Development and validation of a nomogram to predict in-hospital cardiac arrest among patients admitted with acute coronary syndrome.

AIM: This study aimed to develop and validate a nomogram to recognize in-hospital cardiac arrest (CA) in patients with acute coronary syndrome (ACS). METHODS: This multicenter case-control study reviewed 164 ACS patients who had in-hospital CA and randomly selected 521 ACS patients with no CA experience. We randomly assigned 80% of the participants to a development cohort, 20% of those to an independent validation cohort. The least absolute shrinkage and selection operator (LASSO) regression model was used for data dimension reduction, and multivariable logistic regression analysis was used to develop the CA prediction nomogram. Nomogram performance was assessed with respect to discrimination, calibration, and clinical usefulness. RESULTS: Seven parameters, including chest pain, Killip class, potassium, BNP, arrhythmia, platelet count, and NEWS, were used to create individualized CA prediction nomograms. The CA prediction nomogram showed good discrimination (C-index of 0.896, 95%CI, 0.865-0.927) and calibration. Application of the CA prediction nomogram in assessments of the validation cohort improved discrimination (C-index of 0.914, 95%CI, 0.873-0.967) and calibration. The results of decision curve analysis demonstrated that the CA prediction nomogram was clinically useful. CONCLUSION: Our study generated a friendly risk score to recognize in-hospital CA with good discrimination and calibration. Further studies need to establish a pathway to guide the application of the risk score in clinical practice.

SSEP retains its value as predictor of poor outcome following cardiac arrest in the era of therapeutic hypothermia.

OBJECTIVES: To re-evaluate the role of median nerve somatosensory evoked potentials (SSEPs) and bilateral loss of the N20 cortical wave as a predictor of unfavorable outcome in comatose patients following cardiac arrest (CA) in the therapeutic hypothermia (TH) era. METHODS: Review the results and conclusions drawn from isolated case reports and small series of comatose patients following CA in which the bilateral absence of N20 response has been associated with recovery, and evaluate the proposal that SSEP can no longer be considered a reliable and accurate predictor of unfavorable neurologic outcome. RESULTS: There are many methodological limitations in those patients reported in the literature with severe post anoxic encephalopathy who recover despite having lost their N20 cortical potential. These limitations include lack of sufficient clinical and neurologic data, severe core body hypothermia, specifics of electrophysiologic testing, technical issues such as background noise artifacts, flawed interpretations sometimes related to interobserver inconsistency, and the extreme variability in interpretation and quality of SSEP analysis among different clinicians and hospitals. CONCLUSIONS: The absence of the SSEP N20 cortical wave remains one of the most reliable early prognostic tools for identifying unfavorable neurologic outcome in the evaluation of patients with severe anoxic-ischemic encephalopathy whether or not they have been treated with TH. When confounding factors are eliminated the false positive rate (FPR) approaches zero.

A Conceptual Framework to Reduce Inpatient Preventable Deaths.

BACKGROUND: Efforts to reduce preventable deaths in the in-hospital setting should target both cardiopulmonary arrest (CPA) prevention and optimal resuscitation. This requires consideration of a broad range of clinical issues and processes. A comprehensive, integrated system of care (SOC) that links data collection with a modular education program to reduce preventable deaths has not been defined. METHODS: This study was conducted in two urban university hospitals from 2005 to 2009. The Advanced Resuscitation Training (ART) program was implemented in 2007, incorporating hands-on resuscitative skills and in-hospital-specific training with an institutional resuscitation database. Linkage between the database and training modules occurs via the ART Matrix, which classifies all CPA events into the following etiologies: sepsis, hemorrhage, pulmonary embolus, heart failure, tachyarrhythmias, bradyarrhythmias, acute respiratory distress syndrome, non-intubated pulmonary disease, obstructive apnea, traumatic brain injury, ischemic brain injury, and intracranial mass lesions. This taxonomy was validated using descriptive statistics, before-and-after analysis evaluating CPA incidence, and multivariate logistic regression to predict CPA survival. RESULTS: A total of 336 inpatients suffered a cardiopulmonary arrest during the study period-187 in the pre-ART period and 149 in the post-ART period. The vast majority of CPA events were categorized using the ART Matrix with high inter-observer reliability. As anticipated, changes in CPA incidence and survival were observed for some Matrix categories but not others following ART implementation. In addition, multivariate logistic regression revealed strong independent associations between taxonomy classifications and outcome. CONCLUSION: A novel SOC using a unique taxonomy for arrest classification appears to be effective at reducing inpatient CPA incidence and outcome.

