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9篇 您的检索式:作者名="Ashima G"
    题名 作者 年代 出处 被引量
1上颌前牵引伴有(不伴有)上颌扩弓过程中骨缝受力情况的三维有限元研究显示文摘Pawan G Ashima V Raviraj A 2009美国正畸与颌面矫形杂志2009,,:1
2Arch width changes in canine and molar regions after' extraction and non-extraction treatment 显示文摘Sumit G Ashima V 2010Journal of Pierre Fauchard Academy (India Section)2010,24,2:1
3Statistical optimization of the medium components by response surface methodology to enhance phytase production by Pichia anomala 显示文摘Ashima V Nathalie G 2002Process Biochemistry2002,,37:1
4Statistical optimization of the medium components by response surface methodology to enhance phytase production by Pichia anomala 显示文摘Ashima V Nathalie G 2002Process Biochem2002,,37:1
5Skeletal response tomaxillary protraction with and without maxillaey expan- sion:a finite element study显示文摘Pawan G Ashima V Raviraj A 2009Am J Orthod2009,135,6:1
6Statistical optimization of the medium components by response surface methodology to enhance phytase pro- duction by Pichia anomala 显示文摘Ashima V Nathalie G 2002Process Biochemistry2002,37,:1
7Zirconia crowns for rehabilitation of decayed primary incisors: an esthetic ahemative显示文摘Ashima G Sarabjot KB Gauba K 2014J Clin Pediatr Dent2014,39,1:1
8Aprevalence of maloccluslon and abnormal oral habhs in North Indian rural children 显示文摘Guaba K Ashima G Tewari 1998J Indian Soc Pedod Prev Dent1998,16,1:1
9Validation of a pediatric bedside tool to predict time to death after withdrawal of life support显示文摘AIM: To evaluate the accuracy of a tool developed to predict timing of death following withdrawal of life support in children. METHODS: Pertinent variables for all pediatric deaths(age ≤ 21 years) from 1/2009 to 6/2014 in our pediatric intensive care unit(PICU) were extracted through a detailed review of the medical records. As originally described, a recently developed tool that predicts timing of death in children following withdrawal of life support(dallas predictor tool [DPT]) was used to calculate individual scores for each patient. Individual scores were calculated for prediction of death within 30 min(DPT30) and within 60 min(DPT60). For various resulting DPT30 and DPT60 scores, sensitivity, specificity and area under the receiver operating characteristic curve were calculated.RESULTS: There were 8829 PICU admissions resulting in 132(1.5%) deaths. Death followed withdrawal of life support in 70 patients(53%). After excluding subjects with insufficient data to calculate DPT scores, 62 subjects were analyzed. Average age of patients was 5.3 years(SD: 6.9), median time to death after withdrawal oflife support was 25 min(range; 7 min to 16 h 54 min). Respiratory failure, shock and sepsis were the most common diagnoses. Thirty-seven patients(59.6%) died within 30 min of withdrawal of life support and 52(83.8%) died within 60 min. DPT30 scores ranged from-17 to 16. A DPT30 score ≥-3 was most predictive of death within that time period, with sensitivity = 0.76, specificity = 0.52, AUC = 0.69 and an overall classification accuracy = 66.1%. DPT60 scores ranged from-21 to 28. A DPT60 score ≥-9 was most predictive of death within that time period, with sensitivity = 0.75, specificity = 0.80, AUC = 0.85 and an overall classification accuracy = 75.8%.CONCLUSION: In this external cohort, the DPT is clinically relevant in predicting time from withdrawal of life support to death. In our patients, the DPT is more useful in predicting death within 60 min of withdrawal of life support than within 30 min. Furthermore, our analysis suggests optimal cut-off scores. Additional calibration and modifications of this important tool could help guide the intensive care team and families considering DCD.Ashima Das Ingrid M Anderson David G Speicher Richard H Speicher Steven L Shein Alexandre T Rotta 2016World Journal of Clinical Pediatrics2016,5,1:0
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