The Overall Performance Category and Cerebral Performance Category to assess neurologic intact survival at discharge from a cardiac arrest. A good estimate of patients’ functioning?

Resuscitation ◽  
2013 ◽  
Vol 84 ◽  
pp. S53
Author(s):  
Stefanie Beesems ◽  
Kim Wittebrood ◽  
Rob de Haan ◽  
Rudolph Koster
2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
C Merino Argos ◽  
I Marco Clement ◽  
S.O Rosillo Rodriguez ◽  
L Martin Polo ◽  
E Arbas Redondo ◽  
...  

Abstract Background Cardiopulmonary resuscitation (CPR) manoeuvres involve vigorous compressions with the proper depth and rate in order to keep sufficient perfusion to organs, especially the brain. Accordingly, high incidences of CPR-related injuries (CPR-RI) have been observed in survivors after cardiac arrest (CA). Purpose To analyse whether CPR-related injuries have an impact on the survival and neurological outcomes of comatose survivors after CA. Methods Observational prospective database of consecutive patients (pts) admitted to the acute cardiac care unit of a tertiary university hospital after in-hospital and out-of-hospital CA (IHCA and OHCA) treated with targeted temperature management (TTM 32–34°) from August 2006 to December 2019. CPR-RI were diagnosed by reviewing medical records and analysing image studies during hospitalization. Results A total of 498 pts were included; mean age was 62.7±14.5 years and 393 (78.9%) were men. We found a total of 145 CPR-RI in 109 (21.9%) pts: 79 rib fractures, 20 sternal fractures, 5 hepatic, 5 gastrointestinal, 3 spleen, 1 kidney, 26 lung and 6 heart injuries. Demographic characteristics and cardiovascular risk factors did not differ between the non-CPR-RI group and CPR-RI group. Also, we did not find differences in CA features (Table 1). Survival at discharge was higher in the CPR-RI group [74 (67.8%) vs 188 (48.3%); p<0.001]. Moreover, Cerebral Performance Category (CPC) 1–2 within a 3-month follow-up was significantly higher in the CPR-RI group [(71 (65.1%) vs 168 (43.2%); p<0.001; Figure 1]. Finally, pts who recieved blood transfusions were proportionally higher in the CPR-RI group [34 (32.1%) vs 65 (16.7%)]; p=0.004). Conclusions In our cohort, the presence of CPR-RI was associated with higher survival at discharge and better neurological outcomes during follow-up. Figure 1 Funding Acknowledgement Type of funding source: None


Circulation ◽  
2018 ◽  
Vol 138 (Suppl_2) ◽  
Author(s):  
Katharyn L Flickinger ◽  
Melissa J Repine ◽  
Stephany Jaramillo ◽  
Allison C Koller ◽  
Margo Holm ◽  
...  

Introduction: Cognitive and physical impairments are common in cardiac arrest survivors. Global measures including the Modified Rankin Scale (mRS), Cerebral Performance Category (CPC) and the 10-domain CPC-Extended (CPC-E) tend to improve over 1 year. The CPC-E is scored from 1-5 with higher scores signifying greater impairment. However, with the CPC-E, individual functional domains (alertness, logical thinking, attention, motor skills, short-term memory, basic and complex activities of daily living (ADL), mood, fatigue, and return to work) may recover at different rates. Hypothesis: We hypothesized that patients would have recovery in all domains of the CPC-E at 1 year after index cardiac arrest. Methods: A prospective cohort study of cardiac arrest survivors was conducted between 2/1/16 and 5/31/17. Chart review was done for baseline demographic data. Outcome measures including mRS, CPC, and CPC-E scores were assessed at discharge, 3 months, 6 months, and 1 year. We defined recovery of a CPC-E domain when >90% of patients had scores of 1-2 in that domain. Results: Of 71 subjects, 35 completed the CPC-E at discharge, 35 at 3 months, 25 at 6 months and 31 at 1 year. The most common reasons for exclusion were patient declined or were lost to follow up. The majority (N=37; 52%) were female, with a mean (SD) age of 58(17) years. Most arrests occurred out of hospital (N= 49; 69%), 27 (38%) had a shockable rhythm and the majority (N=37; 54%) were discharged home. CPC-E domains of alertness (N=35, 100%) logical thinking (N=35; 100%), and attention (N=33; 94%) recovered by hospital discharge. BADLs were recovered by 3 months (N=33; 94%). The majority of patients (N=24;77%) experienced slight-to-no disability or symptoms (mRS 0-2 / CPC 1-2) at 1 year follow up. CPC-E short term memory (67%), motor (87%), mood (87%), fatigue (13%), complex ADL (74%), and return to work (55%) did not recover fully by 1 year. Conclusions: In survivors of cardiac arrest, CPC-E domains of alertness, logical thinking, and attention recover rapidly, while domains of short term memory, motor, mood, fatigue, complex ADL and ability to return to work are chronically impaired 1 year after arrest. Interventions to improve recovery in these domains are needed.


