Relationship between METS-IR and thyroid cancer incidence in Korea: a nationwide population-based study.

Background: Several previous studies found a positive relationship between metabolic syndrome (MetS) and thyroid cancer (TC) risk. However, there is no research that has studied the relationship between the metabolic score for insulin resistance (METS-IR), a novel surrogate marker for IR, and TC incidence. Thus, we designed this retrospective cohort study to evaluate the relationship between the incidence of TC and METS-IR. Method: We analyzed a cohort of 314,321 Korean adults aged over 40 years who participated in the National Health Screening Program from 2009 to 2010. The individuals were divided into four groups based on METS-IR quartiles. Follow-up was until the diagnosis of TC or death, or until December 31, 2019, if neither. The relationship between METS-IR and TC incidence was analyzed using the Cox proportional-hazards model with multi-variable adjustments. Results: A total of 4,137 participants (1.3%) were diagnosed with TC during a mean follow-up of 9.5 ± 1.5 years. The population with Q1 METS-IR scores showed higher disease-free probabilities than those with Q4 METS-IR scores (p <0.001). The hazard ratio (95% confidential interval) for TC incidence in Q2, Q3, and Q4 METS-IR value were 1.14 (1.05 to 1.25), 1.21 (1.11 to 1.33), and 1.30 (1.18 to 1.42) compared with Q1 of METS-IR, respectively. The incidence of TC tended to increase with increasing METS-IR values in the total population, especially the male population in the restricted cubic spline. In subgroup analysis, the TC risk was more pronounced in the subgroups under 65 and with a BMI < 25 kg/m2. Conclusion: METS-IR was positively correlated with TC incidence in Korea.

Dynamics of serum anion gaps with in-hospital mortality: Analysis of the multi-open databases.

BACKGROUND: Few studies have investigated the relationship between the anion gap, including the corrected anion gap, and patient mortality in intensive care units (ICUs) without restricting the analysis to specific diseases or medical specialties. Our primary objective was to investigate the association between the anion gap and ICU mortality using multiple open-access databases. METHODS: We identified 4229 subjects from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database, whose entries were from between 2008 and 2019. For each patient, the anion gap and corrected anion gap were calculated, and the study sample was divided into tertile groups (T) according to these levels. The association between the anion gap and in-hospital mortality was assessed using hazard ratios (HRs) and 95% confidence intervals (CIs) derived from a multivariable-adjusted Cox proportional hazards model. Besides MIMIC-IV, we also incorporated study samples from two other databases (MIMIC-III and electronic ICU) to calculate summary HRs using a random-effects meta-analysis. RESULTS: Within MIMIC-IV, 1015 patients (24%) died during an average follow-up period of 15.5 days. The fully adjusted HRs and 95% CIs for T2 and T3, relative to T1, were 1.31 (95% CI 1.08-1.58) and 1.54 (95% CI 1.24-1.90), respectively. When grouped by corrected anion gap, the results remained statistically significant. In the meta-analysis, the summary HRs and 95% CIs for T2 and T3 were 1.24 (95% CI 1.08-1.43) and 1.55 (95% CI 1.33-1.82), respectively. CONCLUSIONS: Both the anion gap and corrected anion gap were associated with in-hospital mortality regardless of specific diseases or medical specialties.

Association between Surrogate Markers of Insulin Resistance and the Incidence of Colorectal Cancer in Korea: A Nationwide Population-Based Study.

