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Impact of environmental cleaning on the colonization and infection rates of multidrug-resistant Acinetobacter baumannii in patients within the intensive care unit in a tertiary hospital

Abstract

Objective

To continuously evaluate the effect of environmental cleaning and hand hygiene compliance on the colonization and infection rates of multidrug-resistant Acinetobacter baumannii (MDR-AB) in the patients within an intensive care unit (ICU).

Methods

Environmental cleaning on the high-touch clinical surfaces (HTCS) within a comprehensive ICU was evaluated through monitoring fluorescent marks when the overall compliance with hand hygiene during 2013–2014 was monitored. Meanwhile, samples from the HTCS and inpatients were collected and sent for bacterial culture and identification. The drug susceptibility testing was further implemented to monitor the prevalence of MDR-AB. The genetic relatedness of MDR-AB collected either from the HTCS or inpatients was analyzed by pulsed field gel electrophoresis (PFGE) when an outbreak was doubted.

Results

The overall compliance with hand hygiene remained relatively stable during 2013–2014. Under this circumstance, the clearance rate of fluorescence marks on the environmental surfaces within ICUs significantly increased from 21.9 to 85.7%, and accordingly the colonization and infection rates of MDR-AB decreased from 16.5 to 6.6‰ and from 7.4 to 2.8‰, respectively, from the beginning to the end of 2013. However, during 2014, because of frequent change and movement of environmental services staff, the clearance rate of fluorescence marks decreased below 50.0%, and the overall colonization and infection rates of MDR-AB correspondingly increased from 9.1 to 11.1‰ and from 1.5 to 3.9‰, respectively. PFGE displayed a high genetic relatedness between the MDR-AB strains analyzed, indicating a dissemination of MDR-AB during the surveillance period.

Conclusion

For the easily disseminated MDR-AB within ICUs, the clearance rate of fluorescence labeling on HTCS is negatively correlated with the hospital infection rate of MDR-AB. Such an invisible fluorescence labelling is an effective and convenient method to continuously monitor cleanness of medical environment within hospitals.

Introduction

Healthcare-associated infection (HAI) is a global problem for patients, especially those inpatient with immunocompromised or critically ill diseases, causing extended hospital stays, high costs, and high mortality [1]. Epidemiological studies showed that HAI is closely associated with microbial pathogens, such as methicillin-resistant Staphylococcus aureus (MRSA) [2, 3], vancomycin-resistant Enterococci (VRE) [3], and multidrug-resistant Gram-negative bacilli [4], which could be spread by the hospital environment surfaces [5]. In USA and Europe, MRSA and VRE are the main pathogens associated with HAIs within intensive care units (ICUs) [3, 6, 7]. In contrast, in China, the prevalence of multidrug-resistant Acinetobacter baumannii (MDR-AB) greatly exceeds both MRSA and VRE [8, 9], and the frequent expansion of MDR-AB poses tough challenges to control HAIs, especially those occurred in ICUs [10, 11]. A. baumannii possesses the super survivability on kinds of healthcare equipment surfaces, from 5 days to more than 5 months [12], which surely increases the chance of transmission of MDR-AB. In addition, such strain is difficult for prevention once it acquires resistance to the conventional detergents and alcohol disinfectants [13]. The worrying condition is, the current arsenal to target MDR-AB is almost exhausted [14]. Therefore, management of A. baumannii clusters in hospitals is very important to control multidrug-resistant infections. The targeted infection control measures of MDR-AB, including hand hygiene, environmental cleaning and subsequent measurement of cleanliness, are imperative to eradicate the nosocomial acquisition and further dissemination.

As an essential infection prevention strategy, environmental cleaning has significant benefit for healthcare units that have either high or low hand hygiene compliance levels, albeit hand hygiene remains a priority for infection control programs [15]. To date, it’s known that the patient care items and high-touch clinical surfaces (HTCS) within hospital wards are blamed for pathogen transmission [16]. HTCS refer to the guardrail, bedside table, injection pump button, monitor button, treatment vehicle and treatment table, basing on hand contact frequency and easy-to-contact area of patients, which was specifically recommended in 2002 by the Centers for Disease Control and Prevention (CDC) [16]. Thus, the HTCS are always the focus of intensive cleaning in high-risk areas, especially when MDR-AB is epidemic or endemic, and the cleaning and disinfection of HTCS are pivotal for prevention of outbreak of MDR pathogens.

