scispace - formally typeset
Search or ask a question

How to determine death? 


Best insight from top research papers

Death can be determined using different criteria. The neurological criterion, which involves the irreversible cessation of the whole brain or brain stem, is practiced in at least 80 countries . Another method is the cardio-circulatory criterion, which allows for organ donation following cardio-circulatory arrest . The gold standard method for death time estimation is the nomogram method based on the two-exponential model of body cooling . However, recent developments have focused on increasing the accuracy of death time estimation by considering various influencing factors . The brain-as-a-whole criterion has been proposed as an alternative to the whole-brain criterion, but it is still in the early developmental stage . Integrated and coordinated biologic activities, as well as the persistence of any form of brain function or autonomous integration of vital functions, can be used as criteria to determine if a human being is alive . Computed tomography perfusion (CTP) has been suggested as a technique to determine brain death by focusing on brainstem function .

Answers from top 5 papers

More filters
Papers (5)Insight
The paper discusses the need for a valid test to determine the chances of survival of a patient at the time of presentation. It suggests that imaging of the brainstem is vital for determining when death has occurred. The technique of computed tomography perfusion (CTP) is proposed as a way to determine brain death and brainstem death.
The paper discusses the challenge of determining death and proposes two criteria: the persistence of any form of brain function or the persistence of autonomous integration of vital functions.
The paper discusses the concept of determining death based on the permanent cessation of the human organism-as-a-whole, specifically focusing on the brain criterion of death. It suggests that the current whole-brain criterion could be changed to a brain-as-a-whole criterion, but further analysis is needed. The paper also mentions the noncongruence between the biological concept of death as irreversible and the medical practice of determining death when vital functions have permanently ceased but not irreversibly. However, it does not provide a specific method for determining death.
The paper discusses various methods for determining the time of death, including the use of a nomogram method based on body cooling, examination of skeletal muscle excitability, and consideration of influencing factors such as preexisting diseases and ambient temperature. However, the paper does not provide specific information on how to determine death itself.
The paper discusses the determination of death by neurological or cardio-circulatory criteria, but does not provide a specific answer on how to determine death.

Related Questions

How to determine climate change?5 answersDetermining climate change involves analyzing various indicators like global temperature and precipitation patterns over time. One method is to train neural networks on CMIP6 data to predict years based on temperature and precipitation means. Principal component analysis (PCA) can help assess climate change significance by analyzing meteorological parameters like air temperature and precipitation sums on annual and seasonal bases. Optimal fingerprinting techniques, such as regression of observed climate variables on model responses under external forcings, aid in detection and attribution analyses of climate change, highlighting the importance of considering uncertainties in estimating natural variability. Additionally, an optimal method for estimating time-dependent climate change signals from general circulation models can help identify detectable anomalies in surface air temperature and precipitation across different continents.
How accurate are forensic taphonomy identification methods in determining the time of death of a deceased individual?5 answersForensic taphonomy plays a crucial role in determining the time of death by considering various factors such as decomposition processes, environmental variables, and the impact of the deceased body itself. Additionally, forensic anthropology provides methods for skeletal identification, including estimating time-since-death, which enhances the accuracy of identification methods. Despite traditional techniques' limitations in determining the postmortem interval, ongoing research aims to establish new criteria based on biomarkers to accurately determine the time since death. However, specific methods like Lamendin's approach for estimating age at death may have limitations in forensic applications, although they show promise in anthropological contexts. Understanding taphonomic processes and the influence of environmental and case-specific variables is crucial for precise postmortem interval estimations, contributing significantly to forensic investigations.
How to predict mortality with machine learning?5 answersMachine learning algorithms have been used to predict mortality rates in various healthcare settings, including intensive care units (ICUs) and hospitals. These algorithms analyze health records and patient data to identify factors associated with in-hospital mortality. Different machine learning models, such as Decision Tree (DT), Random Forest (RF), K-Nearest Neighbors (KNN), Logistic Regression (LR), elastic net model, artificial neural network (ANN), ResNet deep learning, and CatBoost gradient boosting, have been employed for mortality prediction. These models have shown good performance in terms of accuracy, sensitivity, and specificity, with area under the receiver-operating curve (AUROC) ranging from 78% to 92%. They can assist healthcare providers in optimizing resource utilization, guiding clinical decision-making, and improving patient outcomes.
What other methods could be used to study suicide rates and life expectancy?3 answersThere are several methods that can be used to study suicide rates and life expectancy. One method is the decomposition method, which quantifies the impact of suicide on life expectancy by analyzing the contributions of different factors such as incidence and age components. Another method is the life table approach, which assesses the impact of suicide at a population level by comparing it with the years of life lost approach. Additionally, the age-incidence decomposition method can be used to separate the contributions of change in suicide rates and change in the average age of suicide victims to understand their effects on life expectancy. Furthermore, studying excess mortality among suicide attempters compared to the general population can provide insights into the impact of suicide on life expectancy. Finally, complex time-series techniques can be used to examine the relationships between suicide rates and factors such as the use of antidepressants.
Data mining techniques for predicting mortality?5 answersData mining techniques have been used to predict mortality in various fields. In the context of stroke patients, popular algorithms such as support vector machine (SVM), decision tree, and logistic regression (LR) were employed to predict survival. LR outperformed other algorithms in terms of accuracy, sensitivity, and kappa, although specificity and AUC scores were lower. An independent dataset was used to validate the LR algorithm, resulting in improved performance in accuracy, sensitivity, kappa, and AUC. Decision rules were also extracted for clinical usage. In the case of COVID-19 patients, data mining models such as random forest, KNN, MLP, and J48 were used to predict mortality. Random forest was found to be the best model based on various evaluation metrics. These models can help in health resource management and prevent outbreak and death caused by COVID-19. In the study of hemorrhagic stroke patients, J48 and Jrip algorithms showed higher performance in mortality prediction compared to Multilayer Perceptron.
How is ICU predicted death calculated?10 answers