Background: Insulin resistance (IR) is assessed using surrogate markers such as the triglyceride-glucose (TyG) index, the triglyceride-to-high-density lipoprotein cholesterol (TG/HDL-C) ratio, and the metabolic score for IR (METS-IR). Limited studies investigated their association with colorectal cancer (CRC) incidence, and no research has been conducted on their association with the METS-IR. Method: This study used claims data from the Korean National Health Insurance Service, analyzing a cohort of 314,141 Koreans aged over 40 who participated in the National Health Screening Program from 2009 to 2010. The follow-up period was extended until 31 December 2019. Participants were divided into four groups based on quartiles (Q1-Q4) of the markers. Results: All surrogate markers of IR had sequentially statistically lower disease-free probabilities from Q1 to Q4. The Cox proportional hazard model demonstrated statistically significant positive associations between CRC incidence and Q3 and Q4 of the TyG index, as well as Q3 and Q4 of the TG/HDL-C ratio and Q4 of the METS-IR. The constrained cubic spline method revealed a nonlinear, positive dose-response relationship between the TyG index and the METS-IR in relation to CRC incidence. Conclusions: In conclusion, the TyG index, TG/HDL-C ratio, and METS-IR were positively correlated with CRC incidence in Koreans.

The Impact of Withdrawing or Withholding of Life-Sustaining Treatment: A Nationwide Case-Control Study Based on Medical Cost Analysis.

This study measured the impact of the Decisions on Life-Sustaining Treatment Act by analyzing medical cost data from the National Health Insurance Service-National Sample Cohort. After identifying the patients who died in 2018 and 2019, the case and control groups were set using the presence of codes for managing the implementation of life-sustaining treatment with propensity score matching. Regarding medical costs, the case group had higher medical costs for all periods before death. The subdivided items of medical costs with significant differences were as follows: consultation, admission, injection, laboratory tests, imaging and radiation therapy, nursing hospital bundled payment, and special equipment. This study is the first analysis carried out to measure the impact of the Decision on Life-Sustaining Treatment Act through a cost analysis and to refute the common expectation that patients who decided to withhold or withdraw life-sustaining treatment would go through fewer unnecessary tests or treatments.

Associations of depressive symptoms with lower extremity function and balance in Korean older adults.

OBJECTIVES: The relationship of depressive symptoms to lower extremity function and balance, especially in older adults without a depression diagnosis, remains unclear. Therefore, our study analyzed this relationship using a large sample of Korean older adults. METHODS: We used data from the Korean National Health Insurance Service's Health Screening Program database. Individuals aged 66 years who had undergone the National Screening Program for Transitional Ages in Korea and were without a diagnosis of depressive disorder were included. The lower extremity function and balance were evaluated using 2 physical tests, while depressive symptoms were assessed using a 3-question survey. Multivariable-adjusted logistic regression analysis was used to examine the association between depressive symptoms and lower extremity function and balance. RESULTS: Among 66,041 individuals, those with depressive symptoms showed significantly higher rates of abnormal lower extremity function and abnormal balance. The adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for the association of depressive symptoms to abnormal lower extremity function and abnormal balance were (aOR, 1.34; 95% CI, 1.25 to 1.44) and (aOR, 1.38; 95% CI, 1.29 to 1.48), respectively. Assessment of the relationship based on depressive symptom scores revealed that higher scores were associated with higher aORs (p for trend <0.001). Subgroup analyses further confirmed this relationship, especially among patients with cerebrovascular disease or dementia. CONCLUSIONS: This study revealed an association between depressive symptoms and the abnormal lower extremity function and balance of 66-year-old individuals without a diagnosis of depressive disorder.

Applicable Machine Learning Model for Predicting Contrast-induced Nephropathy Based on Pre-catheterization Variables.

