997 resultados para Injury Prediction.
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Switzerland, the country with the highest health expenditure per capita, is lacking data on trauma care and system planning. Recently, 12 trauma centres were designated to be reassessed through a future national trauma registry by 2015. Lausanne University Hospital launched the first Swiss trauma registry in 2008, which contains the largest database on trauma activity nationwide. METHODS: Prospective analysis of data from consecutively admitted shock room patients from 1 January 2008 to 31 December 2012. Shock room admission is based on physiology and mechanism of injury, assessed by prehospital physicians. Management follows a surgeon-led multidisciplinary approach. Injuries are coded by Association for the Advancement of Automotive Medicine (AAAM) certified coders. RESULTS: Over the 5 years, 1,599 trauma patients were admitted, predominantly males with a median age of 41.4 years and median injury severity score (ISS) of 13. Rate of ISS >15 was 42%. Principal mechanisms of injury were road traffic (40.4%) and falls (34.4%), with 91.5% blunt trauma. Principal patterns were brain (64.4%), chest (59.8%) and extremity/pelvic girdle (52.9%) injuries. Severe (abbreviated injury scale [AIS] score ≥ 3) orthopaedic injuries, defined as extremity and spine injuries together, accounted for 67.1%. Overall, 29.1% underwent immediate intervention, mainly by orthopaedics (27.3%), neurosurgeons (26.3 %) and visceral surgeons (13.9%); 43.8% underwent a surgical intervention within the first 24 hours and 59.1% during their hospitalisation. In-hospital mortality for patients with ISS >15 was 26.2%. CONCLUSION: This is the first 5-year report on trauma in Switzerland. Trauma workload was similar to other European countries. Despite high levels of healthcare, mortality exceeds published rates by >50%. Regardless of the importance of a multidisciplinary approach, trauma remains a surgical disease and needs dedicated surgical resources.
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Rationale: Clinical and electrophysiological prognostic markers of brain anoxia have been mostly evaluated in comatose survivors of out hospital cardiac arrest (OHCA) after standard resuscitation, but their predictive value in patients treated with mild induced hypothermia (IH) is unknown. The objective of this study was to identify a predictive score of independent clinical and electrophysiological variables in comatose OHCA survivors treated with IH, aiming at a maximal positive predictive value (PPV) and a high negative predictive value (NPV) for mortality. Methods: We prospectively studied consecutive adult comatose OHCA survivors from April 2006 to May 2009, treated with mild IH to 33-34_C for 24h at the intensive care unit of the Lausanne University Hospital, Switzerland. IH was applied using an external cooling method. As soon as subjects passively rewarmed (body temperature >35_C) they underwent EEG and SSEP recordings (off sedation), and were examined by experienced neurologists at least twice. Patients with status epilepticus were treated with AED for at least 24h. A multivariable logistic regression was performed to identify independent predictors of mortality at hospital discharge. These were used to formulate a predictive score. Results: 100 patients were studied; 61 died. Age, gender and OHCA etiology (cardiac vs. non-cardiac) did not differ among survivors and nonsurvivors. Cardiac arrest type (non-ventricular fibrillation vs. ventricular fibrillation), time to return of spontaneous circulation (ROSC) >25min, failure to recover all brainstem reflexes, extensor or no motor response to pain, myoclonus, presence of epileptiform discharges on EEG, EEG background unreactive to pain, and bilaterally absent N20 on SSEP, were all significantly associated with mortality. Absent N20 was the only variable showing no false positive results. Multivariable logistic regression identified four independent predictors (Table). These were used to construct the score, and its predictive values were calculated after a cut-off of 0-1 vs. 2-4 predictors. We found a PPV of 1.00 (95% CI: 0.93-1.00), a NPV of 0.81 (95% CI: 0.67-0.91) and an accuracy of 0.93 for mortality. Among 9 patients who were predicted to survive by the score but eventually died, only 1 had absent N20. Conclusions: Pending validation in a larger cohort, this simple score represents a promising tool to identify patients who will survive, and most subjects who will not, after OHCA and IH. Furthermore, while SSEP are 100% predictive of poor outcome but not available in most hospitals, this study identifies EEG background reactivity as an important predictor after OHCA. The score appears robust even without SSEP, suggesting that SSEP and other investigations (e.g., mismatch negativity, serum NSE) might be principally needed to enhance prognostication in the small subgroup of patients failing to improve despite a favorable score.
