| 1. |
- Dankiewicz, Josef, et al.
(författare)
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Infectious complications after out-of-hospital cardiac arrest—A comparison between two target temperatures
- 2017
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Ingår i: Resuscitation. - : Elsevier BV. - 0300-9572. ; 113, s. 70-76
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Tidskriftsartikel (refereegranskat)abstract
- Background It has been suggested that target temperature management (TTM) increases the probability of infectious complications after cardiac arrest. We aimed to compare the incidence of pneumonia, severe sepsis and septic shock after out-of-hospital cardiac arrest (OHCA) in patients with two target temperatures and to describe changes in biomarkers and possible mortality associated with these infectious complications. Methods Post-hoc analysis of the TTM-trial which randomized patients resuscitated from OHCA to a target temperature of 33 °C or 36 °C. Prospective data on infectious complications were recorded daily during the ICU-stay. Pneumonia, severe sepsis and septic shock were considered infectious complications. Procalcitonin (PCT) and C-reactive-protein (CRP) levels were measured at 24 h, 48 h and 72 h after cardiac arrest. Results There were 939 patients in the modified intention-to-treat population. Five-hundred patients (53%) developed pneumonia, severe sepsis or septic shock which was associated with mortality in multivariate analysis (Hazard ratio [HR] 1.39; 95%CI 1.13–1.70; p = 0.001). There was no statistically significant difference in the incidence of infectious complications between temperature groups (sub-distribution hazard ratio [SHR] 0.88; 95%CI 0.75–1.03; p = 0.12). PCT and CRP were significantly higher for patients with infections at all times (p < 0.001), but there was considerable overlap. Conclusions Patients who develop pneumonia, severe sepsis or septic shock after OHCA might have an increased mortality. A target temperature of 33 °C after OHCA was not associated with an increased risk of infectious complications compared to a target temperature of 36 °C. PCT and CRP are of limited value for diagnosing infectious complications after cardiac arrest.
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| 2. |
- Dragancea, Irina, et al.
(författare)
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Protocol-driven neurological prognostication and withdrawal of life-sustaining therapy after cardiac arrest and targeted temperature management
- 2017
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Ingår i: Resuscitation. - : Elsevier BV. - 0300-9572. ; 117, s. 50-57
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Tidskriftsartikel (refereegranskat)abstract
- Background Brain injury is reportedly the main cause of death for patients resuscitated after out-of-hospital cardiac arrest (OHCA). However, the majority may actually die following withdrawal of life-sustaining therapy (WLST) with a presumption of poor neurological recovery. We investigated how the protocol for neurological prognostication was used and how related treatment recommendations might have affected WLST decision-making and outcome after OHCA in the targeted temperature management (TTM) trial. Methods Analyses of prospectively recorded data: details of neurological prognostication; recommended level-of-care; WLST decisions; presumed cause of death; and cerebral performance category (CPC) 6 months following randomization. Results Of 939 patients, 452 (48%) woke and 139 (15%) died, mostly for non-neurological reasons, before a scheduled time point for neurological prognostication (72 h after the end of TTM). Three hundred and thirteen (33%) unconscious patients underwent prognostication at a median 117 (IQR 93–137) hours after arrest. Thirty-three (3%) unconscious patients were not neurologically prognosticated and for 2 patients (1%) data were missing. Related care recommendations were: continue in 117 (37%); not escalate in 55 (18%); and withdraw in 141 (45%). WLST eventually occurred in 196 (63%) at median day 6 (IQR 5–8). At 6 months, only 2 patients with WLST were alive and 248 (79%) of prognosticated patients had died. There were significant differences in time to WLST and death after the different recommendations (log rank <0.001). Conclusion Delayed prognostication was relevant for a minority of patients and related to subsequent decisions on level-of-care with effects on ICU length-of-stay, survival time and outcome.
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| 3. |
- Mattsson, Niklas, et al.
(författare)
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Serum tau and neurological outcome in cardiac arrest.
- 2017
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Ingår i: Annals of neurology. - : Wiley. - 1531-8249 .- 0364-5134. ; 82:5, s. 665-675
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Tidskriftsartikel (refereegranskat)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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| 4. |
- Moseby-Knappe, Marion, et al.
(författare)
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Head computed tomography for prognostication of poor outcome in comatose patients after cardiac arrest and targeted temperature management
- 2017
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Ingår i: Resuscitation. - : Elsevier BV. - 1873-1570 .- 0300-9572. ; 119, s. 89-94
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Tidskriftsartikel (refereegranskat)abstract
- INTRODUCTION: A multimodal approach to prognostication of outcome after cardiac arrest (CA) is recommended. Evidence for combinations of methods is low. In this post-hoc analysis we described findings on head computed tomography (CT) after CA. We also examined whether generalised oedema on CT alone or together with the biomarker Neuron-specific enolase (NSE) could predict poor outcome.METHODS: Patients participating in the Target Temperature Management after out-of-hospital-cardiac-arrest-trial underwent CT based on clinical indications. Findings were divided into pre-specified categories according to local radiologists descriptions. Generalised oedema alone and in combination with peak NSE at either 48h or 72h was correlated with poor outcome at 6 months follow-up using the Cerebral Performance Category (CPC 3-5).RESULTS: 356/939 (37.9%) of patients underwent head CT. Initial CT≤24h after CA was normal in 174/218 (79.8%), whilst generalised oedema was diagnosed in 21/218 (9.6%). Between days 1-7, generalised oedema was seen in 65/143 (45.5%), acute/subacute infarction in 27/143 (18.9%) and bleeding in 9/143 (6.3%). Overall, generalised oedema predicted poor outcome with 33.6% sensitivity (95%CI:28.1-39.5) and 98.4% specificity (95%CI:94.3-99.6), whilst peak NSE demonstrated sensitivities of 61.5-64.8% and specificity 95.7% (95%CI:89.5-98.4). The combination of peak NSE>38ng/l and generalised oedema on CT predicted poor outcome with 46.0% sensitivity (95%CI:36.5-55.8) with no false positives. NSE was significantly higher in patients with generalised oedema.CONCLUSION: In this study, generalised oedema was more common >24h≤7d after CA. The combination of CT and NSE improved sensitivity and specificity compared to CT alone, with no false positives in this limited population.
