1
|
Park JS, Kang C, Min JH, You Y, Jeong W, Ahn HJ, In YN, Kim YM, Oh SK, Jeon SY, Lee IH, Jeong HS, Lee BK. Optimal timing of ultra-early diffusion-weighted MRI in out-of-hospital cardiac arrest patients based on a retrospective multicenter cohort study. Sci Rep 2024; 14:25284. [PMID: 39455676 PMCID: PMC11511938 DOI: 10.1038/s41598-024-76418-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2024] [Accepted: 10/14/2024] [Indexed: 10/28/2024] Open
Abstract
Diffusion-weighted magnetic resonance imaging (DW-MRI) performed before target temperature management, within 6 h of return of spontaneous circulation (ROSC), is defined as ultra-early DW-MRI. In previous studies, high-signal intensity (HSI) on ultra-early DW-MRI can predict poor neurological outcomes (Cerebral Performance Category 3-5 at 6-months post-ROSC). We aimed to assess the optimal-timing for ultra-early DW-MRI to avoid false-negative outcomes post out-of-hospital cardiac arrest, considering cardiopulmonary resuscitation (CPR) factors. The primary outcomes were HSI in the cerebral cortex or deep gray matter on ultra-early DW-MRI. The impact of CPR factors and ROSC to DW-MRI scan-interval on HSI-presence was assessed. Of 206 included patients, 108 exhibited HSI-presence, exclusively associated with poor neurological outcomes. In multivariate regression analysis, ROSC to DW-MRI scan-interval (adjusted odds ratio [aOR], 1.509; 95% confidence interval (CI): 1.113-2.046; P = 0.008), low-flow time (aOR, 1.176; 95%CI: 1.121-1.233; P < 0.001), and non-shockable rhythm (aOR, 9.974; 95%CI: 3.363-29.578; P < 0.001) were independently associated with HSI-presence. ROSC to DW-MRI scan-interval cutoff of ≥ 2.2 h was particularly significant in low-flow time ≤ 21 min or shockable rhythm group. In conclusion, short low-flow time and shockable rhythm require a longer ROSC to DW-MRI scan-interval. Prolonged low-flow time and non-shockable rhythm reduce the need to consider scan-interval.
Collapse
Affiliation(s)
- Jung Soo Park
- Department of Emergency Medicine, College of Medicine, Chungnam National University, 266, Munhwa-ro, Jung-gu, Daejeon, Republic of Korea
- Department of Emergency Medicine, Chungnam National University Hospital, 282, Munhwa-ro, Jung-gu, Daejeon, Republic of Korea
| | - Changshin Kang
- Department of Emergency Medicine, College of Medicine, Chungnam National University, 266, Munhwa-ro, Jung-gu, Daejeon, Republic of Korea
- Department of Emergency Medicine, Chungnam National University Hospital, 282, Munhwa-ro, Jung-gu, Daejeon, Republic of Korea
| | - Jin Hong Min
- Department of Emergency Medicine, College of Medicine, Chungnam National University, 266, Munhwa-ro, Jung-gu, Daejeon, Republic of Korea.
- Department of Emergency Medicine, Chungnam National University Sejong Hospital, 7, Bodam-ro, Sejong, Republic of Korea.
| | - Yeonho You
- Department of Emergency Medicine, College of Medicine, Chungnam National University, 266, Munhwa-ro, Jung-gu, Daejeon, Republic of Korea
- Department of Emergency Medicine, Chungnam National University Hospital, 282, Munhwa-ro, Jung-gu, Daejeon, Republic of Korea
| | - Wonjoon Jeong
- Department of Emergency Medicine, College of Medicine, Chungnam National University, 266, Munhwa-ro, Jung-gu, Daejeon, Republic of Korea
- Department of Emergency Medicine, Chungnam National University Hospital, 282, Munhwa-ro, Jung-gu, Daejeon, Republic of Korea
| | - Hong Joon Ahn
- Department of Emergency Medicine, College of Medicine, Chungnam National University, 266, Munhwa-ro, Jung-gu, Daejeon, Republic of Korea
- Department of Emergency Medicine, Chungnam National University Hospital, 282, Munhwa-ro, Jung-gu, Daejeon, Republic of Korea
| | - Yong Nam In
- Department of Emergency Medicine, College of Medicine, Chungnam National University, 266, Munhwa-ro, Jung-gu, Daejeon, Republic of Korea
- Department of Emergency Medicine, Chungnam National University Sejong Hospital, 7, Bodam-ro, Sejong, Republic of Korea
| | - Young Min Kim
- Department of Emergency Medicine, Chungbuk National University Hospital, 1473, Seobu-ro, Seowon-gu, Cheongju-si, Chungcheongbuk-do, Republic of Korea
| | - Se Kwang Oh
- Department of Emergency Medicine, College of Medicine, Chungnam National University, 266, Munhwa-ro, Jung-gu, Daejeon, Republic of Korea
- Department of Emergency Medicine, Chungnam National University Sejong Hospital, 7, Bodam-ro, Sejong, Republic of Korea
| | - So Young Jeon
- Department of Emergency Medicine, Chungnam National University Hospital, 282, Munhwa-ro, Jung-gu, Daejeon, Republic of Korea
| | - In Ho Lee
- Department of Radiology, College of Medicine, Chungnam National University, 266, Munhwa-ro, Jung-gu, Daejeon, Republic of Korea
