1.Characteristics and Prevalence of Sequelae after COVID-19: A Longitudinal Cohort Study
Se Ju LEE ; Yae Jee BAEK ; Su Hwan LEE ; Jung Ho KIM ; Jin Young AHN ; Jooyun KIM ; Ji Hoon JEON ; Hyeri SEOK ; Won Suk CHOI ; Dae Won PARK ; Yunsang CHOI ; Kyoung-Ho SONG ; Eu Suk KIM ; Hong Bin KIM ; Jae-Hoon KO ; Kyong Ran PECK ; Jae-Phil CHOI ; Jun Hyoung KIM ; Hee-Sung KIM ; Hye Won JEONG ; Jun Yong CHOI
Infection and Chemotherapy 2025;57(1):72-80
Background:
The World Health Organization has declared the end of the coronavirus disease 2019 (COVID-19) public health emergency. However, this did not indicate the end of COVID-19. Several months after the infection, numerous patients complain of respiratory or nonspecific symptoms; this condition is called long COVID. Even patients with mild COVID-19 can experience long COVID, thus the burden of long COVID remains considerable. Therefore, we conducted this study to comprehensively analyze the effects of long COVID using multi-faceted assessments.
Materials and Methods:
We conducted a prospective cohort study involving patients diagnosed with COVID-19 between February 2020 and September 2021 in six tertiary hospitals in Korea. Patients were followed up at 1, 3, 6, 12, 18, and 24 months after discharge. Long COVID was defined as the persistence of three or more COVID-19-related symptoms. The primary outcome of this study was the prevalence of long COVID after the period of COVID-19.
Results:
During the study period, 290 patients were enrolled. Among them, 54.5 and 34.6% experienced long COVID within 6 months and after more than 18 months, respectively. Several patients showed abnormal results when tested for post-traumatic stress disorder (17.4%) and anxiety (31.9%) after 18 months. In patients who underwent follow-up chest computed tomography 18 months after COVID-19, abnormal findings remained at 51.9%. Males (odds ratio [OR], 0.17; 95% confidence interval [CI], 0.05–0.53; P=0.004) and elderly (OR, 1.04; 95% CI, 1.00–1.09; P=0.04) showed a significant association with long COVID after 12–18 months in a multivariable logistic regression analysis.
Conclusion
Many patients still showed long COVID after 18 months post SARS-CoV-2 infection. When managing these patients, the assessment of multiple aspects is necessary.
2.Characteristics and Prevalence of Sequelae after COVID-19: A Longitudinal Cohort Study
Se Ju LEE ; Yae Jee BAEK ; Su Hwan LEE ; Jung Ho KIM ; Jin Young AHN ; Jooyun KIM ; Ji Hoon JEON ; Hyeri SEOK ; Won Suk CHOI ; Dae Won PARK ; Yunsang CHOI ; Kyoung-Ho SONG ; Eu Suk KIM ; Hong Bin KIM ; Jae-Hoon KO ; Kyong Ran PECK ; Jae-Phil CHOI ; Jun Hyoung KIM ; Hee-Sung KIM ; Hye Won JEONG ; Jun Yong CHOI
Infection and Chemotherapy 2025;57(1):72-80
Background:
The World Health Organization has declared the end of the coronavirus disease 2019 (COVID-19) public health emergency. However, this did not indicate the end of COVID-19. Several months after the infection, numerous patients complain of respiratory or nonspecific symptoms; this condition is called long COVID. Even patients with mild COVID-19 can experience long COVID, thus the burden of long COVID remains considerable. Therefore, we conducted this study to comprehensively analyze the effects of long COVID using multi-faceted assessments.
Materials and Methods:
We conducted a prospective cohort study involving patients diagnosed with COVID-19 between February 2020 and September 2021 in six tertiary hospitals in Korea. Patients were followed up at 1, 3, 6, 12, 18, and 24 months after discharge. Long COVID was defined as the persistence of three or more COVID-19-related symptoms. The primary outcome of this study was the prevalence of long COVID after the period of COVID-19.
Results:
During the study period, 290 patients were enrolled. Among them, 54.5 and 34.6% experienced long COVID within 6 months and after more than 18 months, respectively. Several patients showed abnormal results when tested for post-traumatic stress disorder (17.4%) and anxiety (31.9%) after 18 months. In patients who underwent follow-up chest computed tomography 18 months after COVID-19, abnormal findings remained at 51.9%. Males (odds ratio [OR], 0.17; 95% confidence interval [CI], 0.05–0.53; P=0.004) and elderly (OR, 1.04; 95% CI, 1.00–1.09; P=0.04) showed a significant association with long COVID after 12–18 months in a multivariable logistic regression analysis.
Conclusion
Many patients still showed long COVID after 18 months post SARS-CoV-2 infection. When managing these patients, the assessment of multiple aspects is necessary.
