Various immune cells participate in repair and regeneration following tissue injury or damage, orchestrating tissue inflammation and regeneration processes. A deeper understanding of the immune system’s involvement in tissue repair and regeneration is critical for the development of successful reparatory and regenerative strategies. Here we review recent technologies that facilitate cell-based and biomaterial-based modulation of the immune systems for tissue repair and regeneration. First, we summarize the roles of various types of immune cells in tissue repair. Second, we review the principle, examples, and limitations of regulatory T (Treg) cell-based therapy, a representative cell-based immunotherapy.Finally, we discuss biomaterial-based immunotherapy strategies that aim to modulate immune cells using various biomaterials for tissue repair and regeneration.

Objectives: This study aimed to compare the Delta, Greenland, and Monte Carlo methods for estimating 95% confidence intervals (CIs) of the population-attributable fraction (PAF). The objectives were to identify the optimal method and to determine the influence of primary parameters on PAF calculations. Methods: A dataset was simulated using hypothetical values for primary parameters (population, relative risk [RR], prevalence, and variance of the beta estimator ) involved in PAF calculations. Three methods (Delta, Greenland, and Monte Carlo) were used to estimate the 95% CIs of the PAFs. Perturbation analysis was performed to assess the sensitivity of the PAF to changes in these parameters. An R Shiny application, the “GDM-PAF CI Explorer,” was developed to facilitate the analysis and visualization of these computations. Results: No significant differences were observed among the 3 methods when both the RR and p-value were low. The Delta method performed well under conditions of low prevalence or minimal RR, while Greenland’s method was effective in scenarios with high prevalence. Meanwhile, the Monte Carlo method calculated 95% CIs of PAFs that were stable overall, though it required intensive computational resources. In a novel approach that utilized perturbation for sensitivity analysis, was identified as the most influential parameter in the estimation of CIs. Conclusions This study emphasizes the necessity of a careful approach for comparing 95% CI estimation methods for PAFs and selecting the method that best suits the context. It provides practical guidelines to researchers to increase the reliability and accuracy of epidemiological studies.

Objectives: This study aimed to compare the Delta, Greenland, and Monte Carlo methods for estimating 95% confidence intervals (CIs) of the population-attributable fraction (PAF). The objectives were to identify the optimal method and to determine the influence of primary parameters on PAF calculations. Methods: A dataset was simulated using hypothetical values for primary parameters (population, relative risk [RR], prevalence, and variance of the beta estimator ) involved in PAF calculations. Three methods (Delta, Greenland, and Monte Carlo) were used to estimate the 95% CIs of the PAFs. Perturbation analysis was performed to assess the sensitivity of the PAF to changes in these parameters. An R Shiny application, the “GDM-PAF CI Explorer,” was developed to facilitate the analysis and visualization of these computations. Results: No significant differences were observed among the 3 methods when both the RR and p-value were low. The Delta method performed well under conditions of low prevalence or minimal RR, while Greenland’s method was effective in scenarios with high prevalence. Meanwhile, the Monte Carlo method calculated 95% CIs of PAFs that were stable overall, though it required intensive computational resources. In a novel approach that utilized perturbation for sensitivity analysis, was identified as the most influential parameter in the estimation of CIs. Conclusions This study emphasizes the necessity of a careful approach for comparing 95% CI estimation methods for PAFs and selecting the method that best suits the context. It provides practical guidelines to researchers to increase the reliability and accuracy of epidemiological studies.

Objectives: This study aimed to compare the Delta, Greenland, and Monte Carlo methods for estimating 95% confidence intervals (CIs) of the population-attributable fraction (PAF). The objectives were to identify the optimal method and to determine the influence of primary parameters on PAF calculations. Methods: A dataset was simulated using hypothetical values for primary parameters (population, relative risk [RR], prevalence, and variance of the beta estimator ) involved in PAF calculations. Three methods (Delta, Greenland, and Monte Carlo) were used to estimate the 95% CIs of the PAFs. Perturbation analysis was performed to assess the sensitivity of the PAF to changes in these parameters. An R Shiny application, the “GDM-PAF CI Explorer,” was developed to facilitate the analysis and visualization of these computations. Results: No significant differences were observed among the 3 methods when both the RR and p-value were low. The Delta method performed well under conditions of low prevalence or minimal RR, while Greenland’s method was effective in scenarios with high prevalence. Meanwhile, the Monte Carlo method calculated 95% CIs of PAFs that were stable overall, though it required intensive computational resources. In a novel approach that utilized perturbation for sensitivity analysis, was identified as the most influential parameter in the estimation of CIs. Conclusions This study emphasizes the necessity of a careful approach for comparing 95% CI estimation methods for PAFs and selecting the method that best suits the context. It provides practical guidelines to researchers to increase the reliability and accuracy of epidemiological studies.

