The purpose of this study was to investigate the cause of eruption disturbance in the maxillary central incisor and establish the effective treatment plan by analyzing the vertical distance, angulation of long axis and root development of the tooth with eruption disturbance using the cone-beam CT.The average age of 134 patients diagnosed with unilaterally impacted maxillary central incisor was 7.9 years old and the male was 2.1 times higher than the female. The most common cause of eruption disorder was physical obstruction, especially mesiodens and odontoma. Of the teeth with unilateral eruption disorder, 78 cases erupted spontaneously and 56 cases erupted non-spontaneously after removal of physical obstruction.The possibility of spontaneous or non-spontaneous eruption in the unilaterally impacted maxillary central incisor depended on several factors, such as vertical distance, angulation of long axis and root development of unerupted tooth. The spontaneous eruption of the impacted maxillary cental incisor was most frequent at the angulation of long axis of 50 to 90 degrees, which is similar to the angulation of long axis of the normally erupted maxillary central incisor. In addition, the spontaneous eruption period of impacted maxillary central incisor was more influenced by the vertical distance than the angulation of long axis and the root development. Most of the teeth that showed non-spontaneous eruption had orthodontic traction, and these teeth were usually erupted within about 12 months. The period treated with orthodontic traction was no statistical significance with the vertical distance, the angulation of long axis, and the root development.This study will provide information on the cause of unilaterally impacted maxillary cental incisor and help to establish the future treatment plan.
Cone-Beam Computed Tomography ; Female ; Humans ; Incisor ; Male ; Odontoma ; Tooth ; Tooth, Impacted ; Tooth, Unerupted ; Traction

South Korea implemented interventions to curb the spread of the novel coronavirus disease 2019 (COVID-19) pandemic with discovery of the first case in early 2020. Mathematical modeling designed to reflect the dynamics of disease transmission has been shown to be an important tool for responding to COVID-19. This study aimed to review publications on the structure, method, and role of mathematical models focusing on COVID-19 transmission dynamics in Korea. In total, 42 papers published between August 7, 2020 and August 21, 2022 were studied and reviewed. This study highlights the construction and utilization of mathematical models to help craft strategies for predicting the course of an epidemic and evaluating the effectiveness of control strategies. Despite the limitations caused by a lack of available epidemiological and surveillance data, modeling studies could contribute to providing scientific evidence for policymaking by simulating various scenarios.

Objectives: Transitional periods, such as patient discharge, are notably challenging. This study aimed to explore the perceptions of providers involved in hospital discharge support programs, identify the primary obstacles, and propose strategies for improvement. Methods: In this qualitative cross-sectional study, we interviewed 49 healthcare professionals, comprising doctors, nurses, and social workers, who participated in two pilot programs. We organized focus group interviews with 3-6 participants per group, segmented by the type of discharge support program and profession. For data analysis, we employed phenomenological analysis, a qualitative method. Results: Participants recognized the importance of the discharge support program and anticipated its benefits. The Rehabilitation Hospital Discharge Patient Support program saw more active involvement from doctors than the Establishment of a Public Health-Medical Collaboration System program. Both programs highlighted the critical need for more staff and better compensation, as identified by the doctors. Nurses and social workers cited the heavy documentation burden, uncooperative attitudes from patients and local governments, and other issues. They also anticipated that program improvements could be achieved through the standardization of regional welfare services and better coordination by local governments serving as welfare service regulators. All groups—doctors, nurses, and social workers—underscored the significance of promoting these programs. Conclusions Discharge support programs are crucial for patients with functional impairments and severe illnesses, particularly in ensuring continuity of care. Policy support is essential for the successful implementation of these programs in Korea.

