PURPOSE: The purpose of this study was to survey the prevalence rate of cognitive impairments and to identify the factors influencing cognitive impairment in the elderly in rural communities of Jeju Province. METHODS: 590 elderly in 6 rural communities of Jeju Province were interviewed, using a questionnaire consisting of sociodemographic characteristics, health behavior, quality of life, and MMSE-K RESULTS: Prevalence of cognitive impairment was 33.1% (39.1% of females, 16.76% of males). Prevalence of dementia was 12.4% (16.3% of females, 2.87% of males). Factors related to cognitive impairment were age, sex, education, standard of living, employment status, and subjective health state. CONCLUSIONS: In community health care for the elderly, factors relating to cognitive impairment have to be considered. When planning community health care, priority should be given to the elderly; who need care but live alone; who lack social support; who have a low standard of living; who experience discomfort in the activities of daily living; who believe they are not in a good state of health; or whose life satisfaction is low.

A Pancoast tumor is a rare form of lung cancer that occurs mainly in the apex of the lung as the main symptom of upper extremity pain. Oropharyngeal dysphagia is not a common symptom. This case report describes a 57-year-old male patient with a Pancoast tumor who presented with oropharyngeal dysphagia. The patient's symptoms included left shoulder and arm pain. The chest computed tomography revealed a mass in the apex of the left lung, invading the mediastinum and compressing the left brachial vein and brachial plexus. He was discharged after receiving palliative chemotherapy. The patient returned to the hospital with dyspnea and was diagnosed with aspiration pneumonia. The cranial nerve exam confirmed hoarseness and an absent gag reflex. In addition, the laryngeal elevation decreased, and the bedside water test was positive. A video fluoroscopic swallow study confirmed the presence of oropharyngeal dysphagia, which was attributed to left glossopharyngeal and vagus nerve damage associated with the Pancoast tumor. This case highlights the need to be aware that a Pancoast tumor can cause oropharyngeal dysphagia. If oropharyngeal dysphagia is suspected, VFSS should be performed to prevent complications leading to mortality from lung cancer.

Objective: To utilize pulmonary function parameters as predictive factors for dysphagia in individuals with cervical spinal cord injuries (CSCIs). Methods: Medical records of 78 individuals with CSCIs were retrospectively reviewed. The pulmonary function was evaluated using spirometry and peak flow meter, whereas the swallowing function was assessed using a videofluoroscopic swallowing study. Participants were divided into the non-penetration-aspiration group (score 1 on the Penetration-Aspiration Scale [PAS]) and penetration-aspiration group (scores 2–8 on the PAS). Individuals with pharyngeal residue grade scores >1 were included in the pharyngeal residue group. Results: The mean age was significantly higher in the penetration-aspiration and pharyngeal residue groups. In this study, individuals with clinical features, such as advanced age, history of tracheostomy, anterior surgical approach, and higher neurological level of injury, had significantly more penetration-aspiration or pharyngeal residue. Individuals in the penetration-aspiration group had significantly lower peak cough flow (PCF) levels. Individuals in the pharyngeal residue group had a significantly lower forced expiratory volume in 1 second (FEV1). According to the receiver operating characteristic curve analysis of PCF and FEV1 on the PAS, the cutoff value was 140 L/min and 37.5% of the predicted value, respectively. Conclusion Low PCF and FEV1 values may predict the risk of dysphagia in individuals with CSCIs. In these individuals, active evaluation of swallowing is recommended to confirm dysphagia.

Objectives: . To compare the surgical outcomes of externally monitored and conventional buried flaps with the goal of determining the usefulness of external monitoring of buried flaps. Methods: . In this case-control study with propensity score matching, 30 patients were evenly divided into externally monitored buried flap and conventional buried flap groups. The total operative time for free flap reconstruction, the flap survival rate, the length of hospital stay, the initial time of a reliable visual assessment, complications, the final diet achieved, and the duration until diet initiation were compared between the groups. Results: . The mean operative time for reconstruction was 115 minutes (interquartile range, 85–150 minutes) and 142 minutes (interquartile range, 95–180 minutes) in the externally monitored and conventional groups, respectively (P= 0.245). The median length of hospital stay was 24 days (interquartile range, 18–30 days) and 27 days (interquartile range, 20–41 days) in the externally monitored and conventional groups, respectively (P=0.298). The median duration until diet initiation was 15 days (interquartile range, 15–21 days) and 18 days (interquartile range, 15–34 days) in the externally monitored and conventional groups, respectively (P=0.466). The final diet, initial time of a reliable visual assessment, and complications were comparable between the groups, but the external skin paddle provided an excellent visual assessment immediately postoperatively in all cases. Conclusion . The outcomes were comparable between the groups, indicating that externalization of the cutaneous component of a buried flap may be a straightforward and useful technique for monitoring a buried anterolateral thigh free flap in laryngopharyngeal reconstructions. The salvage and false-positive rates of compromised flaps should be compared in large subject groups in future studies to prove that the use of an external skin paddle improves flap monitoring.

Objective: The purpose of this study was to investigate the accuracy of one-step automated orthodontic diagnosis of skeletodental discrepancies using a convolutional neural network (CNN) and lateral cephalogram images with different qualities from nationwide multi-hospitals. Methods: Among 2,174 lateral cephalograms, 1,993 cephalograms from two hospitals were used for training and internal test sets and 181 cephalograms from eight other hospitals were used for an external test set. They were divided into three classification groups according to anteroposterior skeletal discrepancies (Class I, II, and III), vertical skeletal discrepancies (normodivergent, hypodivergent, and hyperdivergent patterns), and vertical dental discrepancies (normal overbite, deep bite, and open bite) as a gold standard. Pre-trained DenseNet-169 was used as a CNN classifier model. Diagnostic performance was evaluated by receiver operating characteristic (ROC) analysis, t-stochastic neighbor embedding (t-SNE), and gradientweighted class activation mapping (Grad-CAM). Results: In the ROC analysis, the mean area under the curve and the mean accuracy of all classifications were high with both internal and external test sets (all, > 0.89 and > 0.80). In the t-SNE analysis, our model succeeded in creating good separation between three classification groups. Grad-CAM figures showed differences in the location and size of the focus areas between three classification groups in each diagnosis. Conclusions Since the accuracy of our model was validated with both internal and external test sets, it shows the possible usefulness of a one-step automated orthodontic diagnosis tool using a CNN model. However, it still needs technical improvement in terms of classifying vertical dental discrepancies.