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Comparison of three cognitive exams in cardiac arrest survivors.

ABSTRACT: Background:Cognitive deficits may detract from quality of life after cardiac arrest. Their pattern and prevalence are not well documented. We used the Computer Assessment of Mild Cognitive Impairment (CAMCI), the Montreal Cognitive Assessment (MOCA) and the 41 Cent Test (41CT) to assess cognitive impairment in cardiac arrest survivors and examine the exams' diagnostic accuracy. We hypothesized that the scores of these exams would indicate the presence of cognitive impairment in arrest survivors, that the overall scores on the three study assessments would correlate with one another, and that the 41CT, MOCA, and executive function element of the CAMCI would vary independently from other non-executive CAMCI components, reflecting executive function impairment after cardiac arrest.

Methods:Four researchers administered the CAMCI, MOCA, and/or the 41CT to cardiac arrest survivors after discharge from the intensive care unit between 2010 and 2015. Physicians screened patients with the Mini-Mental State Exam to determine when this cognitive testing was feasible, generally when the patient was able to score 20-25 points on the MMSE. We performed pairwise correlations between the different subscales' and tests' scores.

Results:One hundred and fourteen participants completed the CAMCI, of which 38 (33.3%) participants additionally completed the MOCA and 41CT. The median (IQR) percentile score for CAMCI for all 114 participants was 33.5 (18.3, 49.8), which corresponds to moderately low risk of impairment. The median (IQR) for the MOCA was 22.0 (19, 24.8) out of a possible 30, which is considered indicative of abnormal cognitive function, and for the 41CT was 6 (5, 7) out of a possible 7 points when all 38 participants were included. MOCA correlated strongly with the overall CAMCI score (r=0.71); the CAMCI correlated moderately strongly with the 41CT (r=0.62) and the MOCA and 41CT were moderately strongly correlated with each other (r=0.56). When all 114 CAMCI scores were considered, the Executive Accuracy subscale was strongly correlated with the overall CAMCI score (r=0.81).

Conclusion:The CAMCI detects cognitive impairment after cardiac arrest. The MOCA correlates strongly with the overall CAMCI and the executive function subscale of the CAMCI. The 41CT as appears less effective than the MOCA in detecting cognitive deficits.

SUBMITTER: Koller AC

PROVIDER: S-EPMC7702001 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature

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Comparison of three cognitive exams in cardiac arrest survivors.

Koller Allison C AC Rittenberger Jon C JC Repine Melissa J MJ Morgan Patrick W PW Kristan Jeffrey J Callaway Clifton W CW

Resuscitation 20170513

<h4>Background</h4>Cognitive deficits may detract from quality of life after cardiac arrest. Their pattern and prevalence are not well documented. We used the Computer Assessment of Mild Cognitive Impairment (CAMCI), the Montreal Cognitive Assessment (MOCA) and the 41 Cent Test (41CT) to assess cognitive impairment in cardiac arrest survivors and examine the exams' diagnostic accuracy. We hypothesized that the scores of these exams would indicate the presence of cognitive impairment in arrest su ...[more]

PMID: 28511984

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Project description:IntroductionCognitive impairment and psychopathology caused by brain hypoxia and the traumatic impact of critical illness are common in cardiac arrest survivors and can lead to negative consequences of everyday life functioning, and further impact mental health in relatives. Most studies have dealt with the mere survival rate after cardiac arrest and not with long-term consequences to mental health in cardiac arrest survivors. Importantly, we face a gap in our knowledge about suitable screening tools in the early post-arrest phase for long-term risk prediction of mental health problems. This study aims to evaluate the efficacy of a novel screening procedure to predict risk of disabling cognitive impairment and psychopathology 3 months after cardiac arrest. Furthermore, the study aims to evaluate long-term prevalence of psychopathology in relatives.Methods and analysesIn this multicentre prospective cohort study, out-of-hospital cardiac arrest survivors and their relatives will be recruited. The post-arrest screening includes the Montreal Cognitive Assessment (MoCA), the Hospital Anxiety and Depression Scale (HADS), the Impact of Event Scale-Revised (IES-R) and the Acute Stress Disorder Interview (ASDI) and is conducted during hospitalisation. In a subsample of the patients, functional MRI is done, and cortisol determination collected. At 3-month follow-up, the primary study outcomes for 200 survivors include the Danish Affective Verbal Learning Test-26 (VAMT-26), Delis-Kaplan Executive Function System tests (trail making, colour-word interference, word and design fluency), Rey's Complex Figure and Letter-number sequencing subtest of Wechsler Adult Intelligence Scale-IV, HADS and IES-R. For the relatives, they include HADS and IES-R.Ethics and disseminationThe study is approved by the local regional Research Ethics Committee (H-18046155) and the Danish Data Protection Agency (RH-2017-325, j.no.05961) and follows the latest version of the Declaration of Helsinki. The results will be published in peer-reviewed journals and may impact the follow-up of cardiac arrest survivors.

