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30.08.2018 | Original Scientific Report | Ausgabe 1/2019

World Journal of Surgery 1/2019

Predicting Survival of Congenital Diaphragmatic Hernia on the First Day of Life

Zeitschrift:
World Journal of Surgery > Ausgabe 1/2019
Autoren:
Chaeyoun Oh, Joong Kee Youn, Ji-Won Han, Hee-Byum Yang, Sanghoon Lee, Jeong-Meen Seo, In Geol Ho, Soo-Hong Kim, Yong Hoon Cho, Seung Han Shin, Hyun-Young Kim, Sung-Eun Jung

Abstract

Background

This study aimed to determine perinatal risk factors for 30-day mortality of congenital diaphragmatic hernia (CDH) patients and develop a prognostic index to predict 30-day mortality of CDH patients. Identifying risk factors that can prognosticate outcome is critical to obtain the best management practices for patients.

Methods

A retrospective study was performed for patients who were diagnosed with CDH from November 2000 to August 2016. A total of 10 prenatal risk factors and 14 postnatal risk factors were analyzed. All postnatal variables were measured within 24 h after birth.

Results

A total of 95 CDH patients were enrolled in this study, including 61 males and 34 females with mean gestational age of 38.86 ± 1.51 weeks. The overall 30-day survival rate was 63.2%. Multivariate analysis revealed that five factors (polyhydramnios, gestational age at diagnosis <25 weeks, observed-to-expected lung-to-head ratio ≤45, best oxygenation index in 24 h  >11, and severity of tricuspid regurgitation ≥ mild) were independent predictors of 30-day mortality of CDH. Using these five factors, a perinatal prognostic index for 30-day mortality was developed. Four predictive models (poor, bad, good, and excellent) of the perinatal prognostic index were constructed, and external validation was performed.

Conclusions

Awareness of risk factors is very important for predicting prognosis and managing patients. Five independent perinatal risk factors were identified in this study. A perinatal prognostic index was developed for 30-day mortality for patients with CDH. This index may be used to help manage CDH patients.

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