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The survival of Portuguese credit co-operatives: an econometric approach

Cabo, Paula; Rebelo, João
Fonte: Instituto Politécnico de Bragança Publicador: Instituto Politécnico de Bragança
Tipo: Conferência ou Objeto de Conferência
ENG
Relevância na Pesquisa
86.05%
The banking system robustness is an actual concern and a priority for EU and national authorities. Although Portuguese Agricultural Credit Co-operatives (CCAM) performance, as a group, compares favourably with that of other credit institutions, individual CCAM occasionally do enter in distress. The increasingly large size of the CCAM raises concerns regarding the resolution of potential distress situations given some of the cooperative governance rules. The main purpose of this paper is to evaluate CCAM risk of insolvency. To accomplish this objective, the authors analyze the CCAM failures in the period between 1995 and 2009, adopting a Cox proportional hazards model. The model shows that Transformation ratio and Other Structural Costs ratio were important indicators to evaluate the relative risk of insolvency for CCAM.

Predetermining value analysis of the prehospital phase procedures in trauma victims survival; Análisis del valor predeterminante de los procedimientos de la fase prehospitalaria en la sobrevivencia de las víctimas de trauma; Análise do valor predeterminante dos procedimentos da fase pré-hospitalar na sobrevivência das vítimas de trauma

MALVESTIO, Marisa Aparecida Amaro; SOUSA, Regina Marcia Cardoso de
Fonte: Escola de Enfermagem de Ribeirão Preto / Universidade de São Paulo Publicador: Escola de Enfermagem de Ribeirão Preto / Universidade de São Paulo
Tipo: Artigo de Revista Científica
ENG
Relevância na Pesquisa
76.13%
The aim of this study was to analyze the determining value of the procedures carried out during prehospital care in the survival time of traffic accident victims. Data of 175 victims with Revised Trauma Score £ 11, cared for and transported by advanced life support to tertiary referral hospitals, were submitted to Kaplan-Meier Survival Analysis and to Cox proportional hazards model. Four procedure groups associated with survival were identified: basic circulatory; advanced respiratory; volume replaced and medication. Until hospital discharge, the victims who underwent orotracheal intubation and chest compressions showed 3.6 and 6.4 times higher death hazards, respectively. The need for definitive airway and cardiopulmonary resuscitation in the prehospital phase was predetermining with higher death hazard. The less than 1000ml intravenous fluid replacement was the only predetermining factor with protective power against death hazard.; La propuesta de este estudio fue analizar el valor determinante de los procedimientos realizados durante la atención prehospitalaria en el tiempo de sobrevivencia de víctimas de accidentes de tránsito. Datos de 175 víctimas con Revised Trauma Score < 11, atendidas y transportadas por el soporte avanzado a la vida a hospitales terciarios...

Predeterminantes de sobrevivência em vítimas de acidentes de trânsito submetidas a atendimento pré-hospitalar de suporte avançado à vida; Survival determinant factors in motor vehicle crash victms submitted to prehospital advanced life support

Malvestio, Marisa Aparecida Amaro
Fonte: Biblioteca Digitais de Teses e Dissertações da USP Publicador: Biblioteca Digitais de Teses e Dissertações da USP
Tipo: Tese de Doutorado Formato: application/pdf
Publicado em 15/12/2005 PT
Relevância na Pesquisa
66.13%
O Atendimento Pré Hospitalar (APH) é um importante recurso no atendimento à vítimas de trauma. No entanto, há muitas dificuldades para demonstrar o efeito benéfico das intervenções do APH na sobrevivência das vítimas, sobretudo as de suporte avançado à vida (SAV). A proposta deste estudo é caracterizar as vítimas de acidentes trânsito, com Revised Trauma Score (RTS) <11, atendidas pelo SAV municipal e encaminhadas a hospitais terciários em São Paulo, além de identificar as variáveis da fase pré-hospitalar associadas à sobrevivência e avaliar o valor predeterminante dessas variáveis sobre o resultado obtido pelas vítimas. As variáveis avaliadas foram: sexo, idade, mecanismos do acidente, procedimentos de suporte básico e SAV realizados, repercussão fisiológica do trauma na cena do acidente, (considerando o RTS , seus parâmetros e flutuações), o tempo consumido no APH, gravidade do trauma segundo o Injury Severity Score (ISS),a Maximum Abbreviated Injury Scale (MAIS) e número de lesões para cada segmento corporal. Os resultados obtidos por 175 vítimas entre 12 e 65 anos, foram submetidos a ”Análise de Sobrevivência de Kaplan Meier” e ao “Modelo de Riscos Proporcionais de Cox”. A variável dependente foi o tempo de sobrevivência após o acidente...

