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Chioma R, Healy DB, Finn D, Walsh BH, Reynolds C, O'Sullivan D, Livingstone V, Bussmann N, Dempsey EM. The Bronchopulmonary Dysplasia score: A predictive model for bronchopulmonary dysplasia or death in high-risk preterm infants. Acta Paediatr 2024; 113:1781-1790. [PMID: 38798138 DOI: 10.1111/apa.17304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 05/16/2024] [Accepted: 05/17/2024] [Indexed: 05/29/2024]
Abstract
AIM Progressive respiratory deterioration in infants at high risk of bronchopulmonary dysplasia (BPD) is associated with patent ductus arteriosus (PDA) exposure. This study aimed to design an early predictive model for BPD or death in preterm infants using early echocardiographic markers and clinical data. METHODS Infants born with gestational age (GA) ≤ 29 weeks and/or birth weight (BW) < 1500 g at Cork University Maternity Hospital, Ireland were retrospectively evaluated. Those with echocardiography performed between 36 h and 7 days of life were eligible for inclusion. Exclusion criteria were pulmonary hypertension and major congenital anomalies. The primary outcome was a composite of BPD and death before discharge. RESULTS The study included 99 infants. A predictive model for the primary outcome was developed, which included three variables (BW, Respiratory Severity Score and flow pattern across the PDA), and yielding an area under the curve of 0.98 (95% CI 0.96-1.00, p < 0.001). Higher scores were predictive of the primary outcome. A cut-off of -1.0 had positive and negative predictive values of 89% and 98%, and sensitivity and specificity of 98% and 88%, respectively. CONCLUSION Our prediction model is an accessible bedside tool that predicts BPD or death in premature infants.
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Affiliation(s)
- Roberto Chioma
- INFANT Research Centre, University College Cork, Cork, Ireland
- Catholic University of Sacred Heart, Rome, Italy
| | - David B Healy
- INFANT Research Centre, University College Cork, Cork, Ireland
- Department of Paediatrics and Child Health, University College Cork, Cork, Ireland
| | - Daragh Finn
- INFANT Research Centre, University College Cork, Cork, Ireland
- Department of Paediatrics and Child Health, University College Cork, Cork, Ireland
| | - Brian H Walsh
- INFANT Research Centre, University College Cork, Cork, Ireland
- Department of Paediatrics and Child Health, University College Cork, Cork, Ireland
| | - Cole Reynolds
- Department of Paediatrics and Child Health, University College Cork, Cork, Ireland
| | - Deirdre O'Sullivan
- Department of Paediatrics and Child Health, University College Cork, Cork, Ireland
| | - Vicki Livingstone
- INFANT Research Centre, University College Cork, Cork, Ireland
- Department of Paediatrics and Child Health, University College Cork, Cork, Ireland
| | - Neidin Bussmann
- Department of Paediatrics and Child Health, University College Cork, Cork, Ireland
| | - Eugene M Dempsey
- INFANT Research Centre, University College Cork, Cork, Ireland
- Department of Paediatrics and Child Health, University College Cork, Cork, Ireland
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Al Mandhari H, Khan A, Al Saadi A, AboAnza M, Rizvi SG, Panchatcharam SM, Abdulatif M, Al Qassabi S, Quach S. Prevalence, Severity Patterns and Risk Factors of Bronchopulmonary Dysplasia in Preterm Infants Younger than 32 Weeks of Gestation in a Tertiary Centre in Oman. Sultan Qaboos Univ Med J 2024; 24:259-267. [PMID: 38828256 PMCID: PMC11139367 DOI: 10.18295/squmj.3.2024.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 01/31/2024] [Accepted: 02/18/2024] [Indexed: 06/05/2024] Open
Abstract
