Hand Hygiene among Anesthesiologists and Microorganisms Contamination in Anesthesia Environments: A Single-Center Observational Study

LIU Hong Lei LIU Ya Li SUN Fang Yan LI Zong Chao TAN Hong Yu XU Ying Chun

LIU Hong Lei, LIU Ya Li, SUN Fang Yan, LI Zong Chao, TAN Hong Yu, XU Ying Chun. Hand Hygiene among Anesthesiologists and Microorganisms Contamination in Anesthesia Environments: A Single-Center Observational Study[J]. Biomedical and Environmental Sciences, 2022, 35(11): 992-1000. doi: 10.3967/bes2022.128
Citation: LIU Hong Lei, LIU Ya Li, SUN Fang Yan, LI Zong Chao, TAN Hong Yu, XU Ying Chun. Hand Hygiene among Anesthesiologists and Microorganisms Contamination in Anesthesia Environments: A Single-Center Observational Study[J]. Biomedical and Environmental Sciences, 2022, 35(11): 992-1000. doi: 10.3967/bes2022.128

doi: 10.3967/bes2022.128

Hand Hygiene among Anesthesiologists and Microorganisms Contamination in Anesthesia Environments: A Single-Center Observational Study

Funds: This work was supported by the Young Scientific Research Fund of PUMCH (Peking Union Medical College Hospital) [Grant No. pumch201911291]
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    Author Bio:

    LIU Hong Lei, male, born in 1985, Bachelor’s Degree, majoring in anesthesiology; LIU Ya Li, female, born in 1985, Doctor's Degree, majoring in clinical microbiology

    Corresponding author: XU Ying Chun, Tel: 86-10-69159766, E-mail: xycpumch@139.com
  • None declared.
  • &These authors contributed equally to this work.
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    None declared.
    &These authors contributed equally to this work.
    注释:
    1) CONFLICTS OF INTEREST:
  • Figure  1.  Protocol for sampling anesthesiologists’ hands (A), the anesthesia environment (B), and the anesthesia machine (C).

    Figure  2.  Baseline microorganisms' growth on the hands of anesthesiologists and the effectiveness of disinfection. (A) and (B) represent microorganisms' growth before and after hands disinfection in terms of the total CFUs and number of species, respectively. (C) and (D) indicate microorganisms' growth before and after hands disinfection between male and female anesthesiologists in terms of total CFUs, respectively. (E) and (F) represent microorganisms' growth before and after hands disinfection between male and female anesthesiologists in terms of number of species, respectively. CFU, colony-forming units. The two-tailed Mann-Whitney test was used in this section, and a P-value < 0.05 was considered significant.

    Figure  3.  Baseline microorganisms' growth in the anesthesia environment and the effectiveness of disinfection. (A) and (B) represent microorganisms' growth before and after disinfection at the key board and mouse in terms of CFUs and number of species, respectively. (C) and (D) indicate microorganisms' growth before and after disinfection at the medicative cart in terms of CFUs and number of species, respectively. (E) and (F) represent microorganisms' growth before and after disinfection at the monitor in terms of CFUs and number of species, respectively. CFU, colony-forming units. The two-tailed Mann-Whitney test was used in this section, and a P-value < 0.05 was considered significant.

    Figure  4.  Comparison of microorganisms' growth among different parts of anesthesia environment and the effectiveness of disinfection. (A) and (B) represent microorganisms' growth before and after disinfection at different parts of anesthesia environment in terms of CFUs, respectively. CFU, colony-forming units. The one-way ANOVA test (multiple comparisons) was used in this section, and a P-value < 0.05 was considered significant.

    Figure  5.  Microorganisms’ growth on anesthesia machines (working tables) and the effectiveness of disinfection. CFU, colony-forming units.

    S1.   Bacterial growth on the hands of anesthesiologists before and after disinfection

    NameGenderBefore Disinfection of HandsAfter Disinfection of Hands
    CFU/totalCFU/cm2BacteriaCFU/totalCFU/cm2Bacteria
    Provider 1M1142Brevibacillus parabrevis10Bacillus cereus
    Kocuria marina
    Staphylococcus aureus
    Staphylococcus epidermidis
    Staphylococcus hominis
    Provider 2M3055Staphylococcus epidermidis30Bacillus megaterium
    Bacillus cereusStaphylococcus capitis
    Moraxella osloensis
    Kocuria rhizophila
    Staphylococcus aureus
    Staphylococcus hominis
    Provider 3M95016Staphylococcus aureus3045Micrococcus luteus
    Staphylococcus haemolyticusKocuria palustris
    Micrococcus luteusStaphylococcus aureus
    Staphylococcus capitis
    Staphylococcus warneri
    Provider 4M280Bacillus firmus60Lactobacillus plantarum
    Bacillus megateriumStaphylococcus capitis
    Enterobacter cloacaeStaphylococcus epidermidis
    Staphylococcus aureus
    Staphylococcus capitis
    Staphylococcus epidermidis
    Provider 5M891Bacterium*20Corynebacterium tuberculostearicum
    Neisseria mucosaStaphylococcus epidermidis
    Staphylococcus capitis
    Staphylococcus epidermidis
    Staphylococcus hominis
    Staphylococcus pettenkoferi
    Provider 6M3306Corynebacterium tuberculostearicum30Bacterium*
    Micrococcus antarcticusMicrococcus luteus
    Staphylococcus epidermidisBacterium*
    Provider 7M200033Staphylococcus capitis70Staphylococcus epidermidis
    Kocuria marina
    Provider 8M100Bacillus cereus80Bacillus cereus
    Bacillus megateriumStaphylococcus capitis
    Moraxella osloensis
    Bacterium*
    Provider 9M20Aerococcus viridans00
    Lactobacillus fermentum
    Provider 10M135223Acinetobacter baumannii150Bacillus flexus
    Acinetobacter nosocomialisBrevibacterium linens
    Brevibacterium linensSphingomonas aerolata
    Staphylococcus epidermidis
    Sphingomonas paucimobilis
    Provider 11M3526Bacillus cereus130Bacillus infantis
    Bacillus flexusBacillus megaterium
    Bacillus infantisBacillus simplex
    Bacillus megateriumStaphylococcus cohnii
    Dermacoccus nishinomiyaensis
    Provider 12M1092Bacillus megaterium20Micrococcus luteus
    Micrococcus luteus
    Neisseria meningitidis
    Serratia rubidaea
    Staphylococcus sp
    Provider 13F1202Micrococcus luteus20Bacillus horikoshii
    Moraxella spStaphylococcus capitis
    Staphylococcus hominis
    Staphylococcus aureus
    Provider 14F671Micrococcus luteus20Bacillus pseudofirmus
    Ralstonia syzygii
    Staphylococcus capitis
    Provider 15F771Micrococcus luteus00
    Staphylococcus epidermidis
    Staphylococcus hominis
    Provider 16F150Bacterium*00
    Kocuria marina
    Staphylococcus capitis
    Staphylococcus hominis
    Provider 17F2023Bacillus mojavensis110Brevibacillus borstelensis
    Kocuria rhizophilaBrevibacterium linens
    Staphylococcus sciuriBacterium*
    Staphylococcus epidermidis
    Provider 18F20Bacillus subtilis00
    Staphylococcus capitis
    Provider 19F4508Brevibacterium linens0
    Bacterium*
    Provider 20F1272Acinetobacter pittii20Bacillus idriensis
    Brevundimonas vesicularisMicrococcus antarcticus
    Yeast*
    Micrococcus luteus
    Ralstonia syzygii
    Staphylococcus caprae
    Provider 21F1032Pasteurella dagmatis00
    Brachybacterium conglomeratum
    Bacterium*
    Brachybacterium conglomeratum
    Provider 22F601Bacillus cereus50Neisseria perflava
    Staphylococcus cohnii
    Staphylococcus epidermidis
    Provider 23F104717Bacillus cereus00
    Bacillus megaterium
    Staphylococcus cohnii
    Staphylococcus saprophyticus
    Provider 24F1833Bacillus cereus00
    Provider 25F209135Bacillus sp20Bacillus circulans
    Brevibacterium casei
    Neisseria meningitidis
      Note. *Indicates identification scores of ≤ 60, considered “not reliable”. CFU, colony-forming units.
    下载: 导出CSV

