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Purpose@#Hypoxaemia is a significant adverse event during endoscopic retrograde cholangiopancreatography (ERCP) under monitored anaesthesia care (MAC); however, no model has been developed to predict hypoxaemia. We aimed to develop and compare logistic regression (LR) and machine learning (ML) models to predict hypoxaemia during ERCP under MAC. @*Materials and Methods@#We collected patient data from our institutional ERCP database. The study population was randomly divided into training and test sets (7:3). Models were fit to training data and evaluated on unseen test data. The training set was further split into k-fold (k=5) for tuning hyperparameters, such as feature selection and early stopping. Models were trained over k loops; the i-th fold was set aside as a validation set in the i-th loop. Model performance was measured using area under the curve (AUC). @*Results@#We identified 6114 cases of ERCP under MAC, with a total hypoxaemia rate of 5.9%. The LR model was established by combining eight variables and had a test AUC of 0.693. The ML and LR models were evaluated on 30 independent data splits. The average test AUC for LR was 0.7230, which improved to 0.7336 by adding eight more variables with an l 1 regularisation-based selection technique and ensembling the LRs and gradient boosting algorithm (GBM). The high-risk group was discriminated using the GBM ensemble model, with a sensitivity and specificity of 63.6% and 72.2%, respectively. @*Conclusion@#We established GBM ensemble model and LR model for risk prediction, which demonstrated good potential for preventing hypoxaemia during ERCP under MAC.
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Background/Aims@#The prognostic value of a comprehensive geriatric assessment (CGA) for the management of older small cell lung cancer (SCLC) patients remains to be established. @*Methods@#A retrospective cohort enrolled 21 SCLC patients over 65 years from March 2018 to 2019 at the Yonsei Cancer Center. The CGA included the following instruments: frailty, body mass index, sarcopenia (circumference of arm and calf, Timed Up and Go test, grip strength), comorbidity, polypharmacy, activities of daily living (ADL), Instrumental ADL, nutrition, depression, and cognitive function. The correlations of oncological and geriatric variables with overall survival (OS) were determined. The log-rank test with Cox model and Kaplan-Meier method were used for the analysis. @*Results@#The median age was 75 years (range, 67 to 85). All patients had the Eastern Cooperative Oncology Group performance status 0–2. The median survival was 9.93 months (range, 1.53 to 36.30). Among CGA parameters, ADL and nutritional status had significant differences in OS in univariate analysis. In multivariate analysis, only nutritional status was independently associated with survival (hazard ratio, 0.17; 95% confidence interval, 0.05 to 0.57). Median OS for low nutritional status was 5.63 months and the normal nutrition group was 15.5 months (p = 0.004). @*Conclusions@#Pre-treatment nutritional status measured by CGA appears to be a predictor of OS in older SCLC patients. However, for further generalization of the implication of CGA in SCLC, a larger scale study with prospective design is strongly needed.
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We investigated the relationship between glucose variability and frailty. Forty-eight type 2 diabetic patients aged ≥ 65 years were enrolled. The FRAIL scale was used for frailty assessment, and participants were classified into ‘healthy & pre-frail’ (n = 24) and ‘frail’ (n = 24) groups. A continuous glucose monitoring (CGM) system was used for a mean of 6.9 days and standardized CGM metrics were analyzed: mean glucose, glucose management indicator (GMI), coefficient of variation, and time in range, time above range (TAR), and time below range. The demographics did not differ between groups. However, among the CGM metrics, mean glucose, GMI, and TAR in the postprandial periods were higher in the frail group (all P < 0.05). After multivariate adjustments, the post-lunch TAR (OR = 1.12, P = 0.019) affected the prevalence of frailty. Higher glucose variability with marked daytime postprandial hyperglycemia is significantly associated with frailty in older patients with diabetes.
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Background@#Nonalcoholic fatty liver disease (NAFLD) is the most prevalent cause of chronic liver disease worldwide. Type 2 diabetes mellitus (T2DM) is a risk factor that accelerates NAFLD progression, leading to fibrosis and cirrhosis. Thus, here we aimed to develop a simple model to predict the presence of NAFLD based on clinical parameters of patients with T2DM. @*Methods@#A total of 698 patients with T2DM who visited five medical centers were included. NAFLD was evaluated using transient elastography. Univariate logistic regression analyses were performed to identify potential contributors to NAFLD, followed by multivariable logistic regression analyses to create the final prediction model for NAFLD. @*Results@#Two NAFLD prediction models were developed, with and without serum biomarker use. The non-laboratory model comprised six variables: age, sex, waist circumference, body mass index (BMI), dyslipidemia, and smoking status. For a cutoff value of ≥60, the prediction accuracy was 0.780 (95% confidence interval [CI], 0.743 to 0.817). The second comprehensive model showed an improved discrimination ability of up to 0.815 (95% CI, 0.782 to 0.847) and comprised seven variables: age, sex, waist circumference, BMI, glycated hemoglobin, triglyceride, and alanine aminotransferase to aspartate aminotransferase ratio. Our non-laboratory model showed non-inferiority in the prediction of NAFLD versus previously established models, including serum parameters. @*Conclusion@#The new models are simple and user-friendly screening methods that can identify individuals with T2DM who are at high-risk for NAFLD. Additional studies are warranted to validate these new models as useful predictive tools for NAFLD in clinicalpractice.
