Purpose: The purpose of this study was to evaluate the prevalence of frailty among an older adult population living in rural communities and to determine if frailty is associated with nutritional status after adjusting for sarcopenia and depression. Materials and Methods: This research used baseline data from the Namgaram-2 study. Frailty was evaluated using the Kaigo-Yobo checklist in an older Korean population. The nutritional statuses of older people were measured using the Korean version of the mini nutritional assessment (MNA). The recent criteria of the Asian Working Group for Sarcopenia were applied for diagnosis of sarcopenia, and depression was assessed using the Geriatric Depression Scale-Short Form. Results: The prevalence of frailty was 18.8% (male: 9.6%; female: 23.4%) and was significantly higher in individuals in their 80s [male, 35.3% (p<0.001); female, 42.3% (p<0.001)], those of poor economic status [male, 18.2% (p=0.012); female, 34.9% (p<0.001)], those with hypertension [female, 27.7% (p=0.008)], those with sarcopenia [male, 34.1% (p<0.001); female, 37.2% (p<0.001)], those with depression [male, 46.4% (p<0.001); female, 51.7% (p<0.001)], and those at high risk of malnutrition [male, 44.4% (p<0.001); female, 51.7% (p<0.001)]. After adjusting for demographic variables, including hypertension, diabetes, sarcopenia and depression, frailty was significantly associated with nutritional status [male: odds ratio (OR)=6.73, 95% confidence interval (CI), 1.84–24.65; female: OR=4.83, 95% CI, 2.88–8.11]. Conclusion For older adults, MNA is a suitable tool of use in assessing both nutritional status and frailty. Moreover, the nutritional status of older adults appears to be associated with frailty, even after corrections for physical and psychological function.

Background/Aims: Frailty increases the risks of in-hospital adverse events such as delirium, falls, and functional decline in older adults. We assessed the feasibility and clinical relevance of frailty status in Korean older inpatients using the Clinical Frailty Scale (CFS) and Korean version of the Fatigue, Resistance, Ambulation, Illnesses, & Loss of Weight scale (K-FRAIL) questionnaires. Methods: Frailty status was measured using the Korean-translated version of the CFS and K-FRAIL questionnaire within 3 days from admission in 144 consecutive patients aged 60 years or older. The correlation between CFS and K-FRAIL score was assessed. The criterion validity of CFS was assessed using receiver operating characteristic analysis. As outcomes, delirium, bedsore, length of stay (LOS), in-hospital mortality, and unplanned 30-day readmission were measured by reviewing medical records. Results: The mean age of the study population was 70.1 years (range, 60 to 91), and 75 (52.1%) were men. By linear regression analysis, CFS and K-FRAIL were positively correlated (B = 0.72, p < 0.001). A CFS cutoff of ≥ 5 maximized sensitivity + specificity to classify frailty using K-FRAIL as a reference (C-index = 0.893). Higher frailty burden by both CFS and K-FRAIL was associated with higher LOS and bedsores. Unplanned readmission and in-hospital mortality were associated with higher CFS score but not with K-FRAIL score, after adjusting for age, gender, polypharmacy, and multimorbidity. Conclusions Frailty status by CFS was associated with LOS, bedsores, unplanned readmission, and in-hospital mortality. CFS can be used to screen high-risk patients who may benefit from geriatric interventions and discharge planning in acutely hospitalized older adults.

Background/Aims: Frailty increases the risks of in-hospital adverse events such as delirium, falls, and functional decline in older adults. We assessed the feasibility and clinical relevance of frailty status in Korean older inpatients using the Clinical Frailty Scale (CFS) and Korean version of the Fatigue, Resistance, Ambulation, Illnesses, & Loss of Weight scale (K-FRAIL) questionnaires. Methods: Frailty status was measured using the Korean-translated version of the CFS and K-FRAIL questionnaire within 3 days from admission in 144 consecutive patients aged 60 years or older. The correlation between CFS and K-FRAIL score was assessed. The criterion validity of CFS was assessed using receiver operating characteristic analysis. As outcomes, delirium, bedsore, length of stay (LOS), in-hospital mortality, and unplanned 30-day readmission were measured by reviewing medical records. Results: The mean age of the study population was 70.1 years (range, 60 to 91), and 75 (52.1%) were men. By linear regression analysis, CFS and K-FRAIL were positively correlated (B = 0.72, p < 0.001). A CFS cutoff of ≥ 5 maximized sensitivity + specificity to classify frailty using K-FRAIL as a reference (C-index = 0.893). Higher frailty burden by both CFS and K-FRAIL was associated with higher LOS and bedsores. Unplanned readmission and in-hospital mortality were associated with higher CFS score but not with K-FRAIL score, after adjusting for age, gender, polypharmacy, and multimorbidity. Conclusions Frailty status by CFS was associated with LOS, bedsores, unplanned readmission, and in-hospital mortality. CFS can be used to screen high-risk patients who may benefit from geriatric interventions and discharge planning in acutely hospitalized older adults.

Basal cell carcinoma is a common cancer and has been reported to account for approximately 80% of non-melanoma skin cancers. Superficial basal cell carcinoma occurs mainly in the trunk or limbs and is characterized by clinical features of scaly erythema with or without epidermal atrophy. These clinical features require differentiation from those of other benign and malignant skin diseases. Recently, specific dermoscopic findings of basal cell carcinoma have been helpful for diagnosis. Common dermoscopic findings of superficial basal cell carcinoma include superficial telangiectasia and maple leaf-like areas. Herein, we report a case of superficial basal cell carcinoma that was not diagnosed by punch biopsy but by dermoscopy.

