1.Sentinel Safety Monitoring System for Adverse Events of Special Interest Associated With Non-NIP Vaccines in Korea
Hakjun HYUN ; Jung Yeon HEO ; Yu Jung CHOI ; Eliel NHAM ; Jin Gu YOON ; Ji Yun NOH ; Joon Young SONG ; Woo Joo KIM ; Won Suk CHOI ; Min Joo CHOI ; Yu Bin SEO ; Jacob LEE ; Hee Jin CHEONG
Journal of Korean Medical Science 2025;40(16):e152-
South Korea’s current vaccination policies leave a surveillance gap for non-National Immunization Program (NIP) vaccines. In this study, we proposed a sentinel surveillance approach for monitoring the safety of non-NIP vaccines. Vaccination data were collected retrospectively among patients hospitalized with pre-defined adverse events of special interest (AESI) by reviewing electronic medical records in five university hospitals. This approach incorporates expert assessment to determine the causal relationship. We confirmed that 16 patients had received non-NIP vaccines among 860 patients diagnosed with AESI.We concluded one case of preeclampsia was possibly related to tetanus-diphtheria-pertussis vaccination. We propose a multi-hospital-based, retrospective assessment system for predefined AESIs as an alternative to active vaccine safety monitoring method. These efforts are expected to enhance both the accuracy and timeliness of safety monitoring in South Korea.
2.Sentinel Safety Monitoring System for Adverse Events of Special Interest Associated With Non-NIP Vaccines in Korea
Hakjun HYUN ; Jung Yeon HEO ; Yu Jung CHOI ; Eliel NHAM ; Jin Gu YOON ; Ji Yun NOH ; Joon Young SONG ; Woo Joo KIM ; Won Suk CHOI ; Min Joo CHOI ; Yu Bin SEO ; Jacob LEE ; Hee Jin CHEONG
Journal of Korean Medical Science 2025;40(16):e152-
South Korea’s current vaccination policies leave a surveillance gap for non-National Immunization Program (NIP) vaccines. In this study, we proposed a sentinel surveillance approach for monitoring the safety of non-NIP vaccines. Vaccination data were collected retrospectively among patients hospitalized with pre-defined adverse events of special interest (AESI) by reviewing electronic medical records in five university hospitals. This approach incorporates expert assessment to determine the causal relationship. We confirmed that 16 patients had received non-NIP vaccines among 860 patients diagnosed with AESI.We concluded one case of preeclampsia was possibly related to tetanus-diphtheria-pertussis vaccination. We propose a multi-hospital-based, retrospective assessment system for predefined AESIs as an alternative to active vaccine safety monitoring method. These efforts are expected to enhance both the accuracy and timeliness of safety monitoring in South Korea.
3.Sentinel Safety Monitoring System for Adverse Events of Special Interest Associated With Non-NIP Vaccines in Korea
Hakjun HYUN ; Jung Yeon HEO ; Yu Jung CHOI ; Eliel NHAM ; Jin Gu YOON ; Ji Yun NOH ; Joon Young SONG ; Woo Joo KIM ; Won Suk CHOI ; Min Joo CHOI ; Yu Bin SEO ; Jacob LEE ; Hee Jin CHEONG
Journal of Korean Medical Science 2025;40(16):e152-
South Korea’s current vaccination policies leave a surveillance gap for non-National Immunization Program (NIP) vaccines. In this study, we proposed a sentinel surveillance approach for monitoring the safety of non-NIP vaccines. Vaccination data were collected retrospectively among patients hospitalized with pre-defined adverse events of special interest (AESI) by reviewing electronic medical records in five university hospitals. This approach incorporates expert assessment to determine the causal relationship. We confirmed that 16 patients had received non-NIP vaccines among 860 patients diagnosed with AESI.We concluded one case of preeclampsia was possibly related to tetanus-diphtheria-pertussis vaccination. We propose a multi-hospital-based, retrospective assessment system for predefined AESIs as an alternative to active vaccine safety monitoring method. These efforts are expected to enhance both the accuracy and timeliness of safety monitoring in South Korea.