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We investigated the relationship between glucose variability and frailty. Forty-eight type 2 diabetic patients aged ≥ 65 years were enrolled. The FRAIL scale was used for frailty assessment, and participants were classified into ‘healthy & pre-frail’ (n = 24) and ‘frail’ (n = 24) groups. A continuous glucose monitoring (CGM) system was used for a mean of 6.9 days and standardized CGM metrics were analyzed: mean glucose, glucose management indicator (GMI), coefficient of variation, and time in range, time above range (TAR), and time below range. The demographics did not differ between groups. However, among the CGM metrics, mean glucose, GMI, and TAR in the postprandial periods were higher in the frail group (all P < 0.05). After multivariate adjustments, the post-lunch TAR (OR = 1.12, P = 0.019) affected the prevalence of frailty. Higher glucose variability with marked daytime postprandial hyperglycemia is significantly associated with frailty in older patients with diabetes.
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Background@#Nonalcoholic fatty liver disease (NAFLD) is the most prevalent cause of chronic liver disease worldwide. Type 2 diabetes mellitus (T2DM) is a risk factor that accelerates NAFLD progression, leading to fibrosis and cirrhosis. Thus, here we aimed to develop a simple model to predict the presence of NAFLD based on clinical parameters of patients with T2DM. @*Methods@#A total of 698 patients with T2DM who visited five medical centers were included. NAFLD was evaluated using transient elastography. Univariate logistic regression analyses were performed to identify potential contributors to NAFLD, followed by multivariable logistic regression analyses to create the final prediction model for NAFLD. @*Results@#Two NAFLD prediction models were developed, with and without serum biomarker use. The non-laboratory model comprised six variables: age, sex, waist circumference, body mass index (BMI), dyslipidemia, and smoking status. For a cutoff value of ≥60, the prediction accuracy was 0.780 (95% confidence interval [CI], 0.743 to 0.817). The second comprehensive model showed an improved discrimination ability of up to 0.815 (95% CI, 0.782 to 0.847) and comprised seven variables: age, sex, waist circumference, BMI, glycated hemoglobin, triglyceride, and alanine aminotransferase to aspartate aminotransferase ratio. Our non-laboratory model showed non-inferiority in the prediction of NAFLD versus previously established models, including serum parameters. @*Conclusion@#The new models are simple and user-friendly screening methods that can identify individuals with T2DM who are at high-risk for NAFLD. Additional studies are warranted to validate these new models as useful predictive tools for NAFLD in clinicalpractice.
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Growth hormone (GH) deficiency is caused by congenital or acquired causes and occurs in childhood or adulthood. GH replacement therapy brings benefits to body composition, exercise capacity, skeletal health, cardiovascular outcomes, and quality of life. Before initiating GH replacement, GH deficiency should be confirmed through proper stimulation tests, and in cases with proven genetic causes or structural lesions, repeated GH stimulation testing is not necessary. The dosing regimen of GH replacement therapy should be individualized, with the goal of minimizing side effects and maximizing clinical improvements. The Korean Endocrine Society and the Korean Society of Pediatric Endocrinology have developed a position statement on the diagnosis and treatment of GH deficiency. This position statement is based on a systematic review of evidence and expert opinions.
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In recent years, artificial intelligence (AI) technologies have greatly advanced and become a reality in many areas of our daily lives. In the health care field, numerous efforts are being made to implement the AI technology for practical medical treatments. With the rapid developments in machine learning algorithms and improvements in hardware performances, the AI technology is expected to play an important role in effectively analyzing and utilizing extensive amounts of health and medical data. However, the AI technology has various unique characteristics that are different from the existing health care technologies. Subsequently, there are a number of areas that need to be supplemented within the current health care system for the AI to be utilized more effectively and frequently in health care. In addition, the number of medical practitioners and public that accept AI in the health care is still low;moreover, there are various concerns regarding the safety and reliability of AI technologyimplementations. Therefore, this paper aims to introduce the current research and application status of AI technology in health care and discuss the issues that need to be resolved.
