<abstract xmlns="http://www.w3.org/1999/xhtml"><sec id="j_jccm-2020-0006_s_007_w2aab2b8c19b1b7b1aab1c15b1Aa"><h3>Introduction</h3><p>Recovered Out-of-Hospital Cardiac Arrest (rOHCA) population is heterogenous. Few studies focused on outcomes in the rOHCA subgroup with proven significant coronary artery disease (SigCAD). We aimed to characterize this subgroup and study the determinants of in-hospital mortality.</p></sec><sec id="j_jccm-2020-0006_s_008_w2aab2b8c19b1b7b1aab1c15b2Aa"><h3>Methods</h3><p>Retrospective study of consecutive rOHCA patients submitted to coronary angiography. Only patients with SigCAD were included.</p></sec><sec id="j_jccm-2020-0006_s_009_w2aab2b8c19b1b7b1aab1c15b3Aa"><h3>Results</h3><p>60 patients were studied, 85% were male, mean age was 62.6 ± 12.1 years. In-hospital mortality rate was 43.3%. Patients with diabetes and history of stroke were less likely to survive. Significant univariate predictors of in-hospital mortality were further analysed separately, according to whether they were present at hospital admission or developed during hospital evolution. At hospital admission, initial non-shockable rhythm, low-flow time>12min, pH&lt;7.25mmol/L and lactates >4.75mmol/L were the most relevant predictors and therefore included in a score tested by Kaplan-Meyer. Patients who had 0/4 criteria had 100% chance of survival till hospital discharge, 1/4 had 77%, 2/4 had 50%, 3/4 had 25%. Patients with all 4 criteria had 0% survival. During in-hospital evolution, a pH&lt;7.35 at 24h, lactates>2mmol/L at 24h, anoxic brain injury and persistent hemodynamic instability proved significant. Patients who had 0/4 of these in-hospital criteria had 100% chance of survival till hospital discharge, 1/4 had 94%, 2/4 had 47%, 3/4 had 25%. Patients with all 4 criteria had 0% survival. Contrarily, CAD severity and ventricular dysfunction didn’t significantly correlate to the outcome.</p></sec><sec id="j_jccm-2020-0006_s_010_w2aab2b8c19b1b7b1aab1c15b4Aa"><h3>Conclusion</h3><p>Classic prehospital variables retain their value in predicting mortality in the specific group of OHCA with SigCAD. In-hospital evolution variables proved to add value in mortality prediction. Combining these simple variables in risk scores might help refining prognostic prediction in these patients’s subset.</p></sec></abstract>

IntroductionRecovered Out-of-Hospital Cardiac Arrest (rOHCA) population is heterogenous. Few studies focused on outcomes in the rOHCA subgroup with proven significant coronary artery disease (SigCAD). We aimed to characterize this subgroup and study the determinants of in-hospital mortality.MethodsRetrospective study of consecutive rOHCA patients submitted to coronary angiography. Only patients with SigCAD were included.Results60 patients were studied, 85% were male, mean age was 62.6 ± 12.1 years. In-hospital mortality rate was 43.3%. Patients with diabetes and history of stroke were less likely to survive. Significant univariate predictors of in-hospital mortality were further analysed separately, according to whether they were present at hospital admission or developed during hospital evolution. At hospital admission, initial non-shockable rhythm, low-flow time>12min, pH<7.25mmol/L and lactates >4.75mmol/L were the most relevant predictors and therefore included in a score tested by Kaplan-Meyer. Patients who had 0/4 criteria had 100% chance of survival till hospital discharge, 1/4 had 77%, 2/4 had 50%, 3/4 had 25%. Patients with all 4 criteria had 0% survival. During in-hospital evolution, a pH<7.35 at 24h, lactates>2mmol/L at 24h, anoxic brain injury and persistent hemodynamic instability proved significant. Patients who had 0/4 of these in-hospital criteria had 100% chance of survival till hospital discharge, 1/4 had 94%, 2/4 had 47%, 3/4 had 25%. Patients with all 4 criteria had 0% survival. Contrarily, CAD severity and ventricular dysfunction didn’t significantly correlate to the outcome.ConclusionClassic prehospital variables retain their value in predicting mortality in the specific group of OHCA with SigCAD. In-hospital evolution variables proved to add value in mortality prediction. Combining these simple variables in risk scores might help refining prognostic prediction in these patients’s subset.

