Literature DB >> 32275284

Air microbial contamination in dental clinics: comparison between active and passive methods.

Licia Veronesi1, Maria Eugenia Colucci2, Christian Napoli3, Paolo Castiglia4, Giorgio Liguori5, Ida Torre6, Elena Righi7, Patrizia Farruggia8, Marina Tesauro9, Maria Teresa Montagna10, Francesca Gallè11, Maria Dolores Masia12, Valeria Di Onofrio13, Giuseppina Caggiano14, Carola Tinteri15, Manuela Panico16, Francesca Pennino17, Lucia Cannova18, Cesira Pasquarella19.   

Abstract

The aim of this study was to evaluate the correlation between the microbial air contamination values obtained by active sampling (colony-forming units per cubic metre, CFU/m3) and by passive sampling (Index of microbial air contamination, IMA) and to calculate the corresponding equations. Air sampling was performed in ten dental clinics (DC), before (T0), during (T1) and after (T2) the clinical activity, for five consecutive days, once a month for a period of three months, for a total of 450 air samplings. The correlation was evaluated using the Spearman test, and a p value below 0.05 was considered statistically significant. A statistically significant correlation was found considering both the results obtained from the total observations and from the single sampling times, T0, T1 and T2. Different correlation patterns were observed stratifying by DC. Both methods were able to evaluate the microbial air quality and highlight critical situations; therefore, both can be used with this aim. However, in particular during the activity, passive sampling resulted more sensitive, and for its simplicity, economy and standardization by IMA, as suggested by several authors, can be suggested for routine monitoring.

Entities:  

Year:  2020        PMID: 32275284      PMCID: PMC7975899          DOI: 10.23750/abm.v91i3-S.9440

Source DB:  PubMed          Journal:  Acta Biomed        ISSN: 0392-4203


Introduction

Dental clinics (DC) are care settings where the risk of airborne infections is particularly relevant (1-5). The main factor increasing the criticality of the dental environment for airborne infections is the type of instruments used which produce aerosols containing microorganisms from the oral cavity, upper airways and possibly blood. The smaller particles can float in the air over a long period before they settle on surfaces or enter the respiratory tract and penetrate the small passages of the lungs, while larger particles settle easily onto environmental surfaces (5). From the surfaces, microorganisms can be resuspended in the air or can be transferred to healthcare workers’ and patients’ hands or any other objects or environmental surfaces. Microbiological air sampling represents a useful tool to identify the presence of risk situations and evaluate the effectiveness of the preventive measures undertaken; in this field the Italian Society of Hygiene, Preventive Medicine and Public Health, has given an important contribution (6-8). Active and passive sampling can be used; the active method measures the concentration of viable microorganisms in the air, expressed as colony forming units per cubic metre (CFU/m3), while passive method measures the rate at which viable microorganisms settle on surfaces (9). Passive method has been standardized by the Index of microbial air contamination, IMA (10,11). The aim of this study was to evaluate the correlation between the CFU/m3 and IMA values from a multicentre study by Pasquarella et al, 2012 (8).

Materials and methods

Microbial air samplings were performed in ten dental clinics (DC) before (T0), during (T1) and after (T2) the clinical activity, for five consecutive days, once a month for a period of three months. A total of 450 samplings were collected by active sampling and passive sampling, as previously described (8). The analysis of the results was performed by using SPSS 25.0 (IBM SPSS Inc., Chicago-IL). Correlation between CFU/m3 and IMA was evaluated using the Spearman test, considering the data both in their totality and subdivided by sampling time (T0, T1 and T2) and by clinic. In order to estimate linear regression, n. 5 extreme outliers were removed.

Results

A significant correlation between the results of the two methods was found considering both the results obtained from the total observations and from the single sampling times, T0, T1 and T2 (Table 1). By stratifying the results by DC, the correlation was significant at time T0 for three dental clinics (No 4, 6, 8), at time T1 for 4 DC (No 6, 7, 8, 10), and at time T2 for two DC (No 3, 8). One DC (No 8) presented a significant correlation both considering the single sampling times and the total samplings performed, with a rho of Spearman ranging from 0.785 to 0.811, while for three DC (No 1, 2 5) in any of the sampling times a correlation was found. DC 9 showed a statistically significant correlation for total values, but not for the single sampling times. Although non normal distribution was found, by eliminating the CFU/m3 outliers, the bivariate pattern was approximately linear and the following equations were found where “x” = CFU/m3 value and “y” = IMA value: T0: y = 9.46+0.07x; T1: y = 18.71+0.07x; T2: y = 12.39+0.04x. Total: y = 12.23+0.07x.
Table 1.

