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Virus cross-infection in paediatric wards.
British Medical Journal
|June 9, 1973
Summary
Hospital-acquired respiratory syncytial virus, influenza A, and parainfluenza virus infections caused mild colds to severe pneumonia in pediatric wards. A new "cross-infection rate" metric can assess factors influencing viral spread.
Area of Science:
- Pediatric infectious diseases
- Hospital-acquired infections
- Epidemiology of viral respiratory infections
Background:
- Cross-infection with respiratory viruses poses a significant risk in pediatric hospital settings.
- Common culprits include respiratory syncytial virus (RSV), influenza A, and parainfluenza viruses.
- These infections can lead to a spectrum of illness, from mild respiratory symptoms to severe pneumonia.
Purpose of the Study:
- To quantify the incidence of specific viral cross-infections in pediatric wards.
- To characterize the clinical severity of hospital-acquired viral respiratory infections.
- To introduce a novel metric, the "cross-infection rate," for evaluating factors influencing viral transmission.
Main Methods:
- Conducted a survey of virus cross-infection cases within pediatric wards over specified periods.
- Documented the types of viruses involved, including respiratory syncytial virus, influenza A, and parainfluenza viruses.
- Recorded the clinical outcomes, noting the severity of illness and lower respiratory tract involvement.
Main Results:
- Identified 15 cross-infections due to respiratory syncytial virus and 16 due to influenza A within a four-month period.
- Recorded 19 cross-infections attributed to parainfluenza viruses over a two-year span.
- Observed that 17 out of 50 (34%) hospital-acquired infections resulted in lower respiratory tract illness.
Conclusions:
- Viral cross-infection is a notable concern in pediatric wards, with RSV, influenza A, and parainfluenza being key pathogens.
- The severity of illness ranges widely, with a substantial proportion affecting the lower respiratory tract.
- The proposed "cross-infection rate" offers a quantifiable method to assess the impact of environmental and policy factors on infection frequency.