Comparação entre alguns métodos estatísticos em análise de sobrevivência: aplicação em uma coorte de pacientes com câncer de pênis; Comparison of some statistical methods in survival analysis: application in a cohort of patients with penile cancer

Latorre, Maria do Rosario Dias de Oliveira
Fonte: Biblioteca Digitais de Teses e Dissertações da USP Publicador: Biblioteca Digitais de Teses e Dissertações da USP
Tipo: Tese de Doutorado Formato: application/pdf
Publicado em 05/06/1996 PT
Relevância na Pesquisa
86.37%
O objetivo deste trabalho foi comparar o desempenho do modelo de riscos proporcionais de Cox convencional, modelo de Cox modificado quando os riscos não são proporcionais e o modelo de análise de sobrevida baseado na teoria de processos de contagem. Para tanto utilizou-se uma coorte de 648 pacientes portadores de câncer de pênis, atendidos no Departamento de Cirurgia Pélvica do Hospital A. C. Camargo, no período de 1953 a 1985. Dessa coorte foram selecionadas três amostras com o objetivo de validar internamente os resultados da análise de sobrevida do banco de dados original. Os resultados do modelo de riscos proporcionais de Cox, no banco de dados original, foram confirmados por uma das amostras desse conjunto de dados. Apenas o estadiamento N foi confirmado como fator prognóstico também nas outras duas amostras. O modelo de riscos proporcionais de Cox e o modelo de análise de sobrevida baseado na teoria de processos de contagem apresentaram resultados semelhantes, na definição dos fatores prognósticos dessa coorte de pacientes com câncer de pênis. O modelo utilizando processos de contagem é mais sofisticado, do ponto de vista matemático. Porém o modelo de Cox está disponível em grande número de pacotes estatísticos e a interpretação de seus coeficientes se faz com maior facilidade. Por isso...

Choosing between Cox proportional hazards and logistic models for interval-censored data via bootstrap

Corrente, J. E.; Chalita, LVAS; Moreira, J. A.
Fonte: Carfax Publishing Publicador: Carfax Publishing
Tipo: Artigo de Revista Científica Formato: 37-47
ENG
Relevância na Pesquisa
76.21%
This work develops a new methodology in order to discriminate models for interval-censored data based on bootstrap residual simulation by observing the deviance difference from one model in relation to another, according to Hinde (1992). Generally, this sort of data can generate a large number of tied observations and, in this case, survival time can be regarded as discrete. Therefore, the Cox proportional hazards model for grouped data (Prentice & Gloeckler, 1978) and the logistic model (Lawless, 1982) can befitted by means of generalized linear models. Whitehead (1989) considered censoring to be an indicative variable with a binomial distribution and fitted the Cox proportional hazards model using complementary log-log as a link function. In addition, a logistic model can be fitted using logit as a link function. The proposed methodology arises as an alternative to the score tests developed by Colosimo et al. (2000), where such models can be obtained for discrete binary data as particular cases from the Aranda-Ordaz distribution asymmetric family. These tests are thus developed with a basis on link functions to generate such a fit. The example that motivates this study was the dataset from an experiment carried out on a flax cultivar planted on four substrata susceptible to the pathogen Fusarium oxysoprum. The response variable...

