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Blood urea nitrogen in the early assessment of acute pancreatitis: an international validation study.

机译:血尿素氮的早期评估急性胰腺炎:国际验证研究。

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BACKGROUND: Objective assessment of acute pancreatitis (AP) is critical to help guide resuscitation efforts. Herein we (1) validate serial blood urea nitrogen (BUN) measurement for early prediction of mortality and (2) develop an objective BUN-based approach to early assessment in AP. METHODS: We performed a secondary analysis of 3 prospective AP cohort studies: Brigham and Women's Hospital (BWH), June 2005 through May 2009; the Dutch Pancreatitis Study Group (DPSG), March 2004 through March 2007; and the University of Pittsburgh Medical Center (UPMC), June 2003 through September 2007. Meta-analysis and stratified multivariate logistic regression adjusted for age, sex, and creatinine levels were calculated to determine risk of mortality associated with elevated BUN level at admission and rise in BUN level at 24 hours. The accuracy of the BUN measurements was determined by area under the receiver operating characteristic curve (AUC) analysis compared with serum creatinine measurement and APACHE II score. A BUN-based assessment algorithm was derived on BWH data and validated on the DPSG and UPMC cohorts. RESULTS: A total of 1043 AP cases were included in analysis. In pooled analysis, a BUN level of 20 mg/dL or higher was associated with an odds ratio (OR) of 4.6 (95% confidence interval [CI], 2.5-8.3) for mortality. Any rise in BUN level at 24 hours was associated with an OR of 4.3 (95% CI, 2.3-7.9) for death. Accuracy of serial BUN measurement (AUC, 0.82-0.91) was comparable to that of the APACHE II score (AUC, 0.72-0.92) in each of the cohorts. A BUN-based assessment algorithm identified patients at increased risk for mortality during the initial 24 hours of hospitalization. CONCLUSIONS: We have confirmed the accuracy of BUN measurement for early prediction of mortality in AP and developed an algorithm that may assist physicians in their early resuscitation efforts.
机译:背景:急性的客观评估胰腺炎(美联社)来指导是至关重要的复苏的努力。连续血液尿素氮(BUN)测定早期预测死亡率和(2)开发一个客观BUN-based早期评估方法在美联社。方法:我们进行了二次分析3未来的美联社队列研究:布莱根女子医院(BWH), 2005年6月至5月2009;2004年3月到2007年3月;匹兹堡医疗中心(UPMC), 2003年6月2007年9月通过。分层多元逻辑回归调整年龄、性别、和肌酐水平计算以确定死亡风险的影响与包水平升高相关入学并在24小时内包水平上升。包子的测量由区域决定接受者操作特性曲线(AUC)分析与血清肌酐测量和APACHE II评分。评估算法在BWH数据和导出验证DPSG和UPMC军团。总共有1043 AP病例纳入分析。mg / dL或更高的优势比有关(或)为4.6(95%可信区间(CI),2.5 - -8.3)的死亡率。24小时或4.3 (95%CI, 2.3 - -7.9)死亡。测量(AUC, 0.82 - -0.91)相媲美APACHEⅱ评分(AUC, 0.72 - -0.92)每一个组。算法识别高危病人在最初的24小时的死亡率住院治疗。包测量早期的准确性预测死亡率在美联社和发达算法,可以帮助医生在他们早期复苏的努力。

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