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Professor Hamida Khanum, Ph D

Professor Hamida Khanum, Ph D

American International University, Bangladesh

Title: Microbial infection among admitted patients of Cardiac Surgery in a Tertiary Hospital Dhaka

Biography

Biography: Professor Hamida Khanum, Ph D

Abstract

The hospital- acquired infections are among major causes of death and increased morbidity in developed and developing countries resulting to significant burden both for patients as well as public health. Drug resistance is an emerging issue in modern health care. Through this study it was targeted to evaluate, which of the major agents is responsible for infections in the different areas of the body, and which age group and gender are most affected. In 2019, a cross sectional study was carried out among 121 respondents (patients admitted in Cardiac Surgery Department in United Hospital Dhaka, Bangladesh) to assess microbial infections among the admitted patients. The present  study was targeted to evaluate, which of the major agents is responsible for infections in the different areas of the body, and which age group and gender are most affected. The study results shows 33.1% aged 61-70 years. 50.4% of normal body weight.  Multidrug resistance was found in 3 out of 4 type of organisms. Namely Candida. Klebsiella, Pseudomonas and E coli. The only significant correlation was found between advancement of age with growth of Klebsiella. Microbial infections and their antimicrobial sensitivity profile were assessed by frequency and significance level of p value <0.05 was used for statistical analysis (considered as significance), unless specifically mentioned. the 2nd and 3rd generation Cephalosporin was resistant in 100% of Klebsiella and Pseudomonas positive culture. The only significant correlation was found between advancement of age with growth of Klebsiella. The study found that alarming rate of multidrug resistance present in the organism found in various culture media. This may potentially be useful for future protocol generation and safety measurement applied to patient admitted in cardiac surgery department. All data were analysed using SPSS software versions of 16.0 (SPSS Inc., Chicago, IL, USA.