| 1. |
- Bohm, Mattias, et al.
(författare)
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Caregiver burden and health-related quality of life amongst caregivers of out-of-hospital cardiac arrest survivors
- 2021
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Ingår i: Resuscitation. - : Elsevier. - 0300-9572 .- 1873-1570. ; 167:October, s. 118-127
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Tidskriftsartikel (refereegranskat)abstract
- Aims:To describe burden and health-related quality of life amongst caregivers of out-of-hospital cardiac arrest survivors and explore the potential association with cognitive function of the survivors. Caregivers of patients with ST-elevation myocardial infarction were used as controls.Methods:Data were collected from the cognitive substudy of the Targeted Temperature Management-trial. Caregiver burden was assessed with the 22-item Zarit Burden Interview, with scores <20 considered as no burden. Health-related quality of life was assessed with the SF-36v2 (R), with T scores 47-53 representing the norm. Cardiac arrest survivors were categorized based on the results from cognitive assessments as having "no cognitive impairment" or "cognitive impairment".Results:Follow-up 6 months post event was performed for caregivers of 272 cardiac arrest survivors and 108 matched myocardial infarction controls, included at an intended ratio of 2:1. In general, caregivers of cardiac arrest survivors and controls reported similar caregiver burden. The overall scores for quality of life were within normative levels and similar for caregivers of cardiac arrest survivors and control patients. Compared to those with no cognitive impairment, caregivers of cognitively impaired cardiac arrest survivors (n = 126) reported higher levels of burden (median 18 versus 8, p < 0.001) and worse quality of life in five of eight domains, particularly "Role-Emotional" (mean 45.7 versus 49.5, p = 0.002).Conclusions: In general, caregivers of cardiac arrest survivors and myocardial infarction controls reported similar levels of burden and quality of life. Cognitive outcome and functional dependency of the cardiac arrest survivor impact burden and quality of life of the caregiver.
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| 2. |
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| 3. |
- Cronberg, Tobias, et al.
(författare)
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Neurologic Function and Health-Related Quality of Life in Patients Following Targeted Temperature Management at 33 degrees C vs 36 degrees C After Out-of-Hospital Cardiac Arrest A Randomized Clinical Trial
- 2015
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Ingår i: JAMA Neurology. - : American Medical Association. - 2168-6149 .- 2168-6157. ; 72:6, s. 634-641
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Tidskriftsartikel (refereegranskat)abstract
- IMPORTANCE Brain injury affects neurologic function and quality of life in survivors after cardiac arrest. OBJECTIVE To compare the effects of 2 target temperature regimens on long-term cognitive function and quality of life after cardiac arrest. DESIGN, SETTING, AND PARTICIPANTS In this multicenter, international, parallel group, assessor-masked randomized clinical trial performed from November 11, 2010, through January 10, 2013, we enrolled 950 unconscious adults with cardiac arrest of presumed cardiac cause from 36 intensive care units in Europe and Australia. Eleven patients were excluded from analysis for a total sample size of 939. INTERVENTIONS Targeted temperature management at 33 degrees C vs 36 degrees C. MAIN OUTCOMES AND MEASURES Cognitive function was measured by the Mini-Mental State Examination (MMSE) and assessed by observers through the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE). Patients reported their activities in daily life and mental recovery through Two Simple Questions and their quality of life through the Medical Outcomes Study 36-Item Short Form Health Survey, version 2. RESULTS In the modified intent-to-treat population, including nonsurvivors, the median MMSE score was 14 in the 33 degrees C group (interquartile range [IQR], 0-28) vs 17 in the 36 degrees C group (IQR, 0-29) (P = .77), and the IQCODE score was 115 (IQR, 79-130) vs 115 (IQR, 80-130) (P = .57) in the 33 degrees C and 36 degrees C groups, respectively. The median MMSE score for survivors was within the reference range and similar (33 degrees C group median, 28; IQR, 26-30; vs 36 degrees C group median, 28; IQR, 25-30; P = .61). The median IQCODE score was within the minor deficit range (33 degrees C group median, 79.5; IQR, 78.0-85.9; vs 36 degrees C group median, 80.7; IQR, 78.0-86.9; P = .04). A total of 18.8% vs 17.5% of survivors reported needing help with everyday activities (P = .71), and 66.5% in the 33 degrees C group vs 61.8% in the 36 degrees C group reported that they thought they had made a complete mental recovery (P = .32). The mean (SD) mental component summary score was 49.1 (12.5) vs 49.0 (12.2) (P = .79), and the mean (SD) physical component summary score was 46.8 (13.8) and 47.5 (13.8) (P = .45), comparable to the population norm. CONCLUSIONS AND RELEVANCE Quality of life was good and similar in patients with cardiac arrest receiving targeted temperature management at 33 degrees C or 36 degrees C. Cognitive function was similar in both intervention groups, but many patients and observers reported impairment not detected previously by standard outcome scales.
