Ramucirumab is a vascular endothelial growth factor (VEGF) receptor-2 inhibiting monoclonal antibody for the treatment of gastric cancer, non-small cell lung cancer, colorectal cancer, and hepatocellular carcinoma. Some VEGF inhibitors are known to increase the risk of ischemic stroke; however, their association with ramucirumab remains controversial. To the best of our knowledge, only two cases of ischemic stroke following ramucirumab treatment have been reported worldwide. We herein present the first case of acute cerebral infarction secondary to ramucirumab in Korea.

Background: Coronavirus Disease 2019 (COVID-19) is a novel coronavirus identified in 2019 that exhibited an exceptionally rapid spread. Although the development and administration of COVID-19 vaccines progressed quickly, concerns about side effects and safety persisted. This study utilized data from the 2021 Community Health Survey to analyze the relationship between COVID-19 vaccination and psychosocial factors, including depression and subjective health status. Methods: Analysis included 203,449 individuals, excluding those who had not received or were ineligible for the COVID-19 vaccine, based on the 2021 Community Health Survey. The chi-square tests assessed sociodemographic and health status differences related to vaccination status. Subjective health status was categorized based on survey responses as ‘good’ or ‘poor,’ and depression was assessed using the self-reported Patient Health Questionnaire-9. The association between depression, subjective health status, and vaccination status was examined using chi-square tests, followed by multiple logistic regression to determine independent effects. Results: Vaccination rates were higher among the elderly, those with lower education, higher income, healthcare workers, and individuals with lower depression, higher subjective health, and chronic conditions like hypertension or diabetes. Significantly lower vaccination rates were observed in those with lower subjective health and Patient Health Questionnaire-9 scores ≥5 or ≥10. Among individuals with chronic illnesses, those with good subjective health had the lowest odds for non-vaccination (odds ratio=0.42; 95% confidence interval, 0.39-0.45), while those without chronic illnesses and poor subjective health had the highest odds (odds ratio=1.89; 95% confidence interval, 1.76-2.02). Conclusions This study found significantly higher odds ratios for vaccine non-receipt among individuals with lower levels of depression and subjective health status. Incorporating psychosocial factors such as depression and subjective health status may be crucial in developing strategies to enhance vaccination rates during future outbreaks of novel infectious diseases.

Background: Lung cancer has a high incidence and mortality worldwide, and smoking, age, sex, and body mass index are known risk factors. Using a health examination cohort, we constructed a comprehensive lung cancer risk-prediction model. Methods: This study comprised 308,804 adults aged 20 years and older who underwent health examinations at one general hospital in Korea, from 2011 to 2018. We developed a lung cancer risk prediction model using a multivariate Cox proportional hazards regression analysis for lung cancer risk factors and estimated the hazard ratios and coefficients. The model evaluation included discrimination and calibration assessments. Results: Among the 308,804 adults in the study cohort, there were 338 (0.11%) patients lung cancer, with 215 males (0.07% of 169,420 males) and 123 females (0.04% of 139,384 females). The prevalence of lung cancer was higher in males and females aged over 60 years. Age, sex, body mass index, and smoking behavior were identified as risk factors for lung cancer prevalence in this model through multivariate Cox proportional hazards analysis. The C-statistic of the development cohort was 0.785 (0.749, 0.821) and that of the validation cohort was 0.823 (0.769, 0.878). Conclusion Our lung cancer risk prediction model showed statistical significance, similar to previous prediction models, among variables that included young age, female sex, and body mass index. Future improvements should focus on population-wide applicability and associated health examination policies.

Background: The study aim was to investigate the level of restrictions on daily life and concern about economic damage caused by the coronavirus disease 2019 (COVID-19) pandemic and analyze the effects on daily life satisfaction. Methods: 2021 Community Health Survey data of 229,242 individuals were analyzed. Such factors as restrictions on daily life, changes in physical activity and instant food consumption and concern about economic damage were selected as variables for analysis, as they were presumed to impact daily life satisfaction during the COVID-19 pandemic. Results: The odds ratio for poor daily life satisfaction was 1.88 (95% confidence interval [CI], 1.83–1.94) for those who experienced moderate restrictions and 3.48 (95% CI, 3.31–3.65) for those who experienced severe restrictions, compared to those who had no restrictions in daily life. The group with reduced physical activity had an odds ratio of 1.29 (95% CI, 1.26–1.33) for poor daily life satisfaction compared to the group with no change. The group with increased consumption of instant foods had an odds ratio of 1.23 (95% CI, 1.18–1.28) for poor daily life satisfaction compared to the group without such an increase. Regarding the economic damage caused by the COVID-19 pandemic, the odds ratio for experiencing negative daily life satisfaction was 1.17 (95% CI, 1.10–1.24) for those with moderate concern and 1.43 (95% CI, 1.37–1.50) for those with severe concern, compared to those who were not worried. Conclusion The results of this study could be helpful in planning public health and medical policies for population groups that are relatively vulnerable to decreased daily life satisfaction.