    S2.   Bacterial growth in the anesthesia environment before and after disinfection

    No. of Operating RoomBefore disinfection
    (Keyboard and Mouse)
    After disinfection
    (Keyboard and Mouse)
    Before disinfection
    (Medicative Cart)
    After disinfection
    (Medicative Cart)
    Before disinfection
    (Monitor)
    After disinfection
    (Monitor)
    CFU/total; CFU/cm2BacteriaCFU/total; CFU/cm2BacteriaCFU/total; CFU/cm2BacteriaCFU/total; CFU/cm2BacteriaCFU/total; CFU/cm2BacteriaCFU/total; CFU/cm2Bacteria
    12,000; 20Micrococcus luteus1; 0Moraxella sp129; 1Bacillus firmus0; 00; 00; 0
    Staphylococcus epidermidisBacillus licheniformis
    Staphylococcus pasteuriKocuria rosea
    Bacterium*
    Bacterium*
    Staphylococcus hominis
    Staphylococcus pasteuri
    2106; 1Bacterium*2; 0Bacillus sp203; 2Bacillus megaterium8; 0Micrococcus luteus0; 00; 0
    Bacillus simplexStaphylococcus epidermidisKocuria rhizophilaStaphylococcus capitis
    Nocardia higoensisStaphylococcus cohniiStaphylococcus epidermidis
    Bacterium*Staphylococcus epidermidis
    Staphylococcus cohniiStaphylococcus hominis
    Staphylococcus haemolyticus
    3548; 5Corynebacterium aurimucosum60; 1Corynebacterium tuberculostearicum637; 6Arthrobacter aurescens10; 0Yeast*31; 0Micrococcus luteus0; 0
    Micrococcus luteusStaphylococcus capitisKocuria palustrisMicrococcus antarcticusMoraxella osloensis
    Kocuria marinaMicrococcus antarcticusBacterium*Staphylococcus hominis
    Staphylococcus hominisMoraxella osloensisStaphylococcus haemolyticus
    Staphylococcus warneriStaphylococcus cohnii
    Staphylococcus hominis
    438; 0Kocuria rhizophila17; 0Staphylococcus hominis100; 1Bacillus cereus1; 0Paenibacillus lautus50; 1Bacillus cereus0; 0
    Staphylococcus epidermidisMicrococcus luteusKocuria rhizophila
    Staphylococcus pettenkoferiStaphylococcus epidermidisStaphylococcus epidermidis
    Staphylococcus haemolyticusStaphylococcus hominis
    Staphylococcus lugdunensis
    591; 1Bacterium*1; 0Paenibacillus glucanolyticus208; 2Corynebacterium aurimucosum0; 06; 0Moraxella osloensis0; 0
    Kocuria roseaMicrococcus antarcticusStaphylococcus warneri
    Staphylococcus epidermidisStaphylococcus warneri
    Staphylococcus hominis
    Bacterium*
    6416; 4Micrococcus luteus46; 0Micrococcus luteus488; 5Acinetobacter lwoffii0; 010; 0Staphylococcus cohnii0; 0
    Staphylococcus epidermidisPseudomonas luteolaMicrococcus luteusStaphylococcus epidermidis
    Staphylococcus haemolyticusStaphylococcus saprophyticusStaphylococcus cohnii
    Staphylococcus hominis
    7202; 2Escherichia coli5; 0Actinomyces funkei36; 0Bacillus cereus6; 0Bacillus licheniformis15; 0Bacillus subtilis6; 0Bacillus firmus
    Moraxella osloensisMicrococcus antarcticusMicrococcus luteusStaphylococcus capitisBacillus licheniformis
    Staphylococcus aureusStaphylococcus epidermidisMoraxella osloensisStaphylococcus epidermidisLactobacillus paracasei
    Staphylococcus hominisStaphylococcus haemolyticusLysinibacillus sphaericus
    8197; 2Dietzia maris12; 0Enterococcus pallens1114; 11Yeast*2; 0Micrococcus luteus0; 00; 0
    Kocuria rhizophilaMicrococcus luteusPandoraea pulmonicolaStaphylococcus capitis
    Staphylococcus epidermidisStaphylococcus hominis
    Staphylococcus haemolyticusStaphylococcus saprophyticus
    9621; 6Bacillus idriensis11; 0Micrococcus antarcticus471; 5Yeast*5; 0Kocuria rosea5; 0Bacterium*0; 0
    Bacterium*Micrococcus luteusStaphylococcus epidermidisBacillus spStaphylococcus hominis
    Staphylococcus cohniiStaphylococcus epidermidisStaphylococcus haemolyticus
    Staphylococcus epidermidis
    Staphylococcus warneri
      Note. *Indicates identification scores of ≤ 60, considered “not reliable”. CFU, colony-forming units.
    下载: 导出CSV

    S3.   Bacterial growth in the anesthesia environment (working table) before and after disinfection

