Ki Hoon Ahn
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View article: Prenatal Diagnosis of Arachnoid Cysts Without Extra‐Central Nervous System Anomalies in the Korean Population: A Multi‐Center Retrospective Study on Postnatal Diagnosis and Clinical Outcomes
Prenatal Diagnosis of Arachnoid Cysts Without Extra‐Central Nervous System Anomalies in the Korean Population: A Multi‐Center Retrospective Study on Postnatal Diagnosis and Clinical Outcomes Open
Background The aim of our study was to investigate the clinical characteristics, discrepancies in postnatal diagnosis, and outcomes of prenatally diagnosed arachnoid cysts without extra‐CNS anomalies. Methods This study was a multi‐center …
View article: Sex‐Based Differences in Prenatal and Perinatal Predictors of Autism Spectrum Disorder Using Machine Learning With National Health Data
Sex‐Based Differences in Prenatal and Perinatal Predictors of Autism Spectrum Disorder Using Machine Learning With National Health Data Open
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder influenced by genetic, epigenetic, and environmental factors. ASD is characterized by a higher prevalence in males compared to females, highlighting the potential role…
View article: Impact of platelet transfusion and bleeding risk stratification in patients with immune thrombocytopenia before procedures
Impact of platelet transfusion and bleeding risk stratification in patients with immune thrombocytopenia before procedures Open
The main treatment goal for immune thrombocytopenia (ITP) is bleeding risk reduction, particularly during procedures. While adjusting platelet thresholds with ITP treatments is recommended, platelet transfusions are commonly used despite c…
View article: Blood Transfusion Utilization in Patients with Severe Coronavirus Disease 2019 in the Republic of Korea: A Nationwide Population-Based Study
Blood Transfusion Utilization in Patients with Severe Coronavirus Disease 2019 in the Republic of Korea: A Nationwide Population-Based Study Open
Background: The coronavirus disease 2019 (COVID-19) pandemic has significantly affected both supply and demand for blood transfusion. This study aimed to investigate the prescription patterns of blood products and identify the risk factors…
View article: Clinical and dental predictors of preterm birth using machine learning methods: the MOHEPI study
Clinical and dental predictors of preterm birth using machine learning methods: the MOHEPI study Open
Preterm birth (PTB) is one of the most common and serious complications of pregnancy, leading to mortality and severe morbidities that can impact lifelong health. PTB could be associated with various maternal medical condition and dental s…
View article: Differences in maternal subgingival microbiome between preterm and term births: The MOHEPI study
Differences in maternal subgingival microbiome between preterm and term births: The MOHEPI study Open
Aim Periodontitis is a potential risk factor for preterm birth (PTB) in women; however, the causal relationship or the exact mechanism remain unknown. This study aimed to compare the oral microbiome features of mothers with full‐term birth…
View article: Association between breastfeeding duration and diabetes mellitus in menopausal women: a machine-learning analysis using population-based retrospective study
Association between breastfeeding duration and diabetes mellitus in menopausal women: a machine-learning analysis using population-based retrospective study Open
Background Breastfeeding resets insulin resistance caused by pregnancy however, studies on the association between breastfeeding and diabetes mellitus (DM) have reported inconsistent results. Therefore, we aimed to investigate the risk of …
View article: The impact of the COVID-19 pandemic on infant obesity: A nationwide retrospective cohort study
The impact of the COVID-19 pandemic on infant obesity: A nationwide retrospective cohort study Open
The COVID-19 pandemic has had a notable impact on the weight of infants aged 4-6 months. This suggests that pandemic conditions may influence the growth of newborns, underscoring the importance of monitoring and assessing trends in the gro…
View article: Explainable artificial intelligence for predicting red blood cell transfusion in geriatric patients undergoing hip arthroplasty: Machine learning analysis using national health insurance data
Explainable artificial intelligence for predicting red blood cell transfusion in geriatric patients undergoing hip arthroplasty: Machine learning analysis using national health insurance data Open
