Objectives: This study examined the association between oral health-related quality of life (OHRQoL), as assessed by the Geriatric Oral Health Assessment Index (GOHAI), and cardiovascular disease (CVD) outcomes among Korean older adults. Methods: Data from 5413 participants in the Korean Longitudinal Study of Aging were analyzed. GOHAI scores were categorized as either “poor” (<40) or “not poor” (≥40). Generalized estimating equation models were used to assess the relationship between GOHAI scores and CVD prevalence, with analyses stratified by sex. Results: Poor GOHAI score was significantly associated with elevated odds of CVD (odds ratio [OR], 1.13; 95% confidence interval [CI], 1.07 to 1.19; p<0.001). This association was stronger in female (OR, 1.36) compared to male (OR, 1.12). Poor oral health is indicative of systemic inflammation and age-related vulnerabilities, underscoring the utility of the GOHAI as an instrument for early identification of CVD risk. Conclusions Poor oral health, as measured by the GOHAI, is associated with an increased risk of CVD among older adults, especially female. These findings support the use of the GOHAI as a cost-effective screening tool for the early assessment of CVD risk. Further research is warranted to explore inflammatory biomarkers and sex-specific mechanisms that could inform targeted interventions.

Background: The stimulatory effects of caffeine contribute to poor sleep quality. However, the relationship between caffeinated beverages and sleep quality, considering frequency or types of caffeinated beverages, were not extensively studied. Methods: Data were collected from 160 urban workers (75 men [46.9%] aged 20–69 years; with an average age of 41.8±12.3 years) using a structured, self-administered online questionnaire. Sleep quality, time, satisfaction; types and frequency of caffeinated beverages (number of cups per week; Q1: 0 cup, Q4: 14 or more cups per week), demographics, and health behaviors were asked. Sleep quality were evaluated using the Korean version of the Pittsburgh Sleep Quality Index (PSQI-K). Multiple regression analysis was conducted on the association between the frequency of caffeinated beverages consumption and sleep quality. Results: The most frequently consumed beverages were unsweetened coffee (22.8%) and the most common time for caffeine was between 12 pm to 5 pm (58.2%). The average sleep quality score based on the PSQI-K was 6.0±2.0 overall, 5.3±1.6 in Q1, and 6.6±2.2 in Q4 (frequent caffeinated beverage drinkers), indicating poorer sleep quality in Q4 (P=0.022). In Q1, 13.3% rated their sleep quality as ‘very good,’ while in Q4, only 2.5% gave the same rating. Poor sleep quality was significantly associated with the frequency of caffeinated beverages per week (β=0.232, P=0.004) and self-reported stress level (β=0.256, P=0.002). Conclusions Frequent consumption of caffeinated beverages appears to be associated with poor sleep quality among urban workers. While reducing caffeine intake may contribute to improvements in sleep quality as a health promoting behavior, this hypothesis requires validation through future studies employing personalized intervention approaches.

Background: The stimulatory effects of caffeine contribute to poor sleep quality. However, the relationship between caffeinated beverages and sleep quality, considering frequency or types of caffeinated beverages, were not extensively studied. Methods: Data were collected from 160 urban workers (75 men [46.9%] aged 20–69 years; with an average age of 41.8±12.3 years) using a structured, self-administered online questionnaire. Sleep quality, time, satisfaction; types and frequency of caffeinated beverages (number of cups per week; Q1: 0 cup, Q4: 14 or more cups per week), demographics, and health behaviors were asked. Sleep quality were evaluated using the Korean version of the Pittsburgh Sleep Quality Index (PSQI-K). Multiple regression analysis was conducted on the association between the frequency of caffeinated beverages consumption and sleep quality. Results: The most frequently consumed beverages were unsweetened coffee (22.8%) and the most common time for caffeine was between 12 pm to 5 pm (58.2%). The average sleep quality score based on the PSQI-K was 6.0±2.0 overall, 5.3±1.6 in Q1, and 6.6±2.2 in Q4 (frequent caffeinated beverage drinkers), indicating poorer sleep quality in Q4 (P=0.022). In Q1, 13.3% rated their sleep quality as ‘very good,’ while in Q4, only 2.5% gave the same rating. Poor sleep quality was significantly associated with the frequency of caffeinated beverages per week (β=0.232, P=0.004) and self-reported stress level (β=0.256, P=0.002). Conclusions Frequent consumption of caffeinated beverages appears to be associated with poor sleep quality among urban workers. While reducing caffeine intake may contribute to improvements in sleep quality as a health promoting behavior, this hypothesis requires validation through future studies employing personalized intervention approaches.

