1.Progress of research on biological surveillance sampling and culture methods for flexible endoscopes
Xiaochao SONG ; Meijuan JIN ; Wei DING ; Yubin XING ; Mingmei DU ; Hongwu YAO ; Yanling BAI ; Yunxi LIU
Chinese Journal of Nosocomiology 2025;35(17):2702-2706
In recent years,the microorganisms residues in endoscopes have frequently resulted in cross transmis-sion or even the outbreak of hospital-associated infections.It is of great importance to carry out standardized bio-logical surveillance of endoscopes,find out the high-risk links of cleaning and disinfection,and take targeted inter-vention measures to reduce the incidence of endoscopy-related infection.Based on the related guidelines in China and abroad as well as the latest clinical practice researches,the biological surveillance sampling and culture for en-doscopes were summarized in the article so as to enhance the surveillance quality,ensure the reprocessing effect and guarantee the endoscopy-related quality and safety.
2.A Nationwide Survey on Infection Prevention and Control in Acute Care Hospitals of Korea
Sun Hee NA ; Yubin SEO ; Hye Jin SHI ; In Sun HWANG ; Kyong A SHIN ; Kwang Yul SON ; Sung Ran KIM ; Myoungjin SHIN ; Hee-jung SON ; Ji Youn CHOI ; Heekyung CHUN ; Sook-Kyung PARK ; Jeongsuk SONG ; Namyi KIM ; Jacob LEE ; Joong Sik EOM
Journal of Korean Medical Science 2025;40(4):e41-
Background:
Healthcare-associated infections impose a significant burden on antibiotic usage, healthcare expenditures, and morbidity. Therefore, it is crucial to revise policies to minimize such losses. This nationwide survey aimed to evaluate infection prevention and control (IPC) components in healthcare facilities and encourage improvements in acute care hospitals with inadequate infection prevention settings. This study aims to enhance the infection control capabilities of healthcare facilities.
Methods:
From December 27, 2021, to May 13, 2022, we conducted a survey of 1,767 acute care hospitals in the Republic of Korea. A survey was conducted to evaluate the infection control components in 1,767 acute care hospitals. Infection control officers provided direct responses to a systematically developed questionnaire. Subsequently, 10% of the respondents were randomly selected for the site investigation.
Results:
Overall, 1,197 (67.7%) hospitals responded to the online survey. On-site investigations were conducted at 125 hospitals. Hospitals with ≥ 150 beds are advised to have an IPC team under Article 3 of the Medical Service Act; however, only 87.0% (598/687) of hospitals with ≥ 100 beds had one. Conversely, 22.7% (116/510) of hospitals with < 100 beds had an IPC team. Regulations for hand hygiene, waste management, healthcare worker protection and safety, environmental cleaning, standard precautions, and prevention of the transmission of multidrug-resistant pathogens were present in 84.2%, 80.1%, 77.4%, 76.2%, 75.8%, and 63.5% of the hospitals, respectively. Hospitals with < 100 beds had low availability of all categories of standard operating procedures.
Conclusion
This study is the first national survey of acute care hospitals in the Republic of Korea. The data presented in the current study will improve the understanding of IPC status and will help establish a survey system. Our survey provides a basis for improving policies related to IPC in healthcare facilities.
3.A Nationwide Survey on Infection Prevention and Control in Acute Care Hospitals of Korea
Sun Hee NA ; Yubin SEO ; Hye Jin SHI ; In Sun HWANG ; Kyong A SHIN ; Kwang Yul SON ; Sung Ran KIM ; Myoungjin SHIN ; Hee-jung SON ; Ji Youn CHOI ; Heekyung CHUN ; Sook-Kyung PARK ; Jeongsuk SONG ; Namyi KIM ; Jacob LEE ; Joong Sik EOM
Journal of Korean Medical Science 2025;40(4):e41-
Background:
Healthcare-associated infections impose a significant burden on antibiotic usage, healthcare expenditures, and morbidity. Therefore, it is crucial to revise policies to minimize such losses. This nationwide survey aimed to evaluate infection prevention and control (IPC) components in healthcare facilities and encourage improvements in acute care hospitals with inadequate infection prevention settings. This study aims to enhance the infection control capabilities of healthcare facilities.
Methods:
From December 27, 2021, to May 13, 2022, we conducted a survey of 1,767 acute care hospitals in the Republic of Korea. A survey was conducted to evaluate the infection control components in 1,767 acute care hospitals. Infection control officers provided direct responses to a systematically developed questionnaire. Subsequently, 10% of the respondents were randomly selected for the site investigation.
