| 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. |
- 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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| 3. |
- 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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