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A Statistical Model to Predict Nonsurvival in Congenital Diaphragmatic Hernia

Abstract

OBJECTIVE: To develop a predictive model using echocardiographic indices to identify nonsurvivors from survivors in preoperative patients with congenital diaphragmatic hernia (CDH).

STUDY DESIGN: Eight cases of CDH, with a mortality rate of 38%, underwent echocardiographic study before surgical repair. Left ventricular mass (LVMASS) using the area–length method of Wyatt et al. and fractional shortening (FS) by M-mode measurements were determined.

RESULTS: We identified a nonlinear nonoverlapping distribution that predicted nonsurvivors from survivors, p=0.04. Multiple regression analysis demonstrated the quantity (LVMASS×FS)1/2 to be correlated with nonsurvival with a coefficient of determination r2=0.55. Comparison of the means of the quantity (LVMASS×FS)1/2 for the two groups suggested two distinct populations, p=0.04.

CONCLUSION: The mathematical quantity (LVMASS×FS)1/2 calculated from echocardiographic measurements obtained preoperatively in babies with CDH may predict nonsurvival despite maximal intervention.

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Cypher Springer, S., Fleming, D. & Hulsey, T. A Statistical Model to Predict Nonsurvival in Congenital Diaphragmatic Hernia. J Perinatol 22, 263–267 (2002). https://doi.org/10.1038/sj.jp.7210681

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