1.Incidence and Temporal Dynamics of Combined Infections in SARS-CoV-2-Infected Patients With Risk Factors for Severe Complications
Sin Young HAM ; Seungjae LEE ; Min-Kyung KIM ; Jaehyun JEON ; Eunyoung LEE ; Subin KIM ; Jae-Phil CHOI ; Hee-Chang JANG ; Sang-Won PARK
Journal of Korean Medical Science 2025;40(11):e38-
Background:
Coronavirus disease 2019 (COVID-19) is a newly emerged infectious disease that needs further clinical investigation. Characterizing the temporal pattern of combined infections in patients with COVID-19 may help clinicians understand the clinical nature of this disease and provide valuable diagnostic and therapeutic guidelines.
Methods:
We retrospectively analyzed COVID-19 patients isolated in four study hospitals in Korea for one year period from May 2021 to April 2022 when the delta and omicron variants were dominant. The temporal characteristics of combined infections based on specific diagnostic tests were analyzed.
Results:
A total of 16,967 COVID-19 patients were screened, 2,432 (14.3%) of whom underwent diagnostic microbiologic tests according to the clinical decision-making, 195 of whom had positive test results, and 0.55% (94/16,967) of whom were ultimately considered to have clinically meaningful combined infections. The median duration for the diagnosis of combined infections was 15 (interquartile range [IQR], 5–25) days after admission. The proportion of community-acquired coinfections (≤ 2 days after admission) was 11.7% (11/94), which included bacteremia (10/94, 10.63%) and tuberculosis (1/94, 1.06%). Combined infections after 2 days of admission were diagnosed at median 16 (IQR, 9–26) days, and included bacteremia (72.3%), fungemia (19.3%), cytomegalovirus (CMV) diseases (8.4%), Pneumocystis jerovecii pneumonia (PJP, 8.4%) and invasive pulmonary aspergillosis (IPA, 4.8%).
Conclusion
Among COVID-19 patients with risk factors for severe complications, 0.55% had laboratory-confirmed combined infections, which included community and nosocomial pathogens in addition to unusual pathogens such as CMV disease, PJP and IPA.
2.Atherosclerotic Cardiovascular Disease in Cancer Survivors: Current Evidence, Risk Prediction, Prevention, and Management
Arum CHOI ; Subin KIM ; Seonji KIM ; Iksung CHO ; Min Jae CHA ; Seng Chan YOU
Journal of Lipid and Atherosclerosis 2025;14(1):30-39
While advances in cancer treatment have led to improved survival rates, cancer survivors are at a significant risk of developing atherosclerotic cardiovascular disease (ASCVD).This review examines the risk, diagnosis, and prevention of ASCVD in this population.Cancer survivors, especially those diagnosed with certain types, face a significantly higher risk of developing ASCVD than the general population. We introduce the “triad model” to explain this increased risk of ASCVD among cancer patients. This model includes three interconnected components: common catalysts, cancer influence, and treatment impact.The factors contributing to this model are the shared risk factors between cancer and ASCVD, such as smoking, obesity, and systemic inflammation; the direct effects of cancer on cardiovascular health through chronic systemic inflammation and endothelial damage;and the significant effects of anticancer treatments, including chemotherapy and radiation, which can worsen cardiovascular complications and hasten the progression of ASCVD.Furthermore, cancer survivors are at a higher risk of developing and dying from ASCVD, highlighting the necessity for tailored guidelines and strategies for ASCVD prevention and management in this population. The review explores the utility of diagnostic tools, such as coronary artery calcium scoring, in predicting and managing ASCVD risk. It also emphasizes the importance of prevention strategies that include regular cardiovascular monitoring and lifestyle modifications. Finally, the relationship between cancer survival and cardiovascular health highlights the importance of integrated and comprehensive care approaches.Continued research, the development of prediction models, and specific preventative strategies are essential to improve cancer survivors’ overall health outcomes.
