Objective: Research on fetal mortality due to congenital anomalies is insufficient, particularly that utilizing data specific to South Korea. Thus, we aimed to investigate the characteristics and risk factors for fetal death due to congenital anomalies in Korea. Methods: Fetal deaths registered from 2009-2020 with Statistics Korea were assessed. Fetal charac teristics included gestational age, body weight, sex, and multiple fetuses, while maternal characteri stics included age, educational level, nationality, and place of residence. Risk factors for fetal death were analyzed using simple comparison and logistic regression. Changes in fetal mortality by year were examined using Poisson regression analysis. Results: A total of 37,928 fetal deaths occurred, among which 3,758 were classified as congenital anomaly, 710 as non-congenital anomaly, and 33,460 as unknown cause. Fetal mortality for gesta tional weeks 20 to 27 and ≥28 were 75.3% and 24.7%, respectively. The proportion of congenital anomalies among fetal deaths during these gestational age periods is 11.3% and 5.8%. Multiple fetuses, maternal age of <20 years or ≥40 years were identified as risk factors for fetal death due to congenital anomalies. Among the top 30 causes, covering 97.5% of all deaths, unspecified causes were 88.2%, congenital malformations 8.2%, and other causes 2.0%, respectively. Fetal mortality and deaths from congenital anomalies exhibited downward trends. Conclusion Fetal deaths due to congenital anomalies showed a decreasing trend, but the risks, such as multiple fetuses and advanced maternal age are increasing in Korea. Therefore, careful monitoring of fetal deaths due to congenital anomalies are essential.

Objective: Research on fetal mortality due to congenital anomalies is insufficient, particularly that utilizing data specific to South Korea. Thus, we aimed to investigate the characteristics and risk factors for fetal death due to congenital anomalies in Korea. Methods: Fetal deaths registered from 2009-2020 with Statistics Korea were assessed. Fetal charac teristics included gestational age, body weight, sex, and multiple fetuses, while maternal characteri stics included age, educational level, nationality, and place of residence. Risk factors for fetal death were analyzed using simple comparison and logistic regression. Changes in fetal mortality by year were examined using Poisson regression analysis. Results: A total of 37,928 fetal deaths occurred, among which 3,758 were classified as congenital anomaly, 710 as non-congenital anomaly, and 33,460 as unknown cause. Fetal mortality for gesta tional weeks 20 to 27 and ≥28 were 75.3% and 24.7%, respectively. The proportion of congenital anomalies among fetal deaths during these gestational age periods is 11.3% and 5.8%. Multiple fetuses, maternal age of <20 years or ≥40 years were identified as risk factors for fetal death due to congenital anomalies. Among the top 30 causes, covering 97.5% of all deaths, unspecified causes were 88.2%, congenital malformations 8.2%, and other causes 2.0%, respectively. Fetal mortality and deaths from congenital anomalies exhibited downward trends. Conclusion Fetal deaths due to congenital anomalies showed a decreasing trend, but the risks, such as multiple fetuses and advanced maternal age are increasing in Korea. Therefore, careful monitoring of fetal deaths due to congenital anomalies are essential.

Background/Aims: Shifts in the gut microbiota and metabolites are interrelated with liver cirrhosis progression and complications. However, causal relationships have not been evaluated comprehensively. Here, we identified complication-dependent gut microbiota and metabolic signatures in patients with liver cirrhosis. Methods: Microbiome taxonomic profiling was performed on 194 stool samples (52 controls and 142 cirrhosis patients) via V3-V4 16S rRNA sequencing. Next, 51 samples (17 controls and 34 cirrhosis patients) were selected for fecal metabolite profiling via gas chromatography mass spectrometry and liquid chromatography coupled to timeof-flight mass spectrometry. Correlation analyses were performed targeting the gut-microbiota, metabolites, clinical parameters, and presence of complications (varices, ascites, peritonitis, encephalopathy, hepatorenal syndrome, hepatocellular carcinoma, and deceased). Results: Veillonella bacteria, Ruminococcus gnavus, and Streptococcus pneumoniae are cirrhosis-related microbiotas compared with control group. Bacteroides ovatus, Clostridium symbiosum, Emergencia timonensis, Fusobacterium varium, and Hungatella_uc were associated with complications in the cirrhosis group. The areas under the receiver operating characteristic curve (AUROCs) for the diagnosis of cirrhosis, encephalopathy, hepatorenal syndrome, and deceased were 0.863, 0.733, 0.71, and 0.69, respectively. The AUROCs of mixed microbial species for the diagnosis of cirrhosis and complication were 0.808 and 0.847, respectively. According to the metabolic profile, 5 increased fecal metabolites in patients with cirrhosis were biomarkers (AUROC >0.880) for the diagnosis of cirrhosis and complications. Clinical markers were significantly correlated with the gut microbiota and metabolites. Conclusions Cirrhosis-dependent gut microbiota and metabolites present unique signatures that can be used as noninvasive biomarkers for the diagnosis of cirrhosis and its complications.

