1.Pre-Treatment Perceived Social Support Is Associated With Chemotherapy-Induced Peripheral Neuropathy in Patients With Breast Cancer: A Longitudinal Study
Joon Sung SHIN ; Sanghyup JUNG ; Geun Hui WON ; Sun Hyung LEE ; Jaehyun KIM ; Saim JUNG ; Chan-Woo YEOM ; Kwang-Min LEE ; Kyung-Lak SON ; Jang-il KIM ; Sook Young JEON ; Han-Byoel LEE ; Bong-Jin HAHM
Psychiatry Investigation 2025;22(4):424-434
Objective:
Previous studies have reported an association between cancer-related symptoms and perceived social support (PSS). The objective of this study was to analyze whether Chemotherapy-Induced Peripheral Neuropathy (CIPN), a prevalent side effect of chemotherapy, varies according to PSS level using a validated tool for CIPN at prospective follow-up.
Methods:
A total of 39 breast cancer patients were evaluated for PSS using the Multidimensional Scale of Perceived Social Support (MSPSS) prior to chemotherapy and were subsequently grouped into one of two categories for each subscale: low-to-moderate PSS and high PSS. CIPN was prospectively evaluated using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Chemotherapy-Induced Peripheral Neuropathy 20 (CIPN20) at five time points. A linear mixed-effects model with square root transformation was employed to investigate whether the CIPN20 scales varied by PSS level and time point.
Results:
Statistical analysis of the MSPSS total scale and subscales revealed a significant effect of the friends subscale group and time point on the CIPN20 sensory scale. The sensory scale score of CIPN20 was found to be lower in participants with high PSS from friends in comparison to those with low-to-moderate PSS at 1 month post-chemotherapy (p=0.010).
Conclusion
This is the first study to prospectively follow the long-term effect of pre-treatment PSS from friends on CIPN. Further studies based on larger samples are required to analyze the effects of PSS on the pathophysiology of CIPN.
2.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.
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.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.
5.Pre-Treatment Perceived Social Support Is Associated With Chemotherapy-Induced Peripheral Neuropathy in Patients With Breast Cancer: A Longitudinal Study
Joon Sung SHIN ; Sanghyup JUNG ; Geun Hui WON ; Sun Hyung LEE ; Jaehyun KIM ; Saim JUNG ; Chan-Woo YEOM ; Kwang-Min LEE ; Kyung-Lak SON ; Jang-il KIM ; Sook Young JEON ; Han-Byoel LEE ; Bong-Jin HAHM
Psychiatry Investigation 2025;22(4):424-434
Objective:
Previous studies have reported an association between cancer-related symptoms and perceived social support (PSS). The objective of this study was to analyze whether Chemotherapy-Induced Peripheral Neuropathy (CIPN), a prevalent side effect of chemotherapy, varies according to PSS level using a validated tool for CIPN at prospective follow-up.
Methods:
A total of 39 breast cancer patients were evaluated for PSS using the Multidimensional Scale of Perceived Social Support (MSPSS) prior to chemotherapy and were subsequently grouped into one of two categories for each subscale: low-to-moderate PSS and high PSS. CIPN was prospectively evaluated using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Chemotherapy-Induced Peripheral Neuropathy 20 (CIPN20) at five time points. A linear mixed-effects model with square root transformation was employed to investigate whether the CIPN20 scales varied by PSS level and time point.
Results:
Statistical analysis of the MSPSS total scale and subscales revealed a significant effect of the friends subscale group and time point on the CIPN20 sensory scale. The sensory scale score of CIPN20 was found to be lower in participants with high PSS from friends in comparison to those with low-to-moderate PSS at 1 month post-chemotherapy (p=0.010).
Conclusion
This is the first study to prospectively follow the long-term effect of pre-treatment PSS from friends on CIPN. Further studies based on larger samples are required to analyze the effects of PSS on the pathophysiology of CIPN.
6.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.
7.Pre-Treatment Perceived Social Support Is Associated With Chemotherapy-Induced Peripheral Neuropathy in Patients With Breast Cancer: A Longitudinal Study
Joon Sung SHIN ; Sanghyup JUNG ; Geun Hui WON ; Sun Hyung LEE ; Jaehyun KIM ; Saim JUNG ; Chan-Woo YEOM ; Kwang-Min LEE ; Kyung-Lak SON ; Jang-il KIM ; Sook Young JEON ; Han-Byoel LEE ; Bong-Jin HAHM
Psychiatry Investigation 2025;22(4):424-434
Objective:
Previous studies have reported an association between cancer-related symptoms and perceived social support (PSS). The objective of this study was to analyze whether Chemotherapy-Induced Peripheral Neuropathy (CIPN), a prevalent side effect of chemotherapy, varies according to PSS level using a validated tool for CIPN at prospective follow-up.
Methods:
A total of 39 breast cancer patients were evaluated for PSS using the Multidimensional Scale of Perceived Social Support (MSPSS) prior to chemotherapy and were subsequently grouped into one of two categories for each subscale: low-to-moderate PSS and high PSS. CIPN was prospectively evaluated using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Chemotherapy-Induced Peripheral Neuropathy 20 (CIPN20) at five time points. A linear mixed-effects model with square root transformation was employed to investigate whether the CIPN20 scales varied by PSS level and time point.
Results:
Statistical analysis of the MSPSS total scale and subscales revealed a significant effect of the friends subscale group and time point on the CIPN20 sensory scale. The sensory scale score of CIPN20 was found to be lower in participants with high PSS from friends in comparison to those with low-to-moderate PSS at 1 month post-chemotherapy (p=0.010).