Considering the fluorescent marker does not allow for direct assessment of the degree of disinfection, previous studies showed that an invisible fluorescent marker is a much better strategy to improve environment cleaning, by quantitatively assessing cleaning and disinfecting practices on MRSA and VRE [17, 18]. However, to our best knowledge, there is no report on this method used to evaluate impact of hospital environmental cleaning in China, especially for MDR-AB.

In this study, we utilized an invisible fluorescent marker, together with bacterial culture and identification, to evaluate the environmental cleaning on the HTCS within a comprehensive ICU of Nanjing Drum Tower Hospital. Concurrently, hand hygiene compliance was measured, the impact of environmental cleaning and hand hygiene compliance on the colonization and infection rates of MDR-AB in patients from 2013 to 2014 was explored. In addition, the relationship between colonization rates and infection rates was also analyzed.

Materials and methods

Study design

The study was conducted within Nanjing Drum Tower Hospital, a 3,325-bed general tertiary care and university-affiliated teaching hospital in Nanjing, Jiangsu province, China. Ethical approval was approved by the Ethics Committee of Nanjing Drum Tower hospital (Number: 2013–042).

The study design was shown in Fig. 1. Briefly, the samples of patients hospitalized in a 27-bed ICU in our hospital were taken to monitor MDR-AB from 2013 to 2014. The HTCS were marked by fluorescence labeling and continuously monitored for clearance level of fluorescence labeling and for contamination rate of MDR-AB, which was resistant against at least one agent in three or more of tested antimicrobial categories [19].

Fig. 1
figure1

The study design of this study. ICU: Intensive Care Unit; MDR-AB: multidrug resistant Acinetobacter baummannii; HTCS, high-touch clinical surfaces

Investigation on the hand hygiene compliance

Before this research project, all healthcare personnel in our hospital were regularly required to perform hand hygiene according to the guidelines recommended by Centers for Disease Control and Prevention (CDC) [20]. Therefore, observational survey of compliance with hand hygiene were conducted without hand hygiene being mandatorily requested during 2013–2014. Hand hygiene opportunities were as follows: [1] before touching a patient, [2] before clean/aseptic procedures, [3] after body fluid exposure/risk, [4] after touching a patient, and [5] after touching patient surroundings according to recommended guidelines [21,22,23]. An alcohol-based hand rub or wash with soap and water should been used according to the special indications for hand hygiene [24]. Twenty-minute observations were conducted for 4–6 times every week at optional time periods of day or night throughout the week by a well-trained nurse who was as unobtrusive as possible, but was not hidden. The potential opportunities for hand hygiene and the actual number of episodes of handwashes or hand rubs were recorded, other related information was also noted on a standardized observation form of hand hygiene [25]. The Healthcare personnel did not know the schedule of observation periods, they will be reminded if bad/harmful practices were observed.

Labeling of fluorescence marks and determination of the clearance level

The fluorescence marks were drawn by a fluorescent pen (RUHOF), which uses a special nontoxic target solution. When exposed to black light, the marks emit fluorescence brightly. Noteworthily, the fluorescence marks are inconspicuous, dry rapidly on surfaces, remain environmentally stable for several weeks, resist dry abrasion, but could be easily removed by minimal abrasion with moistened cloth [18, 26]. Fluorescence labeling was performed twice a day before cleaning (at 10 a.m. and 5 p.m. respectively), one mark every square centimeter. The targets were evaluated after two daily routine cleaning. Terminal cleaning was performed after inpatients were transferred from the ICUs. Clearance level of fluorescence labeling was calculated by comparing the number of fluorescence marks before and after cleaning. Environment cleanliness was divided into cleaning (labeling clearance rate > 80%) and contamination (labeling clearance rate < 80%).