3.Incidence and Temporal Dynamics of Combined Infections in SARS-CoV-2-Infected Patients With Risk Factors for Severe Complications
Sin Young HAM ; Seungjae LEE ; Min-Kyung KIM ; Jaehyun JEON ; Eunyoung LEE ; Subin KIM ; Jae-Phil CHOI ; Hee-Chang JANG ; Sang-Won PARK
Journal of Korean Medical Science 2025;40(11):e38-
Background:
Coronavirus disease 2019 (COVID-19) is a newly emerged infectious disease that needs further clinical investigation. Characterizing the temporal pattern of combined infections in patients with COVID-19 may help clinicians understand the clinical nature of this disease and provide valuable diagnostic and therapeutic guidelines.
Methods:
We retrospectively analyzed COVID-19 patients isolated in four study hospitals in Korea for one year period from May 2021 to April 2022 when the delta and omicron variants were dominant. The temporal characteristics of combined infections based on specific diagnostic tests were analyzed.
Results:
A total of 16,967 COVID-19 patients were screened, 2,432 (14.3%) of whom underwent diagnostic microbiologic tests according to the clinical decision-making, 195 of whom had positive test results, and 0.55% (94/16,967) of whom were ultimately considered to have clinically meaningful combined infections. The median duration for the diagnosis of combined infections was 15 (interquartile range [IQR], 5–25) days after admission. The proportion of community-acquired coinfections (≤ 2 days after admission) was 11.7% (11/94), which included bacteremia (10/94, 10.63%) and tuberculosis (1/94, 1.06%). Combined infections after 2 days of admission were diagnosed at median 16 (IQR, 9–26) days, and included bacteremia (72.3%), fungemia (19.3%), cytomegalovirus (CMV) diseases (8.4%), Pneumocystis jerovecii pneumonia (PJP, 8.4%) and invasive pulmonary aspergillosis (IPA, 4.8%).
Conclusion
Among COVID-19 patients with risk factors for severe complications, 0.55% had laboratory-confirmed combined infections, which included community and nosocomial pathogens in addition to unusual pathogens such as CMV disease, PJP and IPA.
4.Atherosclerotic Cardiovascular Disease in Cancer Survivors: Current Evidence, Risk Prediction, Prevention, and Management
Arum CHOI ; Subin KIM ; Seonji KIM ; Iksung CHO ; Min Jae CHA ; Seng Chan YOU
Journal of Lipid and Atherosclerosis 2025;14(1):30-39
While advances in cancer treatment have led to improved survival rates, cancer survivors are at a significant risk of developing atherosclerotic cardiovascular disease (ASCVD).This review examines the risk, diagnosis, and prevention of ASCVD in this population.Cancer survivors, especially those diagnosed with certain types, face a significantly higher risk of developing ASCVD than the general population. We introduce the “triad model” to explain this increased risk of ASCVD among cancer patients. This model includes three interconnected components: common catalysts, cancer influence, and treatment impact.The factors contributing to this model are the shared risk factors between cancer and ASCVD, such as smoking, obesity, and systemic inflammation; the direct effects of cancer on cardiovascular health through chronic systemic inflammation and endothelial damage;and the significant effects of anticancer treatments, including chemotherapy and radiation, which can worsen cardiovascular complications and hasten the progression of ASCVD.Furthermore, cancer survivors are at a higher risk of developing and dying from ASCVD, highlighting the necessity for tailored guidelines and strategies for ASCVD prevention and management in this population. The review explores the utility of diagnostic tools, such as coronary artery calcium scoring, in predicting and managing ASCVD risk. It also emphasizes the importance of prevention strategies that include regular cardiovascular monitoring and lifestyle modifications. Finally, the relationship between cancer survival and cardiovascular health highlights the importance of integrated and comprehensive care approaches.Continued research, the development of prediction models, and specific preventative strategies are essential to improve cancer survivors’ overall health outcomes.
5.Incidence and Temporal Dynamics of Combined Infections in SARS-CoV-2-Infected Patients With Risk Factors for Severe Complications
Sin Young HAM ; Seungjae LEE ; Min-Kyung KIM ; Jaehyun JEON ; Eunyoung LEE ; Subin KIM ; Jae-Phil CHOI ; Hee-Chang JANG ; Sang-Won PARK
Journal of Korean Medical Science 2025;40(11):e38-
Background:
Coronavirus disease 2019 (COVID-19) is a newly emerged infectious disease that needs further clinical investigation. Characterizing the temporal pattern of combined infections in patients with COVID-19 may help clinicians understand the clinical nature of this disease and provide valuable diagnostic and therapeutic guidelines.
