Adoption and Use of a Risk Assessment Tool for Identifying and Controlling the Spread of Candida Auris among Admitted Patients at a Saudi Arabian Hospital

Author:

Alshahrani Fatimah1,Elgujja Abba Amsami2,Alsubaie Sara2,Ezreqat Salah2,Albarrag Ahmed1,Barry Mazin3,Khamis Khalifa Bin1,Alabdan Lulwa2,Antony Marytonia2,Caparoso Jocelin2,Adam Samah Mustapha2,Faqihi Khalid Waleed4

Affiliation:

1. King Saud University

2. King Saud University Medical City

3. King Saud University and Consultant, King Saud University Medical City

4. King Saud University Medical City, King Saud University

Abstract

Abstract

Background: The emergence of Candida auris (C. auris), a multidrug-resistant fungal pathogen, poses a significant healthcare challenge, necessitating robust risk-assessment strategies for effective infection control in hospital settings. Objective: This study aimed to assess and quantify the risk of C. auris infection in a tertiary hospital by using an adapted risk assessment tool that considers diverse patient factors and hospital dynamics. Method: The study employed the 'adaptation method,' amalgamating literature review and analysis of individual patient data (IPD), to identify and quantify C. auris infection risk. Using the MRSA risk assessment tool, risk factor information was derived from the literature and adapted based on the IPD, ensuring context-specific relevance. The study was conducted in a 1000-bed tertiary university teaching hospital in Riyadh, triggered by the first C. auris case in 2019, covering the period from January 2020 to December 2022. The variables included admission history, comorbidities, multidrug-resistant organism (MDRO) history, wounds/devices, surgeries, and antimicrobial use. The inclusion criteria targeted high-risk individuals and the exclusion criteria were inpatients. The screening tool was deployed through a PowerForm in selected nursing units with rigorous training for nurses and comprehensive data collection, monitoring, and outcome analysis. Robust statistical methods, including multivariable logistic regression and subgroup analyses, were employed to address potential biases and ensure the internal validity of the study. Results:Graphic and clinical findings were analyzed in a cohort of 68,031 patients. Notably, 9% of the patients had identified risk factors such as septicemia, CKD, DM, or chronic lung disease. Additionally, 7% reported a history of admission to non-KSA hospitals and 14% had contact with MDROs or ASCs. The overall prevalence of positive responses across the assessed risk factors was 6%, underscoring the relevance of these factors to Candida auris infection. Conclusion: The overall prevalence of positive responses across the assessed risk factors was 6%, emphasizing the relevance of these factors in the context of Candida auris infections. These findings provide valuable insights for the development of targeted surveillance and preventive measures in healthcare settings.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3