    No. of Operating RoomBefore Table DisinfectionAfter Table Disinfection
    (0 hours)
    After Table Disinfection
    (1 hour)
    After Table Disinfection
    (2 hours)
    After Table Disinfection
    (3 hours)
    After Table Disinfection
    (4 hours)
    CFU/total; CFU/cm2BacteriaCFU/total; CFU/cm2BacteriaCFU/total; CFU/cm2BacteriaCFU/total; CFU/cm2BacteriaCFU/total; CFU/cm2BacteriaCFU/total; CFU/cm2Bacteria
    1110; 1Micrococcus antarcticus2; 0Staphylococcus hominis19; 0Bacillus mycoides60; 1Kocuria rosea133; 1Pseudomonas avellanae252; 3Micrococcus luteus
    Micrococcus luteusStaphylococcus epidermidisPaenibacillus apiariusStaphylococcus capitisStaphylococcus capitis
    Staphylococcus aureusStaphylococcus hominisStaphylococcus cohniiStaphylococcus haemolyticusStaphylococcus epidermidis
    Staphylococcus capitisStaphylococcus hominisStaphylococcus hominisStaphylococcus haemolyticus
    Staphylococcus cohniiBacterium*
    Staphylococcus hominis
    2345; 3Kocuria rosea10; 0Bacillus megaterium43; 0Bacillus megaterium50; 1Bacillus vallismortis51; 1Yeast*54; 1Bacillus subtilis
    Moraxella osloensisBacillus spBacillus spKocuria rhizophilaKocuria roseaBacterium*
    Staphylococcus capitisKocuria rhizophilaBacterium*Neisseria perflavaStaphylococcus capitisMoraxella osloensis
    Staphylococcus epidermidisStaphylococcus hominisStaphylococcus epidermidisStaphylococcus capitisStaphylococcus cohniiStaphylococcus epidermidis
    Staphylococcus haemolyticusStaphylococcus epidermidisStaphylococcus epidermidisStaphylococcus kloosii
    Staphylococcus pettenkoferiBacterium*
    3445; 4Bacillus pseudofirmus6; 0Staphylococcus epidermidis47; 0Micrococcus luteus57; 0Candida parapsilosis72; 1Bacterium*115; 1Moraxella osloensis
    Kocuria rhizophilaStaphylococcus hominisStaphylococcus aureusStaphylococcus hominisBrachybacterium conglomeratumYeast*
    Moraxella osloensisStaphylococcus haemolyticusStaphylococcus haemolyticusStaphylococcus epidermidis
    Staphylococcus aureusStaphylococcus sciuriStaphylococcus saprophyticus
    Staphylococcus capitis
    Staphylococcus epidermidis
    Staphylococcus hominis
    430; 0Kocuria marina0; 03; 0Bacterium*25; 0Bacterium*175; 2Yeast*719; 7Yeast*
    Paenibacillus chitinolyticusStaphylococcus capitisEnterobacter cloacaeMicrococcus antarcticusMicrococcus luteus
    Bacterium*Staphylococcus epidermidisMicrococcus luteusMoraxella osloensis
    Staphylococcus hominisStaphylococcus capitisStaphylococcus capitis
    5684; 7Bacterium*1; 0Bacterium*6; 0Staphylococcus capitis18; 0Bacillus cohnii34; 0Bacillus sp264; 3Bacterium*
    Neisseria subflavaYeast*Staphylococcus cohniiStaphylococcus warneri
    Staphylococcus hominisStaphylococcus lugdunensis
    Staphylococcus sciuriBacterium*
    6115; 1Bacillus cereus1; 0Staphylococcus hominis3; 0Bacterium*3; 0Brevibacterium iodinum20; 0Micrococcus luteus24; 0Bacillus megaterium
    Enterobacter cloacaeStaphylococcus cohniiBacterium*Paenibacillus massiliensisMoraxella sp
    Micrococcus antarcticusStaphylococcus epidermidisKocuria marinaPseudomonas flavescensStaphylococcus cohnii
    Staphylococcus cohniiStaphylococcus epidermidisStaphylococcus hominis
    774; 1Kocuria marina7; 0Bacillus mannanilyticus40; 0Neisseria perflava42; 0Staphylococcus epidermidis65; 1Micrococcus luteus201; 2Bacillus megaterium
    Micrococcus antarcticusLactobacillus paracaseiRothia mucilaginosaStaphylococcus haemolyticusNeisseria flavescensNeisseria flavescens
    Staphylococcus capitisNeisseria perflavaStaphylococcus aureusStaphylococcus pettenkoferiNeisseria siccaStaphylococcus hominis
    Staphylococcus epidermidisStaphylococcus haemolyticusStaphylococcus hominisRothia mucilaginosa
    Staphylococcus haemolyticus
    813; 0Kocuria rhizophila0; 05; 0Arcanobacterium phocae8; 0Bacillus cereus11; 0Staphylococcus epidermidis105; 1Alkalibacillus haloalkaliphilus
    Kocuria roseaCardiobacterium spCorynebacterium spStaphylococcus haemolyticusMicrococcus luteus
    Moraxella osloensisStaphylococcus hominisKocuria palustrisStaphylococcus capitis
    Staphylococcus capitisStaphylococcus haemolyticusStaphylococcus epidermidis
    Staphylococcus hominis
    9187; 2Bacillus simplex0; 01; 0Staphylococcus haemolyticus3; 0Bacillus smithii6; 0Micrococcus luteus10; 0Corynebacterium afermentans
    Staphylococcus epidermidisMicrococcus antarcticusStaphylococcus epidermidisStaphylococcus hominis
    Staphylococcus hominisStaphylococcus epidermidisStaphylococcus hominisStaphylococcus warneri
    Staphylococcus saprophyticus
      Note. *Indicates identification scores of ≤ 60, considered “not reliable”. CFU, colony-forming units.
    下载: 导出CSV
  • [1] Biddle C, Shah J. Quantification of anesthesia providers' hand hygiene in a busy metropolitan operating room: what would Semmelweis think? Am J Infect Control, 2012; 40, 756−9.
    [2] Fernandez PG, Loftus RW, Dodds TM, et al. Hand hygiene knowledge and perceptions among anesthesia providers. Anesth Analg, 2015; 120, 837−43. doi:  10.1213/ANE.0000000000000408
    [3] Paul ET, Kuszajewski M, Davenport A, et al. Sleep safe in clean hands: improving hand hygiene compliance in the operating room through education and increased access to hand hygiene products. Am J Infect Control, 2019; 47, 504−8. doi:  10.1016/j.ajic.2018.10.021
    [4] Sahni N, Biswal M, Gandhi K, et al. Quantification of hand hygiene compliance in anesthesia providers at a tertiary care center in northern India. Am J Infect Control, 2015; 43, 1134−6. doi:  10.1016/j.ajic.2015.05.035
    [5] Scheithauer S, Rosarius A, Rex S, et al. Improving hand hygiene compliance in the anesthesia working room work area: more than just more hand rubs. Am J Infect Control, 2013; 41, 1001−6. doi:  10.1016/j.ajic.2013.02.004
    [6] Segal S, Harris HM, Gunawan A, et al. A simple method for estimating hand hygiene use among anesthesia personnel: development, validation, and use in a quality improvement project. Anesth Analg, 2019; 129, 1549−56. doi:  10.1213/ANE.0000000000004106
    [7] Regulation of disinfection technique in healthcare settings (WS/T 367-2012) The Health Industry Standard of the People's Republic of China, 2012.
    [8] Specification of hand hygiene for healthcare workers (WS/T 313-2019). The Health Industry Standard of the People's Republic of China, 2019.
    [9] Ning YT, Yang WH, Zhang W, et al. Developing two rapid protein extraction methods using focused-Ultrasonication and zirconia-silica beads for filamentous fungi identification by MALDI-TOF MS. Front Cell Infect Microbiol, 2021; 11, 687240. doi:  10.3389/fcimb.2021.687240
    [10] Stone S, Teare L, Cookson B. Guiding hands of our teachers. Lancet, 2001; 357, 479−80. doi:  10.1016/S0140-6736(05)71287-3
    [11] Pittet D, Hugonnet S, Harbarth S, et al. Effectiveness of a hospital-wide programme to improve compliance with hand hygiene. Lancet, 2000; 356, 1307−12. doi:  10.1016/S0140-6736(00)02814-2
    [12] Birnbach DJ, Rosen LF, Fitzpatrick M, et al. The use of a novel technology to study dynamics of pathogen transmission in the operating room. Anesth Analg, 2015; 120, 844−7. doi:  10.1213/ANE.0000000000000226
    [13] Munoz-Price LS, Birnbach DJ. Hand hygiene and anesthesiology. Int Anesthesiol Clin, 2013; 51, 79−92. doi:  10.1097/AIA.0b013e31826f2db6
    [14] Jefferson J, Whelan R, Dick B, et al. A novel technique for identifying opportunities to improve environmental hygiene in the operating room. AORN J, 2011; 93, 358−64. doi:  10.1016/j.aorn.2010.08.022
    [15] Cole DC, Baslanti TO, Gravenstein NL, et al. Leaving more than your fingerprint on the intravenous line: a prospective study on propofol anesthesia and implications of stopcock contamination. Anesth Analg, 2015; 120, 861−7. doi:  10.1213/ANE.0b013e318292ed45
    [16] DiDiodato G. Has improved hand hygiene compliance reduced the risk of hospital-acquired infections among hospitalized patients in Ontario? Analysis of publicly reported patient safety data from 2008 to 2011. Infect Control Hosp Epidemiol, 2013; 34, 605−10. doi:  10.1086/670637
    [17] Weinstein RA, Hota B. Contamination, disinfection, and cross-colonization: are hospital surfaces reservoirs for nosocomial infection? Clin Infect Dis, 2004; 39, 1182−9.
    [18] Huang SS, Datta R, Platt R. Risk of acquiring antibiotic-resistant bacteria from prior room occupants. Arch Intern Med, 2006; 166, 1945−51. doi:  10.1001/archinte.166.18.1945
    [19] Loftus RW, Koff MD, Brown JR, et al. The dynamics of Enterococcus transmission from bacterial reservoirs commonly encountered by anesthesia providers. Anesth Analg, 2015; 120, 827−36. doi:  10.1213/ANE.0000000000000123
    [20] Munoz-Price LS, Weinstein RA. Acinetobacter infection. N Engl J Med, 2008; 358, 1271−81. doi:  10.1056/NEJMra070741
    [21] Otter JA, Yezli S, French GL. The role played by contaminated surfaces in the transmission of nosocomial pathogens. Infect Control Hosp Epidemiol, 2011; 32, 687−99. doi:  10.1086/660363
    [22] Vajravelu RK, Guerrero DM, Jury LA, et al. Evaluation of stethoscopes as vectors of Clostridium difficile and methicillin-resistant Staphylococcus aureus. Infect Control Hosp Epidemiol, 2012; 33, 96−8. doi:  10.1086/663338
    [23] Bode LGM, Kluytmans JAJW, Wertheim HFL, et al. Preventing surgical-site infections in nasal carriers of Staphylococcus aureus. N Engl J Med, 2010; 362, 9−17. doi:  10.1056/NEJMoa0808939
    [24] Hidron AI, Edwards JR, Patel J, et al. Antimicrobial-resistant pathogens associated with healthcare-associated infections: annual summary of data reported to the national healthcare safety network at the centers for disease control and prevention, 2006-2007. Infect Control Hosp Epidemiol, 2008; 29, 996−1011. doi:  10.1086/591861
    [25] Huang SS, Yokoe DS, Hinrichsen VL, et al. Impact of routine intensive care unit surveillance cultures and resultant barrier precautions on hospital-wide methicillin-resistant Staphylococcus aureus bacteremia. Clin Infect Dis, 2006; 43, 971−8. doi:  10.1086/507636
    [26] Jain R, Kralovic SM, Evans ME, et al. Veterans Affairs initiative to prevent methicillin-resistant Staphylococcus aureus infections. N Engl J Med, 2011; 364, 1419−30. doi:  10.1056/NEJMoa1007474
    [27] Loftus RW, Muffly MK, Brown JR, et al. Hand contamination of anesthesia providers is an important risk factor for intraoperative bacterial transmission. Anesth Analg, 2011; 112, 98−105. doi:  10.1213/ANE.0b013e3181e7ce18
    [28] Krawczyk B, Wityk P, Gałęcka M, et al. The many faces of Enterococcus spp.-Commensal, probiotic and opportunistic pathogen. Microorganisms, 2021; 9, 1900. doi:  10.3390/microorganisms9091900
    [29] Orazi G, Collins AJ, Whitaker RJ. Prediction of prophages and their host ranges in pathogenic and commensal Neisseria species. mSystems, 2022; 7, e0008322. doi:  10.1128/msystems.00083-22
    [30] Ramos-Zayas A, López-Medrano F, Urquiza-Fornovi I, et al. The impact of healthcare-associated infections in patients undergoing oncological microvascular head and neck reconstruction: a prospective Multicentre study. Cancers, 2021; 13, 2109. doi:  10.3390/cancers13092109
    [31] Joga M, Palombo EA. Removal of contaminating bacteria from computers by disinfection and hand sanitation. Am J Infect Control, 2012; 40, 389−90. doi:  10.1016/j.ajic.2011.11.018
    [32] Koff MD, Brown JR, Marshall EJ, et al. Frequency of hand decontamination of intraoperative providers and reduction of postoperative healthcare-associated infections: a randomized clinical trial of a novel hand hygiene system. Infect Control Hosp Epidemiol, 2016; 37, 888−95. doi:  10.1017/ice.2016.106
    [33] Noritomi DT, Chierego M, Byl B, et al. Is compliance with hand disinfection in the intensive care unit related to work experience? Infect Control Hosp Epidemiol, 2007; 28, 362-4.
    [34] Pittet D, Stéphan F, Hugonnet S, et al. Hand-cleansing during postanesthesia care. Anesthesiology, 2003; 99, 530−5. doi:  10.1097/00000542-200309000-00006
    [35] Larson EL, Albrecht S, O’keefe M. Hand hygiene behavior in a pediatric emergency department and a pediatric intensive care unit: comparison of use of 2 dispenser systems. Am J Crit Care, 2005; 14, 304−11. doi:  10.4037/ajcc2005.14.4.304
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  • 收稿日期:  2022-04-15
  • 录用日期:  2022-08-18
  • 刊出日期:  2022-11-25