Objectives: This study aimed to compare the Delta, Greenland, and Monte Carlo methods for estimating 95% confidence intervals (CIs) of the population-attributable fraction (PAF). The objectives were to identify the optimal method and to determine the influence of primary parameters on PAF calculations. Methods: A dataset was simulated using hypothetical values for primary parameters (population, relative risk [RR], prevalence, and variance of the beta estimator ) involved in PAF calculations. Three methods (Delta, Greenland, and Monte Carlo) were used to estimate the 95% CIs of the PAFs. Perturbation analysis was performed to assess the sensitivity of the PAF to changes in these parameters. An R Shiny application, the “GDM-PAF CI Explorer,” was developed to facilitate the analysis and visualization of these computations. Results: No significant differences were observed among the 3 methods when both the RR and p-value were low. The Delta method performed well under conditions of low prevalence or minimal RR, while Greenland’s method was effective in scenarios with high prevalence. Meanwhile, the Monte Carlo method calculated 95% CIs of PAFs that were stable overall, though it required intensive computational resources. In a novel approach that utilized perturbation for sensitivity analysis, was identified as the most influential parameter in the estimation of CIs. Conclusions This study emphasizes the necessity of a careful approach for comparing 95% CI estimation methods for PAFs and selecting the method that best suits the context. It provides practical guidelines to researchers to increase the reliability and accuracy of epidemiological studies.

OBJECTIVES: The purpose of this study was to determine the associations between blood hemoglobin (Hgb) levels and the risk of death by specific causes. METHODS: Using the National Health Insurance Services-National Health Screening Cohort (n=487 643), we classified serum Hgb levels into 6 sex-specific groups. Cox regression analysis was used to analyze the associations between Hgb levels and the risk of cause-specific death. RESULTS: Hgb levels in male population showed a U-shaped, J-shaped, or inverse J-shaped association with the risk of death from ischemic heart disease, acute myocardial infarction, liver cancer, cirrhosis and chronic obstructive pulmonary disease (COPD) (all non-linear p<0.05; hazard ratio [HR]; 95% confidence interval [CI]) for the lowest and the highest Hgb levels for the risk of each cause of death in male population: HR, 1.14; 95% CI, 0.98 to 1.34; HR, 2.87; 95% CI, 1.48 to 5.57; HR, 1.16; 95% CI, 0.96 to 1.40; HR, 3.05; 95% CI, 1.44 to 6.48; HR, 1.36; 95% CI, 1.18 to 1.56; HR, 2.11; 95% CI, 1.05 to 4.26; HR, 3.64; 95% CI, 2.49 to 5.33; HR, 5.97; 95% CI, 1.44 to 24.82; HR, 1.62; 95% CI, 1.14 to 2.30; HR, 3.84; 95% CI, 1.22 to 12.13, respectively), while in female population, high Hgb levels were associated with a lower risk of death from hypertension and a higher risk of death from COPD (overall p<0.05; HR, 1.86; 95% CI, 1.29 to 2.67 for the lowest Hgb levels for hypertension; overall p<0.01, HR, 6.60; 95% CI, 2.37 to 18.14 for the highest Hgb levels for COPD). For the risk of lung cancer death by Hgb levels, a linear negative association was found in male population (overall p<0.01; the lowest Hgb levels, HR, 1.17; 95% CI, 1.05 to 1.33) but an inverse J-shaped association was found in female population (non-linear p=0.01; HR, 1.25; 95% CI, 0.96 to 1.63; HR, 2.58; 95% CI, 1.21 to 5.50). CONCLUSIONS Both low and high Hgb levels were associated with an increased risk of death from various causes, and some diseases showed different patterns according to sex.

OBJECTIVE: The purpose of this study was to investigate impact of knowledge, familiarity, and prejudice about mental illness as well as demographic factors on the social distance from mentally ill people, which is a proxy measure of discrimination. METHOD: To assess the impact of knowledge and familiarity, prejudice about mental illness and demographic factors on the social distance from mental illness, we conducted a telephone survey in South Korea with the responders being nationally representative people who were 18 years old or over (n=1040). Independent samples T-tests, one way ANOVA and linear regression analysis were performed to analyze the results of the survey. RESULT: The social distance from mental illness decreased as the knowledge and familiarity increased, but the social distance was increased as prejudice was increased. Prejudice had a greater impact on social distance than familiarity and knowledge. Females showed greater social distance than did males. A higher education level had a negative effect on social distance. CONCLUSION: To reduce the social distance from mentally ill people, efforts to increase the familiarity about mental illness as well as efforts to educate people about mental illness are important.
Adult ; Aged ; Analysis of Variance ; Demography ; Female ; Humans ; Interviews as Topic ; Knowledge ; Korea ; Male ; Mentally Ill Persons/*psychology ; Middle Aged ; Prejudice ; Questionnaires ; Recognition (Psychology) ; Regression Analysis ; Risk Factors ; *Social Distance

