| 1. |
- Andersson, Axel, et al.
(författare)
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In-hospital versus out-of-hospital cardiac arrest : Characteristics and outcomes in patients admitted to intensive care after return of spontaneous circulation
- 2022
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Ingår i: Resuscitation. - : Elsevier BV. - 0300-9572. ; 176, s. 1-8
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Tidskriftsartikel (refereegranskat)abstract
- Introduction: Cardiac arrest is characterized depending on location as in-hospital cardiac arrest (IHCA) or out-of-hospital cardiac arrest (OHCA). Strategies for Post Cardiac Arrest Care were developed based on evidence from OHCA. The aim of this study was to compare characteristics and outcomes in patients admitted to intensive care after IHCA and OHCA. Methods: A retrospective multicenter observational study of adult survivors of cardiac arrest admitted to intensive care in southern Sweden between 2014–2018. Data was collected from registries and medical notes. The primary outcome was neurological outcome according to the Cerebral Performance Category (CPC) scale at 2–6 months. Results: 799 patients were included, 245 IHCA and 554 OHCA. IHCA patients were older, less frequently male and less frequently without comorbidity. In IHCA the first recorded rhythm was more often non-shockable, all delay-times (ROSC, no-flow, low-flow, time to advanced life support) were shorter and a cardiac cause of the arrest was less common. Good long-term neurological outcome was more common after IHCA than OHCA. In multivariable analysis, witnessed arrest, age, shorter arrest duration (no-flow and low-flow times), low lactate, shockable rhythm, and a cardiac cause were all independent predictors of good long-term neurological outcome whereas location of arrest (IHCA vs OHCA) was not. Conclusion: In patients admitted to intensive care after cardiac arrest, patients who suffered IHCA vs OHCA differed in demographics, co-morbidities, cardiac arrest characteristics and outcomes. In multivariable analyses, cardiac arrest characteristics were independent predictors of outcome, whereas location of arrest (IHCA vs OHCA) was not.
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| 2. |
- Andersson, Peder, et al.
(författare)
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Predicting neurological outcome after out-of-hospital cardiac arrest with cumulative information; development and internal validation of an artificial neural network algorithm
- 2021
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Ingår i: Critical Care. - : Springer Science and Business Media LLC. - 1364-8535. ; 25:1
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Tidskriftsartikel (refereegranskat)abstract
- BackgroundPrognostication of neurological outcome in patients who remain comatose after cardiac arrest resuscitation is complex. Clinical variables, as well as biomarkers of brain injury, cardiac injury, and systemic inflammation, all yield some prognostic value. We hypothesised that cumulative information obtained during the first three days of intensive care could produce a reliable model for predicting neurological outcome following out-of-hospital cardiac arrest (OHCA) using artificial neural network (ANN) with and without biomarkers.MethodsWe performed a post hoc analysis of 932 patients from the Target Temperature Management trial. We focused on comatose patients at 24, 48, and 72 h post-cardiac arrest and excluded patients who were awake or deceased at these time points. 80% of the patients were allocated for model development (training set) and 20% for internal validation (test set). To investigate the prognostic potential of different levels of biomarkers (clinically available and research-grade), patients' background information, and intensive care observation and treatment, we created three models for each time point: (1) clinical variables, (2) adding clinically accessible biomarkers, e.g., neuron-specific enolase (NSE) and (3) adding research-grade biomarkers, e.g., neurofilament light (NFL). Patient outcome was the dichotomised Cerebral Performance Category (CPC) at six months; a good outcome was defined as CPC 1-2 whilst a poor outcome was defined as CPC 3-5. The area under the receiver operating characteristic curve (AUROC) was calculated for all test sets.ResultsAUROC remained below 90% when using only clinical variables throughout the first three days in the ICU. Adding clinically accessible biomarkers such as NSE, AUROC increased from 82 to 94% (p<0.01). The prognostic accuracy remained excellent from day 1 to day 3 with an AUROC at approximately 95% when adding research-grade biomarkers. The models which included NSE after 72 h and NFL on any of the three days had a low risk of false-positive predictions while retaining a low number of false-negative predictions.ConclusionsIn this exploratory study, ANNs provided good to excellent prognostic accuracy in predicting neurological outcome in comatose patients post OHCA. The models which included NSE after 72 h and NFL on all days showed promising prognostic performance.