Hand Hygiene among Anesthesiologists and Microorganisms Contamination in Anesthesia Environments: A Single-Center Observational Study

doi: 10.3967/bes2022.128
    基金项目:  This work was supported by the Young Scientific Research Fund of PUMCH (Peking Union Medical College Hospital) [Grant No. pumch201911291]
    作者简介:

    LIU Hong Lei, male, born in 1985, Bachelor’s Degree, majoring in anesthesiology; LIU Ya Li, female, born in 1985, Doctor's Degree, majoring in clinical microbiology

    通讯作者: XU Ying Chun, Tel: 86-10-69159766, E-mail: xycpumch@139.com
注释:
1) CONFLICTS OF INTEREST:

English Abstract

LIU Hong Lei, LIU Ya Li, SUN Fang Yan, LI Zong Chao, TAN Hong Yu, XU Ying Chun. Hand Hygiene among Anesthesiologists and Microorganisms Contamination in Anesthesia Environments: A Single-Center Observational Study[J]. Biomedical and Environmental Sciences, 2022, 35(11): 992-1000. doi: 10.3967/bes2022.128
Citation: LIU Hong Lei, LIU Ya Li, SUN Fang Yan, LI Zong Chao, TAN Hong Yu, XU Ying Chun. Hand Hygiene among Anesthesiologists and Microorganisms Contamination in Anesthesia Environments: A Single-Center Observational Study[J]. Biomedical and Environmental Sciences, 2022, 35(11): 992-1000. doi: 10.3967/bes2022.128
    • Anesthesiologists play a decisive role in determining the mode of anesthesia, maintaining the stability of patients' intraoperative vital signs and implementing postoperative analgesia, and also in reducing healthcare-associated infections. Several studies have shown that anesthesiologists may still lack awareness in operating room infection control and self-monitoring of hand hygiene [1-6]. In China, very few studies concentrated on the effectiveness of hand hygiene among anesthesiologists or microorganisms contamination in anesthesia environments. In 2012 and 2019, China issued “Regulation of disinfection technique in healthcare settings” (WS/T 367-2012) and “Specification of hand hygiene for healthcare workers” (WS/T 313-2019) [7,8], respectively, which stipulated the maximum number of total viable counts monitored after environment disinfection and hand disinfection. Although the regulations were issued, not every health worker can comprehend and implement properly, nor the monitor is timely. In particular, the specific colony count also requires a lot of work to do, and not every hospital can meet the standard. Obtaining the baseline levels of microorganisms' growth on the hands of health workers and in the environment before and after disinfection is really important for the local government to set or adjust the standards or guidelines, but the data in China are still unclear. In this study, we only focused on the neglected population anesthesiologists, and tried to establish the baseline levels of microorganisms' growth on the hands of anesthesiologists and in the anesthesia environment from a single center’s point of view.

      To characterize the baseline levels of contamination on anesthesiologists' hands and in the anesthesia environment, we conducted a prospective observational study in nine operating rooms and on 25 anesthesiologists at a cancer hospital in 2021. We further studied the effectiveness of the decontamination on providers’ hands and in the anesthesia environment to help understand the necessity and practical frequency of decontaminating behaviors.

    • The study was approved by the appropriate Institutional Review Board (IRB), and the requirement for written informed consent was waived by the IRB.

    • This was an observational trial on a convenience sample performed in nine operating rooms and among 25 anesthesiologists at a cancer hospital over 2 consecutive months (June and July 2021). Sampling of the hands of these anesthesiologists and the anesthesia environment was performed at a ready-to-use operating room before patient contact began. After decontamination of hands (Apply a palmful of 70% alcohol and cover all surfaces of the hands. Rub hands more than 15 seconds until dry) and anesthesia environments (using a 5.5%–6.5% chlorine solution), sampling was repeated in 2 minutes after dry to help understand the effectiveness of decontaminating behaviors.