Methods:
We retrospectively analyzed COVID-19 patients isolated in four study hospitals in Korea for one year period from May 2021 to April 2022 when the delta and omicron variants were dominant. The temporal characteristics of combined infections based on specific diagnostic tests were analyzed.
Results:
A total of 16,967 COVID-19 patients were screened, 2,432 (14.3%) of whom underwent diagnostic microbiologic tests according to the clinical decision-making, 195 of whom had positive test results, and 0.55% (94/16,967) of whom were ultimately considered to have clinically meaningful combined infections. The median duration for the diagnosis of combined infections was 15 (interquartile range [IQR], 5–25) days after admission. The proportion of community-acquired coinfections (≤ 2 days after admission) was 11.7% (11/94), which included bacteremia (10/94, 10.63%) and tuberculosis (1/94, 1.06%). Combined infections after 2 days of admission were diagnosed at median 16 (IQR, 9–26) days, and included bacteremia (72.3%), fungemia (19.3%), cytomegalovirus (CMV) diseases (8.4%), Pneumocystis jerovecii pneumonia (PJP, 8.4%) and invasive pulmonary aspergillosis (IPA, 4.8%).
Conclusion
Among COVID-19 patients with risk factors for severe complications, 0.55% had laboratory-confirmed combined infections, which included community and nosocomial pathogens in addition to unusual pathogens such as CMV disease, PJP and IPA.
6.Atherosclerotic Cardiovascular Disease in Cancer Survivors: Current Evidence, Risk Prediction, Prevention, and Management
Arum CHOI ; Subin KIM ; Seonji KIM ; Iksung CHO ; Min Jae CHA ; Seng Chan YOU
Journal of Lipid and Atherosclerosis 2025;14(1):30-39
While advances in cancer treatment have led to improved survival rates, cancer survivors are at a significant risk of developing atherosclerotic cardiovascular disease (ASCVD).This review examines the risk, diagnosis, and prevention of ASCVD in this population.Cancer survivors, especially those diagnosed with certain types, face a significantly higher risk of developing ASCVD than the general population. We introduce the “triad model” to explain this increased risk of ASCVD among cancer patients. This model includes three interconnected components: common catalysts, cancer influence, and treatment impact.The factors contributing to this model are the shared risk factors between cancer and ASCVD, such as smoking, obesity, and systemic inflammation; the direct effects of cancer on cardiovascular health through chronic systemic inflammation and endothelial damage;and the significant effects of anticancer treatments, including chemotherapy and radiation, which can worsen cardiovascular complications and hasten the progression of ASCVD.Furthermore, cancer survivors are at a higher risk of developing and dying from ASCVD, highlighting the necessity for tailored guidelines and strategies for ASCVD prevention and management in this population. The review explores the utility of diagnostic tools, such as coronary artery calcium scoring, in predicting and managing ASCVD risk. It also emphasizes the importance of prevention strategies that include regular cardiovascular monitoring and lifestyle modifications. Finally, the relationship between cancer survival and cardiovascular health highlights the importance of integrated and comprehensive care approaches.Continued research, the development of prediction models, and specific preventative strategies are essential to improve cancer survivors’ overall health outcomes.
7.Incidence and Temporal Dynamics of Combined Infections in SARS-CoV-2-Infected Patients With Risk Factors for Severe Complications
Sin Young HAM ; Seungjae LEE ; Min-Kyung KIM ; Jaehyun JEON ; Eunyoung LEE ; Subin KIM ; Jae-Phil CHOI ; Hee-Chang JANG ; Sang-Won PARK
Journal of Korean Medical Science 2025;40(11):e38-
Background:
Coronavirus disease 2019 (COVID-19) is a newly emerged infectious disease that needs further clinical investigation. Characterizing the temporal pattern of combined infections in patients with COVID-19 may help clinicians understand the clinical nature of this disease and provide valuable diagnostic and therapeutic guidelines.
