Overview of risk factor and bacterial pattern in patient with surgical site infection after caesarean section in Ciptomangunkusumo Hospital from 2016 to 2018

Achmad Kemal Harzif, Muhammad Dwi Wicaksono, Annissa Kallista, Malvin Emeraldi, Gita Pratama

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Caesarean section is one of the most commonly performed surgeries both in the hospital. The incidence of infections in cesarean section varies greatly around the world at 3–15%. SSI on is a multifactorial process that starts from the perioperative preparation, the patient, the type of surgery, the type of germ and other factors. Aims: To determine the characteristics of patients, bacterial patterns, and risk factors for the incidence of SSI in Cipto Mangunkusumo National General Hospital in 2016–2018. Method: This study was an observational study using a retrospective cohort method. The subject of this study were patients undergoing cesarean section in Cipto Mangunkusumo National General Hospital in 2016–2018 recruited using consecutive sampling method. Based on the data obtained, bivariate and multivariate analysis were conducted to determine the factors affecting post-caesarean SSI. Results: A total of 2052 subjects were included in the study. There were 85 cases of surgical site infection (SSI) out of 2052 operations (4.14 %). A total of 85 SSI cases and 1967 control groups were included in the risk factor analysis. The most common bacteria found in surgical site infection culture were Staphylococcus aureus (16,5%), Klebsiella pneumoniae (12,9%), Escherichia coli (9,4%), Enterococcus faecalis (9,4%), and others (21,2%). Variables associated with SSI in this study is fetal distress (p=0,002; AOR = 2,265 CI 95 % 1,350–3,801) and BMI ≥30 kg/m2 (p=0,028; AOR 1,824 CI 95% 1,066–3,121). Conclusion: Factors influencing the incidence of SSI post cesarean section was fetal distress (p=0,002; AOR = 2,265 CI 95 % 1,350–3,801) and BMI ≥30 kg/m2 (p=0,028; AOR 1,824 CI 95% 1,066–3,121).

Original languageEnglish
Article number100090
JournalInfection Prevention in Practice
Volume2
Issue number4
DOIs
Publication statusPublished - Dec 2020

Keywords

  • Bacterial pattern
  • c-section
  • Surgical site infection

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