Background: Atherogenic dyslipidemia, which is frequently associated with type 2 diabetes (T2D) and insulin resistance, contributes to the development of vascular complications. Statin therapy is the primary approach to dyslipidemia management in T2D, however, the role of non-statin therapy remains unclear. Ezetimibe reduces cholesterol burden by inhibiting intestinal cholesterol absorption. Fibrates lower triglyceride levels and increase high-density lipoprotein cholesterol (HDL-C) levels via peroxisome proliferator- activated receptor alpha agonism. Therefore, when combined, these drugs effectively lower non-HDL-C levels. Despite this, few clinical trials have specifically targeted non-HDL-C, and the efficacy of triple combination therapies, including statins, ezetimibe, and fibrates, has yet to be determined. Methods: This is a multicenter, prospective, randomized, open-label, active-comparator controlled trial involving 3,958 eligible participants with T2D, cardiovascular risk factors, and elevated non-HDL-C (≥100 mg/dL). Participants, already on moderate-intensity statins, will be randomly assigned to either Ezefeno (ezetimibe/fenofibrate) addition or statin dose-escalation. The primary end point is the development of a composite of major adverse cardiovascular and diabetic microvascular events over 48 months. Conclusion This trial aims to assess whether combining statins, ezetimibe, and fenofibrate is as effective as, or possibly superior to, statin monotherapy intensification in lowering cardiovascular and microvascular disease risk for patients with T2D. This could propose a novel therapeutic approach for managing dyslipidemia in T2D.

Objective: Research on fetal mortality due to congenital anomalies is insufficient, particularly that utilizing data specific to South Korea. Thus, we aimed to investigate the characteristics and risk factors for fetal death due to congenital anomalies in Korea. Methods: Fetal deaths registered from 2009-2020 with Statistics Korea were assessed. Fetal charac teristics included gestational age, body weight, sex, and multiple fetuses, while maternal characteri stics included age, educational level, nationality, and place of residence. Risk factors for fetal death were analyzed using simple comparison and logistic regression. Changes in fetal mortality by year were examined using Poisson regression analysis. Results: A total of 37,928 fetal deaths occurred, among which 3,758 were classified as congenital anomaly, 710 as non-congenital anomaly, and 33,460 as unknown cause. Fetal mortality for gesta tional weeks 20 to 27 and ≥28 were 75.3% and 24.7%, respectively. The proportion of congenital anomalies among fetal deaths during these gestational age periods is 11.3% and 5.8%. Multiple fetuses, maternal age of <20 years or ≥40 years were identified as risk factors for fetal death due to congenital anomalies. Among the top 30 causes, covering 97.5% of all deaths, unspecified causes were 88.2%, congenital malformations 8.2%, and other causes 2.0%, respectively. Fetal mortality and deaths from congenital anomalies exhibited downward trends. Conclusion Fetal deaths due to congenital anomalies showed a decreasing trend, but the risks, such as multiple fetuses and advanced maternal age are increasing in Korea. Therefore, careful monitoring of fetal deaths due to congenital anomalies are essential.

Objective: Research on fetal mortality due to congenital anomalies is insufficient, particularly that utilizing data specific to South Korea. Thus, we aimed to investigate the characteristics and risk factors for fetal death due to congenital anomalies in Korea. Methods: Fetal deaths registered from 2009-2020 with Statistics Korea were assessed. Fetal charac teristics included gestational age, body weight, sex, and multiple fetuses, while maternal characteri stics included age, educational level, nationality, and place of residence. Risk factors for fetal death were analyzed using simple comparison and logistic regression. Changes in fetal mortality by year were examined using Poisson regression analysis. Results: A total of 37,928 fetal deaths occurred, among which 3,758 were classified as congenital anomaly, 710 as non-congenital anomaly, and 33,460 as unknown cause. Fetal mortality for gesta tional weeks 20 to 27 and ≥28 were 75.3% and 24.7%, respectively. The proportion of congenital anomalies among fetal deaths during these gestational age periods is 11.3% and 5.8%. Multiple fetuses, maternal age of <20 years or ≥40 years were identified as risk factors for fetal death due to congenital anomalies. Among the top 30 causes, covering 97.5% of all deaths, unspecified causes were 88.2%, congenital malformations 8.2%, and other causes 2.0%, respectively. Fetal mortality and deaths from congenital anomalies exhibited downward trends. Conclusion Fetal deaths due to congenital anomalies showed a decreasing trend, but the risks, such as multiple fetuses and advanced maternal age are increasing in Korea. Therefore, careful monitoring of fetal deaths due to congenital anomalies are essential.

Objective: Research on fetal mortality due to congenital anomalies is insufficient, particularly that utilizing data specific to South Korea. Thus, we aimed to investigate the characteristics and risk factors for fetal death due to congenital anomalies in Korea. Methods: Fetal deaths registered from 2009-2020 with Statistics Korea were assessed. Fetal charac teristics included gestational age, body weight, sex, and multiple fetuses, while maternal characteri stics included age, educational level, nationality, and place of residence. Risk factors for fetal death were analyzed using simple comparison and logistic regression. Changes in fetal mortality by year were examined using Poisson regression analysis. Results: A total of 37,928 fetal deaths occurred, among which 3,758 were classified as congenital anomaly, 710 as non-congenital anomaly, and 33,460 as unknown cause. Fetal mortality for gesta tional weeks 20 to 27 and ≥28 were 75.3% and 24.7%, respectively. The proportion of congenital anomalies among fetal deaths during these gestational age periods is 11.3% and 5.8%. Multiple fetuses, maternal age of <20 years or ≥40 years were identified as risk factors for fetal death due to congenital anomalies. Among the top 30 causes, covering 97.5% of all deaths, unspecified causes were 88.2%, congenital malformations 8.2%, and other causes 2.0%, respectively. Fetal mortality and deaths from congenital anomalies exhibited downward trends. Conclusion Fetal deaths due to congenital anomalies showed a decreasing trend, but the risks, such as multiple fetuses and advanced maternal age are increasing in Korea. Therefore, careful monitoring of fetal deaths due to congenital anomalies are essential.