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  1. Article: The risk of pediatric cardiovascular diseases in offspring born to mothers with systemic lupus erythematosus: a nationwide study.

    Cha, Jong Ho / Hwang, Jae Kyoon / Choi, Young-Jin / Na, Jae Yoon

    Frontiers in pediatrics

    2023  Volume 11, Page(s) 1294823

    Abstract: Background: Systemic lupus erythematosus (SLE), a common autoimmune disease predominantly affecting women, has been linked to various complications during pregnancy. The transfer of anti-Ro/SSA antibodies from SLE-affected mothers to their offspring can ...

    Abstract Background: Systemic lupus erythematosus (SLE), a common autoimmune disease predominantly affecting women, has been linked to various complications during pregnancy. The transfer of anti-Ro/SSA antibodies from SLE-affected mothers to their offspring can lead to neonatal lupus and cardiac issues. This study investigated the association between maternal SLE and the risk of pediatric cardiovascular disorders.
    Methods: The study utilized South Korea's National Health Insurance Service (NHIS) database, covering 3,505,737 children born between 2007 and 2017 and tracked until 2020. Maternal SLE cases were identified using the World Health Organization's International Classification of Diseases Tenth revision (ICD-10) codes and linked with delivery records. Cardiologic disorders were categorized into congenital heart disease (CHD), arrhythmic disorders, and acquired heart disease. Propensity score matching with 1:4 ratios was applied to the set control group.
    Results: Among 3,505,737 children, 0.7% (
    Conclusions: Maternal SLE is associated with congenital and acquired cardiac disorders in offspring, including structural, arrhythmic, and MCLS. This study highlights the need for continuous cardiovascular monitoring from the prenatal stage to preadolescence in these children due to multifactorial influences involving maternal autoantibodies, genetic predisposition, and environmental factors.
    Language English
    Publishing date 2023-12-05
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2711999-3
    ISSN 2296-2360
    ISSN 2296-2360
    DOI 10.3389/fped.2023.1294823
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Association of newer definitions of bronchopulmonary dysplasia with pulmonary hypertension and long-term outcomes.

    Hwang, Jae Kyoon / Shin, Seung Han / Kim, Ee-Kyung / Kim, Seh Hyun / Kim, Han-Suk

    Frontiers in pediatrics

    2023  Volume 11, Page(s) 1108925

    Abstract: Background: The definition of bronchopulmonary dysplasia (BPD) has been evolved recently from definition by the National Institute of Child Health and Human Development in 2001 (NICHD 2001) to the definition reported in 2018 (NICHD 2018) and that ... ...

    Abstract Background: The definition of bronchopulmonary dysplasia (BPD) has been evolved recently from definition by the National Institute of Child Health and Human Development in 2001 (NICHD 2001) to the definition reported in 2018 (NICHD 2018) and that proposed by Jensen et al. in 2019 (NICHD 2019). The definition was developed based on the evolution of non-invasive respiratory support and to achieve better prediction of later outcomes. Our objective was to evaluate the association between different definitions of BPD and occurrence of pulmonary hypertension (PHN) and long term outcomes.
    Methods: This retrospective study enrolled preterm infants born at < 32 weeks of gestation between 2014 and 2018. The association between re-hospitalization owing to a respiratory illness until a corrected age (CA) of 24 months, neurodevelopmental impairment (NDI) at a CA of 18-24 months, and PHN at a postmenstrual age (PMA) of 36 weeks was evaluated, with the severity of BPD defined based on these three definitions.
    Results: Among 354 infants, the gestational age and birth weight were the lowest in severe BPD based on the NICHD 2019 definition. In total, 14.1% of the study population experienced NDI and 19.0% were re-hospitalized owing to a respiratory illness. At a PMA of 36 weeks, PHN was identified in 9.2% of infants with any BPD. Multiple logistic regression analysis showed that the adjusted odds ratio (OR) for re-hospitalization was the highest for Grade 3 BPD of the NICHD 2019 criteria (5.72, 95% confidence interval [CI]: 1.37-23.92), while the adjusted OR of Grade 3 BPD was 4.96 (95% CI: 1.73-14.23) in the NICHD 2018 definition. Moreover, no association of the severity of BPD was found in the NICHD 2001 definition. The adjusted ORs for NDI (12.09, 95% CI: 2.52-58.05) and PHN (40.37, 95% CI: 5.15-316.34) were also the highest for Grade 3 of the NICHD 2019 criteria.
    Conclusion: Based on recently suggested criteria by the NICHD in 2019, BPD severity is associated with long-term outcomes and PHN at a PMA of 36 weeks in preterm infants.
    Language English
    Publishing date 2023-02-15
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2711999-3
    ISSN 2296-2360
    ISSN 2296-2360
    DOI 10.3389/fped.2023.1108925
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Seasonal differences in the effects of local concentrations of atmospheric substances and meteorological elements on asthma exacerbation of children in metropolitan area, Korea: A 13-year retrospective single-center study.

