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11篇 您的检索式：作者名="Kristien M"

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		题名	作者	年代	出处	被引量
	1	Adenoma detection with cap-assisted colonoscopy versus regular colonoscopy: a randomised controlled trial显示文摘	Thomas R de Wijkerslooth Esther M Stoop Patrick M Bossuyt Elisabeth M H Mathus-Vliegen Jan Dees Kristien M A J Tytgat Monique E van Leerdam Paul Fockens Ernst J Kuipers Evelien Dekker	2012	Gut2012，，10：	3
	2	Prediction of delayed graft function using different scoring algorithms: A single-center experience显示文摘AIM To compare the performance of 3 published delayed graftfunction(DGF) calculators that compute the theoretical risk of DGF for each patient.METHODS This single-center,retrospective study included 247 consecutive kidney transplants from a deceased donor.These kidney transplantations were performed at our institution between January 2003 and December 2012.We compared the occurrence of observed DGF in our cohort with the predicted DGF according to three different published calculators. The accuracy of the calculators was evaluated by means of the c-index(receiver operating characteristic curve).RESULTS DGF occurred in 15.3% of the transplants under study.The c index of the Irish calculator provided an area under the curve(AUC) of 0.69 indicating an acceptable level of prediction,in contrast to the poor performance of the Jeldres nomogram(AUC = 0.54) and the Chapal nomogram(AUC = 0.51). With the Irish algorithm the predicted DGF risk and the observed DGF probabilities were close. The mean calculated DGF risk was significantly different between DGF-positive and DGF-negative subjects(P < 0.0001). However,at the level of the individual patient the calculated risk of DGF overlapped very widely with ranges from 10% to 51% for recipients with DGF and from 4% to 56% for those without DGF.The sensitivity,specificity and positive predictive value of a calculated DGF risk ≥ 30% with the Irish nomogram were 32%,91% and 38%. CONCLUSION Predictive models for DGF after kidney transplantation are performant in the population in which they were derived,but less so in external validations.	Magda Michalak Kristien Wouters Erik Fransen Rachel Hellemans Amaryllis H Van Craenenbroeck Marie M Couttenye Bart Bracke Dirk K Ysebaert Vera Hartman Kathleen De Greef Thiery Chapelle Geert Roeyen Gerda Van Beeumen Marie-Paule Emonds Daniel Abramowicz Jean-Louis Bosmans	2017	World Journal of Transplantation2017，7，5：	3
	3	Kinetic analysis and modelling of combined high pressure temperature inactivation of the yeast Zygosaccharomyces bailii 显示文摘	Kristien M F A Reyns Carine C F Soontjens Kris Cornelis	2000	International Journal of Food Microbiology2000，56，：	1
	4	Kinetic analysis and modeling of combined high-pressure-temperature inactivation of the yeast Zygosaccharomyces bailii 显示文摘	Kristien M F Carine C F Kris C	2000	Food Microbiology2000，56，：	1
	5	Kinetic analysis and modelling of combined high-pressure-temperature inactivation of the yeast Zygosaccharomyces bailii显示文摘	Carine C F S Kris C	2000	International Journal of Food Microbiology2000，56，：	1
	6	Cardiac troponins I and T are biological markers of left ventricular dysfunction in septic shock显示文摘	Kristien M Ver E Herbert D	2000	Clin Chem2000，46，5：	1
	7	Prediction of the optimal picking date of different apple cuhivars by means of VIS/NIR spectroscopy 显示文摘	Peirs Ann Lammertyn Jeroen Ooms Kristien Nicola B M	2000	Postharvest Biology and Technology2000，21，：	1
	8	Cardiac troponin I and T are biological markers of left ventricular dysfunction in septic shock 显示文摘	Kristien M Herbert D Nguyen DN	2000	Clin Chem2000，46，5：	1
	9	Cardiac troponin I and T are biological markers of left ventricular dysfunction in septic shock显示文摘	Kristien M Herbert D Nguyen DN	2000	Clin Chem2000，46，：	1
	10	Kinetic Analysis and Modelling of Combined High-Pressure-Temperature Inactivation of the Yeast Zygosaccharomyces bailii显示文摘	Kristien M Carine C Kris C	2000	Int Food Microbiology2000，56，：	1
	11	Kinetic analysis and modelling of combined high-pressure-tempera ture inactivation of the yeast Zygosaccharomyces bailii显示文摘	Kristien M F A R Carine C F S Kris C	2000	International Journal of Food Microbiology2000，56，：	1

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