Suchergebnisse

AbstractThis paper deals with the analysis of a model for studying the probability of survival of a subterranean target under an intensive attack. Most of the analysis is based on the assumption that the explosions are circularly distributed about the target and that the number of explosions is known. In the last two sections it is shown what effect a relaxation of these assumptions has on the probability of survival of the target.

Trauma is the main cause of death in paediatric population worldwide. Lithuania has the highest trauma-related mortality in the European Union (EU). Lithuanian standardised injury death rate is 150.9 per 100000 inhabitants while in comparison the mean standardised injury death rate in the EU is 41.4, and the lowest one is in the Netherlands (26.4 injury death rate per 100000 inhabitants). The aim of this study was to analyze the impact of pre-hospital and in-hospital emergent trauma care on severe pediatric trauma outcomes, performing a prospective observational clinical trial in the Vilnius University Children's Hospital and Vilnius Pre-hospital Emergency Service Center. Trauma registry fields were defined in details and validated during this study. The recommended quality indicators were defined and used for pre-hospital pediatric trauma care and in-hospital emergent management evaluation. The study results showed that the level of pre-hospital care is associated statistically significantly with trauma outcomes: higher pre-hospital care level caused better trauma outcome assessed according to the Glasgow Outcome Scale. The longer time until the first key emergency intervention in hospital was associated statistically significantly with the worse trauma outcomes. Calculation of the Probability of survival (Ps) according to Trauma Score Injury Severity Score model (TRISS) revealed unexpected death (Ps > 50 %) rate 74%. The reasons for fatal outcome in the patient group with the survival probability over 50% should be further investigated.

Trauma is the main cause of death in paediatric population worldwide. Lithuania has the highest trauma-related mortality in the European Union (EU). Lithuanian standardised injury death rate is 150.9 per 100000 inhabitants while in comparison the mean standardised injury death rate in the EU is 41.4, and the lowest one is in the Netherlands (26.4 injury death rate per 100000 inhabitants). The aim of this study was to analyze the impact of pre-hospital and in-hospital emergent trauma care on severe pediatric trauma outcomes, performing a prospective observational clinical trial in the Vilnius University Children's Hospital and Vilnius Pre-hospital Emergency Service Center. Trauma registry fields were defined in details and validated during this study. The recommended quality indicators were defined and used for pre-hospital pediatric trauma care and in-hospital emergent management evaluation. The study results showed that the level of pre-hospital care is associated statistically significantly with trauma outcomes: higher pre-hospital care level caused better trauma outcome assessed according to the Glasgow Outcome Scale. The longer time until the first key emergency intervention in hospital was associated statistically significantly with the worse trauma outcomes. Calculation of the Probability of survival (Ps) according to Trauma Score Injury Severity Score model (TRISS) revealed unexpected death (Ps > 50 %) rate 74%. The reasons for fatal outcome in the patient group with the survival probability over 50% should be further investigated.

Trauma is the main cause of death in paediatric population worldwide. Lithuania has the highest trauma-related mortality in the European Union (EU). Lithuanian standardised injury death rate is 150.9 per 100000 inhabitants while in comparison the mean standardised injury death rate in the EU is 41.4, and the lowest one is in the Netherlands (26.4 injury death rate per 100000 inhabitants). The aim of this study was to analyze the impact of pre-hospital and in-hospital emergent trauma care on severe pediatric trauma outcomes, performing a prospective observational clinical trial in the Vilnius University Children's Hospital and Vilnius Pre-hospital Emergency Service Center. Trauma registry fields were defined in details and validated during this study. The recommended quality indicators were defined and used for pre-hospital pediatric trauma care and in-hospital emergent management evaluation. The study results showed that the level of pre-hospital care is associated statistically significantly with trauma outcomes: higher pre-hospital care level caused better trauma outcome assessed according to the Glasgow Outcome Scale. The longer time until the first key emergency intervention in hospital was associated statistically significantly with the worse trauma outcomes. Calculation of the Probability of survival (Ps) according to Trauma Score Injury Severity Score model (TRISS) revealed unexpected death (Ps > 50 %) rate 74%. The reasons for fatal outcome in the patient group with the survival probability over 50% should be further investigated.

Trauma is the main cause of death in paediatric population worldwide. Lithuania has the highest trauma-related mortality in the European Union (EU). Lithuanian standardised injury death rate is 150.9 per 100000 inhabitants while in comparison the mean standardised injury death rate in the EU is 41.4, and the lowest one is in the Netherlands (26.4 injury death rate per 100000 inhabitants). The aim of this study was to analyze the impact of pre-hospital and in-hospital emergent trauma care on severe pediatric trauma outcomes, performing a prospective observational clinical trial in the Vilnius University Children's Hospital and Vilnius Pre-hospital Emergency Service Center. Trauma registry fields were defined in details and validated during this study. The recommended quality indicators were defined and used for pre-hospital pediatric trauma care and in-hospital emergent management evaluation. The study results showed that the level of pre-hospital care is associated statistically significantly with trauma outcomes: higher pre-hospital care level caused better trauma outcome assessed according to the Glasgow Outcome Scale. The longer time until the first key emergency intervention in hospital was associated statistically significantly with the worse trauma outcomes. Calculation of the Probability of survival (Ps) according to Trauma Score Injury Severity Score model (TRISS) revealed unexpected death (Ps > 50 %) rate 74%. The reasons for fatal outcome in the patient group with the survival probability over 50% should be further investigated.

