Background: ICU infections are major health care problems affecting millions globally each year. ICU mortality of infectious patients is increasing and as high as 14.31% to 45.4%. The objective of this study was to determine microbiological culture profile, their antimicrobial susceptibility and treatment outcome of patients admitted to intensive care units.Methods and materials: An institutional based cross sectional study was conducted in all patients with microbiological culture and susceptibility results after admission to intensive care units from January 2019 to December 2019. A modified, pretested questionnaire was used to collect data and analyzed using SPSS version 25. Correlation and regression analysis was done for association. P value of <0.05 with CI of 95% was taken as clinically significant.Results: A total of 106 patients with 173 culture results were analyzed. Majority 68(64.2%) were males and the mean age of the patients were 35.08 ± 1.6 years. The most common source of infection was the pulmonary system 84(54.5%) followed by urinary tract infection 26(16.9%). Forty-four (25.43%) of cultures had growth. Gram negative microorganisms were identified in 35(68.63%) of isolates and Acinetobacter species accounts for 10(28.57%) followed by Klebsiella pneumonia and E. coli 7(13.725%) each. Generally, higher resistance was observed with cephalosporins and penicillins, whereas sensitivity to carbapenems, PIP/TAZ, and amikacin was satisfactory. The mortality associated with intensive care infections was found to be 32.1%.Conclusion: This study revealed that the mortality rate associated with ICU infection was 32.1%. Early identification, targeted provision of antimicrobials based on microbiological culture and susceptibility result has to be implemented to have better outcome. Designs of future multicenter and large studies are crucial to improve outcome of critically ill patients.

Data on patterns of intensive care unit (ICU) admission including age, and severity of illness is essential in developing better strategies for resource allocation to improve outcomes. A 2-year cross-sectional study of 268 patients using a systematic random sampling and structured questionnaire obtained from the database was conducted with the aim of examining patterns of admission among patients admitted to the ICU of Addis Ababa burn emergency and trauma (AaBET) hospital. Data were entered into Epi-Info version 3.5.3 and exported to SPSS version 24 for analysis. Bivariate and multivariate logistic regression were used for association. A P-value of 0.05 at a 95% confidence interval was declared clinically significant. Of the 268 charts reviewed, 193 (73.5%) of them were men with a mean age of 32.6 years. Trauma accounted for 163 (53.4%) of admissions. Burn admission category, Glasgow coma score of 3–8, and not receiving pre-referral treatment were found to be substantially correlated with mortality in both bivariate and multivariate analysis. Trauma constituted a sizeable cause of ICU admission. Road traffic accidents of traumatic brain injuries were the major causes of admission. Developing good pre-referral care equipped with manpower and ambulance services will improve the outcome.

Background: Information on the patterns of admission, outcome, and associated factors of intensive care unit patients is critical for evaluating healthcare programs. However, this information is scarce in developing countries. Analyzing the pattern of intensive care unit admission helps officials develop better strategies for improved resource allocation, resulting in an overall reduction of poor outcomes. Objectives: This study aimed to assess patterns of admission, outcome, and associated factors among patients admitted to the intensive care unit in Addis Ababa hospital from 2017 to 2019. Methodology: A two-year retrospective study of 268 admitted patients was done. A Systematic random sampling technique was employed to get the required samples from the database. Data was collected using a structured questionnaire. Data was entered into Epi-info version 3.5.3 and exported to SPSS Version 24 for analysis. Bivariate and multivariate logistic regression were used to analyze the association between dependent and independent variables and P-value <0.05 at 95% CI was declared as statistically significant. Results: Out of 268 charts reviewed, 193 (73.5%) were male and 75 (26.5%) were females. The mean age of the patients was 32.6 years. The most common reasons for admission were trauma 163(53.4%), followed by medical 66(24.6%). Moreover, traumatic brain injury accounts 146(82.5%) of trauma cases, followed by limb injury 40(14.9%). Regarding their outcome 94(35.1%) of patients transferred to their respective wards, and 91(34.1%) were discharged. The overall mortality was 58(21.6%). In Bivariate analyses, Glasgow coma score, admission category, pre-referral care, and age were significantly associated with death. In multivariate analysis, Glasgow coma score 3-8, admission category, and pre-referral care were factors associated with increased risk of death. Conclusion: The majority of admissions were Trauma-related. Road traffic accidents were the major cause of injury (3.5%), and traumatic brain injuries constituted the highest percentage. of admissions.