Predetermining value analysis of the prehospital phase procedures in trauma victims survival

Malvestio,Marisa Aparecida Amaro; Sousa,Regina Marcia Cardoso de
Fonte: Escola de Enfermagem de Ribeirão Preto / Universidade de São Paulo Publicador: Escola de Enfermagem de Ribeirão Preto / Universidade de São Paulo
Tipo: Artigo de Revista Científica Formato: text/html
Publicado em 01/06/2008 EN
Relevância na Pesquisa
76%
The aim of this study was to analyze the determining value of the procedures carried out during prehospital care in the survival time of traffic accident victims. Data of 175 victims with Revised Trauma Score £ 11, cared for and transported by advanced life support to tertiary referral hospitals, were submitted to Kaplan-Meier Survival Analysis and to Cox proportional hazards model. Four procedure groups associated with survival were identified: basic circulatory; advanced respiratory; volume replaced and medication. Until hospital discharge, the victims who underwent orotracheal intubation and chest compressions showed 3.6 and 6.4 times higher death hazards, respectively. The need for definitive airway and cardiopulmonary resuscitation in the prehospital phase was predetermining with higher death hazard. The less than 1000ml intravenous fluid replacement was the only predetermining factor with protective power against death hazard.

Is depression a risk factor for mortality in chronic hemodialysis patients?

Diefenthaeler,Edgar C; Wagner,Mário Bernardes; Poli-de-Figueiredo,Carlos Eduardo; Zimmermann,Paulo R; Saitovitch,David
Fonte: Associação Brasileira de Psiquiatria - ABP Publicador: Associação Brasileira de Psiquiatria - ABP
Tipo: Artigo de Revista Científica Formato: text/html
Publicado em 01/06/2008 EN
Relevância na Pesquisa
76.2%
OBJECTIVE: The present study was conducted to assess the association between depressive symptomatology and mortality in chronic hemodialysis. METHOD: A cohort of 40 patients was followed for a median period of 10.5 months. The Beck Depression Inventory was used to classify patients as exposed to depression (Beck Depression Inventory score > 14) or not (Beck Depression Inventory < 14). Kaplan-Meier survival curves were used to compare the mortality rate between the two groups. The effects of potential confounding factors were adjusted using Cox proportional hazards model. RESULTS: After 24 months of follow-up, survival rates were 39% for exposed and 95% for non-exposed patients (p = 0.029). The Cox proportional hazards model showed results similar to those of the bivariate analysis, indicating that depressive symptomatology tended to be associated with mortality (HR = 6.5, 95%CI: 0.8-55.6; p = 0.085). Other study variables, including age, concurrent systemic diseases, and biochemical markers, were not significantly associated with mortality. Exposed patients remained on dialysis longer and received kidney transplants less frequently (9% vs. 50% for non-exposed patients). When kidney transplantation was included in the Cox regression model...

Testing for Covariate Effect in the Cox Proportional Hazards Regression Model

Devarajan, Karthik; Ebrahimi, Nader
Fonte: PubMed Publicador: PubMed
Tipo: Artigo de Revista Científica
Publicado em 01/01/2009 EN
Relevância na Pesquisa
76.18%
This paper presents methods for testing covariate effect in the Cox proportional hazards Model based on Kullback-Leibler divergence and Renyi’s information measure. Renyi’s measure is referred to as the information divergence of order γ (γ ≠ 1) between two distributions. In the limiting case γ → 1, Renyi’s measure becomes Kullback-Leibler divergence. In our case, the distributions correspond to the baseline and one possibly due to a covariate effect. Our proposed statistics are simple transformations of the parameter vector in the Cox proportional hazards model, and are compared with the Wald, likelihood ratio and Score tests that are widely used in practice. Finally, the methods are illustrated using two real-life data sets.

A model checking method for the proportional hazards model with recurrent gap time data

Huang, Chiung-Yu; Luo, Xianghua; Follmann, Dean A.
Fonte: Oxford University Press Publicador: Oxford University Press
Tipo: Artigo de Revista Científica
EN
Relevância na Pesquisa
76.13%
Recurrent events are the natural outcome in many medical and epidemiology studies. To assess covariate effects on the gaps between consecutive recurrent events, the Cox proportional hazards model is frequently employed in data analysis. The validity of statistical inference, however, depends on the appropriateness of the Cox model. In this paper, we propose a class of graphical techniques and formal tests for checking the Cox model with recurrent gap time data. The building block of our model checking method is an averaged martingale-like process, based on which a class of multiparameter stochastic processes is proposed. This maneuver is very general and can be used to assess different aspects of model fit. Numerical simulations are conducted to examine finite-sample performance, and the proposed model checking techniques are illustrated with data from the Danish Psychiatric Central Register.

Generating survival times to simulate Cox proportional hazards models with time-varying covariates

Austin, Peter C
Fonte: Blackwell Publishing Ltd Publicador: Blackwell Publishing Ltd
Tipo: Artigo de Revista Científica
EN
Relevância na Pesquisa
76.04%
Simulations and Monte Carlo methods serve an important role in modern statistical research. They allow for an examination of the performance of statistical procedures in settings in which analytic and mathematical derivations may not be feasible. A key element in any statistical simulation is the existence of an appropriate data-generating process: one must be able to simulate data from a specified statistical model. We describe data-generating processes for the Cox proportional hazards model with time-varying covariates when event times follow an exponential, Weibull, or Gompertz distribution. We consider three types of time-varying covariates: first, a dichotomous time-varying covariate that can change at most once from untreated to treated (e.g., organ transplant); second, a continuous time-varying covariate such as cumulative exposure at a constant dose to radiation or to a pharmaceutical agent used for a chronic condition; third, a dichotomous time-varying covariate with a subject being able to move repeatedly between treatment states (e.g., current compliance or use of a medication). In each setting, we derive closed-form expressions that allow one to simulate survival times so that survival times are related to a vector of fixed or time-invariant covariates and to a single time-varying covariate. We illustrate the utility of our closed-form expressions for simulating event times by using Monte Carlo simulations to estimate the statistical power to detect as statistically significant the effect of different types of binary time-varying covariates. This is compared with the statistical power to detect as statistically significant a binary time-invariant covariate. Copyright © 2012 John Wiley & Sons...

On Model Specification and Selection of the Cox Proportional Hazards Model*

Lin, Chen-Yen; Halabi, Susan
Fonte: PubMed Publicador: PubMed
Tipo: Artigo de Revista Científica
EN
Relevância na Pesquisa
86.08%
Prognosis plays a pivotal role in patient management and trial design. A useful prognostic model should correctly identify important risk factors and estimate their effects. In this article, we discuss several challenges in selecting prognostic factors and estimating their effects using the Cox proportional hazards model. Although a flexible semiparametric form, the Cox’s model is not entirely exempt from model misspecification. To minimize possible misspecification, instead of imposing traditional linear assumption, flexible modeling techniques have been proposed to accommodate the nonlinear effect. We first review several existing nonparametric estimation and selection procedures and then present a numerical study to compare the performance between parametric and nonparametric procedures. We demonstrate the impact of model misspecification on variable selection and model prediction using a simulation study and a example from a phase III trial in prostate cancer.

