A One-Day Pilot Point-Prevalence Survey of Healthcare-Associated Infections in Three Korean Hospitals: Risk Factors, Clinical Burden, and Implications for Nationwide Surveillance.

IF 3.1 3区 医学 Q1 INFECTIOUS DISEASES
Jihwan Bang, Sung Ran Kim, Jeong Hwa Choi, Seung Jae Lee, Minsun Kang, Su Young Kim, Min Hee Cho, Eun Kyung Lee, Joon Young Song, Hyun Kyun Ki, Jaehun Jung, Jongtak Jung, Kyoung-Ho Song, Myoung Jin Shin, Eu Suk Kim
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引用次数: 0

Abstract

Background: Healthcare-associated infections (HAIs) remain a major cause of morbidity and mortality in hospitalized patients. We assessed the prevalence, clinical burden, and predictors of HAIs across multiple hospitals using point-prevalence and matched case-control designs.

Methods: A point-prevalence survey was conducted among all inpatients at three hospitals. For clinical burden analysis, HAI cases were matched to non-infected controls in a 1:3 ratio based on sex, age (±10 years), ward type, length of stay up to the survey date, clinical department, and surgical history (for surgical site infections). Propensity score matching was performed to generate 1:1 matched pairs. Multivariable logistic regression analyses were conducted to identify factors associated with HAI occurrence and to evaluate predictors of in-hospital and 30-day mortality.

Results: Among 2,226 patients, 119 had HAIs (prevalence, 5.35%). Recent microbiological culture testing, purulent discharge, documentation suggestive of infection in medical records, and fever were independently associated with HAIs in the propensity score-matched analysis. HAIs were also independently associated with increased in-hospital mortality, whereas the association with 30-day mortality was not statistically significant after adjustment for comorbidities and McCabe classification.

Conclusions: In this multicenter study, HAIs were associated with substantial clinical burden and increased mortality. Specific clinical indicators were strongly associated with HAI detection and may support surveillance strategies. These findings highlight the need for strengthened infection prevention and the integration of early identification systems into routine hospital surveillance.

Trial registration: Not applicable.

韩国三家医院医疗保健相关感染为期一天的试点点流行调查:风险因素、临床负担和对全国监测的影响
背景:医疗保健相关感染(HAIs)仍然是住院患者发病和死亡的主要原因。我们使用点流行和匹配病例对照设计评估了多家医院的HAIs患病率、临床负担和预测因素。方法:对三所医院住院患者进行点状患病率调查。在临床负担分析中,根据性别、年龄(±10岁)、病房类型、截至调查日期的住院时间、临床科室和手术史(手术部位感染),将HAI病例与非感染对照按1:3的比例进行匹配。倾向评分匹配生成1:1匹配对。进行多变量logistic回归分析以确定与HAI发生相关的因素,并评估住院和30天死亡率的预测因子。结果:2226例患者中,HAIs 119例(患病率5.35%)。在倾向评分匹配分析中,最近的微生物培养检测、脓性分泌物、医疗记录中提示感染的文件和发烧与HAIs独立相关。HAIs还与住院死亡率增加独立相关,而在调整合并症和McCabe分类后,与30天死亡率的关联无统计学意义。结论:在这项多中心研究中,HAIs与大量临床负担和死亡率增加有关。特定临床指标与HAI检测密切相关,可能支持监测策略。这些发现突出了加强感染预防和将早期识别系统整合到常规医院监测中的必要性。试验注册:不适用。
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来源期刊
Journal of Hospital Infection
Journal of Hospital Infection 医学-传染病学
CiteScore
12.70
自引率
5.80%
发文量
271
审稿时长
19 days
期刊介绍: The Journal of Hospital Infection is the editorially independent scientific publication of the Healthcare Infection Society. The aim of the Journal is to publish high quality research and information relating to infection prevention and control that is relevant to an international audience. The Journal welcomes submissions that relate to all aspects of infection prevention and control in healthcare settings. This includes submissions that: provide new insight into the epidemiology, surveillance, or prevention and control of healthcare-associated infections and antimicrobial resistance in healthcare settings; provide new insight into cleaning, disinfection and decontamination; provide new insight into the design of healthcare premises; describe novel aspects of outbreaks of infection; throw light on techniques for effective antimicrobial stewardship; describe novel techniques (laboratory-based or point of care) for the detection of infection or antimicrobial resistance in the healthcare setting, particularly if these can be used to facilitate infection prevention and control; improve understanding of the motivations of safe healthcare behaviour, or describe techniques for achieving behavioural and cultural change; improve understanding of the use of IT systems in infection surveillance and prevention and control.
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