Background:Acinetobacter is a gram negative, multi drug resistant organism which is contributing to arnsignificant amount of morbidity and mortality in hospitalized patients, especially in ICU patientsrnworldwide including Asian countries. Acinetobacter is associated with nosocomial pneumonia andrnVentilator associated pneumonia. Research was conducted to determine resistance pattern ofrnAcinetobacter isolates in quantitative tracheal aspirates and to see what antibiotics can still be usedrnsafely.
Methodology: Prospective crossectional study was conducted in a tertiary care hospital of Karachi,rnPakistan (Ziauddin University Hospital) from 1st Jan 2015 to 30th june 2015. Ninety three Consecutivernsamples of quantitative tracheal aspirates containing Acinetobacter were selected via Convenientrnsampling. SPSS version 17 was used for data analysis.
Results: 93 consecutive samples of Acinetobacter isolates in a quantitative tracheal aspirate were takenrnand data was analyzed via SPSS. 56% of the patients were males and 44% were females. Age distributionrnof these sample showed majority of the patients above 40 years of age. Acenitobacter isolate showedrnvery high resistance to all commonly used antibiotic including Ceftixone, Imipenem, MeropenemrnOfloxacin, and Ciprofloxacin reaching upto 94%. Amikacin, Co-trimoxazole resistance reached up-torn89%, resistance to Gentamicin was 83% resistance to Levofloxacin was 90% and TazobactumPiperacillinrnshowed 91% resistance.rnColistins and polymixins showed 0% resistance and had 100% sensitivity. Cefoperazone-sulbactum hadrnsensitivity of 57%.
Conclusion: Based on our data we found out A. baumanii to be XDR (resistance to 3 classes ofrnantimicrobial plus Carbepenem) showing a progressively higher pattern of resistance to all antibioticsrnexcept Colistin and Polymyxin when compared with previous studies. Hence, stricter implementation ofrninfection control practices should be carried out along with judicious usage of antibiotics paired withrnboth advanced and conventional phenotyping methods to prevent an outbreak beforehand.