Objective Contrast agents used for radiological examinations are an important cause of acute kidney injury (AKI). We developed and validated a machine learning and clinical scoring prediction model to stratify the risk of contrast-induced nephropathy, considering the limitations of current classical and machine learning models. Methods This retrospective study included 38,481 percutaneous coronary intervention cases from 23,703 patients in a tertiary hospital. We divided the cases into development and internal test sets (8:2). Using the development set, we trained a gradient boosting machine prediction model (complex model). We then developed a simple model using seven variables based on variable importance. We validated the performance of the models using an internal test set and tested them externally in two other hospitals. Results The complex model had the best area under the receiver operating characteristic (AUROC) curve at 0.885 [95% confidence interval (CI) 0.876-0.894] in the internal test set and 0.837 (95% CI 0.819-0.854) and 0.850 (95% CI 0.781-0.918) in two different external validation sets. The simple model showed an AUROC of 0.795 (95% CI 0.781-0.808) in the internal test set and 0.766 (95% CI 0.744-0.789) and 0.782 (95% CI 0.687-0.877) in the two different external validation sets. This was higher than the value in the well-known scoring system (Mehran criteria, AUROC=0.67). The seven precatheterization variables selected for the simple model were age, known chronic kidney disease, hematocrit, troponin I, blood urea nitrogen, base excess, and N-terminal pro-brain natriuretic peptide. The simple model is available at http://52.78.230.235:8081/Conclusions We developed an AKI prediction machine learning model with reliable performance. This can aid in bedside clinical decision making.

Alcohol consumption and the risk of liver disease: a nationwide, population-based study.

Introduction: Although most patients with alcohol-related liver disease (ALD) have a history of prolonged and heavy drinking, there is no clear threshold defining the level of alcohol consumption that leads to ALD. We aimed to evaluate the correlation between average alcohol consumption and the risk of liver disease and to determine the threshold for clinically significant alcohol consumption. Materials and methods: Using the Korean National Health Insurance database, we identified participants who underwent a health-screening program in 2010 and 2011 and retrospectively analyzed their data until 2019. To diagnose and categorize the extracted participants, we used the International Classification of Diseases version 10 and Fatty Liver Index. The primary outcome was to determine the incidence of newly diagnosed liver-related diseases during the observation period and compare the incidence of liver-related diseases among non-drinkers and drinkers based on the amount of alcohol consumption. Results: A total of 53,006 patients were enrolled and followed-up for a median of 8.4 years, during which 1,509 cases of liver-related diseases occurred. The participants were divided into five groups: no alcohol consumption (n = 31,359), 1st quartile (n = 5,242), 2nd quartile (n = 5,704), 3rd quartile (n = 5,337), and 4th quartile (n = 5,364). The corresponding number of glasses of alcohol consumed per week for each quantile (Q1, Q2, Q3, and Q4) was labeled 2.5 ± 1.1 standard units (1 standard unit = 8 g alcohol), 5.4 ± 1.9 standard units, 11.5 ± 3.3 standard units, and 27.9 ± 18.2 standard units, respectively. Compared with non-drinkers, the risk of liver-related disease was found to be higher in Q1 drinkers (adjusted hazard ratio [aHR], 1.09; 95% CI, 0.90-1.33), Q2 drinkers (aHR, 1. 10; 95% CI, 0.91-1.32), Q3 drinkers (aHR, 1.33; 95% CI, 1.11-1.59), and Q4 drinkers (aHR, 1.47; 95% CI, 1.24-1.75). Conclusion: We report that our study has shown that drinking more than 11.5 ± 3.3 standard units/week (92 ± 26.4 g/week) significantly increases the risk of developing liver-related diseases. Therefore, as a preventive measure to reduce the risk of developing liver disease, alcohol consumption should be limited beyond traditionally recommended levels.

Association between Neck Circumference and Chronic Kidney Disease in Korean Adults in the 2019-2021 Korea National Health and Nutrition Examination Survey.