Objectives: This study examined the association between oral health-related quality of life (OHRQoL), as assessed by the Geriatric Oral Health Assessment Index (GOHAI), and cardiovascular disease (CVD) outcomes among Korean older adults. Methods: Data from 5413 participants in the Korean Longitudinal Study of Aging were analyzed. GOHAI scores were categorized as either “poor” (<40) or “not poor” (≥40). Generalized estimating equation models were used to assess the relationship between GOHAI scores and CVD prevalence, with analyses stratified by sex. Results: Poor GOHAI score was significantly associated with elevated odds of CVD (odds ratio [OR], 1.13; 95% confidence interval [CI], 1.07 to 1.19; p<0.001). This association was stronger in female (OR, 1.36) compared to male (OR, 1.12). Poor oral health is indicative of systemic inflammation and age-related vulnerabilities, underscoring the utility of the GOHAI as an instrument for early identification of CVD risk. Conclusions Poor oral health, as measured by the GOHAI, is associated with an increased risk of CVD among older adults, especially female. These findings support the use of the GOHAI as a cost-effective screening tool for the early assessment of CVD risk. Further research is warranted to explore inflammatory biomarkers and sex-specific mechanisms that could inform targeted interventions.

Background: The stimulatory effects of caffeine contribute to poor sleep quality. However, the relationship between caffeinated beverages and sleep quality, considering frequency or types of caffeinated beverages, were not extensively studied. Methods: Data were collected from 160 urban workers (75 men [46.9%] aged 20–69 years; with an average age of 41.8±12.3 years) using a structured, self-administered online questionnaire. Sleep quality, time, satisfaction; types and frequency of caffeinated beverages (number of cups per week; Q1: 0 cup, Q4: 14 or more cups per week), demographics, and health behaviors were asked. Sleep quality were evaluated using the Korean version of the Pittsburgh Sleep Quality Index (PSQI-K). Multiple regression analysis was conducted on the association between the frequency of caffeinated beverages consumption and sleep quality. Results: The most frequently consumed beverages were unsweetened coffee (22.8%) and the most common time for caffeine was between 12 pm to 5 pm (58.2%). The average sleep quality score based on the PSQI-K was 6.0±2.0 overall, 5.3±1.6 in Q1, and 6.6±2.2 in Q4 (frequent caffeinated beverage drinkers), indicating poorer sleep quality in Q4 (P=0.022). In Q1, 13.3% rated their sleep quality as ‘very good,’ while in Q4, only 2.5% gave the same rating. Poor sleep quality was significantly associated with the frequency of caffeinated beverages per week (β=0.232, P=0.004) and self-reported stress level (β=0.256, P=0.002). Conclusions Frequent consumption of caffeinated beverages appears to be associated with poor sleep quality among urban workers. While reducing caffeine intake may contribute to improvements in sleep quality as a health promoting behavior, this hypothesis requires validation through future studies employing personalized intervention approaches.

Objectives: This study examined the association between oral health-related quality of life (OHRQoL), as assessed by the Geriatric Oral Health Assessment Index (GOHAI), and cardiovascular disease (CVD) outcomes among Korean older adults. Methods: Data from 5413 participants in the Korean Longitudinal Study of Aging were analyzed. GOHAI scores were categorized as either “poor” (<40) or “not poor” (≥40). Generalized estimating equation models were used to assess the relationship between GOHAI scores and CVD prevalence, with analyses stratified by sex. Results: Poor GOHAI score was significantly associated with elevated odds of CVD (odds ratio [OR], 1.13; 95% confidence interval [CI], 1.07 to 1.19; p<0.001). This association was stronger in female (OR, 1.36) compared to male (OR, 1.12). Poor oral health is indicative of systemic inflammation and age-related vulnerabilities, underscoring the utility of the GOHAI as an instrument for early identification of CVD risk. Conclusions Poor oral health, as measured by the GOHAI, is associated with an increased risk of CVD among older adults, especially female. These findings support the use of the GOHAI as a cost-effective screening tool for the early assessment of CVD risk. Further research is warranted to explore inflammatory biomarkers and sex-specific mechanisms that could inform targeted interventions.

