Congenital infections in Hong Kong: beyond TORCH

Hong Kong Med J. 2020 Aug;26(4):318-322. doi: 10.12809/hkmj208398. Epub 2020 Jul 24.

Abstract

Congenital infections refer to a group of perinatal infections that are caused by pathogens transmitted from mother to child during pregnancy (transplacentally) or delivery (peripartum) which may have similar clinical presentations, including rash and ocular findings. TORCH is the acronym that covers these infections (toxoplasmosis, other [syphilis], rubella, cytomegalovirus, herpes simplex virus). Other important causes of intrauterine/perinatal infection include human immunodeficiency virus, varicella-zoster virus, Treponema pallidum, Zika virus, and parvovirus B19. This overview aims to describe various congenital infections beyond TORCH with a Hong Kong perspective. Intrauterine and perinatal infections are a major cause of in utero death and neonatal mortality, and an important contributor to childhood morbidity. A high index of suspicion for congenital infections and awareness of the prominent features of the most common congenital infections can help to facilitate early diagnosis, tailor appropriate diagnostic evaluation, and initiate appropriate early treatment. Intrauterine infections should be suspected in newborns with clinical features including microcephaly, seizures, cataract, hearing loss, congenital heart disease, hepatosplenomegaly, small for gestational age, and/or rash. Primary prevention of maternal infections during pregnancy is key to the prevention of congenital infection, and resources (if available) should focus on public health promotion and pre-marital counselling.

Keywords: HIV infections; Herpesvirus 3, human; Infant, newborn, diseases; Parvovirus B19, human; Zika virus.

Publication types

  • Review

MeSH terms

  • Communicable Diseases / congenital*
  • Communicable Diseases / transmission*
  • Female
  • Fetal Diseases / epidemiology*
  • Fetal Diseases / microbiology
  • Hong Kong / epidemiology
  • Humans
  • Infant, Newborn
  • Infectious Disease Transmission, Vertical / statistics & numerical data*
  • Pregnancy
  • Pregnancy Complications, Infectious / epidemiology*