Methods:
We retrospectively analyzed COVID-19 patients isolated in four study hospitals in Korea for one year period from May 2021 to April 2022 when the delta and omicron variants were dominant. The temporal characteristics of combined infections based on specific diagnostic tests were analyzed.
Results:
A total of 16,967 COVID-19 patients were screened, 2,432 (14.3%) of whom underwent diagnostic microbiologic tests according to the clinical decision-making, 195 of whom had positive test results, and 0.55% (94/16,967) of whom were ultimately considered to have clinically meaningful combined infections. The median duration for the diagnosis of combined infections was 15 (interquartile range [IQR], 5–25) days after admission. The proportion of community-acquired coinfections (≤ 2 days after admission) was 11.7% (11/94), which included bacteremia (10/94, 10.63%) and tuberculosis (1/94, 1.06%). Combined infections after 2 days of admission were diagnosed at median 16 (IQR, 9–26) days, and included bacteremia (72.3%), fungemia (19.3%), cytomegalovirus (CMV) diseases (8.4%), Pneumocystis jerovecii pneumonia (PJP, 8.4%) and invasive pulmonary aspergillosis (IPA, 4.8%).
Conclusion
Among COVID-19 patients with risk factors for severe complications, 0.55% had laboratory-confirmed combined infections, which included community and nosocomial pathogens in addition to unusual pathogens such as CMV disease, PJP and IPA.
8.Atherosclerotic Cardiovascular Disease in Cancer Survivors: Current Evidence, Risk Prediction, Prevention, and Management
Arum CHOI ; Subin KIM ; Seonji KIM ; Iksung CHO ; Min Jae CHA ; Seng Chan YOU
Journal of Lipid and Atherosclerosis 2025;14(1):30-39
While advances in cancer treatment have led to improved survival rates, cancer survivors are at a significant risk of developing atherosclerotic cardiovascular disease (ASCVD).This review examines the risk, diagnosis, and prevention of ASCVD in this population.Cancer survivors, especially those diagnosed with certain types, face a significantly higher risk of developing ASCVD than the general population. We introduce the “triad model” to explain this increased risk of ASCVD among cancer patients. This model includes three interconnected components: common catalysts, cancer influence, and treatment impact.The factors contributing to this model are the shared risk factors between cancer and ASCVD, such as smoking, obesity, and systemic inflammation; the direct effects of cancer on cardiovascular health through chronic systemic inflammation and endothelial damage;and the significant effects of anticancer treatments, including chemotherapy and radiation, which can worsen cardiovascular complications and hasten the progression of ASCVD.Furthermore, cancer survivors are at a higher risk of developing and dying from ASCVD, highlighting the necessity for tailored guidelines and strategies for ASCVD prevention and management in this population. The review explores the utility of diagnostic tools, such as coronary artery calcium scoring, in predicting and managing ASCVD risk. It also emphasizes the importance of prevention strategies that include regular cardiovascular monitoring and lifestyle modifications. Finally, the relationship between cancer survival and cardiovascular health highlights the importance of integrated and comprehensive care approaches.Continued research, the development of prediction models, and specific preventative strategies are essential to improve cancer survivors’ overall health outcomes.
9.Clinical Manifestations and Adverse Cardiovascular Events in Patients with Cardiovascular Symptoms after mRNA Coronavirus Disease 2019 Vaccines
William D. KIM ; Min Jae CHA ; Subin KIM ; Dong-Gil KIM ; Jae-Jin KWAK ; Sung Woo CHO ; Joon Hyung DOH ; Sung Uk KWON ; June NAMGUNG ; Sung Yun LEE ; Jiwon SEO ; Geu-ru HONG ; Ji-won HWANG ; Iksung CHO
Yonsei Medical Journal 2024;65(11):629-635
Purpose:
The number of patients presenting with vaccination-related cardiovascular symptoms after receiving mRNA vaccines (mRNA-VRCS) is increasing. We investigated the incidence of vaccine-related adverse events (VAEs), including myocarditis and pericarditis, in patients with mRNA-VRCS after receiving BNT162b2-Pfizer-BioNTech and mRNA-1273-Moderna vaccines.