Objectives This study aimed to determine the rate and severity patterns of bronchopulmonary dysplasia (BPD) and identify antenatal and postnatal factors associated with BPD in preterm infants <32 weeks of gestational age (GA). Methods This retrospective observational study included preterm neonates <32 weeks of gestation admitted into the neonatal intensive care unit between January 2010 and December 2017 at Sultan Qaboos University Hospital, Muscat, Oman. A data set of antenatal and perinatal factors were collected. BPD was defined as the need for oxygen and/or respiratory support at 36 weeks post-menstrual age (PMA). Infants with and without BPD were compared in their antenatal and perinatal factors. Results A total of 589 preterm infants <32 weeks were admitted. Among them, 505 (85.7%) survived to 36 weeks' PMA and 90 (17.8%) had BPD. The combined BPD and mortality rate was 28.4%. Grades 1, 2 and 3 BPD constituted 77.8%, 7.8% and 14.4%, respectively. BPD was associated with lower GA, lower birth weight, need for intubation at resuscitation, lower Apgar scores, longer duration of ventilation, surfactant therapy and higher rates of neonatal morbidities. On binary logistic regression analysis, predictors of BPD were longer duration of ventilation, intraventricular haemorrhage (IVH) and necrotising enterocolitis (NEC). Conclusion In an Omani centre, 17.8% of preterm infants (<32 weeks GA) developed BPD. Various perinatal and neonatal factors were associated with BPD. However, longer duration of ventilation, IVH grades 1 and 2 and NEC stages II and III were significant predictors. Future multicentre research is necessary to provide the overall prevalence of BPD in Oman to help optimise the resources for BPD prevention and management in preterm infants.
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Affiliation(s)
- Hilal Al Mandhari
- Child Health Department, Sultan Qaboos University Hospital, Muscat, Oman
| | - Ashfaq Khan
- Child Health Department, Sultan Qaboos University Hospital, Muscat, Oman
| | | | - Mazen AboAnza
- Child Health Department, Sultan Qaboos University Hospital, Muscat, Oman
| | - Syed G.A. Rizvi
- Department of Family Medicine & Public Health, Sultan Qaboos University, Muscat, Oman
| | | | - Mohammed Abdulatif
- Child Health Department, Sultan Qaboos University Hospital, Muscat, Oman
| | | | - Shirley Quach
- Department of Respiratory Therapy, SickKids Research Institute, Toronto, Canada
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Radulova P, Boncheva M, Nachev G, Slancheva B, Dimitrova V. Plasma KL-6 as a Potential Biomarker for Bronchopulmonary Dysplasia in Preterm Infants. Crit Care Res Pract 2024; 2024:3623948. [PMID: 38328675 PMCID: PMC10846922 DOI: 10.1155/2024/3623948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 12/20/2023] [Accepted: 01/17/2024] [Indexed: 02/09/2024] Open
Abstract
Background KL-6 is a biomarker of interstitial lung injury and increases during repair. Aim Our aim was to determine the predictive value of plasma KL-6 for the development of bronchopulmonary dysplasia (BPD) in preterm infants. Methods Ninety-five extremely preterm infants (EPIs), born at <28 gestational age (GA), were divided into two main BPD groups as follows: the moderate/severe and the no/mild group. KL-6 was analyzed on days 7 and 14. Binary logistic regression analyses and ROC curve analyses were performed. Results Infants <26 + 0 weeks' GA have higher mean KL-6 than infants >25 + 6 weeks' GA on 7 and 14 days (335 vs. 286 U/ml and 378 vs. 260 U/ml; p = 0.005 and 0.018, respectively). In the binary regression model at KL-6 day 7, three of the prognostic factors remained significant-mechanical ventilation OR: 10.38 (95% CI: 3.57-30.14), PDA OR: 6.39 (95% CI: 0.87-46.74), and KL-6 OR: 4.98 (95% CI: 1.54-16.08). The AUC was 0.86 with a sensitivity and specificity of 79% at a cutoff value ≥0.34. In the binary regression model at KL-6 day 14, six of the prognostic factors were significant-PDA OR: 23.34 (95% CI: 2.14-254.24), KL-6 OR: 13.59 (95% CI: 3.19-57.96), GA OR: 4.58 (95% CI: 1.16-18.06), mechanical ventilation OR: 4.45 (95% CI: 1.23-16.16), antenatal steroids OR: 0.19 (95% CI: 0.04-0.95), and gender (female OR: 0.30 (95% CI 0.08-1.12)). The AUC was 0.91, and the sensitivity and accuracy for a cutoff ≥0.37 were 89% and 85%, respectively. Conclusion KL-6 could be a useful screening biomarker for early detection of infants at increased risk for developing BPD.