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| 3. |
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| 4. |
- Annborn, Martin, et al.
(författare)
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The Combination of Biomarkers for Prognostication of Long-Term Outcome in Patients Treated with Mild Hypothermia After Out-of-Hospital Cardiac Arrest-A Pilot Study
- 2016
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Ingår i: Therapeutic hypothermia and temperature management. - : Mary Ann Liebert Inc. - 2153-7933 .- 2153-7658. ; 6:2, s. 85-90
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Tidskriftsartikel (refereegranskat)abstract
- To explore if the brain biomarker neuron-specific enolase (NSE) in combination with a biomarker for stress; CT-proAVP (copeptin), oxidation; peroxiredoxin 4 (Prx4), inflammation; procalcitonin (PCT), or with biomarkers from the heart; midregional proatrial natriuretic peptide (MR-proANP), or troponin T (TnT) can improve the prognostic accuracy of long-term outcome after out-of-hospital cardiac arrest (OHCA). Serum samples from cardiac arrest patients, treated at 33°C for 24 hours, were collected serially at 12, 24, and 48 hours after cardiac arrest. The concentration of the investigated biomarkers was measured using stored samples, and long-term outcome was evaluated by the cerebral performance category (CPC) at 6 months. Poor outcome was defined as CPC 3-5. Sixty-two patients with OHCA of presumed cardiac cause were included. NSE had best prognostic accuracy for poor outcome at 48 hours with a receiver operating characteristic area under curve (AUC) of 0.94 (95% confidence interval [CI] 0.87-1). The combination of NSE with TnT, both at 48 hours, increased the AUC to 0.98 (95% CI 0.95-1, likelihood ratio [LR] test p-value 0.07, net reclassification index [NRI] <0.001); NSE and MR-proANP, both at 12 hours, yielded an AUC of 0.91 (95% CI 0.80-1, LR test p-value 0.0014, NRI p-value 0.003); NSE at 48 hours with MR-proANP at 12 hours yielded an AUC of 0.97 (95% CI 0.92-1, LR test p-value 0.055, NRI p-value 0.04). This pilot study suggests that a combination of biomarkers with NSE could be beneficial for improving early prognostication of long-term outcome following OHCA.
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| 5. |
- Arctaedius, Isabelle, et al.
(författare)
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2021 European Resuscitation Council/ European Society of Intensive Care Medicine Algorithm for Prognostication of Poor Neurological Outcome After Cardiac Arrest—Can Entry Criteria Be Broadened?
