Purpose: This study evaluates the Korean Cancer Study Group Geriatric Score-7 (KG-7) frailty screening tool’s effectiveness in elderly multiple myeloma (MM) patients to prevent under and overtreatment. Materials and Methods: This prospective pilot cohort study included 100 elderly patients aged 70 and older with newly diagnosed MM who had not undergone transplantation from August 2020 to January 2022. Results: The median age was 77 years, and 73.0% of patients were classified at International Staging System stages 2 or 3. Using a 5-point cutoff on the KG-7 index (non-frail, score ≥ 5; frail, score < 5), 31% were categorized as frail. After a median follow-up of 26.8 months, the 3-year overall survival rate was 73.0%. There was no statistically significant association between any frailty index and the risk of death. However, frail patients defined by the simplified frailty index (hazard ratio [HR], 2.49; 95% confidence interval [CI], 1.09 to 5.95; p=0.030) and by KG-7 (HR, 2.43; 95% CI, 1.03 to 5.86; p=0.043) had a significantly higher risk of grade 3-4 non-hematologic toxicity, whereas the International Myeloma Working Group definition did not. Over a 24-month tracking period, vulnerability as measured by KG-7 either improved or deteriorated. Conclusion The pilot study, which had a limited number of participants, did not demonstrate KG-7’s effectiveness in predicting survival; however, it successfully predicted severe non-hematologic toxicities. We plan to conduct larger studies in elderly MM patients to determine whether KG-7 can help tailor their treatment regimens.

Purpose: High-cost novel therapies for multiple myeloma (MM) require evaluation of efficacy and cost-effectiveness. Materials and Methods: This study developed a methodology to assess cost-effectiveness using nationwide data from 11,450 newly diagnosed MM patients. A novel algorithm was applied to identify lines of therapy (LoT). Results: The number of newly diagnosed MM patients increased significantly, from 873 in 2010 to 1,464 in 2019 (p < 0.001). Advancing LoT was associated with shorter time to next treatment (TTNT) and overall survival (OS) (p < 0.001), while all-cause medical costs increased with each LoT (p < 0.001). Bortezomib-melphalan-prednisolone was the most common frontline regimen for transplant-ineligible patients (29.2%), while bortezomib-thalidomide-dexamethasone was most used for transplant-eligible patients (11.3%). Daratumumab monotherapy demonstrated superior second TTNT (7.8 vs. 5.2 months) and OS (8.5 vs. 5.3 months) compared to standard care in heavily treated MM patients, with statistical significance maintained after cost adjustment. For subsequent therapies following daratumumab, a methodology was developed to estimate required medical costs using the incremental cost-effectiveness ratio (ICER): Expected cost ($)=ICER×(Expected life expectancy–0.567)+35,601. Conclusion This study provides a novel cost-effectiveness framework linking treatment efficacy and real-world costs, supporting predictions of societal costs for future MM therapies.

The COVID-19 pandemic has adversely affected the mental health of the global population. This study aimed to assess the acute and persistent symptoms of depression, as well as factors related to their manifestation, through a longitudinal study design. A total of 1,492 community-dwelling adults from an online public panel across three regions were evaluated at baseline, with 908 adults (60.9%) followed up after six months. Depression symptoms were evaluated using Patient Health Questionnaire-9 (PHQ-9). Participants also completed self-administered questionnaires on sociodemographic information, psychosocial experiences related to COVID-19, the UCLA Loneliness Scale, and the Korean version of the Gratitude Questionnaire (K-GQ-6).The prevalence of acute and persistent depression symptoms was 8.4% and 12.0%, respectively. Multivariate logistic regression analysis identified changes in predictors of depression over time, with younger age and self-isolation experience found to be associated with acute depression. Factors such as underlying mental illness, eating and sleeping disturbances, loneliness, and COVID-19-related stress emerged as significant risk factors for persistent depression. A disposition toward gratitude was identified as a protective factor for persistent depressive symptoms. These findings suggest that during any long-term pandemic crisis such as COVID-19, timely support and attention are essential for vulnerable populations, including young people and individuals with mental health conditions, to prevent depression. Specifically, promoting daily routines such as regular eating and sleeping patterns, and managing COVID-19-related stress may be critical in preventing persistent depression. Additionally, psychological support that reduces loneliness and fosters gratitude may help mitigate depression risk.