Results:
Overall, 1,197 (67.7%) hospitals responded to the online survey. On-site investigations were conducted at 125 hospitals. Hospitals with ≥ 150 beds are advised to have an IPC team under Article 3 of the Medical Service Act; however, only 87.0% (598/687) of hospitals with ≥ 100 beds had one. Conversely, 22.7% (116/510) of hospitals with < 100 beds had an IPC team. Regulations for hand hygiene, waste management, healthcare worker protection and safety, environmental cleaning, standard precautions, and prevention of the transmission of multidrug-resistant pathogens were present in 84.2%, 80.1%, 77.4%, 76.2%, 75.8%, and 63.5% of the hospitals, respectively. Hospitals with < 100 beds had low availability of all categories of standard operating procedures.
Conclusion
This study is the first national survey of acute care hospitals in the Republic of Korea. The data presented in the current study will improve the understanding of IPC status and will help establish a survey system. Our survey provides a basis for improving policies related to IPC in healthcare facilities.
4.A Nationwide Survey on Infection Prevention and Control in Acute Care Hospitals of Korea
Sun Hee NA ; Yubin SEO ; Hye Jin SHI ; In Sun HWANG ; Kyong A SHIN ; Kwang Yul SON ; Sung Ran KIM ; Myoungjin SHIN ; Hee-jung SON ; Ji Youn CHOI ; Heekyung CHUN ; Sook-Kyung PARK ; Jeongsuk SONG ; Namyi KIM ; Jacob LEE ; Joong Sik EOM
Journal of Korean Medical Science 2025;40(4):e41-
Background:
Healthcare-associated infections impose a significant burden on antibiotic usage, healthcare expenditures, and morbidity. Therefore, it is crucial to revise policies to minimize such losses. This nationwide survey aimed to evaluate infection prevention and control (IPC) components in healthcare facilities and encourage improvements in acute care hospitals with inadequate infection prevention settings. This study aims to enhance the infection control capabilities of healthcare facilities.
Methods:
From December 27, 2021, to May 13, 2022, we conducted a survey of 1,767 acute care hospitals in the Republic of Korea. A survey was conducted to evaluate the infection control components in 1,767 acute care hospitals. Infection control officers provided direct responses to a systematically developed questionnaire. Subsequently, 10% of the respondents were randomly selected for the site investigation.
Results:
Overall, 1,197 (67.7%) hospitals responded to the online survey. On-site investigations were conducted at 125 hospitals. Hospitals with ≥ 150 beds are advised to have an IPC team under Article 3 of the Medical Service Act; however, only 87.0% (598/687) of hospitals with ≥ 100 beds had one. Conversely, 22.7% (116/510) of hospitals with < 100 beds had an IPC team. Regulations for hand hygiene, waste management, healthcare worker protection and safety, environmental cleaning, standard precautions, and prevention of the transmission of multidrug-resistant pathogens were present in 84.2%, 80.1%, 77.4%, 76.2%, 75.8%, and 63.5% of the hospitals, respectively. Hospitals with < 100 beds had low availability of all categories of standard operating procedures.
Conclusion
This study is the first national survey of acute care hospitals in the Republic of Korea. The data presented in the current study will improve the understanding of IPC status and will help establish a survey system. Our survey provides a basis for improving policies related to IPC in healthcare facilities.
5.A Nationwide Survey on Infection Prevention and Control in Acute Care Hospitals of Korea
Sun Hee NA ; Yubin SEO ; Hye Jin SHI ; In Sun HWANG ; Kyong A SHIN ; Kwang Yul SON ; Sung Ran KIM ; Myoungjin SHIN ; Hee-jung SON ; Ji Youn CHOI ; Heekyung CHUN ; Sook-Kyung PARK ; Jeongsuk SONG ; Namyi KIM ; Jacob LEE ; Joong Sik EOM
Journal of Korean Medical Science 2025;40(4):e41-
Background:
Healthcare-associated infections impose a significant burden on antibiotic usage, healthcare expenditures, and morbidity. Therefore, it is crucial to revise policies to minimize such losses. This nationwide survey aimed to evaluate infection prevention and control (IPC) components in healthcare facilities and encourage improvements in acute care hospitals with inadequate infection prevention settings. This study aims to enhance the infection control capabilities of healthcare facilities.