- 2024
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Ingår i: Critical Care Medicine. - 0090-3493. ; 52:4, s. 531-541
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Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVES: To explore broadened entry criteria of the 2021 European Resuscitation Council/European Society of Intensive Care Medicine (ERC/ ESICM) algorithm for neuroprognostication including patients with ongoing sedation and Glasgow Coma Scale-Motor score (GCS-M) scores 4–5. DESIGN: Retrospective multicenter observational study. SETTING: Four ICUs, Skane, Sweden. PATIENTS: Postcardiac arrest patients managed at targeted temperature 36°C, 2014–2018. Neurologic outcome was assessed after 2–6 months according to the Cerebral Performance Category scale. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: In 794 included patients, median age was 69.5 years (interquartile range, 60.6–77.0 yr), 241 (30.4%) were female, 550 (69.3%) had an out-of-hospital cardiac arrest, and 314 (41.3%) had a shockable rhythm. Four hundred ninety-five patients were dead at follow-up, 330 of 495 died after a decision on withdrawal of life-sustaining therapies. At 72 hours after cardiac arrest 218 patients remained unconscious. The entry criteria of the original algorithm (GCS-M 1–3) was fulfilled by 163 patients and 115 patients with poor outcome were identified, with false positive rate (FPR) of 0% (95% CI, 0–79.4%) and sensitivity of 71.0% (95% CI, 63.6–77.4%). Inclusion of patients with ongoing sedation identified another 13 patients with poor outcome, generating FPR of 0% (95% CI, 0–65.8%) and sensitivity of 69.6% (95% CI, 62.6–75.8%). Inclusion of all unconscious patients (GCS-M 1–5), regardless of sedation, identified one additional patient, generating FPR of 0% (95% CI, 0–22.8) and sensitivity of 62.9% (95% CI, 56.1–69.2). The few patients with true negative prediction (patients with good outcome not fulfilling guideline criteria of a poor outcome) generated wide 95% CI for FPR. CONCLUSION: The 2021 ERC/ESICM algorithm for neuroprognostication predicted poor neurologic outcome with a FPR of 0%. Broadening inclusion criteria to include all unconscious patients regardless of ongoing sedation identified an additional small number of patients with poor outcome but did not affect the FPR. Results are limited by high rate of withdrawal of life-sustaining therapies and few patients with true negative prediction.
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| 6. |
- Ashton, Nicholas J., et al.
(författare)
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Alzheimer Disease Blood Biomarkers in Patients With Out-of-Hospital Cardiac Arrest
- 2023
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Ingår i: Jama Neurology. - : American Medical Association (AMA). - 2168-6149. ; 80:4, s. 388-396
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Tidskriftsartikel (refereegranskat)abstract
- IMPORTANCE Blood phosphorylated tau (p-tau) and amyloid-13 peptides (A13) are promising peripheral biomarkers of Alzheimer disease (AD) pathology. However, their potential alterations due to alternative mechanisms, such as hypoxia in patients resuscitated from cardiac arrest, are not known. OBJECTIVE To evaluate whether the levels and trajectories of blood p-tau, A1342, and A1340 following cardiac arrest, in comparison with neural injury markers neurofilament light (NfL) and total tau (t-tau), can be used for neurological prognostication following cardiac arrest.DESIGN, SETTING, AND PARTICIPANTS This prospective clinical biobank study used data from the randomized Target Temperature Management After Out-of-Hospital Cardiac Arrest (TTM) trial. Unconscious patients with cardiac arrest of presumed cardiac origin were included between November 11, 2010, and January 10, 2013, from 29 international sites. Serum analysis for serum NfL and t-tau were performed between August 1 and August 23, 2017. Serum p-tau, A1342, and A1340 were analyzed between July 1 and July 15, 2021, and between May 13 and May 25, 2022. A total of 717 participants from the TTM cohort were examined: an initial discovery subset (n = 80) and a validation subset. Both subsets were evenly distributed for good and poor neurological outcome after cardiac arrest.EXPOSURES Serum p-tau, A1342, and A1340 concentrations using single molecule array technology. Serum levels of NfL and t-tau were included as comparators.MAIN OUTCOMES AND MEASURES Blood biomarker levels at 24 hours, 48 hours, and 72 hours after cardiac arrest. Poor neurologic outcome at 6-month follow-up, defined according to the cerebral performance category scale as category 3 (severe cerebral disability), 4 (coma), or 5 (brain death).RESULTS This study included 717 participants (137 [19.1%] female and 580 male [80.9%]; mean [SD] age, 63.9 [13.5] years) who experienced out-of-hospital cardiac arrest. Significantly elevated serum p-tau levels were observed at 24 hours, 48 hours, and 72 hours in cardiac arrest patients with poor neurological outcome. The magnitude and prognostication of the change was greater at 24 hours (area under the receiver operating characteristic curve [AUC], 0.96; 95% CI, 0.95-0.97), which was similar to NfL (AUC, 0.94; 95% CI, 0.92-0.96). However, at later time points, p-tau levels decreased and were weakly associated with neurological outcome. In contrast, NfL and t-tau maintained high diagnostic accuracies, even 72 hours after cardiac arrest. Serum A1342 and A1340 concentrations increased over time in most patients but were only weakly associated with neurological outcome.CONCLUSIONS AND RELEVANCE In this case-control study, blood biomarkers indicative of AD pathology demonstrated different dynamics of change after cardiac arrest. The increase of p-tau at 24 hours after cardiac arrest suggests a rapid secretion from the interstitial fluid following hypoxic-ischemic brain injury rather than ongoing neuronal injury like NfL or t-tau. In contrast, delayed increases of A13 peptides after cardiac arrest indicate activation of amyloidogenic processing in response to ischemia.