| | - Hye Seon Jeong
- Department of Neurology, Chungnam National University Hospital, 282, Munhwa-ro, Jung-gu, Daejeon, Republic of Korea
| | - Byung Kook Lee
- Department of Emergency Medicine, Chonnam National University Medical School, Chonnam National University Hospital, 160, Baekseo-ro, Dong-gu, Gwangju, Republic of Korea
| |
Collapse
|
2
|
Lewis A. An Update on Brain Death/Death by Neurologic Criteria since the World Brain Death Project. Semin Neurol 2024; 44:236-262. [PMID: 38621707 DOI: 10.1055/s-0044-1786020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/17/2024]
Abstract
The World Brain Death Project (WBDP) is a 2020 international consensus statement that provides historical background and recommendations on brain death/death by neurologic criteria (BD/DNC) determination. It addresses 13 topics including: (1) worldwide variance in BD/DNC, (2) the science of BD/DNC, (3) the concept of BD/DNC, (4) minimum clinical criteria for BD/DNC determination, (5) beyond minimum clinical BD/DNC determination, (6) pediatric and neonatal BD/DNC determination, (7) BD/DNC determination in patients on ECMO, (8) BD/DNC determination after treatment with targeted temperature management, (9) BD/DNC documentation, (10) qualification for and education on BD/DNC determination, (11) somatic support after BD/DNC for organ donation and other special circumstances, (12) religion and BD/DNC: managing requests to forego a BD/DNC evaluation or continue somatic support after BD/DNC, and (13) BD/DNC and the law. This review summarizes the WBDP content on each of these topics and highlights relevant work published from 2020 to 2023, including both the 192 citing publications and other publications on BD/DNC. Finally, it reviews questions for future research related to BD/DNC and emphasizes the need for national efforts to ensure the minimum standards for BD/DNC determination described in the WBDP are included in national BD/DNC guidelines and due consideration is given to the recommendations about social and legal aspects of BD/DNC determination.
Collapse
Affiliation(s)
- Ariane Lewis
- Division of Neurocritical Care, Department of Neurology and Neurosurgery, NYU Langone Medical Center, New York
| |
Collapse
|
3
|
Bevers MB. Refining the continuum of neurologic prognosis - Predicting brain death after cardiac arrest. Resuscitation 2023; 192:109990. [PMID: 37805059 DOI: 10.1016/j.resuscitation.2023.109990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 09/27/2023] [Indexed: 10/09/2023]
Affiliation(s)
- Matthew B Bevers
- Division of Neurocritical Care, Brigham and Women's Hospital, Boston, MA, United States
| |
Collapse
|
4
|
Kitlen E, Kim N, Rubenstein A, Keenan C, Garcia G, Khosla A, Johnson J, Miller PE, Wira C, Greer D, Gilmore EJ, Beekman R. Development and validation of a novel score to predict brain death after out-of-hospital cardiac arrest. Resuscitation 2023; 192:109955. [PMID: 37661012 DOI: 10.1016/j.resuscitation.2023.109955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 08/21/2023] [Accepted: 08/27/2023] [Indexed: 09/05/2023]
Abstract
BACKGROUND AND OBJECTIVES Brain death (BD) occurs in 9-24% of successfully resuscitated out-of-hospital cardiac arrests (OHCA). To predict BD after OHCA, we developed a novel brain death risk (BDR) score. METHODS We identified independent predictors of BD after OHCA in a retrospective, single academic center cohort between 2011 and 2021. The BDR score ranges from 0 to 7 points and includes: non-shockable rhythm (1 point), drug overdose as etiology of arrest (1 point), evidence of grey-white differentiation loss or sulcal effacement on head computed tomography (CT) radiology report within 24 hours of arrest (2 points), Full-Outline-Of-UnResponsiveness (FOUR) score of 0 (2 points), FOUR score 1-5 (1 point), and age <45 years (1 point). We internally validated the BDR score using k-fold cross validation (k = 8) and externally validated the score at an independent academic center. The main outcome was BD. RESULTS The development cohort included 362OHCA patients, of whom 18% (N = 58) experienced BD. Internal validation provided an area under the receiving operator characteristic curve (AUC) (95% CI) of 0.931 (0.905-0.957). In the validation cohort, 19.8% (N = 17) experienced BD. The AUC (95% CI) was 0.849 (0.765-0.933). In both cohorts, a BDR score >4 was the optimal cut off (sensitivity 0.903 and 0.882, specificity 0.830 and 0.652, in the development and validation cohorts respectively). DISCUSSION The BDR score identifies those at highest risk for BD after OHCA. Our data suggest that a BDR score >4 is the optimal cut off.