Circulation ◽  
2018 ◽  
Vol 138 (Suppl_2) ◽  
Author(s):  
Hiroyuki Hanada ◽  
Yoshio Tahara ◽  
Satoshi Yasuda ◽  
Teruo Noguchi ◽  
Kunihiro Nishimura ◽  
...  

Backgrounds: The population of elderly people aged 65 years or older in 2014 is 33 million, and the aging rate (proportion of the total population) is 26.0% in Japan. Victims facing to out of hospital cardiac arrest (OHCA) are getting older and older. Emergency medical system (EMS) in Japan must do the same resuscitation protocols once called to the patient with OHCA, even when he or she is very old and activity of daily life is very low. We need to clarify whether same resuscitation protocols are required to very highly aged patients with OHCA or not. Methods and Results: From January 2005 through December 2014, we conducted a prospective, population-based, observational study involving the consecutive patients across Japan who had OHCA (n= 1,299,784). The percentage of patients with OHCA aged more than 80 years old was increasing from 37.1% in 2005 to 47.8% in 2014 by 1% each year. Survival at one month after OHCA with cerebral performance category (CPC) scale 1 or 2 were 4,368 out of total 318,590 OHCA (1.4%) in 80’s, 1043 out of 126,546 (0.8%) in 90’s, and 35 out of 5,544 (0.6%) in aged more than 100 (from 100 to 114). Survival at one month after OHCA with CPC scale 1 or 2 was 11.084 out of 234,366 (4.7%) in 50- 60’s. Patients with witnessed OHCA with shockable rhythm and by-stander CPR survived to CPC 1 or 2 at one month after OHCA were 8.0% in 80’s, 4.1% in 90’s, 0 in aged more than 100, and 22.2% in 50-60’s respectably. Conclusion: Number of survivors with CPC 1 or 2 were very few in patients with OHCA aged more than 80 years old, but still existed. Although the same resuscitation protocols are needed for highly aged victims with OHCA, another system which arrow EMS to stop resuscitation should be established in the highly aging society.


Neurology ◽  
2020 ◽  
Vol 94 (16) ◽  
pp. e1675-e1683 ◽  
Author(s):  
Giuseppina Barbella ◽  
Jong Woo Lee ◽  
Vincent Alvarez ◽  
Jan Novy ◽  
Mauro Oddo ◽  
...  