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Affiliation(s)
- Petya Radulova
- Department of Obstetrics and Gynecology, Medical University of Sofia, Zdrave 2 Street, Sofia 1431, Bulgaria
- Neonatology Clinic, University Hospital of Obstetrics and Gynecology “Maichin Dom”, Sofia, Bulgaria
| | - Margaritka Boncheva
- University Hospital for Active Treatment “St. Ekaterina”, Pencho Slaveikov Street, 52A, Sofia 1431, Bulgaria
| | - Gencho Nachev
- University Hospital for Active Treatment “St. Ekaterina”, Pencho Slaveikov Street, 52A, Sofia 1431, Bulgaria
| | - Boriana Slancheva
- Department of Obstetrics and Gynecology, Medical University of Sofia, Zdrave 2 Street, Sofia 1431, Bulgaria
- Neonatology Clinic, University Hospital of Obstetrics and Gynecology “Maichin Dom”, Sofia, Bulgaria
| | - Violeta Dimitrova
- Department of Obstetrics and Gynecology, Medical University of Sofia, Zdrave 2 Street, Sofia 1431, Bulgaria
- Neonatology Clinic, University Hospital of Obstetrics and Gynecology “Maichin Dom”, Sofia, Bulgaria
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Wang X, Wang S, Chen M, Lv Y, Chen X, Yang C. The value of hematocrit for predicting bronchopulmonary dysplasia in very low birth weight preterm infants. Medicine (Baltimore) 2023; 102:e35056. [PMID: 37773858 PMCID: PMC10545317 DOI: 10.1097/md.0000000000035056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 08/11/2023] [Indexed: 10/01/2023] Open
Abstract
To determine hematocrit (HCT) and to identify independent risk factors for predicting bronchopulmonary dysplasia (BPD) in preterm infants with very low birth weight (VLBW) infants. This retrospective study included 296 premature infants with VLBW in the neonatal intensive care unit of the First Affiliated Hospital of the University of Science and Technology of China between January 2015 and December 2019. Maternal pregnant information and clinical information as well as hematological parameters of preterm babies were collected and compared. Then the maximum area under the curve of receiver operating characteristic curve was developed to estimate the predictive indicator in the blood. Finally, differential variables together with the predictive index were screened for multiple logistic regression analysis to determine independent prognostic factors for BPD. Infants were divided into a BPD group (134 cases) and a non-BPD group (162 cases). The area under the curve of HCT at postnatal 1 week was 0.737 with the sensitivity of 52.30 % and the specificity of 86.00%. Birth weight (BW) <1.12 kg, gestational age <28.4 weeks, newborn respiratory distress syndrome, mechanical ventilation ≥ 7 days, ventilation associated pneumonia, patent arterial duct, PaO2/FiO2 <300 mm Hg and HCT <0.455 at postnatal 1 week were risk factors for BPD of VLBW infants. HCT levels below 0.455 at 1 week after birth serve as a valuable indicator for the potential development of BPD.
