Biggest Score Research Articles

The Best Selection of Programmers in Generation 4.0 Using AHP and ELECTRE Elimination Methods

The quality of data processing in information systems in the 4.0 industrial era is expected to be in the form of paperless-based digitalization, thus a number of capable and reliable users are needed in terms of data processing in the form of digitalization, the means developed can be through the internet or via smartphone-based on Android. The need for The best programmer is certainly very needed in terms of data development and processing and information delivery. This needs to be done so that the process of sending data and information can be done simply and very high speed, because the transfer of resources has been converted into digital form. The need for programmer staff must be selected consistently so that users who are accepted as the best and reliable programmers according to job requirements, from ten programmers with collaboration AHP method and ELECTRE can provide optimal decisions with the following results, programmer code P5, P6, P7 and P10 get the biggest score with weight of 3, followed by programmer code P9 with weight of 2, and followed by programmer code P1, P2, P8 with weight of 1, and there are two programmer codes which are eliminated by the ELECTRE method, P3 and P4. The collaboration in the method of Analytic Hierarchy Process (AHP) and ELECTRE Elimination which is the crystallization of the Multi-criteria Decision Making (MCDM) can be a decision support in the selection process of the best programmers to produce optimal decisions.

The BIG score and functional outcome at hospital discharge in children with traumatic brain injury

目的 探讨多发创伤患儿中合并脑外伤者入急诊科BIG评分(基础缺陷，INR，GCS)与出院时功能障碍[儿科脑功能表现分类(PCPC)≥4]之间的关系。 设计 2001至2018年儿科创伤数据库回顾性队列研究。 场所 大学附属儿科医院一级创伤项目 对象 2～17岁儿童遭受包括创伤性脑损伤(TBI)在内的重大钝性创伤，并符合创伤小组激活标准。 干预措施 无 测量方法与主要结果 由两名事先不知BIG分值的调查人员确定出院PCPC得分。到达急诊科时测量BIG分值。609例研究患儿年龄(9.7±4.4)岁，中位损伤严重程度评分为22(IQR 12)。171/609例(28%)PCPC≥4(初级结局)。校正神经外科手术需求(OR 2.83，95%CI 1.69-4.74)，瞳孔固定和扩张(OR 3.1，95%CI 1.49-6.38)，现场或转诊医院插管(OR 2.82，95%CI 1.35-5.87)和其他预后不良假定预测因子后，BIG构成了PCPC≥4的多变量预测因子(OR 2.39，95%CI 1.81-3.15)。BIG ROC曲线下面积为0.87(0.84-0.90)。使用最佳BIG拐点值≤8，出院时功能障碍的敏感度和净现值分别为93%和96%。GCS≤8的敏感度为79%，净现值为91%。GCS 3分患儿BIG评分与脑死亡相关(OR 2.13，95%CI 1.58-2.36)。BIG还预测住院患儿康复倾向(OR 2.26，95%CI 2.17-2.35)。 结论 BIG评分是一项简单且可快速获得的疾病严重程度评分，为TBI等创伤患儿出院时功能依赖的独立预测因子。BIG得分可能有助于创伤和神经重症监护项目在治疗窗口期确定TBI试验的理想入组对象。

The Best Selection of Programmers in Generation 4.0 Using AHP and ELECTRE Elimination Methods

The quality of data processing in information systems in the 4.0 industrial era is expected to be in the form of paperless-based digitalization, thus a number of capable and reliable users are needed in terms of data processing in the form of digitalization, the means developed can be through the internet or via smartphone-based on Android. The need for The best programmer is certainly very needed in terms of data development and processing and information delivery. This needs to be done so that the process of sending data and information can be done simply and very high speed, because the transfer of resources has been converted into digital form. The need for programmer staff must be selected consistently so that users who are accepted as the best and reliable programmers according to job requirements, from ten programmers with collaboration AHP method and ELECTRE can provide optimal decisions with the following results, programmer code P5, P6, P7 and P10 get the biggest score with weight of 3, followed by programmer code P9 with weight of 2, and followed by programmer code P1, P2, P8 with weight of 1, and there are two programmer codes which are eliminated by the ELECTRE method, P3 and P4. The collaboration in the method of Analytic Hierarchy Process (AHP) and ELECTRE Elimination which is the crystallization of the Multi-criteria Decision Making (MCDM) can be a decision support in the selection process of the best programmers to produce optimal decisions.

