therapeutic hypothermia with out-of-hospital cardiac arrest (OHCA) and return of spontaneous circulation (ROSC) as current cut-offs had been derived from normothermic cohorts. Methods Consecutive data of all patients with OHCA admitted to our institution between 01/2011 and 12/2016 were collected in a database. Patient received standard intensive care according to the Hannover Cardiac Resuscitation Algorithm (HaCRA) including mandatory hypothermia. Neurological markers such as neuron-specific enolase (NSE) and S-100 have been used to assess neurological damage following OHCA. Results Mean age of overall patient population (n=302) was 63±14 [54–74] years with a male predominance (77%). Cardiac arrest was witnessed in 81% and bystander cardiopulmonal resuscitation (CPR) was performed in 67%. Initial rhythm was ventricular fibrillation in 69%. ROSC had been achieved after 24±17 minutes. Hypothermia was applied in all patients. In 95% percutaneous coronary angiography and in 57% of them coronary intervention was performed. After ROSC, STEMI was present in 44%. Mechanical support was required in 19%. 30 day mortality was 44% in the total cohort. Mean NSE was 27±69 μg/l, mean NSE with good neurological outcome was 20±8.7 μg/l, highest NSE with good neurological outcome was 46 μg/l. Mean S-100 was 0.114±2.037μg/l, mean S-100 with good neurological outcome was 0.068±0.067 μg/l, highest S-100 with good neurological outcome was 0.360 μg/l. Conclusion Even when using a strict protocol for OHCA patients and routinely applying therapeutic hypothermia, the cut-offs for NSE and S-100 regarding good neurological outcome are similar to those reported before without therapeutic hypothermia, but they must not be used solitary to withdraw life support as even very high markers can be associated with goof neurological outcome in individual patients.

scholarly journals The association between post resuscitation hemoglobin level and survival with good neurological outcome following Out Of Hospital cardiac arrest

Resuscitation ◽  
2016 ◽  
Vol 99 ◽  
pp. 7-12 ◽  
Author(s):  
Aiham Albaeni ◽  
Shaker M. Eid ◽  
Bolanle Akinyele ◽  
Lekshmi Narayan Kurup ◽  
Dhananjay Vaidya ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Neurological Outcome ◽  
Hemoglobin Level ◽  
Good Neurological Outcome ◽  
Hospital Cardiac Arrest

Delayed head CT in out-of-hospital cardiac arrest survivors: Does this improve predictive performance of neurological outcome?

Resuscitation ◽  
2022 ◽  
Author(s):  
Yong Nam In ◽  
In Ho Lee ◽  
Jung Soo Park ◽  
Da Mi Kim Data acquisition ◽  
Yeonho You Data acquisition ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Neurological Outcome ◽  
Predictive Performance ◽  
Head Ct ◽  
Hospital Cardiac Arrest

Abstract 305: German Resuscitation Registry Influence of Age on Short and Long-Term Outcome After Out-of-Hospital Cardiac Arrest or Should We Resuscitate the Elderly?

Circulation ◽  
2018 ◽  
Vol 138 (Suppl_2) ◽  
Author(s):  
Stephan Seewald ◽  
Jan Wnent ◽  
Barbara Jakisch ◽  
Andreas Bohn ◽  
Matthias Fischer ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Neurological Outcome ◽  
The Elderly ◽  
Good Neurological Outcome ◽  
Term Survival ◽  
Long Term Survival ◽  
Shockable Rhythm ◽  
Short And Long Term ◽  
Hospital Cardiac Arrest

Introduction: Cardiac arrest is a common event and one of the leading causes of death. Especially within the elderly judgment on if the treatment will be in favor of the patient is a major challenge for the medical team. We evaluated the influence of the age on short and long-term survival after out-of- hospital cardiac arrest (OHCA). Hypothesis: Elderly people survive an out-of-hospital cardiac arrest with good neurological outcome. Methods: For this purpose, we analyzed data of 24,686 out-of-hospital cardiac arrest patients prospectively registered between 2008 and 2017 within the German Resuscitation Registry (GRR). The data records were divided according to different age groups and within the age group after shockable and non-shockable rhythms. The data sets were examined with regard to short and long-term survival. Short term survival was measured by expected and observed return-of-spontaneous circulation based on the RACA-score. The RACA-score is a previously published score to predict ROSC based on readily available variables after arrival of the emergency medical service (EMS) on scene. Long-term survival was differentiated in 24-hour survival, 30-day survival and hospital discharge with good neurological outcome (Cerebral Performance Category 1 and 2). Results: (Table 1) Conclusions: Our data shows that shockable rhythm and younger age are important factors of good neurological outcome after OHCA. Nevertheless, the few cases with shockable rhythms (411 out of 3227) in the elderly (>85 years) showed a favorable neurological outcome in 12.2% (77,2% of all patients with hospital discharge). In the non-shockable group 1.4% (58,3%) of the >85 year old had a good outcome. Data show that a resuscitation attempt in the elderly is not futile, especially if a shockable rhythm is detected. Further studies are necessary to maintain this decision.

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