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坏死性小肠结肠炎与自发性肠穿孔:一项时空病例聚集分析

Necrotizing Enterocolitis and Spontaneous Intestinal Perforation: A Spatiotemporal Case Cluster Analysis.

作者信息

Murphy Thomas, Yang Samuel, Tucker Richard, Collyer Hillary, Kurkchubasche Arlet G, Bender Jesse

机构信息

Department of Pediatrics, Women & Infants Hospital, Alpert Medical School of Brown University.

Division of Pediatric Surgery, Hasbro Children's Hospital, Alpert Medical School of Brown University, Providence, RI.

出版信息

Pediatr Qual Saf. 2019 Jan 4;4(1):e127. doi: 10.1097/pq9.0000000000000127. eCollection 2019 Jan-Feb.

Abstract

OBJECTIVE

To expand existing statistical methods to identify clusters of necrotizing enterocolitis (NEC) and spontaneous intestinal perforation (SIP) cases in the neonatal intensive care unit.

METHODS

In an academic, tertiary referral center, possible NEC or SIP clusters were identified using a binomial distribution scan test. The incidence-density rate (IDR) was calculated as the number of cases per 1,000 patient-days during each possible cluster and compared with the baseline IDR. A structured chart review compared cluster and noncluster cases. Spatial clustering analyzed the physical distribution of cases using the Grimson Test. Repeat analysis included only SIP cases.

RESULT

The initial scan identified 3 suspected temporal clusters. IDR comparison confirmed only 1 cluster. Analysis of SIP only cases revealed similar results. Physical proximity was not a significant factor. Chart review of the SIP and NEC cases revealed significant increases during the confirmed cluster of small for gestational age infant births and indomethacin treatment. Chart review of the SIP only cases in the confirmed cluster revealed no significant differences.

CONCLUSION

Statistical methods distinguish whether suspected case clusters represent a significant increase in baseline incidence. True clusters warrant detailed investigation including spatial analysis and chart review. This approach may have application in other disease processes and populations.

摘要

目的

扩展现有统计方法,以识别新生儿重症监护病房中坏死性小肠结肠炎(NEC)和自发性肠穿孔(SIP)病例的聚集情况。

方法

在一家学术性三级转诊中心,使用二项分布扫描检验识别可能的NEC或SIP聚集情况。计算每个可能聚集期内每1000患者日的发病率密度率(IDR),并与基线IDR进行比较。通过结构化图表审查比较聚集病例和非聚集病例。空间聚集分析使用格林森检验分析病例的实际分布情况。重复分析仅纳入SIP病例。

结果

初始扫描识别出3个疑似时间聚集。IDR比较仅确认了1个聚集。仅对SIP病例的分析得出了类似结果。实际邻近性不是一个显著因素。对SIP和NEC病例的图表审查显示,在确认的聚集期内,小于胎龄儿出生和吲哚美辛治疗期间病例显著增加。对确认聚集中仅SIP病例的图表审查未发现显著差异。

结论

统计方法可区分疑似病例聚集是否代表基线发病率的显著增加。真正的聚集需要进行详细调查,包括空间分析和图表审查。这种方法可能适用于其他疾病过程和人群。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f483/6426488/3e637f7aa9c1/pqs-4-e127-g002.jpg

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