Journal of Translational Medicine | |
Evaluation of SLOG/TCI-III pediatric system on target control infusion of propofol | |
Xiangdong Wang4  Yong-fang Yuan1  Qiu-wei Fan2  Juan Li3  Bing Chen3  Hong-bin Gu5  Wan-hua Yang3  | |
[1] Department of Pharmacy, The Third Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 201900, China;Department of Anesthesiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China;Department of Pharmacy, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China;Department of Respiratory Medicine, Fudan University Zhongshan Hospital, China;Department of Anesthesiology, Shanghai Children′s Medical Centre, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China | |
关键词: drug delivery system, pediatric, evaluation; high performance liquid chromatography; plasma concentration; Propofol; | |
Others : 1207831 DOI : 10.1186/1479-5876-9-187 |
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received in 2011-07-15, accepted in 2011-11-01, 发布年份 2011 | |
【 摘 要 】
Background
The target-controlled infusion-III (SLOG/TCI-III) system was derived from a model set up by the local pediatric population for target control infusion of propofol.
Methods
The current study aimed at evaluating the difference between target concentrations of propofol and performance, which was measured using the SLOG/TCI-III system in children. Thirty children fulfilling the I-II criteria according to American Society of Anesthesiology were enrolled in the study. The target plasma concentration of propofol was fed into the SLOG/TCI-III system and compared with the measured concentrations of propofol. Blood samples were collected and analyzed by high performance liquid chromatography with fluorescence detector. The performance error (PE) was determined for each measured blood propofol concentration. The performances of the TCI-III system were determined by the median performance error (MDPE), the median absolute performance error (MDAPE), and Wobble (the median absolute deviation of each PE from the MDPE), respectively.
Results
Concentration against target concentration showed good linear correlation: concentration = 1.3428 target concentration - 0.2633 (r = 0.8667). The MDPE and MDAPE of the pediatric system were 10 and 22%, respectively, and the median value for Wobble was 24%. MDPE and MDAPE were less than 15 and 30%, respectively.
Conclusions
The performance of TCI-III system seems to be in the accepted limits for clinical practice in children.
【 授权许可】
2011 Yang et al; licensee BioMed Central Ltd.
【 预 览 】
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【 图 表 】
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【 参考文献 】
- [1]Yonglei H, Jie Z, Mazhong Z: Selection of pharmacokinetic model of continuous infusion of Propofol. J Clin Anesthesiology 2005, 21:147.
- [2]Li YH, Rui JZ, Zhou YG, Wang LQ, Fu SE, Yang JJ, Liu FK, Hu SY, Wen Q, Xu JG: Population pharmacokinetics of Propofol in Chinese patients. Acta Pharmacol Sin 2003, 24:581-8.
- [3]Ye HB, Zheng H, Zhang XA, Chi XJ, Chen WY, Xu JG, Li JH, Rui JZ: Population pharmacokinetic modeling and evaluation of propofol from multiple centers. Yao Xue Xue Bao 2010, 45:1550-8.
- [4]Liu N, Chazot T, Hamada S, Landais A, Boichut N, Dussaussoy C, Trillat B, Beydon L, Samain E, Sessler DI, Fischler M: Closed-loop coadministration of propofol and remifentanil guided by bispectral index: a randomized multicenter study. Anesth Analg 2011, 112:546-57.
- [5]Anderson BJ: Pediatric models for adult target-controlled infusion pumps. Paediatr Anaesth 2010, 20:223-32.
- [6]Absalom A, Amutike D, Lal A, White M, Kenny GN: Accuracy of the'Paedfusor'in children undergoing cardiac surgery or catheterization. Br J Anaesth 2003, 91:507-12.
- [7]Wang XD, Wang E, Marincola FM: Translational Medicine is developing in China: a new venue for collaboration. J Transl Med 2011, 9:3. BioMed Central Full Text
- [8]Wang XD, Liotta L: Clinical bioinformatics: a new emerging science. J Clin Bioinforma 2011, 1:1. BioMed Central Full Text
- [9]Baumgartner C, Osl M, Netzer M, Baumgartner D: Bioinformatic-driven search for metabolic biomarkers in disease. J Clin Bioinforma 2011, 1:2. BioMed Central Full Text
- [10]Varvel JR, Donoho DL, Shafer SL: Measuring the predictive performance of computer-controlled infusion pumps. J Pharmacokinet Biopharm 1992, 20:63-94.