Systematic assessment of patients with unexplained cardiac arrest: Cardiac Arrest Survivors With Preserved Ejection Fraction Registry (CASPER).

BACKGROUND: Cardiac arrest without evident cardiac disease may be caused by subclinical genetic conditions. Provocative testing to unmask a phenotype is often necessary to detect primary electrical disease, direct genetic testing, and perform family screening. METHODS AND RESULTS: Patients with apparently unexplained cardiac arrest and no evident cardiac disease (normal cardiac function on echocardiogram, no evidence of coronary artery disease, and a normal ECG) underwent systematic evaluation that included cardiac magnetic resonance imaging, signal-averaged ECG, exercise testing, drug challenge, and selective electrophysiological testing. Diagnostic criteria were based on accepted criteria or provocation of the characteristic clinical features for long-QT syndrome, catecholaminergic polymorphic ventricular tachycardia, Brugada syndrome, early repolarization, arrhythmogenic right ventricular cardiomyopathy, coronary spasm, and myocarditis. Sixty-three patients in 9 centers were enrolled (age 43.0+/-13.4 years, 29 women). A diagnosis was obtained in 35 patients (56%): Long-QT syndrome in 8, catecholaminergic polymorphic ventricular tachycardia in 8, arrhythmogenic right ventricular cardiomyopathy in 6, early repolarization in 5, coronary spasm in 4, Brugada syndrome in 3, and myocarditis in 1. Targeted genetic testing demonstrated evidence of causative mutations in 9 (47%) of 19 patients. Screening of 64 family members of these patients identified 15 affected individuals who were treated (24%). The remaining 28 patients (44%) were considered to have idiopathic ventricular fibrillation. CONCLUSIONS: Systematic clinical testing, including drug provocation and advanced imaging, results in unmasking of the cause of apparently unexplained cardiac arrest in >50% of patients. This approach assists in directing genetic testing to diagnose genetically mediated arrhythmia syndromes, which results in successful family screening.

Organ donation after controlled cardiac death under Maastricht category iii: Ethical implications and end of life care. / La donación de órganos en asistolia controlada tipo iii de Maastricht: implicaciones éticas y cuidados al final de la vida.

The decrease in potential donation after brain death has resulted in a need to evaluate alternative sources. Donation after cardiac death is a good option. The objectives of this article are to describe the Maastricht type iii controlled organ donation characteristics and to determine end-of-life care and the role of nurses in the donation process. In this type of donation, cardiocirculatory arrest is predictable after the limitation of life sustaining treatments. These are patients for whom there are no effective therapy options and, in the context of an organised and planned practice involving all the professionals involved in the care of the patient, the decision is made, in consultation with the family, to withdraw life support measures. This limitation of life sustaining treatments is never carried out with the aim of making a Maastricht iii donation, but to avoid prolonging the dying process through useless and possibly degrading interventions. The obligation of the health team is to provide a dignified death and this not only includes the absence of pain, but the patient and their family must be guaranteed a feeling of calmness and serenity. Once the decision has been taken to withhold or withdraw measures, the nurse has an important role in the implementation of a palliative care plan in where physicians, nurses and patients/families should be involved and whose focus should be on patients' dignity and comfort, considering their physical, psychological and spiritual needs.