Conclusion
This is the first study to prospectively follow the long-term effect of pre-treatment PSS from friends on CIPN. Further studies based on larger samples are required to analyze the effects of PSS on the pathophysiology of CIPN.
8.Pre-Treatment Perceived Social Support Is Associated With Chemotherapy-Induced Peripheral Neuropathy in Patients With Breast Cancer: A Longitudinal Study
Joon Sung SHIN ; Sanghyup JUNG ; Geun Hui WON ; Sun Hyung LEE ; Jaehyun KIM ; Saim JUNG ; Chan-Woo YEOM ; Kwang-Min LEE ; Kyung-Lak SON ; Jang-il KIM ; Sook Young JEON ; Han-Byoel LEE ; Bong-Jin HAHM
Psychiatry Investigation 2025;22(4):424-434
Objective:
Previous studies have reported an association between cancer-related symptoms and perceived social support (PSS). The objective of this study was to analyze whether Chemotherapy-Induced Peripheral Neuropathy (CIPN), a prevalent side effect of chemotherapy, varies according to PSS level using a validated tool for CIPN at prospective follow-up.
Methods:
A total of 39 breast cancer patients were evaluated for PSS using the Multidimensional Scale of Perceived Social Support (MSPSS) prior to chemotherapy and were subsequently grouped into one of two categories for each subscale: low-to-moderate PSS and high PSS. CIPN was prospectively evaluated using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Chemotherapy-Induced Peripheral Neuropathy 20 (CIPN20) at five time points. A linear mixed-effects model with square root transformation was employed to investigate whether the CIPN20 scales varied by PSS level and time point.
Results:
Statistical analysis of the MSPSS total scale and subscales revealed a significant effect of the friends subscale group and time point on the CIPN20 sensory scale. The sensory scale score of CIPN20 was found to be lower in participants with high PSS from friends in comparison to those with low-to-moderate PSS at 1 month post-chemotherapy (p=0.010).
Conclusion
This is the first study to prospectively follow the long-term effect of pre-treatment PSS from friends on CIPN. Further studies based on larger samples are required to analyze the effects of PSS on the pathophysiology of CIPN.
9.Pre-Treatment Perceived Social Support Is Associated With Chemotherapy-Induced Peripheral Neuropathy in Patients With Breast Cancer: A Longitudinal Study
Joon Sung SHIN ; Sanghyup JUNG ; Geun Hui WON ; Sun Hyung LEE ; Jaehyun KIM ; Saim JUNG ; Chan-Woo YEOM ; Kwang-Min LEE ; Kyung-Lak SON ; Jang-il KIM ; Sook Young JEON ; Han-Byoel LEE ; Bong-Jin HAHM
Psychiatry Investigation 2025;22(4):424-434
Objective:
Previous studies have reported an association between cancer-related symptoms and perceived social support (PSS). The objective of this study was to analyze whether Chemotherapy-Induced Peripheral Neuropathy (CIPN), a prevalent side effect of chemotherapy, varies according to PSS level using a validated tool for CIPN at prospective follow-up.
Methods:
A total of 39 breast cancer patients were evaluated for PSS using the Multidimensional Scale of Perceived Social Support (MSPSS) prior to chemotherapy and were subsequently grouped into one of two categories for each subscale: low-to-moderate PSS and high PSS. CIPN was prospectively evaluated using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Chemotherapy-Induced Peripheral Neuropathy 20 (CIPN20) at five time points. A linear mixed-effects model with square root transformation was employed to investigate whether the CIPN20 scales varied by PSS level and time point.
Results:
Statistical analysis of the MSPSS total scale and subscales revealed a significant effect of the friends subscale group and time point on the CIPN20 sensory scale. The sensory scale score of CIPN20 was found to be lower in participants with high PSS from friends in comparison to those with low-to-moderate PSS at 1 month post-chemotherapy (p=0.010).
Conclusion
This is the first study to prospectively follow the long-term effect of pre-treatment PSS from friends on CIPN. Further studies based on larger samples are required to analyze the effects of PSS on the pathophysiology of CIPN.
10.2023 Clinical Practice Guidelines for Diabetes Management in Korea: Full Version Recommendation of the Korean Diabetes Association
Jun Sung MOON ; Shinae KANG ; Jong Han CHOI ; Kyung Ae LEE ; Joon Ho MOON ; Suk CHON ; Dae Jung KIM ; Hyun Jin KIM ; Ji A SEO ; Mee Kyoung KIM ; Jeong Hyun LIM ; Yoon Ju SONG ; Ye Seul YANG ; Jae Hyeon KIM ; You-Bin LEE ; Junghyun NOH ; Kyu Yeon HUR ; Jong Suk PARK ; Sang Youl RHEE ; Hae Jin KIM ; Hyun Min KIM ; Jung Hae KO ; Nam Hoon KIM ; Chong Hwa KIM ; Jeeyun AHN ; Tae Jung OH ; Soo-Kyung KIM ; Jaehyun KIM ; Eugene HAN ; Sang-Man JIN ; Jaehyun BAE ; Eonju JEON ; Ji Min KIM ; Seon Mee KANG ; Jung Hwan PARK ; Jae-Seung YUN ; Bong-Soo CHA ; Min Kyong MOON ; Byung-Wan LEE
Diabetes & Metabolism Journal 2024;48(4):546-708

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