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| 4. |
- Ebner, Florian, et al.
(författare)
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Serum GFAP and UCH-L1 for the prediction of neurological outcome in comatose cardiac arrest patients
- 2020
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Ingår i: Resuscitation. - : Elsevier BV. - 0300-9572. ; 154, s. 61-68
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Tidskriftsartikel (refereegranskat)abstract
- Objective: Neurological outcome prediction is crucial early after cardiac arrest. Serum biomarkers released from brain cells after hypoxic-ischaemic injury may aid in outcome prediction. The only serum biomarker presently recommended in the European Resuscitation Council prognostication guidelines is neuron-specific enolase (NSE), but NSE has limitations. In this study, we therefore analyzed the outcome predictive accuracy of the serum biomarkers glial fibrillary acidic protein (GFAP) and ubiquitin C-terminal hydrolase-L1 (UCH-L1) in patients after cardiac arrest. Methods: Serum GFAP and UCH-L1 were collected at 24, 48 and 72 h after cardiac arrest. The primary outcome was neurological function at 6-month follow-up assessed by the cerebral performance category scale (CPC), dichotomized into good (CPC1-2) and poor (CPC3-5). Prognostic accuracies were tested with receiver-operating characteristics by calculating the area under the receiver-operating curve (AUROC) and compared to the AUROC of NSE. Results: 717 patients were included in the study. GFAP and UCH-L1 discriminated between good and poor neurological outcome at all time-points when used alone (AUROC GFAP 0.88–0.89; UCH-L1 0.85–0.87) or in combination (AUROC 0.90–0.91). The combined model was superior to GFAP and UCH-L1 separately and NSE (AUROC 0.75–0.85) at all time-points. At specificities ≥95%, the combined model predicted poor outcome with a higher sensitivity than NSE at 24 h and with similar sensitivities at 48 and 72 h. Conclusion: GFAP and UCH-L1 predicted poor neurological outcome with high accuracy. Their combination may be of special interest for early prognostication after cardiac arrest where it performed significantly better than the currently recommended biomarker NSE.
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| 5. |
- Grand, Johannes, et al.
(författare)
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Arterial blood pressure during targeted temperature management after out-of-hospital cardiac arrest and association with brain injury and long-term cognitive function
- 2020
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Ingår i: European Heart Journal: Acute Cardiovascular Care. - : Oxford University Press (OUP). - 2048-8726 .- 2048-8734. ; 9:4_suppl, s. 122-130
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Tidskriftsartikel (refereegranskat)abstract
- Objectives: During targeted temperature management after out-of-hospital cardiac arrest infusion of vasoactive drugs is often needed to ensure cerebral perfusion pressure. This study investigated mean arterial pressure after out-of-hospital cardiac arrest and the association with brain injury and long-term cognitive function. Methods: Post-hoc analysis of patients surviving at least 48 hours in the biobank substudy of the targeted temperature management trial with available blood pressure data. Patients were stratified in three groups according to mean arterial pressure during targeted temperature management (4–28 hours after admission; <70 mmHg, 70–80 mmHg, >80 mmHg). A biomarker of brain injury, neuron-specific enolase, was measured and impaired cognitive function was defined as a mini-mental state examination score below 27 in 6-month survivors. Results: Of the 657 patients included in the present analysis, 154 (23%) had mean arterial pressure less than 70 mmHg, 288 (44%) had mean arterial pressure between 70 and 80 mmHg and 215 (33%) had mean arterial pressure greater than 80 mmHg. There were no statistically significant differences in survival (P=0.35) or neuron-specific enolase levels (P=0.12) between the groups. The level of target temperature did not statistically significantly interact with mean arterial pressure regarding neuron-specific enolase (Pinteraction_MAP*TTM=0.58). In the subgroup of survivors with impaired cognitive function (n=132) (35%) mean arterial pressure during targeted temperature management was significantly higher (Pgroup=0.03). Conclusions: In a large cohort of comatose out-of-hospital cardiac arrest patients, low mean arterial pressure during targeted temperature management was not associated with higher neuron-specific enolase regardless of the level of target temperature (33°C or 36°C for 24 hours). In survivors with impaired cognitive function, mean arterial pressure during targeted temperature management was significantly higher.
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| 6. |
- Haxhija, Zana, et al.