    Hwang, Jae Kyoon / Na, Jae Yoon / Lee, Kyung Suk / Oh, Jae-Won / Choi, Young-Jin

    Frontiers in pediatrics

    2023  Volume 11, Page(s) 1028901

    Abstract: Purpose: Air pollutants contribute to asthma exacerbation, and the types of air pollutants involved in acute asthma exacerbation may differ depending on climate and environmental conditions. This study aimed to identify factors affecting asthma ... ...

    Abstract Purpose: Air pollutants contribute to asthma exacerbation, and the types of air pollutants involved in acute asthma exacerbation may differ depending on climate and environmental conditions. This study aimed to identify factors affecting asthma exacerbation in each of the four seasons so that to prevent acute asthma exacerbation and to establish effective treatment strategies for each season.
    Methods: Pediatric patients aged 0-18 years old hospitalized or admitted to the emergency room for asthma exacerbation at Hanyang University Guri Hospital between January 1, 2007, and December 31, 2019 were recruited. The number of asthma exacerbations comprised the total number of patients admitted to the emergency room or hospitalized for asthma and treated with systemic steroids. The association between the number of asthma exacerbations/week and average concentrations of atmospheric substances and meteorological elements in that week were analyzed. Multiple linear regression analyses were performed to examine the association between various atmospheric variables and the number of asthma exacerbations.
    Results: The number of asthma exacerbations was found to be associated with the concentration of particulate matter with an aerodynamic diameter of ≤10 μm in that week in autumn. No atmospheric variables exhibited an association in other seasons.
    Conclusions: Air pollutants and meteorological factors affecting asthma exacerbation vary by season. Moreover, their effects may change
    Language English
    Publishing date 2023-04-28
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2711999-3
    ISSN 2296-2360
    ISSN 2296-2360
    DOI 10.3389/fped.2023.1028901
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Omental infarction diagnosed by computed tomography, missed with ultrasonography: A case report.

    Hwang, Jae Kyoon / Cho, Yu Jeong / Kang, Bo Seung / Min, Kyueng-Whan / Cho, Young Seo / Kim, Yong Joo / Lee, Kyung Suk

    World journal of clinical cases

    2023  Volume 11, Issue 4, Page(s) 972–978

    Abstract: Background: Omental infarction (OI) is a surgical abdominal disease that is not common in adults and is very rare in children. Similar to various acute abdominal pain diseases including appendicitis, diagnosis was previously achieved by diagnostic ... ...

    Abstract Background: Omental infarction (OI) is a surgical abdominal disease that is not common in adults and is very rare in children. Similar to various acute abdominal pain diseases including appendicitis, diagnosis was previously achieved by diagnostic laparotomy but more recently, ultrasonography or computed tomography (CT) examination has been used.
    Case summary: A 6-year-old healthy boy with no specific medical history visited the emergency room with right lower abdominal pain. He underwent abdominal ultrasonography by a radiologist to rule out acute appendicitis. He was discharged with no significant sonographic finding and symptom relief. However, the symptoms persisted for 2 more days and an outpatient visit was made. An outpatient abdominal CT was used to make a diagnosis of OI. After laparoscopic operation, his symptoms resolved.
    Conclusion: In children's acute abdominal pain, imaging studies should be performed for appendicitis and OI.
    Language English
    Publishing date 2023-02-03
    Publishing country United States
    Document type Case Reports
    ISSN 2307-8960
    ISSN 2307-8960
    DOI 10.12998/wjcc.v11.i4.972
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Learning-Based Longitudinal Prediction Models for Mortality Risk in Very-Low-Birth-Weight Infants: A Nationwide Cohort Study.

    Na, Jae Yoon / Jung, Donggoo / Cha, Jong Ho / Kim, Daehyun / Son, Joonhyuk / Hwang, Jae Kyoon / Kim, Tae Hyun / Park, Hyun-Kyung

    Neonatology

    2023  Volume 120, Issue 5, Page(s) 652–660

    Abstract: Introduction: Prediction models assessing the mortality of very-low-birth-weight (VLBW) infants were confined to models using only pre- and perinatal variables. We aimed to construct a prediction model comprising multifactorial clinical events with data ...

    Abstract Introduction: Prediction models assessing the mortality of very-low-birth-weight (VLBW) infants were confined to models using only pre- and perinatal variables. We aimed to construct a prediction model comprising multifactorial clinical events with data obtainable at various time points.
    Methods: We included 15,790 (including 2,045 in-hospital deaths) VLBW infants born between 2013 and 2020 who were enrolled in the Korean Neonatal Network, a nationwide registry. In total, 53 prenatal and postnatal variables were sequentially added into the three discrete models stratified by hospital days: (1) within 24 h (TL-1d), (2) from day 2 to day 7 after birth (TL-7d), (3) from day 8 after birth to discharge from the neonatal intensive care unit (TL-dc). Each model predicted the mortality of VLBW infants within the affected period. Multilayer perception (MLP)-based network analysis was used for modeling, and ensemble analysis with traditional machine learning (ML) analysis was additionally applied. The performance of models was compared using the area under the receiver operating characteristic curve (AUROC) values. The Shapley method was applied to reveal the contribution of each variable.
    Results: Overall, the in-hospital mortality was 13.0% (1.2% in TL-1d, 4.1% in TL-7d, and 7.7% in TL-dc). Our MLP-based mortality prediction model combined with ML ensemble analysis had AUROC values of 0.932 (TL-1d), 0.973 (TL-7d), and 0.950 (TL-dc), respectively, outperforming traditional ML analysis in each timeline. Birth weight and gestational age were constant and significant risk factors, whereas the impact of the other variables varied.
    Conclusion: The findings of the study suggest that our MLP-based models could be applied in predicting in-hospital mortality for high-risk VLBW infants. We highlight that mortality prediction should be customized according to the timing of occurrence.
    MeSH term(s) Infant, Newborn ; Infant ; Pregnancy ; Female ; Humans ; Cohort Studies ; Infant Mortality ; Infant, Very Low Birth Weight ; Birth Weight ; Risk Factors
    Language English
    Publishing date 2023-07-17
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2266911-5
    ISSN 1661-7819 ; 1661-7800
    ISSN (online) 1661-7819
    ISSN 1661-7800
    DOI 10.1159/000530738
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Machine learning-based analysis for prediction of surgical necrotizing enterocolitis in very low birth weight infants using perinatal factors: a nationwide cohort study.

    Kim, Seung Hyun / Oh, Yoon Ju / Son, Joonhyuk / Jung, Donggoo / Kim, Daehyun / Ryu, Soo Rack / Na, Jae Yoon / Hwang, Jae Kyoon / Kim, Tae Hyun / Park, Hyun-Kyung

    European journal of pediatrics

    2024  Volume 183, Issue 6, Page(s) 2743–2751

    Abstract: Early prediction of surgical necrotizing enterocolitis (sNEC) in preterm infants is important. However, owing to the complexity of the disease, identifying infants with NEC at a high risk for surgical intervention is difficult. We developed a machine ... ...

    Abstract Early prediction of surgical necrotizing enterocolitis (sNEC) in preterm infants is important. However, owing to the complexity of the disease, identifying infants with NEC at a high risk for surgical intervention is difficult. We developed a machine learning (ML) algorithm to predict sNEC using perinatal factors obtained from the national cohort registry of very low birth weight (VLBW) infants. Data were collected from the medical records of 16,385 VLBW infants registered in the Korean Neonatal Network (KNN). Infants who underwent surgical intervention were identified with sNEC, and infants who received medical treatment, with medical NEC (mNEC). We used 38 variables, including maternal, prenatal, and postnatal factors that were obtained within 1 week of birth, for training. A total of 1085 patients had NEC (654 with sNEC and 431 with mNEC). VLBW infants showed a higher incidence of sNEC at a lower gestational age (GA) (p < 0.001). Our proposed ensemble model showed an area under the receiver operating characteristic curve of 0.721 for sNEC prediction.    Conclusion: Proposed ensemble model may help predict which infants with NEC are likely to develop sNEC. Through early prediction and prompt intervention, prognosis of sNEC may be improved. What is Known: • Machine learning (ML)-based techniques have been employed in NEC research for prediction, diagnosis, and prognosis, with promising outcomes. • While most studies have utilized abdominal radiographs and clinical manifestations of NEC as data sources, and have demonstrated their usefulness, they may prove weak in terms of early prediction. What is New: • We analyzed the perinatal factors of VLBW infants acquired within 7 days of birth and used ML-based analysis to identify which infants with NEC are vulnerable to clinical deterioration and at high risk for surgical intervention using nationwide cohort data.
    MeSH term(s) Humans ; Infant, Very Low Birth Weight ; Enterocolitis, Necrotizing/diagnosis ; Enterocolitis, Necrotizing/surgery ; Infant, Newborn ; Machine Learning ; Female ; Male ; Republic of Korea/epidemiology ; Infant, Premature, Diseases/diagnosis ; Infant, Premature, Diseases/surgery ; Cohort Studies ; Gestational Age ; Risk Factors ; Infant, Premature ; Retrospective Studies ; Registries ; Risk Assessment/methods
    Language English
    Publishing date 2024-03-30
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 194196-3
    ISSN 1432-1076 ; 0340-6199 ; 0943-9676
    ISSN (online) 1432-1076
    ISSN 0340-6199 ; 0943-9676
    DOI 10.1007/s00431-024-05505-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Age-Specific Characteristics of Adult and Pediatric Respiratory Viral Infections: A Retrospective Single-Center Study.

    Hwang, Jae Kyoon / Na, Jae Yoon / Kim, Jihye / Oh, Jae-Won / Kim, Yong Joo / Choi, Young-Jin

    Journal of clinical medicine

    2022  Volume 11, Issue 11

    Abstract: This study aimed to identify age-specific characteristics of respiratory viral infections. Hospitalized patients with confirmed viral respiratory infections were included in the sample. The patients were divided into the pediatric group (<19 years old) ... ...

    Abstract This study aimed to identify age-specific characteristics of respiratory viral infections. Hospitalized patients with confirmed viral respiratory infections were included in the sample. The patients were divided into the pediatric group (<19 years old) and the adult group (≥19 years old). The groups were then subdivided based on age: 0−6, 7−12, 13−18, 19−49, 50−64, and ≥65 years old. These groups were compared to evaluate the differences in the pattern of respiratory viral infections. Among a total of 4058 pediatric patients (mean age 3.0 ± 2.9 years, n = 1793 females), 2829 (48.9%) had mono-infections, while 1229 (51.1%) had co-infections. Co-infections were the most common in the 0−6-year-old group (31.6%). Among 1550 adult patients (mean age 70.2 ± 15.3 years, n = 710 females), 1307 (85.6%) had mono-infections and 243 (14.4%) had co-infections. Co-infections were most common in the ≥65-year-old group (16.8%). Viral infection and co-infection rates decreased with age in pediatric patients but increased with increasing age in adults. In pediatric patients, the rates of viral infections and co-infections were high; the rate of co-infections was higher in younger patients. In adult patients, the rates of viral infections and co-infections were lower than those in pediatric patients; the rate of co-infections was higher in older patients.
    Language English
    Publishing date 2022-06-03
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662592-1
    ISSN 2077-0383
    ISSN 2077-0383
    DOI 10.3390/jcm11113197
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  8. Article ; Online: Effects of Ponderal Index on Neonatal Mortality and Morbidities in Extremely Premature Infants.

    Hwang, Jae Kyoon / Kang, Ha-Na / Ahn, Ja-Hye / Lee, Hyun Ju / Park, Hyun-Kyung / Kim, Chang-Ryul

    Journal of Korean medical science

    2022  Volume 37, Issue 24, Page(s) e198

    Abstract: Background: To evaluate how intrauterine stress affects extremely premature infants in terms of intrauterine growth restriction. We hypothesized that extremely premature infants with mildly-low ponderal index (MPI) would have better neonatal outcomes.!## ...

    Abstract Background: To evaluate how intrauterine stress affects extremely premature infants in terms of intrauterine growth restriction. We hypothesized that extremely premature infants with mildly-low ponderal index (MPI) would have better neonatal outcomes.
    Methods: We selected 2,721 subjects of 23 to 28 weeks of gestation between 2013 and 2015 from Korean Neonatal Network database. They were divided into 4 groups based on ponderal index (PI) percentile; PI ≤ 3rd as severely-low PI (SPI, n = 82), 3rd < PI ≤ 10th as MPI (n = 190), 10th < PI ≤ 90th as adequate PI (API, n = 2,179), and PI > 90th as high PI (HPI, n = 270).
    Results: The mortality in MPI and API groups was comparable (16.3% vs. 16.9%). It was significantly lower than that in the SPI and HPI groups (30.5% and 24.9%, respectively;
    Conclusion: The MPI and API groups had lower mortality, massive pulmonary hemorrhage, severe bronchopulmonary dysplasia or death, pulmonary hypertension and neonatal seizure rates than the SPI and/or HPI groups, while the MPI group showed a lower incidence of severe IVH than the other groups. We speculate that the lower incidence of neonatal morbidities and mortality in the MPI group indicating mild intrauterine stress might accelerate fetal maturation resulting in better outcomes in extremely premature infants.
    MeSH term(s) Bronchopulmonary Dysplasia/epidemiology ; Cerebral Hemorrhage ; Female ; Gestational Age ; Humans ; Infant ; Infant Mortality ; Infant, Extremely Premature ; Infant, Newborn ; Infant, Newborn, Diseases ; Infant, Premature, Diseases/epidemiology ; Morbidity
    Language English
    Publishing date 2022-06-20
    Publishing country Korea (South)
    Document type Journal Article
    ZDB-ID 639262-3
    ISSN 1598-6357 ; 1011-8934
    ISSN (online) 1598-6357
    ISSN 1011-8934
    DOI 10.3346/jkms.2022.37.e198
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  9. Article ; Online: Altered microstructure of the splenium of corpus callosum is associated with neurodevelopmental impairment in preterm infants with necrotizing enterocolitis.

    Cha, Jong Ho / Lim, Jung-Sun / Jang, Yong Hun / Hwang, Jae Kyoon / Na, Jae Yoon / Lee, Jong-Min / Lee, Hyun Ju / Ahn, Ja-Hye

    Italian journal of pediatrics

    2022  Volume 48, Issue 1, Page(s) 6

    Abstract: Background: Necrotizing enterocolitis (NEC) is a devastating disease in preterm infants with significant morbidities, including neurodevelopmental impairment (NDI). This study aimed to investigate whether NEC is associated with (1) brain volume ... ...

    Abstract Background: Necrotizing enterocolitis (NEC) is a devastating disease in preterm infants with significant morbidities, including neurodevelopmental impairment (NDI). This study aimed to investigate whether NEC is associated with (1) brain volume expansion and white matter maturation using diffusion tensor imaging analysis and (2) NDI compared with preterm infants without NEC.
    Methods: We included 86 preterm infants (20 with NEC and 66 without NEC) with no evidence of brain abnormalities on trans-fontanelle ultrasonography and magnetic resonance imaging at term-equivalent age (TEA). Regional brain volume analysis and white matter tractography were performed to study brain microstructure alterations. NDI was assessed using the Bayley Scales of Infant and Toddler Development-III (BSID-III) at 18 months of corrected age (CA).
    Results: Preterm infants with NEC showed significantly high risk of motor impairment (odds ratio 58.26, 95% confidence interval 7.80-435.12, p < 0.001). We found significantly increased mean diffusivity (MD) in the splenium of corpus callosum (sCC) (p = 0.001) and the left corticospinal tract (p = 0.001) in preterm infants with NEC. The sCC with increased MD showed a negative association with the BSID-III language (p = 0.025) and motor scores (p = 0.002) at 18 months of CA, implying the relevance of sCC integrity with later NDI.
    Conclusion: The white matter microstructure differed between preterm infants with and without NEC. The prognostic value of network parameters of sCC at TEA may provide better information for the early detection of NDI in preterm infants.
    MeSH term(s) Corpus Callosum/diagnostic imaging ; Developmental Disabilities/etiology ; Diffusion Tensor Imaging ; Enterocolitis, Necrotizing/complications ; Female ; Humans ; Infant, Newborn ; Infant, Premature ; Infant, Premature, Diseases ; Magnetic Resonance Imaging ; Male ; Prospective Studies ; Pyramidal Tracts/diagnostic imaging
    Language English
    Publishing date 2022-01-10
    Publishing country England
    Document type Journal Article ; Observational Study
    ZDB-ID 2088556-8
    ISSN 1824-7288 ; 1720-8424
    ISSN (online) 1824-7288
    ISSN 1720-8424
    DOI 10.1186/s13052-021-01197-z
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  10. Article: Two-stage learning-based prediction of bronchopulmonary dysplasia in very low birth weight infants: a nationwide cohort study.

    Hwang, Jae Kyoon / Kim, Dae Hyun / Na, Jae Yoon / Son, Joonhyuk / Oh, Yoon Ju / Jung, Donggoo / Kim, Chang-Ryul / Kim, Tae Hyun / Park, Hyun-Kyung

    Frontiers in pediatrics

    2023  Volume 11, Page(s) 1155921

    Abstract: Introduction: The aim of this study is to develop an enhanced machine learning-based prediction models for bronchopulmonary dysplasia (BPD) and its severity through a two-stage approach integrated with the duration of respiratory support (RSd) using ... ...

    Abstract Introduction: The aim of this study is to develop an enhanced machine learning-based prediction models for bronchopulmonary dysplasia (BPD) and its severity through a two-stage approach integrated with the duration of respiratory support (RSd) using prenatal and early postnatal variables from a nationwide very low birth weight (VLBW) infant cohort.
    Methods: We included 16,384 VLBW infants admitted to the neonatal intensive care unit (
    Results: We included 11,177 VLBW infants (3,724 without BPD (BPD 0), 3,383 with mild BPD (BPD 1), 1,375 with moderate BPD (BPD 2), and 2,695 with severe BPD (BPD 3) cases). Compared to conventional machine learning (ML) models, our PMbpd and two-stage PMbpd with RSd (TS-PMbpd) model outperformed both binary (0 vs. 1,2,3; 0,1 vs. 2,3; 0,1,2 vs. 3) and each severity (0 vs. 1 vs. 2 vs. 3) prediction (AUROC = 0.895 and 0.897, 0.824 and 0.825, 0.828 and 0.823, 0.783, and 0.786, respectively). GA, birth weight, and patent ductus arteriosus (PDA) treatment were significant variables for the occurrence of BPD. Birth weight, low blood pressure, and intraventricular hemorrhage were significant for BPD ≥2, birth weight, low blood pressure, and PDA ligation for BPD ≥3. GA, birth weight, and pulmonary hypertension were the principal variables that predicted BPD severity in VLBW infants.
    Conclusions: We developed a new two-stage ML model reflecting crucial BPD indicators (RSd) and found significant clinical variables for the early prediction of BPD and its severity with high predictive accuracy. Our model can be used as an adjunctive predictive model in the practical NICU field.
    Language English
    Publishing date 2023-06-13
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2711999-3
    ISSN 2296-2360
    ISSN 2296-2360
    DOI 10.3389/fped.2023.1155921
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