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Ventilation Assessment by Carbon Dioxide Levels in Dental Treatment Rooms
It is important for dental care professionals to reliably assess carbon dioxide (CO(2)) levels and ventilation rates in their offices in the era of frequent infectious disease pandemics. This study was to evaluate CO(2) levels in dental operatories and determine the accuracy of using CO(2) levels to...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8120146/ https://www.ncbi.nlm.nih.gov/pubmed/33973494 http://dx.doi.org/10.1177/00220345211014441 |
Sumario: | It is important for dental care professionals to reliably assess carbon dioxide (CO(2)) levels and ventilation rates in their offices in the era of frequent infectious disease pandemics. This study was to evaluate CO(2) levels in dental operatories and determine the accuracy of using CO(2) levels to assess ventilation rate in dental clinics. Mechanical ventilation rate in air change per hour (ACH(VENT)) was measured with an air velocity sensor and airflow balancing hood. CO(2) levels were measured in these rooms to analyze factors that contributed to CO(2) accumulation. Ventilation rates were estimated using natural steady-state CO(2) levels during dental treatments and experimental CO(2) concentration decays by dry ice or mixing baking soda and vinegar. We compared the differences and assessed the correlations between ACH(VENT) and ventilation rates estimated by the steady-state CO(2) model with low (0.3 L/min, ACH(SS30)) or high (0.46 L/min, ACH(SS46)) CO(2) generation rates, by CO(2) decay constants using dry ice (ACH(DI)) or baking soda (ACH(BV)), and by time needed to remove 63% of excess CO(2) generated by dry ice (ACH(DI63%)) or baking soda (ACH(BV63%)). We found that ACH(VENT) varied from 3.9 to 35.0 in dental operatories. CO(2) accumulation occurred in rooms with low ventilation (ACH(VENT) ≤6) and overcrowding but not in those with higher ventilation. ACH(SS30) and ACH(SS46) correlated well with ACH(VENT) (r = 0.83, P = 0.003), but ACH(SS30) was more accurate for rooms with low ACH(VENT). Ventilation rates could be reliably estimated using CO(2) released from dry ice or baking soda. ACH(VENT) was highly correlated with ACH(DI) (r = 0.99), ACH(BV) (r = 0.98), ACH(DI63%) (r = 0.98), and ACH(BV63%) (r = 0.98). There were no statistically significant differences between ACH(VENT) and ACH(DI63%) or ACH(BV63%). We conclude that ventilation rates could be conveniently and accurately assessed by observing the changes in CO(2) levels after a simple mixing of household baking soda and vinegar in dental settings. |
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