Methods:
From December 27, 2021, to May 13, 2022, we conducted a survey of 1,767 acute care hospitals in the Republic of Korea. A survey was conducted to evaluate the infection control components in 1,767 acute care hospitals. Infection control officers provided direct responses to a systematically developed questionnaire. Subsequently, 10% of the respondents were randomly selected for the site investigation.
Results:
Overall, 1,197 (67.7%) hospitals responded to the online survey. On-site investigations were conducted at 125 hospitals. Hospitals with ≥ 150 beds are advised to have an IPC team under Article 3 of the Medical Service Act; however, only 87.0% (598/687) of hospitals with ≥ 100 beds had one. Conversely, 22.7% (116/510) of hospitals with < 100 beds had an IPC team. Regulations for hand hygiene, waste management, healthcare worker protection and safety, environmental cleaning, standard precautions, and prevention of the transmission of multidrug-resistant pathogens were present in 84.2%, 80.1%, 77.4%, 76.2%, 75.8%, and 63.5% of the hospitals, respectively. Hospitals with < 100 beds had low availability of all categories of standard operating procedures.
Conclusion
This study is the first national survey of acute care hospitals in the Republic of Korea. The data presented in the current study will improve the understanding of IPC status and will help establish a survey system. Our survey provides a basis for improving policies related to IPC in healthcare facilities.
6.Correlation between serum sST2 level and early reperfusion arrhythmia in STEMI patients
Wenjing CHE ; Yubin JIN ; Shumin CHANG ; Yihan SUN ; Chengfu WANG ; Aijie HOU
Chinese Journal of Arteriosclerosis 2025;33(8):695-701
Aim To investigate the correlation between serum solube growth stimulation expressed gene 2 protein(sST2)and early reperfusion arrhythmia(ERA)after emergency percutaneous coronary intervention(PCI)in patients with acute ST-segment elevation myocardial infarction(STEMI).Methods A total of 202 STEMI patients who under-went emergency PCI from November 2020 to August 2022 in the Cardiac Center of Liaoning Provincial People's Hospital were divided into two groups based on the occurrence of ERA within 48 hours after PCI:ERA group and non-ERA group.Serum sST2 level and clinical data were compared between the groups.Univariable and multivariable Logistic regression analysis were used to explore the association between serum sST2 level and ERA occurrence,and restricted cubic spline model was applied to identify independent risk factors for ERA.Results There were 83(41.1%)patients experi-enced ERA within 48 hours after PCI.Compared with the non-ERA group,the patients in ERA group had shorter time from chest pain to reperfusion and higher serum sST2 level(P<0.001).Multivariate Logistic regression analysis showed that for STEMI patients,elevated serum sST2 level(sST2≥45.03 μg/L),early reperfusion time(chest pain to successful reperfusion time≤5.23 h),high thrombosis burden,and right coronary artery as the infarct related artery(IRA)were in-dependent risk factors for ERA after emergency PCI.The restricted cubic spline model suggested that the serum sST2 lev-el of STEMI patients was nonlinearly correlated with the risk of ERA after PCI(P<0.01),and the cutoff point was 45.12 μg/L.ROC curve analysis showed that the area under the ROC curve of serum sST2 level in predicting ERA oc-currence after PCI was 0.827(95%CI:0.771~0.883).Conclusion The high serum sST2 level before PCI is an independent risk factor for ERA occurrence after PCI in patients with STEMI.When serum sST2>45.12 μg/L,its level is positively correlated with the risk of ERA.
7.Correlation between serum sST2 level and early reperfusion arrhythmia in STEMI patients
Wenjing CHE ; Yubin JIN ; Shumin CHANG ; Yihan SUN ; Chengfu WANG ; Aijie HOU
Chinese Journal of Arteriosclerosis 2025;33(8):695-701
Aim To investigate the correlation between serum solube growth stimulation expressed gene 2 protein(sST2)and early reperfusion arrhythmia(ERA)after emergency percutaneous coronary intervention(PCI)in patients with acute ST-segment elevation myocardial infarction(STEMI).Methods A total of 202 STEMI patients who under-went emergency PCI from November 2020 to August 2022 in the Cardiac Center of Liaoning Provincial People's Hospital were divided into two groups based on the occurrence of ERA within 48 hours after PCI:ERA group and non-ERA group.Serum sST2 level and clinical data were compared between the groups.Univariable and multivariable Logistic regression analysis were used to explore the association between serum sST2 level and ERA occurrence,and restricted cubic spline model was applied to identify independent risk factors for ERA.Results There were 83(41.1%)patients experi-enced ERA within 48 hours after PCI.Compared with the non-ERA group,the patients in ERA group had shorter time from chest pain to reperfusion and higher serum sST2 level(P<0.001).Multivariate Logistic regression analysis showed that for STEMI patients,elevated serum sST2 level(sST2≥45.03 μg/L),early reperfusion time(chest pain to successful reperfusion time≤5.23 h),high thrombosis burden,and right coronary artery as the infarct related artery(IRA)were in-dependent risk factors for ERA after emergency PCI.The restricted cubic spline model suggested that the serum sST2 lev-el of STEMI patients was nonlinearly correlated with the risk of ERA after PCI(P<0.01),and the cutoff point was 45.12 μg/L.ROC curve analysis showed that the area under the ROC curve of serum sST2 level in predicting ERA oc-currence after PCI was 0.827(95%CI:0.771~0.883).Conclusion The high serum sST2 level before PCI is an independent risk factor for ERA occurrence after PCI in patients with STEMI.When serum sST2>45.12 μg/L,its level is positively correlated with the risk of ERA.