Chronic kidney disease (CKD) is a major public health problem and a leading cause of cardiovascular disease and death. Early recognition and management of CKD risk factors are necessary to prevent its onset and progression. Neck circumference (NC) is a non-invasive and easily accessible anthropometric measure associated with central obesity and subcutaneous fat accumulation in the upper body. Our study aimed to explore the relationship between NC and the prevalence of CKD using data from the nationally representative Korea National Health and Nutrition Examination Survey (2019-2021). We analyzed data from 10,219 subjects (age > 19 years, no missing values). CKD was defined as an estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2. Logistic regression analysis was performed, which revealed a significant association between NC and CKD prevalence even after adjusting for confounding factors, both when NC was considered a continuous variable (OR [95% CI], 1.11 [1.03-1.19]) and in quartiles (Q1 as reference; Q2 OR [95% CI], 1.23 [0.91-1.67]; Q3 OR [95% CI], 1.59 [1.16-2.18]; Q4 OR [95% CI], 1.70 [1.16-2.50]). Our findings suggest that NC could be a simple and effective anthropometric measurement for identifying individuals at risk for CKD.

Chronic periodontitis and risk of cerebro-cardiovascular diseases among older Koreans.

BACKGROUND AND OBJECTIVE: There is a relative lack of evidence from observational studies of older populations investigating the association between chronic periodontitis and cerebro-cardiovascular diseases. Accordingly, we investigated the risk of cerebro-cardiovascular diseases according to the severity of chronic periodontitis among older adults. METHODS: Data on older adults with chronic periodontitis were extracted from the Korea National Health Insurance Service-Senior Cohort Database using diagnosis codes and dental procedures. Participants were divided into two exposure groups. Among 46 737 participants eligible for inclusion, 21 905 (46.9%) had newly diagnosed mild chronic periodontitis, and 24 832 (53.1%) had newly diagnosed severe chronic periodontitis. To determine the risk of cerebro-cardiovascular diseases, including ischemic stroke, haemorrhagic stroke, and myocardial infarction, multivariable-adjusted Cox proportional hazards modelling was used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) in this retrospective follow-up study. RESULTS: A total of 3453 (7.4%) outcomes were identified during a mean follow-up of 6.1 years. Kaplan-Meier analysis revealed that disease-free probability was lower in the severe group than in the mild group (log-rank P < .001). In the multivariable-adjusted model, the HR for cerebro-cardiovascular diseases in the severe group (relative to the mild group) was 1.16 (95% CI: 1.09-1.25). In individual outcome analysis, ischemic stroke and myocardial infarction were associated with chronic periodontitis severity, but haemorrhagic stroke was not. CONCLUSION: The severity of chronic periodontitis could be associated with the risk of cerebro-cardiovascular diseases in older adults.

Association between statin compliance and risk of dementia among patients with chronic periodontitis.

OBJECTIVES: We investigated the association between statin compliance and the risk of dementia among patients with chronic periodontitis. METHODS: Chronic periodontitis patients were extracted from the National Health Insurance Service-Health Screening Cohort Database, covering the period from 2002 to 2019. A total of 22,089 subjects were included in the study and divided into three groups based on their compliance with statin administration. The Cox proportional hazard model was utilized to calculate hazard ratios and 95% confidence intervals for analyzing the risk of dementia. RESULTS: In the restricted cubic spline of the multivariable-adjusted model, the hazard ratio for dementia decreased prominently with a higher medication possession ratio. The hazard ratios and 95% confidence intervals in the multivariable-adjusted model for dementia risk in the middle and high medication possession ratio groups, compared to the low medication possession ratio group, were confirmed as 0.70 (0.57-0.87) and 0.57 (0.45-0.72), respectively. In the subgroup analysis, a significant association between dementia and good statin medication possession ratio was found in both severe periodontitis and mild periodontitis cases. CONCLUSIONS: Our findings suggest that a group of patients with chronic periodontitis who maintain good statin compliance are associated with a reduced risk of dementia.

Risk of chronic periodontitis in patients with obstructive sleep apnea in Korea: a nationwide retrospective cohort study.