Monitoring contamination of MDR-AB on the HTCS

To monitor contamination of MDR-AB on the HTCS of the ICU before the daily cleaning, samples were accordingly taken for bacterial culture from each site of fluorescence labeling by a cotton swab moistened with saline, according to the Technical Specification for Disinfection of Hospital Disinfection Hygiene Standard issued by the Ministry of Health of China (http://www.biaozhun8.cn/biaozhun108760). Once A. baumannii was detected, antimicrobial susceptibility was further tested to detect MDR-AB.

The colonization and infection rates of MDR-AB among inpatient in the ICU

Clinical samples including sputum, urine, blood, etc., from patients within the ICU during 2013–2014 were routinely taken and sent to the clinical microbiology laboratory for bacterial culture and susceptibility testing once infections were suspected. The diagnostic criteria for colonization and infection referred to the criteria issued by the US CDC in 2008 [27]. According to the international epidemiological quantitative statistical methods, the newly isolated multidrug-resistant bacteria per thousand bed days was adopted as the quantitative statistical standard, that is, the detection or infection density of multidrug-resistant bacteria in a specific time range (Number of newly isolated multidrug-resistant bacteria infected or colonized new patients in a period/number of bed days in a period).

Bacterial identification and antimicrobial susceptibility testing

Strains isolated were identified by ATB32E or Vitek-2 technology (BioMerieux, France). The susceptibility was determined by Kirby-Bauer method. The tested antimicrobial agents were as follows: amikacin, ceftazidime, cefoperazone/sulbactam, imipenem, meropenem, piperacillin-tazobactam, cefepime, ticarcillin/clavulanate, ciprofloxacin, levofloxacin, sulfamethoxazole, minocycline and tigecycline. Escherichia coli American Type Culture Collection (ATCC) 25,922 and Pseudomonas aeruginosa ATCC27853 were used as the quality controls in parallel. The results were interpreted according to guidelines of Clinical Laboratory Standard Institute (CLSI) 2015[28]. However, the interpretation of tigecycline was referred to the guidelines of the current European Committee on Antimicrobial Susceptibility Testing (EUCAST) (www.eucast.org), cutoff MICs of ≤ 1 μg/ml and > 2 μg/ml were used for tigecycline as the susceptibility and resistance breakpoints, respectively.

Pulsed field gel electrophoresis

When 14 MDR-AB isolates were detected simultaneously during Jan-Mar, 2013, the genetic relatedness among those MDR-AB strains collected from the patients and the HTCS during the same period were further analyzed through pulsed field gel electrophoresis (PFGE) according to the protocol [29]. Briefly. Fresh and pure bacterial cultures were embedded in agarose plugs and digested with proteinase K (20 mg/mL), followed by ApaI restriction endonuclease (TaKaRa, Dalian, Beijing, China). The standard strain Salmonella enterica serotype Braenderup H9812 digested with XbaI was used as a marker. The electrophoresis was performed in 0.5 × TBE buffer in a pulsed-field electrophoresis system (Chef Mapper; Bio-Rad Laboratories, Hercules, CA, USA), and the conditions were as follows: 14 °C, 6 V/cm, switch angle 120°, switch ramp 5–20 s for 19 h. BioNumerics software version 7.6 (Applied Maths, Sint-Martens-Latem, Belgium) was used to analyze the PFGE banding patterns. A cut off of 85% was used to judge the relatedness of strains analyzed based on the tree constructed by the unweighted pair group method of averages and a position tolerance of 1.5%.

Statistical analysis

IBM SPSS Statistics 20.0 software was used to perform statistical analysis. To determine whether there are statistical outliers among the fluorescence label clearance rates, we performed multivariate linear regression analysis to check their Mahalanobis distance. Different marker numbers in the 8 quarters was tested for Normal distribution. The correlation between the removal level of fluorescence labeling and colonization rates of MDR-AB, and the relationship between the colonization rates and infection rates of MDR-AB were analyzed by the Spearman correlation analysis. P < 0.05 was taken as statistically significant.