The Base Deficit, International Normalized Ratio, and Glasgow Coma Scale (BIG) Score, and Functional Outcome at Hospital Discharge in Children With Traumatic Brain Injury.

To examine the association of the base deficit, international normalized ratio, and Glasgow Coma Scale (BIG) score on emergency department arrival with functional dependence at hospital discharge (Pediatric Cerebral Performance Category ≥ 4) in pediatric multiple trauma patients with traumatic brain injury. A retrospective cohort study of a pediatric trauma database from 2001 to 2018. Level 1 trauma program at a university-affiliated pediatric institution. Two to 17 years old children sustaining major blunt trauma including a traumatic brain injury and meeting trauma team activation criteria. None. Two investigators, blinded to the BIG score, determined discharge Pediatric Cerebral Performance Category scores. The BIG score was measured on emergency department arrival. The 609 study patients were 9.7 ± 4.4 years old with a median Injury Severity Score 22 (interquartile range, 12). One-hundred seventy-one of 609 (28%) had Pediatric Cerebral Performance Category greater than or equal to 4 (primary outcome). The BIG constituted a multivariable predictor of Pediatric Cerebral Performance Category greater than or equal to 4 (odds ratio, 2.39; 95% CI, 1.81-3.15) after adjustment for neurosurgery requirement (odds ratio, 2.83; 95% CI, 1.69-4.74), pupils fixed and dilated (odds ratio, 3.1; 95% CI, 1.49-6.38), and intubation at the scene or referral hospital (odds ratio, 2.82; 95% CI, 1.35-5.87) and other postulated predictors of poor outcome. The area under the BIG receiver operating characteristic curve was 0.87 (0.84-0.90). Using an optimal BIG cutoff less than or equal to 8, sensitivity and negative predictive value for functional dependence at discharge were 93% and 96%, respectively, compared with a sensitivity of 79% and negative predictive value of 91% with Glasgow Coma Scale less than or equal to 8. In children with Glasgow Coma Scale 3, the BIG score was associated with brain death (odds ratio, 2.13; 95% CI, 1.58-2.36). The BIG also predicted disposition to inpatient rehabilitation (odds ratio, 2.26; 95% CI, 2.17-2.35). The BIG score is a simple, rapidly obtainable severity of illness score that constitutes an independent predictor of functional dependence at hospital discharge in pediatric trauma patients with traumatic brain injury. The BIG score may benefit Trauma and Neurocritical care programs in identifying ideal candidates for traumatic brain injury trials within the therapeutic window of treatment.

Analysis of Thinking Ability Intuition of Mathematical Education Study Program Students Based on Realistic Mathematical Approaches

Intuitive is a process of thinking based on intuition that is a purification of conclusions that are strongly reasoned through feeling and indispensable in learning mathematics. The research objectives were: describe the ability of mathematical intuition thinking (Kb-iM) and the effectiveness of the application of realistic mathematical approaches from students of Mathematics Education Study Program FMIPA Medan State University. The sample of the study was 36 students in the 2015 class who were / had attended the Kapita Selekta Mathematics School course. The research instrument was in the form of 8 items of objective test of mathematical intuitive thinking ability. This test was developed based on the formulation of indicators that are built from supporting theories. The results of data analysis show that: (1) for the pre-test Kb-iM the range = 0.88; smallest score 2.38; biggest score of 3.25; average = 2.86 and standard deviation = 0.24. The same thing with the Kb-iM post-test obtained a range of values = 1.30; smallest score 2.60; biggest score 3.9; average = 3.24 and standard deviation = 0.31. Average values mean that the level of initial achievement of students’ mathematical intuitive thinking skills was only 71.5% and after realistic mathematics learning it had reached 81.0% or an increase of 10%. This fact gave the meaning that realistic mathematical learning approaches play a positive role to improve students’ mathematical intuitive thinking skills. At the end of the study it turned out that the level of mathematical intuitive thinking ability of students was at least at the moderate level.