- [11]Kim HS, Park HJ, Kim CS, Lee JR: Combination of propofol and remifentanil target-controlled infusion for laryngeal mask airway insertion in children. Minerva Anestesiol 2011, 77:687-92.
- [12]Rehberg B, Ryll C, Hadzidiakos D, Baars J: Use of a target-controlled infusion system for propofol does not improve subjective assessment of anaesthetic depth by inexperienced anaesthesiologists. Eur J Anaesthesiol 2007, 24:920-6.
- [13]Kataria BK, Ved SA, Nicodemus HF, Hoy GR, Lea D, Dubois MY, Mandema JW, Shafer SL: The pharmacokinetics of Propofol in children using three different data analysis approaches. Anesthesiology 1994, 80:104-22.
- [14]Murat I, Billard V, Vernois J, Zaouter M, Marsol P, Souron R, Farinotti R: Pharmacokinetics of Propofol after a single dose in children aged 1-3 years with minor burns. Comparison of three data analysis approaches. Anesthesiology 1996, 84:526-32.
- [15]Li YH, Xu JH, Yang JJ, Tian J, Xu JG: Predictive performance of'Diprifusor'TCI system in patients during upper abdominal surgery under Propofol/fentanyl anesthesia. J Zhejiang Univ Sci B 2005, 6:43-8.
- [16]Janda M, Simanski O, Bajorat J, Pohl B, Noeldge-Schomburg GF, Hofmockel R: Clinical evaluation of a simultaneous closed-loop anaesthesia control system for depth of anaesthesia and neuromuscular blockade. Anaesthesia 2011.
- [17]Gambús PL, Jensen EW, Jospin M, Borrat X, Martínez Pallí G, Fernández-Candil J, Valencia JF, Barba X, Caminal P, Trocóniz IF: Modeling the effect of propofol and remifentanil combinations for sedation-analgesia in endoscopic procedures using an Adaptive Neuro Fuzzy Inference System (ANFIS). Anesth Analg 2011, 112:331-9.
- [18]Chen X, Thee C, Gruenewald M, Wnent J, Illies C, Hoecker J, Hanss R, Steinfath M, Bein B: Comparison of surgical stress index-guided analgesia with standard clinical practice during routine general anesthesia: a pilot study. Anesthesiology 2010, 112:1175-83.
- [19]Marincola FM: The trouble with translational medicine. J Intern Med 2011, 270:123-7.
- [20]Garber K: Psoriasis: from bed to bench and back. Nat Biotechnol 2011, 29:563-6.
- [21]Bedognetti D, Balwit JM, Wang E, Disis ML, Britten CM, Delogu LG, Tomei S, Fox BA, Gajewski TF, Marincola FM, Butterfield LH: SITC/iSBTc Cancer Immunotherapy Biomarkers Resource Document: Online Resources and Useful Tools - A Compass in the Land of Biomarker Discovery. J Transl Med 2011, 9:155. BioMed Central Full Text
- [22]Kalos M: Biomarkers in T cell therapy clinical trials. J Transl Med 2011, 9:138. BioMed Central Full Text
- [23]Harmon CS, Deprimo SE, Raymond E, Cheng AL, Boucher E, Douillard JY, Lim HY, Kim JS, Lechuga MJ, Lanzalone S, Lin X, Faivre S: Mechanism-related circulating proteins as biomarkers for clinical outcome in patients with unresectable hepatocellular carcinoma receiving sunitinib. J Transl Med 2011, 9:120. BioMed Central Full Text
- [24]Nomura M, Fukuda T, Fujii K, Kawamura T, Tojo H, Kihara M, Bando Y, Gazdar AF, Tsuboi M, Oshiro H, Nagao T, Ohira T, Ikeda N, Gotoh N, Kato H, Marko-Varga G, Nishimura T: Preferential expression of potential markers for cancer stem cells in large cell neuroendocrine carcinoma of the lung. An FFPE proteomic study. J Clin Bioinforma 2011, 1:23. BioMed Central Full Text
- [25]Lee IH, Lushington GH, Visvanathan M: A filter-based feature selection approach for identifying potential biomarkers for lung cancer. J Clin Bioinforma 2011, 1:11. BioMed Central Full Text
- [26]Rezeli M, Végvári A, Fehniger TE, Laurell T, Marko-Varga G: Moving towards high density clinical signature studies with a human proteome catalogue developing multiplexing mass spectrometry assay panels. J Clin Bioinforma 2011, 1:7. BioMed Central Full Text