Correlation between the CFU/m3 and IMA values, for sampling time and dental clinic, rho di Spearman (p value)

Dental clinicSampling time
T0T1T2T0, T1, T2
Dental clinic 1n.s.n.s.n.s.n.s.
Dental clinic 2n.s.n.s.n.s.n.s.
Dental clinic 3n.s.n.s.0.719 (0.004)0.643 (<0.001)
Dental clinic 40.676 (0.011)n.s.n.s.0.533 (<0.001)
Dental clinic 5n.s.n.s.n.s.n.s.
Dental clinic 60.598 (0.018)0.571 (0.026)n.s.0.588 (<0.001)
Dental clinic 7n.s.0.662 (0.007)n.s.0.430 (0.003)
Dental clinic 80.555 (<0.032)0.727 (0.002)0.811 (<0.001)0.785 (<0.001)
Dental clinic 9n.s.n.s.n.s.0.644 (<0.001)
Dental clinic 10n.s.0.524 (0.045)0.530 (0.042)0.684 (<0.001)
Total0.497 (<0.001)0.473 (<0.001)0.399 (<0.001)0.606 (<0.001)

T0, T1, T2: before, during, after clinical practice; n. s. not significant

Correlation between the CFU/m3 and IMA values, for sampling time and dental clinic, rho di Spearman (p value) T0, T1, T2: before, during, after clinical practice; n. s. not significant

Conclusions

The results obtained showed different correlation patterns. The strongest correlation between CFU/m3 and IMA values was found when highest air microbial contamination values were recorded. This finding is consistent with the results reported by Petti et al. in local study, showing a significant correlation for high air microbial contamination levels, but no correlation for low contamination levels (12). Comparing the values of the obtained equations with the relationships from the recommended limits defined by the EU Guidelines to Good Manufacturing Practice (13), it could be seen that at Grade D, which was proposed as target value in dental clinics, corresponding to 200 CFU/m3 and 100 CFU/4h (25 CFU/h), the relationship obtained in our study, considering the T1 sampling time, the IMA values corresponding to 200 CFU/m3 were 32.71 showing, during the activity, a higher sensitivity of the passive sampling. This could be explained considering the high fluctuation of microbial contamination in dental clinics due to the frequent aerosol product (3) and the cumulative measurement of contamination provided by the use of settle plates exposed for one hour (12). Both methods, active and passive, were able to evaluate the microbial air quality and highlight critical situations, so that both can be used with this aim. However, in particular during the activity, passive sampling showed to be more sensitive, and for its simplicity, economy and standardization by IMA, as suggested by several authors (3,10,12), can be suggested for routine air microbial monitoring.
  10 in total

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Authors:  C Pasquarella; O Pitzurra; A Savino
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Authors:  Valérie Decraene; Derren Ready; Jonathan Pratten; Michael Wilson
Journal:  J Gen Appl Microbiol       Date:  2008-08       Impact factor: 1.452

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Authors:  Cesira Pasquarella; Roberto Albertini; Pierpaolo Dall'aglio; Elisa Saccani; Giuliano Ezio Sansebastiano; Carlo Signorelli
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Authors:  Cesira Pasquarella; Licia Veronesi; Paolo Castiglia; Giorgio Liguori; Maria Teresa Montagna; Christian Napoli; Rolando Rizzetto; Ida Torre; Maria Dolores Masia; Valeria Di Onofrio; Maria Eugenia Colucci; Carola Tinteri; Marialuisa Tanzi
Journal:  Sci Total Environ       Date:  2010-06-14       Impact factor: 7.963

7.  Microbial environmental contamination in Italian dental clinics: A multicenter study yielding recommendations for standardized sampling methods and threshold values.

Authors:  Cesira Pasquarella; Licia Veronesi; Christian Napoli; Paolo Castiglia; Giorgio Liguori; Rolando Rizzetto; Ida Torre; Elena Righi; Patrizia Farruggia; Marina Tesauro; Maria V Torregrossa; Maria T Montagna; Maria E Colucci; Francesca Gallè; Maria D Masia; Laura Strohmenger; Margherita Bergomi; Carola Tinteri; Manuela Panico; Francesca Pennino; Lucia Cannova; Marialuisa Tanzi
Journal:  Sci Total Environ       Date:  2012-02-13       Impact factor: 7.963

8.  Healthcare-associated viral and bacterial infections in dentistry.

Authors:  A M G A Laheij; J O Kistler; G N Belibasakis; H Välimaa; J J de Soet
Journal:  J Oral Microbiol       Date:  2012-06-12       Impact factor: 5.474

9.  Bacterial aerosols in dental practice - a potential hospital infection problem?

Authors:  R Rautemaa; A Nordberg; K Wuolijoki-Saaristo; J H Meurman
Journal:  J Hosp Infect       Date:  2006-07-03       Impact factor: 3.926

10.  Italian multicenter study on infection hazards during dental practice: control of environmental microbial contamination in public dental surgeries.

Authors:  Paolo Castiglia; Giorgio Liguori; Maria Teresa Montagna; Christian Napoli; Cesira Pasquarella; Margherita Bergomi; Leila Fabiani; Silvano Monarca; Stefano Petti
Journal:  BMC Public Health       Date:  2008-05-29       Impact factor: 3.295

  10 in total

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