STRATEGI PENGEMBANGAN EKOWISATA MANGROVE MUARA BENGAWAN SOLO DI DESA PANGKAH WETAN, KECAMATAN UJUNGPANGKAH, KABUPATEN GRESIK

Pangkah Wetan village has begun to utilize mangrove forests. At present, mangrove forests have been developed as ecotourism objects, however, the management has not developed them maximally. This study aims to determine the strengths, weaknesses, opportunities, and threats, as well as to analyze the strategies used in developing ecotourism at Muara Bengawan Solo Mangrove. Six key informants were selected as resource persons, while 30 respondents were selected by accidental sampling, they became the subject of analysis. The tool used is SWOT analysis (Strength, Weakness, Opportunity, Threat) and Quantitative Strategic Planning Matrix (QSPM). The results shows that the biggest score 1.84 was obtained at the opportunity, while the threat score was 0.84 so that this mangrove ecotourism still has many opportunities that could be used in developing ecotourism. The scores of strengths and weaknesses are 1.62 and 1.22, with a score difference of 0.4 only. The strength is only a slight difference from its weaknesses. Based on QSPM, an alternative strategy is obtained with the highest score of 5.71% at the first alternative. Application of the strategy used in developing mangrove ecotourism is the improvement of facilities provided to visitors.

Mortality prediction in pediatric trauma

BackgroundIn trauma research, accurate estimates of mortality that can be rapidly calculated prior to enrollment are essential to ensure appropriate patient selection and adequate sample size. This study compares the accuracy of the BIG (Base Deficit, International normalized ratio and Glasgow Coma scale) score in predicting mortality in pediatric trauma patients to Pediatric Risk of Mortality III (PRISM III) score, Pediatric Index of Mortality 2 (PIM2) score and Pediatric Logistic Organ Dysfunction (PELOD) score. MethodsData were collected from Virtual Pediatric Systems (VPS, LLC) database for children between 2004 and 2015 from 149 PICUs. Logistic regression models were developed to evaluate mortality prediction. The Area under the Curve (AUC) of Receiver Operator Characteristic (ROC) curves were derived from these models and compared between scores. ResultsA total of 45,377 trauma patients were analyzed. The BIG score could only be calculated for 152 patients (0.33%). PRISM III, PIM2, and PELOD scores were calculated for 44,360, 45,377 and 14,768 patients respectively. The AUC of the BIG score was 0.94 compared to 0.96, 0.97 and 0.93 for the PRISM III, PIM2, and PELOD respectively. ConclusionsThe BIG score is accurate in predicting mortality in pediatric trauma patients. Level of evidenceLevel I prognosis.

THE ANALYSIS OF COSTA AND KALLICK'S HABITS OF MIND ON THE STUDENTS OF PROSPECTIVE BIOLOGY TEACHERS

Habits of mind were most important to be had by the science education the students. The prospective science teachers were required to have the skills of self-regulation, creative thinking and critical thinking. Those three skills were the categories of habits of mind. This study reviewed on how the habits of mind of the students of prospective Biology teachers were, in which category the students' habits of mind were, how the differences of the habits of mind of the male and female the students were, and whether there was any relation between the students' grade points and their habits of mind. The analysis result obtained that 79.7% the students included in the adequate category of habits of mind (N=133). From 16 categories of the habits of mind, the responding with wonderment and awe category had the biggest average score that was 5.69 which meant that most of Science education the students had high enough curiosity in the mystery of the nature. There was no difference of the habits of mind had by the male and female the students, and there was no correlation between the habits of mind and the students' grade points.