Single-cell omics technologies have transformed our investigation of genomic, transcriptomic, and proteomic landscapes at the individual cell level. In particular, the application of single-cell RNA sequencing has unveiled the complex transcriptional variations inherent in cardiac cells, offering valuable perspectives into their dynamics. This review focuses on the integration of single-cell omics with induced pluripotent stem cells (iPSCs) in the context of cardiovascular research, offering a unique avenue to deepen our understanding of cardiac biology. By synthesizing insights from various single-cell technologies, we aim to elucidate the molecular intricacies of heart health and diseases. Beyond current methodologies, we explore the potential of emerging paradigms such as single-cell/spatial omics, delving into their capacity to reveal the spatial organization of cellular components within cardiac tissues. Furthermore, we anticipate their transformative role in shaping the future of cardiovascular research. This review aims to contribute to the advancement of knowledge in the field, offering a comprehensive perspective on the synergistic potential of transcriptomic analyses, iPSC applications, and the evolving frontier of spatial omics.

Single-cell omics technologies have transformed our investigation of genomic, transcriptomic, and proteomic landscapes at the individual cell level. In particular, the application of single-cell RNA sequencing has unveiled the complex transcriptional variations inherent in cardiac cells, offering valuable perspectives into their dynamics. This review focuses on the integration of single-cell omics with induced pluripotent stem cells (iPSCs) in the context of cardiovascular research, offering a unique avenue to deepen our understanding of cardiac biology. By synthesizing insights from various single-cell technologies, we aim to elucidate the molecular intricacies of heart health and diseases. Beyond current methodologies, we explore the potential of emerging paradigms such as single-cell/spatial omics, delving into their capacity to reveal the spatial organization of cellular components within cardiac tissues. Furthermore, we anticipate their transformative role in shaping the future of cardiovascular research. This review aims to contribute to the advancement of knowledge in the field, offering a comprehensive perspective on the synergistic potential of transcriptomic analyses, iPSC applications, and the evolving frontier of spatial omics.

Objectives: Transitional periods, such as patient discharge, are notably challenging. This study aimed to explore the perceptions of providers involved in hospital discharge support programs, identify the primary obstacles, and propose strategies for improvement. Methods: In this qualitative cross-sectional study, we interviewed 49 healthcare professionals, comprising doctors, nurses, and social workers, who participated in two pilot programs. We organized focus group interviews with 3-6 participants per group, segmented by the type of discharge support program and profession. For data analysis, we employed phenomenological analysis, a qualitative method. Results: Participants recognized the importance of the discharge support program and anticipated its benefits. The Rehabilitation Hospital Discharge Patient Support program saw more active involvement from doctors than the Establishment of a Public Health-Medical Collaboration System program. Both programs highlighted the critical need for more staff and better compensation, as identified by the doctors. Nurses and social workers cited the heavy documentation burden, uncooperative attitudes from patients and local governments, and other issues. They also anticipated that program improvements could be achieved through the standardization of regional welfare services and better coordination by local governments serving as welfare service regulators. All groups—doctors, nurses, and social workers—underscored the significance of promoting these programs. Conclusions Discharge support programs are crucial for patients with functional impairments and severe illnesses, particularly in ensuring continuity of care. Policy support is essential for the successful implementation of these programs in Korea.

Single-cell omics technologies have transformed our investigation of genomic, transcriptomic, and proteomic landscapes at the individual cell level. In particular, the application of single-cell RNA sequencing has unveiled the complex transcriptional variations inherent in cardiac cells, offering valuable perspectives into their dynamics. This review focuses on the integration of single-cell omics with induced pluripotent stem cells (iPSCs) in the context of cardiovascular research, offering a unique avenue to deepen our understanding of cardiac biology. By synthesizing insights from various single-cell technologies, we aim to elucidate the molecular intricacies of heart health and diseases. Beyond current methodologies, we explore the potential of emerging paradigms such as single-cell/spatial omics, delving into their capacity to reveal the spatial organization of cellular components within cardiac tissues. Furthermore, we anticipate their transformative role in shaping the future of cardiovascular research. This review aims to contribute to the advancement of knowledge in the field, offering a comprehensive perspective on the synergistic potential of transcriptomic analyses, iPSC applications, and the evolving frontier of spatial omics.