Subphenotypes of Cardiac Arrest Patients Admitted to Intensive Care Unit: a latent profile analysis of a large critical care database.

Cardiac arrest (CA) may occur due to a variety of causes with heterogeneity in their clinical presentation and outcomes. This study aimed to identify clinical patterns or subphenotypes of CA patients admitted to the intensive care unit (ICU). The clinical and laboratory data of CA patients in a large electronic healthcare database were analyzed by latent profile analysis (LPA) to identify whether subphenotypes existed. Multivariable Logistic regression was used to assess whether mortality outcome was different between subphenotypes. A total of 1,352 CA patients fulfilled the eligibility criteria were included. The LPA identified three distinct subphenotypes: Profile 1 (13%) was characterized by evidence of significant neurological injury (low GCS). Profile 2 (15%) was characterized by multiple organ dysfunction with evidence of coagulopathy (prolonged aPTT and INR, decreased platelet count), hepatic injury (high bilirubin), circulatory shock (low mean blood pressure and elevated serum lactate); Profile 3 was the largest proportion (72%) of all CA patients without substantial derangement in major organ function. Profile 2 was associated with a significantly higher risk of death (OR: 2.09; 95% CI: 1.30 to 3.38) whilst the mortality rates of Profiles 3 was not significantly different from Profile 1 in multivariable model. LPA using routinely collected clinical data could identify three distinct subphenotypes of CA; those with multiple organ failure were associated with a significantly higher risk of mortality than other subphenotypes. LPA profiling may help researchers to identify the most appropriate subphenotypes of CA patients for testing effectiveness of a new intervention in a clinical trial.

Combination of S100B and procalcitonin improves prognostic performance compared to either alone in patients with cardiac arrest: A prospective observational study.

This study aimed to determine whether the combination of procalcitonin (PCT) and S100B improves prognostic performance compared to either alone in cardiac arrest (CA) patients treated with targeted temperature management (TTM).We performed a prospective cohort study of CA patients treated with TTM. PCT and S100B levels were obtained at 0, 24, 48, and 72 hours after return of spontaneous circulation. The prognostic performance was analyzed using each marker and the combination of the 2 markers for predicting poor neurological outcome at 3 months and mortality at 14 days and 3 months.A total of 97 patients were enrolled, of which 67 (69.1%) had poor neurological outcome. S100B showed a better prognostic performance (area under the curve [AUC], 0.934; sensitivity, 77.6%; and specificity, 100%) than PCT (AUC, 0.861; sensitivity, 70.2%; and specificity, 83.3%) with the highest prognostic value at 24 hours. The combination of 24-hour PCT and S100B values (S100B ≥0.2 µg/L or PCT ≥6.6 ng/mL) improved sensitivity (85.07%) compared with S100B alone. In multivariate analysis, PCT was associated with mortality at 14 days (odds ratio [OR]: 1.064, 95% confidence interval [CI]: 1.014-1.118), whereas S100B was associated with neurological outcomes at 3 months (OR: 9.849, 95% CI: 2.089-46.431).The combination of PCT and S100B improved prognostic performance compared to the use of either biomarker alone in CA patient treated with TTM. Further studies that will identify the optimal cutoff values for these biomarkers must be conducted.

Pulseless electrical activity following traumatic cardiac arrest: Sign of life or death?