      A designated investigator sampled and recorded in the present study, he was notified to enter the operating room (randomly chosen by lot) in the morning of working days before all anesthesiologists and cleaning staff were informed. Considering the influence of different operation times on the results, only the first operation was employed for observation, and the operation time should be greater than 4 hours because the working table should be monitored at least 4 hours. The arrangement of the anesthesiologists and the operating room is carried out according to the normal schedule, some unexpected situations such as temporary shifts, cancellation of surgery, which leading to a situation where the same anesthesiologist entered the same operating room twice in different observational days should be excluded in analysis to make sure that all anesthesiologists and operating rooms were sampled and analyzed only once, but the inoculation on agar plates was duplicated. All anesthesiologists and cleaning staff could access his/her result and the best practice guidance[7, 8] after the investigation was finished.

    • As depicted in Figure 1, we first obtained bacterial or fungal cultures from the hands of anesthesiologists when they entered the operating room before contacting any surfaces to determine if they had performed active decontamination on their hands (WS/T 313-2019[8], handwashing at least 15 seconds) before entering the operating room (Figure 1, Panel A). After that, their hands were decontaminated with 70% alcohol in the standard manner from WS/T 313-2019 and WHO hand-hygiene guidelines (Apply a palmful of 70% alcohol and cover all surfaces of the hands. Rub hands more than 15 seconds until dry)[8], and then participants’ hands were sampled again for bacterial or fungal cultures to determine the effectiveness of decontaminating behavior in this situation (Figure 1, Panel A).

      Figure 1.  Protocol for sampling anesthesiologists’ hands (A), the anesthesia environment (B), and the anesthesia machine (C).

      Secondly, in ready-to-use operating rooms, we also sampled for bacterial or fungal cultures three parts of the anesthesia cart (Figure 1, Panel B) that anesthesiologists typically touched very often. We sampled these three parts of the anesthesia cart again 30 minutes after decontamination with 5.5%–6.5% chlorine solution, to determine the necessity and effectiveness of decontaminating behavior in this situation (Figure 1, Panel B).

      Thirdly, we sampled the monitor screen (Figure 1, Panel C 1), working table (Figure 1, Panel C 2), and keyboard and mouse (Figure 1, Panel C 3) of the anesthesia machine, the areas most frequently contacted by anesthesiologists. Thirty minutes after decontaminating them with 5.5%–6.5% chlorine solution, we sampled the three parts again to assess the necessity and effectiveness of decontaminating behavior in this situation (Figure 1, Panel C). In this study, we also monitored the microorganisms' growth sampled from the working table of the anesthesia machines at different time points to determine how soon there should be a repeat cleaning (Figure 1, Panel C).

    • The method of sampling the hands of anesthesiologists was based on the health industry standards of the People’s Republic of China: “Specification of hand hygiene for healthcare workers” (WS/T 313-2019)[8].

      Per these specifications, the five fingers of the tested anesthesiologists are held close together, and a sterile fiber test piece soaked with sterile normal saline is rubbed back and forth on the finger surface of both hands from the finger root to the finger end twice (the wiping area of one hand is 30 cm2), and then the sampling swab is rotated, the test piece is immersed in the sampling tube containing preservation solution, the hand contact part is bent off, and the tube is covered. After the sampling tube is thoroughly shaken, 0.2 mL of eluent with different dilution times is inoculated on BHI agar plates (duplicates), smeared evenly with a sterilized L rod, then placed in a 35–37 °C incubator for 48 hours. The number of colonies is calculated in the sampling area of a square centimeter (cm2). For hand disinfection, the total number of bacterial or fungal colonies monitored should be ≤ 10 CFU per cm2 (WS/T 313-2019)[8].

    • The method of sampling the anesthesia environment was based on WS/T 367-2012 [7]. Per these specifications, for sampling surfaces less than 100 cm2, all surfaces are taken; for surfaces > 100 cm2, 100 cm2 is sampled. One sterile fiber swab soaked with sterile normal saline is applied to the surface to be tested, applied vertically and back and forth five times within the range of 5 cm × 5 cm, and then the swab is rotated to continuously sample 1 to 4 areas. The swab is immersed into the sampling tube containing preservation solution, the hand contact part is bent off, and the tube is covered. After the sampling tube is thoroughly shaken, 0.2 mL of eluent with different dilution times is inoculated on BHI agar plates (duplicates), smeared evenly with a sterilized L rod, then placed in a 35–37 °C incubator for 48 hours. The number of colonies is calculated within a sampling area of a square centimeter. For operating rooms, the total number of bacterial or fungal colonies observed should be ≤ 5 CFU/cm2 (WS/T 367-2012) [7].

    • Microorganisms recovered from anesthesiologists’ hands and the anesthesia environment were identified by MALDI-TOF MS as previously described[9]. The acquisition and analysis of mass spectra were performed by the M-Discover 100 MS (MS-ID version v3.2, Zhuhai Meihua Medical Technology Co., Ltd. China). Per the instructions of the M-Discover 100 MS [9], identification scores of ≥ 90 indicated species-level identification, scores of 60–90 indicated genus-level identification, and scores of ≤ 60 were considered “not reliable” (NRI).

    • Microorganisms’ growth from samples of anesthesiologists’ hands and anesthesia environments before and after disinfection were statistically evaluated employing the two-tailed Mann-Whitney test (Figures 23). Comparison of microorganisms’ growth of monitor screen, working table, and keyboard and mouse before and after disinfection were statistically evaluated using one-way ANOVA test (multiple comparisons) (Figures 45). A P-value < 0.05 was considered significant.

      Figure 2.  Baseline microorganisms' growth on the hands of anesthesiologists and the effectiveness of disinfection. (A) and (B) represent microorganisms' growth before and after hands disinfection in terms of the total CFUs and number of species, respectively. (C) and (D) indicate microorganisms' growth before and after hands disinfection between male and female anesthesiologists in terms of total CFUs, respectively. (E) and (F) represent microorganisms' growth before and after hands disinfection between male and female anesthesiologists in terms of number of species, respectively. CFU, colony-forming units. The two-tailed Mann-Whitney test was used in this section, and a P-value < 0.05 was considered significant.

      Figure 3.  Baseline microorganisms' growth in the anesthesia environment and the effectiveness of disinfection. (A) and (B) represent microorganisms' growth before and after disinfection at the key board and mouse in terms of CFUs and number of species, respectively. (C) and (D) indicate microorganisms' growth before and after disinfection at the medicative cart in terms of CFUs and number of species, respectively. (E) and (F) represent microorganisms' growth before and after disinfection at the monitor in terms of CFUs and number of species, respectively. CFU, colony-forming units. The two-tailed Mann-Whitney test was used in this section, and a P-value < 0.05 was considered significant.

      Figure 4.  Comparison of microorganisms' growth among different parts of anesthesia environment and the effectiveness of disinfection. (A) and (B) represent microorganisms' growth before and after disinfection at different parts of anesthesia environment in terms of CFUs, respectively. CFU, colony-forming units. The one-way ANOVA test (multiple comparisons) was used in this section, and a P-value < 0.05 was considered significant.

    • The microorganisms' growth results from the hands of the 25 anesthesiologists sampled at a ready-to-use operating room before patient contact showed that the overall mean number of total CFUs and CFU/cm2 were 407 (range: 2–2091) and 7 (range: 0–35) (Figure 2, Supplementary Table S1, available in www.besjournal.com), respectively. Five anesthesiologists’ hands (Providers 3, 7, 10, 23, and 25) (5/25, 20%) carried microorganisms more than 10 CFU/cm2 (Supplementary Table S1, Figure 2). Only one major pathogen Staphylococcus aureus was isolated, from 5/25 anesthesiologists (20%; Providers 1, 2, 3, 4, and 13) (Supplementary Table S1, Figure 2). Considering the possible impact of gender, we compared the microorganisms' growth between male and female anesthesiologists before uniform disinfection, and found no differences (Figure 2). Not surprisingly, after disinfection, the microorganism growth significantly decreased regardless of the total CFUs (P < 0.0001) or the number of species (P < 0.0001), but obvious divergences were determined between male and female providers, notably that female anesthesiologists performed hand hygiene better than male anesthesiologists, resulting in fewer CFUs (P = 0.0069) and fewer species (P = 0.0202) (Figure 2).