RETROSPECTIVE EVALUATION OF THE BIG SCORE TO PREDICT MORTALITY IN PEDIATRIC BLUNT TRAUMA

BACKGROUND: The BIG score is a new pediatric trauma score composed of the admission Base deficit, the International Normalized Ratio and the Glasgow Coma Scale. A score < 16 identifies children with a high probability of survival following blunt trauma. OBJECTIVES: To measure the criterion validity of the BIG score to predict in-hospital mortality among children visiting an emergency department with blunt trauma requiring an admission to the intensive care unit. DESIGN/METHODS: This was a retrospective cohort study performed in a single tertiary care pediatric hospital between 2008 and 2016. Participants were all children (< 18 years) visiting the emergency department for a blunt trauma requiring intensive care unit admission or who died at the emergency department. All charts were reviewed by a member of the research team using a standardized report form. To insure quality of data abstraction, 10% of the charts were reviewed in duplicate by a second rater blinded to the first evaluation. The primary outcome was in-hospital mortality. Baseline demographics, components of the BIG score upon arrival to the emergency department, and disposition were extracted. The primary analysis was the association between the BIG score and mortality. It was calculated that the inclusion of at least 25 deaths would provide confidence intervals of +/- 0.15 for proportions. RESULTS: Twenty-eight children died among the 336 who met the inclusion criteria. The inter-rater agreement for data abstraction was excellent for the 36 charts reviewed in duplicate with kappa scores or interclass correlation coefficients > 0.8 for all data. 284 children had information on the three components of the BIG score and they were included in the primary analysis. A BIG score > 16 demonstrated a sensitivity of 0.93 (95%CI: 0.76–0.98) and specificity of 0.83 (95%CI 0.78–0.87) to identify mortality. Using ROC curves, the area under the curve was statistically better for the BIG score (0.97) in comparison to the ISS (0.70) or to the individual components of the score. CONCLUSION: The BIG score is an excellent predictor of survival for children visiting the emergency department following a blunt trauma.

LO63: External validation of the BIG score to predict mortality in pediatric blunt trauma

Introduction: The BIG score is a new pediatric trauma score composed of the admission base deficit (BD), the international normalized ratio (INR) and the Glasgow Coma Scale (GCS). A score&amp;lt;16 identifies children with a high probability of survival following blunt trauma.The objective of this study was to measure the criterion validity of the BIG score to predict in-hospital mortality among children visiting an emergency department with blunt trauma requiring an admission to the intensive care unit. Methods: This was a retrospective cohort study performed in a single tertiary care pediatric hospital between 2008 and 2016. Participants were all children (&amp;lt;18 years) visiting the emergency department for a blunt trauma requiring intensive care unit admission or who died at the emergency department. All charts were reviewed by a member of the research team using a standardized report form. To insure quality of data abstraction, 10% of the charts were reviewed in duplicate by a second rater blinded to the first evaluation. The primary outcome was in-hospital mortality. Baseline demographics, initial components of the BIG score, Injury Severity Score (ISS) and disposition were extracted. The primary analysis was the association between a BIG score ≥16 and in-hospital mortality. It was calculated that the inclusion of at least 25 deaths would provide confidence intervals of +/- 0.20 for proportions in the worst-case scenario. Results: Twenty-eight children died among the 336 who met the inclusion criteria. The inter-rater agreement for data abstraction was excellent with kappa scores or intraclass correlation coefficients higher than 0.8 for all variables. Two hundred eighty-four children had information on the three components of the BIG score and they were included in the primary analysis. A BIG score ≥16 demonstrated a sensitivity of 0.93 (95%CI: 0.76-0.98) and specificity of 0.83 (95%CI 0.78-0.87) to identify mortality. Using ROC curves, the area under the curve was higher for the BIG score (0.97; 95%IC: 0.95-0.99) in comparison to the ISS (0.78; 95%IC: 0.71-0.85). Conclusion: The BIG score is an excellent predictor of survival for children visiting the emergency department following a blunt trauma.

