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Prediction of delayed graft function using different scoring algorithms: A single-center experience 被引量:3
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作者 Magda Michalak kristien wouters +13 位作者 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 《World Journal of Transplantation》 2017年第5期260-268,共9页
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 ki... 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. 展开更多
关键词 DELAYED GRAFT function KIDNEY TRANSPLANTATION NOMOGRAM Receiver operating characteristic CURVE Risk calculation
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Practice Environment, Work Characteristics and Levels of Burnout as Predictors of Nurse Reported Job Outcomes, Quality of Care and Patient Adverse Events: A Study across Residential Aged Care Services 被引量:1
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作者 Peter Van Bogaert Tinne Dilles +1 位作者 kristien wouters Bart Van Rompaey 《Open Journal of Nursing》 2014年第5期343-355,共13页
To understand how to create a stabile workforce achieving excellent quality of care and patient safety, associations between practice environments and nurse and patient outcomes have been widely studied in acute and p... To understand how to create a stabile workforce achieving excellent quality of care and patient safety, associations between practice environments and nurse and patient outcomes have been widely studied in acute and psychiatric care hospitals. Knowing residential aged care services are challenged to tackle complex patients’ needs within certain working conditions, to what extent do nurses perceive their practice environment in geriatric care? In a cross-sectional survey, a sample of 709 registered nurses, licensed practical nurses and nurse aides employed in 25 residential aged care services completed a structured questionnaire composed of various validated instruments measuring nurse practice environment factors, nurse work characteristics, burnout, nurse reported job outcomes, quality and patient adverse events. Associations between variables across residential aged care services were examined using multilevel modelling techniques. Associations were identified between practice environment factors, work characteristics, burnout dimensions, and reported outcome variables across residential aged care services. Multiple multilevel models showed independent variables (nursing management at the unit level, workload, decision latitude, social capital, emotional exhaustion and depersonalization) as important predictors of nurse reported outcome (job satisfaction, turnover intensions), quality of care (at the unit, the last shift, and in the service within the last year) and patient adverse events (patient and family complaints, patient falls, pulmonary and urinary tract infections, and medications errors). Results suggested the importance of nurse practice environment factors, nurse work characteristics and perception of burnout on nurse and patient outcomes across their nurse practice environment. Challenging the complex care of a vulnerable and frail population executives, physicians, nursing leaders as well as nurses in their nurse practice environment shared responsibility to create working conditions achieving excellent quality and patient safety. 展开更多
关键词 BURNOUT Job SATISFACTION NURSE Practice Environment Quality of CARE Residential Aged CARE MULTILEVEL Modelling
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