ObjectiveAfter cardiac arrest (CA), epileptiform EEG, occurring in about 1/3 of patients, often but not invariably heralds poor prognosis. We tested the hypothesis that a combination of specific EEG features identifies patients who may regain consciousness despite early epileptiform patterns.MethodsWe retrospectively analyzed a registry of comatose patients post-CA (2 Swiss centers), including those with epileptiform EEG. Background and epileptiform features in EEGs 12–36 hours or 36–72 hours from CA were scored according to the American Clinical Neurophysiology Society nomenclature. Best Cerebral Performance Category (CPC) score within 3 months (CPC 1–3 vs 4–5) was the primary outcome. Significant EEG variables were combined in a score assessed with receiver operating characteristic curves, and independently validated in a US cohort; its correlation with serum neuron-specific enolase (NSE) was also tested.ResultsOf 488 patients, 107 (21.9%) had epileptiform EEG <72 hours; 18 (17%) reached CPC 1–3. EEG 12–36 hours background continuity ≥50%, absence of epileptiform abnormalities (p < 0.00001 each), 12–36 and 36–72 hours reactivity (p < 0.0001 each), 36–72 hours normal background amplitude (p = 0.0004), and stimulus-induced discharges (p = 0.0001) correlated with favorable outcome. The combined 6-point score cutoff ≥2 was 100% sensitive (95% confidence interval [CI], 78%–100%) and 70% specific (95% CI, 59%–80%) for CPC 1–3 (area under the curve [AUC], 0.98; 95% CI, 0.94–1.00). Increasing score correlated with NSE (ρ = −0.46, p = 0.0001). In the validation cohort (41 patients), the score was 100% sensitive (95% CI, 60%–100%) and 88% specific (95% CI, 73%–97%) for CPC 1–3 (AUC, 0.96; 95% CI, 0.91–1.00).ConclusionPrognostic value of early epileptiform EEG after CA can be estimated combining timing, continuity, reactivity, and amplitude features in a score that correlates with neuronal damage.


2011 ◽  
Vol 2011 ◽  
pp. 1-7 ◽  
Author(s):  
Pascal Stammet ◽  
Yvan Devaux ◽  
Francisco Azuaje ◽  
Christophe Werer ◽  
Christiane Lorang ◽  
...  

Objective. Determine the potential of procalcitonin (PCT) to predict neurological outcome after hypothermia treatment following cardiac arrest.Methods. Retrospective analysis of patient data over a 2-year period. Mortality and neurological outcome of survivors were determined 6 months after cardiac arrest using the Cerebral Performance Category (CPC) score.Results. Data from 53 consecutive patients were analyzed. Median age was 63 (54–71) and 79% were male. Twenty-seven patients had good outcome (CPC ≤ 2) whereas 26 had severe neurological sequelae or died (CPC 3–5). At 48 h, after regaining normothermia, PCT was significantly higher in patients with bad outcome compared to those with good outcome: 3.38 (1.10–24.48) versus 0.28 (0–0.75) ng/mL (). PCT values correlated with bad neurological outcome (, ) and predicted outcome with an area under the curve of 0.84 (95% CI 0.73–0.96). A cutoff point of 1 ng/mL provided a sensitivity of 85% and a specificity of 81%. Above a PCT level of 16 ng/mL, no patient regained consciousness. PCT provided an additive value over simplified acute physiology score II.Conclusions. PCT might be an ancillary marker for outcome prediction after cardiac arrest treated by induced hypothermia.


2018 ◽  
Vol 8 (3) ◽  
pp. 249-256 ◽  
Author(s):  
Alexandra S. Reynolds ◽  
Benjamin Rohaut ◽  
Manisha G. Holmes ◽  
David Robinson ◽  
William Roth ◽  
...  

BackgroundIt is unknown whether postanoxic cortical and subcortical myoclonus are distinct entities with different prognoses.MethodsIn this retrospective cohort study of 604 adult survivors of cardiac arrest over 8.5 years, we identified 111 (18%) patients with myoclonus. Basic demographics and clinical characteristics of myoclonus were collected. EEG reports, and, when available, raw video EEG, were reviewed, and all findings adjudicated by 3 authors blinded to outcomes. Myoclonus was classified as cortical if there was a preceding, time-locked electrographic correlate and otherwise as subcortical. Outcome at discharge was determined using Cerebral Performance Category.ResultsPatients with myoclonus had longer arrests with less favorable characteristics compared to patients without myoclonus. Cortical myoclonus occurred twice as often as subcortical myoclonus (59% vs 23%, respectively). Clinical characteristics during hospitalization did not distinguish the two. Rates of electrographic seizures were higher in patients with cortical myoclonus (43%, vs 8% with subcortical). Survival to discharge was worse for patients with myoclonus compared to those without (26% vs 39%, respectively), but did not differ between subcortical and cortical myoclonus (24% and 26%, respectively). Patients with cortical myoclonus were more likely to be discharged in a comatose state than those with subcortical myoclonus (82% vs 33%, respectively). Among survivors, good functional outcome at discharge was equally possible between those with cortical and subcortical myoclonus (12% and 16%, respectively).ConclusionsCortical and subcortical myoclonus are seen in every sixth patient with cardiac arrest and cannot be distinguished using clinical criteria. Either condition may have good functional outcomes.