Background: Lung cancer has a high incidence and mortality worldwide, and smoking, age, sex, and body mass index are known risk factors. Using a health examination cohort, we constructed a comprehensive lung cancer risk-prediction model. Methods: This study comprised 308,804 adults aged 20 years and older who underwent health examinations at one general hospital in Korea, from 2011 to 2018. We developed a lung cancer risk prediction model using a multivariate Cox proportional hazards regression analysis for lung cancer risk factors and estimated the hazard ratios and coefficients. The model evaluation included discrimination and calibration assessments. Results: Among the 308,804 adults in the study cohort, there were 338 (0.11%) patients lung cancer, with 215 males (0.07% of 169,420 males) and 123 females (0.04% of 139,384 females). The prevalence of lung cancer was higher in males and females aged over 60 years. Age, sex, body mass index, and smoking behavior were identified as risk factors for lung cancer prevalence in this model through multivariate Cox proportional hazards analysis. The C-statistic of the development cohort was 0.785 (0.749, 0.821) and that of the validation cohort was 0.823 (0.769, 0.878). Conclusion Our lung cancer risk prediction model showed statistical significance, similar to previous prediction models, among variables that included young age, female sex, and body mass index. Future improvements should focus on population-wide applicability and associated health examination policies.

Background: The study aim was to investigate the level of restrictions on daily life and concern about economic damage caused by the coronavirus disease 2019 (COVID-19) pandemic and analyze the effects on daily life satisfaction. Methods: 2021 Community Health Survey data of 229,242 individuals were analyzed. Such factors as restrictions on daily life, changes in physical activity and instant food consumption and concern about economic damage were selected as variables for analysis, as they were presumed to impact daily life satisfaction during the COVID-19 pandemic. Results: The odds ratio for poor daily life satisfaction was 1.88 (95% confidence interval [CI], 1.83–1.94) for those who experienced moderate restrictions and 3.48 (95% CI, 3.31–3.65) for those who experienced severe restrictions, compared to those who had no restrictions in daily life. The group with reduced physical activity had an odds ratio of 1.29 (95% CI, 1.26–1.33) for poor daily life satisfaction compared to the group with no change. The group with increased consumption of instant foods had an odds ratio of 1.23 (95% CI, 1.18–1.28) for poor daily life satisfaction compared to the group without such an increase. Regarding the economic damage caused by the COVID-19 pandemic, the odds ratio for experiencing negative daily life satisfaction was 1.17 (95% CI, 1.10–1.24) for those with moderate concern and 1.43 (95% CI, 1.37–1.50) for those with severe concern, compared to those who were not worried. Conclusion The results of this study could be helpful in planning public health and medical policies for population groups that are relatively vulnerable to decreased daily life satisfaction.

Background: Lung cancer has a high incidence and mortality worldwide, and smoking, age, sex, and body mass index are known risk factors. Using a health examination cohort, we constructed a comprehensive lung cancer risk-prediction model. Methods: This study comprised 308,804 adults aged 20 years and older who underwent health examinations at one general hospital in Korea, from 2011 to 2018. We developed a lung cancer risk prediction model using a multivariate Cox proportional hazards regression analysis for lung cancer risk factors and estimated the hazard ratios and coefficients. The model evaluation included discrimination and calibration assessments. Results: Among the 308,804 adults in the study cohort, there were 338 (0.11%) patients lung cancer, with 215 males (0.07% of 169,420 males) and 123 females (0.04% of 139,384 females). The prevalence of lung cancer was higher in males and females aged over 60 years. Age, sex, body mass index, and smoking behavior were identified as risk factors for lung cancer prevalence in this model through multivariate Cox proportional hazards analysis. The C-statistic of the development cohort was 0.785 (0.749, 0.821) and that of the validation cohort was 0.823 (0.769, 0.878). Conclusion Our lung cancer risk prediction model showed statistical significance, similar to previous prediction models, among variables that included young age, female sex, and body mass index. Future improvements should focus on population-wide applicability and associated health examination policies.