BACKGROUND: The quality of care for patients with community acquired pneumonia needs to be improved; the factors affecting this care need to be analyzed. The objectives of this study were used to measure the performance of care processes of for patients with pneumonia and to determine those patient and hospital characteristics are associated with quality care. METHODS: The analysis was performed using data from 21 hospitals that had over 500 beds for 1,001 patients, who were sampled randomly. All patients were born before 31 December 1989, and discharged between the two months' August 2006 and October 2006. Performance process indicators were measured by respective hospital, and multivariate logistic regression was used to calculate associations between patients and hospital characteristics using 4 process indicators. RESULTS: Performance rates in timely assessment of oxygenation assessments and blood cultures, correct administration of antibiotic medications, and blood culture performed prior to initial antibiotics were 69.4%, 79.1%, 82.5% and 60.5%, respectively. Age had a positive affect on oxygenation assessment within 24 hours. Bed number, number of nurses per bed, annual number of emergency department visits, average percentage of beds filled, location and arrival time, and site were factors associated with process indicators. CONCLUSION: It is necessary to make up for the weak points in the process of care for patients with community acquired pneumonia, by enforcing quality assurance. To reduce performance rate variation among hospitals, improvement in care protocols is required for hospitals that have poor quality of care levels.
Anti-Bacterial Agents ; Emergencies ; Humans ; Logistic Models ; Oxygen ; Pneumonia ; Process Assessment (Health Care)

BACKGROUND: Minimal invasive gynecologic surgery usually requires pneumoperitoneum and Trendelenburg positioning, which results in adverse effects on respiratory and hemodynamic parameters. The aim of this study was to investigate the effects of volume-controlled ventilation (VCV) and pressure-controlled ventilation (PCV) introduced sequentially in patients who underwent gynecological laparoscopy on respiratory mechanics, cardiovascular responses, and gas exchange. METHODS: Forty patients who were scheduled for gynecologic laparoscopic surgery were enrolled. Baseline ventilation of their lungs was performed with VCV with a tidal volume (TV) of 8 ml/kg ideal body weight (IBW). Forty minutes after pneumoperitoneum and Trendelenburg positioning, the ventilation mode was changed to PCV, and airway pressure was set to provide a TV of 8 ml/kg IBW without exceeding 35 cmH2O. Respiratory mechanics and hemodynamic and gas exchange parameters were recorded at 10 minutes after induction, 30 minutes after CO2 pneumoperitoneum and Trendelenburg positioning, 30 minutes after PCV, and 30 minutes after desufflation and supine position. RESULTS: After pneumoperitoneum and Trendelenburg positioning, there were significant increases in systolic blood pressure, diastolic blood pressure, central venous pressure, peak airway pressure (PAP), mean airway pressure (Pmean), whereas lung compliance and PaO2 significantly decreased. The decrease in PAP and increases of Pmean, lung compliance and PaO2 were observed during PCV compared with VCV (P < 0.05). There were no differences in hemodynamic parameters between VCV and PCV. CONCLUSIONS: Our results demonstrated that PCV may be an effective method of ventilation during gynecologic laparoscopy in terms of improved oxygenation and minimizing adverse respiratory mechanics.
Blood Pressure ; Central Venous Pressure ; Female ; Gynecologic Surgical Procedures ; Head-Down Tilt* ; Hemodynamics ; Humans ; Ideal Body Weight ; Laparoscopy* ; Lung ; Lung Compliance ; Oxygen ; Pneumoperitoneum ; Respiratory Mechanics ; Supine Position ; Tidal Volume ; Ventilation*

Objectives: This study aimed to identify the current patterns of cancer incidence and estimate the projected cancer incidence and mortality between 2020 and 2035 in Korea. Methods: Data on cancer incidence cases were extracted from the Korean Statistical Information Service from 2000 to 2017, and data on cancer-related deaths were extracted from the National Cancer Center from 2000 to 2018. Cancer cases and deaths were classified according to the International Classification of Diseases, 10th edition. For the current patterns of cancer incidence, age-standardized incidence rates (ASIRs) and age-standardized mortality rates were investigated using the 2000 mid-year estimated population aged over 20 years and older. A joinpoint regression model was used to determine the 2020 to 2035 trends in cancer. Results: Overall, cancer cases were predicted to increase from 265 299 in 2020 to 474 085 in 2035 (growth rate: 1.8%). The greatest increase in the ASIR was projected for prostate cancer among male (7.84 vs. 189.53 per 100 000 people) and breast cancer among female (34.17 vs. 238.45 per 100 000 people) from 2000 to 2035. Overall cancer deaths were projected to increase from 81 717 in 2020 to 95 845 in 2035 (average annual growth rate: 1.2%). Although most cancer mortality rates were projected to decrease, those of breast, pancreatic, and ovarian cancer among female were projected to increase until 2035. Conclusions These up-to-date projections of cancer incidence and mortality in the Korean population may be a significant resource for implementing cancer-related regulations or developing cancer treatments.