Intensive Care Unit Cardiac Arrest Research Articles

Intensive care unit cardiac arrest among very elderly critically ill patients – is cardiopulmonary resuscitation justified?

IntroductionThe proportion of very elderly patients in the intensive care unit (ICU) is expected to rise. Furthermore, patients are likely more prone to suffer a cardiac arrest (CA) event within the ICU. The occurrence of intensive care unit cardiac arrest (ICU-CA) is associated with high mortality. To date, the incidence of ICU-CA and its clinical impact on outcome in the very old (≥ 90 years) patients treated is unknown.MethodsRetrospective analysis of all consecutive critically ill patients ≥ 90 years admitted to the ICU of a tertiary care university hospital in Hamburg (Germany). All patients suffering ICU-CA were included and CA characteristics and functional outcome was assessed. Clinical course and outcome were assessed and compared between the subgroups of patients with and without ICU-CA.Results1,108 critically ill patients aged ≥ 90 years were admitted during the study period. The median age was 92.3 (91.0–94.2) years and 67% (n = 747) were female. 2% (n = 25) of this cohort suffered ICU-CA after a median duration 0.5 (0.2–3.2) days of ICU admission. The presumed cause of ICU-CA was cardiac in 64% (n = 16). The median resuscitation time was 10 (2–15) minutes and the initial rhythm was shockable in 20% (n = 5). Return of spontaneous circulation (ROSC) could be achieved in 68% (n = 17). The cause of ICU admission was primarily medical in the total cohort (ICU-CA: 48% vs. No ICU-CA: 34%, p = 0.13), surgical - planned (ICU-CA: 32% vs. No ICU-CA: 37%, p = 0.61) and surgical - unplanned/emergency (ICU-CA: 43% vs. No ICU-CA: 28%, p = 0.34). The median Charlson Comorbidity Index (CCI) was 2 (1–3) points for patients with ICU-CA and 1 (0–2) for patients without ICU-CA (p = 0.54). Patients with ICU-CA had a higher disease severity according to SAPS II (ICU-CA: 54 vs. No ICU-CA: 36 points, p < 0.001). Patients with ICU-CA had a higher rate of mechanically ventilation (ICU-CA: 64% vs. No ICU-CA: 34%, p < 0.01) and required vasopressor therapy more often (ICU-CA: 88% vs. No ICU-CA: 41%, p < 0.001). The ICU and in-hospital mortality was 88% (n = 22) and 100% (n = 25) in patients with ICU-CA compared to 17% (n = 179) and 28% (n = 306) in patients without ICU-CA. The mortality rate for patients with ICU-CA was observed to be 88% (n = 22) in the ICU and 100% (n = 25) in-hospital. In contrast, patients without ICU-CA had an in-ICU mortality rate of 17% (n = 179) and an in-hospital mortality rate of 28% (n = 306) (both p < 0.001).ConclusionThe occurrence of ICU-CA in very elderly patients is rare but associated with high mortality. Providing CPR in this cohort did not lead to long-term survival at our centre. Very elderly patients admitted to the ICU likely benefit from supportive care only and should probably not be resuscitated due to poor chance of survival and ethical considerations. Providing personalized assurances that care will remain appropriate and in accordance with the patient’s and family’s wishes can optimise compassionate care while avoiding futile life-sustaining interventions.

Clinical outcomes of patients with in-hospital witnessed cardiac arrest: effect of co-morbidities

