| 1. |
- Holgersson, Johan, et al.
(author)
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Hypothermic versus Normothermic Temperature Control after Cardiac Arrest
- 2022
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In: NEJM Evidence. - 2766-5526. ; 1:11, s. 1-13
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Journal article (peer-reviewed)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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| 2. |
- Jakobsen, Janus Christian, et al.
(author)
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Targeted hypothermia versus targeted normothermia after out-of-hospital cardiac arrest: a statistical analysis plan.
- 2020
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In: Trials. - : Springer Science and Business Media LLC. - 1745-6215. ; 21:1
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Journal article (peer-reviewed)abstract
- To date, targeted temperature management (TTM) is the only neuroprotective intervention after resuscitation from cardiac arrest that is recommended by guidelines. The evidence on the effects of TTM is unclear.The Targeted Hypothermia Versus Targeted Normothermia After Out-of-hospital Cardiac Arrest (TTM2) trial is an international, multicentre, parallel group, investigator-initiated, randomised, superiority trial in which TTM with a target temperature of 33°C after cardiac arrest will be compared with a strategy to maintain normothermia and active treatment of fever (≥37.8°C). Prognosticators, outcome assessors, the steering group, the trial coordinating team, and trial statisticians will be blinded to treatment allocation. The primary outcome will be all-cause mortality at 180days after randomisation. We estimate a 55% mortality in the targeted normothermia group. To detect an absolute risk reduction of 7.5% with an alpha of 0.05 and 90% power, 1900 participants will be enrolled. The secondary neurological outcome will be poor functional outcome (modified Rankin scale 4-6) at 180days after cardiac arrest. In this paper, a detailed statistical analysis plan is presented, including a comprehensive description of the statistical analyses, handling of missing data, and assessments of underlying statistical assumptions. Final analyses will be conducted independently by two qualified statisticians following the present plan.This SAP, which was prepared before completion of enrolment, should increase the validity of the TTM trial by mitigation of analysis-bias.
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| 3. |
- Lagebrant, Alice, et al.
(author)
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Brain injury markers in blood associate with generalised oedema on computed tomography after cardiac arrest
- 2021
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In: - : Springer Science and Business Media LLC. ; , s. 203-204
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Conference paper (peer-reviewed)abstract
- Introduction. According to the 2021 ERC/ESICM guideline recommen-dations, elevated neuron-specific enolase [NSE] levels as well as diffuseand extensive anoxic damage on neuroimaging are predictors of poorneurological outcome after cardiac arrest.(1) We previously describedthat NSE is elevated in patients with generalised oedema on com-puted tomography [CT]. (2).Objectives. In this study, we aim to examine the novel brain injurymarkers serum neurofilament light [NFL], glial fibrillary acidic protein[GFAP] and total-tau [tau] to predict the presence of generalised brainoedema.Methods. Retrospective analysis of patients examined with CT onclinical indication within the Target Temperature Management afterout-of-hospital cardiac arrest [TTM] trial. (2,3) Serum samples fromthe biobank sub study were prospectively collected at 48 h post arrestand analysed after trial completion as published. (4–7) The neuronalmarker NSE, the neuroaxonal injury markers NFL and tau and theastrocytic injury marker GFAP were correlated with the presence ofgeneralised oedema on CT, assessed by local radiologists through vis-ual evaluation. The prognostic accuracy of NSE ≥ 60 ug/l for predictinggeneralised oedema was also analysed.Results. 192 patients had data available on all four biomarkers at 48 hand were examined with CT < 168 h post arrest. Brain injury markerswere significantly higher in patients with generalised oedema as com-pared to patients without oedema on CT scans performed 24–168 hafter ROSC (p < 0.001) (Fig. 1A–D). For CT scans performed < 24 h, onlyNSE levels showed a significant correlation (p < 0.05). Biomarkers pre -dicted generalised oedema with area under the receiver operatingcharacteristics curve [AUC] 67.5–73.2% for CT scans performed < 24 h(n = 111), with no statistically significant difference between themarkers ( Fig. 2A). For scans performed 24–168 h (n = 81) AUC for pre -dicting generalised oedema was 78.1%-82.9%, with no statisticallysignificant difference between the markers. NSE ≥ 60 ug/l at 48 h, asrecommended by guidelines, predicted generalised oedema with 81%(95%CI 67–90%) sensitivity and 77% (95%CI 62–87%) specificity.Conclusion. Concentrations of all evaluated brain injury markerswere significantly higher in patients with generalised oedema on CTperformed after the first 24 h post arrest. Biomarker concentrationsindicate whether generalised oedema on CT is likely and may thus beclinically useful for deciding if a CT scan is sufficient for prognostica-tion or if a MRI is more appropriate.