3.Characteristics and Prevalence of Sequelae after COVID-19: A Longitudinal Cohort Study
Se Ju LEE ; Yae Jee BAEK ; Su Hwan LEE ; Jung Ho KIM ; Jin Young AHN ; Jooyun KIM ; Ji Hoon JEON ; Hyeri SEOK ; Won Suk CHOI ; Dae Won PARK ; Yunsang CHOI ; Kyoung-Ho SONG ; Eu Suk KIM ; Hong Bin KIM ; Jae-Hoon KO ; Kyong Ran PECK ; Jae-Phil CHOI ; Jun Hyoung KIM ; Hee-Sung KIM ; Hye Won JEONG ; Jun Yong CHOI
Infection and Chemotherapy 2025;57(1):72-80
Background:
The World Health Organization has declared the end of the coronavirus disease 2019 (COVID-19) public health emergency. However, this did not indicate the end of COVID-19. Several months after the infection, numerous patients complain of respiratory or nonspecific symptoms; this condition is called long COVID. Even patients with mild COVID-19 can experience long COVID, thus the burden of long COVID remains considerable. Therefore, we conducted this study to comprehensively analyze the effects of long COVID using multi-faceted assessments.
Materials and Methods:
We conducted a prospective cohort study involving patients diagnosed with COVID-19 between February 2020 and September 2021 in six tertiary hospitals in Korea. Patients were followed up at 1, 3, 6, 12, 18, and 24 months after discharge. Long COVID was defined as the persistence of three or more COVID-19-related symptoms. The primary outcome of this study was the prevalence of long COVID after the period of COVID-19.
Results:
During the study period, 290 patients were enrolled. Among them, 54.5 and 34.6% experienced long COVID within 6 months and after more than 18 months, respectively. Several patients showed abnormal results when tested for post-traumatic stress disorder (17.4%) and anxiety (31.9%) after 18 months. In patients who underwent follow-up chest computed tomography 18 months after COVID-19, abnormal findings remained at 51.9%. Males (odds ratio [OR], 0.17; 95% confidence interval [CI], 0.05–0.53; P=0.004) and elderly (OR, 1.04; 95% CI, 1.00–1.09; P=0.04) showed a significant association with long COVID after 12–18 months in a multivariable logistic regression analysis.
Conclusion
Many patients still showed long COVID after 18 months post SARS-CoV-2 infection. When managing these patients, the assessment of multiple aspects is necessary.
4.Primary Cutaneous CD30+ Lymphoproliferative Disorders in South Korea: A Nationwide, Multi-Center, Retrospective, Clinical, and Prognostic Study
Woo Jin LEE ; Sook Jung YUN ; Joon Min JUNG ; Joo Yeon KO ; Kwang Ho KIM ; Dong Hyun KIM ; Myung Hwa KIM ; You Chan KIM ; Jung Eun KIM ; Chan-Ho NA ; Je-Ho MUN ; Jong Bin PARK ; Ji-Hye PARK ; Hai-Jin PARK ; Dong Hoon SHIN ; Jeonghyun SHIN ; Sang Ho OH ; Seok-Kweon YUN ; Dongyoun LEE ; Seok-Jong LEE ; Seung Ho LEE ; Young Bok LEE ; Soyun CHO ; Sooyeon CHOI ; Jae Eun CHOI ; Mi Woo LEE ; On behalf of The Korean Society of Dermatopathology
Annals of Dermatology 2025;37(2):75-85
Background:
Primary cutaneous CD30+ lymphoproliferative disorders (pcCD30-LPDs) are a diseases with various clinical and prognostic characteristics.
Objective:
Increasing our knowledge of the clinical characteristics of pcCD30-LPDs and identifying potential prognostic variables in an Asian population.
Methods:
Clinicopathological features and survival data of pcCD30-LPD cases obtained from 22 hospitals in South Korea were examined.
Results:
A total of 413 cases of pcCD30-LPDs (lymphomatoid papulosis [LYP], n=237; primary cutaneous anaplastic large cell lymphoma [C-ALCL], n=176) were included. Ninety percent of LYP patients and roughly 50% of C-ALCL patients presented with multiple skin lesions. Both LYP and C-ALCL affected the lower limbs most frequently. Multiplicity and advanced T stage of LYP lesions were associated with a chronic course longer than 6 months. Clinical morphology with patch lesions and elevated serum lactate dehydrogenase were significantly associated with LPDs during follow-up in LYP patients. Extracutaneous involvement of C-ALCL occurred in 13.2% of patients. Lesions larger than 5 cm and increased serum lactate dehydrogenase were associated with a poor prognosis in C-ALCL. The survival of patients with C-ALCL was unaffected by the anatomical locations of skin lesions or other pathological factors.
Conclusion
The multiplicity or size of skin lesions was associated with a chronic course of LYP and survival among patients with C-ALCL.