(författare)
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External validation of the CREST model to predict early circulatory-etiology death after out-of-hospital cardiac arrest without initial ST-segment elevation myocardial infarction
- 2023
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Ingår i: BMC Cardiovascular Disorders. - 1471-2261. ; 23:1
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Tidskriftsartikel (refereegranskat)abstract
- Background: The CREST model is a prediction model, quantitating the risk of circulatory-etiology death (CED) after cardiac arrest based on variables available at hospital admission, and intend to guide the triage of comatose patients without ST-segment-elevation myocardial infarction after successful cardiopulmonary resuscitation. This study assessed performance of the CREST model in the Target Temperature Management (TTM) trial cohort. Methods: We retrospectively analyzed data from resuscitated out-of-hospital cardiac arrest (OHCA) patients in the TTM-trial. Demographics, clinical characteristics, and CREST variables (history of coronary artery disease, initial heart rhythm, initial ejection fraction, shock at admission and ischemic time > 25 min) were assessed in univariate and multivariable analysis. The primary outcome was CED. The discriminatory power of the logistic regression model was assessed using the C-statistic and goodness of fit was tested according to Hosmer-Lemeshow. Results: Among 329 patients eligible for final analysis, 71 (22%) had CED. History of ischemic heart disease, previous arrhythmia, older age, initial non-shockable rhythm, shock at admission, ischemic time > 25 min and severe left ventricular dysfunction were variables associated with CED in univariate analysis. CREST variables were entered into a logistic regression model and the area under the curve for the model was 0.73 with adequate calibration according to Hosmer-Lemeshow test (p = 0.602). Conclusions: The CREST model had good validity and a discrimination capability for predicting circulatory-etiology death after resuscitation from cardiac arrest without ST-segment elevation myocardial infarction. Application of this model could help to triage high-risk patients for transfer to specialized cardiac centers.
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| 7. |
- Holgersson, Johan, et al.
(författare)
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Hypothermic versus Normothermic Temperature Control after Cardiac Arrest
- 2022
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Ingår i: NEJM Evidence. - 2766-5526. ; 1:11, s. 1-13
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUNDThe evidence for temperature control for comatose survivors of cardiac arrest is inconclusive. Controversy exists as to whether the effects of hypothermia differ per the circumstances of the cardiac arrest or patient characteristics.METHODSAn individual patient data meta-analysis of the Targeted Temperature Management at 33°C versus 36°C after Cardiac Arrest (TTM) and Hypothermia versus Normothermia after Out-of-Hospital Cardiac Arrest (TTM2) trials was conducted. The intervention was hypothermia at 33°C and the comparator was normothermia. The primary outcome was all-cause mortality at 6 months. Secondary outcomes included poor functional outcome (modified Rankin scale score of 4 to 6) at 6 months. Predefined subgroups based on the design variables in the original trials were tested for interaction with the intervention as follows: age (older or younger than the median), sex (female or male), initial cardiac rhythm (shockable or nonshockable), time to return of spontaneous circulation (above or below the median), and circulatory shock on admission (presence or absence).RESULTSThe primary analyses included 2800 patients, with 1403 assigned to hypothermia and 1397 to normothermia. Death occurred for 691 of 1398 participants (49.4%) in the hypothermia group and 666 of 1391 participants (47.9%) in the normothermia group (relative risk with hypothermia, 1.03; 95% confidence interval [CI], 0.96 to 1.11; P=0.41). A poor functional outcome occurred for 733 of 1350 participants (54.3%) in the hypothermia group and 718 of 1330 participants (54.0%) in the normothermia group (relative risk with hypothermia, 1.01; 95% CI, 0.94 to 1.08; P=0.88). Outcomes were consistent in the predefined subgroups.CONCLUSIONSHypothermia at 33°C did not decrease 6-month mortality compared with normothermia after out-of-hospital cardiac arrest. (Funded by Vetenskapsrådet; ClinicalTrials.gov numbers NCT02908308 and NCT01020916.)
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| 8. |
- Johnsson, Jesper, et al.