OBJECTIVES: The aim of this study was to determine whether the development of chronic periodontitis is more likely among patients who have been newly diagnosed with obstructive sleep apnea (OSA) through an analysis of representative data from the general population. METHODS: A nationwide, population-based, retrospective cohort study was conducted using patient records from the Korean National Health Insurance Service database. For the period 2004-2019, patient data were categorized into 2 groups: a diagnosis of OSA (747 subjects) and no diagnosis of OSA (1,494 subjects). Subsequently, 1:2 propensity score matching was performed to ensure the homogeneity of the 2 groups. To analyze the risk of incident chronic periodontitis, a Cox proportional-hazards model was used to calculate hazard ratios (HRs) with 95% confidence intervals (CIs). RESULTS: In the Kaplan-Meier curve, the disease-free probability was significantly lower in the OSA group than in the non-OSA group (p for log-rank test=0.001). The crude HR for the association between OSA and chronic periodontitis was 1.29 (95% CI, 1.16 to 1.43). The multivariable-adjusted HR was calculated at 1.28 (95% CI, 1.15 to 1.42). CONCLUSIONS: This study confirmed a relationship between OSA and chronic periodontitis. Therefore, OSA patients require oral care to prevent the progression of chronic periodontitis from mild to severe.

Association between depressive mood and chronic periodontitis among senior residents using the National Health Insurance Service-Senior Cohort Database.

BACKGROUND: Bacteria involved in chronic periodontal disease induce inflammatory cytokines. These cytokines can enter the brain through systemic circulation and cause depression. In this study, we investigated the association between depressed mood and chronic periodontitis in older adults in Korea. METHODS: This study used data from the Life-changing Period Health Checkup (2007-2008), performed only at 66 years of age, which is available from the National Health Insurance Service-Senior Cohort Database. The depressed mood status was evaluated by three questions in the mental health examination. The definition of chronic periodontitis was determined based on the diagnosis and treatment codes for chronic periodontitis. Based on the three questions, we investigated the association between depressive mood and chronic periodontal disease by dividing the study population into 9622 depressed mood subjects (DMS) and 9091 non-depressed mood subjects (NDMS). Multivariable-adjusted logistic regression analysis was performed, and odds ratios (ORs) with 95% confidence intervals (95% CIs) were presented. RESULTS: Among the NDMS, 5390 patients with chronic periodontitis were identified, and among the DMS, 5964 patients with chronic periodontitis were identified. The crude OR (95% CI) for chronic periodontitis in DMS compared to NDMS was 1.12 (1.06-1.19). The adjusted OR (95% CI) for chronic periodontitis was 1.12 (1.06-1.19). As a result of confirming the effect of sex and comorbidity on the association between depressed mood and chronic periodontitis, a significant association was observed for women at 1.15 (1.07-1.25). In addition, the adjusted OR (95% CI) for depressive mood and chronic periodontitis was 1.15 (1.07-1.25) for patients with hypertension, 1.13 (1.03-1.25) for patients with diabetes, 1.12 (1.02-1.22) for patients with dyslipidemia, and 1.18 (1.04-1.34) for patients with heart disease. CONCLUSIONS: This study confirmed the relationship between depressed mood and chronic periodontitis in older adults. Therefore, education to strengthen the emotional management of older adults, especially with respect to depression, would play an auxiliary role in preventing and treating periodontitis.

Relationship between Dermatitis and Joint Replacement: A Nationwide Population-Based Cohort Study.

Background: Joint replacement is an important surgery for replacing a damaged joint with prosthesis. Implants used for joint replacement are made of metal, plastic, and ceramic. Skin reactions, such as dermatitis, can occur due to a hypersensitivity to these external substances. Aims: The aim of this study was to find the relationship between joint replacement and dermatitis. Methods: A nationwide population-based retrospective cohort study was performed using the National Health Insurance Service Database of the Republic of Korea. A total of 40,218 patients who underwent joint replacement were enrolled as the operation group and 40,218 controls were also enrolled. A cox proportional hazard regression model, and Fine and Gray regression model were used to compare the risk of dermatitis between the two groups. Results: Dermatitis occurred in 9.2% of the operation group and 9.1% of the control group, and no statistical difference was observed between the two groups. According to the Cox proportional hazard regression model, and Fine and Gray regression model, the risk of dermatitis did not increase in the operation group compared to that in the control group. However, the risk of dermatitis increased 1.20-fold in the operation group compared to that in the control group aged <60 years according to the Fine and Gray regression model (95% confidence index (CI) = 1.05-1.37, P = 0.0008). Conversely, no difference in dermatitis risk was observed between the two groups aged ≥60 years. Conclusions: We found that the risk of dermatitis increased after joint replacement in those aged <60 years.