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ABSTRACT Intrinsic equilibrium constants for 22 representative Brazilian Oxisols were estimated from a cadmium adsorption experiment. Equilibrium constants were fitted to two surface complexation models: diffuse layer and constant capacitance. Intrinsic equilibrium constants were optimized by FITEQL and by hand calculation using Visual MINTEQ in sweep mode, and Excel spreadsheets. Data from both models were incorporated into Visual MINTEQ. Constants estimated by FITEQL and incorporated in Visual MINTEQ software failed to predict observed data accurately. However, FITEQL raw output data rendered good results when predicted values were directly compared with observed values, instead of incorporating the estimated constants into Visual MINTEQ. Intrinsic equilibrium constants optimized by hand calculation and incorporated in Visual MINTEQ reliably predicted Cd adsorption reactions on soil surfaces under changing environmental conditions.
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BACKGROUND: We reviewed the current evidence on the benefit and harm of pre-hospital tracheal intubation and mechanical ventilation after traumatic brain injury (TBI). METHODS: We conducted a systematic literature search up to December 2007 without language restriction to identify interventional and observational studies comparing pre-hospital intubation with other airway management (e.g. bag-valve-mask or oxygen administration) in patients with TBI. Information on study design, population, interventions, and outcomes was abstracted by two investigators and cross-checked by two others. Seventeen studies were included with data for 15,335 patients collected from 1985 to 2004. There were 12 retrospective analyses of trauma registries or hospital databases, three cohort studies, one case-control study, and one controlled trial. Using Brain Trauma Foundation classification of evidence, there were 14 class 3 studies, three class 2 studies, and no class 1 study. Six studies were of adults, five of children, and three of both; age groups were unclear in three studies. Maximum follow-up was up to 6 months or hospital discharge. RESULTS: In 13 studies, the unadjusted odds ratios (ORs) for an effect of pre-hospital intubation on in-hospital mortality ranged from 0.17 (favouring control interventions) to 2.43 (favouring pre-hospital intubation); adjusted ORs ranged from 0.24 to 1.42. Estimates for functional outcomes after TBI were equivocal. Three studies indicated higher risk of pneumonia associated with pre-hospital (when compared with in-hospital) intubation. CONCLUSIONS: Overall, the available evidence did not support any benefit from pre-hospital intubation and mechanical ventilation after TBI. Additional arguments need to be taken into account, including medical and procedural aspects.
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SUMMARY: A top scoring pair (TSP) classifier consists of a pair of variables whose relative ordering can be used for accurately predicting the class label of a sample. This classification rule has the advantage of being easily interpretable and more robust against technical variations in data, as those due to different microarray platforms. Here we describe a parallel implementation of this classifier which significantly reduces the training time, and a number of extensions, including a multi-class approach, which has the potential of improving the classification performance. AVAILABILITY AND IMPLEMENTATION: Full C++ source code and R package Rgtsp are freely available from http://lausanne.isb-sib.ch/~vpopovic/research/. The implementation relies on existing OpenMP libraries.
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BACKGROUND: The obective of this study was to perform a cost-effectiveness analysis comparing intermittent with continuous renal replacement therapy (IRRT versus CRRT) as initial therapy for acute kidney injury (AKI) in the intensive care unit (ICU). METHODS: Assuming some patients would potentially be eligible for either modality, we modeled life year gained, the quality-adjusted life years (QALYs) and healthcare costs for a cohort of 1000 IRRT patients and a cohort of 1000 CRRT patients. We used a 1-year, 5-year and a lifetime horizon. A Markov model with two health states for AKI survivors was designed: dialysis dependence and dialysis independence. We applied Weibull regression from published estimates to fit survival curves for CRRT and IRRT patients and to fit the proportion of dialysis dependence among CRRT and IRRT survivors. We then applied a risk ratio reported in a large retrospective cohort study to the fitted CRRT estimates in order to determine the proportion of dialysis dependence for IRRT survivors. We conducted sensitivity analyses based on a range of differences for daily implementation cost between CRRT and IRRT (base case: CRRT day $632 more expensive than IRRT day; range from $200 to $1000) and a range of risk ratios for dialysis dependence for CRRT as compared with IRRT (from 0.65 to 0.95; base case: 0.80). RESULTS: Continuous renal replacement therapy was associated with a marginally greater gain in QALY as compared with IRRT (1.093 versus 1.078). Despite higher upfront costs for CRRT in the ICU ($4046 for CRRT versus $1423 for IRRT in average), the 5-year total cost including the cost of dialysis dependence was lower for CRRT ($37 780 for CRRT versus $39 448 for IRRT on average). The base case incremental cost-effectiveness analysis showed that CRRT dominated IRRT. This dominance was confirmed by extensive sensitivity analysis. CONCLUSIONS: Initial CRRT is cost-effective compared with initial IRRT by reducing the rate of long-term dialysis dependence among critically ill AKI survivors.