8.Progress of research on biological surveillance sampling and culture methods for flexible endoscopes
Xiaochao SONG ; Meijuan JIN ; Wei DING ; Yubin XING ; Mingmei DU ; Hongwu YAO ; Yanling BAI ; Yunxi LIU
Chinese Journal of Nosocomiology 2025;35(17):2702-2706
In recent years,the microorganisms residues in endoscopes have frequently resulted in cross transmis-sion or even the outbreak of hospital-associated infections.It is of great importance to carry out standardized bio-logical surveillance of endoscopes,find out the high-risk links of cleaning and disinfection,and take targeted inter-vention measures to reduce the incidence of endoscopy-related infection.Based on the related guidelines in China and abroad as well as the latest clinical practice researches,the biological surveillance sampling and culture for en-doscopes were summarized in the article so as to enhance the surveillance quality,ensure the reprocessing effect and guarantee the endoscopy-related quality and safety.
9.DentalRegiformer: A Fully Automated Deep Learning Framework for Coarse-to-Fine Registration between Intraoral Scan and CBCT Image
Heejin YUN ; Yubin LEE ; Jimin SUN ; Whaeum LEE ; Dahee KIM ; Won-Jin YI
Journal of Korean Dental Science 2025;18(4):161-176
Purpose:
Precise registration between intraoral scans (IOSs) and CBCT images is essential for many digital dentistry applications. The purpose of this study was to develop DentalRegiformer, a fully automated, end-to-end deep learning framework that ensures accurate registration between IOS and CBCT images.
Materials and Methods:
The network was trained on 88 paired CBCT-IOS datasets from 44 patients, with ground-truth alignments obtained through manual registration performed by trained dental students. To enhance clinical accuracy and efficiency, a multi-stage coarse-to-fine strategy is proposed to integrate segmentation, classification, and registration into a unified pipeline. First, tooth segmentation is performed on CBCT volumes using 3D nnU-Net to generate segmented tooth regions for alignment. Simultaneously, IOS datasets are classified as maxillary or mandibular dentition using a hybrid representation that combines geometric descriptors with point cloud features extracted via a DGCNN network. Registration is then conducted in two phases: coarse alignment using a DCP framework for feature encoding and probabilistic correspondence estimation to compute the initial rigid transformation, followed by fine alignment using GeoTransformer’s local-to-global iterative refinement, which alternates between local feature aggregation and global context integration to progressively enhance correspondence accuracy and achieve precise rigid registration.
Results
The segmentation model achieved robust results, with a Dice coefficient of 0.924, precision of 0.916, and recall of 0.934. The DGCNN classifier perfectly distinguished maxillary and mandibular arches, achieving sensitivity, specificity, ROC, and accuracy of 1.000.For registration, DentalRegiformer accurately predicted transformation between IOS and CBCT images, yielding an overall RMSE of 0.556 mm; MAEs of 0.231mm, 0.329 mm, and 0.283 mm along the x-, y-, and z-axes, respectively; and inference time of 19.623 seconds. In comparison, the manual method based on combined pair-points and ICP had an RMSE of 0.615 mm;MAEs of 0.244 mm, 0.347 mm, and 0.298 mm along the x-, y-, and z-axes, respectively; and processing time of 431.6 seconds.Discussion and Conclusion: Therefore, DentalRegiformer is a fully automated, deep learning–based solution that minimizes manual intervention and improves clinical efficiency. The framework streamlines digital dental workflows, reduces operator-dependent errors, and facilitates automated, personalized dental care.

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