Risk of dementia according to the severity of chronic periodontitis in Korea: a nationwide retrospective cohort study.

OBJECTIVES: We investigated the risk of dementia in older adults with chronic periodontitis according to the severity of periodontitis. METHODS: Data on patients with chronic periodontitis were extracted from the National Health Insurance Service-Senior cohort database from 2002 to 2014. Among 52,728 subjects eligible for inclusion, 11,953 subjects had newly diagnosed mild chronic periodontitis (MCP), and 40,775 subjects had newly diagnosed severe chronic periodontitis (SCP). Two 1:1 propensity score matched cohorts were created with 8,624 patients each in the MCP and SCP groups. To analyze the risk of dementia, a Cox proportional-hazard model was used to calculate hazard ratios with 95% confidence intervals (CIs). RESULTS: In the Kaplan-Meier curve, the disease-free probability was significantly lower in the SCP group than in the MCP group (p for log-rank=0.001). In the multivariable-adjusted model, the HR for the occurrence of dementia in the SCP group compared to the MCP group was 1.15 (95% CI, 1.04 to 1.27; p=0.009). A subgroup analysis revealed a significant association between dementia and the severity of periodontitis, especially in subjects who were male, aged ≥70 years, and had comorbidities. CONCLUSIONS: Reducing the severity of chronic periodontitis can help to reduce the risk of dementia. Therefore, it is necessary to aggressively conduct early dementia-prevention programs for males under the age of 70 that include dental health to prevent the progression of periodontitis from mild to severe.

The risk of stroke according to statin medication compliance in older people with chronic periodontitis: an analysis using the Korea National Health Insurance Service-Senior Cohort Database.

OBJECTIVES: We investigated the risk of stroke according to statin medication compliance in older people with chronic periodontitis. METHODS: Chronic periodontitis patients were extracted from the National Health Insurance Service-Senior Cohort Database from 2002 to 2014. Among 255,056 chronic periodontitis patients, 41,412 patients with statin prescriptions for 28 days or more were included. The study population was divided into the top 25% of medication compliance group (TSG) and the lower 25% of medication compliance group (BSG). After 1:1 propensity score matching was performed, the final number of patients in the BSG and TSG was 6,172 each. To analyze the risk of stroke, a Cox proportional hazard model was performed to calculate hazard ratios (HRs) and 95% confidence intervals (95% CIs) after adjusting for age, sex, income level, hypertension, diabetes, and Charlson comorbidity index. RESULTS: In the Kaplan-Meier curve, the disease-free probability was prominently lower in the BSG than in the TSG (p for log-rank= 0.001). The HR in the multivariable-adjusted model for stroke occurrence in the TSG compared to the BSG was 0.79 (95% CI, 0.67 to 0.92; p= 0.002). Subgroup analyses showed significant associations between compliance to statin medication and stroke, especially in female, people 85 years or older, and patients with comorbidities. CONCLUSIONS: Increasing compliance to statins may reduce stroke risk in older adults with chronic periodontitis. Therefore, in order to increase medication compliance among older people with chronic periodontitis, it is necessary for medical staff to make efforts to provide effective medication guidance.

Improved Erythrocyte Deformability Induced by Sodium-Glucose Cotransporter 2 Inhibitors in Type 2 Diabetic Patients.

