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Development and validation of a risk stratification index to predict death in gastroschisis,

https://doi.org/10.1016/j.jpedsurg.2007.01.028Get rights and content

Abstract

Background

Gastroschisis is a rare congenital anomaly, the improved surgical management of which has contributed to a survival rate greater than 90%. Development of an accurate risk stratification system to help identify the subset of patients at greatest risk for death may lead to further improvements in outcome.

Methods

Infants with gastroschisis were identified from 16 years of the National Inpatient Sample database and the Kids' Inpatient Database using the International Classification of Diseases, Ninth Revision, Clinical Modification procedure code 54.71 (repair of gastroschisis) and an age of less than 8 days. Logistic regression analysis determined which coexisting diagnoses were significantly associated with death. Odds ratios from the logistic regression model were simplified and used as weighting factors to create an additive index. The index was validated using the 2003 Kids' Inpatient Database data set.

Results

Intestinal atresia, necrotizing enterocolitis, rare cardiac anomalies, and lung hypoplasia were strongly associated with death and used to create a scoring system with a potential range of 0 to 10. Every point increase on the scale of gastroschisis risk stratification index is associated with a 95% relative increase in the likelihood of death.

Conclusion

We have developed a novel index, which is superior to previous classification systems in identifying patients with gastroschisis who are at highest risk for death.

Section snippets

Methods

An exemption from institutional review board review was obtained from the Johns Hopkins Medicine Institutional Review Board.

Results

In total, we identified 4310 patients with an ICD-9-CM procedure code “repair of gastroschisis” and an age of admission of less than 8 days. Of these, 3330 were identified from 1988 through 2002 (creation data set), and 980 were identified from 2003 (validation data set). Overall inpatient mortality was 3.5% (149/4310).

Univariable and multivariate logistic regression were applied to the creation data set, and 4 covariates that are diagnosed at or soon after birth were identified as highly

Discussion

Risk stratification schemes in medicine are often developed by expert panels. These scaling systems, however, are often nonlinear and may not be validated when applied to large data sets of patients [26]. Developing prediction scales and risk stratification schemes by converting risk factors identified through logistic regression modeling may be a better approach and has already been applied to screening for child abuse and predicting the risk of death after carotid endarterectomy [27], [29],

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    Dr Arnold is supported with a K12 grant (1K12 RR017627) from July 1, 2005, through June 30, 2007.

    Papers presented at the 58th Annual Meeting of the Section on Surgery of the American Academy of Pediatrics.

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