Collapse
Affiliation(s)
- Eva Kitlen
- Department of Neurology, Yale School of Medicine, New Haven, CT, United States
| | - Noah Kim
- Department of Neurology, Yale School of Medicine, New Haven, CT, United States
| | - Alexandra Rubenstein
- Department of Neurology, Boston University Medical Center, Boston, MA, United States
| | - Caitlyn Keenan
- Department of Neurology, Boston University Medical Center, Boston, MA, United States
| | - Gabriella Garcia
- Department of Neurology, University of Pennsylvania, PA, United States
| | - Akhil Khosla
- Department of Pulmonary Critical Care, Yale School of Medicine, New Haven, CT, United States
| | | | - P Elliott Miller
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, United States
| | - Charles Wira
- Department of Emergency Medicine, Yale School of Medicine, New Haven, CT, United States
| | - David Greer
- Department of Neurology, Boston University Medical Center, Boston, MA, United States
| | - Emily J Gilmore
- Department of Neurology, Yale School of Medicine, New Haven, CT, United States
| | - Rachel Beekman
- Department of Neurology, Yale School of Medicine, New Haven, CT, United States.
| |
Collapse
|
5
|
Yoon JA, Kang C, Park JS, You Y, Min JH, In YN, Jeong W, Ahn HJ, Lee IH, Jeong HS, Lee BK, Lee JK. Quantitative analysis of early apparent diffusion coefficient values from MRIs for predicting neurological prognosis in survivors of out-of-hospital cardiac arrest: an observational study. Crit Care 2023; 27:407. [PMID: 37880777 PMCID: PMC10599006 DOI: 10.1186/s13054-023-04696-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 10/19/2023] [Indexed: 10/27/2023] Open
Abstract
BACKGROUND This study aimed to quantitatively analyse ultra-early brain diffusion-weighted magnetic resonance imaging (DW-MRI) findings to determine the apparent diffusion coefficient (ADC) threshold associated with neurological outcomes in comatose survivors of out-of-hospital cardiac arrest (OHCA). METHODS This retrospective study included adult survivors of comatose OHCA who underwent DW-MRI imaging scans using a 3-T MRI scanner within 6 h of the return of spontaneous circulation (ROSC). We investigated the association between neurological outcomes and ADC values obtained through voxel-based analysis on DW-MRI. Additionally, we constructed multivariable logistic regression models with pupillary light reflex (PLR), serum neuron-specific enolase (NSE), and ADC values as independent variables to predict poor neurological outcomes. The primary outcome was poor neurological outcome 6 months after ROSC, determined by the Cerebral Performance Category 3-5. RESULTS Overall, 131 patients (26% female) were analysed, of whom 74 (57%) showed poor neurological outcomes. The group with a poor neurological outcome had lower mean whole brain ADC values (739.1 vs. 787.1 × 10-6 mm/s) and higher percentages of voxels with ADC below threshold in all ranges (250-1150) (all P < 0.001). The mean whole brain ADC values (area under the receiver operating characteristic curve [AUC] 0.83) and the percentage of voxels with ADC below 600 (AUC 0.81) had the highest sensitivity of 51% (95% confidence interval [CI] 39.4-63.1; cut-off value ≤ 739.2 × 10-6 mm2/s and > 17.2%, respectively) when the false positive rate (FPR) was 0%. In the multivariable model, which also included PLR, NSE, and mean whole brain ADC values, poor neurological outcome was predicted with the highest accuracy (AUC 0.91; 51% sensitivity). This model showed more accurate prediction and sensitivity at an FPR of 0% than did the combination of PLR and NSE (AUC 0.86; 30% sensitivity; P = 0.03). CONCLUSIONS In this cohort study, early voxel-based quantitative ADC analysis after ROSC was associated with poor neurological outcomes 6 months after cardiac arrest. The mean whole brain ADC value demonstrated the highest sensitivity when the FPR was 0%, and including it in the multivariable model improved the prediction of poor neurological outcomes.