5.Voice of Customer Analysis of Nursing Care in a Tertiary Hospital:Text Network Analysis and Topic Modeling
Hyunjung KO ; Nara HAN ; Seulki JEONG ; Jeong A JEONG ; Hye Ryoung YUN ; Eun Sil KIM ; Young Jun JANG ; Eun Ju CHOI ; Chun Hoe LIM ; Min Hee JUNG ; Jung Hee KIM ; Dong Hyu CHO ; Seok Hee JEONG
Journal of Korean Academy of Nursing Administration 2024;30(5):529-542
Purpose:
This study aimed to explore customer perspectives of nursing services in tertiary hospitals.
Methods:
The data comprised mobile Voice Of Customer (VOC) data related to “nursing” or “nurses” generated from June 25, 2019, to December 31, 2022, in a tertiary hospital. A total of 44,727 VOC data points were collected, of which 4,040 were selected for the final analysis. Text network analysis and topic modeling were conducted using NetMiner 4.5.1.
Results:
Topic modeling identified five topics for positive aspects and four topics for areas requiring improvement.The positive aspects were: 1) sincere nursing care; 2) rapid response from professional medical staff; 3) teamwork for delivering customer-centric services; 4) provision and coordination of system-based healthcare services; and 5) customer-focused responsiveness. The areas requiring improvement were: 1) demand for skilled nursing care tailored to customer expectations; 2) demand for enhanced communication and reduced mechanical responses; 3) demand for appropriate handling of diverse situations; and 4) demand for overall improvements to the healthcare system, including reservation systems.
Conclusion
These results may be used to enhance customer and patient experiences in tertiary hospitals and are necessary for utilization from a hospital management perspective.
6.Voice of Customer Analysis of Nursing Care in a Tertiary Hospital:Text Network Analysis and Topic Modeling
Hyunjung KO ; Nara HAN ; Seulki JEONG ; Jeong A JEONG ; Hye Ryoung YUN ; Eun Sil KIM ; Young Jun JANG ; Eun Ju CHOI ; Chun Hoe LIM ; Min Hee JUNG ; Jung Hee KIM ; Dong Hyu CHO ; Seok Hee JEONG
Journal of Korean Academy of Nursing Administration 2024;30(5):529-542
Purpose:
This study aimed to explore customer perspectives of nursing services in tertiary hospitals.
Methods:
The data comprised mobile Voice Of Customer (VOC) data related to “nursing” or “nurses” generated from June 25, 2019, to December 31, 2022, in a tertiary hospital. A total of 44,727 VOC data points were collected, of which 4,040 were selected for the final analysis. Text network analysis and topic modeling were conducted using NetMiner 4.5.1.
Results:
Topic modeling identified five topics for positive aspects and four topics for areas requiring improvement.The positive aspects were: 1) sincere nursing care; 2) rapid response from professional medical staff; 3) teamwork for delivering customer-centric services; 4) provision and coordination of system-based healthcare services; and 5) customer-focused responsiveness. The areas requiring improvement were: 1) demand for skilled nursing care tailored to customer expectations; 2) demand for enhanced communication and reduced mechanical responses; 3) demand for appropriate handling of diverse situations; and 4) demand for overall improvements to the healthcare system, including reservation systems.
Conclusion
These results may be used to enhance customer and patient experiences in tertiary hospitals and are necessary for utilization from a hospital management perspective.
7.A 3D-Printed Model for High Sacrectomy of a Marjolin’s Ulcer–Associated Sacral Tumor: A Case Report and Literature Review
Woong Rae JO ; Sae Min KWON ; Chang-Young LEE ; Chang-Hyun KIM ; In Soo KIM ; Jaehoon CHOI ; Hye Ra JUNG ; Young San KO
The Nerve 2024;10(1):63-69
Marjolin’s ulcer is a rare but aggressive form of skin cancer that often presents significant surgical challenges due to the complex anatomy of the pelvis and the necessity for wide excision to avoid recurrence. This case report highlights the innovative use of a 3-dimensional (3D)–printed model for the precise planning and successful execution of a high partial sacrectomy in a 48-year-old male patient with quadriplegia. This patient, who had sustained a cervical spine injury in 1996, developed a sacral pressure sore that progressed into a Marjolin's ulcer. Utilizing high-resolution 3D computed tomography scans, we created a detailed 3D-printed model of the patient's sacrum, which facilitated a thorough understanding of the tumor's anatomy and its spatial relationships with critical structures. This approach significantly aided the surgical team in executing a challenging excision while minimizing risk to the adjacent organs. This case underscores the potential of 3D printing technology to enhance surgical planning and outcomes in complex oncological resections, particularly in anatomically challenging regions.