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Even 30 years after its first publication the Glasgow Coma Scale (GCS) is still used worldwide to describe and assess coma. The GCS consists of three components, the ocular, motor and verbal response to standardized stimulation, and is used as a severity of illness indicator for coma of various origins. The GCS facilitates information transfer and monitoring changes in coma. In addition, it is used as a triage tool in patients with traumatic brain injury. Its prognostic value regarding the outcome after a traumatic brain injury still lacks evidence. One of the main problems is the evaluation of the GCS in sedated, paralysed and/or intubated patients. A multitude of pseudoscores exists but a universal definition has yet to be defined.
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Evaluating other individuals with respect to personality characteristics plays a crucial role in human relations and it is the focus of attention for research in diverse fields such as psychology and interactive computer systems. In psychology, face perception has been recognized as a key component of this evaluation system. Multiple studies suggest that observers use face information to infer personality characteristics. Interactive computer systems are trying to take advantage of these findings and apply them to increase the natural aspect of interaction and to improve the performance of interactive computer systems. Here, we experimentally test whether the automatic prediction of facial trait judgments (e.g. dominance) can be made by using the full appearance information of the face and whether a reduced representation of its structure is sufficient. We evaluate two separate approaches: a holistic representation model using the facial appearance information and a structural model constructed from the relations among facial salient points. State of the art machine learning methods are applied to a) derive a facial trait judgment model from training data and b) predict a facial trait value for any face. Furthermore, we address the issue of whether there are specific structural relations among facial points that predict perception of facial traits. Experimental results over a set of labeled data (9 different trait evaluations) and classification rules (4 rules) suggest that a) prediction of perception of facial traits is learnable by both holistic and structural approaches; b) the most reliable prediction of facial trait judgments is obtained by certain type of holistic descriptions of the face appearance; and c) for some traits such as attractiveness and extroversion, there are relationships between specific structural features and social perceptions.
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Aquest treball fa una revisió de mesures experimentals i càlculs teòrics sobre la dinàmica de col·lisions i reaccions moleculars. Els experiments se centren en col·lisions, a energies intermèdies, que involucren sistemes del tipus ió-àtom i iómolècula, per les quals es mesuren seccions eficaces totals, estat a estat, així com aquelles que discerneixen les diferents contribucions del moment angular d'espín. Els resultats obtinguts s'interpreten satisfactòriament en termes d'acoblaments no adiabàtics entre els diferents estats electrònics dels sistemes col·lisionants. Els càlculs teòrics utilitzen la metodologia quasiclàssica, així com metodologies mecanoquàntiques recentment desenvolupades, tant aproximades com exactes. S'han obtingut resultats totalment convergits per sistemes tipus, mentre que s'han analitzat, de manera detallada i extensiva, les característiques dinàmiques de sistemes triatòmic, tetraatòmic i pentaatòmic.
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More than 2,200 Iowans each year experience a traumatic brain injury that requires hospitalization. Of those, more than 750 will experience long-term disability as a result. According to a 2000 CDC report, there are an estimated 50,000 such individuals living in Iowa – a number similar to the population of Ames.
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More than 2,200 Iowans each year experience a traumatic brain injury that requires hospitalization. Of those, more than 750 will experience long-term disability as a result. According to a 2000 CDC report, there are an estimated 50,000 such individuals living in Iowa – a number similar to the population of Ames.