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Affiliation(s)
- Xuesong Wang
- Department of Neonatology, Shenzhen Maternity and Child Healthcare Hospital, Cheeloo College of Medicine, Shandong University, Shenzhen, China
| | - Shushu Wang
- Department of Neonatology, The First Affiliated Hospital of USTC, Hefei, China
| | - Mingwu Chen
- Department of Neonatology, The First Affiliated Hospital of USTC, Hefei, China
| | - Yong Lv
- Department of Neonatology, The First Affiliated Hospital of USTC, Hefei, China
| | - Xueyu Chen
- Department of Neonatology, Shenzhen Maternity and Child Healthcare Hospital, Cheeloo College of Medicine, Shandong University, Shenzhen, China
| | - Chuanzhong Yang
- Department of Neonatology, Shenzhen Maternity and Child Healthcare Hospital, Cheeloo College of Medicine, Shandong University, Shenzhen, China
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Shen X, Patel N, Zhu W, Chen X, Lu K, Cheng R, Mo X. A nomogram for predicting the risk of Bronchopulmonary dysplasia in premature infants. Heliyon 2023; 9:e18964. [PMID: 37609396 PMCID: PMC10440517 DOI: 10.1016/j.heliyon.2023.e18964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 07/11/2023] [Accepted: 08/03/2023] [Indexed: 08/24/2023] Open
Abstract
Background Bronchopulmonary dysplasia (BPD) is a prevalent and critical complication among premature infants, with potentially long-lasting adverse effetcs. The present study aimed to establish a nomogram model to predict the risk of BPD in premature infants born at <32 weeks gestational age. Methods A retrospective single-center study was conducted on premature infants admitted to the neonatal intensive care unit (NICU) of the Children's Hospital of Nanjing Medical University from January 2018 to December 2020. Data were collected from clinical medical records, including the perinatal data and the critical information after birth. Clinical parameters and features were analyzed using univariate and multivariate logistic regression. A nomogram based on clinical data was established and validated using bootstrapping samples. The specificity and sensitivity of the nomogram were estimated using the receiver operating characteristic (ROC) based area under the curve (AUC). Results A total of 542 premature babies were included, and 152 infants (28.04%) were diagnosed with BPD. Birth weight, cesarean delivery, invasive/non-invasive ventilation at day 7 and 14 were identified as significant factors (p < 0.05) using univariate and the multivariate logistic regression analysis, and were entered into a nomogram. The calibration curve for BPD probability demonstrated a favorable concurrence between actual probability and predicted ability of the BPD nomogram. The nomogram showed potential differentiation, with an AUC of 0.925, 89.90% sensitivity, 76.71% specificity, and 86.35% accuracy. Conclusion The nomogram developed in this study provides a straightforward tool to predict the probability of BPD and assist clinicians in optimizing treatment regimens for premature infants born at <32 weeks gestational age. This study highlights the importance of identifying and monitoring significant clinical factors associated with BPD in premature infants to improve clinical outcomes.
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Affiliation(s)
- Xian Shen
- Department of Neonatology, Children's Hospital of Nanjing Medical University, Nanjing, 210008, China
| | - Nishant Patel
- Department of Cardiothoracic Surgery, Children's Hospital of Nanjing Medical University, Nanjing, 210008, China
| | - Wen Zhu
- Department of Neonatology, Children's Hospital of Nanjing Medical University, Nanjing, 210008, China
| | - Xu Chen
- Department of Neonatology, Children's Hospital of Nanjing Medical University, Nanjing, 210008, China
| | - Keyu Lu
- Department of Neonatology, Children's Hospital of Nanjing Medical University, Nanjing, 210008, China
| | - Rui Cheng
- Department of Neonatology, Children's Hospital of Nanjing Medical University, Nanjing, 210008, China
| | - Xuming Mo
- Department of Cardiothoracic Surgery, Children's Hospital of Nanjing Medical University, Nanjing, 210008, China
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Hwang JK, Kim DH, Na JY, Son J, Oh YJ, Jung D, Kim CR, Kim TH, Park HK. Two-stage learning-based prediction of bronchopulmonary dysplasia in very low birth weight infants: a nationwide cohort study. Front Pediatr 2023; 11:1155921. [PMID: 37384307 PMCID: PMC10294267 DOI: 10.3389/fped.2023.1155921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 05/16/2023] [Indexed: 06/30/2023] Open
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 (NICU) of the Korean Neonatal Network (KNN), a nationwide VLBW infant registry (2013-2020). Overall, 45 prenatal and early perinatal clinical variables were selected. A multilayer perceptron (MLP)-based network analysis, which was recently introduced to predict diseases in preterm infants, was used for modeling and a stepwise approach. Additionally, we applied a complementary MLP network and established new BPD prediction models (PMbpd). The performances of the models were compared using the area under the receiver operating characteristic curve (AUROC) values. The Shapley method was used to determine the contribution of each variable. 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.
