BIG score

BIG 得分
  • 文章类型: Journal Article
    这项研究的目的是比较死亡率预测的评分系统,并确定这些评分系统在小儿多发伤患者中的阈值。纳入了从2020年1月至2021年8月转诊至儿科重症监护病房的57例多发性创伤患者。儿科创伤评分(PTS),损伤严重程度评分(ISS),基本赤字(B),国际标准化比率(I),格拉斯哥昏迷量表(G)(BIG)评分,分析所有患者的儿科死亡风险3(PRISM3)评分.在研究小组中,35%为女性,65%为男性,平均年龄为72个月(四分位距:140)。所有组的死亡率为12.2%。基于死亡率预测的所有风险评分均具有统计学意义。PTS的截止值为3.5,灵敏度为96%,特异性为62%;对于ISS,该评分为20.5,敏感性为92%,特异性为43%;BIG评分阈值为17.75,敏感性为85.7%,特异性为34%;PRISM3评分阈值为12.5,敏感性为87.6%,特异性为28%.PTS,ISS,大得分,PRISM3评分是小儿多发伤患者死亡的准确风险预测因子.国际空间站优于PTS,PRISM3分,以及对幸存者和非幸存者之间的歧视的大分数。
    The aim of this study was to compare scoring systems for mortality prediction and determine the threshold values of these scoring systems in pediatric multitrauma patients. A total of 57 multitrauma patients referred to the pediatric intensive care unit from January 2020 to August 2021 were included. The pediatric trauma score (PTS), injury severity score (ISS), base deficit (B), international normalized ratio (I), Glasgow coma scale (G) (BIG) score, and pediatric risk of mortality 3 (PRISM 3) score were analyzed for all patients. Of the study group, 35% were female and 65% were male with a mean age of 72 months (interquartile range: 140). All groups\' mortality ratio was 12.2%. All risk scores based on mortality prediction were statistically significant. Cutoff value for PTS was 3.5 with 96% sensitivity and 62% specificity; for the ISS, it was 20.5 with 92% sensitivity and 43% specificity; threshold of the BIG score was 17.75 with 85.7% sensitivity and 34% specificity; and 12.5 for PRISM 3 score with 87.6% sensitivity and 28% specificity. PTS, ISS, BIG score, and PRISM 3 score were accurate risk predictors for mortality in pediatric multitrauma patients. ISS was superior to PTS, PRISM 3 score, and BIG score for discrimination between survivors and nonsurvivors.
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  • 文章类型: Journal Article
    背景:本研究旨在评估BIG评分在预测创伤性脑损伤(TBI)儿童死亡率方面的可靠性,并将其与文献和其他评分系统进行比较。
    方法:对2014年至2019年在三级参考医院儿科重症监护病房(PICU)接受TBI随访的患者进行回顾性评估。
    结果:一百五十九名患者符合纳入标准。最常见的损伤机制是从高处坠落(39.6%)。死亡率为12.6%(n=20)。平均大分数,ISS,和PRISMIII在死亡率组中显著高于统计学(p<0.001).在整个研究组的ROC分析中发现的AUC值,分别,大分数为0.962(CI0.920-0.986),国际空间站为0.952(CI0.906-0.979),GCS为0.957(CI0.913-0.983),PRISMIII为0.981(CI0.946-0.996)。在孤立性TBI患者中,BIG评分的AUC值为0.988(0.967-1.000),高于ISS和PRISM3[0.983(0.956-1.000),0.969(0.932-1.000))。全组BIG评分的临界点为19(敏感度95%,特异性88%,阳性预测值0.58,阴性预测值0.99)。在逻辑回归模型中,我们发现BIG评分是死亡率的自变量(AOR:1.4,95CI1.22-1.63).
    结论:在儿童创伤性脑损伤中,大分数很简单,快速计算,以及死亡率和疾病严重程度的良好预测指标。在这个问题上需要更广泛的系列前瞻性研究。
    BACKGROUND: This study aims to evaluate the reliability of the BIG score in predicting mortality in children with traumatic brain injury (TBI) and to compare it with the literature and other scoring systems.
    METHODS: Patients who were followed up in the Pediatric Intensive Care Unit (PICU) for TBI between 2014 and 2019 in a tertiary reference hospital were evaluated retrospectively.