Collapse
Affiliation(s)
- Jung A Yoon
- Department of Emergency Medicine, Chungnam National University Hospital, Daejoen, Republic of Korea
| | - Changshin Kang
- Department of Emergency Medicine, Chungnam National University Hospital, Daejoen, Republic of Korea
- Department of Emergency Medicine, College of Medicine, Chungnam National University, 266 Munwha-ro, Jung-gu, Daejeon, 35015, Republic of Korea
| | - Jung Soo Park
- Department of Emergency Medicine, Chungnam National University Hospital, Daejoen, Republic of Korea.
- Department of Emergency Medicine, College of Medicine, Chungnam National University, 266 Munwha-ro, Jung-gu, Daejeon, 35015, Republic of Korea.
| | - Yeonho You
- Department of Emergency Medicine, Chungnam National University Hospital, Daejoen, Republic of Korea
- Department of Emergency Medicine, College of Medicine, Chungnam National University, 266 Munwha-ro, Jung-gu, Daejeon, 35015, Republic of Korea
| | - Jin Hong Min
- Department of Emergency Medicine, College of Medicine, Chungnam National University, 266 Munwha-ro, Jung-gu, Daejeon, 35015, Republic of Korea
- Department of Emergency Medicine, Sejong Chungnam National University Hospital, Daejoen, Republic of Korea
| | - Yong Nam In
- Department of Emergency Medicine, College of Medicine, Chungnam National University, 266 Munwha-ro, Jung-gu, Daejeon, 35015, Republic of Korea
- Department of Emergency Medicine, Sejong Chungnam National University Hospital, Daejoen, Republic of Korea
| | - Wonjoon Jeong
- Department of Emergency Medicine, Chungnam National University Hospital, Daejoen, Republic of Korea
- Department of Emergency Medicine, College of Medicine, Chungnam National University, 266 Munwha-ro, Jung-gu, Daejeon, 35015, Republic of Korea
| | - Hong Joon Ahn
- Department of Emergency Medicine, Chungnam National University Hospital, Daejoen, Republic of Korea
- Department of Emergency Medicine, College of Medicine, Chungnam National University, 266 Munwha-ro, Jung-gu, Daejeon, 35015, Republic of Korea
| | - In Ho Lee
- Department of Radiology, College of Medicine, Chungnam National University, 266, Munhwa-ro, Jung-gu, Daejeon, Republic of Korea
| | - Hye Seon Jeong
- Department of Neurology, Chungnam National University Hospital, Daejeon, Republic of Korea
| | - Byung Kook Lee
- Department of Emergency Medicine, Chonnam National University Medical School, Chonnam National University Hospital, Gwangju, Republic of Korea
| | - Jae Kwang Lee
- Department of Emergency Medicine, College of Medicine, Konyang University Hospital, Daejeon, Republic of Korea
| |
Collapse
|
6
|
Kang C, Min JH, Park JS, You Y, Jeong W, Ahn HJ, In YN, Lee IH, Jeong HS, Lee BK, Jeong J. Association of ultra-early diffusion-weighted magnetic resonance imaging with neurological outcomes after out-of-hospital cardiac arrest. Crit Care 2023; 27:16. [PMID: 36639809 PMCID: PMC9837995 DOI: 10.1186/s13054-023-04305-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 01/06/2023] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND This study aimed to investigate the association between ultra-early (within 6 h after return of spontaneous circulation [ROSC]) brain diffusion-weighted magnetic resonance imaging (DW-MRI) and neurological outcomes in comatose survivors after out-of-hospital cardiac arrest. METHODS We conducted a registry-based observational study from May 2018 to February 2022 at a Chungnam national university hospital in Daejeon, Korea. Presence of high-signal intensity (HSI) (PHSI) was defined as a HSI on DW-MRI with corresponding hypoattenuation on the apparent diffusion coefficient map irrespective of volume after hypoxic ischemic brain injury; absence of HSI was defined as AHSI. The primary outcome was the dichotomized cerebral performance category (CPC) at 6 months, defined as good (CPC 1-2) or poor (CPC 3-5). RESULTS Of the 110 patients (30 women [27.3%]; median (interquartile range [IQR]) age, 58 [38-69] years), 48 (43.6%) had a good neurological outcome, time from ROSC to MRI scan was 2.8 h (IQR 2.0-4.0 h), and the PHSI on DW-MRI was observed in 46 (41.8%) patients. No patients in the PHSI group had a good neurological outcome compared with 48 (75%) patients in the AHSI group. In the AHSI group, cerebrospinal fluid (CSF) neuron-specific enolase (NSE) levels were significantly lower in the group with good neurological outcome compared to the group with poor neurological outcome (20.1 [14.4-30.7] ng/mL vs. 84.3 [32.4-167.0] ng/mL, P < 0.001). The area under the curve for PHSI on DW-MRI was 0.87 (95% confidence interval [CI] 0.80-0.93), and the specificity and sensitivity for predicting a poor neurological outcome were 100% (95% CI 91.2%-100%) and 74.2% (95% CI 62.0-83.5%), respectively. A higher sensitivity was observed when CSF NSE levels were combined (88.7% [95% CI 77.1-95.1%]; 100% specificity). CONCLUSIONS In this cohort study, PHSI findings on ultra-early DW-MRI were associated with poor neurological outcomes 6 months following the cardiac arrest. The combined CSF NSE levels showed higher sensitivity at 100% specificity than on DW-MRI alone. Prospective multicenter studies are required to confirm these results.