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Coming Into Focus presents a needs assessment related to Iowans with brain injury, and a state action plan to improve Iowa’s ability to meet those needs. Support for this project came from a grant from the Office of Maternal and Child Health to the Iowa Department of Public Health, Iowa’s lead agency for brain injury. The report is a description of the needs of people with brain injuries in Iowa, the status of services to meet those needs and a plan for improving Iowa’s system of supports. Brain injury can result from a skull fracture or penetration of the brain, a disease process such as tumor or infection, or a closed head injury, such as shaken baby syndrome. Traumatic brain injury is a leading cause of death and disability in children and young adults (Fick, 1997). In the United States there are as many as 2 million brain injuries per year, with 300,000 severe enough to require hospitalization. Some 50,000 lives are lost every year to TBI. Eighty to 90 thousand people have moderate to acute brain injuries that result in disabling conditions which can last a lifetime. These conditions can include physical impairments, memory defects, limited concentration, communication deficits, emotional problems and deficits in social abilities. In addition to the personal pain and challenges to survivors and their families, the financial cost of brain injuries is enormous. With traumatic brain injuries, it is estimated that in 1995 Iowa hospitals charged some $38 million for acute care for injured persons. National estimates offer a lifetime cost of $4 million for one person with brain injury (Schootman and Harlan, 1997). With this estimate, new injuries in 1995 could eventually cost over $7 billion dollars. Dramatic improvements in medicine, and the development of emergency response systems, means that more people sustaining brain injuries are being saved. How can we insure that supports are available to this emerging population? We have called the report Coming into Focus, because, despite the prevalence and the personal and financial costs to society, brain injury is poorly understood. The Iowa Department of Public Health, the Iowa Advisory Council on Head Injuries State Plan Task Force, the Brain Injury Association of Iowa and the Iowa University Affiliated Program have worked together to begin answering this question. A great deal of good information already existed. This project brought this information together, gathered new information where it was needed, and carried out a process for identifying what needs to be done in Iowa, and what the priorities will be.
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Traumatic Brain Injury (TBI) impacts the lives of thousands of Iowans every year. TBI has been described as the “Silent Epidemic” because so often the scars are not visible to others. The affects of brain injury are cognitive, emotional, social, and can result in physical disability. In addition to the overwhelming challenges individuals with brain injury experience, families also face many difficulties in dealing with their loved one’s injury, and in navigating a service delivery system that can be confusing and frustrating. In 1998, the Iowa Department of Public Health (IDPH) conducted a comprehensive statewide needs assessment of brain injury in Iowa. This assessment led to the development of the first Iowa Plan for Brain Injury, “Coming Into Focus.” An updated state plan, the Iowa Plan for Brain Injuries 2002 – 2005, was developed, which reported on progress of the previous state plan, and outlined gaps in service delivery in Iowa. Four areas of focus were identified by the State Plan for Brain Injuries Task Force that included: 1) Expanding the Iowa Brain Injury Resource Network (IBIRN); 2) Promoting a Legislative and Policy Agenda, While Increasing Legislative Strength; 3) Enhancing Data Collection; and, 4) Increasing Funding. The IDPH utilized “Coming Into Focus” as the framework for an application to the federal TBI State Grant Program, which has resulted in more than $900,000 for plan implementation. Iowa continues to receive grant dollars through the TBI State Grant Program, which focuses on increasing capacity to serve Iowans with brain injury and their families. Highlighting the success of this grant project, in 2007 the IDPH received the federal TBI Program’s “Impacting Systems Change” Award. The Iowa Brain Injury Resource Network (IBIRN) is the product of nine years of TBI State Grant Program funding. The IBIRN was developed to ensure that Iowans got the information and support they needed after a loved one sustained a TBI. It consists of a hospital and service provider pre-discharge information and service linkage process, a resource facilitation program, a peer-to-peer volunteer support network, and a service provider training and technical assistance program. Currently over 90 public and private partners work with the IDPH and the Brain Injury Association of Iowa (BIA-IA) to administer the IBIRN system and ensure that families have a relevant and reliable location to turn for information and support. Further success was accomplished in 2006 when the Iowa legislature created the Brain Injury Services Program within the IDPH. This program consists of four components focusing on increasing access to services and improving the effectiveness of services available to individuals with TBI and their families, including: 1) HCBS Brain Injury Waiver-Eligible Component; 2) Cost Share Component; 3) Neuro-Resource Facilitation; and, 4) Enhanced Training. The Iowa legislature appropriated $2.4 million to the Brain Injury Services Program in state fiscal year (SFY) 2007, and increased that amount to $3.9 million in SFY 2008. The Cost Share Component models the HCBS Brain Injury Waiver menu of services but is available for Iowans who do not qualify functionally or financially for the Waiver. In addition, the Neuro-Resource Facilitation program links individuals with brain injury and their families to needed supports and services. The Iowa Plan for Brain Injury highlights the continued need for serving individuals with brain injury and their families. Additionally, the Plan outlines the paths of prevention and services, which will expand the current system and direct efforts into the future.
Resumo:
Traumatic Brain Injury (TBI) impacts the lives of thousands of Iowans every year. TBI has been described as the “Silent Epidemic” because so often the scars are not visible to others. The affects of brain injury are cognitive, emotional, and social and can result in physical disability. In addition to the overwhelming challenges individuals with brain injury experience, families also face many difficulties in dealing with their loved one’s injury and in navigating a service delivery system that can be confusing and frustrating.