Results

The compliance of hand hygiene in the comprehensive ICU

Totally, 676 opportunities for hand hygiene were recorded during 2013–2014 (Table 1). Clinician contributed a majority of 51.2% of all opportunities followed by nurse (36.0%) and environment service staff (12.9%). In general, adherence rates did vary by category of healthcare personnel. compliance of the clinicians was the best, whereas, the adherence of environment service staff was the worst. From 2013 to 2014, the compliance of clinicians increased from 68.6 to 76.6%, the adherence of nurses and environment service staff showed a fluctuating trend. However, the adherence rates kept relatively stable, and the average reached 61.8%.

Table 1 Hand hygiene compliance

Clearance of fluorescence labeling

At the initial stage, the clearance rate of fluorescence labeling was comparatively low, only 21.9% (Table 2). Through training and strengthening supervision of cleaning workers, the total clearance rate of fluorescence labeling was greatly improved and finally reached up to 85.7% at the last quarter of 2013. However, with the frequent change and mobility of environment service staff within our ICU during 2014, the average clearance rate sharply decreased to less than 50%, even though frequent straining and education were implemented.

Table 2 The number of fluorescent marks on high frequency clinical sites and clearance rates of fluorescence labeling

The contamination rate of MDR-AB on the HTCS within ICU

To monitor the contamination level of MDR-AB on the HTCS, samples were collected for bacterial culture and identification. The distribution of MDR-AB isolates on HTCS was displayed in Table 3. At the first quarter of 2013, 6 MDR-AB isolates were detected from HTCS, mainly on treatment vehicle and guardrail. With the increasing clearance rate of fluorescence labeling, the contamination rate of MDR-AB decreased remarkably. Thus, in the following 3 quarters, no MDR-AB isolates were found. However, with the drastic fluctuation of fluorescence clearance rate during 2014, the MDR-AB isolates were continuously detected from guardrail, treatment vehicle and treatment table.

Table 3 Distribution of multidrug-resistant Acinetobacter baumannii on HTCS

The colonization and infection rates of MDR-AB among inpatient within the ICU

As shown in Table 4, in 2013, the hospital colonization rate of MDR-AB per Bed Day changed in the wake of the clearance level of fluorescence labeling. Spearman correlation analysis found a significant association between them (p = 0.021). In addition, we found that the infection rates of MDR-AB changed along with the colonization rates of inpatient within the ICU. However, we did not find a significant correlation between the colonization rates and the infection rates of MDR-AB.

Table 4 The clearance rates of fluorescent marks, the colonization rates of multidrug-resistant Acinetobacter baumannii and the infection rates of multidrug-resistant Acinetobacter baumannii of the inpatients within our ICU

Overall, the increased clearance rate of fluorescence marks leads to decreased contamination rate of MDR-AB on HTCS. The colonization rate and infection rate of MDR-AB in inpatient also decreased correspondingly. Statistical analysis showed that the correlation equation between clear rates of fluorescence labeling HTCS and hospital infection rate per thousand bed days was \(y=-0.0353x+5.666\), which indicated that the latter decreased along with the former’s increase \((\mathrm{Table }4)\). It’s worthy to mention that the clearance rate of January to March in 2013 (21.9%) was not statistical outlier, since its Mahalanobis distance was 5.31, which was less than the threshold value of chi-square test (16.74) during multivariate linear regression analysis.

The genetic relatedness of the MDR-AB strains during the infection outbreak

From Jan to Mar in 2013, 7 MDR-AB strains were isolated from sputum samples of 7 inpatients. Among them, 3 strains were associated with HAIs (The positive sputum culture was drawn > 2 days after admission) [30], 4 strains with community infections (the positive sputum culture was drawn < 2 days after admission). At the same time, 7 MDR-AB strains were isolated from the HTCS of the 3 HAI patients (H01-H03). Among them, two were isolated from treatment vehicle of Patient H01, two from guardrail and one from the treatment vehicle of Patient H02, and the last two from treatment table of Patient H03. According to the cutoff of 85.0%, all the MDR-AB displayed a genetic relatedness, indicating the existence of an epidemic clone (Fig. 2).