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| 4. |
- Lagebrant, Alice, et al.
(author)
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Brain injury markers in blood predict signs of hypoxic ischaemic encephalopathy on head computed tomography after cardiac arrest
- 2023
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In: Resuscitation. - : Elsevier. - 0300-9572 .- 1873-1570. ; 184
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Journal article (peer-reviewed)abstract
- Background/Aim: Signs of hypoxic ischaemic encephalopathy (HIE) on head computed tomography (CT) predicts poor neurological outcome after cardiac arrest. We explore whether levels of brain injury markers in blood could predict the likelihood of HIE on CT.Methods: Retrospective analysis of CT performed at 24-168 h post cardiac arrest on clinical indication within the Target Temperature Management after out-of-hospital cardiac arrest-trial. Biomarkers prospectively collected at 24-and 48 h post-arrest were analysed for neuron specific enolase (NSE), neurofilament light (NFL), total-tau and glial fibrillary acidic protein (GFAP). HIE was assessed through visual evaluation and quantitative grey-white-matter ratio (GWR) was retrospectively calculated on Swedish subjects with original images available.Results: In total, 95 patients were included. The performance to predict HIE on CT (performed at IQR 73-116 h) at 48 h was similar for all biomark-ers, assessed as area under the receiving operating characteristic curve (AUC) NSE 0.82 (0.71-0.94), NFL 0.79 (0.67-0.91), total-tau 0.84 (0.74- 0.95), GFAP 0.79 (0.67-0.90). The predictive performance of biomarker levels at 24 h was AUC 0.72-0.81. At 48 h biomarker levels below Youden Index accurately excluded HIE in 77.3-91.7% (negative predictive value) and levels above Youden Index correctly predicted HIE in 73.3-83.7% (positive predictive value). NSE cut-off at 48 h was 48 ng/ml. Elevated biomarker levels irrespective of timepoint significantly correlated with lower GWR.Conclusion: Biomarker levels can assess the likelihood of a patient presenting with HIE on CT and could be used to select suitable patients for CT-examination during neurological prognostication in unconscious cardiac arrest patients.
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| 5. |
- Lang, Margareta, et al.
(author)
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Standardised and automated assessment of head computed tomography reliably predicts poor functional outcome after cardiac arrest: a prospective multicentre study
- 2024
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In: Intensive Care Medicine. - : SPRINGER. - 0342-4642 .- 1432-1238.
