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Predictors of length of stay for simple gastroschisis: analysis of ACS NSQIP-P database

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Abstract

Purpose

We aimed to assess predictors of length of stay for simple gastroschisis utilizing the NSQIP-Pediatric Database.

Methods

The NSQIP-P Participant Use Data File was queried to identify patients with simple gastroschisis. We defined short length of stay (LOS) as patients discharged home ≤ 30 days from birth. We compared patients with short LOS versus prolonged LOS > 30 days. Predictors and outcomes were evaluated.

Results

There were 888 patients with simple gastroschisis identified. Half of patients had LOS ≤ 30 days. Patients with LOS ≤ 30 were younger at repair (median age 1 day vs. 3 days, p = 0.0001), had higher birth weight (median 2.5 kg vs. 2.4 kg, p = 0.0001), and were less premature (37 week vs. 36 weeks, p = 0.0001). However, only gestational age and weight at birth were significant predictors of LOS on multivariate analysis (p = 0.0001). Prolonged LOS patients had more instances of ventilation, oxygen supplementation, sepsis (n = 2/446 or 0.4% vs. n = 9/442 or 2%, p = 0.003), bleeding/transfusion (n = 7/446 or 1.6% vs. n = 43/442 or 9.7%, p = 0.0001), line infections (n = 1/446 or 0.2% vs. n = 12/442, p = 0.001), and reoperations (n = 9/446 or 2% vs. n = 26/442 or 5.9%, p = 0.003).

Conclusion

Prematurity and birth weight are significant predictors of length of stay in simple gastroschisis patients. Prenatal counseling should continue to be one of the main factors to improve the outcomes for patients with gastroschisis.

Type of study Retrospective cohort study.

Level of evidence Level IV.

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Financial support

No financial support was granted this study. All authors have no financial support to disclose.

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Authors and Affiliations

Authors

Contributions

Conceptualization: Gustavo Villalona; Methodology: Gustavo Villalona, Adam Bajinting; Data Acquisition: Pattamon Sutthatarn, Hector Osei, Armando Salim Munoz Abraham, Adam Bajinting; Formal analysis and investigation: Adam Bajinting; Writing—original draft preparation: Adam Bajinting; Writing—review and editing: Adam Bajinting, Gustavo Villalona; Supervision: Gustavo Villalona.

Corresponding author

Correspondence to Adam Bajinting.

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Competing interests

All authors declare no competing interests.

Compliance and ethical standards

Saint Louis University IRB does not require IRB approval or exemption to use the ACS NSQIP-P Database, since it is a secondary-deidentified-publicly available data, and it does not meet their definition of Human Subjects Research.

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Bajinting, A., Sutthatarn, P., Osei, H. et al. Predictors of length of stay for simple gastroschisis: analysis of ACS NSQIP-P database. Pediatr Surg Int 38, 1371–1376 (2022). https://doi.org/10.1007/s00383-022-05189-w

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