Fig. 2
figure2

The genetic relatedness of the multidrug resistant Acinetobacter baummannii from different resources within the ICU. Dendrogram based on PFGE profiles of 12 multidrug-resistant Acinetobacter baumannii isolated from inpatients and environment surfaces within the ICU. The dendrogram was produced by the UPGMA algorithm based on the Dice similarity coefficient. H01, H02 and H03 were associated with hospital acquired infections; C01, C02, C03 and C04 were associated with community acquired infections; H01-1, H01-2 were isolated from the HTCS of H01 infected patient; H02-1, H02-2, H02-3 from the HTCS of H02 infected patient; H03-1 and H03-2 from the HTCS of H03 infected patient

Discussion

In this study, we utilized a fluorescence labeling method to systematically evaluate the cleanliness of environmental surfaces within a comprehensive ICU in Nanjing Drum Tower Hospital, a large tertiary hospital of Nanjing, southeast China. Furthermore, the effect of environmental cleaning and hand hygiene adherence on the colonization and infection rates of MDR-AB in patients was also investigated. We found that the cleanliness of environmental surfaces could be reflected by clearance rate of fluorescence labeling on HTCS, under the conditions of keeping environment serve staff stable and relatively stable hand hygiene compliance. In addition, the clearance rate of fluorescence labeling could be greatly improved by training and strengthening supervision of environmental services staff. The increase of clearance rate of fluorescence labeling on HTCS was associated with the reduction of the hospital infection rate of MDR-AB.

Hand hygiene and environmental cleaning have previously been demonstrated to be two pillars of infection prevention in the control of hospital-acquired infection [15]. Comparing with the progressively improved compliance ( from 48.0% to 66.0%) in a teaching hospital in Switzerland during a 3-year survey period [31], and the low adherence to hand hygiene of clinicians (30.7%) at Queen Elizabeth Central Hospital in Malawi [25], the overall compliance with hand hygiene in our study was relatively stable and high (61.8%), albeit there were higher rates of compliance in clinicians when compared to nurse and environmental services staff. Notably, we found a continuously increasing compliance of hand hygiene of clinicians, which suggested that more and more clinicians in our ICU have realized the importance of the hand hygiene in the control of nosocomial pathogen. Considering the relatively stable hand hygiene adherence, more attention was therefore payed to analyze the effect of environment cleaning produced by the removal of fluorescence labeling.

Compared with the 44.0% clearance rate of black-light marks at baseline on surfaces in ICUs in the United Kingdom [18], the quite low removal rate (21.9%) of fluorescence labeling in our study corresponded to a bad environmental cleaning, which mean that more than 50.0% of the HTCS that should be wiped were actually not cleaned, indicating that cleaning of environmental surfaces should be strengthened. Fortunately, when the data were fed back to the management department of environmental services staff every quarter, more training aiming at improvement scheme of environmental cleaning would be repeatedly performed immediately, and stricter supervision was also implemented. Thus, the clearance rate of fluorescence labeling greatly increased up to 85.7% in the last quarter of 2013, a little lower than the 94% removal rate of fluorescent marker in United kingdom [32], suggesting that education of environmental services staff, and feedback using fluorescence labeling monitoring system could greatly improve the thoroughness of environment cleaning. However, because of the frequent change and mobility of environmental services staff in 2014, the environment cleaning dramatically fell, which was reflected by constantly decreased clearance rate of fluorescence labeling, even though more training and stricter supervision was still implemented. Accordingly, our study suggested that keeping the employment of environmental services staff stable within ICUs was especially important. Altogether, based on the fact that there are always much more patients and fewer beds in the large Third-Class A General Hospitals in China, it is difficult to achieve isolation measures strictly, such as single-room for each patient or the same-room placement for the same multidrug-resistant bacterial infections or colonizers. Thus, hand hygiene in combination with the formulated practical measures and training for all kinds of medical personnel to strengthen environmental cleaning as well as keeping the stability of environment service staff are imperative to prevent transmission of drug-resistant bacteria. Fluorescence labeling is an economical and effective method to rapidly and effectively evaluate the environmental clearance within ICUs.

Our further analysis found that there was a negative correlation between the clearance rate of fluorescence labeling on HTCS and the hospital infection rate per thousand bed days on the whole, which indicated that higher clearance rate of fluorescence labeling could reduce hospital infection rate of MDR-AB within ICUs. Moreover, few MDR-AB colonization in inpatients corresponded to the gradually increased clearance rate of fluorescence labeling on HTCS during 2013, indicating that good environment cleaning on HTCS could result in decreases in patient colonization.