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Affiliation(s)
- Jae Kyoon Hwang
- Department of Pediatrics, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Dae Hyun Kim
- Department of Artificial Intelligence, Hanyang University, Seoul, Republic of Korea
| | - Jae Yoon Na
- Department of Pediatrics, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Joonhyuk Son
- Department of Pediatric Surgery, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Yoon Ju Oh
- Department of Artificial Intelligence, Hanyang University, Seoul, Republic of Korea
| | - Donggoo Jung
- Department of Artificial Intelligence, Hanyang University, Seoul, Republic of Korea
| | - Chang-Ryul Kim
- Department of Pediatrics, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Tae Hyun Kim
- Department of Computer Science, Hanyang University, Seoul, Republic of Korea
| | - Hyun-Kyung Park
- Department of Pediatrics, Hanyang University College of Medicine, Seoul, Republic of Korea
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7
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He W, Zhang L, Feng R, Fang WH, Cao Y, Sun SQ, Shi P, Zhou JG, Tang LF, Zhang XB, Qi YY. Risk factors and machine learning prediction models for bronchopulmonary dysplasia severity in the Chinese population. World J Pediatr 2023; 19:568-576. [PMID: 36357648 PMCID: PMC10198877 DOI: 10.1007/s12519-022-00635-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Accepted: 10/07/2022] [Indexed: 11/12/2022]
Abstract
BACKGROUND Bronchopulmonary dysplasia (BPD) is a common chronic lung disease in extremely preterm neonates. The outcome and clinical burden vary dramatically according to severity. Although some prediction tools for BPD exist, they seldom pay attention to disease severity and are based on populations in developed countries. This study aimed to develop machine learning prediction models for BPD severity based on selected clinical factors in a Chinese population. METHODS In this retrospective, single-center study, we included patients with a gestational age < 32 weeks who were diagnosed with BPD in our neonatal intensive care unit from 2016 to 2020. We collected their clinical information during the maternal, birth and early postnatal periods. Risk factors were selected through univariable and ordinal logistic regression analyses. Prediction models based on logistic regression (LR), gradient boosting decision tree, XGBoost (XGB) and random forest (RF) models were implemented and assessed by the area under the receiver operating characteristic curve (AUC). RESULTS We ultimately included 471 patients (279 mild, 147 moderate, and 45 severe cases). On ordinal logistic regression, gestational diabetes mellitus, initial fraction of inspiration O2 value, invasive ventilation, acidosis, hypochloremia, C-reactive protein level, patent ductus arteriosus and Gram-negative respiratory culture were independent risk factors for BPD severity. All the XGB, LR and RF models (AUC = 0.85, 0.86 and 0.84, respectively) all had good performance. CONCLUSIONS We found risk factors for BPD severity in our population and developed machine learning models based on them. The models have good performance and can be used to aid in predicting BPD severity in the Chinese population.
