P247: Incidence of healthcare associated infections (HAIs) in maternity & children’s hospital
- M Abdelnasser1
© Abdelnasser; licensee BioMed Central Ltd. 2013
Published: 20 June 2013
Surveillance of healthcare associated infections (HAIs) is an important step in detecting the pattern of infection prevalent in any hospital.
The following study aimed at analyzing the HAIs rates in a Maternity & Children’s Hospital (MCH) in relation to body sites.
The study included 12 monthly HAIs of the Maternity & Children’s Hospital, Najran, Saudi Arabia during the year 1430 H (2009G). The total number of beds was 200 and the total number of admission was 15237 patients.
The overall annual infection rate ranged from 0.5-1.3% and the incident ratio of HAI’s ranged from 1.3-3.7/1000 patients days. The total number of patients with HAIs was 117. In this study the most common site affected with HAIs was urinary tract (10-71.4%), followed by blood (30.3-60%), surgical site (10-25%) and respiratory tract (10-25%), The most predominant microorganisms isolated from patients were E.coli (33/117, 28.2%), followed by Coagulase negative Staphylococci (27/117,23.1%),Klebsiella pneumoniae (18/117,15.4%), Pseudomonas aeruginosa (15/117,12.8%) and Staphylococcus aureus (7/117, 6.0 %; two of them were methicillin resistant). Other organisms as Enterobacter cloacae, Enterococcus spp . and Candida spp. were recovered at a rate of 2-3%. Influenza virus (H1N1) was detected in one patient. The most common sites of infection in relation to these organisms were urinary tracts (17 /32, 53.1% of patients with E.coli), followed by blood (26 /56, 46.4% of patients with Coagulase negative Staphylococci), surgical sites (4 /19, 21.0% of patients with E.coli).
The current study stressed on the importance of surveillance in detecting the most common organism(s) causing HAIs in certain MCH. It also helps in setting up a plan for the prevention and control of these infections.
Disclosure of interest
M. Abdelnasser Other Professor of Microbiology & Infection Control
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