PURPOSE: Sodium-glucose cotransporter 2 (SGLT-2) inhibitors are antidiabetic drugs that improve cardiovascular outcomes. Hemoglobin and hematocrit values increase after SGLT-2 inhibitor administration. Although these factors increase blood viscosity and the risk of cardiovascular disease, SGLT-2 inhibitors have protective effects on the cardiovascular system. The mechanisms for this paradoxical phenomenon remain unclear, and the effect of SGLT-2 inhibitors on hemorheology has not been studied. METHODS: We evaluated the hemorheological parameters of 63 patients of whom 38 received metformin with a dipeptidyl peptidase 4 (DPP-4) inhibitor, while 25 received metformin with SGLT-2 inhibitor. Blood viscosity was measured using a cone-and-plate viscometer, erythrocyte aggregation was measured using a modified erythrocyte sedimentation rate method, and erythrocyte membrane fluctuation was measured as deformability, using a diffraction optical tomography. RESULTS: Both blood viscosity and erythrocyte aggregation increased in the SGLT-2 inhibitor group, although erythrocyte deformability was significantly improved compared with that of the DPP-4 inhibitor group (DPP-4 inhibitor 43.71 ± 5.13 nm; SGLT-2 inhibitor 53.88 ± 4.88 nm; p < 0.001). When the two groups were compared after propensity score matching, no differences in blood viscosity at high shear rates and erythrocyte aggregation were observed, although erythrocyte deformability was significantly improved in the SGLT-2 inhibitor group (DPP-4 inhibitor 45.01 ± 5.28 nm; SGLT-2 inhibitor 53.14 ± 4.72 nm; p = 0.001). CONCLUSION: This study demonstrates that erythrocyte deformability was improved in the SGLT-2 inhibitor group compared with that in the DPP-4 inhibitor group. This improvement in erythrocyte deformability is expected to have a protective effect on the cardiovascular system.

Electrocardiographic biomarker based on machine learning for detecting overt hyperthyroidism.

Aims: Although overt hyperthyroidism adversely affects a patient's prognosis, thyroid function tests (TFTs) are not routinely conducted. Furthermore, vague symptoms of hyperthyroidism often lead to hyperthyroidism being overlooked. An electrocardiogram (ECG) is a commonly used screening test, and the association between thyroid function and ECG is well known. However, it is difficult for clinicians to detect hyperthyroidism through subtle ECG changes. For early detection of hyperthyroidism, we aimed to develop and validate an electrocardiographic biomarker based on a deep learning model (DLM) for detecting hyperthyroidism. Methods and results: This multicentre retrospective cohort study included patients who underwent ECG and TFTs within 24 h. For model development and internal validation, we obtained 174 331 ECGs from 113 194 patients. We extracted 48 648 ECGs from 33 478 patients from another hospital for external validation. Using 500 Hz raw ECG, we developed a DLM with 12-lead, 6-lead (limb leads, precordial leads), and single-lead (lead I) ECGs to detect overt hyperthyroidism. We calculated the model's performance on the internal and external validation sets using the area under the receiver operating characteristic curve (AUC). The AUC of the DLM using a 12-lead ECG was 0.926 (0.913-0.94) for internal validation and 0.883(0.855-0.911) for external validation. The AUC of DLMs using six and a single-lead were in the range of 0.889-0.906 for internal validation and 0.847-0.882 for external validation. Conclusion: We developed a DLM using ECG for non-invasive screening of overt hyperthyroidism. We expect this model to contribute to the early diagnosis of diseases and improve patient prognosis.

Effects of osmolality and solutes on the morphology of red blood cells according to three-dimensional refractive index tomography.

