Intensive Care Units and Operating Rooms Bacterial Load and Antibiotic Susceptibility Pattern
Journal of Surgery
Volume 4, Issue 2, April 2016, Pages: 60-64
Received: Aug. 17, 2015;
Accepted: Aug. 26, 2015;
Published: May 30, 2016
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Mengistu Hailemariam, Department of Medical Laboratory Sciences, College of Medicine and Health Sciences, Hawassa University, Hawassa, Ethiopia
Mesfin Worku, Department of Medical Laboratory Sciences, College of Medicine and Health Sciences, Hawassa University, Hawassa, Ethiopia
Elshadie Azerefegne, Medical Laboratory Unit, Hawassa University Referral Hospital, Hawassa, Ethiopia
Introduction. The indoor air environment can potentially place patients at a greater risk because enclosed spaces can confine aerosols and allow them to build up to infectious levels as a result, this study intended to determine the bacterial load and antibiotic susceptibility pattern in operating theater (OR) and intensive care unit (ICU) at Hawassa University Referral Hospital. Methods. A cross sectional study was conducted to measure indoor air microbial quality from Nov 2014 to February 2015 on 120 air samples collected from selected sites in 15 rounds using purposive sampling technique by Settle Plate Method (Passive Air Sampling following 1/1/1 Schedule). Sample processing and antimicrobial susceptibility testing was done using standard microbiological methods. The data was analyzed using SPSS version 16.0 and was inferred based on baseline values recommended by Fisher. Result. The mean bacterial load of ICU 454.2 CFU/dm2 was recorded. Likewise, at OR during active, 87.27 CFU/dm2 and 13.12/CFU/dm2 during passive were recorded. Compared to the standard set by Fisher, the ICU and OR while at passive were higher than the acceptable limit. Among the isolated six bacteria, S. aurous 36 (30%) was the predominant species in both OR and ICU were as p. auriginosa 16 (26.7%) was the second prevailing isolates at ICU. S. aureus was highly resistant to penicillin, tetracycline 86.1%, 72.2% respectively were as P. auriginosa showed low level resistance to Ciprofloxacin (22.2%), Cotrimoxazole (27.7%) and Ceftriaxon (16.7%). Conclusion. This finding indicates that resistant isolates for the commonly used drugs and high bacterial load of indoor air judges the risk factor for SSI as well more risking ICU patients. Hence adequate attention should be given to maintenance of proper hygiene in the ICU and OR environments since it is well known those patients are highly susceptible to microbial infection.
Intensive Care Units and Operating Rooms Bacterial Load and Antibiotic Susceptibility Pattern, Journal of Surgery.
Vol. 4, No. 2,
2016, pp. 60-64.
Napoli C, Marcotrigiano V and Montagna MT. Air sampling procedures to evaluate microbial contamination: A comparison between active and passive methods in operating theaters, BMC Puplic health, 2012, vol 12, pp 594.
De Souza AL, Seguro AC. Gram staining: an unexplored diagnos¬tic tool for diagnosis of meningococcal infection in the develop¬ing world. J Emerg Med. 2009; 37(1):83-4.
Landrin A, Bissery A, Kac G. Monitoring air sampling in operating theatres: can particle counting replace microbiological sampling? J Hosp Infect 2005; 61: 27–9.
Griffith CJ, Cooper RA, Gilmore J, Davies C, Lewis M. An evaluation of hospital cleaning regimes and standards. J Hosp Infect., 2000, 45(1), 19-28 [PMID: 10833340].
Archibald L, Phillips L, Monnet D, McGowan JE Jr, Tenover F, Gaynes R. Antimicrobial resistance in isolates from inpatients and outpatients in the United States: increasing importance of the intensive care unit. Clin Infect Dis., 1997, 24(2), 211-5 [PMID: 9114149].
Vincent JL, Bihari DJ, Suter PM, Bruining HA, White J, Nicolas-Chanoin MH, Wolff M, Spencer RC, Hemmer M. The prevalence of nosocomial infection in intensive care units in Europe. JAMA, 1995, 274, 639-44 [PMID: 7637145].
Pasquarella C, Pitzurra O, Savino A (2000). The index of microbialair contamination (review). J Hosp Infect 2000; 46: 24156.
