Department of Abdominal Ultrasound, The Affiliated Hospital of Qingdao University, No. 16 Jiangsu Road, Qingdao, 266003 Shandong Province, China.
Department of Physical Diagnostics, West Hospital District of Qingdao Multicipal Hospital, No. 2 Chaocheng Road, Qingdao, 266002 Shandong Province, China.
Clin Res Hepatol Gastroenterol. 2022 Nov;46(9):102020. doi: 10.1016/j.clinre.2022.102020. Epub 2022 Sep 12.
We intended to investigate the predictors for bowel resection in infants with necrotizing enterocolitis (NEC). We further developed a scoring system for better predicting bowel resection.
A total of 207 infants who underwent surgical management at Children's Hospital, Chongqing Medical University between April 2008 and December 2020 were identified for the following investigation. Bowel resection was reviewed among the infants who underwent the procedure. Potential parameters related to bowel resection were explored using a multiple logistic regression method, and then a scoring system was developed.
Among the 207 patients who underwent operative intervention that were reviewed, 109 infants underwent bowel resection. Multivariate logistic regression analysis showed that birth weight, hypotension, neutropenia, pneumoperitoneum, acidosis, and intestinal wall thickness were predictors related to the occurrence of bowel resection. A 6-point scoring system was further developed based on the obtained total coefficient, and the infants could be divided into low-, moderate- and high-risk groups according to cut values of 7 and 13.
The results of this study demonstrated that severe NEC features and low birth weight were associated with bowel resection. The risk scoring system could accurately separate infants that were suspected to have bowel loss during surgery.
本研究旨在探讨新生儿坏死性小肠结肠炎(NEC)患儿行肠切除术的预测因素,并进一步建立评分系统以更好地预测肠切除术。
回顾性分析 2008 年 4 月至 2020 年 12 月在重庆医科大学附属儿童医院接受外科治疗的 207 例患儿的临床资料。对接受该手术的患儿进行肠切除分析。采用多因素 logistic 回归方法探讨与肠切除相关的潜在参数,并建立评分系统。
在接受手术干预的 207 例患儿中,109 例行肠切除术。多因素 logistic 回归分析显示,出生体重、低血压、中性粒细胞减少、气腹、酸中毒和肠壁厚度是与肠切除相关的预测因素。进一步根据获得的总系数建立了 6 分评分系统,根据截断值 7 和 13 将患儿分为低危、中危和高危组。
本研究结果表明,严重 NEC 特征和低出生体重与肠切除相关。风险评分系统可准确区分术中疑似肠丢失的患儿。