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.

Background: Improving β-cell function can lead to remission in some patients with type 2 diabetes mellitus (T2DM). However, research on pharmacotherapy-induced remission in youth-onset T2DM remains scarce. Our study aimed to identify the clinical characteristics of pediatric patients who experience remission. Methods: We retrospectively reviewed 88 pediatric patients with T2DM followed for at least 1 year at Seoul National University Bundang Hospital between 2013 and 2023. Remission was defined as a glycosylated hemoglobin (HbA1c) level less than 6.5% for at least 3 months after ceasing glucose-lowering pharmacotherapy. Results: Among 88 patients (60 males, 68.2%) diagnosed at an average age of 14.4±2.1 years, 19 patients (21.6%) achieved remission after a median duration of 1.4 years. The remission group had a larger proportion of males (89.5% vs. 62.3%, P=0.024) and a lower urinary albumin-to-creatinine ratio (ACR) at diagnosis (P=0.011). They also showed lower HbA1c levels at 1 year and more significant changes in HbA1c and body mass index (all P<0.05). Higher urinary ACR levels correlated with a longer duration to achieve remission (hazard ratio, 0.928; P= 0.013). In three of the 19 remission patients (15.8%), recurrence occurred after a median of 1.5 years. Conclusion Among Korean youth with T2DM, 21.6% achieved remission after a median duration of 1.4 years.Those who experienced remission were predominantly male, had lower ACR at diagnosis, and had significant weight loss within the first year. Further investigation into the factors influencing remission and long-term outcomes is essential.

Purpose: There are limited data regarding changes in glucose control in pediatric patients with type 1 diabetes (T1D) affected by coronavirus disease 2019 (COVID-19). This study aimed to evaluate changes in the metrics of a continuous glucose monitoring (CGM) system during COVID-19 infection in children and adolescents with T1D. Methods: Eighteen patients with T1D (<18 years of age) were included in this retrospective study. The effects of COVID-19 on CGM metrics were assessed at 5 time points (2 weeks before COVID-19 [time 1], 1 week before COVID-19 [time 2], during COVID-19 [time 3], 1 week after COVID-19 [time 4], and 2 weeks after COVID-19 [time 5]). Results: All participants had at least 1 symptom of COVID-19 and did not need to be hospitalized. The glucose management indicator (GMI) was higher at time 3 (7.7%±1.4%) compared to time 1 (7.1%±1.1%; P=0.016) and time 5 (7.0%±1.2%; P=0.008). According to the insulin delivery method, the GMI at time 3 was significantly higher than that at time 5 in patients treated with multiple daily injections (MDI) (median and interquartile range, 8.0% [6.1%–8.5%] vs. 7.1% [5.8%–7.9%]; P=0.020) but not in those treated with continuous subcutaneous insulin infusion (CSII). Conclusion Pediatric patients with T1D and mild COVID-19 showed worsening glycemic control during COVID-19 infection, but it returned to preinfection levels within 2 weeks of infection. CSII is more effective in maintaining stable glycemic control during COVID-19 infection than is MDI therapy.

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.

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.

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.

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.

Purpose: There are limited data regarding changes in glucose control in pediatric patients with type 1 diabetes (T1D) affected by coronavirus disease 2019 (COVID-19). This study aimed to evaluate changes in the metrics of a continuous glucose monitoring (CGM) system during COVID-19 infection in children and adolescents with T1D. Methods: Eighteen patients with T1D (<18 years of age) were included in this retrospective study. The effects of COVID-19 on CGM metrics were assessed at 5 time points (2 weeks before COVID-19 [time 1], 1 week before COVID-19 [time 2], during COVID-19 [time 3], 1 week after COVID-19 [time 4], and 2 weeks after COVID-19 [time 5]). Results: All participants had at least 1 symptom of COVID-19 and did not need to be hospitalized. The glucose management indicator (GMI) was higher at time 3 (7.7%±1.4%) compared to time 1 (7.1%±1.1%; P=0.016) and time 5 (7.0%±1.2%; P=0.008). According to the insulin delivery method, the GMI at time 3 was significantly higher than that at time 5 in patients treated with multiple daily injections (MDI) (median and interquartile range, 8.0% [6.1%–8.5%] vs. 7.1% [5.8%–7.9%]; P=0.020) but not in those treated with continuous subcutaneous insulin infusion (CSII). Conclusion Pediatric patients with T1D and mild COVID-19 showed worsening glycemic control during COVID-19 infection, but it returned to preinfection levels within 2 weeks of infection. CSII is more effective in maintaining stable glycemic control during COVID-19 infection than is MDI therapy.

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.

Background: Improving β-cell function can lead to remission in some patients with type 2 diabetes mellitus (T2DM). However, research on pharmacotherapy-induced remission in youth-onset T2DM remains scarce. Our study aimed to identify the clinical characteristics of pediatric patients who experience remission. Methods: We retrospectively reviewed 88 pediatric patients with T2DM followed for at least 1 year at Seoul National University Bundang Hospital between 2013 and 2023. Remission was defined as a glycosylated hemoglobin (HbA1c) level less than 6.5% for at least 3 months after ceasing glucose-lowering pharmacotherapy. Results: Among 88 patients (60 males, 68.2%) diagnosed at an average age of 14.4±2.1 years, 19 patients (21.6%) achieved remission after a median duration of 1.4 years. The remission group had a larger proportion of males (89.5% vs. 62.3%, P=0.024) and a lower urinary albumin-to-creatinine ratio (ACR) at diagnosis (P=0.011). They also showed lower HbA1c levels at 1 year and more significant changes in HbA1c and body mass index (all P<0.05). Higher urinary ACR levels correlated with a longer duration to achieve remission (hazard ratio, 0.928; P= 0.013). In three of the 19 remission patients (15.8%), recurrence occurred after a median of 1.5 years. Conclusion Among Korean youth with T2DM, 21.6% achieved remission after a median duration of 1.4 years.Those who experienced remission were predominantly male, had lower ACR at diagnosis, and had significant weight loss within the first year. Further investigation into the factors influencing remission and long-term outcomes is essential.