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Dataset Information

Phenotyping congenital anomalies in administrative hospital records.


ABSTRACT:

Background

Congenital anomalies are a major cause of co-morbidity in children. Diagnostic code lists are increasingly used to identify congenital anomalies in administrative health records. Evidence is lacking on comparability of these code lists.

Objectives

To compare prevalence of congenital anomalies and prognostic outcomes for children with congenital anomalies identified in administrative health records using three different code lists.

Methods

We developed national cohorts of singleton livebirths in England (n = 7 354 363, 2003-2014) and Scotland (n = 493 556, 2003-2011). Children with congenital anomalies were identified if congenital anomaly diagnosis was recorded at birth, during subsequent hospital admission or as cause of death before 2 years old. We used t

SUBMITTER: Zylbersztejn A 

PROVIDER: S-EPMC7003968 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature