| 1. |
- Düring, J., et al.
(författare)
-
Lactate, lactate clearance and outcome after cardiac arrest : A post-hoc analysis of the TTM-Trial
- 2018
-
Ingår i: Acta Anaesthesiologica Scandinavica. - : Wiley. - 0001-5172 .- 1399-6576. ; 62:10, s. 1436-1442
-
Tidskriftsartikel (refereegranskat)abstract
- Background: Admission lactate and lactate clearance are implemented for risk stratification in sepsis and trauma. In out-of-hospital cardiac arrest, results regarding outcome and lactate are conflicting. Methods: This is a post-hoc analysis of the Target Temperature Management trial in which 950 unconscious patents after out-of-hospital cardiac arrest were randomized to a temperature intervention of 33°C or 36°C. Serial lactate samples during the first 36 hours were collected. Admission lactate, 12-hour lactate, and the clearance of lactate within 12 hours after admission were analyzed and the association with 30-day mortality assessed. Results: Samples from 877 patients were analyzed. In univariate logistic regression analysis, the odds ratio for death by day 30 for each mmol/L was 1.12 (1.08-1.16) for admission lactate, P <.01, 1.21 (1.12-1.31) for 12-hour lactate, P <.01, and 1.003 (1.00-1.01) for each percentage point increase in 12-hour lactate clearance, P =.03. Only admission lactate and 12-hour lactate levels remained significant after adjusting for known predictors of outcome. The area under the receiver operating characteristic curve was 0.65 (0.61-0.69), P <.001, 0.61 (0.57-0.65), P <.001, and 0.53 (0.49-0.57), P =.15 for admission lactate, 12-hour lactate, and 12-hour lactate clearance, respectively. Conclusions: Admission lactate and 12-hour lactate values were independently associated with 30-day mortality after out-of-hospital cardiac arrest while 12-hour lactate clearance was not. The clinical value of lactate as the sole predictor of outcome after out-of-hospital cardiac arrest is, however, limited.
|
|
| 2. |
- Lagebrant, Alice, et al.
(författare)
-
Brain injury markers in blood associate with generalised oedema on computed tomography after cardiac arrest
- 2021
-
Ingår i: - : Springer Science and Business Media LLC. ; , s. 203-204
-
Konferensbidrag (refereegranskat)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.
|
|
| 3. |
- Moseby-Knappe, Marion, et al.
(författare)
-
Serum markers of brain injury can predict good neurological outcome after out-of-hospital cardiac arrest
- 2021
-
Ingår i: Intensive Care Medicine. - : Springer Science and Business Media LLC. - 0342-4642 .- 1432-1238. ; 47, s. 984-994
-
Tidskriftsartikel (refereegranskat)abstract
- Purpose The majority of unconscious patients after cardiac arrest (CA) do not fulfill guideline criteria for a likely poor outcome, their prognosis is considered "indeterminate". We compared brain injury markers in blood for prediction of good outcome and for identifying false positive predictions of poor outcome as recommended by guidelines. Methods Retrospective analysis of prospectively collected serum samples at 24, 48 and 72 h post arrest within the Target Temperature Management after out-of-hospital cardiac arrest (TTM)-trial. Clinically available markers neuron-specific enolase (NSE) and S100B, and novel markers neurofilament light chain (NFL), total tau, ubiquitin carboxy-terminal hydrolase L1 (UCH-L1) and glial fibrillary acidic protein (GFAP) were analysed. Normal levels with a priori cutoffs specified by reference laboratories or defined from literature were used to predict good outcome (no to moderate disability, Cerebral Performance Category scale 1-2) at 6 months. Results Seven hundred and seventeen patients were included. Normal NFL, tau and GFAP had the highest sensitivities (97.2-98% of poor outcome patients had abnormal serum levels) and NPV (normal levels predicted good outcome in 87-95% of patients). Normal S100B and NSE predicted good outcome with NPV 76-82.2%. Normal NSE correctly identified 67/190 (35.3%) patients with good outcome among those classified as "indeterminate outcome" by guidelines. Five patients with single pathological prognostic findings despite normal biomarkers had good outcome. Conclusion Low levels of brain injury markers in blood are associated with good neurological outcome after CA. Incorporating biomarkers into neuroprognostication may help prevent premature withdrawal of life-sustaining therapy.
|
|
| 4. |
- Andersson, Peder, et al.
(författare)
-
Predicting neurological outcome after out-of-hospital cardiac arrest with cumulative information; development and internal validation of an artificial neural network algorithm
- 2021
-
Ingår i: Critical Care. - : Springer Science and Business Media LLC. - 1364-8535. ; 25:1
-
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.
|
|
| 5. |
|
|