This study uses machine learning and population data to analyze major determinants of blood transfusion among patients with hip arthroplasty. Retrospective cohort data came from Korea National Health Insurance Service claims data for 19,11…
View article: Machine learning analysis for the association between breast feeding and metabolic syndrome in women
Machine learning analysis for the association between breast feeding and metabolic syndrome in women Open
This cross-sectional study aimed to develop and validate population-based machine learning models for examining the association between breastfeeding and metabolic syndrome in women. The artificial neural network, the decision tree, logist…
View article: Ultrasonographic assessment of abnormal fetal growth related to uteroplacental-fetal biometrics and Doppler (U-AID) indices: Protocol for multicenter retrospective cohort study trial
Ultrasonographic assessment of abnormal fetal growth related to uteroplacental-fetal biometrics and Doppler (U-AID) indices: Protocol for multicenter retrospective cohort study trial Open
Fetal growth restriction (FGR) is one of the leading causes of perinatal morbidity and mortality. Many studies have reported an association between FGR and fetal Doppler indices focusing on umbilical artery (UA), middle cerebral artery (MC…
View article: Explainable Model Using Shapley Additive Explanations Approach on Wound Infection after Wide Soft Tissue Sarcoma Resection: “Big Data” Analysis Based on Health Insurance Review and Assessment Service Hub
Explainable Model Using Shapley Additive Explanations Approach on Wound Infection after Wide Soft Tissue Sarcoma Resection: “Big Data” Analysis Based on Health Insurance Review and Assessment Service Hub Open
Background and Objectives: Soft tissue sarcomas represent a heterogeneous group of malignant mesenchymal tissues. Despite their low prevalence, soft tissue sarcomas present clinical challenges for orthopedic surgeons owing to their aggress…
View article: Prepregnancy and prenatal risk factors for the neurodevelopmental delay of offspring: Machine learning analysis using national health insurance claims data
Prepregnancy and prenatal risk factors for the neurodevelopmental delay of offspring: Machine learning analysis using national health insurance claims data Open
Neurodevelopmental disorders (NDD) in offspring are associated with a complex combination of pre-and postnatal factors. This study uses machine learning and population data to evaluate the association between prepregnancy or prenatal predi…
View article: Short-term neonatal and long-term neurodevelopmental outcome of children born term low birth weight
Short-term neonatal and long-term neurodevelopmental outcome of children born term low birth weight Open
This study aimed to examine the impact of term LBW on short-term neonatal and long-term neurodevelopmental outcomes in children 5–7 years of age. This is a population-based cohort study that merged national data from the Korea National Hea…
View article: The Role of the Aryl Hydrocarbon Receptor in Vascular Factors Related to Preeclampsia in a Smoking Mouse Model
The Role of the Aryl Hydrocarbon Receptor in Vascular Factors Related to Preeclampsia in a Smoking Mouse Model Open
Smoking cigarettes is known to lower the risk of preeclampsia. The objective of this study is to evaluate the effect of smoking on the expression of soluble FMS-like tyrosine kinase-1 (sFlt-1), vascular endothelial growth factor (VEGF), an…
View article: Machine learning analysis with population data for the associations of preterm birth with temporomandibular disorder and gastrointestinal diseases
Machine learning analysis with population data for the associations of preterm birth with temporomandibular disorder and gastrointestinal diseases Open
This study employs machine learning analysis with population data for the associations of preterm birth (PTB) with temporomandibular disorder (TMD) and gastrointestinal diseases. The source of the population-based retrospective cohort was …
View article: The Risk of Hypertension and Diabetes Mellitus According to Offspring’s Birthweight in Women With Normal Body Mass Index: A Nationwide Population-Based Study
The Risk of Hypertension and Diabetes Mellitus According to Offspring’s Birthweight in Women With Normal Body Mass Index: A Nationwide Population-Based Study Open
These findings provide a novel support for the use of the offspring's birthweight as a predictor of future maternal diseases such as HTN and DM.
View article: EP13.40: Protocol for ultrasonographic assessment of abnormal fetal growth interrelated to uteroplacental‐fetal biometry and Doppler (U‐AID) trial
EP13.40: Protocol for ultrasonographic assessment of abnormal fetal growth interrelated to uteroplacental‐fetal biometry and Doppler (U‐AID) trial Open
Most of the previous studies have established the association between Doppler indices and fetal growth restriction (FGR), with a primary focus on umbilical artery (UA), and middle cerebral artery (MCA). This study aims to assess changes in…
View article: EP24.20: Reference ranges of fetal cardiac biometric measurements by HeartAssist<b>™</b> in the Korean population: a multicentre prospective study
EP24.20: Reference ranges of fetal cardiac biometric measurements by HeartAssist<b>™</b> in the Korean population: a multicentre prospective study Open
To provide reference ranges for fetal cardiac parameters by using HeartAssist™, an automated system for measuring such parameters, in 17 large referral centres in South Korea. This prospective study included normal singleton fetuses betwee…
View article: EP18.46: Value of mid‐trimester Doppler ultrasound as predictors of SGA
EP18.46: Value of mid‐trimester Doppler ultrasound as predictors of SGA Open
Objectives: MicroRNAs (miRNA) are regulators of cellular processes including (anti-) angiogenesis and differentiation of trophoblast cells.They play a role in the pathophysiology of pre-eclampsia (PE).The aim of this study is to investigat…
View article: OC13.07: Optimal delivery timing for uncomplicated twin pregnancies
OC13.07: Optimal delivery timing for uncomplicated twin pregnancies Open
The objective of this study was to evaluate the risk of adverse neonatal outcome according to timing of delivery in twins with a gestational age of 37 weeks or more and determine the optimal timing of delivery in uncomplicated twin pregnan…
View article: EP25.04: Utility of intrapartum ultrasound in addition to Bishop score in predicting successful induction of labour
EP25.04: Utility of intrapartum ultrasound in addition to Bishop score in predicting successful induction of labour Open
The Bishop score has been widely used as a predictive system for successful induction of labour. However, the Bishop score can be subjective, so, it has individual differences. In this study, we investigated performance of Bishop score and…
View article: EP14.15: Comparison of perinatal outcome of late preterm premature rupture of membranes in twin and singleton pregnancies
EP14.15: Comparison of perinatal outcome of late preterm premature rupture of membranes in twin and singleton pregnancies Open
This study aimed to compare perinatal outcomes of preterm premature rupture of membranes between twin and singleton pregnancy in late preterm period. This retrospective case-control study included women with preterm birth followed by PPROM…
View article: Patient blood management to minimize transfusions during the postpartum period
Patient blood management to minimize transfusions during the postpartum period Open
Patient blood management is an evidence-based concept that seeks to minimize blood loss by maintaining adequate hemoglobin levels and optimizing hemostasis during surgery. Since the coronavirus disease 2019 pandemic, patient blood manageme…
View article: Association between early preterm birth and maternal exposure to fine particular matter (PM10): A nation-wide population-based cohort study using machine learning
Association between early preterm birth and maternal exposure to fine particular matter (PM10): A nation-wide population-based cohort study using machine learning Open
Although preterm birth (PTB), a birth before 34 weeks of gestation accounts for only less than 3% of total births, it is a critical cause of various perinatal morbidity and mortality. Several studies have been conducted on the association …
View article: A Randomized, Multicenter, Double-Blind, Parallel, Non-Inferiority Clinical Study to Compare the Efficacy and Safety of Unicenta and Melsmon for Menopausal Symptom Improvement
A Randomized, Multicenter, Double-Blind, Parallel, Non-Inferiority Clinical Study to Compare the Efficacy and Safety of Unicenta and Melsmon for Menopausal Symptom Improvement Open
This study was conducted to evaluate the efficacy and safety of Unicenta in female subjects with menopausal symptoms by analyzing the changes in the Kupperman index (primary endpoint) and hormonal changes (secondary endpoint). It was a ran…
View article: Preterm birth and maternal heart disease: A machine learning analysis using the Korean national health insurance database
Preterm birth and maternal heart disease: A machine learning analysis using the Korean national health insurance database Open
Background Maternal heart disease is suspected to affect preterm birth (PTB); however, validated studies on the association between maternal heart disease and PTB are still limited. This study aimed to build a prediction model for PTB usin…