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In the modern society in which we live, digitalization, big data and artificial intelligence (AI) are widely used in finance, e-commerce, manufacturing, and logistics. This trend is no exception in healthcare, and many healthcare professionals have the expectation that digital healthcare, including AI, which produce and utilize medical big data, can help doctors to improve the quality of healthcare services. In particular, in the endocrine area to which we belong, it can be seen that it is relatively easy to conduct AI research using medical big data, i.e., real world data, which is relatively well organized compared to other diseases.Already, AI technologies for diagnosing diabetic complication or vision recognition technologies for determining diabetic retinopathy have been studied for quite a long time and are also used in clinical practice. Hence, there is no doubt that medical big data will play an essential role in healthcare, especially in endocrinology and diabetology. However, there is a need to review the clinical implications of AI research results utilizing medical big data. Medical staff should clarify the purpose of AI to leverage medical big data. In addition, healthcare professionals must understand the precautions and benefits required to use medical big data when perform AI research. Therefore, in this manuscript, some studies are being conducted using real world data in the field of diabetology, and I would like to discuss the implications of these studies and future development directions.
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In the modern society in which we live, digitalization, big data and artificial intelligence (AI) are widely used in finance, e-commerce, manufacturing, and logistics. This trend is no exception in healthcare, and many healthcare professionals have the expectation that digital healthcare, including AI, which produce and utilize medical big data, can help doctors to improve the quality of healthcare services. In particular, in the endocrine area to which we belong, it can be seen that it is relatively easy to conduct AI research using medical big data, i.e., real world data, which is relatively well organized compared to other diseases.Already, AI technologies for diagnosing diabetic complication or vision recognition technologies for determining diabetic retinopathy have been studied for quite a long time and are also used in clinical practice. Hence, there is no doubt that medical big data will play an essential role in healthcare, especially in endocrinology and diabetology. However, there is a need to review the clinical implications of AI research results utilizing medical big data. Medical staff should clarify the purpose of AI to leverage medical big data. In addition, healthcare professionals must understand the precautions and benefits required to use medical big data when perform AI research. Therefore, in this manuscript, some studies are being conducted using real world data in the field of diabetology, and I would like to discuss the implications of these studies and future development directions.
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PURPOSE: To evaluate the clinical effect of intravenous glutamine administration on patients admitted to the intensive care unit in general hospitals. METHODS: Patients with more than 7 days in an intensive care unit were evaluated. The experimental group was the patients who received intravenous glutamine administration for more than 3 days. The laboratory results, intensive care unit length of stay, hospital length of stay, 30 days mortality, and hospital mortality were evaluated with a comparative group. RESULTS: The mean number of administration days of intravenous glutamine was 10.12±8.93 days, and the average daily dose was 0.33±0.10 g/kg/day. No adequate improvement in the laboratory results of glutamine-treated group was observed. The intensive care unit length of stay (21.16±15.83 vs. 16.48±11.06, P=0.007), hospital length of stay (35.94±30.75 vs. 27.34±19.09, P=0.010), 30 days mortality (20.0% vs. 10.0%, P=0.034), and hospital mortality (26.3% vs. 13.0%, P=0.001) were higher in the glutamine-treated group. CONCLUSION: The use of intravenous glutamine on intensive care unit patients did not improve the clinical effect. Further large-scale multi-center studies will be needed to assess the proper administration of intravenous glutamine on intensive care unit patients.
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Humanos , Cuidados Críticos , Glutamina , Mortalidad Hospitalaria , Hospitales Generales , Unidades de Cuidados Intensivos , Tiempo de Internación , MortalidadRESUMEN
The Korean Endocrine Society (KES) published clinical practice guidelines for the treatment of acromegaly in 2011. Since then, the number of acromegaly cases, publications on studies addressing medical treatment of acromegaly, and demands for improvements in insurance coverage have been dramatically increasing. In 2017, the KES Committee of Health Insurance decided to publish a position statement regarding the use of somatostatin analogues in acromegaly. Accordingly, consensus opinions for the position statement were collected after intensive review of the relevant literature and discussions among experts affiliated with the KES, and the Korean Neuroendocrine Study Group. This position statement includes the characteristics, indications, dose, interval (including extended dose interval in case of lanreotide autogel), switching and preoperative use of somatostatin analogues in medical treatment of acromegaly. The recommended approach is based on the expert opinions in case of insufficient clinical evidence, and where discrepancies among the expert opinions were found, the experts voted to determine the recommended approach.
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Acromegalia , Consenso , Testimonio de Experto , Cobertura del Seguro , Seguro de Salud , Octreótido , SomatostatinaRESUMEN
OBJECTIVE: The purpose of this study was to provide a database for making better decisions of the treatment of the irritable bowel syndrome (IBS) patient, and for improving the recognition of IBS in the Korean society. METHODS: The survey was conducted on 174 female college students in Korea from January 2017 to January 2018. Out of the total students surveyed, 160 questionnaires were analyzed after excluding 14 uncompleted questionnaires. RESULTS: Based on the survey, the prevalence of IBS among female college students in Korea was found to be 13.8%. Statistically, the results proved that there were significant differences in the stress levels between the students with IBS and non-IBS diagnosed by ROME IV criteria. Students with IBS had higher stress levels than students without the ailment. CONCLUSIONS: Based on this study, stress management related treatment should be actively considered. Furthermore, it is necessary to develop more efficient and updated guidelines for the treatment of IBS and new patient care programs.