Project description:BackgroundAmong cardiac arrest survivors, about half remain comatose 72 h following return of spontaneous circulation (ROSC). Prognostication of poor neurological outcome in this population may result in withdrawal of life-sustaining therapy and death. The objective of this article is to provide recommendations on the reliability of select clinical predictors that serve as the basis of neuroprognostication and provide guidance to clinicians counseling surrogates of comatose cardiac arrest survivors.MethodsA narrative systematic review was completed using Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology. Candidate predictors, which included clinical variables and prediction models, were selected based on clinical relevance and the presence of an appropriate body of evidence. The Population, Intervention, Comparator, Outcome, Timing, Setting (PICOTS) question was framed as follows: "When counseling surrogates of comatose adult survivors of cardiac arrest, should [predictor, with time of assessment if appropriate] be considered a reliable predictor of poor functional outcome assessed at 3 months or later?" Additional full-text screening criteria were used to exclude small and lower-quality studies. Following construction of the evidence profile and summary of findings, recommendations were based on four GRADE criteria: quality of evidence, balance of desirable and undesirable consequences, values and preferences, and resource use. In addition, good practice recommendations addressed essential principles of neuroprognostication that could not be framed in PICOTS format.ResultsEleven candidate clinical variables and three prediction models were selected based on clinical relevance and the presence of an appropriate body of literature. A total of 72 articles met our eligibility criteria to guide recommendations. Good practice recommendations include waiting 72 h following ROSC/rewarming prior to neuroprognostication, avoiding sedation or other confounders, the use of multimodal assessment, and an extended period of observation for awakening in patients with an indeterminate prognosis, if consistent with goals of care. The bilateral absence of pupillary light response > 72 h from ROSC and the bilateral absence of N20 response on somatosensory evoked potential testing were identified as reliable predictors. Computed tomography or magnetic resonance imaging of the brain > 48 h from ROSC and electroencephalography > 72 h from ROSC were identified as moderately reliable predictors.ConclusionsThese guidelines provide recommendations on the reliability of predictors of poor outcome in the context of counseling surrogates of comatose survivors of cardiac arrest and suggest broad principles of neuroprognostication. Few predictors were considered reliable or moderately reliable based on the available body of evidence.

Project description:Little is known about the long-term outcomes in elderly survivors of in-hospital cardiac arrest. We determined rates of long-term survival and readmission among survivors of in-hospital cardiac arrest and examined whether these outcomes differed according to demographic characteristics and neurologic status at discharge.We linked data from a national registry of inpatient cardiac arrests with Medicare files and identified 6972 adults, 65 years of age or older, who were discharged from the hospital after surviving an in-hospital cardiac arrest between 2000 and 2008. Predictors of 1-year survival and of readmission to the hospital were examined.One year after hospital discharge, 58.5% of the patients were alive, and 34.4% had not been readmitted to the hospital. The risk-adjusted rate of 1-year survival was lower among older patients than among younger patients (63.7%, 58.6%, and 49.7% among patients 65 to 74, 75 to 84, and ?85 years of age, respectively; P<0.001), among men than among women (58.6% vs. 60.9%, P=0.03), and among black patients than among white patients (52.5% vs. 60.4%, P=0.001). The risk-adjusted rate of 1-year survival was 72.8% among patients with mild or no neurologic disability at discharge, as compared with 61.1% among patients with moderate neurologic disability, 42.2% among those with severe neurologic disability, and 10.2% among those in a coma or vegetative state (P<0.001 for all comparisons). Moreover, 1-year readmission rates were higher among patients who were black, those who were women, and those who had substantial neurologic disability (P<0.05 for all comparisons). These differences in survival and readmission rates persisted at 2 years. At 3 years, the rate of survival among survivors of in-hospital cardiac arrest was similar to that of patients who had been hospitalized with heart failure and were discharged alive (43.5% and 44.9%, respectively; risk ratio, 0.98; 95% confidence interval, 0.95 to 1.02; P=0.35).Among elderly survivors of in-hospital cardiac arrest, nearly 60% were alive at 1 year, and the rate of 3-year survival was similar to that among patients with heart failure. Survival and readmission rates differed according to the demographic characteristics of the patients and neurologic status at discharge. (Funded by the American Heart Association and the National Heart, Lung, and Blood Institute.).

Project description:Accurate estimation of favorable neurological survival after in-hospital cardiac arrest could provide critical information for physicians, patients, and families.Within the Get With the Guidelines-Resuscitation registry, we identified 42,957 patients from 551 hospitals admitted between January 2000 and October 2009 who were successfully resuscitated from an in-hospital cardiac arrest. A simple prediction tool for favorable neurological survival in patients successfully resuscitated from an in-hospital cardiac arrest was developed using multivariate logistic regression, with two-thirds of the sample randomly selected as the derivation cohort and one-third as the validation cohort. Favorable neurological status was defined as the absence of severe neurological deficits (cerebral performance category score of ?2).Rates of favorable neurological survival were similar in the derivation cohort (7052 patients [24.6%]) and validation cohort (3510 patients [24.5%]). Eleven variables were associated with favorable neurological survival: younger age, initial cardiac arrest rhythm of ventricular fibrillation or pulseless ventricular tachycardia with a defibrillation time of 2 minutes or less, baseline neurological status without disability, arrest location in a monitored unit, shorter duration of resuscitation, and absence of mechanical ventilation, renal insufficiency, hepatic insufficiency, sepsis, malignant disease, and hypotension prior to the arrest. The model had excellent discrimination (C statistic of 0.80 for both the derivation and validation cohorts) and calibration. The prediction tool demonstrated the ability to identify patients across a wide range of rates of favorable neurological survival: patients in the top decile had a 70.7% probability of this outcome, whereas patients in the bottom decile had a 2.8% probability.Among successfully resuscitated patients with an in-hospital cardiac arrest, a simple, bedside prediction tool provides robust estimates of the probability of favorable neurological survival. This tool permits accurate prognostication after cardiac arrest for physicians, patients, and families.

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Comparison of three cognitive exams in cardiac arrest survivors.

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Comparison of three cognitive exams in cardiac arrest survivors.

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