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Affiliation(s)
- Wen He
- Department of Respirology, Children's Hospital, Fudan University, 399 Wanyuan Road, Shanghai, 201102, China
| | - Lan Zhang
- Department of Neonatology, Children's Hospital, Fudan University, Shanghai, China
| | - Rui Feng
- Shanghai Key Laboratory of Intelligent Information Processing, School of Management and Statistics, Fudan University, Shanghai, China
| | - Wei-Han Fang
- Shanghai Pinghe Bilingual School, Shanghai, China
| | - Yun Cao
- Department of Neonatology, Children's Hospital, Fudan University, Shanghai, China
| | - Si-Qi Sun
- Shanghai Key Laboratory of Intelligent Information Processing, School of Management and Statistics, Fudan University, Shanghai, China
| | - Peng Shi
- Department of Data Management and Statistics, Children's Hospital of Fudan University, Shanghai, China
| | - Jian-Guo Zhou
- Department of Neonatology, Children's Hospital, Fudan University, Shanghai, China
| | - Liang-Feng Tang
- Department of Urology, Children's Hospital, Fudan University, Shanghai, China
| | - Xiao-Bo Zhang
- Department of Respirology, Children's Hospital, Fudan University, 399 Wanyuan Road, Shanghai, 201102, China.
| | - Yuan-Yuan Qi
- Department of Respirology, Children's Hospital, Fudan University, 399 Wanyuan Road, Shanghai, 201102, China.
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Yu Z, Wang L, Wang Y, Zhang M, Xu Y, Liu A. Development and Validation of a Risk Scoring Tool for Bronchopulmonary Dysplasia in Preterm Infants Based on a Systematic Review and Meta-Analysis. Healthcare (Basel) 2023; 11:healthcare11050778. [PMID: 36900783 PMCID: PMC10000930 DOI: 10.3390/healthcare11050778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 02/28/2023] [Accepted: 03/03/2023] [Indexed: 03/09/2023] Open
Abstract
Background: Bronchopulmonary dysplasia (BPD) is the most common serious pulmonary morbidity in preterm infants with high disability and mortality rates. Early identification and treatment of BPD is critical. Objective: This study aimed to develop and validate a risk scoring tool for early identification of preterm infants that are at high-risk for developing BPD. Methods: The derivation cohort was derived from a systematic review and meta-analysis of risk factors for BPD. The statistically significant risk factors with their corresponding odds ratios were utilized to construct a logistic regression risk prediction model. By scoring the weights of each risk factor, a risk scoring tool was established and the risk stratification was divided. External verification was carried out by a validation cohort from China. Results: Approximately 83,034 preterm infants with gestational age < 32 weeks and/or birth weight < 1500 g were screened in this meta-analysis, and the cumulative incidence of BPD was about 30.37%. The nine predictors of this model were Chorioamnionitis, Gestational age, Birth weight, Sex, Small for gestational age, 5 min Apgar score, Delivery room intubation, and Surfactant and Respiratory distress syndrome. Based on the weight of each risk factor, we translated it into a simple clinical scoring tool with a total score ranging from 0 to 64. External validation showed that the tool had good discrimination, the area under the curve was 0.907, and that the Hosmer-Lemeshow test showed a good fit (p = 0.3572). In addition, the results of the calibration curve and decision curve analysis suggested that the tool showed significant conformity and net benefit. When the optimal cut-off value was 25.5, the sensitivity and specificity were 0.897 and 0.873, respectively. The resulting risk scoring tool classified the population of preterm infants into low-risk, low-intermediate, high-intermediate, and high-risk groups. This BPD risk scoring tool is suitable for preterm infants with gestational age < 32 weeks and/or birth weight < 1500 g. Conclusions: An effective risk prediction scoring tool based on a systematic review and meta-analysis was developed and validated. This simple tool may play an important role in establishing a screening strategy for BPD in preterm infants and potentially guide early intervention.
