Microorganism Spectrum and Its Sensitivity Pattern at Intensive Care Unit of a Secondary Care Teaching Hospital in Tangerang, Indonesia

Abstract

BACKGROUND: Antimicrobial resistance is one of the world’s problems. It occurs due to misuse of antimicrobials in dealing with infectious diseases, making antimicrobial drugs less effective in treating infectious diseases. Antimicrobial sensitivity pattern is useful for directing clinicians in empirical therapy and preventing antimicrobial abuse so that resistance to antimicrobial drugs does not occur. AIM: This research is conducted to identify the microorganism spectrum and its sensitivity pattern at the intensive care unit (ICU) of a secondary care teaching hospital in Tangerang, Indonesia. METHODS: This study is a cross-sectional observational retrospective study done in the ICU of secondary care teaching hospital in Tangerang, Indonesia from January 2019to June 2020. This study used 1,341 isolated extracted from the ICU of a secondary care teaching hospital in the Tangerang database. All the samples would be analyzed using Microsoft Excel 2013 and Statistical Package for the Social Science 25 (SPSS 25) using ANOVA analysis. RESULTS: From 1,341 isolates, the most common microorganism found was Klebsiella pneumoniae 221(16%) and the most common specimen is sputum 905 (67,48%). Gram-negative bacteria had the highest sensitivity to amikacin 62% and imipenem 59%. Gram-positive bacteria had the highest sensitivity to tigecycline 98% and doxycycline 95%. While Candida spp. had the highest sensitivity to micafungin (96%) and voriconazole (97%). CONCLUSIONS: This study showed that the sensitivity of antimicrobials was no longer effective in treating infection. Therefore, the government and doctors must play an important role in socializing the correct way of using antimicrobial.