Phosphate-buffered saline (PBS) and Alsever's solution (AS) are frequently used as media in blood-related studies, while 0.9% normal saline (NS) is frequently used in transfusion medicine. Despite the frequent use, the effects of these solutions on the shape and volume of red blood cells (RBCs) have not been reported. We collected blood samples from five healthy adults and used three-dimensional refractive index tomography to investigate the changes in the morphology of RBCs caused by changes in osmolality and solutes at the single-cell level. After diluting 2 µL of RBCs 200-fold with each solution (PBS, AS, and 0.9% NS), 40 randomly selected RBCs were microscopically observed. RBC shape was measured considering sphericity, which is a dimensionless quantity ranging from 0 (flat) to 1 (spherical). RBCs in plasma or AS showed a biconcave shape with a small sphericity, whereas those in 0.9% NS or PBS showed a spherical shape with a large sphericity. Moreover, we confirmed that sodium chloride alone could not elicit the biconcave shape of RBCs, which could be maintained only in the presence of an osmotic pressure-maintaining substance, such as glucose or mannitol. Although 0.9% NS solution is one of the most commonly used fluids in hematology and transfusion medicine, RBCs in 0.9% NS or PBS are not biconcave. Therefore, as the debate on the use of NS continues, future clinical studies or applications should consider the effect of glucose or mannitol on the shape of RBCs.

Characterization of Medication Trends for Chronic Kidney Disease: Mineral and Bone Disorder Treatment Using Electronic Health Record-Based Common Data Model.

Chronic kidney disease-mineral bone disorder (CKD-MBD) is the most common complication in CKD patients. Although there is a consensus on treatment guidelines for CKD-MBD, it remains uncertain whether these treatment recommendations reflect actual practice. Therefore, the aim of this study was to investigate the CKD-MBD medication trend in real-world practice. This was a retrospective and observational study using a 12-year period database transformed into a common data model from three tertiary university hospitals. Study populations were subjects initially diagnosed as CKD. The date of diagnosis was designated as the index date. New patients were categorized year to year from 2008 to 2019 with a fixed observation period of 365 days to check the prescription of CKD-MBD medications including calcium-containing phosphate binder, noncalcium-containing phosphate binder, aluminium hydroxide, vitamin D receptor activator (VDRA), and cinacalcet. The numbers of CKD patients in the three hospitals were 7555, 2424, and 5351, respectively. The proportion for patients with CKD-MBD medication prescription decreased yearly regardless of hospital and CKD stage (p for trend < 0.05). The use of aluminium hydroxide disappeared steadily while the use of VDRA increased annually in all settings. Despite these changes in prescription patterns, the mean value for CKD-MBD-related serologic markers was almost within target range. The proportion of the population within the target value was not significantly changed. Irrespective of hospital and CKD stage, similar trends of prescription for CKD-MBD medications were observed in real-world practice. Further research with a distributed network study may be helpful to understand medication trends in CKD-MBD treatment.

Microfluidic Single-Cell Proteomics Assay Chip: Lung Cancer Cell Line Case Study.

Cancer is a dynamic disease involving constant changes. With these changes, cancer cells become heterogeneous, resulting in varying sensitivity to chemotherapy. The heterogeneity of cancer cells plays a key role in chemotherapy resistance and cancer recurrence. Therefore, for effective treatment, cancer cells need to be analyzed at the single-cell level by monitoring various proteins and investigating their heterogeneity. We propose a microfluidic chip for a single-cell proteomics assay that is capable of analyzing complex cellular signaling systems to reveal the heterogeneity of cancer cells. The single-cell assay chip comprises (i) microchambers (n = 1376) for manipulating single cancer cells, (ii) micropumps for rapid single-cell lysis, and (iii) barcode immunosensors for detecting nine different secretory and intracellular proteins to reveal the correlation among cancer-related proteins. Using this chip, the single-cell proteomics of a lung cancer cell line, which may be easily masked in bulk analysis, were evaluated. By comparing changes in the level of protein secretion and heterogeneity in response to combinations of four anti-cancer drugs, this study suggests a new method for selecting the best combination of anti-cancer drugs. Subsequent preclinical and clinical trials should enable this platform to become applicable for patient-customized therapies.