Gonzalez-Hernandez Jessica, Prajapati Purvi, Ogola Gerald, Channabasappa Nandini, Drews Barbara, Piper Hannah G
Department of Surgery, Baylor University Medical Center, Dallas, TX, USA.
Office of the Chief Quality Officer, Baylor Scott and White Health, Dallas, TX, USA.
J Pediatr Surg. 2017 May;52(5):764-767. doi: 10.1016/j.jpedsurg.2017.01.038. Epub 2017 Jan 29.
Parenteral nutrition (PN) contributes to considerable morbidity in children after significant bowel resection. This study evaluates the utility of clinical variables in predicting time to independence from PN.
After IRB approval, a retrospective review (1999-2012) of 71 children who were on PN for >6weeks after intestinal resection and successfully weaned was performed. Clinical characteristics were evaluated to determine the relationship to time to full enteral nutrition. P-values<0.05 were significant.
Most children had necrotizing enterocolitis (56%), intestinal atresia (20%), or gastroschisis (11%) with a median small bowel length of 55cm (IQR, 35-92cm). The duration of PN was independent of the etiology of intestinal loss, presence of the ileocecal valve or colon, or location of anastomosis, but was strongly associated with small bowel length (<0.01) and percent of expected small bowel based on gestational age (GA) (median 50%, <0.01). In general, children who had 25-50% of their small bowel were dependent on PN for at least 2years compared to approximately 1year for those with 51-75%.
The duration of PN dependence in children after major bowel resection is best predicted by remaining small bowel length and can be estimated using a linear regression model.
2b.
肠外营养(PN)在儿童行大段肠切除术后会导致相当高的发病率。本研究评估临床变量在预测脱离PN时间方面的效用。
经机构审查委员会(IRB)批准,对71例肠切除术后接受PN超过6周且成功撤机的儿童进行回顾性研究(1999 - 2012年)。评估临床特征以确定其与完全肠内营养时间的关系。P值<0.05具有统计学意义。
大多数儿童患有坏死性小肠结肠炎(56%)、肠闭锁(20%)或腹裂(11%),小肠中位长度为55cm(四分位间距,35 - 92cm)。PN持续时间与肠丢失病因、回盲瓣或结肠的存在与否或吻合口位置无关,但与小肠长度(<0.01)及基于胎龄(GA)的预期小肠百分比密切相关(中位值50%,<0.01)。一般来说,保留25% - 50%小肠的儿童依赖PN至少2年,而保留51% - 75%小肠的儿童则约为1年。
大段肠切除术后儿童依赖PN的持续时间最好通过剩余小肠长度来预测,并且可以使用线性回归模型进行估计。
2b。