BMC Neurology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Konrad Kirsch ◽  
Stefan Heymel ◽  
Albrecht Günther ◽  
Kathleen Vahl ◽  
Thorsten Schmidt ◽  
...  

Abstract Background This study aimed to assess the prognostic value regarding neurologic outcome of CT neuroimaging based Gray-White-Matter-Ratio measurement in patients after resuscitation from cardiac arrest. Methods We retrospectively evaluated CT neuroimaging studies of 91 comatose patients resuscitated from cardiac arrest and 46 non-comatose controls. We tested the diagnostic performance of Gray-White-Matter-Ratio compared with established morphologic signs of hypoxic-ischaemic brain injury, e. g. loss of distinction between gray and white matter, and laboratory parameters, i. e. neuron-specific enolase, for the prediction of poor neurologic outcomes after resuscitated cardiac arrest. Primary endpoint was neurologic function assessed with cerebral performance category score 30 days after the index event. Results Gray-White-Matter-Ratio showed encouraging interobserver variability (ICC 0.670 [95% CI: 0.592–0.741] compared to assessment of established morphologic signs of hypoxic-ischaemic brain injury (Fleiss kappa 0.389 [95% CI: 0.320–0.457]) in CT neuroimaging studies. It correlated with cerebral performance category score with lower Gray-White-Matter-Ratios associated with unfavourable neurologic outcomes. A cut-off of 1.17 derived from the control population predicted unfavourable neurologic outcomes in adult survivors of cardiac arrest with 100% specificity, 50.3% sensitivity, 100% positive predictive value, and 39.3% negative predictive value. Gray-White-Matter-Ratio prognostic power depended on the time interval between circulatory arrest and CT imaging, with increasing sensitivity the later the image acquisition was executed. Conclusions A reduced Gray-White-Matter-Ratio is a highly specific prognostic marker of poor neurologic outcomes early after resuscitation from cardiac arrest. Sensitivity seems to be dependent on the time interval between circulatory arrest and image acquisition, with limited value within the first 12 h.


Critical Care ◽  
2020 ◽  
Vol 24 (1) ◽  
Author(s):  
Michael Müller ◽  
Andrea O. Rossetti ◽  
Rebekka Zimmermann ◽  
Vincent Alvarez ◽  
Stephan Rüegg ◽  
...  

Abstract Background Early prognostication in patients with acute consciousness impairment is a challenging but essential task. Current prognostic guidelines vary with the underlying etiology. In particular, electroencephalography (EEG) is the most important paraclinical examination tool in patients with hypoxic ischemic encephalopathy (HIE), whereas it is not routinely used for outcome prediction in patients with traumatic brain injury (TBI). Method Data from 364 critically ill patients with acute consciousness impairment (GCS ≤ 11 or FOUR ≤ 12) of various etiologies and without recent signs of seizures from a prospective randomized trial were retrospectively analyzed. Random forest classifiers were trained using 8 visual EEG features—first alone, then in combination with clinical features—to predict survival at 6 months or favorable functional outcome (defined as cerebral performance category 1–2). Results The area under the ROC curve was 0.812 for predicting survival and 0.790 for predicting favorable outcome using EEG features. Adding clinical features did not improve the overall performance of the classifier (for survival: AUC = 0.806, p = 0.926; for favorable outcome: AUC = 0.777, p = 0.844). Survival could be predicted in all etiology groups: the AUC was 0.958 for patients with HIE, 0.955 for patients with TBI and other neurosurgical diagnoses, 0.697 for patients with metabolic, inflammatory or infectious causes for consciousness impairment and 0.695 for patients with stroke. Training the classifier separately on subgroups of patients with a given etiology (and thus using less training data) leads to poorer classification performance. Conclusions While prognostication was best for patients with HIE and TBI, our study demonstrates that similar EEG criteria can be used in patients with various causes of consciousness impairment, and that the size of the training set is more important than homogeneity of ACI etiology.


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