Background: The stimulatory effects of caffeine contribute to poor sleep quality. However, the relationship between caffeinated beverages and sleep quality, considering frequency or types of caffeinated beverages, were not extensively studied. Methods: Data were collected from 160 urban workers (75 men [46.9%] aged 20–69 years; with an average age of 41.8±12.3 years) using a structured, self-administered online questionnaire. Sleep quality, time, satisfaction; types and frequency of caffeinated beverages (number of cups per week; Q1: 0 cup, Q4: 14 or more cups per week), demographics, and health behaviors were asked. Sleep quality were evaluated using the Korean version of the Pittsburgh Sleep Quality Index (PSQI-K). Multiple regression analysis was conducted on the association between the frequency of caffeinated beverages consumption and sleep quality. Results: The most frequently consumed beverages were unsweetened coffee (22.8%) and the most common time for caffeine was between 12 pm to 5 pm (58.2%). The average sleep quality score based on the PSQI-K was 6.0±2.0 overall, 5.3±1.6 in Q1, and 6.6±2.2 in Q4 (frequent caffeinated beverage drinkers), indicating poorer sleep quality in Q4 (P=0.022). In Q1, 13.3% rated their sleep quality as ‘very good,’ while in Q4, only 2.5% gave the same rating. Poor sleep quality was significantly associated with the frequency of caffeinated beverages per week (β=0.232, P=0.004) and self-reported stress level (β=0.256, P=0.002). Conclusions Frequent consumption of caffeinated beverages appears to be associated with poor sleep quality among urban workers. While reducing caffeine intake may contribute to improvements in sleep quality as a health promoting behavior, this hypothesis requires validation through future studies employing personalized intervention approaches.

Enterococcus hirae (E. hirae) infection is an uncommon pathogen in human infections. Bacteremia due to E. hirae associated with urinary tract infection is uncommon. We present a case of E. hirae bacteremia in a young woman with no underlying comorbidities. This case report emphasizes the importance of considering E. hirae as a potential pathogen in urinary tract infections.

Background: Solid-organ transplant recipients (SOTRs) receiving immunosuppressive therapy are expected to have worse clinical outcomes from coronavirus disease 2019 (COVID-19). However, published studies have shown mixed results, depending on adjustment for important confounders such as age, variants, and vaccination status. Materials and Methods: We retrospectively collected the data on 7,327 patients hospitalized with COVID-19 from two tertiary hospitals with government-designated COVID-19 regional centers. We compared clinical outcomes between SOTRs and non-SOTRs by a propensity score-matched analysis (1:2) based on age, gender, and the date of COVID-19 diagnosis. We also performed a multivariate logistic regression analysis to adjust other important confounders such as vaccination status and the Charlson comorbidity index. Results: After matching, SOTRs (n=83) had a significantly higher risk of high-flow nasal cannula use, mechanical ventilation, acute kidney injury, and a composite of COVID-19 severity outcomes than non-SOTRs (n=160) (all P <0.05). The National Early Warning Score was significantly higher in SOTRs than in non-SOTRs from day 1 to 7 of hospitalization ( P for interaction=0.008 by generalized estimating equation). In multivariate logistic regression analysis, SOTRs (odds ratio [OR], 2.14; 95% confidence interval [CI], 1.12–4.11) and male gender (OR, 2.62; 95% CI, 1.26– 5.45) were associated with worse outcomes, and receiving two to three doses of COVID-19 vaccine (OR, 0.43; 95% CI, 0.24–0.79) was associated with better outcomes. Conclusion Hospitalized SOTRs with COVID-19 had a worse prognosis than non-SOTRs. COVID-19 vaccination should be implemented appropriately to prevent severe COVID-19 progression in this population.

Airway management is a fundamental and complex process that involves a sequence of integrated tasks. Situations requiring emergency airway management may occur in the emergency department, intensive care units, and various other clinical spaces. A variety of challenges can arise during emergency airway preparation, intubation, and postintubation, which may result in significant complications for patients. Therefore, many countries are establishing step-by-step systemization and detailed guidelines and/or updating their content based on the latest research. This clinical review introduces the current trends in emergency airway management, such as emergency airway management algorithms, comparison of video and direct laryngoscopy, rapid sequence intubation, pediatric airway management, prehospital airway management, surgical airway management, and airway management education.