Potential effects of high plasma to red blood cell ratio transfusion in pediatric trauma

ObjectiveHigh ratio of plasma to red blood cells during massive transfusion is associated with improved survival of traumatic injuries in adults, but this has not been demonstrated in children. Our objective was to compare the outcome of children who received high (≥1:2) versus low (&lt;1:2) plasma: red blood cells (P:R) ratios at 24 h from injury.MethodsWe conducted a retrospective chart review of children &lt;18 years of age who presented to the emergency department over a 7-year period and received massive transfusion (≥40 ml/kg red blood cells or ≥80 ml/kg total blood products in 24 h). Our primary outcome of interest was in-hospital mortality.ResultsWe identified 38 children who received massive transfusion. There was no significant difference in in-hospital mortality (45.8% vs. 64.3%) between the high (n = 24, median ratio 1:1.1) and low P:R ratio (n = 14, median 1:3.2) groups. In subset analyses, there was reduced mortality for high P:R patients with BIG score ≥24 (69.2% vs. 100%) and those taken to the operating room within 6 h of arrival (21.4% vs. 60.0%), respectively ( p &lt; 0.05). There was a trend for improved survival in high P:R patients without severe traumatic brain injury (TBI) (0% vs. 40.0%).ConclusionsThis study suggests that high P:R transfusion may improve in-hospital survival of injured children at high risk of mortality and in children without severe TBI, supporting the need for large, multi-center studies.

Early coagulopathy and metabolic acidosis predict transfusion of packed red blood cells in pediatric trauma patients

BackgroundSeverely injured pediatric trauma patients often present to hospital with early coagulopathy and metabolic acidosis. These derangements are associated with poor outcomes, but it is unclear to what degree they predict transfusion of packed red blood cells (pRBC). MethodsWe retrospectively identified pediatric trauma patients from a level 1 trauma center from 2006 to 2013. Inclusion criteria were age less than 18years, Injury Severity Score greater than 12, and pRBC transfusion within 24h of admission. ResultsWe identified 96 pediatric trauma patients who underwent pRBC transfusion within 24h of presentation to hospital. On admission, 43% of these patients had one or more signs of coagulopathy, and 81% had metabolic acidosis. Size of pRBC transfusion in the first 24h ranged from 3 to 177mL/kg (mean 29mL/kg), and nineteen patients (20%) underwent massive transfusion (>40ml/kg in 24h). Univariate analysis indicated that size of pRBC transfusion was associated with initial base excess (r=0.46), international normalized ratio (r=0.35), partial thromboplastin time (r=0.41), fibrinogen (r=0.46), and BIG score (Base deficit, INR, Glasgow Coma Scale (GCS), r=0.36). Platelet count, age, GCS, and direct versus referred presentation were not predictive. Multivariable linear regression confirmed that coagulopathy and metabolic acidosis remained predictive after adjusting for direct versus referred presentation (R2=0.30). ConclusionsEarly coagulopathy and metabolic acidosis predict size of pRBC transfusion among pediatric trauma patients. Further research is needed to develop massive transfusion protocols and guidelines for activation.

Pediatric trauma BIG score: Predicting mortality in polytraumatized pediatric patients.

Background:Trauma is a worldwide health problem and the major cause of death and disability, particularly affecting the young population. It is important to remember that pediatric trauma care has made a significant improvement in the outcomes of these injured children.Aim of the Work:This study aimed at evaluation of pediatric trauma BIG score in comparison with New Injury Severity Score (NISS) and Pediatric Trauma Score (PTS) in Tanta University Emergency Hospital.Materials and Methods:The study was conducted in Tanta University Emergency Hospital to all multiple trauma pediatric patients attended to the Emergency Department for 1 year. Pediatric trauma BIG score, PTS, and NISS scores were calculated and results compared to each other and to observed mortality.Results:BIG score ≥12.7 has sensitivity 86.7% and specificity 71.4%, whereas PTS at value ≤3.5 has sensitivity 63.3% and specificity 68.6% and NISS at value ≥39.5 has sensitivity 53.3% and specificity 54.3%. There was a significant positive correlation between BIG score value and mortality rate.Conclusion:The pediatric BIG score is a reliable mortality-prediction score for children with traumatic injuries; it uses international normalization ratio (INR), Base Excess (BE), and Glasgow Coma Scale (GCS) values that can be measured within a few minutes of sampling, so it can be readily applied in the Pediatric Emergency Department, but it cannot be applied on patients with chronic diseases that affect INR, BE, or GCS.

