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台湾重症监护病房中[具体细菌名称未给出]和[具体细菌名称未给出]在医疗相关感染中的参与度增加。

Increased Involvement of and in Healthcare-Associated Infections of Intensive Care Units in Taiwan.

作者信息

Lin Yu-Ren, Lin Yen-Yue, Yu Chia-Peng, Yang Ya-Sung, Cheng Chun-Gu, Cheng Chun-An

机构信息

National Defense Medical Center, Department of Emergency Medicine, Taoyuan Armed Forces General Hospital, Taoyuan 32549, Taiwan.

National Defense Medical Center, Department of Emergency Medicine, Tri-Service General Hospital, Taipei 11490, Taiwan.

出版信息

Healthcare (Basel). 2021 Oct 11;9(10):1349. doi: 10.3390/healthcare9101349.

Abstract

BACKGROUND

Healthcare-associated infections (HAIs) cause increases in length of stay, mortality, and healthcare costs. A previous study conducted in Taiwan obtained similar results to those reported in Korea and Japan in 2015. Changes in microorganisms have been noted in recent years. Understanding the recent condition of HAIs in intensive care units (ICUs) can enable healthcare providers to develop effective infection control protocols to reduce HAIs.

METHODS

We used the Taiwan Nosocomial Infection Surveillance System to evaluate the incidence densities of HAIs, the proportions of causative pathogens, and the proportions of antimicrobial resistance (AMR). The Poisson regression model was constructed to incidence density, and the chi-square test was used to assess proportion.

RESULTS

The incidence density of HAIs decreased 5.7 to 5.4 per 1000 person-days. However, the proportions of and significantly increased. In addition, the proportions of carbapenem-resistant and vancomycin-resistant significantly increased over time.

CONCLUSION

Analysis of the microorganisms involved in HAIs in ICUs showed elevated proportions of and with AMR. Infection control protocols have been implemented for several years and require improvements regarding environmental cleanliness and medical staff prevention.

摘要

背景

医疗相关感染(HAIs)会导致住院时间延长、死亡率增加以及医疗成本上升。此前在台湾进行的一项研究得出了与2015年韩国和日本报告的结果相似的结论。近年来已注意到微生物的变化。了解重症监护病房(ICU)中HAIs的当前状况能够使医疗服务提供者制定有效的感染控制方案以减少HAIs。

方法

我们使用台湾医院感染监测系统来评估HAIs的发病密度、致病病原体的比例以及抗菌药物耐药性(AMR)的比例。构建泊松回归模型以分析发病密度,并使用卡方检验来评估比例。

结果

HAIs的发病密度从每1000人日5.7降至5.4。然而,[此处原文可能有缺失信息]的比例显著增加。此外,耐碳青霉烯类[此处原文可能有缺失信息]和耐万古霉素[此处原文可能有缺失信息]的比例随时间显著增加。

结论

对ICU中HAIs所涉及的微生物进行分析表明,[此处原文可能有缺失信息]以及具有AMR的[此处原文可能有缺失信息]的比例有所上升。感染控制方案已经实施了数年,在环境清洁和医护人员预防方面需要改进。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89e9/8544546/31e74084f2da/healthcare-09-01349-g001.jpg

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