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| 5. |
- Stammet, Pascal, et al.
(författare)
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Protein S100 as outcome predictor after out-of-hospital cardiac arrest and targeted temperature management at 33 °C and 36 °C
- 2017
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Ingår i: Critical Care. - : Springer Science and Business Media LLC. - 1364-8535. ; 21:1
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Tidskriftsartikel (refereegranskat)abstract
- Background: We aimed to investigate the diagnostic performance of S100 as an outcome predictor after out-of-hospital cardiac arrest (OHCA) and the potential influence of two target temperatures (33 °C and 36 °C) on serum levels of S100. Methods: This is a substudy of the Target Temperature Management after Out-of-Hospital Cardiac Arrest (TTM) trial. Serum levels of S100 were measured a posteriori in a core laboratory in samples collected at 24, 48, and 72 h after OHCA. Outcome at 6 months was assessed using the Cerebral Performance Categories Scale (CPC 1-2 = good outcome, CPC 3-5 = poor outcome). Results: We included 687 patients from 29 sites in Europe. Median S100 values were higher in patients with a poor outcome at 24, 48, and 72 h: 0.19 (IQR 0.10-0.49) versus 0.08 (IQR 0.06-0.11) μg/ml, 0.16 (IQR 0.10-0.44) versus 0.07 (IQR 0.06-0.11) μg/L, and 0.13 (IQR 0.08-0.26) versus 0.06 (IQR 0.05-0.09) μg/L (p < 0.001), respectively. The ability to predict outcome was best at 24 h with an AUC of 0.80 (95% CI 0.77-0.83). S100 values were higher at 24 and 72 h in the 33 °C group than in the 36 °C group (0.12 [0.07-0.22] versus 0.10 [0.07-0.21] μg/L and 0.09 [0.06-0.17] versus 0.08 [0.05-0.10], respectively) (p < 0.02). In multivariable analyses including baseline variables and the allocated target temperature, the addition of S100 improved the AUC from 0.80 to 0.84 (95% CI 0.81-0.87) (p < 0.001), but S100 was not an independent outcome predictor. Adding S100 to the same model including neuron-specific enolase (NSE) did not further improve the AUC. Conclusions: The allocated target temperature did not affect S100 to a clinically relevant degree. High S100 values are predictive of poor outcome but do not add value to present prognostication models with or without NSE. S100 measured at 24 h and afterward is of limited value in clinical outcome prediction after OHCA. Trial registration: ClinicalTrials.gov identifier: NCT01020916. Registered on 25 November 2009.
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| 6. |
- Wiberg, Sebastian, et al.
(författare)
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Single versus serial measurements of neuron-specific enolase and prediction of poor neurological outcome in persistently unconscious patients after out-of-hospital cardiac arrest - A TTM-trial substudy
- 2017
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Ingår i: PLoS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 12:1
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Tidskriftsartikel (refereegranskat)abstract
- Background: Prediction of neurological outcome is a crucial part of post cardiac arrest care and prediction in patients remaining unconscious and/or sedated after rewarming from targeted temperature management (TTM) remains difficult. Current guidelines suggest the use of serial measurements of the biomarker neuron-specific enolase (NSE) in combination with other predictors of outcome in patients admitted after out-of-hospital cardiac arrest (OHCA). This study sought to investigate the ability of NSE to predict poor outcome in patients remaining unconscious at day three after OHCA. In addition, this study sought to investigate if serial NSE measurements add incremental prognostic information compared to a single NSE measurement at 48 hours in this population. Methods: This study is a post-hoc sub-study of the TTM trial, randomizing OHCA patients to a course of TTM at either 33°C or 36°C. Patients were included from sites participating in the TTMPLOS trial biobank sub study. NSE was measured at 24, 48 and 72 hours after ROSC and followup was concluded after 180 days. The primary end point was poor neurological function or death defined by a cerebral performance category score (CPC-score) of 3 to 5. Results: A total of 685 (73%) patients participated in the study. At day three after OHCA 63 (9%) patients had died and 473 (69%) patients were not awake. In these patients, a single NSE measurement at 48 hours predicted poor outcome with an area under the receiver operating characteristics curve (AUC) of 0.83. A combination of all three NSE measurements yielded the highest discovered AUC (0.88, p = .0002). Easily applicable combinations of serial NSE measurements did not significantly improve prediction over a single measurement at 48 hours (AUC 0.58-0.84 versus 0.83). Conclusion: NSE is a strong predictor of poor outcome after OHCA in persistently unconscious patients undergoing TTM, and NSE is a promising surrogate marker of outcome in clinical trials. While combinations of serial NSE measurements may provide an increase in overall prognostic information, it is unclear whether actual clinical prognostication with low false-positive rates is improved by application of serial measurements in persistently unconscious patients. The findings of this study should be confirmed in another prospective cohort.
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