The BIG Score and Prediction of Mortality in Pediatric Blunt Trauma

To examine the association between in-hospital mortality and the BIG (composed of the base deficit [B], International normalized ratio [I], Glasgow Coma Scale [G]) score measured on arrival to the emergency department in pediatric blunt trauma patients, adjusted for pre-hospital intubation, volume administration, and presence of hypotension and head injury. We also examined the association between the BIG score and mortality in patients requiring admission to the intensive care unit (ICU). A retrospective 2001-2012 trauma database review of patients with blunt trauma ≤ 17 years old with an Injury Severity score ≥ 12. Charts were reviewed for in-hospital mortality, components of the BIG score upon arrival to the emergency department, prehospital intubation, crystalloids ≥ 20 mL/kg, presence of hypotension, head injury, and disposition. 50/621 (8%) of the study patients died. Independent mortality predictors were the BIG score (OR 11, 95% CI 6-25), prior fluid bolus (OR 3, 95% CI 1.3-9), and prior intubation (OR 8, 95% CI 2-40). The area under the receiver operating characteristic curve was 0.95 (CI 0.93-0.98), with the optimal BIG cutoff of 16. With BIG <16, death rate was 3/496 (0.006, 95% CI 0.001-0.007) vs 47/125 (0.38, 95% CI 0.15-0.7) with BIG ≥ 16, (P < .0001). In patients requiring admission to the ICU, the BIG score remained predictive of mortality (OR 14.3, 95% CI 7.3-32, P < .0001). The BIG score accurately predicts mortality in a population of North American pediatric patients with blunt trauma independent of pre-hospital interventions, presence of head injury, and hypotension, and identifies children with a high probability of survival (BIG <16). The BIG score is also associated with mortality in pediatric patients with trauma requiring admission to the ICU.

162: The Big Score &amp; Prediction of Mortality in Pediatric Trauma

162: The Big Score &amp; Prediction of Mortality in Pediatric Trauma

Comparison of the predictive performance of the BIG, TRISS, and PS09 score in anadult trauma population derived from multiple international trauma registries

BackgroundThe BIG score (Admission base deficit (B), International normalized ratio (I), and Glasgow Coma Scale (G)) has been shown to predict mortality on admission in pediatric trauma patients. The objective of this study was to assess its performance in predicting mortality in an adult trauma population, and to compare it with the existing Trauma and Injury Severity Score (TRISS) and probability of survival (PS09) score.Materials and methodsA retrospective analysis using data collected between 2005 and 2010 from seven trauma centers and registries in Europe and the United States of America was performed. We compared the BIG score with TRISS and PS09 scores in a population of blunt and penetrating trauma patients. We then assessed the discrimination ability of all scores via receiver operating characteristic (ROC) curves and compared the expected mortality rate (precision) of all scores with the observed mortality rate.ResultsIn total, 12,206 datasets were retrieved to validate the BIG score. The mean ISS was 15 ± 11, and the mean 30-day mortality rate was 4.8%. With an AUROC of 0.892 (95% confidence interval (CI): 0.879 to 0.906), the BIG score performed well in an adult population. TRISS had an area under ROC (AUROC) of 0.922 (0.913 to 0.932) and the PS09 score of 0.825 (0.915 to 0.934). On a penetrating-trauma population, the BIG score had an AUROC result of 0.920 (0.898 to 0.942) compared with the PS09 score (AUROC of 0.921; 0.902 to 0.939) and TRISS (0.929; 0.912 to 0.947).ConclusionsThe BIG score is a good predictor of mortality in the adult trauma population. It performed well compared with TRISS and the PS09 score, although it has significantly less discriminative ability. In a penetrating-trauma population, the BIG score performed better than in a population with blunt trauma. The BIG score has the advantage of being available shortly after admission and may be used to predict clinical prognosis or as a research tool to risk stratify trauma patients into clinical trials.