Based on subjective survival probability questions in the Health and Retirement Study (HRS), we use an econometric model to estimate the determinants of individual-level uncertainty about personal longevity. This model is built around the modal response hypothesis (MRH), a mathematical expression of the idea that survey responses of 0%, 50%, or 100% to probability questions indicate a high level of uncertainty about the relevant probability. We show that subjective survival expectations in 2002 line up very well with realized mortality of the HRS respondents between 2002 and 2010. We show that the MRH model performs better than typically used models in the literature of subjective probabilities. Our model gives more accurate estimates of low probability events and it is able to predict the unusually high fraction of focal 0%, 50%, and 100% answers observed in many data sets on subjective probabilities. We show that subjects place too much weight on parents' age at death when forming expectations about their own longevity, whereas other covariates such as demographics, cognition, personality, subjective health, and health behavior are underweighted. We also find that less educated people, smokers, and women have less certain beliefs, and recent health shocks increase uncertainty about survival, too.

Trauma is the main cause of death in paediatric population worldwide. Lithuania has the highest trauma-related mortality in the European Union (EU). Lithuanian standardised injury death rate is 150.9 per 100000 inhabitants while in comparison the mean standardised injury death rate in the EU is 41.4, and the lowest one is in the Netherlands (26.4 injury death rate per 100000 inhabitants). The aim of this study was to analyze the impact of pre-hospital and in-hospital emergent trauma care on severe pediatric trauma outcomes, performing a prospective observational clinical trial in the Vilnius University Children's Hospital and Vilnius Pre-hospital Emergency Service Center. Trauma registry fields were defined in details and validated during this study. The recommended quality indicators were defined and used for pre-hospital pediatric trauma care and in-hospital emergent management evaluation. The study results showed that the level of pre-hospital care is associated statistically significantly with trauma outcomes: higher pre-hospital care level caused better trauma outcome assessed according to the Glasgow Outcome Scale. The longer time until the first key emergency intervention in hospital was associated statistically significantly with the worse trauma outcomes. Calculation of the Probability of survival (Ps) according to Trauma Score Injury Severity Score model (TRISS) revealed unexpected death (Ps > 50 %) rate 74%. The reasons for fatal outcome in the patient group with the survival probability over 50% should be further investigated.

Trauma is the main cause of death in paediatric population worldwide. Lithuania has the highest trauma-related mortality in the European Union (EU). Lithuanian standardised injury death rate is 150.9 per 100000 inhabitants while in comparison the mean standardised injury death rate in the EU is 41.4, and the lowest one is in the Netherlands (26.4 injury death rate per 100000 inhabitants). The aim of this study was to analyze the impact of pre-hospital and in-hospital emergent trauma care on severe pediatric trauma outcomes, performing a prospective observational clinical trial in the Vilnius University Children's Hospital and Vilnius Pre-hospital Emergency Service Center. Trauma registry fields were defined in details and validated during this study. The recommended quality indicators were defined and used for pre-hospital pediatric trauma care and in-hospital emergent management evaluation. The study results showed that the level of pre-hospital care is associated statistically significantly with trauma outcomes: higher pre-hospital care level caused better trauma outcome assessed according to the Glasgow Outcome Scale. The longer time until the first key emergency intervention in hospital was associated statistically significantly with the worse trauma outcomes. Calculation of the Probability of survival (Ps) according to Trauma Score Injury Severity Score model (TRISS) revealed unexpected death (Ps > 50 %) rate 74%. The reasons for fatal outcome in the patient group with the survival probability over 50% should be further investigated.

Human life quality in an area can be determined through the Human Development Index (HDI). One of the fundamental components for the HDI composition is the Life Expectancy Rate (LER). Even though DKI Jakarta Province has a high HDI, research on the factors that influence LER is still fascinating to do. This study aims to compare the survival probability of the DKI Jakarta residents based on gender (male and female) and marital status (unmarried and married) variables. This study analyzed the lifespan data of 464 people who were calculated from birth to death in 2017. The data were analyzed using a lifetime analysis method with a parametric approach which refers to selecting the probability distributions that best fits the research data. The results showed there was no difference in survival probability between the male and female populations. Meanwhile, married residents have a greater survival probability than those who were unmarried. Thus, the Provincial Government of DKI Jakarta needs to increase the percentage of the married population to increase LER, leading to an increase in regional HDI, for example, through economic empowerment programs and optimization of the Planning Generation (GenRe) program.