Congenital microcephaly hospitalizations in California infants: 1999-2013

Maya R Krasnow1, Yvonne A Maldonado1,2, Despina G Contopoulos-Ioannidis2

  • 1Department of Health Research and Policy, Stanford University School of Medicine, Stanford, California.

Birth Defects Research
|October 23, 2019
PubMed
Abstract

Insights

Population-level microcephaly incidence risk (IR) was tracked using California hospital data from 1999-2013. Electronic Health Records can monitor microcephaly rates, but require standardized coding for accuracy.

Area of Science:

  • Epidemiology
  • Public Health Surveillance

Background:

  • Population-level microcephaly incidence risk (IR) changes can indicate neurotropic pathogen circulation or teratogen exposure.
  • Electronic Health Records (EHR) offer a potential tool for monitoring these critical public health indicators.

Purpose of the Study:

  • To estimate the incidence risk (IR) of hospitalizations with microcephaly diagnoses in infants up to one year old.
  • To analyze trends in microcephaly IR over a 15-year period (1999-2013) using a large healthcare database.

Main Methods:

  • Retrospective population cohort study utilizing the California Office of Statewide Hospital Planning and Development (OSHPD) database.
  • Analysis of hospital discharge data for infants ≤1 year, identifying microcephaly codes (ICD-9-CM).
  • Calculation of IR per 10,000 live births and per 10,000 infant hospitalizations, with exploration of comorbidity exclusion impacts.

Main Results:

  • Over 8.8 million infant hospital discharges were analyzed, identifying 6,004 microcephaly cases.
  • The overall IR of microcephaly hospitalizations was 7.70 per 10,000 live births for infants ≤1 year.
  • Significant yearly heterogeneity in microcephaly IR was observed (I² = 66.6%).

Conclusions:

  • EHR data can complement traditional methods for tracking microcephaly IR.
  • Standardization of microcephaly diagnosis coding and comorbidity exclusion criteria is crucial for accurate temporal analysis.
  • Improved data harmonization is necessary for the prompt identification of true changes in microcephaly rates.

Related Concept Videos