Application of Cox Proportional Hazards Model in Case of Tuberculosis Patients in Selected Addis Ababa Health Centres, Ethiopia

Tolosie, Kabtamu; Sharma, M. K.
Fonte: Hindawi Publishing Corporation Publicador: Hindawi Publishing Corporation
Tipo: Artigo de Revista Científica
EN
Relevância na Pesquisa
86.13%
Introduction. Tuberculosis (TB) is a chronic infectious disease and mainly caused by mycobacterium tuberculosis (MTB). It has been one of the major causes of mortality in Ethiopia. The objective of the study was to identify factors that affect the survival of the patients with tuberculosis who started treatment for tuberculosis. Methods. This was a retrospective study in six randomly selected health centres in Addis Ababa, Ethiopia. The data were obtained from medical records of TB patients registered from September 2012 to August 2013 and treated under directly observed treatment surgery (DOTS) strategy. Kaplan Meier plots, logrank tests, and Wilcoxon tests were used to assess the survival pattern. Cox proportional hazards model for multivariable analysis was discussed. Results. Out of the total 826 registered TB patients, 105 (12.71%) died during the study period and 712 (87.29%) were censored. Based on Kaplan Meier survival curves, logrank test, and Wilcoxon test, it was found that the patients had statistically significant differences in survival experience with respect to age, body weight at initiation of treatment, TB patient category, and HIV status. Multivariable Cox hazards regression analysis revealed that the covariates age...

A Bayesian Approach for the Cox Proportional Hazards Model with Covariates Subject to Detection Limit

Chen, Qingxia; Wu, Huiyun; Ware, Lorraine B.; Koyama, Tatsuki
Fonte: PubMed Publicador: PubMed
Tipo: Artigo de Revista Científica
Publicado em 31/01/2014 EN
Relevância na Pesquisa
86.04%
The research on biomarkers has been limited in its effectiveness because biomarker levels can only be measured within the thresholds of assays and laboratory instruments, a challenge referred to as a detection limit (DL) problem. In this paper, we propose a Bayesian approach to the Cox proportional hazards model with explanatory variables subject to lower, upper, or interval DLs. We demonstrate that by formulating the time-to-event outcome using the Poisson density with counting process notation, implementing the proposed approach in the OpenBUGS and JAGS is straightforward. We have conducted extensive simulations to compare the proposed Bayesian approach to the other four commonly used methods and to evaluate its robustness with respect to the distribution assumption of the biomarkers. The proposed Bayesian approach and other methods were applied to an acute lung injury study, in which a panel of cytokine biomarkers was studied for the biomarkers’ association with ventilation-free survival.

Bayesian Random Threshold Estimation in a Cox Proportional Hazards Cure Model

Zhao, Lili; Feng, Dai; Bellile, Emily L.; Taylor, Jeremy M.G.
Fonte: PubMed Publicador: PubMed
Tipo: Artigo de Revista Científica
EN
Relevância na Pesquisa
76.18%
In this paper, we develop a Bayesian approach to estimate a Cox proportional hazards model that allows a threshold in the regression coefficient based on a threshold in a covariate, when some fraction of subjects are not susceptible to the event of interest. A data augmentation scheme with latent binary cure indicators is adopted to simplify the Markov chain Monte Carlo implementation. Given the binary cure indicators, the Cox cure model reduces to a standard Cox model and a logistic regression model. Furthermore, the threshold detection problem reverts to a threshold problem in a regular Cox model. The baseline cumulative hazard for the Cox model is formulated non-parametrically using counting processes with a gamma process prior. Simulation studies demonstrate that the method provides accurate point and interval estimates. Application to a data set of Oropharynx cancer patients suggests a significant threshold in age at diagnosis such that the effect of gender on disease-specific survival changes after the threshold.

Relaxing the independent censoring assumption in the Cox proportional hazards model using multiple imputation

Jackson, Dan; White, Ian R; Seaman, Shaun; Evans, Hannah; Baisley, Kathy; Carpenter, James
Fonte: BlackWell Publishing Ltd Publicador: BlackWell Publishing Ltd
Tipo: Artigo de Revista Científica
EN
Relevância na Pesquisa
86.11%
The Cox proportional hazards model is frequently used in medical statistics. The standard methods for fitting this model rely on the assumption of independent censoring. Although this is sometimes plausible, we often wish to explore how robust our inferences are as this untestable assumption is relaxed. We describe how this can be carried out in a way that makes the assumptions accessible to all those involved in a research project. Estimation proceeds via multiple imputation, where censored failure times are imputed under user-specified departures from independent censoring. A novel aspect of our method is the use of bootstrapping to generate proper imputations from the Cox model. We illustrate our approach using data from an HIV-prevention trial and discuss how it can be readily adapted and applied in other settings. © 2014 The Authors. Statistics in Medicine published by John Wiley & Sons, Ltd.