BACKGROUND: Generally considered a sign of life, PEA is the most common arrhythmia encountered following pre-hospital traumatic cardiac arrest. Some recommend cardiac ultrasound (CUS) to determine cardiac wall motion (CWM) prior to terminating resuscitation efforts. This purpose of this study was to evaluate the outcomes of patients with traumatic cardiac arrest presenting with PEA, with and without CWM. METHODS: Trauma patients who underwent pre-hospital CPR were identified from the registries of two level-1 trauma centers. Pre-hospital management by emergency medical transport services was guided by advanced life support protocols. The on-duty trauma surgeon directed the resuscitations and performed or supervised CUS and determined CWM. RESULTS: Among 277 patients who underwent pre-hospital CPR, 110 patients had PEA on arrival to ED. 69 (62.7%) were injured by blunt mechanisms. Median CPR duration was 20.0 and 8.0 min for pre-hospital and ED, respectively. Sixty-three patients (22.7%) underwent resuscitative thoracotomy. One hundred seventy-two patients (62.1%) received CUS and of these 32 (18.6%) had CWM. CWM was significantly associated with survival to hospital admission (21.9% vs. 1.4%; P < 0.001); however, no patient with CUS survived to hospital discharge. Overall, only one patient with PEA on arrival survived to discharge. CONCLUSION: Following pre-hospital traumatic cardiac arrest, PEA on arrival portends death. Although CWM is associated with survival to admission, it is not associated with meaningful survival. Heroic resuscitative measures may be unwarranted for PEA following pre-hospital traumatic arrest, regardless of CWM.

Neurostimulant use is associated with improved survival in comatose patients after cardiac arrest regardless of electroencephalographic substrate.

AIM: Identify EEG patterns that predict or preclude favorable response in comatose post-arrest patients receiving neurostimulants. METHODS: We examined a retrospective cohort of consecutive electroencephalography (EEG)-monitored comatose post-arrest patients. We classified the last day of EEG recording before neurostimulant administration based on continuity (continuous/discontinuous), reactivity (yes/no) and malignant patterns (periodic discharges, suppression burst, myoclonic status epilepticus or seizures; yes/no). In subjects who did not receive neurostimulants, we examined the last 24h of available recording. For our primary analysis, we used logistic regression to identify EEG predictors of favorable response to treatment (awakening). RESULTS: In 585 subjects, mean (SD) age was 57 (17) years and 227 (39%) were female. Forty-seven patients (8%) received a neurostimulant. Neurostimulant administration independently predicted improved survival to hospital discharge in the overall cohort (adjusted odds ratio (aOR) 4.00, 95% CI 1.68-9.52) although functionally favorable survival did not differ. No EEG characteristic predicted favorable response to neurostimulants. In each subgroup of unfavorable EEG characteristics, neurostimulants were associated with increased survival to hospital discharge (discontinuous background: 44% vs 7%, P=0.004; non-reactive background: 56% vs 6%, P<0.001; malignant patterns: 63% vs 5%, P<0.001). CONCLUSION: EEG patterns described as ominous after cardiac arrest did not preclude survival or awakening after neurostimulant administration. These data are limited by their observational nature and potential for selection bias, but suggest that EEG patterns alone should not affect consideration of neurostimulant use.

Categorization of survival and death after cardiac arrest.

BACKGROUND: Most cardiac arrest (CA) patients remain comatose post-resuscitation, prompting goals-of-care (GOC) conversations. The impact of these conversations on patient outcomes has not been well described. METHODS: Patients (n=385) treated for CA in Columbia University ICUs between 2008-2015 were retrospectively categorized into various modes of survival and death based on documented GOC discussions. Patients were deemed "medically unstable" if there was evidence of hemodynamic instability at the time of discussion. Cerebral performance category (CPC) greater than 2 was defined as poor outcome at discharge and one-year post-arrest. RESULTS: The survival rate was 31% (n=118); most commonly after early recovery without any discussions (57%, n=67), followed by survival due to family wishes despite physicians predicting poor neurological prognosis (20%, n=24), and then survival after physician/family agreement of favorable prognosis (17%, n=20). The survivors due to family wishes had significantly worse outcomes compared to the early recovery group (discharge: p=0.01; one-year: p=0.06) and agreement group (p<0.001; p<0.001), though 2 patients did achieve favorable recovery. Among nonsurvivors (n=267), withdrawal of life-sustaining therapy (WLST) while medically unstable was most common (31%; n=83), followed by death after care was capped (24%, n=65), then WLST while medically stable (17%, n=45). Death despite full support, brain death and WLST due to advanced directives were less common causes. CONCLUSIONS: Most survivors due to family wishes despite poor neurological prognosis die or have poor outcomes at one-year. However, a small number achieve favorable recovery, demonstrating limitations with current prognostication methods. Among nonsurvivors, most WLST occurs while medically unstable, suggesting an overestimation of WLST due to unfavorable neurological prognosis.