Background: The study aim was to investigate the level of restrictions on daily life and concern about economic damage caused by the coronavirus disease 2019 (COVID-19) pandemic and analyze the effects on daily life satisfaction. Methods: 2021 Community Health Survey data of 229,242 individuals were analyzed. Such factors as restrictions on daily life, changes in physical activity and instant food consumption and concern about economic damage were selected as variables for analysis, as they were presumed to impact daily life satisfaction during the COVID-19 pandemic. Results: The odds ratio for poor daily life satisfaction was 1.88 (95% confidence interval [CI], 1.83–1.94) for those who experienced moderate restrictions and 3.48 (95% CI, 3.31–3.65) for those who experienced severe restrictions, compared to those who had no restrictions in daily life. The group with reduced physical activity had an odds ratio of 1.29 (95% CI, 1.26–1.33) for poor daily life satisfaction compared to the group with no change. The group with increased consumption of instant foods had an odds ratio of 1.23 (95% CI, 1.18–1.28) for poor daily life satisfaction compared to the group without such an increase. Regarding the economic damage caused by the COVID-19 pandemic, the odds ratio for experiencing negative daily life satisfaction was 1.17 (95% CI, 1.10–1.24) for those with moderate concern and 1.43 (95% CI, 1.37–1.50) for those with severe concern, compared to those who were not worried. Conclusion The results of this study could be helpful in planning public health and medical policies for population groups that are relatively vulnerable to decreased daily life satisfaction.

Background: Lung cancer has a high incidence and mortality worldwide, and smoking, age, sex, and body mass index are known risk factors. Using a health examination cohort, we constructed a comprehensive lung cancer risk-prediction model. Methods: This study comprised 308,804 adults aged 20 years and older who underwent health examinations at one general hospital in Korea, from 2011 to 2018. We developed a lung cancer risk prediction model using a multivariate Cox proportional hazards regression analysis for lung cancer risk factors and estimated the hazard ratios and coefficients. The model evaluation included discrimination and calibration assessments. Results: Among the 308,804 adults in the study cohort, there were 338 (0.11%) patients lung cancer, with 215 males (0.07% of 169,420 males) and 123 females (0.04% of 139,384 females). The prevalence of lung cancer was higher in males and females aged over 60 years. Age, sex, body mass index, and smoking behavior were identified as risk factors for lung cancer prevalence in this model through multivariate Cox proportional hazards analysis. The C-statistic of the development cohort was 0.785 (0.749, 0.821) and that of the validation cohort was 0.823 (0.769, 0.878). Conclusion Our lung cancer risk prediction model showed statistical significance, similar to previous prediction models, among variables that included young age, female sex, and body mass index. Future improvements should focus on population-wide applicability and associated health examination policies.

Background: The study aim was to investigate the level of restrictions on daily life and concern about economic damage caused by the coronavirus disease 2019 (COVID-19) pandemic and analyze the effects on daily life satisfaction. Methods: 2021 Community Health Survey data of 229,242 individuals were analyzed. Such factors as restrictions on daily life, changes in physical activity and instant food consumption and concern about economic damage were selected as variables for analysis, as they were presumed to impact daily life satisfaction during the COVID-19 pandemic. Results: The odds ratio for poor daily life satisfaction was 1.88 (95% confidence interval [CI], 1.83–1.94) for those who experienced moderate restrictions and 3.48 (95% CI, 3.31–3.65) for those who experienced severe restrictions, compared to those who had no restrictions in daily life. The group with reduced physical activity had an odds ratio of 1.29 (95% CI, 1.26–1.33) for poor daily life satisfaction compared to the group with no change. The group with increased consumption of instant foods had an odds ratio of 1.23 (95% CI, 1.18–1.28) for poor daily life satisfaction compared to the group without such an increase. Regarding the economic damage caused by the COVID-19 pandemic, the odds ratio for experiencing negative daily life satisfaction was 1.17 (95% CI, 1.10–1.24) for those with moderate concern and 1.43 (95% CI, 1.37–1.50) for those with severe concern, compared to those who were not worried. Conclusion The results of this study could be helpful in planning public health and medical policies for population groups that are relatively vulnerable to decreased daily life satisfaction.