981 resultados para intoxication hazard


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In clinical medicine, plane radiography is used for detecting the remains of medications in the stomach in oral medication intoxication cases. Since postmortem computed tomography (CT), performed prior to autopsy, is currently intensively entering the forensic routine, the technique was applied to three fatal cases of oral medication intoxication. Here we report CT and autopsy findings for these cases. In all three cases, hyperdense areas within the stomach content were documented. The measurement of Hounsfield Units (HU) beyond 74HU showed mean values of 338, 88 and 98HU. Postmortem CT also showed brain edema and pulmonary aspiration in one case. At autopsy, tablet remains in the stomach were detected microscopically in all three cases. The ex vivo CT scans of the ingested medicaments showed similar HU values. Despite the fact that further case studies are necessary beyond this one, and in spite of its limitations, postmortem CT was found to be a useful screening and documentation method for stomach contents in oral medication intoxication.

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Intoxications are frequent and relevant medical problems in emergency units.

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Many media reports suggest an increase in alcohol intoxication, particularly among young people. Indeed, several surveys on young people have confirmed this fact. These were based on self-declaration of alcohol consumption. However, there are few clinical data that show an increase in alcohol intoxication in hospitals. The aim of this study was to evaluate the number of alcohol intoxications in relation to the total number of patients and to look for a statistical trend.

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In this paper we propose methods for smooth hazard estimation of a time variable where that variable is interval censored. These methods allow one to model the transformed hazard in terms of either smooth (smoothing splines) or linear functions of time and other relevant time varying predictor variables. We illustrate the use of this method on a dataset of hemophiliacs where the outcome, time to seroconversion for HIV, is interval censored and left-truncated.

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AIM OF STUDY: To report the management of cardiovascular failure refractory to standard catecholamine therapy with terlipressin in a patient with tricyclic antidepressant (TCA) intoxication. CASE REPORT: A 41-year-old woman, with suicidal ingestion of 11.25 g amitriptyline and 1500 mg diclofenac, was admitted to the emergency department. After 30 min in ventricular fibrillation, with ongoing CPR, she regained a potentially perfusing rhythm, but with hypotension refractory to standard catecholamine therapy with adrenaline, 2 microg/kg/min (norepinephrine); adrenaline, 1 microg/kg/min (epinephrine) until 55 min after admission. An injection of 1 mg terlipressin restored mean arterial blood pressure >65 mmHg within 10 min. Ten hours after admission to the intensive care unit, catecholamine support could be withdrawn because of a stable haemodynamic state. Within 7 days, all organ function recovered, and the patient regained full neurological function. CONCLUSIONS: Successful management of cardiovascular failure with terlipressin after TCA intoxication refractory to catecholamines suggests a potential role for terlipressin as an adjunct vasopressor in severely hypotensive patients.

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The municipality of San Juan La Laguna, Guatemala is home to approximately 5,200 people and located on the western side of the Lake Atitlán caldera. Steep slopes surround all but the eastern side of San Juan. The Lake Atitlán watershed is susceptible to many natural hazards, but most predictable are the landslides that can occur annually with each rainy season, especially during high-intensity events. Hurricane Stan hit Guatemala in October 2005; the resulting flooding and landslides devastated the Atitlán region. Locations of landslide and non-landslide points were obtained from field observations and orthophotos taken following Hurricane Stan. This study used data from multiple attributes, at every landslide and non-landslide point, and applied different multivariate analyses to optimize a model for landslides prediction during high-intensity precipitation events like Hurricane Stan. The attributes considered in this study are: geology, geomorphology, distance to faults and streams, land use, slope, aspect, curvature, plan curvature, profile curvature and topographic wetness index. The attributes were pre-evaluated for their ability to predict landslides using four different attribute evaluators, all available in the open source data mining software Weka: filtered subset, information gain, gain ratio and chi-squared. Three multivariate algorithms (decision tree J48, logistic regression and BayesNet) were optimized for landslide prediction using different attributes. The following statistical parameters were used to evaluate model accuracy: precision, recall, F measure and area under the receiver operating characteristic (ROC) curve. The algorithm BayesNet yielded the most accurate model and was used to build a probability map of landslide initiation points. The probability map developed in this study was also compared to the results of a bivariate landslide susceptibility analysis conducted for the watershed, encompassing Lake Atitlán and San Juan. Landslides from Tropical Storm Agatha 2010 were used to independently validate this study’s multivariate model and the bivariate model. The ultimate aim of this study is to share the methodology and results with municipal contacts from the author's time as a U.S. Peace Corps volunteer, to facilitate more effective future landslide hazard planning and mitigation.