(författare)
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Artificial neural networks improve early outcome prediction and risk classification in out-of-hospital cardiac arrest patients admitted to intensive care
- 2020
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Ingår i: Critical Care. - : Springer Science and Business Media LLC. - 1364-8535. ; 24:1
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Pre-hospital circumstances, cardiac arrest characteristics, comorbidities and clinical status on admission are strongly associated with outcome after out-of-hospital cardiac arrest (OHCA). Early prediction of outcome may inform prognosis, tailor therapy and help in interpreting the intervention effect in heterogenous clinical trials. This study aimed to create a model for early prediction of outcome by artificial neural networks (ANN) and use this model to investigate intervention effects on classes of illness severity in cardiac arrest patients treated with targeted temperature management (TTM). METHODS: Using the cohort of the TTM trial, we performed a post hoc analysis of 932 unconscious patients from 36 centres with OHCA of a presumed cardiac cause. The patient outcome was the functional outcome, including survival at 180 days follow-up using a dichotomised Cerebral Performance Category (CPC) scale with good functional outcome defined as CPC 1-2 and poor functional outcome defined as CPC 3-5. Outcome prediction and severity class assignment were performed using a supervised machine learning model based on ANN. RESULTS: The outcome was predicted with an area under the receiver operating characteristic curve (AUC) of 0.891 using 54 clinical variables available on admission to hospital, categorised as background, pre-hospital and admission data. Corresponding models using background, pre-hospital or admission variables separately had inferior prediction performance. When comparing the ANN model with a logistic regression-based model on the same cohort, the ANN model performed significantly better (p = 0.029). A simplified ANN model showed promising performance with an AUC above 0.852 when using three variables only: age, time to ROSC and first monitored rhythm. The ANN-stratified analyses showed similar intervention effect of TTM to 33 °C or 36 °C in predefined classes with different risk of a poor outcome. CONCLUSION: A supervised machine learning model using ANN predicted neurological recovery, including survival excellently, and outperformed a conventional model based on logistic regression. Among the data available at the time of hospitalisation, factors related to the pre-hospital setting carried most information. ANN may be used to stratify a heterogenous trial population in risk classes and help determine intervention effects across subgroups.
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| 9. |
- Lileikyte, Gabriele, et al.
(författare)
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Serum proteome profiles in patients treated with targeted temperature management after out-of-hospital cardiac arrest
- 2023
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Ingår i: Intensive Care Medicine Experimental. - 2197-425X. ; 11:1
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Definition of temporal serum proteome profiles after out-of-hospital cardiac arrest may identify biological processes associated with severe hypoxia-ischaemia and reperfusion. It may further explore intervention effects for new mechanistic insights, identify candidate prognostic protein biomarkers and potential therapeutic targets. This pilot study aimed to investigate serum proteome profiles from unconscious patients admitted to hospital after out-of-hospital cardiac arrest according to temperature treatment and neurological outcome.METHODS: Serum samples at 24, 48, and 72 h after cardiac arrest at three centres included in the Target Temperature Management after out-of-hospital cardiac arrest trial underwent data-independent acquisition mass spectrometry analysis (DIA-MS) to find changes in serum protein concentrations associated with neurological outcome at 6-month follow-up and targeted temperature management (TTM) at 33 °C as compared to 36 °C. Neurological outcome was defined according to Cerebral Performance Category (CPC) scale as "good" (CPC 1-2, good cerebral performance or moderate disability) or "poor" (CPC 3-5, severe disability, unresponsive wakefulness syndrome, or death).RESULTS: Of 78 included patients [mean age 66 ± 12 years, 62 (80.0%) male], 37 (47.4%) were randomised to TTM at 36 °C. Six-month outcome was poor in 47 (60.3%) patients. The DIA-MS analysis identified and quantified 403 unique human proteins. Differential protein abundance testing comparing poor to good outcome showed 19 elevated proteins in patients with poor outcome (log 2-fold change (FC) range 0.28-1.17) and 16 reduced proteins (log 2(FC) between - 0.22 and - 0.68), involved in inflammatory/immune responses and apoptotic signalling pathways for poor outcome and proteolysis for good outcome. Analysis according to level of TTM showed a significant protein abundance difference for six proteins [five elevated proteins in TTM 36 °C (log 2(FC) between 0.33 and 0.88), one reduced protein (log 2(FC) - 0.6)] mainly involved in inflammatory/immune responses only at 48 h after cardiac arrest. CONCLUSIONS: Serum proteome profiling revealed an increase in inflammatory/immune responses and apoptosis in patients with poor outcome. In patients with good outcome, an increase in proteolysis was observed, whereas TTM-level only had a modest effect on the proteome profiles. Further validation of the differentially abundant proteins in response to neurological outcome is necessary to validate novel biomarker candidates that may predict prognosis after cardiac arrest.
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| 10. |
- Lilja, Gisela, et al.
(författare)
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Cognitive Function in Survivors of Out-of-Hospital Cardiac Arrest After Target Temperature Management at 33ºC Versus 36ºC.
- 2015
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Ingår i: Circulation. - 1524-4539. ; 131:15, s. 77-1340
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Tidskriftsartikel (refereegranskat)abstract
- -Target temperature management is recommended as a neuro-protective strategy after out-of-hospital cardiac arrest. Potential effects of different target temperatures on cognitive impairment commonly described in survivors are not sufficiently investigated. The primary aim of this study was to evaluate whether a target temperature of 33ºC compared to 36ºC was favourable for cognitive function, and secondary to describe cognitive impairment in cardiac arrest survivors in general.
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