8.Voice of Customer Analysis of Nursing Care in a Tertiary Hospital:Text Network Analysis and Topic Modeling
Hyunjung KO ; Nara HAN ; Seulki JEONG ; Jeong A JEONG ; Hye Ryoung YUN ; Eun Sil KIM ; Young Jun JANG ; Eun Ju CHOI ; Chun Hoe LIM ; Min Hee JUNG ; Jung Hee KIM ; Dong Hyu CHO ; Seok Hee JEONG
Journal of Korean Academy of Nursing Administration 2024;30(5):529-542
Purpose:
This study aimed to explore customer perspectives of nursing services in tertiary hospitals.
Methods:
The data comprised mobile Voice Of Customer (VOC) data related to “nursing” or “nurses” generated from June 25, 2019, to December 31, 2022, in a tertiary hospital. A total of 44,727 VOC data points were collected, of which 4,040 were selected for the final analysis. Text network analysis and topic modeling were conducted using NetMiner 4.5.1.
Results:
Topic modeling identified five topics for positive aspects and four topics for areas requiring improvement.The positive aspects were: 1) sincere nursing care; 2) rapid response from professional medical staff; 3) teamwork for delivering customer-centric services; 4) provision and coordination of system-based healthcare services; and 5) customer-focused responsiveness. The areas requiring improvement were: 1) demand for skilled nursing care tailored to customer expectations; 2) demand for enhanced communication and reduced mechanical responses; 3) demand for appropriate handling of diverse situations; and 4) demand for overall improvements to the healthcare system, including reservation systems.
Conclusion
These results may be used to enhance customer and patient experiences in tertiary hospitals and are necessary for utilization from a hospital management perspective.
9.Voice of Customer Analysis of Nursing Care in a Tertiary Hospital:Text Network Analysis and Topic Modeling
Hyunjung KO ; Nara HAN ; Seulki JEONG ; Jeong A JEONG ; Hye Ryoung YUN ; Eun Sil KIM ; Young Jun JANG ; Eun Ju CHOI ; Chun Hoe LIM ; Min Hee JUNG ; Jung Hee KIM ; Dong Hyu CHO ; Seok Hee JEONG
Journal of Korean Academy of Nursing Administration 2024;30(5):529-542
Purpose:
This study aimed to explore customer perspectives of nursing services in tertiary hospitals.
Methods:
The data comprised mobile Voice Of Customer (VOC) data related to “nursing” or “nurses” generated from June 25, 2019, to December 31, 2022, in a tertiary hospital. A total of 44,727 VOC data points were collected, of which 4,040 were selected for the final analysis. Text network analysis and topic modeling were conducted using NetMiner 4.5.1.
Results:
Topic modeling identified five topics for positive aspects and four topics for areas requiring improvement.The positive aspects were: 1) sincere nursing care; 2) rapid response from professional medical staff; 3) teamwork for delivering customer-centric services; 4) provision and coordination of system-based healthcare services; and 5) customer-focused responsiveness. The areas requiring improvement were: 1) demand for skilled nursing care tailored to customer expectations; 2) demand for enhanced communication and reduced mechanical responses; 3) demand for appropriate handling of diverse situations; and 4) demand for overall improvements to the healthcare system, including reservation systems.
Conclusion
These results may be used to enhance customer and patient experiences in tertiary hospitals and are necessary for utilization from a hospital management perspective.
10.Newly Developed Sex-Specific Z Score Model for Coronary Artery Diameter in a Pediatric Population
Jeong Jin YU ; Hee Joung CHOI ; Hwa Jin CHO ; Sung Hye KIM ; Eun Jung CHEON ; Gi Beom KIM ; Lucy Youngmin EUN ; Se Yong JUNG ; Hyun Ok JUN ; Hyang-Ok WOO ; Sin-Ae PARK ; Soyoung YOON ; Hoon KO ; Ji-Eun BAN ; Jong-Woon CHOI ; Min Seob SONG ; Ji Whan HAN
Journal of Korean Medical Science 2024;39(16):e144-
Background:
This study aimed to generate a Z score calculation model for coronary artery diameter of normal children and adolescents to be adopted as the standard calculation method with consensus in clinical practice.
Methods:
This study was a retrospective, multicenter study that collected data from multiple institutions across South Korea. Data were analyzed to determine the model that best fit the relationship between the diameter of coronary arteries and independent demographic parameters. Linear, power, logarithmic, exponential, and square root polynomial models were tested for best fit.
Results:
Data of 2,030 subjects were collected from 16 institutions. Separate calculation models for each sex were developed because the impact of demographic variables on the diameter of coronary arteries differs according to sex. The final model was the polynomial formula with an exponential relationship between the diameter of coronary arteries and body surface area using the DuBois formula.
Conclusion
A new coronary artery diameter Z score model was developed and is anticipated to be applicable in clinical practice. The new model will help establish a consensus-based Z score model.

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