      Table S1.  Bacterial growth on the hands of anesthesiologists before and after disinfection

      NameGenderBefore Disinfection of HandsAfter Disinfection of Hands
      CFU/totalCFU/cm2BacteriaCFU/totalCFU/cm2Bacteria
      Provider 1M1142Brevibacillus parabrevis10Bacillus cereus
      Kocuria marina
      Staphylococcus aureus
      Staphylococcus epidermidis
      Staphylococcus hominis
      Provider 2M3055Staphylococcus epidermidis30Bacillus megaterium
      Bacillus cereusStaphylococcus capitis
      Moraxella osloensis
      Kocuria rhizophila
      Staphylococcus aureus
      Staphylococcus hominis
      Provider 3M95016Staphylococcus aureus3045Micrococcus luteus
      Staphylococcus haemolyticusKocuria palustris
      Micrococcus luteusStaphylococcus aureus
      Staphylococcus capitis
      Staphylococcus warneri
      Provider 4M280Bacillus firmus60Lactobacillus plantarum
      Bacillus megateriumStaphylococcus capitis
      Enterobacter cloacaeStaphylococcus epidermidis
      Staphylococcus aureus
      Staphylococcus capitis
      Staphylococcus epidermidis
      Provider 5M891Bacterium*20Corynebacterium tuberculostearicum
      Neisseria mucosaStaphylococcus epidermidis
      Staphylococcus capitis
      Staphylococcus epidermidis
      Staphylococcus hominis
      Staphylococcus pettenkoferi
      Provider 6M3306Corynebacterium tuberculostearicum30Bacterium*
      Micrococcus antarcticusMicrococcus luteus
      Staphylococcus epidermidisBacterium*
      Provider 7M200033Staphylococcus capitis70Staphylococcus epidermidis
      Kocuria marina
      Provider 8M100Bacillus cereus80Bacillus cereus
      Bacillus megateriumStaphylococcus capitis
      Moraxella osloensis
      Bacterium*
      Provider 9M20Aerococcus viridans00
      Lactobacillus fermentum
      Provider 10M135223Acinetobacter baumannii150Bacillus flexus
      Acinetobacter nosocomialisBrevibacterium linens
      Brevibacterium linensSphingomonas aerolata
      Staphylococcus epidermidis
      Sphingomonas paucimobilis
      Provider 11M3526Bacillus cereus130Bacillus infantis
      Bacillus flexusBacillus megaterium
      Bacillus infantisBacillus simplex
      Bacillus megateriumStaphylococcus cohnii
      Dermacoccus nishinomiyaensis
      Provider 12M1092Bacillus megaterium20Micrococcus luteus
      Micrococcus luteus
      Neisseria meningitidis
      Serratia rubidaea
      Staphylococcus sp
      Provider 13F1202Micrococcus luteus20Bacillus horikoshii
      Moraxella spStaphylococcus capitis
      Staphylococcus hominis
      Staphylococcus aureus
      Provider 14F671Micrococcus luteus20Bacillus pseudofirmus
      Ralstonia syzygii
      Staphylococcus capitis
      Provider 15F771Micrococcus luteus00
      Staphylococcus epidermidis
      Staphylococcus hominis
      Provider 16F150Bacterium*00
      Kocuria marina
      Staphylococcus capitis
      Staphylococcus hominis
      Provider 17F2023Bacillus mojavensis110Brevibacillus borstelensis
      Kocuria rhizophilaBrevibacterium linens
      Staphylococcus sciuriBacterium*
      Staphylococcus epidermidis
      Provider 18F20Bacillus subtilis00
      Staphylococcus capitis
      Provider 19F4508Brevibacterium linens0
      Bacterium*
      Provider 20F1272Acinetobacter pittii20Bacillus idriensis
      Brevundimonas vesicularisMicrococcus antarcticus
      Yeast*
      Micrococcus luteus
      Ralstonia syzygii
      Staphylococcus caprae
      Provider 21F1032Pasteurella dagmatis00
      Brachybacterium conglomeratum
      Bacterium*
      Brachybacterium conglomeratum
      Provider 22F601Bacillus cereus50Neisseria perflava
      Staphylococcus cohnii
      Staphylococcus epidermidis
      Provider 23F104717Bacillus cereus00
      Bacillus megaterium
      Staphylococcus cohnii
      Staphylococcus saprophyticus
      Provider 24F1833Bacillus cereus00
      Provider 25F209135Bacillus sp20Bacillus circulans
      Brevibacterium casei
      Neisseria meningitidis
        Note. *Indicates identification scores of ≤ 60, considered “not reliable”. CFU, colony-forming units.
    • In this study, anesthesia environment samples were obtained from all nine operating rooms at the hospital. In each ready-to-use operating room we sampled the anesthesia cart, monitor screen, working table, and keyboard and mouse of the anesthesia machine (Figure 1). The microorganisms' growth results showed that the overall mean numbers of total CFUs found on the anesthesia cart, monitor screen, working table, and keyboard and mouse of the anesthesia machine were 376 (range: 36–1,114), 13 (range: 0–50), 223 (range: 13–684), and 469 (range: 38–2,000) (Supplementary Tables S2 and S3, available in www.besjournal.com), respectively. Based on CFU/cm2 results, five of the nine operating rooms (55.6%) carried microorganisms more than 5 CFU/cm2 on the anesthesia cart (Rooms 3 & 8), working table (Room 7), or the keyboard and mouse of anesthesia machine (Rooms 1 & 9) (Supplementary Tables S2 and S3). One major pathogen, Staphylococcus aureus, was isolated in three rooms (33.3%; Rooms 1, 3, and 7) (Supplementary Tables S2 and S3). Considering the importance of disinfection, we disinfected the working areas determined in this study with 5.5%–6.5% chlorine and then re-sampled after 30 minutes. Not surprisingly, after disinfection, microorganisms' growth significantly decreased regardless of the total CFUs (P < 0.05) or numbers of species (P < 0.05) (Figure 3). Furthermore, Figure 4 shows that the microorganisms' growth are very likely to be hand contact-related because the keyboard and mouse of the anesthesia machines, as the most frequently touched areas, carried the highest number of colonies, whereas the monitor screens carried the fewest colonies; these differences remained statistically significant even after disinfection. In this study, we also monitored the microorganisms' growth sampled from the working table of the anesthesia machines at different time points to determine how soon a repeat cleaning is needed. The results showed that microorganisms regrowth began 1 hour after disinfection, and increased gradually over time (Figure 5) until reaching an excessive amount (> 5 CFU/cm2) at 4 hours after disinfection (Supplementary Table S3).

      Figure 5.  Microorganisms’ growth on anesthesia machines (working tables) and the effectiveness of disinfection. CFU, colony-forming units.

