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Incidence and predictors of surgical site infection in Ethiopia: prospective cohort

Overview of attention for article published in BMC Infectious Diseases, February 2017
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Title
Incidence and predictors of surgical site infection in Ethiopia: prospective cohort
Published in
BMC Infectious Diseases, February 2017
DOI 10.1186/s12879-016-2167-x
Pubmed ID
Authors

Tamrat Legesse Laloto, Desta Hiko Gemeda, Sadikalmahdi Hussen Abdella

Abstract

Surgical site infections are commonest nosocomial infections and responsible for considerable morbidity and mortality as well as increased hospitalizations and treatment cost related to surgical operations. The aim of this study was to determine incidence and predictors of surgical site infections at surgical ward of Hawassa University Referral Hospital, Southern Ethiopia. We performed prospective study involving 105 patients that undergone major surgical procedure at Hawassa University Referral Hospital from March 2 to May 2, 2015. Data were extracted from paper based medical charts, operational and anesthesia note, by direct observation and patients' interview. All patients were followed daily before, during and after operation for 30 days starting from the date of operation. Data were analyzed using Statistical Package for Social Science (SPSS) for window version 20.0 software. Predictors of Surgical site infections were identified using multivariable logistic regression model. P-value less than 0.05 was considered to be statistically significant. We studied 105 patients. Sixty four patients (61%) were males. The mean age of the patients was 30.85 ± 17.72 years. The mean Body Mass Index (BMI) was 21.6 ± 4 kg/m(2). Twenty patients (19.1%) developed surgical site infections. Age greater than 40 years, AOR = 7.7(95% CI [1.610-40.810 p = 0.016,]), preoperative hospital stay more than 7 days, AOR = 22.4(95% CI [4.544-110.780, p = 0.001]), duration of operation more than 1 hour, AOR = 8.01(95% CI [1.562-41.099, p = 0.013]) and administering antimicrobial prophylaxis before 1 hour of operation, AOR = 11.1 (95% CI [1.269-75.639, p = 0.014]) were independent predictors for surgical site infections. Surgical site infection is relatively high.

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Mendeley readers

The data shown below were compiled from readership statistics for 288 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 288 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 43 15%
Student > Postgraduate 29 10%
Student > Bachelor 27 9%
Other 15 5%
Student > Ph. D. Student 15 5%
Other 46 16%
Unknown 113 39%
Readers by discipline Count As %
Medicine and Dentistry 87 30%
Nursing and Health Professions 41 14%
Biochemistry, Genetics and Molecular Biology 7 2%
Immunology and Microbiology 7 2%
Pharmacology, Toxicology and Pharmaceutical Science 7 2%
Other 18 6%
Unknown 121 42%