The analysis of limit orders using the Cox proportional hazards model with independent competing risks

Kenney, Colleen
Fonte: Universidade Rice Publicador: Universidade Rice
ENG
Relevância na Pesquisa
86.04%
I apply the Cox proportional hazards model with independent competing risks to study the hazard rates of executed, cancelled, and partially executed limit orders submitted for Microsoft to the Island ECN for one day. The instantaneous probability of execution increases with decreases in the buy order price but increases to the sell order price, increases in volume on the sell side of the market and market activity. The probability of cancellation increases with increases in the liquidity demand and market activity for buy orders, volume on the same side of the market and absolute market activity for sell orders. Finally, the partially executed hazard rate for buy orders increases with increases in price, volume on the opposite side of the market, size, and absolute market activity; for sell orders, the hazard rate increases with increases in the volume on the same side of the market, liquidity demanded, and market activity.

Optimal and Robust Designs of Step-stress Accelerated Life Testing Experiments for Proportional Hazards Models

Huang, Wan-yi
Fonte: Brock University Publicador: Brock University
Tipo: Electronic Thesis or Dissertation
ENG
Relevância na Pesquisa
76.08%
Accelerated life testing (ALT) is widely used to obtain reliability information about a product within a limited time frame. The Cox s proportional hazards (PH) model is often utilized for reliability prediction. My master thesis research focuses on designing accelerated life testing experiments for reliability estimation. We consider multiple step-stress ALT plans with censoring. The optimal stress levels and times of changing the stress levels are investigated. We discuss the optimal designs under three optimality criteria. They are D-, A- and Q-optimal designs. We note that the classical designs are optimal only if the model assumed is correct. Due to the nature of prediction made from ALT experimental data, attained under the stress levels higher than the normal condition, extrapolation is encountered. In such case, the assumed model cannot be tested. Therefore, for possible imprecision in the assumed PH model, the method of construction for robust designs is also explored.

Survival analysis as a tool to model Little Bustard mortality rates in the Iberian Peninsula

Marcelino, Joana Lopes
Fonte: Universidade de Lisboa Publicador: Universidade de Lisboa
Tipo: Dissertação de Mestrado
Publicado em //2014 ENG
Relevância na Pesquisa
86.31%
Tese de mestrado, Bioinformática e Biologia Computacional (Biologia computacional), Universidade de Lisboa, Faculdade de Ciências, 2014; O modelo de Cox proportional hazards é um modelo de sobrevivência semi-paramétrico utilizado em análise de regressão para dados censurados. O modelo original tem sofrido alterações, com a inclusão de novas extensões que permitem maior flexibilidade e a análise de um conjunto mais alargado de dados. Entre as recentes extensões, incluem-se: a análise de variáveis dependentes do tempo, múltiplas observações de eventos, tied events e estratificação de variáveis dependentes do tempo. A sobrevivência é um fator determinante na ecologia de populações e na biologia da conservação. Este tipo de estudos só é possível com recurso a técnicas de telemetria, que tornam possível a aquisição de informação contínua. Existem vários problemas associados a este tipo de análise quando aplicada a animais em estado selvagem, muitas vezes ignorados pelos investigadores. Os mais típicos consistem na influência que o equipamento de seguimento tem no animal e no stress induzido pela marcação. Estes e outros problemas tornam a análise de sobrevivência de animais selvagens um desafio. O sisão (Tetrax tetrax) é uma ave ameaçada na Península Ibérica classificada como Vulnerável (Cabral et al....