Furthermore, the close genetic relationship of the MDR-AB isolated from the environmental surfaces and specimens of inpatients suggested the existence of an epidemic MDR-AB clone, which could rapidly spread within ICUs once the environmental cleaning was not enough, further emphasizing the importance of the sanitation of hospital environment. Thus, strengthening the cleanness and disinfection of the HCTS and other infection prevention and control measures is an effective way to prevent and control the dissemination of MDR-AB within hospitals.

There are several limitations to this study. First, our study focused only on daily cleaning when the room was occupied not terminal cleaning after patient discharge. Second, we just cultured only a fraction of marked surfaces because of financial constraints. Third, anal swabs were not taken for the surveillance for MDR-AB colonization.

Conclusion

Epidemic MDR-AB is a main pathogen easily colonizing on the HCTS within ICUs. With the fluorescence labeling method, the environmental cleanliness could be effectively reflected and educational intervention could also be objectively assessed. Furthermore, our study emphasized the importance of monitoring environment clearance and keeping stability of environment serve staff under the condition of relatively stable hand hygiene compliance.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  1. 1.

    Ling ML, Apisarnthanarak A, Madriaga G. The burden of healthcare-associated infections in southeast asia: a systematic literature review and meta-analysis. Clin Infect Dis. 2015;60(11):1690–9.

    PubMed  Article  Google Scholar 

  2. 2.

    Alvarez A, Fernandez L, Gutierrez D, Iglesias B, Rodriguez A. Methicillin-Resistant Staphylococcus aureus in hospitals: latest trends and treatments based on bacteriophages. J Clin Microbiol. 2019;57:12.

    Article  Google Scholar 

  3. 3.

    Milstone AM, Song X, Beers C, Berkowitz I, Carroll KC, Perl TM. Unrecognized burden of methicillin-resistant Staphylococcus aureus and vancomycin-resistant Enterococcus carriage in the pediatric intensive care unit. Infect Control Hosp Epidemiol. 2008;29(12):1174–6.

    PubMed  Article  Google Scholar 

  4. 4.

    Kang J, Sickbert-Bennett EE, Brown VM, Weber DJ, Rutala WA. Changes in the incidence of health care-associated pathogens at a university hospital from 2005 to 2011. Am J Infect Control. 2014;42(7):770–5.

    PubMed  Article  Google Scholar 

  5. 5.

    Ramm L, Siani H, Wesgate R, Maillard JY. Pathogen transfer and high variability in pathogen removal by detergent wipes. Am J Infect Control. 2015;43(7):724–8.

    CAS  PubMed  Article  Google Scholar 

  6. 6.

    Zhanel GG, Decorby M, Nichol KA, Baudry PJ, Karlowsky JA, Lagace-Wiens PR, et al. Characterization of methicillin-resistant Staphylococcus aureus, vancomycin-resistant enterococci and extended-spectrum beta-lactamase-producing Escherichia coli in intensive care units in Canada: Results of the Canadian National Intensive Care Unit (CAN-ICU) study (2005–2006). The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale. 2008;19(3):243–9.

  7. 7.

    Lazaris A, Coleman DC, Kearns AM, Pichon B, Kinnevey PM, Earls MR, et al. Novel multiresistance cfr plasmids in linezolid-resistant methicillin-resistant Staphylococcus epidermidis and vancomycin-resistant Enterococcus faecium (VRE) from a hospital outbreak: co-location of cfr and optrA in VRE. J Antimicrob Chemother. 2017;72(12):3252–7.

    CAS  PubMed  Article  Google Scholar 

  8. 8.

    Zhang J, Zhao C, Chen H, Li H, Wang Q, Wang Z, et al. A multicenter epidemiology study on the risk factors and clinical outcomes of nosocomial intra-abdominal infections in China: results from the Chinese Antimicrobial Resistance Surveillance of Nosocomial Infections (CARES) 2007–2016. Infect Drug Resistance. 2018;11:2311–9.