4.Sentinel Safety Monitoring System for Adverse Events of Special Interest Associated With Non-NIP Vaccines in Korea
Hakjun HYUN ; Jung Yeon HEO ; Yu Jung CHOI ; Eliel NHAM ; Jin Gu YOON ; Ji Yun NOH ; Joon Young SONG ; Woo Joo KIM ; Won Suk CHOI ; Min Joo CHOI ; Yu Bin SEO ; Jacob LEE ; Hee Jin CHEONG
Journal of Korean Medical Science 2025;40(16):e152-
South Korea’s current vaccination policies leave a surveillance gap for non-National Immunization Program (NIP) vaccines. In this study, we proposed a sentinel surveillance approach for monitoring the safety of non-NIP vaccines. Vaccination data were collected retrospectively among patients hospitalized with pre-defined adverse events of special interest (AESI) by reviewing electronic medical records in five university hospitals. This approach incorporates expert assessment to determine the causal relationship. We confirmed that 16 patients had received non-NIP vaccines among 860 patients diagnosed with AESI.We concluded one case of preeclampsia was possibly related to tetanus-diphtheria-pertussis vaccination. We propose a multi-hospital-based, retrospective assessment system for predefined AESIs as an alternative to active vaccine safety monitoring method. These efforts are expected to enhance both the accuracy and timeliness of safety monitoring in South Korea.
5.Correction: 2023 Korean Society of Echocardiography position paper for diagnosis and management of valvular heart disease, part I: aortic valve disease
Sun Hwa LEE ; Se Jung YOON ; Byung Joo SUN ; Hyue Mee KIM ; Hyung Yoon KIM ; Sahmin LEE ; Chi Young SHIM ; Eun Kyoung KIM ; Dong Hyuk CHO ; Jun Bean PARK ; Jeong Sook SEO ; Jung Woo SON ; In Cheol KIM ; Sang Hyun LEE ; Ran HEO ; Hyun Jung LEE ; Jae Hyeong PARK ; Jong Min SONG ; Sang Chol LEE ; Hyungseop KIM ; Duk Hyun KANG ; Jong Won HA ; Kye Hun KIM ;
Journal of Cardiovascular Imaging 2024;32(1):34-
6.U-Net-Based Automatic Segmentation of Sphenoid Sinus Fluid in Drowning Cases Using Postmortem CT Images:A Feasibility Study
Jin-Haeng HEO ; Seon Jung JANG ; Jeong-hwa KWON ; Young San KO ; Sang-Beom IM ; Sookyoung LEE ; In-Soo SEO ; Joo-Young NA ; Yeji KIM ; Yongsu YOON
Korean Journal of Legal Medicine 2024;48(1):7-13
Detecting sphenoid sinus fluid (SSF) is an additional finding in autopsies for diagnosing drowning. SSF can provide additional forensic evidence through laboratory tests such as diatom and electrolyte analyses. If drowning is suspected, accurately assessing the presence and volume of SSF during an autopsy is crucial. Utilizing postmortem computed tomography (PMCT) images could aid in accurately sampling SSF. Accurately segmenting the region of interest is essential for volume analysis using computed tomography images. However, manual segmentation techniques are labor-intensive and time-consuming, and their success depends on the experience of the observer. Therefore, this study aimed to develop a U-Net–based deep learning model for the automatic segmentation of SSF in drowning cases using PMCT images and to evaluate the performance of the model. We retrospectively reviewed 34 drowning cases in which both PMCT scans and forensic autopsies were performed at our institution. The U-Net architecture of deep learning was used for automatic segmentation. The proposed model achieved the Dice similarity coefficient (DSC) and Intersection over Union (IoU) of a maximum of 95.85% and 92.03%, a minimum of 0% and 0%, and an average of 77.15% and 67.18%, respectively. Although the average DSC and IoU did not show high similarity, this study showed that PMCT images can be used for automatic segmentation of SSF in drowning cases, which could improve the performance with sufficient dataset acquisition and further model training.