      Table S2.  Bacterial growth in the anesthesia environment before and after disinfection

      No. of Operating RoomBefore disinfection
      (Keyboard and Mouse)
      After disinfection
      (Keyboard and Mouse)
      Before disinfection
      (Medicative Cart)
      After disinfection
      (Medicative Cart)
      Before disinfection
      (Monitor)
      After disinfection
      (Monitor)
      CFU/total; CFU/cm2BacteriaCFU/total; CFU/cm2BacteriaCFU/total; CFU/cm2BacteriaCFU/total; CFU/cm2BacteriaCFU/total; CFU/cm2BacteriaCFU/total; CFU/cm2Bacteria
      12,000; 20Micrococcus luteus1; 0Moraxella sp129; 1Bacillus firmus0; 00; 00; 0
      Staphylococcus epidermidisBacillus licheniformis
      Staphylococcus pasteuriKocuria rosea
      Bacterium*
      Bacterium*
      Staphylococcus hominis
      Staphylococcus pasteuri
      2106; 1Bacterium*2; 0Bacillus sp203; 2Bacillus megaterium8; 0Micrococcus luteus0; 00; 0
      Bacillus simplexStaphylococcus epidermidisKocuria rhizophilaStaphylococcus capitis
      Nocardia higoensisStaphylococcus cohniiStaphylococcus epidermidis
      Bacterium*Staphylococcus epidermidis
      Staphylococcus cohniiStaphylococcus hominis
      Staphylococcus haemolyticus
      3548; 5Corynebacterium aurimucosum60; 1Corynebacterium tuberculostearicum637; 6Arthrobacter aurescens10; 0Yeast*31; 0Micrococcus luteus0; 0
      Micrococcus luteusStaphylococcus capitisKocuria palustrisMicrococcus antarcticusMoraxella osloensis
      Kocuria marinaMicrococcus antarcticusBacterium*Staphylococcus hominis
      Staphylococcus hominisMoraxella osloensisStaphylococcus haemolyticus
      Staphylococcus warneriStaphylococcus cohnii
      Staphylococcus hominis
      438; 0Kocuria rhizophila17; 0Staphylococcus hominis100; 1Bacillus cereus1; 0Paenibacillus lautus50; 1Bacillus cereus0; 0
      Staphylococcus epidermidisMicrococcus luteusKocuria rhizophila
      Staphylococcus pettenkoferiStaphylococcus epidermidisStaphylococcus epidermidis
      Staphylococcus haemolyticusStaphylococcus hominis
      Staphylococcus lugdunensis
      591; 1Bacterium*1; 0Paenibacillus glucanolyticus208; 2Corynebacterium aurimucosum0; 06; 0Moraxella osloensis0; 0
      Kocuria roseaMicrococcus antarcticusStaphylococcus warneri
      Staphylococcus epidermidisStaphylococcus warneri
      Staphylococcus hominis
      Bacterium*
      6416; 4Micrococcus luteus46; 0Micrococcus luteus488; 5Acinetobacter lwoffii0; 010; 0Staphylococcus cohnii0; 0
      Staphylococcus epidermidisPseudomonas luteolaMicrococcus luteusStaphylococcus epidermidis
      Staphylococcus haemolyticusStaphylococcus saprophyticusStaphylococcus cohnii
      Staphylococcus hominis
      7202; 2Escherichia coli5; 0Actinomyces funkei36; 0Bacillus cereus6; 0Bacillus licheniformis15; 0Bacillus subtilis6; 0Bacillus firmus
      Moraxella osloensisMicrococcus antarcticusMicrococcus luteusStaphylococcus capitisBacillus licheniformis
      Staphylococcus aureusStaphylococcus epidermidisMoraxella osloensisStaphylococcus epidermidisLactobacillus paracasei
      Staphylococcus hominisStaphylococcus haemolyticusLysinibacillus sphaericus
      8197; 2Dietzia maris12; 0Enterococcus pallens1114; 11Yeast*2; 0Micrococcus luteus0; 00; 0
      Kocuria rhizophilaMicrococcus luteusPandoraea pulmonicolaStaphylococcus capitis
      Staphylococcus epidermidisStaphylococcus hominis
      Staphylococcus haemolyticusStaphylococcus saprophyticus
      9621; 6Bacillus idriensis11; 0Micrococcus antarcticus471; 5Yeast*5; 0Kocuria rosea5; 0Bacterium*0; 0
      Bacterium*Micrococcus luteusStaphylococcus epidermidisBacillus spStaphylococcus hominis
      Staphylococcus cohniiStaphylococcus epidermidisStaphylococcus haemolyticus
      Staphylococcus epidermidis
      Staphylococcus warneri
        Note. *Indicates identification scores of ≤ 60, considered “not reliable”. CFU, colony-forming units.

      Table S3.  Bacterial growth in the anesthesia environment (working table) before and after disinfection

      No. of Operating RoomBefore Table DisinfectionAfter Table Disinfection
      (0 hours)
      After Table Disinfection
      (1 hour)
      After Table Disinfection
      (2 hours)
      After Table Disinfection
      (3 hours)
      After Table Disinfection
      (4 hours)
      CFU/total; CFU/cm2BacteriaCFU/total; CFU/cm2BacteriaCFU/total; CFU/cm2BacteriaCFU/total; CFU/cm2BacteriaCFU/total; CFU/cm2BacteriaCFU/total; CFU/cm2Bacteria
      1110; 1Micrococcus antarcticus2; 0Staphylococcus hominis19; 0Bacillus mycoides60; 1Kocuria rosea133; 1Pseudomonas avellanae252; 3Micrococcus luteus
      Micrococcus luteusStaphylococcus epidermidisPaenibacillus apiariusStaphylococcus capitisStaphylococcus capitis
      Staphylococcus aureusStaphylococcus hominisStaphylococcus cohniiStaphylococcus haemolyticusStaphylococcus epidermidis
      Staphylococcus capitisStaphylococcus hominisStaphylococcus hominisStaphylococcus haemolyticus
      Staphylococcus cohniiBacterium*
      Staphylococcus hominis
      2345; 3Kocuria rosea10; 0Bacillus megaterium43; 0Bacillus megaterium50; 1Bacillus vallismortis51; 1Yeast*54; 1Bacillus subtilis
      Moraxella osloensisBacillus spBacillus spKocuria rhizophilaKocuria roseaBacterium*
      Staphylococcus capitisKocuria rhizophilaBacterium*Neisseria perflavaStaphylococcus capitisMoraxella osloensis
      Staphylococcus epidermidisStaphylococcus hominisStaphylococcus epidermidisStaphylococcus capitisStaphylococcus cohniiStaphylococcus epidermidis
      Staphylococcus haemolyticusStaphylococcus epidermidisStaphylococcus epidermidisStaphylococcus kloosii
      Staphylococcus pettenkoferiBacterium*
      3445; 4Bacillus pseudofirmus6; 0Staphylococcus epidermidis47; 0Micrococcus luteus57; 0Candida parapsilosis72; 1Bacterium*115; 1Moraxella osloensis
      Kocuria rhizophilaStaphylococcus hominisStaphylococcus aureusStaphylococcus hominisBrachybacterium conglomeratumYeast*
      Moraxella osloensisStaphylococcus haemolyticusStaphylococcus haemolyticusStaphylococcus epidermidis
      Staphylococcus aureusStaphylococcus sciuriStaphylococcus saprophyticus
      Staphylococcus capitis
      Staphylococcus epidermidis
      Staphylococcus hominis
      430; 0Kocuria marina0; 03; 0Bacterium*25; 0Bacterium*175; 2Yeast*719; 7Yeast*
      Paenibacillus chitinolyticusStaphylococcus capitisEnterobacter cloacaeMicrococcus antarcticusMicrococcus luteus
      Bacterium*Staphylococcus epidermidisMicrococcus luteusMoraxella osloensis
      Staphylococcus hominisStaphylococcus capitisStaphylococcus capitis
      5684; 7Bacterium*1; 0Bacterium*6; 0Staphylococcus capitis18; 0Bacillus cohnii34; 0Bacillus sp264; 3Bacterium*
      Neisseria subflavaYeast*Staphylococcus cohniiStaphylococcus warneri
      Staphylococcus hominisStaphylococcus lugdunensis
      Staphylococcus sciuriBacterium*
      6115; 1Bacillus cereus1; 0Staphylococcus hominis3; 0Bacterium*3; 0Brevibacterium iodinum20; 0Micrococcus luteus24; 0Bacillus megaterium
      Enterobacter cloacaeStaphylococcus cohniiBacterium*Paenibacillus massiliensisMoraxella sp
      Micrococcus antarcticusStaphylococcus epidermidisKocuria marinaPseudomonas flavescensStaphylococcus cohnii
      Staphylococcus cohniiStaphylococcus epidermidisStaphylococcus hominis
      774; 1Kocuria marina7; 0Bacillus mannanilyticus40; 0Neisseria perflava42; 0Staphylococcus epidermidis65; 1Micrococcus luteus201; 2Bacillus megaterium
      Micrococcus antarcticusLactobacillus paracaseiRothia mucilaginosaStaphylococcus haemolyticusNeisseria flavescensNeisseria flavescens
      Staphylococcus capitisNeisseria perflavaStaphylococcus aureusStaphylococcus pettenkoferiNeisseria siccaStaphylococcus hominis
      Staphylococcus epidermidisStaphylococcus haemolyticusStaphylococcus hominisRothia mucilaginosa
      Staphylococcus haemolyticus
      813; 0Kocuria rhizophila0; 05; 0Arcanobacterium phocae8; 0Bacillus cereus11; 0Staphylococcus epidermidis105; 1Alkalibacillus haloalkaliphilus
      Kocuria roseaCardiobacterium spCorynebacterium spStaphylococcus haemolyticusMicrococcus luteus
      Moraxella osloensisStaphylococcus hominisKocuria palustrisStaphylococcus capitis
      Staphylococcus capitisStaphylococcus haemolyticusStaphylococcus epidermidis
      Staphylococcus hominis
      9187; 2Bacillus simplex0; 01; 0Staphylococcus haemolyticus3; 0Bacillus smithii6; 0Micrococcus luteus10; 0Corynebacterium afermentans
      Staphylococcus epidermidisMicrococcus antarcticusStaphylococcus epidermidisStaphylococcus hominis
      Staphylococcus hominisStaphylococcus epidermidisStaphylococcus hominisStaphylococcus warneri
      Staphylococcus saprophyticus
        Note. *Indicates identification scores of ≤ 60, considered “not reliable”. CFU, colony-forming units.
    • Hand-mediated transmission is a paramount factor causing infection associated with healthcare [10]. Effective and timely hand disinfection before patient contact will decrease the incidence of transfer of potential pathogens [11]. Anesthesiologists are usually a neglected population who may still lack consciousness in operating room infection control and hand hygiene [1-6]. In China, two regulatory instructions were issued on regulation of disinfection in healthcare settings (WS/T 367-2012) and health workers [7, 8], but whether the anesthesiologists and cleaning staff implemented properly was still unknown. In this study, microorganisms’ growth results showed that the hands of 20% (5/25) of anesthesiologists carried excessive bacteria or fungi, and significantly decreased after disinfection with fewer CFUs and species. It is well worth mentioning that the method of hand hygiene used in this study had already been standardized (WS/T 313-2019) [8], specifying that the whole hand and fingers (particularly the tips) should be exposed to the alcohol hand sanitizer after rubbing them for 10 to 15 seconds, and that alcohol hand sanitizer should be conveniently placed. We found that female anesthesiologists performed hand hygiene better than did their male counterparts, because men had a higher CFU count and number of species. Therefore, male anesthesiologists need to pay more attention to the standard operating procedures and effect evaluation of hand hygiene. However, whether the results mentioned above indicate that male anesthesiologists are more likely to cause hand-mediated transmission and higher incidence of subsequent hospital-acquired infections remains unknown and will require further study.

