Incidence of surgical site infections and prediction of risk factors in a hospital center in Morocco
Introduction: Surgical site infections (SSIs) remain the major cause of morbidity and mortality in the postoperative period and are important surgical and hospital quality indicators. In this context, our study aims to identify SSIs associated risk factors and to develop a predictive model. Meth...
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The Journal of Infection in Developing Countries
2022-07-01
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| Series: | Journal of Infection in Developing Countries |
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| Online Access: | https://jidc.org/index.php/journal/article/view/15289 |
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| author | Rachid Flouchi Mohamed El Far Abdelaziz Hibatallah Abderrahim Elmniai Ibtissam Rhbibou Ibrahim Touzani Naoufal El Hachlafi Kawtar Fikri-Benbrahim |
| author_facet | Rachid Flouchi Mohamed El Far Abdelaziz Hibatallah Abderrahim Elmniai Ibtissam Rhbibou Ibrahim Touzani Naoufal El Hachlafi Kawtar Fikri-Benbrahim |
| author_sort | Rachid Flouchi |
| collection | DOAJ |
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Introduction: Surgical site infections (SSIs) remain the major cause of morbidity and mortality in the postoperative period and are important surgical and hospital quality indicators. In this context, our study aims to identify SSIs associated risk factors and to develop a predictive model.
Methodology: 2521 patients who underwent surgery, between June 2018 and May 2019, in four surgery departments, at the Taza Provincial Hospital (Morocco) were diagnosed for SSI according to the standards of the Center for Disease Control and Prevention. The SSIs’ risk factors were assessed by univariate statistical analysis and logistic regression using the Scikit Learn function of Python.
Results: The average age of the studied population was 35 ± 1 years. The overall SSI incidence was 6.3% (17.95%, 6.86%, 6.67% and 3.16% respectively in child, female, male and gynaecological-obstetrical surgeries. The univariate statistical analysis has shown a highly significant (p < 0.001) and a very significant (p < 0.01) relationship between SSIs and almost all risk factors; and the logistic regression model has revealed a strong association between SSI and people who have had previous surgery, urinary catheter, antibiotic use duration, co-morbidity, American Society of Anesthesiologists (ASA) score, duration of intervention, emergency preoperative and postoperative durations, service, specialty and age range. The prediction score exceeds 96% which justifies our model’s quality.
Conclusions: SSIs are generally frequent among postoperative patients. Therefore, pre-operative preparation, post-operative surveillance and the environment quality of the wards are necessary to reduce SSI rates in the hospital.
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| format | Article |
| id | doaj-art-9d26d298366a4fdd96f86a8288c5018d |
| institution | DOAJ |
| issn | 1972-2680 |
| language | English |
| publishDate | 2022-07-01 |
| publisher | The Journal of Infection in Developing Countries |
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| series | Journal of Infection in Developing Countries |
| spelling | doaj-art-9d26d298366a4fdd96f86a8288c5018d2025-08-20T02:57:13ZengThe Journal of Infection in Developing CountriesJournal of Infection in Developing Countries1972-26802022-07-01160710.3855/jidc.15289Incidence of surgical site infections and prediction of risk factors in a hospital center in MoroccoRachid Flouchi0Mohamed El Far1Abdelaziz Hibatallah2Abderrahim Elmniai3Ibtissam Rhbibou4Ibrahim Touzani5Naoufal El Hachlafi6Kawtar Fikri-Benbrahim7Laboratory of Microbial Biotechnology and Bioactive Molecules, Science and Technologies Faculty, Sidi Mohamed Ben Abdellah University, Fez, MoroccoLaboratory of Applied Physics, Computer Science and Statistics Sciences Faculty Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, Fez, MoroccoSurgical Department, Provincial Hospital Center Ibn Baja Taza, MoroccoHuman Pathology, Biomedicine and Environment Laboratory, Faculty of Medicine and Pharmacy, Sidi Mohamed Ben Abdellah University, Fez, MoroccoHigh Institute of Nursing Professions and Health Techniques annex Taza, Fez, MoroccoLaboratory of Microbial Biotechnology and Bioactive Molecules, Science and Technologies Faculty, Sidi Mohamed Ben Abdellah University, Fez, MoroccoLaboratory of Microbial Biotechnology and Bioactive Molecules, Science and Technologies Faculty, Sidi Mohamed Ben Abdellah University, Fez, MoroccoLaboratory of Microbial Biotechnology and Bioactive Molecules, Science and Technologies Faculty, Sidi Mohamed Ben Abdellah University, Fez, Morocco Introduction: Surgical site infections (SSIs) remain the major cause of morbidity and mortality in the postoperative period and are important surgical and hospital quality indicators. In this context, our study aims to identify SSIs associated risk factors and to develop a predictive model. Methodology: 2521 patients who underwent surgery, between June 2018 and May 2019, in four surgery departments, at the Taza Provincial Hospital (Morocco) were diagnosed for SSI according to the standards of the Center for Disease Control and Prevention. The SSIs’ risk factors were assessed by univariate statistical analysis and logistic regression using the Scikit Learn function of Python. Results: The average age of the studied population was 35 ± 1 years. The overall SSI incidence was 6.3% (17.95%, 6.86%, 6.67% and 3.16% respectively in child, female, male and gynaecological-obstetrical surgeries. The univariate statistical analysis has shown a highly significant (p < 0.001) and a very significant (p < 0.01) relationship between SSIs and almost all risk factors; and the logistic regression model has revealed a strong association between SSI and people who have had previous surgery, urinary catheter, antibiotic use duration, co-morbidity, American Society of Anesthesiologists (ASA) score, duration of intervention, emergency preoperative and postoperative durations, service, specialty and age range. The prediction score exceeds 96% which justifies our model’s quality. Conclusions: SSIs are generally frequent among postoperative patients. Therefore, pre-operative preparation, post-operative surveillance and the environment quality of the wards are necessary to reduce SSI rates in the hospital. https://jidc.org/index.php/journal/article/view/15289incidencesurgerysurgical site infectionhospitalprediction |
| spellingShingle | Rachid Flouchi Mohamed El Far Abdelaziz Hibatallah Abderrahim Elmniai Ibtissam Rhbibou Ibrahim Touzani Naoufal El Hachlafi Kawtar Fikri-Benbrahim Incidence of surgical site infections and prediction of risk factors in a hospital center in Morocco Journal of Infection in Developing Countries incidence surgery surgical site infection hospital prediction |
| title | Incidence of surgical site infections and prediction of risk factors in a hospital center in Morocco |
| title_full | Incidence of surgical site infections and prediction of risk factors in a hospital center in Morocco |
| title_fullStr | Incidence of surgical site infections and prediction of risk factors in a hospital center in Morocco |
| title_full_unstemmed | Incidence of surgical site infections and prediction of risk factors in a hospital center in Morocco |
| title_short | Incidence of surgical site infections and prediction of risk factors in a hospital center in Morocco |
| title_sort | incidence of surgical site infections and prediction of risk factors in a hospital center in morocco |
| topic | incidence surgery surgical site infection hospital prediction |
| url | https://jidc.org/index.php/journal/article/view/15289 |
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