Dynamic multivariate multiscale entropy based analysis on brain death diagnosis

2015 ◽  
Vol 58 (3) ◽  
pp. 425-433 ◽  
Author(s):  
Li Ni ◽  
JianTing Cao ◽  
RuBin Wang
Keyword(s):  
Brain Death ◽  
Multiscale Entropy ◽  
Brain Death Diagnosis ◽  
Multivariate Multiscale Entropy

Brain Death Diagnosis for Potential Organ Donors During the Covid-19 Pandemic

2021 ◽  
Vol 69 (4) ◽  
pp. 995
Author(s):  
GirijaP Rath ◽  
Siddharth Chavali ◽  
Deep Sengupta ◽  
SuryaK Dube
Keyword(s):  
Brain Death ◽  
Organ Donors ◽  
Brain Death Diagnosis

Brain Death: Diagnosis and Imaging Techniques

2018 ◽  
Vol 39 (5) ◽  
pp. 515-529 ◽  
Author(s):  
Tanvir Rizvi ◽  
Prem Batchala ◽  
Sugoto Mukherjee
Keyword(s):  
Brain Death ◽  
Imaging Techniques ◽  
Brain Death Diagnosis

scholarly journals Brain-Dead and Coma Patients Exhibit Different Serum Metabolic Profiles: A Novel Diagnostic Approach in Neurocritical Care

2021 ◽  
Author(s):  
Tomasz Dawiskiba ◽  
Wojciech Wojtowicz ◽  
Badr Qasem ◽  
Marceli Łukaszewski ◽  
Karolina Anna Mielko ◽  
...  
Keyword(s):  
Brain Death ◽  
Neurocritical Care ◽  
Clinical Symptoms ◽  
Proton Nuclear Magnetic Resonance ◽  
Sample Collection ◽  
Serum Samples ◽  
Multivariate Statistical ◽  
Brain Death Diagnosis ◽  
Brain Dead ◽  
Metabolomic Approach

Abstract There is a clear difference between severe brain damage and brain death. However, in clinical practice, the differentiation of these states can be challenging. Currently, there are no laboratory tools that facilitate brain death diagnosis. The aim of our study was to evaluate the utility of serum metabolomic analysis in differentiating coma patients (CP) from individuals with brain death (BD). Serum samples were collected from 23 adult individuals with established diagnosis of brain death and 24 patients in coma with Glasgow Coma Scale 3 or 4, with no other clinical symptoms of brain death for at least 7 days after sample collection. Serum metabolomic profiles were investigated using proton nuclear magnetic resonance (NMR) spectroscopy. The results obtained were examined by univariate and multivariate data analysis (PCA, PLS-DA, and OPLS-DA). Metabolic profiling allowed us to quantify 43 resonance signals, of which 34 were identified. Multivariate statistical modeling revealed a highly significant separation between coma patients and brain-dead individuals, as well as strong predictive potential. The findings not only highlight the potential of the metabolomic approach for distinguishing patients in coma from those in the state of brain death but also may provide an understanding of the pathogenic mechanisms underlying these conditions.

scholarly journals Evaluation of Patients with Brain Death Diagnosis and Investigation of the Effect of New Regulation on the Duration of Diagnosis

2019 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
Savaş Altınsoy ◽  
Elif Şule Özdemir ◽  
İlkay Baran ◽  
Fatma Kavak Akelma ◽  
Mukaddes Tuğba Arslan ◽  
...  
Keyword(s):  
Brain Death ◽  
Brain Death Diagnosis

Confirmation of brain death diagnosis: A study on French practice

2015 ◽  
Vol 34 (3) ◽  
pp. 145-150 ◽  
Author(s):  
Jean-Christophe Orban ◽  
Elodie Ferret ◽  
Patrick Jambou ◽  
Carole Ichai
Keyword(s):  
Brain Death ◽  
Brain Death Diagnosis

scholarly journals Attitude of Healthcare Professionals: A Major Limiting Factor in Organ Donation from Brain-Dead Donors

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Maciej Kosieradzki ◽  
Anna Jakubowska-Winecka ◽  
Michal Feliksiak ◽  
Ilona Kawalec ◽  
Ewa Zawilinska ◽  
...  
Keyword(s):  
Brain Death ◽  
Organ Donation ◽  
Intensive Therapy ◽  
Clinical Signs ◽  
Deceased Donor ◽  
Limiting Factor ◽  
Brain Death Diagnosis ◽  
Donation Rate ◽  
Organ Recovery ◽  
Donation Activity

Public attitude toward deceased donor organ recovery in Poland is quite positive, with only 15% opposing to donation of their own organs, yet actual donation rate is only 16/pmp. Moreover, donation rate varies greatly (from 5 to 28 pmp) in different regions of the country. To identify the barriers of organ donation, we surveyed 587 physicians involved in brain death diagnosis from regions with low (LDR) and high donation rates (HDR). Physicians from LDR were twice more reluctant to start diagnostic procedure when clinical signs of brain death were present (14% versus 5.5% physicians from HDR who would not diagnose death, resp.). Twenty-five percent of LDR physicians (as opposed to 12% of physicians from HDR) would either continue with intensive therapy or confirm brain death and limit to the so-called minimal therapy. Only 32% of LDR physicians would proceed with brain death diagnosis regardless of organ donation, compared to 67% in HDR. When donation was not an option, mechanical ventilation would be continued more often in LDR regions (43% versus 26.7%;P<0.01). In conclusion, low donation activity seems to be mostly due to medical staff attitude.

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