Prospective cohort study of incidence and risk factors for Catheter-associated Urinary Tract Infections in 212 Intensive Care Units of nine Middle Eastern countries

• Published in: Oman medical journal Vol. 38; no. 6; pp. e571 - e578
• Main Authors: Jin, Zhilin, Yin, Ruijie, Brown, Eric Christopher, Shukla, Bhavarth, Lee, Brandon Hochahn, Abdulaziz-Alkhawaja, Safaa, Magray, Tahera Anwar, Agha, Hala Mounir, El-Sisi, Amal, Ali El-Kholy, Amani, Bayani, Victor, Daboor, Mohammad Abdellatif, Ruzzieh, Majeda Afeef Al, Guclu, Ertugrul, Olmez-Gazioglu, Esra, Dursun, Oguz, Kara, Tuğçe Tural, Koksal, Iftihar, Eroglu, Ahmet, Havan, Merve, Kendirli, Tanıl, Ozturk Deniz, Suna Secil, Aktas, Gizem, Yildizdas, Dincer, Horoz, Ozden Ozgur, Okulu, Emel, Kostekci, Yasemin Ezgi, Omar, Abeer Aly, Memish, Ziad A, Rosenthal, Victor Daniel
• Format: Journal Article
• Language: English
• Published: Muscat, Oman Oman Medical Specialty Board 01.11.2023; OMJ
• Subjects: Diseases; incidence; intensive care; Intensive care nursing; middle east; Original; Psychological aspects; Risk factors; Treatment; Urinary catheterization; Urinary tract infections; Middle East; Urinary Tract Infections; Intensive Care; Risk Factors; Incidence
• ISSN: 1999-768X; 2070-5204
• DOI: 10.5001/omj.2023.121

Objectives: To identify Urinary Catheter (UC)-associated Urinary Tract Infections (CAUTI) incidence and risk factors (RF) in nine Middle Eastern countries. Methods: We conducted a prospective cohort study between 1 January 2014 and 2 December 2022 in 212 Intensive Care Units (ICUs) of 67 hospitals in 38 cities in nine Middle Eastern countries (Bahrain, Egypt, Jordan, Kuwait, Lebanon, Morocco, Saudi Arabia, Turkey, and the UAE). To estimate CAUTI incidence, we used the number of UC days as denominator and the number of CAUTIs as numerator. To estimate CAUTI RFs, we analyzed the following 10 variables using multiple logistic regression: patient sex, age, length of stay (LOS) before CAUTI acquisition, UC-days before CAUTI acquisition, UC-device utilization (DU) ratio, hospitalization type, ICU type, facility-ownership, country income level classified by World Bank, and time period. Results: Among 50 637 patients hospitalized for 434 523 patient days, there were 580 cases of acquired CAUTIs. The pooled CAUTI rate per 1000 UC days was 1.84. The following variables were independently associated with CAUTI: age, rising risk 1.0% yearly (adjusted odds ratio [aOR] equivalent 1.01, 95% CI: 1.01-1.02; p < 0.0001); female sex (aOR equivalent 1.31, 95% CI: 1.09-1.56; p < 0.0001); LOS before CAUTI acquisition, rising risk 6.0% daily (aOR equivalent 1.06, 95% CI: 1.05-1.06; p < 0.0001); and UC/ DU ratio (aOR equivalent 1.11, 95% CI: 1.06-1.14; p < 0.0001). Patients from lower-middle- income countries (aOR equivalent 4.11, 95% CI: 2.49-6.76; p < 0.0001) had a similar CAUTI risk to the upper-middle countries (aOR equivalent 3.75, 95% CI: 1.83-7.68; p < 0.0001). The type of ICU with the highest risk for CAUTI was neurologic ICU (aOR equivalent 27.35, 95% CI: 23.03-33.12; p < 0.0001), followed by medical ICU (aOR equivalent 6.18, 95% CI: 2.07-18.53; p < 0.0001) when compared to cardiothoracic ICU. The periods 2014-2016 (aOR equivalent 7.36, 95% CI: 5.48-23.96; p < 0.001) and 2017-2019 (aOR equivalent 1.15, 95% CI: 3.46-15.61; p < 0.001) had a similar risk to each other, but a higher risk compared to 2020-2022. Conclusions: The following CAUTI RFs are unlikely to change: age, sex, ICU type, and country income level. Based on these findings, it is suggested to focus on reducing LOS, UC/DU ratio, and implementing evidence-based CAUTI prevention recommendations.