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Journal article (peer-reviewed)abstract
- Purpose: Application of standardised and automated assessments of head computed tomography (CT) for neuroprognostication after out-of-hospital cardiac arrest. Methods: Prospective, international, multicentre, observational study within the Targeted Hypothermia versus Targeted Normothermia after out-of-hospital cardiac arrest (TTM2) trial. Routine CTs from adult unconscious patients obtained > 48 h <= 7 days post-arrest were assessed qualitatively and quantitatively by seven international raters blinded to clinical information using a pre-published protocol. Grey-white-matter ratio (GWR) was calculated from four (GWR-4) and eight (GWR-8) regions of interest manually placed at the basal ganglia level. Additionally, GWR was obtained using an automated atlas-based approach. Prognostic accuracies for prediction of poor functional outcome (modified Rankin Scale 4-6) for the qualitative assessment and for the pre-defined GWR cutoff < 1.10 were calculated. Results: 140 unconscious patients were included; median age was 68 years (interquartile range [IQR] 59-76), 76% were male, and 75% had poor outcome. Standardised qualitative assessment and all GWR models predicted poor outcome with 100% specificity (95% confidence interval [CI] 90-100). Sensitivity in median was 37% for the standardised qualitative assessment, 39% for GWR-8, 30% for GWR-4 and 41% for automated GWR. GWR-8 was superior to GWR-4 regarding prognostic accuracies, intra- and interrater agreement. Overall prognostic accuracy for automated GWR (area under the curve [AUC] 0.84, 95% CI 0.77-0.91) did not significantly differ from manually obtained GWR. Conclusion: Standardised qualitative and quantitative assessments of CT are reliable and feasible methods to predict poor functional outcome after cardiac arrest. Automated GWR has the potential to make CT quantification for neuroprognostication accessible to all centres treating cardiac arrest patients.
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| 6. |
- Lang, Margareta, et al.
(author)
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Standardised and automated assessment of head computed tomography reliably predicts poor functional outcome after cardiac arrest : a prospective multicentre study
- 2024
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In: Intensive Care Medicine. - : SPRINGER. - 0342-4642 .- 1432-1238. ; 50:7, s. 1096-1107
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Journal article (peer-reviewed)abstract
- Purpose: Application of standardised and automated assessments of head computed tomography (CT) for neuroprognostication after out-of-hospital cardiac arrest. Methods: Prospective, international, multicentre, observational study within the Targeted Hypothermia versus Targeted Normothermia after out-of-hospital cardiac arrest (TTM2) trial. Routine CTs from adult unconscious patients obtained > 48 h ≤ 7 days post-arrest were assessed qualitatively and quantitatively by seven international raters blinded to clinical information using a pre-published protocol. Grey–white-matter ratio (GWR) was calculated from four (GWR-4) and eight (GWR-8) regions of interest manually placed at the basal ganglia level. Additionally, GWR was obtained using an automated atlas-based approach. Prognostic accuracies for prediction of poor functional outcome (modified Rankin Scale 4–6) for the qualitative assessment and for the pre-defined GWR cutoff < 1.10 were calculated. Results: 140 unconscious patients were included; median age was 68 years (interquartile range [IQR] 59–76), 76% were male, and 75% had poor outcome. Standardised qualitative assessment and all GWR models predicted poor outcome with 100% specificity (95% confidence interval [CI] 90–100). Sensitivity in median was 37% for the standardised qualitative assessment, 39% for GWR-8, 30% for GWR-4 and 41% for automated GWR. GWR-8 was superior to GWR-4 regarding prognostic accuracies, intra- and interrater agreement. Overall prognostic accuracy for automated GWR (area under the curve [AUC] 0.84, 95% CI 0.77–0.91) did not significantly differ from manually obtained GWR. Conclusion: Standardised qualitative and quantitative assessments of CT are reliable and feasible methods to predict poor functional outcome after cardiac arrest. Automated GWR has the potential to make CT quantification for neuroprognostication accessible to all centres treating cardiac arrest patients.
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| 7. |
- Lilja, Gisela, et al.
(author)
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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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In: Circulation. - 1524-4539. ; 131:15, s. 77-1340
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Journal article (peer-reviewed)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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| 8. |
- Lilja, Gisela, et al.
(author)
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Cognitive Function in Survivors of Out-of-Hospital Cardiac Arrest After Target Temperature Management at 33 degrees C Versus 36 degrees C
- 2015
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In: Circulation. - 0009-7322. ; 131:15, s. 1340-1349
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Journal article (peer-reviewed)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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| 9. |
- Lilja, Gisela, et al.