Objectives: Transitional periods, such as patient discharge, are notably challenging. This study aimed to explore the perceptions of providers involved in hospital discharge support programs, identify the primary obstacles, and propose strategies for improvement. Methods: In this qualitative cross-sectional study, we interviewed 49 healthcare professionals, comprising doctors, nurses, and social workers, who participated in two pilot programs. We organized focus group interviews with 3-6 participants per group, segmented by the type of discharge support program and profession. For data analysis, we employed phenomenological analysis, a qualitative method. Results: Participants recognized the importance of the discharge support program and anticipated its benefits. The Rehabilitation Hospital Discharge Patient Support program saw more active involvement from doctors than the Establishment of a Public Health-Medical Collaboration System program. Both programs highlighted the critical need for more staff and better compensation, as identified by the doctors. Nurses and social workers cited the heavy documentation burden, uncooperative attitudes from patients and local governments, and other issues. They also anticipated that program improvements could be achieved through the standardization of regional welfare services and better coordination by local governments serving as welfare service regulators. All groups—doctors, nurses, and social workers—underscored the significance of promoting these programs. Conclusions Discharge support programs are crucial for patients with functional impairments and severe illnesses, particularly in ensuring continuity of care. Policy support is essential for the successful implementation of these programs in Korea.

Background: To overcome the limitations of relying on data from a single institution, many researchers have studied data linkage methodologies. Data linkage includes errors owing to legal issues surrounding personal information and technical issues related to data processing. Linkage errors affect selection bias, and external and internal validity. Therefore, quality verification for each connection method with adherence to personal information protection is an important issue. This study evaluated the linkage quality of linked data and analyzed the potential bias resulting from linkage errors. Methods: This study analyzed claims data submitted to the Health Insurance Review and Assessment Service (HIRA DATA). The linkage errors of the two deterministic linkage methods were evaluated based on the use of the match key. The first deterministic linkage uses a unique identification number, and the second deterministic linkage uses the name, gender, and date of birth as a set of partial identifiers. The linkage error included in this deterministic linkage method was compared with the absolute standardized difference (ASD) of Cohen’s according to the baseline characteristics, and the linkage quality was evaluated through the following indicators: linked rate, false match rate, missed match rate, positive predictive value, sensitivity, specificity, and F1-score. Results: For the deterministic linkage method that used the name, gender, and date of birth as a set of partial identifiers, the true match rate was 83.5 and the missed match rate was 16.5.Although there was bias in some characteristics of the data, most of the ASD values were less than 0.1, with no case greater than 0.5. Therefore, it is difficult to determine whether linked data constructed with deterministic linkages have substantial differences. Conclusion This study confirms the possibility of building health and medical data at the national level as the first data linkage quality verification study using big data from the HIRA. Analyzing the quality of linkages is crucial for comprehending linkage errors and generating reliable analytical outcomes. Linkers should increase the reliability of linked data by providing linkage error-related information to researchers. The results of this study will serve as reference data to increase the reliability of multicenter data linkage studies.

Pancreatic duct disruption associated with pancreatitis can lead to the development of pseudocysts, pancreatic ascites, and pleural effusion. A 50-year-old male presented with a 1-month history of postprandial epigastric pain. A chest X-ray showed right pleural effusion. Diagnostic thoracentesis revealed an amylase-rich exudate consistent with pancreatic effusion. Magnetic resonance cholangiopancreatography demonstrated a pancreaticopleural fistula tract, and endoscopic retrograde pancreatography confirmed the presence of pancreatic ductal disruption and leakage at the genu portion. The pancreaticopleural fistula was treated by transpapillary pancreatic stenting. Percutaneous drainage of the pleural effusion and octreotide injection were also performed. Follow-up endoscopic retrograde pancreatography at 8 weeks revealed no leakage of contrast media from the main pancreatic duct. Endoscopic pancreatic stenting can be an efficacious nonsurgical treatment of pancreaticopleural fistula following pancreatitis.
Ascites ; Cholangiopancreatography, Magnetic Resonance ; Contrast Media ; Drainage ; Exudates and Transudates ; Fistula* ; Follow-Up Studies ; Humans ; Male ; Middle Aged ; Octreotide ; Pancreatic Ducts ; Pancreatic Pseudocyst ; Pancreatitis* ; Pleural Effusion ; Stents* ; Thorax