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Statewide evaluation of infection control measures for preventing coronavirus disease 2019 in hemodialysis facilities. | LitMetric

AI Article Synopsis

  • - The study evaluated the occurrence of COVID-19 among patients in hemodialysis facilities in São Paulo, finding 1,093 reported cases out of 20,984 patients surveyed.
  • - Many facilities implemented preventive measures like dedicated COVID-19 areas and symptom screening, yet about 56% experienced at least one cluster of cases, with clustering suspected in only 7% of facilities.
  • - The primary risk factor for clustering was linked to aerosol-generating procedures, suggesting the need for caution in such practices to reduce transmission and monitor outbreaks effectively.

Article Abstract

Objective: This study aimed to evaluate the occurrence of coronavirus disease 2019 (COVID-19) in hemodialysis facilities and the occurrence of and risk factors for clustering of COVID-19 cases.

Methods: We conducted a cross-sectional online survey between March and July 2020, in all dialysis facilities in São Paulo state, using Google Forms. The online questionnaire contained questions addressing specific components of infection prevention and control practices and the number of cases during the COVID-19 pandemic.

Results: A total of 1,093 (5%) COVID-19 cases were reported among 20,984 patients; approximately 56% of the facilities had ≥1 cluster. Most facilities implemented various measures (such as allocation of dedicated COVID-19 areas/shifts, symptom screening, environmental disinfection, and maintenance of adequate ventilation) to prevent the transmission of severe acute respiratory syndrome coronavirus 2. Clustering of COVID-19 cases was suspected in only 7% of dialysis facilities. The only variable associated with this event was the performance of aerosol-generating procedures (odds ratio: 4.74; 95% confidence interval: 1.75-12.86).

Conclusion: Attention should be paid to avoiding the performance of aerosol-generating procedures in dialysis facilities and monitoring the clustering of cases.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8478131PMC
http://dx.doi.org/10.6061/clinics/2021/e3299DOI Listing

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