Andersson AE, Bergh I, Karlsson J, Eriksson BI, Nilsson K (2012). Traffic flow in the operating room. An explorative and descriptive study on air quality during orthopedictraumaim plants surgery. Am. J. Infect. Control40 (8): 750-755.
World Health Organization. Basic laboratory procedures in clinical bacteriology. Geneva. 1991. Available at: http://whqlibdoc. who. int/publications/2003/9241545453.pdf accessed on February 16, 2010.
Clinical Laboratory Standards Institute (2012). Performance standards for antimicrobial susceptibility testing; twenty- second information supplement. CLSI. 3: 1-183.
Fisher G, Fodré S, Nehéz M (1972).Das Ergebnis der Unter suchungen zur Feststellungs von Gesamt keimzahl- Grenz werten in der Luft von Operations raumen. English version can be found on are view article by Pasquarella Cet al Z Ges Hyg 1972; 18: 729–733.
Khalid Khadoura, Samir Afifi, Yousef Aljeesh. Environmental Infection Control in Intensive Care Units at Gaza Governorates: Interventional Study, Journal of Natural Sciences Research Vol. 4, No. 23, pp 156-165, 2014.
Carlos A. Rocha, Náyila A. Báez, Evelys V. Villarroel, Gisela M. Quintero. Study of Bioaerosols in Surgical Theaters and Intensive Care Units from a Public General Hospital The Journal of Bioscience and Medicine 2, 3 (2012).
Deepa S, Abishek MU, Venkatesha D. The air as harbinger of infections in critical care units. Medical Science, 2014, 8(28), 8-13.
Marie Vackova, Irena Hanovcova, Jan Smetana, Roman Chlibek, Vanda Bostikova, Miroslav Splino. Microbial Air Load at the Transplant Intensive Care Unit, Mil. Med. Sci. Lett. (Voj. Zdrav. Listy) 2011, Vol. 80, P. 52-57.
Tewelde Tesfaye Gebremariam, Kibrom Gebreselassie Desta, Yibrah Berhe Zelelowand Saravanan Muthupandian (2015). Microbial load of operating the atreat Ayder Referral Hospital, Northern Ethiopia African Journal of Microbiology Research; vol 9(9):639-642, 2015.
Qudiesat K., K. Abu-Elteen, A. Elkarmi, M. Hamad and M. Abussaud (2009). Assessment of airborne pathogens in health care settings; African Journal of Microbiology Research Vol. 3 (2) pp. 066-076 February, 2009. Available online http://www.academicjournals.org/ajmr.
Genet C, Kibru G, Tsegaye W (2011). Indoorair bacterial load and an tibioticsus ceptibility pattern ofisolates in operating rooms and surgical wards at Jimma University specialized hospital, southwest Ethiopia. Ethiop. J. Health Sci. 21(1):9-17.
Ekhaise FO, Isitor EE, Idehen O, Emogbene OA (2010). Air born emicro florain the at mosphere of an hospital environment of University of Benin Teaching Hospital (UBTH), Benin City, Nigeria. World J Agric Sci, 2010; 6:166-170.
Shiaka, G. Peter1 and Yakubu, S (2014). Indoor Airborne Bacterial Concentration of a Private-Owned Hospital Laboratory in Samaru-Zaria Journal of Biology, Agriculture and Healthcare Vol. 4, No. 20, 2014.
Maksum Radji, Siti Fauziah, Nurgani Aribinuko. Antibiotic sensitivity pattern of bacterial pathogens in the intensive care unit of Fatmawati Hospital, Indonesia Asian Pac J Trop Biomed 2011; 1(1): 39-42.
Ping-Yun Huang, Zhi-Yuan Shi, Chi-Hao Chen, Walter Den, Hui-Mei Huang, Jaw-Ji Tsai. Airborne and Surface-Bound Microbial Contamination in Two Intensive Care Units of a Medical Center in Central Taiwan Aerosol and Air Quality Research, 13: 1060–1069, 2013.
AlLaham NA (2012). Distribution and Antimicrobial Resistance Pattern of Bacteria Isolated from Operation The aters at Gaza Strip. J. Al Azhar University-Gaza. 14: 19-34.
Bhatia, L. (2011). Impact of Bioaerosols on indoor air quality-A growing concern. Advances in bioresearch 2(2): 120-123.