Objectives: This study aimed to investigate the impact of behavioral and psychological symptoms (BPS), assessed by the neuropsychiatric inventory (NPI) total score, on instrumental activities of daily living (IADL) performance in patients with mild cognitive impairment. Methods: Ninety-two patients diagnosed with mild cognitive impairment who visited a university hospital dementia clinic were recruited. Assessments included the Korean version-Mini Mental State Examination, NPI, Korean-IADL (KIADL), and Short Form of Geriatric Depression Scale-Korean version. Correlation and hierarchical multiple regression analyses were performed to analyze the relationship between BPS and IADL. Results: The mean age of participants was 74.61±5.86 years. K-IADL scores significantly correlated with age (r=0.347, p<0.001) and NPI total score (r=0.265, p<0.05). Hierarchical regression analysis showed that the addition of the NPI total score significantly increased the explained variance of functional decline (R 2 =0.197, F=5.332, p<0.001), with age (β=0.354, p<0.001) and NPI total score (β=0.248, p<0.05) identified as independent predictors in patients with mild cognitive impairment. Conclusions The overall severity of BPS exerts a detrimental effect on IADL function in mild cognitive impairment patients, independent of age and cognitive status. These results underscore the clinical importance of evaluating the cumulative burden of BPS to predict functional prognosis and implement early interventions.

Objective: The coronavirus disease 2019 (COVID-19) pandemic disrupted healthcare systems worldwide, leading to increased mortality rates across various conditions. This study assessed the impact of COVID-19 on excess in-hospital mortality among emergency department patients and examined variations by community income levels, thereby highlighting socioeconomic disparities. Methods: This retrospective cross-sectional study used data from the National Emergency Department Information System in Korea. Cancer patients who visited emergency departments between January 27 and December 31 in 2019 (pre-COVID) and 2020 (during COVID) were included. The primary outcome was in-hospital mortality. The main exposure was the COVID-19 outbreak, with county per capita income tax serving as the interaction variable. The risk-adjusted in-hospital mortality rates were calculated. A multilevel linear regression model with an interaction term was used to estimate the difference-in-difference between the periods based on county income tax. Results: A total of 206,400 cancer patients were included 110,879 pre-COVID and 95,521 during COVID with an unadjusted in-hospital mortality rate of 1.0%. The risk-adjusted mortality rate was significantly higher during COVID than pre-COVID (1.2% vs. 0.9%, P<0.01). Using the highest socioeconomic status group (Q1) as the reference, the excess inhospital mortality odds during COVID were higher in Q3 (adjusted odds ratio [aOR], 1.32; 95% confidence interval [CI], 1.17-1.54) and Q4 (aOR, 1.43; 95% CI, 1.15-1.77). Conclusion The COVID-19 pandemic exacerbated in-hospital mortality disparities among cancer patients, imposing a greater burden on lower socioeconomic groups. These findings highlight the importance of implementing equitable healthcare strategies to protect vulnerable populations during health emergencies.

Background and Objectives: Patients with voice disorders often face difficulties in managing their vocal health in daily life, highlighting the need for voice management and hygiene education without temporal or spatial limitations. This study aimed to evaluate the usability of a smartphone-based voice hygiene application developed for patients with voice disorders.Materials and Method Thirty patients diagnosed with voice disorders who underwent voice therapy participated in the study. After using the voice hygiene application for 4 weeks, participants completed a usability questionnaire composed of ten items across five key categories: aesthetics, functionality, engagement, usability, and reliability (two items per category). Results: The overall usability score of the voice hygiene application was 3.94 out of 5. The highest ratings were observed in aesthetic design and convenience. Engagement was positively influenced by the app’s reminder feature, and satisfaction regarding information reliability and system functionality was also generally high. Conclusion The voice hygiene application was found to be a useful tool for supporting self-management and maintaining vocal hygiene among patients with voice disorders through unrestricted accessibility. This study suggests that such applications can promote consistent voice hygiene practices and contribute to the improvement of vocal health.

