Hafez, M., Kassem, S., Mohamed, W., Youssif, A. (2019). Bacteremia Predictive Factors among Inpatients of Internal Medicine Department. A Prospective Cross- Sectional Survey in Aswan University Hospital. The Egyptian Journal of Hospital Medicine, 74(5), 1151-1155. doi: 10.21608/ejhm.2019.26693
Mohammed Zain Eldeen Hafez; Soumaia Ahmed Kassem; Wafaa Salah Eldin Mohamed; Ahmed Yehia Araby Youssif. "Bacteremia Predictive Factors among Inpatients of Internal Medicine Department. A Prospective Cross- Sectional Survey in Aswan University Hospital". The Egyptian Journal of Hospital Medicine, 74, 5, 2019, 1151-1155. doi: 10.21608/ejhm.2019.26693
Hafez, M., Kassem, S., Mohamed, W., Youssif, A. (2019). 'Bacteremia Predictive Factors among Inpatients of Internal Medicine Department. A Prospective Cross- Sectional Survey in Aswan University Hospital', The Egyptian Journal of Hospital Medicine, 74(5), pp. 1151-1155. doi: 10.21608/ejhm.2019.26693
Hafez, M., Kassem, S., Mohamed, W., Youssif, A. Bacteremia Predictive Factors among Inpatients of Internal Medicine Department. A Prospective Cross- Sectional Survey in Aswan University Hospital. The Egyptian Journal of Hospital Medicine, 2019; 74(5): 1151-1155. doi: 10.21608/ejhm.2019.26693
Bacteremia Predictive Factors among Inpatients of Internal Medicine Department. A Prospective Cross- Sectional Survey in Aswan University Hospital
1Departments of Internal Medicine, Faculty of Medicine, Aswan University, Aswan, Egypt
2Departments of Clinical Pathology, Faculty of Medicine, Aswan University, Aswan, Egypt
Abstract
Background: bacteremia is the presence of bacteria in the blood stream that are alive and capable of reproducing. It is a type of blood stream infection Aim of the Work: was to identify bacteremia predictive factors among inpatients at Internal Medicine Department in Aswan University Hospital and to improve the management and decrease mortality among inpatients through clinical parameters. Patients and Methods: we estimated blood cultures of one hundred patients at our department from April 2017 to April 2018. Results: The final diagnosis and univariate analysis have shown use of central venous line (p<0.001), high axillary body temperature (p<0.001), greater pulse rate (p<0.001), leucocytosis (p<0.001), neutrophilia (p<0.0001), and creatinine (p<0.002) were associated with bacteremia. Positive blood cultures patients have shown in our study that temp >38OC, leucocytosis, neutrophillia >85%, tachycardia>90 and serum creatinine >1.3% were independent risk factors of bacteremia. Conclusion: The presence of bacteremia can be highly predicted by fundamental clinical information such as high pulse rate, leucocytosis, high grade temperature and neutrophilia.
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