Perfil dos usuários de AASI com vistas à amplificação, cognição e processamento auditivo

OBJETIVO: estabelecer o perfil dos usuários de AASI atendidos no Centro de Saúde Auditiva com vistas à amplificação, cognição e processamento auditivo (PA). MÉTODO: participaram do estudo 59 sujeitos com idades entre 41 e 92 anos. Na primeira etapa, realizou-se a coleta dos dados dos prontuários: dados das avaliações audiológica e otorrinolaringológica, anamnese, teste de fala com o AASI em uso, dados do molde e do AASI, orientações recebidas e resultados do treinamento auditivo. Na segunda etapa, foram realizados os testes de Dicótico de Dígitos (DD) e Teste de Padrão de Frequência (TPF), Avaliação da Doença de Alzheimer-Cognitiva (ADAS-Cog) e a Escala de Depressão Geriátrica (EDG-15). Nessa etapa, participaram 47 sujeitos. RESULTADOS: em relação à idade, 67,80% tem 60 anos ou mais. Os aspectos mais relatados na anamnese foram tontura e zumbido e exposição ao ruído. Na avaliação audiológica, identificou-se perda auditiva neurossensorial de grau moderado e curva descendente como os mais frequentes, coincidindo com os achados imitanciométricos: curva tipo A com reflexos ausentes. No treinamento auditivo, as habilidades que mais apresentaram alterações foram identificação e compreensão. Nos testes DD e TPF, as médias de acertos ficaram abaixo dos padrões de normalidade. No ADAS-Cog, os maiores escores foram palavra evocada, reconhecimento de palavra e compreensão. No EDG, 20 sujeitos apresentam características sugestivas de depressão. CONCLUSÃO: foi possível estabelecer o perfil dos usuários de AASI com vistas à amplificação, cognição e ao PA.

Pediatric Trauma BIG Score: Predicting Mortality in Children After Military and Civilian Trauma

To develop a validated mortality prediction score for children with traumatic injuries. We identified all children (<18 years of age) in the US military established Joint Theater Trauma Registry from 2002 to 2009 who were admitted to combat-support hospitals with traumatic injuries in Iraq and Afghanistan. We identified factors associated with mortality using univariate and then multivariate regression modeling. The developed mortality prediction score was then validated on a data set of pediatric patients (≤ 18 years of age) from the German Trauma Registry, 2002-2007. Admission base deficit, international normalized ratio, and Glasgow Coma Scale were independently associated with mortality in 707 patients from the derivation set and 1101 patients in the validation set. These variables were combined into the pediatric "BIG" score (base deficit + [2.5 × international normalized ratio] + [15 - Glasgow Coma Scale), which were each calculated to have an area under the curve of 0.89 (95% confidence interval: 0.83-0.95) and 0.89 (95% confidence interval: 0.87-0.92) on the derivation and validation sets, respectively. The pediatric trauma BIG score is a simple method that can be performed rapidly on admission to evaluate severity of illness and predict mortality in children with traumatic injuries. The score has been shown to be accurate in both penetrating-injury and blunt-injury populations and may have significant utility in comparing severity of injury in future pediatric trauma research and quality-assurance studies. In addition, this score may be used to determine inclusion criteria on admission for prospective studies when accurately estimating the mortality for sample size calculation is required.

Pediatric Trauma BIG Score: Predicting Mortality in Children After Military and Civilian Trauma

Pediatric Trauma BIG Score: Predicting Mortality in Children After Military and Civilian Trauma

A Community Public Health System Design based on HL7 Criterions

The platform integration study on hospital management information system with common interface had the data exchange and sharing on several information platform come true. The external study is to apply the results to bigger score and operating surroundings. The study about Computer-Based Patient Record (CPR) on Health Level Seven (HL7) combing the middleware is to achieve the uniform data and function so that we can exchange and share the medical information. After analysis of the data requirement between the hospital and the medical enterprise, the community medical platform was designed on the HL7 engine to satisfy the data communication and transmission. Combing the middleware the integration platform had the function of query and sharing.