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AIRP best cases in radiologic-pathologic correlation: Malignant phyllodes tumor with osteosarcomatous differentiation

机译:AIRP放射-病理学相关性最佳案例:恶性叶状肿瘤伴骨肉瘤分化

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OBJECTIVE: To assess outcomes and costs of dyads achieving elective induction bundle criteria with a favorable Bishop score. STUDY DESIGN: In a historical automated recordsbased cohort study, 180 dyads undergoing elective induction bundling at a single institution from 2009 to 2010 were compared to a pre-introduction of bundling cohort. The bundled cohort was then compared by Bishop score. RESULTS: The bundled cohort (n=180) had a lower cesarean delivery rate (12% vs. 21%, p = 0.01), but neonatal special or intensive care admissions were not statistically significant compared to the pre-introduction of bundling cohort (n = 473). Ninety-six percent (n = 173) of the bundled cohort achieved bundle criteria. Those with a Bishop score > 6 (52%, n=90) had fewer cesarean deliveries (4% vs. 19%, p = 0.003), fewer neonatal special or intensive care admissions (1% vs. 10%, p=0.015), shorter induction time to vaginal delivery (8.8 vs. 17 hrs, p<0.001), fewer cesareans for dystocia (75% vs. 94%, p=0.002) or fetal heart rate abnormalities (25% vs. 50%, p=0.015), and had one-sixth the average net income lost ($423 vs. $2,600, p<0.001) compared to bundle achievers with a Bishop score of ≤ 6. CONCLUSION: The elective induction bundle does not guarantee quality and should require favorable cervix instead of documented Bishop score to proceed with induction.
机译:目的:评估通过选择的Bishop评分达到选修诱导束标准的二元组的结果和成本。研究设计:在一项基于历史记录的自动队列研究中,将2009年至2010年在单个机构中接受选拔归纳捆绑的180个二元组与预先引入捆绑的队列进行了比较。然后通过Bishop得分比较捆绑的队列。结果:捆绑队列(n = 180)的剖腹产率较低(12%比21%,p = 0.01),但与引入捆绑队列之前相比,新生儿特殊或重症监护入院率没有统计学意义( n = 473)。捆绑队列中百分之九十六(n = 173)达到了捆绑标准。 Bishop得分> 6的患者(52%,n = 90)剖腹产较少(4%比19%,p = 0.003),新生儿特殊或重症监护病房较少(1%比10%,p = 0.015) ),较短的阴道分娩诱导时间(8.8 vs. 17 hrs,p <0.001),较少的剖宫产难产(75%vs. 94%,p = 0.002)或胎儿心率异常(25%vs. 50%,p = 0.015),并且与Bishop得分≤6的捆绑实现者相比,平均净收入减少了六分之一($ 423对比$ 2,600,p <0.001)。结论:选修的诱导捆绑不能保证质量,应该要求优惠子宫颈而不是有记录的Bishop评分来进行归纳。

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