    RESULTS: One hundred fifty-nine patients met the inclusion criteria. The most common injury mechanisms were falling from a height (39.6%). The mortality rate was 12.6% (n = 20). The mean BIG score, ISS, and PRISM III were statistically significantly higher in the mortality group (p < 0.001). The AUC values found in the ROC analysis in the whole study group, respectively, 0.962 (CI 0.920-0.986) for the BIG score, 0.952 (CI 0.906-0.979) for the ISS, 0.957 (CI 0.913-0.983) for the GCS, and 0.981 (CI 0.946-0.996) for the PRISM III. In the patients with isolated TBI, the AUC value for the BIG score was 0.988 (0.967-1.000) and higher than the ISS and PRISM 3 [0.983 (0.956-1.000), 0.969 (0.932-1.000) respectively]). The cut-off point for the BIG score in the whole group was 19 (sensitivity 95%, specificity 88%, positive predictive value 0.58, negative predictive value 0.99). In logistic regression model, we found that BIG score is an independent variable for mortality (AOR:1.4, 95%CI 1.22-1.63).
    CONCLUSIONS: In children with traumatic brain injury, the BIG score is simple, quickly calculated, and a good predictor of mortality and disease severity. Prospective studies with more extensive series are needed on this subject.
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  • 文章类型: Journal Article
    基本赤字,国际标准化比率,Glasgow昏迷量表(BIG)评分用于预测小儿创伤患者的预后.我们设计了这项研究,以探讨和改善BIG评分在成人创伤性脑损伤(TBI)患者的预后价值。
    在公共重症监护数据库中诊断为TBI的成年患者被纳入本观察性研究。根据格拉斯哥昏迷量表(GCS)计算BIG评分,国际标准化比率(INR),基础赤字。进行Logistic回归分析以确认BIG评分与纳入患者的预后之间的关联。绘制受试者工作特征(ROC)曲线以评估BIG评分和新构建的模型的预后价值。
    总共,1,034例TBI患者纳入本研究,死亡率为22.8%。非幸存者的BIG评分高于幸存者(p<0.001)。多因素Logistic回归分析结果显示,年龄(p<0.001),脉搏血氧饱和度(SpO2)(p=0.032),葡萄糖(p=0.015),血红蛋白(p=0.047),BIG评分(p<0.001),蛛网膜下腔出血(p=0.013),和脑内血肿(p=0.001)与纳入患者的院内死亡率相关.BIG评分的AUC(ROC曲线下面积)为0.669,不如以前的儿科创伤队列高。然而,将BIG评分与年龄相结合,AUC增至0.764.由包括BIG在内的重要因素组成的预后模型具有0.786的最高AUC。
    年龄调整后的BIG评分在预测成年TBI患者死亡率方面优于原始BIG评分。结合BIG评分的预后模型对临床医生有益,帮助他们对成年TBI患者进行早期分诊和治疗决策。
    UNASSIGNED: The base deficit, international normalized ratio, and Glasgow Coma Scale (BIG) score was previously developed to predict the outcomes of pediatric trauma patients. We designed this study to explore and improve the prognostic value of the BIG score in adult patients with traumatic brain injury (TBI).
    UNASSIGNED: Adult patients diagnosed with TBI in a public critical care database were included in this observational study. The BIG score was calculated based on the Glasgow Coma Scale (GCS), the international normalized ratio (INR), and the base deficit. Logistic regression analysis was performed to confirm the association between the BIG score and the outcome of included patients. Receiver operating characteristic (ROC) curves were drawn to evaluate the prognostic value of the BIG score and novel constructed models.
    UNASSIGNED: In total, 1,034 TBI patients were included in this study with a mortality of 22.8%. Non-survivors had higher BIG scores than survivors (p < 0.001). The results of multivariable logistic regression analysis showed that age (p < 0.001), pulse oxygen saturation (SpO2) (p = 0.032), glucose (p = 0.015), hemoglobin (p = 0.047), BIG score (p < 0.001), subarachnoid hemorrhage (p = 0.013), and intracerebral hematoma (p = 0.001) were associated with in-hospital mortality of included patients. The AUC (area under the ROC curves) of the BIG score was 0.669, which was not as high as in previous pediatric trauma cohorts. However, combining the BIG score with age increased the AUC to 0.764. The prognostic model composed of significant factors including BIG had the highest AUC of 0.786.
    UNASSIGNED: The age-adjusted BIG score is superior to the original BIG score in predicting mortality of adult TBI patients. The prognostic model incorporating the BIG score is beneficial for clinicians, aiding them in making early triage and treatment decisions in adult TBI patients.