(author)
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Protocol for outcome reporting and follow-up in the Targeted Hypothermia versus Targeted Normothermia after Out-of-Hospital Cardiac Arrest trial (TTM2)
- 2020
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In: Resuscitation. - : Elsevier BV. - 0300-9572 .- 1873-1570. ; 150, s. 104-112
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Journal article (peer-reviewed)abstract
- Aims: The TTM2-trial is a multi-centre randomised clinical trial where targeted temperature management (TTM) at 33 °C will be compared with normothermia and early treatment of fever (≥37.8 °C) after Out-of-Hospital Cardiac Arrest (OHCA). This paper presents the design and rationale of the TTM2-trial follow-up, where information on secondary and exploratory outcomes will be collected. We also present the explorative outcome analyses which will focus on neurocognitive function and societal participation in OHCA-survivors. Methods: Blinded outcome-assessors will perform follow-up at 30-days after the OHCA with a telephone interview, including the modified Rankin Scale (mRS) and the Glasgow Outcome Scale Extended (GOSE). Face-to-face meetings will be performed at 6 and 24-months, and include reports on outcome from several sources of information: clinician-reported: mRS, GOSE; patient-reported: EuroQol-5 Dimensions-5 Level responses version (EQ-5D-5L), Life satisfaction, Two Simple Questions; observer-reported: Informant Questionnaire on Cognitive Decline in the Elderly-Cardiac Arrest version (IQCODE-CA) and neurocognitive performance measures: Montreal Cognitive Assessment, (MoCA), Symbol Digit Modalities Test (SDMT). Exploratory analyses will be performed with an emphasis on brain injury in the survivors, where the two intervention groups will be compared for potential differences in neuro-cognitive function (MoCA, SDMT) and societal participation (GOSE). Strategies to increase inter-rater reliability and decrease missing data are described. Discussion: The TTM2-trial follow-up is a pragmatic yet detailed pre-planned and standardised assessment of patient's outcome designed to ensure data-quality, decrease missing data and provide optimal conditions to investigate clinically relevant effects of TTM, including OHCA-survivors’ neurocognitive function and societal participation.
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| 10. |
- Mattsson, Niklas, et al.
(author)
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Serum tau and neurological outcome in cardiac arrest.
- 2017
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In: Annals of neurology. - : Wiley. - 1531-8249 .- 0364-5134. ; 82:5, s. 665-675
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Journal article (peer-reviewed)abstract
- To test serum tau as a predictor of neurological outcome after cardiac arrest.We measured the neuronal protein tau in serum at 24, 48, and 72 hours after cardiac arrest in 689 patients in the prospective international Target Temperature Management trial. The main outcome was poor neurological outcome, defined as Cerebral Performance Categories 3-5 at 6 months.Increased tau was associated with poor outcome at 6 months after cardiac arrest (median=38.5, interquartile range [IQR]=5.7-245ng/l in poor vs median=1.5, IQR=0.7-2.4ng/l in good outcome, for tau at 72 hours, p<0.0001). Tau improved prediction of poor outcome compared to using clinical information (p<0.0001). Tau cutoffs had low false-positive rates (FPRs) for good outcome while retaining high sensitivity for poor outcome. For example, tau at 72 hours had FPR=2% (95% CI=1-4%) with sensitivity=66% (95% CI=61-70%). Tau had higher accuracy than serum neuron-specific enolase (NSE; the area under the receiver operating characteristic curve was 0.91 for tau vs 0.86 for NSE at 72 hours, p=0.00024). During follow-up (up to 956 days), tau was significantly associated with overall survival. The accuracy in predicting outcome by serum tau was equally high for patients randomized to 33°C and 36°C targeted temperature after cardiac arrest.Serum tau is a promising novel biomarker for prediction of neurological outcome in patients with cardiac arrest. It may be significantly better than serum NSE, which is recommended in guidelines and currently used in clinical practice in several countries to predict outcome after cardiac arrest. Ann Neurol 2017;82:665-675.
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