A Flexible Alternative to the Cox Proportional Hazards Model for Assessing the Prognostic Accuracy of Hospice Patient Survival

Miladinovic, Branko; Kumar, Ambuj; Mhaskar, Rahul; Kim, Sehwan; Schonwetter, Ronald; Djulbegovic, Benjamin
Fonte: Public Library of Science Publicador: Public Library of Science
Tipo: Artigo de Revista Científica
Publicado em 17/10/2012 EN
Relevância na Pesquisa
86.31%
Prognostic models are often used to estimate the length of patient survival. The Cox proportional hazards model has traditionally been applied to assess the accuracy of prognostic models. However, it may be suboptimal due to the inflexibility to model the baseline survival function and when the proportional hazards assumption is violated. The aim of this study was to use internal validation to compare the predictive power of a flexible Royston-Parmar family of survival functions with the Cox proportional hazards model. We applied the Palliative Performance Scale on a dataset of 590 hospice patients at the time of hospice admission. The retrospective data were obtained from the Lifepath Hospice and Palliative Care center in Hillsborough County, Florida, USA. The criteria used to evaluate and compare the models' predictive performance were the explained variation statistic R2, scaled Brier score, and the discrimination slope. The explained variation statistic demonstrated that overall the Royston-Parmar family of survival functions provided a better fit (R2 = 0.298; 95% CI: 0.236–0.358) than the Cox model (R2 = 0.156; 95% CI: 0.111–0.203). The scaled Brier scores and discrimination slopes were consistently higher under the Royston-Parmar model. Researchers involved in prognosticating patient survival are encouraged to consider the Royston-Parmar model as an alternative to Cox.

Análise do valor predeterminante dos procedimentos da fase pré-hospitalar na sobrevivência das vítimas de trauma; Análisis del valor predeterminante de los procedimientos de la fase prehospitalaria en la sobrevivencia de las víctimas de trauma; Predetermining value analysis of the prehospital phase procedures in trauma victims survival

Malvestio, Marisa Aparecida Amaro; Sousa, Regina Marcia Cardoso de
Fonte: Universidade de São Paulo. Escola de Enfermagem de Ribeirão Preto Publicador: Universidade de São Paulo. Escola de Enfermagem de Ribeirão Preto
Tipo: info:eu-repo/semantics/article; info:eu-repo/semantics/publishedVersion; Formato: application/pdf; application/pdf; application/pdf
Publicado em 01/06/2008 ENG; POR; SPA
Relevância na Pesquisa
76.13%
A proposta deste estudo foi analisar o valor predeterminante dos procedimentos realizados, durante o atendimento pré-hospitalar no tempo de sobrevivência de vítimas de acidentes de trânsito. Dados de 175 vítimas com Revised Trauma Score < 11, atendidas e transportadas pelo suporte avançado à vida a hospitais terciários, foram submetidas à Análise de Sobrevivência de Kaplan Méier e à Análise de Riscos Proporcionais de Cox. Identificou-se 4 grupos de procedimentos associados à sobrevivência: circulatórios básicos; respiratórios avançados; volume reposto e medicamentos. Até a alta hospitalar, as vítimas, submetidas à entubação orotraqueal e compressões torácicas, apresentaram 3,6 e 6,4 vezes maior risco para o óbito, respectivamente. A necessidade de realização de via aérea definitiva e de reanimação cardiorrespiratória na fase pré-hospitalar foi predeterminante de maior risco para o óbito. A reposição de volume inferior a 1000ml foi o único fator predeterminante com força protetora para o risco de óbito.; La propuesta de este estudio fue analizar el valor determinante de los procedimientos realizados durante la atención prehospitalaria en el tiempo de sobrevivencia de víctimas de accidentes de tránsito. Datos de 175 víctimas con Revised Trauma Score < 11...