Purpose: The probability of recurrence of cancer after adjuvant or definitive radiotherapy in patients with human papillomavirus-negative (HPV(–)) head and neck squamous cell carcinoma (HNSCC) varies for each patient. This study aimed to identify and validate radiation sensitivity signature (RSS) of patients with HPV(–) HNSCC to predict the recurrence of cancer after radiotherapy. Materials and Methods: Clonogenic survival assays were performed to assess radiosensitivity in 14 HNSCC cell lines. We identified genes closely correlated with radiosensitivity and validated them in The Cancer Genome Atlas (TCGA) cohort. The validated RSS were analyzed by ingenuity pathway analysis (IPA) to identify canonical pathways, upstream regulators, diseases and functions, and gene networks related to radiosensitive genes in HPV(–) HNSCC. Results: The survival fraction of 14 HNSCC cell lines after exposure to 2 Gy of radiation ranged from 48% to 72%. Six genes were positively correlated and 35 genes were negatively correlated with radioresistance, respectively. RSS was validated in the HPV(–) TCGA HNSCC cohort (n = 203), and recurrence-free survival (RFS) rate was found to be significantly lower in the radioresistant group than in the radiosensitive group (p = 0.035). Cell death and survival, cell-to-cell signaling, and cellular movement were significantly enriched in RSS, and RSSs were highly correlated with each other. Conclusion We derived a HPV(–) HNSCC-specific RSS and validated it in an independent cohort. The outcome of adjuvant or definitive radiotherapy in HPV(–) patients with HNSCC can be predicted by analyzing their RSS, which might help in establishing a personalized therapeutic plan.

BACKGROUND/AIMS: Nonalcoholic fatty liver disease (NAFLD) is becoming a worldwide epidemic, and is frequently found in patients with chronic hepatitis B (CHB). We investigated the impact of histologically proven hepatic steatosis on the risk for hepatocellular carcinoma (HCC) in CHB patients without excessive alcohol intake. METHODS: Consecutive CHB patients who underwent liver biopsy from January 2007 to December 2015 were included. The association between hepatic steatosis (≥ 5%) and subsequent HCC risk was analyzed. Inverse probability weighting (IPW) using the propensity score was applied to adjust for differences in patient characteristics, including metabolic factors. RESULTS: Fatty liver was histologically proven in 70 patients (21.8%) among a total of 321 patients. During the median (interquartile range) follow-up of 5.3 (2.9–8.3) years, 17 of 321 patients (5.3%) developed HCC: 8 of 70 patients (11.4%) with fatty liver and 9 of 251 patients (3.6%) without fatty liver. The five-year cumulative incidences of HCC among patients without and with fatty liver were 1.9% and 8.2%, respectively (P=0.004). Coexisting fatty liver was associated with a higher risk for HCC (adjusted hazards ratio [HR], 3.005; 95% confidence interval [CI], 1.122–8.051; P=0.03). After balancing with IPW, HCC incidences were not significantly different between the groups (P=0.19), and the association between fatty liver and HCC was not significant (adjusted HR, 1.709; 95% CI, 0.404–7.228; P=0.47). CONCLUSIONS: Superimposed NAFLD was associated with a higher HCC risk in CHB patients. However, the association between steatosis per se and HCC risk was not evident after adjustment for metabolic factors.
Biopsy ; Carcinoma, Hepatocellular ; Fatty Liver ; Follow-Up Studies ; Hepatitis B virus ; Hepatitis B, Chronic ; Hepatitis, Chronic ; Humans ; Incidence ; Liver ; Liver Neoplasms ; Non-alcoholic Fatty Liver Disease ; Propensity Score

OBJECTIVE: Children are sedated before undergoing diagnostic imaging tests in emergency medicine or pediatric sedation anesthesia units. The aim of this study was to identify variables potentially affecting the dose of ketamine required for induction of sedation in pediatric patients undergoing diagnostic imaging.METHODS: This retrospective study included children aged 0 to 18 years who underwent sedation with ketamine for computed tomography or magnetic resonance imaging in the pediatric sedation anesthesia unit of a tertiary medical center between January 2011 and August 2016. The children’s hemodynamic status and depth of sedation were monitored during the examination. We recorded data on demographics, categories of imaging tests, ketamine doses administered, adverse events, respiratory interventions, and duration of sedation. Data for patients who experienced adverse events were excluded.RESULTS: Sixty-six patients were included in the final analysis. Univariate linear regression analysis revealed that patient age, height, and body surface area (BSA) affected the sedative dose of ketamine administered. These three variables showed multicollinearity in multivariate linear regression analysis and were analyzed in three separate models. The model with the highest adjusted R-squared value suggested the following equation for determination of the dose of ketamine required to induce sedation: ketamine dose (mg)=-1.62+0.7×age (months)+36.36×BSA (m²).CONCLUSION: Variables such as age and BSA should be considered when estimating the dose of ketamine required for induction of sedation in pediatric patients.
Anesthesia ; Body Surface Area ; Child ; Demography ; Diagnostic Imaging ; Emergency Medicine ; Hemodynamics ; Humans ; Ketamine ; Linear Models ; Magnetic Resonance Imaging ; Patient Care ; Retrospective Studies