    CAS  Article  Google Scholar 

  9. 9.

    Sui W, Wang J, Wang H, Wang M, Huang Y, Zhuo J, et al. Comparing the transmission potential of Methicillin-resistant Staphylococcus aureus and multidrug-resistant Acinetobacter baumannii among inpatients using target environmental monitoring. Am J Infect Control. 2013;41(5):411–5.

    PubMed  Article  Google Scholar 

  10. 10.

    Huang X, Li G, Yi L, Li M, Wang J. The epidemiology of multidrug-resistant bacteria colonization and analysis of its risk factors in intensive care unit. Zhonghua wei zhong bing ji jiu yi xue. 2015;27(8):667–71.

    PubMed  Google Scholar 

  11. 11.

    Zhao Y, Hu K, Zhang J, Guo Y, Fan X, Wang Y, et al. Outbreak of carbapenem-resistant Acinetobacter baumannii carrying the carbapenemase OXA-23 in ICU of the eastern Heilongjiang Province. China. 2019;19(1):452.

    CAS  Google Scholar 

  12. 12.

    Haverkate MR, Derde LP, Brun-Buisson C, Bonten MJ, Bootsma MC. Duration of colonization with antimicrobial-resistant bacteria after ICU discharge. Intensive Care Med. 2014;40(4):564–71.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  13. 13.

    Liu WJ, Fu L, Huang M, Zhang JP, Wu Y, Zhou YS, et al. Frequency of antiseptic resistance genes and reduced susceptibility to biocides in carbapenem-resistant Acinetobacter baumannii. J Med Microbiol. 2017;66(1):13–7.

    PubMed  Article  Google Scholar 

  14. 14.

    Nasr P. Genetics, epidemiology, and clinical manifestations of multidrug-resistant Acinetobacter baumannii. The Journal of hospital infection. 2019.

  15. 15.

    Barnes SL, Morgan DJ, Harris AD, Carling PC, Thom KA. Preventing the transmission of multidrug-resistant organisms: modeling the relative importance of hand hygiene and environmental cleaning interventions. Infect Control Hosp Epidemiol. 2014;35(9):1156–62.

    PubMed  PubMed Central  Article  Google Scholar 

  16. 16.

    Sehulster L, Chinn RY. Guidelines for environmental infection control in health-care facilities. Recommendations of CDC and the Healthcare Infection Control Practices Advisory Committee (HICPAC). MMWR Recomm Rep. 2003;52(Rr-10):1–42.

  17. 17.

    Carling PC, Briggs J, Hylander D, Perkins J. An evaluation of patient area cleaning in 3 hospitals using a novel targeting methodology. Am J Infect Control. 2006;34(8):513–9.

    PubMed  Article  Google Scholar 

  18. 18.

    Goodman ER, Platt R, Bass R, Onderdonk AB, Yokoe DS, Huang SS. Impact of an environmental cleaning intervention on the presence of methicillin-resistant Staphylococcus aureus and vancomycin-resistant enterococci on surfaces in intensive care unit rooms. Infect Control Hosp Epidemiol. 2008;29(7):593–9.

    PubMed  PubMed Central  Article  Google Scholar 

  19. 19.

    Magiorakos AP, Srinivasan A, Carey RB, Carmeli Y, Falagas ME, Giske CG, et al. Multidrug-resistant, extensively drug-resistant and pandrug-resistant bacteria: an international expert proposal for interim standard definitions for acquired resistance. Clin Microbiol Infect. 2012;18(3):268–81.

    CAS  Article  Google Scholar 

  20. 20.

    WHO Guidelines Approved by the Guidelines Review Committee. WHO guidelines on hand hygiene in health care: first global patient safety challenge clean care is safer care. World Health Organization, Geneva

  21. 21.

    Albert RK, Condie F. Hand-washing patterns in medical intensive-care units. N Engl J Med. 1981;304(24):1465–6.

    CAS  PubMed  Article  Google Scholar 

  22. 22.

    Pittet D, Mourouga P, Perneger TV. Compliance with handwashing in a teaching hospital. Infect Control Program Ann Intern Med. 1999;130(2):126–30.