IntroductionCardiopulmonary resuscitation (CPR) is frequently performed in hospitalized patients after in-hospital cardiac arrest (IHCA), especially in the intensive care unit (ICU) (J Crit Care 24:408-414, 2009). Despite the fact that nearly half of the in-hospital cardiac arrests (IHCA) actually happen in intensive care units (ICUs) (N Engl J Med 367:1912-1920, 2012), intensive care unit cardiac arrest (ICU-CA) compared to IHCA or out-of-hospital cardiac arrests (OHCA) has received little attention, and data on ICU-CA remains scanty (Intensive Care Med 40:1853-1916, 2014).AimWe aimed to evaluate the clinical status and factors associated with the survival of patients subjected to cardiopulmonary resuscitation (CPR) after a witnessed cardiac arrest (CA) inside the medical intensive care unit (MICU).PatientsThe study included 110 patients, mean age of 60 ± 18 years, 69 (63%) males, and 41 (37%) females. Co-morbidities included diabetes mellitus was present in 46 (42%), hypertension 57 (52%), central nervous system (CNS) disease 31 (29%), cardiovascular (CVS) 76 (69%), respiratory 63 (57%), hepatic 16 (15%), shock 35 (32%), and renal 44 (40%). Mechanical ventilation was present in 97 (88%) of patients. SOFA score < 9 was present in 38%, MPM III score < 10 in 37%, and GCS > 7 in 66% of patients. Non-shockable rhythm occurred in 95 (86%) while shockable rhythm in 15 (14%) of patients.MethodsData were collected prospectively at the medical ICU of Cairo University from Jan. 2013 to Feb 2013. A resuscitation protocol was done according to the latest recommendation of the European Society of Cardiology at the time of patient inclusion. Clinical data were recorded and surviving patients were clinically followed daily until hospital discharge.ResultsOut of 110 witnessed cardiac arrests, CPR was initially successfully manifested by return of spontaneous circulation (ROSC) in 60 patients (55%), of whom 22 (20%) survived hospital discharge and only 9 patients (8%) were functionally independent. Compared to non-survivors, 60 patients (55%) with ROSC had a MPM III < 10 (p 0.015), EF ≥ 50% (p 0.001), and non-shocked patients (p 0.008). Other factors such as DC shocks < 3 (p 0.02), CPR cycles < 2 (p < 0.001), resuscitation duration < 10 min (p 0.03), time to start CPR < 1 min (p 0.001), maintained HCO3 (p 0.03), and PaCO2 (p 0.002) were found to improve ROSC. Mortality before discharge decreased with asystole (p < 0.01). Mortality before discharge increased with CNS (p < 0.02) and respiratory comorbidities (p 0.02), shock (p < 0.001) and mechanical ventilation (p < 0.0001), SOFA > 9 (p 0.001), MPM III > 10 (0.018), and time to start CPR > 1 min (p 0.001).ConclusionNot all ROSC reached long-term survival and hospital discharge. Several co-morbidities affect ROSC and short-term and long-term patient survival after witnessed MICU cardiac arrest.

A comparison of Simplified Acute Physiology Score II and Sepsis-related Organ Failure Assessment Score for prediction of mortality after Intensive Care Unit cardiac arrest.

This study investigates the predictive value and suitable cutoff values of the Sepsis-related Organ Failure Assessment Score (SOFA) and Simplified Acute Physiology Score II (SAPS-II) to predict mortality during or after Intensive Care Unit Cardiac Arrest (ICU-CA). In this secondary analysis the ICU database of a German university hospital with five ICU was screened for all ICU-CA between 2016-2019. SOFA and SAPS-II were used for prediction of mortality during ICU-CA, hospital-stay and one-year-mortality. Receiver operating characteristic curves (ROC), area under the ROC (AUROC) and its confidence intervals were calculated. If the AUROC was significant and considered "acceptable," cutoff values were determined for SOFA and SAPS-II by Youden Index. Odds ratios and sensitivity, specificity, positive and negative predictive values were calculated for the cutoff values. A total of 114 (78 male; mean age: 72.8±12.5 years) ICU-CA were observed out of 14,264 ICU-admissions (incidence: 0.8%; 95% CI: 0.7-1.0%). 29.8% (N.=34; 95% CI: 21.6-39.1%) died during ICU-CA. SOFA and SAPS-II were not predictive for mortality during ICU-CA (P>0.05). Hospital-mortality was 78.1% (N.=89; 95% CI: 69.3-85.3%). SAPS-II (recorded within 24 hours before and after ICU-CA) indicated a better discrimination between survival and death during hospital stay than SOFA (AUROC: 0.81 [95% CI: 0.70-0.92] vs. 0.70 [95% CI: 0.58-0.83]). A SAPS-II-cutoff-value of 43.5 seems to be suitable for prognosis of hospital mortality after ICU-CA (specificity: 87.5%, sensitivity: 65.6%; SAPS-II>43.5: 87.5% died in hospital; SAPS-II<43.5: 65.6% survived; odds ratio:13.4 [95% CI: 3.25-54.9]). Also for 1-year-mortality (89.5%; 95% CI: 82.3-94.4) SAPS-II showed a better discrimination between survival and death than SOFA: AUROC: 0.78 (95% CI: 0.65-0.91) vs. 0.69 (95% CI: 0.52-0.87) with a cutoff value of the SAPS-II of 40.5 (specificity: 91.7%, sensitivity: 64.3%; SAPS-II>40.5: 96.4% died; SAPS-II<40.5: 42.3% survived; odd ratio: 19.8 [95% CI: 2.3-168.7]). Compared to SOFA, SAPS-II seems to be more suitable for prediction of hospital and 1-year-mortality after ICU-CA.

