scholarly journals Current practice of target temperature management post-cardiac arrest in the Netherlands, a post-TTM trial survey

Resuscitation ◽  
2015 ◽  
Vol 97 ◽  
pp. e1-e2 ◽  
Author(s):  
Evert-Jan Wils ◽  
Tineke van den Berg ◽  
Jasper van Bommel
Circulation ◽  
2019 ◽  
Vol 140 (Suppl_2) ◽  
Author(s):  
Jung Soo Park

Aim: We aimed to investigate the prognostic performance between serum NSE and cerebrospinal fluid (CSF) NSE for 6-month neurologic outcome in OHCA survivors underwent target temperature management (TTM). Hypothesis: We hypothesized that the NSE levels measured in the CSF would affect the change, earlier and more sensitively than serum, according to severity of hypoxic brain damage. Methods: This single-centre prospective observational study included out-of-hospital cardiac arrest (OHCA) patients underwent TTM. NSE levels were assessed in blood and CSF samples obtained immediately (Day 0), and 24 h (Day 1), 48 h (Day 2), and 72 h (Day 3) after return of spontaneous circulation (ROSC). The primary outcome was the 6-month neurological outcome. Results: We enrolled 34 patients (males, 24; 70.6%), 16 (47.1%) had a poor neurologic outcome. CSF NSE and serum NSE values were significantly higher in the poor outcome group compared to the good outcome group at each time point, except for serum Day 0. CSF NSE and serum NSE had area under curve (AUC) of 0.819-0.972 and 0.648-0.920, respectively. CSF NSE prognostic performances were significant higher than serum NSE at Day 1 and showed excellent AUC values (0.969; 95% Confidential Interval [CI] 0.844-0.999) and high sensitivity (93.8%; 95% CI 69.8-99.8) at 100% specificity. Conclusion: We found CSF NSE values were highly predictive and sensitive markers of 6-month poor neurological outcome in OHCA survivors treated with TTM at Day 1 after ROSC. Thus, CSF NSE level at day 1 after ROSC can be a useful early prognosticator in OHCA survivors.


2020 ◽  
Author(s):  
Ga Ram Jeon ◽  
Hong Joon Ahn ◽  
Jung Soo Park ◽  
Insool Yoo ◽  
Yeonho You ◽  
...  

Abstract Background: This study aimed to compare the day-specific association of blood–brain barrier (BBB) disruption with neurological outcomes in out-of-hospital cardiac arrest (OHCA) survivors treated with target temperature management (TTM).Methods: This retrospective single-center study included 68 OHCA survivors, who underwent TTM between April 2018 and December 2019. The albumin quotient (QA) was calculated as [albuminCSF] / [albuminserum] immediately (day 1), and at 24 h (day 2), 48 h (day 3), and 72 h (day 4) after return of spontaneous circulation (ROSC). The degree of BBB disruption was weighted using the following scoring system: 0.07 ≥ QA (normal), 0.01 ≥ QA > 0.007 (mild), 0.02 ≥ QA > 0.01 (moderate), and QA > 0.02 (severe). This system gave it 0 (normal), 1 (mild), 4 (moderate), and 9 (severe) points. Poor neurological outcome was determined at six months after ROSC and was defined as cerebral performance categories 3–5.Results: We enrolled 68 patients (males, 48; 71%); 37 (54%) of them had a poor neurological outcome. The distributions of this outcome at six months in patients with moderate and severe BBB disruption versus the other groups were 19/22 (80%) vs. 18/46 (50%) on day 1, 31/37 (79%) vs. 6/31 (32%) on day 2, 32/37 (81%) vs. 5/31 (30%) on day 3, and 32/39 (85%) vs. 5/29 (30%) on day 4 (P < 0.001). Using ROC analyses, the optimal cutoff values of QA levels for prediction of neurological outcomes were determined as: day 1, > 0.009 (sensitivity 56.8%, specificity 87.1%); day 2, > 0.012 (sensitivity 81.1%, specificity 87.1%); day 3, > 0.013 (sensitivity 83.8%, specificity 87.1%); day 4, > 0.013 (sensitivity 86.5%, specificity 87.1%); sum of all time points, > 0.039 (sensitivity 89.5%, specificity 79.4%); and scoring system, > 9 (sensitivity 91.9%, specificity 87.1%). Conclusions: Our results suggested that QA is a useful tool for predicting neurological outcomes in OHCA survivors treated with TTM. However, the prediction of poor neurological outcome using QA showed low sensitivity at 100% specificity. Thus, it could be used as part of a multimodal approach than as a single prognostic prediction tool.


2018 ◽  
Vol 46 (1) ◽  
pp. 125-125
Author(s):  
Yuka Nakatani ◽  
Takeo Nakayama ◽  
Kei Nishiyama ◽  
Yoshimitsu Takahashi

2019 ◽  
Vol 63 (8) ◽  
pp. 1079-1088
Author(s):  
Toni Pätz ◽  
Katharina Stelzig ◽  
Rüdiger Pfeifer ◽  
Undine Pittl ◽  
Holger Thiele ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document