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| 7. |
- Backman, Sofia, et al.
(författare)
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Electroencephalographic characteristics of status epilepticus after cardiac arrest
- 2017
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Ingår i: Clinical Neurophysiology. - : Elsevier BV. - 1388-2457. ; 128:4, s. 681-688
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Tidskriftsartikel (refereegranskat)abstract
- Objective: To describe the electrophysiological characteristics and pathophysiological significance of electrographic status epilepticus (ESE) after cardiac arrest and specifically compare patients with unequivocal ESE to patients with rhythmic or periodic borderline patterns defined as possible ESE. Methods: Retrospective cohort study of consecutive patients treated with targeted temperature management and monitored with simplified continuous EEG. Patients with ESE were identified and electrographically characterised until 72. h after ESE start using the standardised terminology of the American Clinical Neurophysiology Society. Results: ESE occurred in 41 of 127 patients and 22 fulfilled the criteria for unequivocal ESE, which typically appeared early and transiently. Three of the four survivors had unequivocal ESE, starting after rewarming from a continuous background. There were no differences between the groups of unequivocal ESE and possible ESE regarding outcome, neuron-specific enolase levels or prevalence of reported clinical convulsions. Conclusion: ESE is common after cardiac arrest. The distinction between unequivocal and possible ESE patterns was not reflected by differences in clinical features or survival. Significance: A favourable outcome is seen infrequently in patients with ESE, regardless of using strict or liberal ESE definitions.
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| 8. |
- Backman, Sofia, et al.
(författare)
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Reduced EEG montage has a high accuracy in the post cardiac arrest setting
- 2020
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Ingår i: Clinical Neurophysiology. - : Elsevier BV. - 1388-2457. ; 131:9, s. 2216-2223
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Tidskriftsartikel (refereegranskat)abstract
- Objective: To study if comatose cardiac arrest patients can be assessed with a reduced number of EEG electrodes. Methods: 110 routine EEGs from 67 consecutive patients, including both hypothermic and normothermic EEGs were retrospectively assessed by three blinded EEG-experts using two different electrode montages. A standard 19-electrode-montage was compared to the reduced version of the same EEGs, down-sampled to six electrodes (F3, T3, P3, F4, T4, P4). We used intra-rater and inter-observer statistics to assess the reliability of the reduced montage for background features and discharges. Results: The reduced montage had almost perfect performance for background continuity (κ 0.80–0.88), including identification of highly malignant backgrounds (burst-suppression/suppression) (κ 0.85–0.94) and benign backgrounds (continuous/nearly continuous) (κ 0.85–0.91). We found substantial performance for identifying rhythmic/periodic discharges (κ 0.79–0.86). The reduced montage had high accuracy for assessment of both highly malignant (sensitivity 91–95%, specificity 94–99%) and benign (sensitivity 89–98%, specificity 91–96%) backgrounds, and periodic/rhythmic patterns (sensitivity 79–100%, specificity 89–99%), compared to the full montage. The inter-observer variability was not increased by the reduced montage. Conclusion: Reduced EEG had high performance for classifying important background and discharge patterns in this post cardiac arrest cohort. Significance: Our results support the use of reduced EEG-montage for monitoring comatose cardiac arrest patients.
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