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  • 文章类型: Evaluation Study
    大比分,包括准入基数赤字(B),国际标准化比率(I),和GCS(G),是一种疾病严重程度评分,可用于快速预测外伤后出现的儿科患者的院内死亡率。我们试图将儿科创伤BIG评分的死亡率预测与其他公认的儿科创伤疾病严重程度评分进行比较:儿科逻辑器官功能障碍(PELOD);儿科死亡率指数2(PIM2);和儿科死亡率风险(PRISMIII)。
    在这项回顾性队列研究中,2009年至2015年的数据是使用多机构数据库收集的.包括所有记录有初始GCS的外伤后入院的儿科患者。BIG,PELOD,计算PIM2和PRISMIII评分,得出所有疾病严重程度评分的受试者操作员特征曲线。通过曲线下面积(AUC)比较每个分数的死亡率预测性能。
    共有29,204名患者被纳入该分析。AUC为BIG,PELOD,PIM2和PRISMIII评分为0.97(0.97-0.98),0.98(0.98-0.98),0.98(0.97-0.98),和0.99(0.98-0.99),分别。在16的最佳截止点,BIG评分的灵敏度为0.937,特异性为0.938,阳性预测值为0.514,阴性预测值为0.995。
    在这个庞大的儿科创伤患者队列中,使用缺失变量的填补的BIG得分与PELOD类似,PIM2和PRISMIII,进一步验证分数作为死亡率的预测指标。
    The BIG score, which is comprised of admission base deficit (B), International Normalized Ratio (I), and GCS (G), is a severity of illness score that can be used to rapidly predict in-hospital mortality in pediatric patients presenting following traumatic injury. We sought to compare the mortality prediction of the pediatric trauma BIG score with other well-established pediatric trauma severity of illness scores: the pediatric logistic organ dysfunction (PELOD); the pediatric index of mortality 2 (PIM2); and the pediatric risk of mortality (PRISM III).
    In this retrospective cohort study, data from 2009 to 2015 was collected using a multi-institutional database. All pediatric patients admitted following traumatic injury with a recorded initial GCS were included. BIG, PELOD, PIM2, and PRISM III scores were calculated, and Receiver Operator Characteristic curves were derived for all severity of illness scores. Mortality prediction performance for each score was compared by the area under the curve (AUC).
    A total of 29,204 patients were included in this analysis. AUC for BIG, PELOD, PIM2, and PRISM III scores were 0.97 (0.97-0.98), 0.98 (0.98-0.98), 0.98 (0.97-0.98), and 0.99 (0.98-0.99), respectively. At the optimum cut-off point of 16, the BIG score had a sensitivity of 0.937, specificity of 0.938, positive predictive value of 0.514, and negative predictive value of 0.995.
    In this massive cohort of pediatric trauma patients, the BIG score using imputation of missing variables performed similarly to the PELOD, PIM2, and PRISM III, further validating the score as a predictor of mortality.
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  • 文章类型: Journal Article
    背景:在创伤研究中,在纳入前可以快速计算死亡率的准确估计值对于确保适当的患者选择和足够的样本量至关重要.这项研究比较了BIG(基本赤字,国际标准化比率和格拉斯哥昏迷量表)评分在预测儿科创伤患者死亡率与儿科死亡率风险III(PRISMIII)评分中,儿科死亡率指数2(PIM2)评分和儿科Logistic器官功能障碍(PELOD)评分。
    方法:数据来自虚拟儿科系统(VPS,LLC)2004年至2015年间149个PICU的儿童数据库。建立Logistic回归模型来评估死亡率预测。从这些模型导出受试者操作特征(ROC)曲线的曲线下面积(AUC),并在评分之间进行比较。
    结果:共分析了45,377例创伤患者。BIG评分只能计算152例患者(0.33%)。PRISMIII,分别计算了44,360、45,377和14,768例患者的PIM2和PELOD评分。BIG评分的AUC为0.94,而PRISMIII的AUC为0.96、0.97和0.93,分别为PIM2和PELOD。
    结论:BIG评分可准确预测小儿创伤患者的死亡率。
    方法:I级预后。
    BACKGROUND: In 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.
    METHODS: Data 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.
    RESULTS: A 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.
    CONCLUSIONS: The BIG score is accurate in predicting mortality in pediatric trauma patients.
    METHODS: Level I prognosis.
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  • 文章类型: Journal Article
    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.
    OBJECTIVE: 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.
    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.
    CONCLUSIONS: 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.
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