Materials and Methods:
We retrospectively collected data on patients presenting with mRNA-VRCS who visited the outpatient clinic of two tertiary medical centers. Clinical characteristics, laboratory findings, echocardiographic findings, and electrocardiographic findings were evaluated. VAE was defined as myocarditis or pericarditis in patients after mRNA vaccination. Clinical outcomes during short-term follow-up, including emergency room (ER) visit, hospitalization, or death, were also assessed among the patients.
Results:
A total of 952 patients presenting with mRNA-VRCS were included in this study, with 89.7% receiving Pfizer-BioNTech and 10.3% receiving Moderna vaccines. The mean duration from vaccination to symptom was 5.6±7.5 days. VAEs, including acute myocarditis and acute pericarditis, were confirmed in 11 (1.2%) and 10 (1.1%) patients, respectively. The VAE group showed higher rates of dyspnea, echocardiography changes, and ST-T segment changes. During the short-term follow-up period of 3 months, the VAE group showed a higher hospitalization rate compared to the control group; there was no significant difference in ER visit (p=0.320) or mortality rates (p>0.999).
Conclusion
Amongst the patients who experienced mRNA-VRCS, the total incidence of VAEs, including acute myocarditis and pericarditis, was 2.2%. Patients with VAEs showed higher rates of dyspnea, echocardiographic changes, and ST-T segment changes compared to those without VAEs. With or without the cardiovascular events, the prognosis in patients with mRNA-VRCS was favorable.
10.Clinical Manifestations and Adverse Cardiovascular Events in Patients with Cardiovascular Symptoms after mRNA Coronavirus Disease 2019 Vaccines
William D. KIM ; Min Jae CHA ; Subin KIM ; Dong-Gil KIM ; Jae-Jin KWAK ; Sung Woo CHO ; Joon Hyung DOH ; Sung Uk KWON ; June NAMGUNG ; Sung Yun LEE ; Jiwon SEO ; Geu-ru HONG ; Ji-won HWANG ; Iksung CHO
Yonsei Medical Journal 2024;65(11):629-635
Purpose:
The number of patients presenting with vaccination-related cardiovascular symptoms after receiving mRNA vaccines (mRNA-VRCS) is increasing. We investigated the incidence of vaccine-related adverse events (VAEs), including myocarditis and pericarditis, in patients with mRNA-VRCS after receiving BNT162b2-Pfizer-BioNTech and mRNA-1273-Moderna vaccines.
Materials and Methods:
We retrospectively collected data on patients presenting with mRNA-VRCS who visited the outpatient clinic of two tertiary medical centers. Clinical characteristics, laboratory findings, echocardiographic findings, and electrocardiographic findings were evaluated. VAE was defined as myocarditis or pericarditis in patients after mRNA vaccination. Clinical outcomes during short-term follow-up, including emergency room (ER) visit, hospitalization, or death, were also assessed among the patients.
Results:
A total of 952 patients presenting with mRNA-VRCS were included in this study, with 89.7% receiving Pfizer-BioNTech and 10.3% receiving Moderna vaccines. The mean duration from vaccination to symptom was 5.6±7.5 days. VAEs, including acute myocarditis and acute pericarditis, were confirmed in 11 (1.2%) and 10 (1.1%) patients, respectively. The VAE group showed higher rates of dyspnea, echocardiography changes, and ST-T segment changes. During the short-term follow-up period of 3 months, the VAE group showed a higher hospitalization rate compared to the control group; there was no significant difference in ER visit (p=0.320) or mortality rates (p>0.999).
Conclusion
Amongst the patients who experienced mRNA-VRCS, the total incidence of VAEs, including acute myocarditis and pericarditis, was 2.2%. Patients with VAEs showed higher rates of dyspnea, echocardiographic changes, and ST-T segment changes compared to those without VAEs. With or without the cardiovascular events, the prognosis in patients with mRNA-VRCS was favorable.

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