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SCCmec Typing in Methicillin-Resistant Staphylococcus aureus (MRSA) Isolates from Surgical Wards Patients, Dr. Soetomo Hospital, Surabaya, Indonesia

  • Mardiana Lelitawati*
  • , Kuntaman Kuntaman
  • , Eko Budi Koendhori
  • , Dewi Santosaningsih
  • , Aima Insana
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

MRSA strains can grow and spread quickly due to the ability to obtain and utilize mobile genetic elements such as SCCmec. Identification of SCCmec type in health care centers is essential to know the likely source of the spread of MRSA. This study aimed to analyze the distribution of SCCmec type in isolates of MRSA taken from surgical ward patients in Dr. Soetomo Hospital, Surabaya. The samples were 30 isolates from previous studies identified as MRSA colonization in the nose and throat. Isolates were inoculated onto Mannitol Salt Agar (MSA) and then subcultured onto Brilliance MRSA 2 Agar, followed by catalase and coagulase test. The PCR method has amplified thirty DNA templates to detect the SCCmec type. The result showed that 30/30 isolates (100%) contained SCCmec type III (HA-MRSA). Most of the admission patients in surgical wards were referral patients from the secondary hospital, so patients possibly entered the wards already with HA-MRSA colonization. Discharge patients were mostly hospitalized for a long time, with the duration of hospitalization being 6 to 132 days, with an average of 35.4 days. Hospitalizations allow the spread of MRSA from patients infected or colonized with MRSA SCCmec type III to healthcare workers and vice versa.

Original languageEnglish
Title of host publicationAIP Conference Proceedings
EditorsAhmad Taufiq, Hendra Susanto, Chuang-Rung Chang, I. Ching Wang, Hadi Nur, Muhammad Aziz, Sri Rahayu Lestari, Markus Diantoro, Nandang Mufti, Nik Ahmad Nizam Nik Malek, Sunaryono, Siti Zubaidah, Aulanni'am, Indra Wibowo, Adeodatus Yuda Handaya
PublisherAmerican Institute of Physics
Edition1
ISBN (Electronic)9780735451025
DOIs
Publication statusPublished - 30 Jan 2025
Event5th International Conference on Life Science and Technology, ICoLiST 2022 - Hybrid, Malang, Indonesia
Duration: 30 Aug 202231 Aug 2022

Publication series

NameAIP Conference Proceedings
Number1
Volume3186
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference5th International Conference on Life Science and Technology, ICoLiST 2022
Country/TerritoryIndonesia
CityHybrid, Malang
Period30/08/2231/08/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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