      Surfaces in the anesthesia environment, especially the anesthesia cart and the anesthesia machine, which are used frequently during operations, are often neglected as important potential sources of bacterial transmission [12]. Munoz-Price and Birnbach [13] found that pathogenic organisms were present in 16.6% of ready-to-use operating room surfaces. Our study found that 55.6% of ready-to-use operating rooms carried excessive bacteria or fungi on the anesthesia cart, working table, or keyboard and mouse of anesthesia machine (Supplementary Tables S2 and S3). Disinfection can largely reduce microorganisms' growth with fewer CFUs (P < 0.05) and number of species (P < 0.05) (Figure 3), but the regrowth began quickly (1 hour) after disinfection, and increased gradually over time (Figure 5) until reaching excessive levels at 4 hours after disinfection (Supplementary Table S3). Jefferson et al. [14] evaluated 71 operating rooms across six acute care hospitals and found an average daily cleaning rate of 25% of the objects monitored. A similar study [13] also found a baseline daily cleaning rate of 47%. In this study, all operating rooms are cleaned daily. Yet the results of this study confirm that daily cleaning rate may be insufficient because unawareness of hand contact with excessively bacteria-colonized surfaces may increase the risk of subsequent hospital-acquired infections.

      The hospital environment is a major reservoir of multidrug-resistant bacteria, including MRSA, vancomycin-resistant enterococci, C. difficile, and A. baumannii [15-21], even in areas such as operating rooms that were previously thought to be “sterile” [22]. Staphylococcus aureus, usually colonized on the skin of human beings and on environmental surfaces, is a common cause of healthcare-associated infections worldwide and has become a major screened and monitored pathogen on admission as a key infection prevention strategy [23-26]. In this study, the major pathogen Staphylococcus aureus was isolated from the hands of 20% of anesthesiologists and in 33.3% of operating rooms, but we did not determine the antimicrobial susceptibility of these isolates, and therefore whether they were MRSA or MSSA is unknown. Loftus et al [27] found that 7% (12/164) and 11% (18/164) of anesthesia providers’ hands were contaminated with MRSA and MSSA, respectively, and MRSA and MSSA can also be isolated from anesthesia machines.

      A key point of the present study is giving us a specific name list of all possible pathogens in hands of anesthesiologists and in the anesthesia environment. Most of the detected species were not thought to be pathogenic, but commensal species have been confirmed to serve as reservoirs of antibiotic resistance and virulence genes for the pathogenic species [28,29], which may not take a toll on patients now but long-term colonization on surfaces in the anesthesia environment is still a potential risk because patients admitted in cancer hospitals are usually more vulnerable to microorganisms [30]. It is also worth mentioning that we found that the number of detected species seemed to change much less than the counts. This is likely to be expected, previous study [31] also reported that cleaning procedures were very effective in eliminating coliforms, in contrast, gram-positive bacteria were not totally eliminated, possibly due to the greater resistance of gram-positive bacteria (with their thicker peptidoglycan cell wall layer) to ethanol-based sanitizers and disinfectants.

      There are some limitations in this study. Firstly, because this is a single-center study, the results obtained may not be applicable to other hospitals. Secondly, we sampled hands only in the short time period immediately before patient contact, which may underestimate the importance of hand hygiene throughout the entire process of patient care because Loftus and others [32-35] suggested that hand hygiene use of 4–8 times/hour reduced surgical site infections. Thirdly, the test procedures employed in the present study were dictated by the national standards, which probably limit the external validity.

      Despite these limitations, we characterized the baseline levels of contamination on the hands of anesthesiologists and in the anesthesia environment. Our study indicates that male anesthesiologists need to pay more attention to the standard operating procedures and effect evaluation of hand hygiene, daily cleaning rate of the operating room may be insufficient, and we would suggest that there should be a repeat cleaning every four hours. These results of this study provide a theoretical basis for the formulation of future measures to control and prevent nosocomial infection.

    • LIU Hong Lei helped design the study, conduct the study, analyze the data, and write the manuscript. LIU Ya Li helped design the study, has seen the original study data, reviewed the analysis of the data, approved the final manuscript. LI Zong Chao has seen the original study data, reviewed the analysis of the data, approved the final manuscript. TAN Hong Yu, SUN Fang Yan and XU Ying Chun helped design the study, approved the final manuscript.

参考文献 (35)
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