Predictors of In-Hospital Mortality after Recovered Out-of-Hospital Cardiac Arrest in Patients with Proven Significant Coronary Artery Disease: A Retrospective Study

The Journal of Critical Care Medicine

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

IntroductionRecovered Out-of-Hospital Cardiac Arrest (rOHCA) population is heterogenous. Few studies focused on outcomes in the rOHCA subgroup with proven significant coronary artery disease (SigCAD). We aimed to characterize this subgroup and study the determinants of in-hospital mortality.MethodsRetrospective study of consecutive rOHCA patients submitted to coronary angiography. Only patients with SigCAD were included.Results60 patients were studied, 85% were male, mean age was 62.6 ± 12.1 years. In-hospital mortality rate was 43.3%. Patients with diabetes and history of stroke were less likely to survive. Significant univariate predictors of in-hospital mortality were further analysed separately, according to whether they were present at hospital admission or developed during hospital evolution. At hospital admission, initial non-shockable rhythm, low-flow time>12min, pH4.75mmol/L were the most relevant predictors and therefore included in a score tested by Kaplan-Meyer. Patients who had 0/4 criteria had 100% chance of survival till hospital discharge, 1/4 had 77%, 2/4 had 50%, 3/4 had 25%. Patients with all 4 criteria had 0% survival. During in-hospital evolution, a pH2mmol/L at 24h, anoxic brain injury and persistent hemodynamic instability proved significant. Patients who had 0/4 of these in-hospital criteria had 100% chance of survival till hospital discharge, 1/4 had 94%, 2/4 had 47%, 3/4 had 25%. Patients with all 4 criteria had 0% survival. Contrarily, CAD severity and ventricular dysfunction didn’t significantly correlate to the outcome.ConclusionClassic prehospital variables retain their value in predicting mortality in the specific group of OHCA with SigCAD. In-hospital evolution variables proved to add value in mortality prediction. Combining these simple variables in risk scores might help refining prognostic prediction in these patients’s subset.

IntroductionRecovered Out-of-Hospital Cardiac Arrest (rOHCA) population is heterogenous. Few studies focused on outcomes in the rOHCA subgroup with proven...

Predictors of In-Hospital Mortality after Recovered Out-of-Hospital Cardiac Arrest in Patients with Proven Significant Coronary Artery Disease: A Retrospective Study

Article Category: Research Article

Data publikacji: 31 sty 2020

Zakres stron: 41 - 51

Otrzymano: 30 lis 2019

Przyjęty: 29 sty 2020

DOI: https://doi.org/10.2478/jccm-2020-0006

Słowa kluczowe
out-of-hospital cardiac arrest, return of spontaneous circulation, coronary artery disease, coronary angiography, in-hospital mortality

© 2020 Maria Trepa, Samuel Bastos, Marta Fontes-Oliveira, Ricardo Costa, André Dias-Frias, André Luz, Vasco Dias, Mário Santos, Severo Torres, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Predictors of In-Hospital Mortality after Recovered Out-of-Hospital Cardiac Arrest in Patients with Proven Significant Coronary Artery Disease: A Retrospective Study

Article Category: Research Article

Data publikacji: 31 sty 2020

Zakres stron: 41 - 51

Otrzymano: 30 lis 2019

Przyjęty: 29 sty 2020

DOI: https://doi.org/10.2478/jccm-2020-0006

Słowa kluczoweout-of-hospital cardiac arrest, return of spontaneous circulation, coronary artery disease, coronary angiography, in-hospital mortality

© 2020 Maria Trepa, Samuel Bastos, Marta Fontes-Oliveira, Ricardo Costa, André Dias-Frias, André Luz, Vasco Dias, Mário Santos, Severo Torres, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Słowa kluczowe
out-of-hospital cardiac arrest, return of spontaneous circulation, coronary artery disease, coronary angiography, in-hospital mortality