Retrospectively diagnosing congenital cytomegalovirus infections in symptomatic infants is challenging

Natalia Lüsebrink1, Matthias Kieslich1, Holger F Rabenau2

  • 1Department of Neurology, Neurometabolics and Prevention, Clinic for Children and Adolescents, University Hospital Frankfurt/Main, Frankfurt/Main, Germany.

Insights

Diagnosing congenital cytomegalovirus (CMV) in infants was challenging. Many cases were excluded or unconfirmed due to incomplete workups or data destruction laws, impacting congenital CMV infection diagnosis.

Area of Science:

  • Virology
  • Pediatrics
  • Infectious Diseases

Background:

  • Congenital cytomegalovirus (CMV) infection is a significant cause of neurological symptoms in hospitalized infants.
  • Accurate and timely diagnosis is crucial for appropriate management and outcomes.

Purpose of the Study:

  • To analyze the diagnostic workup process for hospitalized infants suspected of having congenital CMV infections.
  • To identify challenges and limitations in diagnosing congenital CMV in a clinical setting.

Main Methods:

  • Retrospective study of 117 infants aged 4 weeks to 12 months with neurological symptoms suggestive of congenital CMV.
  • Review of diagnostic workup data, including serology and polymerase chain reaction (PCR) on dried blood spots (DBS).

Main Results:

  • Diagnostic workup data were available for 84% of infants; 54% were definitively excluded for CMV infection.
  • 16% of cases had incomplete workups, and 30% had DBS requested, with CMV DNA detection confirming infection in 6 out of 29 infants.
  • Congenital CMV infection was diagnosed in 5% and excluded in 62% of patients, with 33% remaining unanswered.

Conclusions:

  • Congenital CMV infection was diagnosed in a small percentage of evaluated infants (5%).
  • Diagnostic investigations were not consistently stringent, and German law regarding DBS destruction posed a challenge.
  • The diagnostic workup for congenital CMV in hospitalized infants requires optimization to ensure accurate and complete diagnoses.
Abstract