Abstract 10626: Use of Targeted Bedside Simulation in the Pediatric Cardiac Intensive Care Unit: Codes on the Go

Introduction: Early recognition of clinical decompensation and rapid intervention are essential to prevention of cardiac arrest (CA). Simulation provides a safe, realistic environment to improve performance of low frequency, high risk skills and practical knowledge. Codes on the Go (COTG) uses mobile bedside simulation emulating the most frequent causes of CA to improve early recognition of clinical changes that may lead to CA and improve performance of crucial tasks. Methods: COTG scenarios are based on our cardiac intensive care unit CA data including trends in etiology and knowledge gaps identified in code debriefs. Each simulation lasts 10 minutes (pre-brief, clinical scenario, and educational debrief). For each simulation, completion and timing of pre-identified objectives were recorded and participant feedback was obtained. Results: We conducted 56 simulations using our pilot scenario “Agitation &amp; Bradycardia”. Of these, 11 involved staff participating for the second time. When comparing the 45 first-time participants to the 11 repeat participants, the tasks showing the largest increase in completion were identifying that dexmedetomidine (dex) can worsen bradycardia, stopping the dex infusion, and using the appropriate CPR ratio. The average time-to-task decreased for 5 of 6 tasks measured between the first-time participants and repeat participants (Figure 1). The vast majority (98%) of participants agreed that feedback was done in a constructive, non-punitive way and the simulation had no negative impact on patient care or staff workflow. Conclusions: COTG is a customizable and low-cost way to improve performance of critical skills and knowledge. Repeat participation in the same scenario improved both completion of objectives and time-to-task without impeding workflow or patient care. This pilot study demonstrated successful proof-of-concept and further implementation of arrest scenario simulations will be implemented to expand its benefit.

Characteristics and Risk Factors for Intensive Care Unit Cardiac Arrest in Critically Ill Patients with COVID-19—A Retrospective Study

The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) causing the coronavirus disease 2019 (COVID-19) led to an ongoing pandemic with a surge of critically ill patients. Very little is known about the occurrence and characteristic of cardiac arrest in critically ill patients with COVID-19 treated at the intensive care unit (ICU). The aim was to investigate the incidence and outcome of intensive care unit cardiac arrest (ICU-CA) in critically ill patients with COVID-19. This was a retrospective analysis of prospectively recorded data of all consecutive adult patients with COVID-19 admitted (27 February 2020–14 January 2021) at the University Medical Centre Hamburg-Eppendorf (Germany). Of 183 critically ill patients with COVID-19, 18% (n = 33) had ICU-CA. The median age of the study population was 63 (55–73) years and 66% (n = 120) were male. Demographic characteristics and comorbidities did not differ significantly between patients with and without ICU-CA. Simplified Acute Physiological Score II (SAPS II) (ICU-CA: median 44 points vs. no ICU-CA: 39 points) and Sequential Organ Failure Assessment (SOFA) score (median 12 points vs. 7 points) on admission were significantly higher in patients with ICU-CA. Acute respiratory distress syndrome (ARDS) was present in 91% (n = 30) with and in 63% (n = 94) without ICU-CA (p = 0.002). Mechanical ventilation was more common in patients with ICU-CA (97% vs. 67%). The median stay in ICU before CA was 6 (1–17) days. A total of 33% (n = 11) of ICU-CAs occurred during the first 24 h of ICU stay. The initial rhythm was non-shockable (pulseless electrical activity (PEA)/asystole) in 91% (n = 30); 94% (n = 31) had sustained return of spontaneous circulation (ROSC). The median time to ROSC was 3 (1–5) minutes. Patients with ICU-CA had significantly higher ICU mortality (61% vs. 37%). Multivariable logistic regression showed that the presence of ARDS (odds ratio (OR) 4.268, 95% confidence interval (CI) 1.211–15.036; p = 0.024) and high SAPS II (OR 1.031, 95% CI 0.997–1.065; p = 0.077) were independently associated with the occurrence of ICU-CA. A total of 18% of critically ill patients with COVID-19 suffered from a cardiac arrest within the intensive care unit. The occurrence of ICU-CA was associated with presence of ARDS and severity of illness.

Epidemiology of intensive care unit cardiac arrest: Characteristics, comorbidities, and post-cardiac arrest organ failure — A prospective observational study

BackgroundCritically ill patients in intensive care units can frequently suffer from cardiac arrest (ICU-CA), the incidence of ICU-CA is associated with high mortality. Most studies on ICU-CA focused on risk factors and intra-arrest determinants. However, there is a lack of data on organ failure after ICU-CA and its clinical implications for outcome. This study aimed to investigate ICU-CA incidence, outcome and the occurrence of organ failure after ICU-CA. MethodsWe conducted a prospective observational study over a 1-year at 12 intensive care units of a tertiary care university hospital. We included all consecutive adult patients suffering cardiac arrest (CA) during the ICU stay. Incidence, clinical and neurological outcome, as well as organ failure and support were assessed. ResultsOut of 7690 patients, 176 (2%) with ICU-CA were identified during the study period. Male patients comprised 63% and the median age was 70 (58–78) years. The median ICU stay before ICU-CA was 3 (1–8) days. The initial cardiac rhythm was shockable (VT/VF) in 23% of patients; defibrillation during CPR was performed in 19%. The presumed cause of CA was cardiac in 24%, and sustained ROSC was observed in 80% of patients. Before CA 57% (n = 100) of patients were sedated, 63% (n = 110) mechanically ventilated, 70% needed vasopressor therapy and renal replacement therapy was necessary in 27% (n = 48) of patients. Organ failure after ICU-CA was common, 70% suffered from post-CA cardiac failure, renal replacement therapy was newly initiated in 26% of patients and liver failure occurred in 24% of patients. Mortality at ICU-discharge and at hospital discharge was 66 % and 68 %, respectively. Multivariate regression analysis identified the SOFA score [HR 1.09, 95% CI (0.92–3.18); p < 0.05] and liver failure [HR 2.44, 95% CI (1.39–4.26); p < 0.001] after ICU-CA as independent predictors of mortality. ConclusionThe incidence of ICU-CA is rare in critically ill patients. Organ failure before and after ICU-CA is common; liver failure incidence and severity of illness after ICU-CA are independent predictors of mortality and should be considered in further decisions on ICU therapy.

Trends in intensive care unit cardiac arrest admissions and mortality in Australia and New Zealand

Trends in intensive care unit cardiac arrest admissions and mortality in Australia and New Zealand

Survival and outcome prediction using the Apache III and the out-of-hospital cardiac arrest (OHCA) score in patients treated in the intensive care unit (ICU) following out-of-hospital, in-hospital or ICU cardiac arrest

BackgroundThere are few data comparing outcome and the utility of severity of illness scoring systems following intensive care after out-of-hospital (OHCA), in-hospital (IHCA) and intensive care unit (ICUCA) cardiac arrest. We investigated survival, factors associated with survival and the correlation and accuracy of general and specific scoring systems, including the Apache III score and the OHCA score in OHCA, IHCA and ICUCA patients. Material and methodsProspective analysis of data on all cardiac arrest patients treated in a tertiary hospital between August 1st 2008 and July 30th 2010. Collected data included resuscitation and post-resuscitation care data as defined by the Utstein Guidelines, Apache III on admission and the OHCA score on admission in OHCA and IHCA patients and after the arrest in ICUCA patients. Statistical methods were used to identify factors associated with outcome and the predictive ability and correlation of the aforementioned scores. ResultsOf a total of 3931 patients treated in the ICU, 51 were admitted following OHCA, 50 following IHCA and 22 suffered an ICUCA and had sustained return of spontaneous circulation (ROSC). Survival at 30 days was highest among ICUCAs (67%) followed by IHCAs (38%) and OHCAs (29%). Using multivariate analysis delay ROSC was the only independent predictor of survival. The OHCA score performed with moderate accuracy for predicting 30-day mortality (area under the curve 0.77 [0.69–0.86] and was slightly better than the Apache III score 0.71 (0.61–0.80). Using multiple logistic regression the Apache III and the OHCA score were both independent predictors of hospital survival and correlation between these two scores was weak (correlation coefficient of 0.244). ConclusionsLatency to ROSC seems to be the most important determinant of survival in patients following ICU care after a cardiac arrest in this single center trial. The OHCA score and the Apache III score offer moderate predictive accuracy in ICU cardiac arrest patients but correlated weakly with each other. Illness severity adjustment for cardiac arrest patients in ICU should include features of both these scoring systems.