    CAS  Google Scholar 

  23. 23.

    Katz JD. Hand washing and hand disinfection: more than your mother taught you. Anesthesiol Clin North Am. 2004;22(3):457–71, vi.

  24. 24.

    Boyce JM. Hand hygiene compliance monitoring: current perspectives from the USA. J Hosp Infect. 2008;70(Suppl 1):2–7.

    PubMed  Article  Google Scholar 

  25. 25.

    Kalata NL, Kamange L, Muula AS. Adherence to hand hygiene protocol by clinicians and medical students at Queen Elizabeth Central Hospital. Blantyre-Malawi Malawi Med J. 2013;25(2):50–2.

    CAS  PubMed  Google Scholar 

  26. 26.

    Carling PC, Von Beheren S, Kim P, Woods C. Intensive care unit environmental cleaning: an evaluation in sixteen hospitals using a novel assessment tool. J Hosp Infect. 2008;68(1):39–44.

    CAS  PubMed  Article  Google Scholar 

  27. 27.

    Horan TC, Andrus M, Dudeck MA. CDC/NHSN surveillance definition of health care-associated infection and criteria for specific types of infections in the acute care setting. Am J Infect Control. 2008;36(5):309–32.

    PubMed  Article  Google Scholar 

  28. 28.

    CLSI. Performance Standards for Antimicrobial Susceptibility Testing. . Clinical Laboratory Standard Institute. 2015; M100-S25.

  29. 29.

    Alcantar-Curiel MD, Rosales-Reyes R, Jarillo-Quijada MD, Gayosso-Vazquez C, Fernandez-Vazquez JL, Toledano-Tableros JE, et al. Carbapenem-resistant acinetobacter baumannii in three tertiary care hospitals in mexico: virulence profiles, innate immune response and clonal dissemination. Front Microbiol. 2019;10:2116.

    PubMed  PubMed Central  Article  Google Scholar 

  30. 30.

    Buetti N, Atkinson A, Kronenberg A, Marschall J. Different epidemiology of hospital-acquired bloodstream infections between small community hospitals and large community hospitals. Clin Infect Dis. 2017;64(7):984–5.

    PubMed  Article  Google Scholar 

  31. 31.

    Pittet D, Hugonnet S, Harbarth S, Mourouga P, Sauvan V, Touveneau S, et al. Effectiveness of a hospital-wide programme to improve compliance with hand hygiene. Infection Control Programme Lancet. 2000;356(9238):1307–12.

    CAS  PubMed  Google Scholar 

  32. 32.

    Carling PC, Briggs JL, Perkins J, Highlander D. Improved cleaning of patient rooms using a new targeting method. Clin Infect Dis. 2006;42(3):385–8.

    PubMed  Article  Google Scholar 

Download references

Acknowledgements

None.

Funding

This work was supported by the Nanjing Medical Science and technique Development Foundation (Grant Nos: QRX17059 and QRX17144), the Youth Fund of Jiangsu Province (Grant No. BK20170133).

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Authors

Contributions

Yang Li and Hai Ge implemented the fluorescent labeling, evaluation of fluorescent removal rates. Wanqing Zhou, Jie Zheng and Hui Zhou performed the bacterial identification, susceptibility testing, Wei Chen and Xiaoli Cao analyzed the data and revision on the manuscripts. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Xiaoli Cao.

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Ethics approval and consent to participate

The retrospective study was approved by the Ethics Committee of the Nanjing Drum Tower Hospital of Hebei Medical University. Informed consent was waived because this was an observation and prospective study.

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The authors declare that they have no competing interests.

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Li, Y., Ge, H., Zhou, H. et al. Impact of environmental cleaning on the colonization and infection rates of multidrug-resistant Acinetobacter baumannii in patients within the intensive care unit in a tertiary hospital. Antimicrob Resist Infect Control 10, 4 (2021). https://0-doi-org.brum.beds.ac.uk/10.1186/s13756-020-00870-y

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Keywords

  • Healthcare-associated infection
  • Multidrug resistance
  • Acinetobacter baumannii
  • Fluorescence labeling
  • Environmental cleaning