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Femenino , Humanos , Síndrome del Colon Irritable , Corea (Geográfico) , Atención al Paciente , PrevalenciaRESUMEN
OBJECTIVE: South Korea made a list of potentially inappropriate medications (PIMs) for elderly patients in 2015 and has prompted medical professionals to prescribe proper medication by using the drug utilization review (DUR) system. It has been three years since the system was introduced, but related studies have rarely been conducted. This study aimed to evaluate the effect of the DUR system on the prescription of PIMs for elderly patients. METHODS: The data on the prescription of PIMs for elderly patients (≥ 65 years) who received medical treatment between March 1st and May 31st in 2015 (before introduction of the DUR system) and who received medical treatment between March 1st and May 31st in 2018 (after introduction of the DUR system) were retrospectively collected from electronic medical records. RESULTS: The prescriptions of PIMs decreased from 3,716 (7.7%) to 3,857 (6.9%) (p < 0.001). The prescription of escitalopram and paroxetine, among selective serotonin reuptake inhibitors, increased significantly, and that of short-acting benzodiazepines also increased significantly from 454 (0.93%) to 624 (1.2%). CONCLUSION: Prescription of PIMs for elderly patients significantly decreased (p < 0.001) after the DUR system was introduced. Further expanded studies of PIMs need to be conducted for the safety of elderly patients.
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Anciano , Humanos , Benzodiazepinas , Citalopram , Revisión de la Utilización de Medicamentos , Utilización de Medicamentos , Registros Electrónicos de Salud , Corea (Geográfico) , Paroxetina , Lista de Medicamentos Potencialmente Inapropiados , Prescripciones , Estudios Retrospectivos , Inhibidores Selectivos de la Recaptación de Serotonina , Centros de Atención TerciariaRESUMEN
OBJECTIVE: This study attempts to gauge the necessity of contraceptive education for women defecting from North Korea (NKDWs). METHODS: We conducted in-depth interviews with six NKDWs who had lived in the Republic of Korea (ROK) for more than three years, to understand the subjects' perceptions, experiences, and opinions regarding contraception. Thematic analyses were performed using qualitative data provided in the survey results. RESULTS: Before their defections from North Korea, none of the NKDWs had received any sex education. Loop is the only contraceptive method available to married women in ROK. After defection, NKDWs were provided information about contraceptive options available in China, but they could not fully understand this information. Furthermore, the information they received was not accurate. Thus, NKDWs had a high need for contraceptive sex education. As per our survey, their preferred education method was at least 3 lessons plus 1 : 1 counseling, as necessary. CONCLUSION: This study indicates that a necessity exists for development of a sex education program for NKDWs to enhance their contraceptive knowledge. Thus, government and health managers have a role to play in developing such a program.
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Femenino , Humanos , China , Anticoncepción , Anticonceptivos Orales , Consejo , República Popular Democrática de Corea , Educación , Métodos , República de Corea , Educación Sexual , Salud de la MujerRESUMEN
Acromegaly is a chronic disorder caused by excessive growth hormone (GH) secretion. In most cases, the excess GH originates from GH-producing pituitary adenomas. Surgery is the preferred first-line treatment for patients with acromegaly, but medical management is considered when the disease persists after surgery or in cases where patients refuse surgery or are poor candidates for surgery. Somatostatin analogues are commonly used to treat acromegaly. The Korean Endocrine Society and the Korean Neuroendocrine Study Group have developed a position statement for the use of somatostatin analogues in the medical treatment of acromegaly. This position statement is based on evidence from the current literature and expert opinions. In the case of discrepancies among expert opinions, the experts voted to determine the recommended approach.
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Humanos , Acromegalia , Testimonio de Experto , Hormona del Crecimiento , Octreótido , Neoplasias Hipofisarias , SomatostatinaRESUMEN
Acromegaly is a chronic disorder caused by excessive growth hormone (GH) secretion. In most cases, the excess GH originates from GH-producing pituitary adenomas. Surgery is the preferred first-line treatment for patients with acromegaly, but medical management is considered when the disease persists after surgery or in cases where patients refuse surgery or are poor candidates for surgery. Somatostatin analogues are commonly used to treat acromegaly. The Korean Endocrine Society and the Korean Neuroendocrine Study Group have developed a position statement for the use of somatostatin analogues in the medical treatment of acromegaly. This position statement is based on evidence from the current literature and expert opinions. In the case of discrepancies among expert opinions, the experts voted to determine the recommended approach.