A new system for classification of cardiac death as arrhythmic, ischemic, or due to myocardial pump failure.

Existing classifications of cardiac death fail to incorporate current understanding of the pathophysiology of sudden cardiac death. We developed a new scheme for classifying cardiac death that defines 3 categories of underlying mechanism: primary arrhythmia, acute myocardial ischemia/infarction, and myocardial pump failure. Using this new system, we classified the mechanism of 106 definite cardiac deaths from the Recurrent Coronary Prevention Project. Fifty deaths (47%) were classified as arrhythmic, 46 (43%) as ischemic, and 9 (8%) as due to myocardial pump failure (1 death was not classifiable). All 36 witnessed arrhythmic deaths were sudden and 8 of 9 witnessed myocardial pump failure deaths were nonsudden. The 38 witnessed ischemic deaths were split evenly between sudden and nonsudden. Interrater agreement for the classification of mechanism was 100%. This classification scheme, if validated in subsequent studies, will provide a useful algorithm for classifying deaths by underlying mechanism.

Near-drowning and drowning classification: a proposal to stratify mortality based on the analysis of 1,831 cases.

STUDY OBJECTIVE: To establish an updated classification for near-drowning and drowning (ND/D) according to severity, based on mortality rate of the subgroups. MATERIALS AND METHODS: We reviewed 41,279 cases of predominantly sea water rescues from the coastal area of Rio de Janeiro City, Brazil, from 1972 to 1991. Of this total, 2,304 cases (5.5%) were referred to the Near-Drowning Recuperation Center, and this group was used as the study database. At the accident site, the following clinical parameters were recorded: presence of breathing, arterial pulse, pulmonary auscultation, and arterial BP. Cases lacking records of clinical parameters were not studied. The ND/D were classified in six subgroups: grade 1--normal pulmonary auscultation with coughing; grade 2--abnormal pulmonary auscultation with rales in some pulmonary fields; grade 3--pulmonary auscultation of acute pulmonary edema without arterial hypotension; grade 4--pulmonary auscultation of acute pulmonary edema with arterial hypotension; grade 5--isolated respiratory arrest; and grade 6--cardiopulmonary arrest. RESULTS: From 2,304 cases in the database, 1,831 cases presented all clinical parameters recorded and were selected for classification. From these 1,831 cases, 1,189 (65%) were classified as grade 1 (mortality=0%); 338 (18.4%) as grade 2 (mortality=0.6%); 58 (3.2%) as grade 3 (mortality=5.2%); 36 (2%) as grade 4 (mortality=19.4%); 25 (1.4%) as grade 5 (mortality=44%); and 185 (10%) as grade 6 (mortality=93%) (p<0.000001). CONCLUSION: The study revealed that it is possible to establish six subgroups based on mortality rate by applying clinical criteria obtained from first-aid observations. These subgroups constitute the basis of a new classification.

Early prediction of non-survival for patients suffering cardiac arrest--a word of caution. The Belgian Cerebral Resuscitation Study Group.

A total of 6178 persons with out-of-hospital (70%) and in hospital (30%) cardiac arrests from the first of January 1982 until the end of 1989 were reviewed retrospectively with respect to 4 variables, contributing to a score for specific prediction of poor prognosis (cut-off point: greater than 3 points). These included age, initial ECG, type of respiratory arrest and bystander resuscitation. Presence of ventricular fibrillation, gasping and bystander resuscitation contributes nothing to the score, while presence of asystole or EMD (electromechanical dissociation), apnoea and absence of bystander resuscitation adds one point to it. Of patients scoring 4 or 5 points 44 were awake 14 days post CPR (Class 3). The positive predictive value of the score was 97% (95% CI 96-98%) for the out-of-hospital group and 92.2% (95% CI 88-95%) for the in-hospital group. The specificity was respectively 92.3% (95% CI 89-95%) and 94.2% (95% CI 91-96%). Although the score can weigh the likelihood of no success against that of success, we cannot recommend it for decision making as far as abandoning or continuing cardiopulmonary resuscitation efforts.