Collapse
Affiliation(s)
- Changshin Kang
- grid.411665.10000 0004 0647 2279Department of Emergency Medicine, Chungnam National University Hospital, Daejeon, Republic of Korea ,grid.254230.20000 0001 0722 6377Department of Emergency Medicine, College of Medicine, Chungnam National University, 266 Munwha-ro, Jung-gu, Daejeon, 35015 Republic of Korea
| | - Jin Hong Min
- grid.254230.20000 0001 0722 6377Department of Emergency Medicine, College of Medicine, Chungnam National University, 266 Munwha-ro, Jung-gu, Daejeon, 35015 Republic of Korea
| | - Jung Soo Park
- grid.411665.10000 0004 0647 2279Department of Emergency Medicine, Chungnam National University Hospital, Daejeon, Republic of Korea ,grid.254230.20000 0001 0722 6377Department of Emergency Medicine, College of Medicine, Chungnam National University, 266 Munwha-ro, Jung-gu, Daejeon, 35015 Republic of Korea
| | - Yeonho You
- grid.411665.10000 0004 0647 2279Department of Emergency Medicine, Chungnam National University Hospital, Daejeon, Republic of Korea
| | - Wonjoon Jeong
- grid.411665.10000 0004 0647 2279Department of Emergency Medicine, Chungnam National University Hospital, Daejeon, Republic of Korea ,grid.254230.20000 0001 0722 6377Department of Emergency Medicine, College of Medicine, Chungnam National University, 266 Munwha-ro, Jung-gu, Daejeon, 35015 Republic of Korea
| | - Hong Joon Ahn
- grid.411665.10000 0004 0647 2279Department of Emergency Medicine, Chungnam National University Hospital, Daejeon, Republic of Korea ,grid.254230.20000 0001 0722 6377Department of Emergency Medicine, College of Medicine, Chungnam National University, 266 Munwha-ro, Jung-gu, Daejeon, 35015 Republic of Korea
| | - Yong Nam In
- grid.254230.20000 0001 0722 6377Department of Emergency Medicine, College of Medicine, Chungnam National University, 266 Munwha-ro, Jung-gu, Daejeon, 35015 Republic of Korea
| | - In Ho Lee
- grid.254230.20000 0001 0722 6377Department of Radiology, College of Medicine, Chungnam National University, 266, Munhwa-ro, Jung-gu, Daejeon, Republic of Korea
| | - Hye Seon Jeong
- grid.411665.10000 0004 0647 2279Department of Neurology, Chungnam National University Hospital, Daejeon, Republic of Korea
| | - Byung Kook Lee
- grid.14005.300000 0001 0356 9399Department of Emergency Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Jinwoo Jeong
- grid.255166.30000 0001 2218 7142Department of Emergency Medicine, Dong-A University College of Medicine, Busan, Korea
| |
Collapse
|
7
|
Busl KM, Maciel CB. When the heart comes back but the brain is lost-are we ready to predict brain death after cardiac arrest? Resuscitation 2022; 179:256-258. [PMID: 36089161 DOI: 10.1016/j.resuscitation.2022.09.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 09/02/2022] [Indexed: 10/14/2022]
Affiliation(s)
- Katharina M Busl
- Department of Neurology, Division of Neurocritical Care, University of Florida College of Medicine, Gainesville, FL 32611, USA.
| | - Carolina B Maciel
- Department of Neurology, Division of Neurocritical Care, University of Florida College of Medicine, Gainesville, FL 32611, USA; Department of Neurology, Yale University School of Medicine, New Haven, CT 06520, USA; Department of Neurology, University of Utah, Salt Lake City, UT 84132, USA.
| |
Collapse
|