7.Correction: 2023 Korean Society of Echocardiography position paper for diagnosis and management of valvular heart disease, part I: aortic valve disease
Sun Hwa LEE ; Se Jung YOON ; Byung Joo SUN ; Hyue Mee KIM ; Hyung Yoon KIM ; Sahmin LEE ; Chi Young SHIM ; Eun Kyoung KIM ; Dong Hyuk CHO ; Jun Bean PARK ; Jeong Sook SEO ; Jung Woo SON ; In Cheol KIM ; Sang Hyun LEE ; Ran HEO ; Hyun Jung LEE ; Jae Hyeong PARK ; Jong Min SONG ; Sang Chol LEE ; Hyungseop KIM ; Duk Hyun KANG ; Jong Won HA ; Kye Hun KIM ;
Journal of Cardiovascular Imaging 2024;32(1):34-
8.2023 Korean Society of Echocardiography position paper for diagnosis and management of valvular heart disease, part I: aortic valve disease
Sun Hwa LEE ; Se‑Jung YOON ; Byung Joo SUN ; Hyue Mee KIM ; Hyung Yoon KIM ; Sahmin LEE ; Chi Young SHIM ; Eun Kyoung KIM ; Dong‑Hyuk CHO ; Jun‑Bean PARK ; Jeong‑Sook SEO ; Jung‑Woo SON ; In‑Cheol KIM ; Sang‑Hyun LEE ; Ran HEO ; Hyun‑Jung LEE ; Jae‑Hyeong PARK ; Jong‑Min SONG ; Sang‑Chol LEE ; Hyungseop KIM ; Duk‑Hyun KANG ; Jong‑Won HA ; Kye Hun KIM ;
Journal of Cardiovascular Imaging 2024;32(1):11-
This manuscript represents the official position of the Korean Society of Echocardiography on valvular heart diseases.This position paper focuses on the clinical management of valvular heart diseases with reference to the guidelines recently published by the American College of Cardiology/American Heart Association and the European Society of Cardiology. The committee tried to reflect the recently published results on the topic of valvular heart diseases and Korean data by a systematic literature search based on validity and relevance. In part I of this article, we will review and discuss the current position of aortic valve disease in Korea.
9.2023 Korean Society of Echocardiography position paper for the diagnosis and management of valvular heart disease, part II: mitral and tricuspid valve disease
Chi Young SHIM ; Eun Kyoung KIM ; Dong‑Hyuk CHO ; Jun‑Bean PARK ; Jeong‑Sook SEO ; Jung‑Woo SON ; In‑Cheol KIM ; Sang‑Hyun LEE ; Ran HEO ; Hyun‑Jung LEE ; Sahmin LEE ; Byung Joo SUN ; Se‑Jung YOON ; Sun Hwa LEE ; Hyung Yoon KIM ; Hyue Mee KIM ; Jae‑Hyeong PARK ; Geu‑Ru HONG ; Hae Ok JUNG ; Yong‑Jin KIM ; Kye Hun KIM ; Duk‑Hyun KANG ; Jong‑Won HA ; Hyungseop KIM ;
Journal of Cardiovascular Imaging 2024;32(1):10-
This manuscript represents the official position of the Korean Society of Echocardiography on valvular heart diseases.This position paper focuses on the diagnosis and management of valvular heart diseases with referring to the guide‑ lines recently published by the American College of Cardiology/American Heart Association and the European Society of Cardiology. The committee sought to reflect national data on the topic of valvular heart diseases published to date through a systematic literature search based on validity and relevance. In the part II of this article, we intend to pre‑ sent recommendations for diagnosis and treatment of mitral valve disease and tricuspid valve disease.
10.Difference in Baseline Antimicrobial Prescription Patterns of Hospitals According to Participation in the National Antimicrobial Monitoring and Feedback System in Korea
Jihye SHIN ; Ji Young PARK ; Jungmi CHAE ; Hyung-Sook KIM ; Song Mi MOON ; Eunjeong HEO ; Se Yoon PARK ; Dong Min SEO ; Ha-Jin CHUN ; Yong Chan KIM ; Myung Jin LEE ; Kyungmin HUH ; Hyo Jung PARK ; I Ji YUN ; Su Jin JEONG ; Jun Yong CHOI ; Dong-Sook KIM ; Bongyoung KIM ;
Journal of Korean Medical Science 2024;39(29):e216-
This study aimed to evaluate the differences in the baseline characteristics and patterns of antibiotic usage among hospitals based on their participation in the Korea National Antimicrobial Use Analysis System (KONAS). We obtained claims data from the National Health Insurance for inpatients admitted to all secondary- and tertiary-care hospitals between January 2020 and December 2021 in Korea. 15.9% (58/395) of hospitals were KONAS participants, among which the proportion of hospitals with > 900 beds (31.0% vs.2.6%, P < 0.001) and tertiary care (50.0% vs. 5.2%, P < 0.001) was higher than that among non-participants. The consumption of antibiotics targeting antimicrobial-resistant gram positive bacteria (33.7 vs. 27.1 days of therapy [DOT]/1,000 patient-days, P = 0.019) and antibiotics predominantly used for resistant gram-negative bacteria (4.8 vs. 3.7 DOT/1,000 patient-days, P = 0.034) was higher in KONAS-participating versus -non-participating hospitals. The current KONAS data do not fully represent all secondary- and tertiary-care hospitals in Korea; thus, the KONAS results should be interpreted with caution.

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