Who survives cardiac arrest in the intensive care units?

Objective The aim of this study was to evaluate the factors related to outcome regarding in–intensive care unit (ICU) cardiac arrest (IICA) in a university hospital. Patients and Methods Adult nontraumatic ICU patients who sustained IICA were prospectively enrolled. Several patient and event-related variables, as well as outcomes, were recorded and summarized based on the revised Utstein-style template. Results A total of 202 episodes of IICA happened during the study period. Return of spontaneous circulation (ROSC) was achieved in 127 patients (62.9%), whereas the overall survival-to-discharge rate was 15.3% (31 patients). In univariate analysis, a shorter duration of resuscitation and pulseless ventricular tachycardia/ventricular fibrillation (VT/VF) as initial arrest rhythm represented better outcomes. Independent predictors of survival to hospital discharge were VT/VF as the initial rhythm (odds ratio [OR], 3.81; 95% confidence interval [CI], 1.50-9.67; P = .005), lower Acute Physiology and Chronic Health Evaluation II score (OR 0.92, 95% CI 0.87-0.98, P = .008), and shorter resuscitation durations (OR 0.91, 95% CI 0.87-0.96, P < .001). Conclusion Shorter resuscitation duration and initial VT/VF are predictors for both ROSC and hospital survival, whereas lower Acute Physiology and Chronic Health Evaluation II scores predict the latter.

Cardiopulmonary resuscitation in pediatric intensive care units.

To determine the effectiveness of cardiopulmonary resuscitation (CPR) in the pediatric intensive care unit (ICU). A nonconcurrent cohort study of consecutive admissions. Thirty-two pediatric ICUs. Consecutive admissions to 32 pediatric ICUs. None. Pediatric ICU patients were followed for the occurrence of a cardiopulmonary arrest (external cardiac massage for at least 2 mins). Patients who were in a state of continuous cardiopulmonary arrest on admission, or who never achieved stable vital signs, were excluded from the study. A total of 205 patients, from a sample of 11,165 (1.8%) pediatric admissions, experienced a cardiopulmonary arrest. Overall, 28 (13.7%) patients survived to hospital discharge. Neither mean ages nor age distribution affected survival. Only two diagnostic categories, traumatic illness, and other etiologies, were associated with survival. None of the patients fitting this category survived (p = .0028). The durations of CPR for survivors and nonsurvivors were 22.5 +/- 10.1 and 24.8 +/- 1.9 mins, respectively (p = .015). For CPR durations of <15 mins, 15 to 30 mins, and >30 mins, the survival rates were 18.6%, 12.2%, and 5.6%, respectively (linear trend p = .022). Thirty-five (17.1%) patients had a cardiopulmonary arrest before pediatric ICU admission and another arrest in the pediatric ICU. Only two (5.7%) of these 35 patients survived to discharge. Pediatric ICU survival decreased as the number of pediatric ICU arrests increased. Patients with one arrest (n = 155), two arrests (n = 29), and more than three arrests (n = 21) experienced survival rates of 14%, 14%, and 9.5%, respectively. Severity of illness, as measured by the Pediatric Risk of Mortality III score, was a significant predictor of survival (p < .001). Pediatric ICU cardiac arrest is an uncommon event. When it does occur, prehospital CPR, duration of resuscitation, traumatic etiology, and severity of illness are important factors associated with survival.