Early prognostic indices after cardiopulmonary resuscitation (CPR). The Cerebral Resuscitation Study Group.

An early prediction score (EPS) is constructed as the sum of five events: the type of cardiac arrest is ventricular fibrillation; the type of respiratory arrest is gasping; pupil reaction is unequal, slow or normal, but present; swallowing activity is present and the cardiac arrest has been witnessed. Presence of any of these events contributes one point to the score, while absence contributes nothing to it. EPS during resuscitation results in a comparable amount of information, whether used to predict success, alive and conscious 14 days post-CPR or no-success. EPS early (10 min) after initially successful resuscitation is more effective in predicting no-success than success. EPS during CPR does not allow decision making as far as stopping or continuing CPR efforts. EPS early after CPR does neither allow decision making as far as stopping or continuing critical care efforts after initially successful CPR. EPS does, however, weigh the likelihood of success against that of no-success, which can be used when discussing the chances of the patient with his relatives.

Predictors of outcome from critical illness. Shock and cardiopulmonary resuscitation.

Many of our patients in ICUs suffer from shock, be it due to sepsis, trauma, arrest, or other causes. These patients continue to have a very high mortality rate in spite of very labor intensive and expensive treatment. The ability to identify patients who are likely to succumb to their illness is of utmost importance. Of the multitude of scoring systems published, the APACHE seems to accurately stratify shock patients according to severity of illness. However, these systems tend to be more useful for stratifying risk groups of patients than assessing the risk of death. Hemodynamic data can specifically assess the severity of the shock state in an individual patient. Those who maintain a relatively low cardiac index (< 4.5 L/m/M2) and oxygen delivery (< 15 mL/m/kg or 600 mL/m/M2) have persistent tissue hypoperfusion. Arterial lactate concentrations reflect the severity of this perfusion defect and correlate with outcome. Therefore, by restoring tissue perfusion, we can clearly improve mortality. CPP, although not generally obtainable during cardiac arrest, is the major physiologic determinant of outcome from CPR. ETCO2 monitoring during cardiac arrest in humans correlates with resuscitability, however, provides a rapid noninvasive monitor of cardiac output, and therefore has secured its role as an invaluable tool for assessing the effectiveness of CPR. An ETCO2 over 10 mm Hg is associated with effective CPR. A rapid rise in ETCO2 during CPR heralds recovery of spontaneous circulation. In conclusion, the use of prognostic indicators as predictors of outcome is supported as an important adjunct to the management of critically ill patients. These indicators serve as useful monitors to evaluate treatment and guide clinical management. Understanding the underlying pathophysiologic mechanisms responsible for the wide variety of illnesses associated with circulatory failure is crucial in our concerted effort to reduce mortality in these patients. As knowledge is gained, we hopefully will be able to develop more accurate and specific predictors of outcome to prudently select patients most likely to benefit.

CPR in the elderly: when should it be performed?

Data comparing the success of CPR in elderly hospitalized persons, those living in the community, and those in long-term care facilities show varying results. In general, elderly patients who receive CPR following arrest do not fare as well as younger patients, but there appears to be a subgroup of elderly in whom the success rate is relatively high. Specifically, patients who demonstrate ventricular fibrillation or ventricular tachycardia are more likely to survive than are those demonstrating asystole or electromechanical dissociation. Most studies have not shown a difference in mental or functional impairment between older and younger survivors of cardiac arrest.