Objective: We investigated the distribution of AI viruses in fecal samples from wild bird habitats (and nearby poultry-farm areas) surveyed between September and March from 2019 to 2025 and identified associated epidemiological risk factors. Methods: Samples were screened for influenza A (M, H5, H7) genes using real-time reverse transcription polymerase chain reaction (PCR), subjected to virus isolation in embryonated chicken eggs, and subtyped by PCR and sequencing. Host species were identified through DNA barcoding. Relative risks (RRs) with 95% confidence intervals were estimated for province, month, and waterfowl density. Results: Overall prevalence of HPAI and low pathogenic AI (LPAI) virus was 0.10% and 3.21%, respectively. HPAI virus was continuously isolated since 2020–2021, except 2019– 2020, while LPAI prevalence steadily increased (3.01%–4.35%). Twelve hemagglutinin (H1–H12) subtypes were identified in 1,722 isolates, and H3 (16.5%) was the most prevalent, followed by H5 (11.1%) and H7 (5.2%). LPAI H5N3 (55.7%) and H7N7 (75.5%) were the predominant H5 and H7 subtypes, respectively. Detection was higher in western coastal provinces, and higher mallard/spot-billed duck density and sampling in September– December were associated with increased risk. Conclusions and Relevance: Continued surveillance of migratory-bird habitats can provide early warning of HPAIV incursions and support targeted biosecurity measures in high-risk regions and seasons.

Alterations in gait patterns often indicate health status, and their analysis enables the diagnosis and assessment of various health conditions. This study aimed to develop a noncontact gait analysis system using red, green, and blue-depth (RGB-D) cameras and to evaluate its potential clinical applicability. A single case study was conducted to assess changes in the gait patterns of a patient with stroke before and after the application of an ankle-foot orthosis. Twenty walking trials were recorded to evaluate the key gait parameters. The custom RGB-D camera-based gait analysis system demonstrated the potential to rapidly quantify key gait parameters in the patient. Compared with normative data, it effectively identified characteristic stroke-related gait impairments such as shorter step lengths and slower gait speeds. However, the intraclass correlation coefficient analysis indicated low measurement reliability. Although the stance time and minimum knee angle on the left and right sides exceeded the standard error of measurement (SEM), no changes exceeded the minimal detectable change (MDC) criteria. Moreover, other gait parameters did not show significant changes beyond SEM or MDC, limiting the interpretability of the results. Therefore, further technological developments and data collection are required to improve test-retest reliability and sensitivity to change.

Background: With the aging population and advancements in medical care worldwide, the number of older patients with end-stage kidney disease continues to rise. This study aimed to identify factors associated with osteoporosis and osteopenia in older patients undergoing incident hemodialysis and assess their impact on mortality. Methods: We analyzed a large multicenter retrospective cohort of patients aged ≥70 years undergoing incident hemodialysis to identify factors associated with osteoporosis using logistic regression analysis and to assess the association of death with osteoporosis and osteopenia using Cox multivariable analysis. Results: Among 710 patients, 39.0% and 19.6% had osteoporosis and osteopenia, respectively. Osteoporosis was significantly associated with female sex, a history of fractures, and the absence of phosphate binder use. During a median follow-up of 36.8 months, 348 participants (58.8%) died. Mortality rates were the highest in the osteoporosis group (79.8%), followed by the osteopenia (77.2%) and normal bone mineral density (BMD) groups (35.2%). Cox regression analysis revealed that even after adjusting for covariates, the osteoporosis group was significantly associated with a higher mortality risk than the normal BMD group. Osteoporosis at the start of hemodialysis was significantly associated with higher mortality. Conclusion We should consider the importance of bone health in patients undergoing incident hemodialysis and pay attention to the use of phosphate binders and fracture prevention.