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Affiliation(s)
- Zhumei Yu
- Department of Neonatology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
- School of Nursing, Anhui Medical University, Hefei 230032, China
| | - Lili Wang
- Department of Neonatology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Yang Wang
- Department of Neonatology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Min Zhang
- Department of Neonatology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Yanqin Xu
- Department of Neonatology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Annuo Liu
- School of Nursing, Anhui Medical University, Hefei 230032, China
- Correspondence:
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9
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Maytasari GM, Haksari EL, Prawirohartono EP. Predictors of Bronchopulmonary Dysplasia in Infants With Birth Weight Less Than 1500 g. Glob Pediatr Health 2023; 10:2333794X231152199. [PMID: 36756633 PMCID: PMC9900159 DOI: 10.1177/2333794x231152199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 12/28/2022] [Indexed: 02/05/2023] Open
Abstract
Bronchopulmonary dysplasia (BPD) is a complication of preterm and low birth weight infants. The incidence of BPD has not decreased over the past 20 years. Complications of BPD include rehospitalization, chronic lung disease, cardiovascular disease, and impaired growth and development which will affect the patient's quality of life. There are unfortunately limited data available regarding BPD in Indonesia. This study is expected to be a reference in taking preventive measures to reduce mortality and morbidity in preterm and low birth infants. This study aims to determine predictors of BPD in infants with birth weight less than 1500 g. We conducted a retrospective cohort study that included 116 infants with birth weight <1500 g. Twenty-two (19%) infants had BPD with the highest proportion (63.6%) in the 28 to 31 weeks of gestational age. Multivariate analysis showed mechanical ventilation in more than first 2 days of life (P = .008; HR = 7.7), hematocrit <39% (P = .001; HR = 12), and hemodynamically significant patent ductus arteriosus (hsPDA; P = .041; HR = 3.5) were significant predictors of BPD in infants with birth weight <1500 g.
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Affiliation(s)
- Galuh Martin Maytasari
- Universitas Gadjah Mada/Dr. Sardjito
General Hospital, Yogyakarta, Indonesia,Galuh Martin Maytasari, Department of Child
Health, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah
Mada, Jalan Farmako, Senolowo, Sekip Utara, Yogyakarta 55281, Indonesia.
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10
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Green EA, Garrick SP, Peterson B, Berger PJ, Galinsky R, Hunt RW, Cho SX, Bourke JE, Nold MF, Nold-Petry CA. The Role of the Interleukin-1 Family in Complications of Prematurity. Int J Mol Sci 2023; 24:ijms24032795. [PMID: 36769133 PMCID: PMC9918069 DOI: 10.3390/ijms24032795] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 01/20/2023] [Accepted: 01/22/2023] [Indexed: 02/05/2023] Open
Abstract
Preterm birth is a major contributor to neonatal morbidity and mortality. Complications of prematurity such as bronchopulmonary dysplasia (BPD, affecting the lung), pulmonary hypertension associated with BPD (BPD-PH, heart), white matter injury (WMI, brain), retinopathy of prematurity (ROP, eyes), necrotizing enterocolitis (NEC, gut) and sepsis are among the major causes of long-term morbidity in infants born prematurely. Though the origins are multifactorial, inflammation and in particular the imbalance of pro- and anti-inflammatory mediators is now recognized as a key driver of the pathophysiology underlying these illnesses. Here, we review the involvement of the interleukin (IL)-1 family in perinatal inflammation and its clinical implications, with a focus on the potential of these cytokines as therapeutic targets for the development of safe and effective treatments for early life inflammatory diseases.
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Affiliation(s)
- Elys A. Green
- Ritchie Centre, Hudson Institute of Medical Research, Melbourne, VIC 3168, Australia
- Department of Paediatrics, Monash University, Melbourne, VIC 3168, Australia
- Monash Newborn, Monash Children’s Hospital, Melbourne, VIC 3168, Australia
| | - Steven P. Garrick
- Ritchie Centre, Hudson Institute of Medical Research, Melbourne, VIC 3168, Australia
- Department of Paediatrics, Monash University, Melbourne, VIC 3168, Australia
| | - Briana Peterson
- Ritchie Centre, Hudson Institute of Medical Research, Melbourne, VIC 3168, Australia
- Department of Paediatrics, Monash University, Melbourne, VIC 3168, Australia
| | - Philip J. Berger
- Ritchie Centre, Hudson Institute of Medical Research, Melbourne, VIC 3168, Australia
- Department of Paediatrics, Monash University, Melbourne, VIC 3168, Australia
| | - Robert Galinsky
- Ritchie Centre, Hudson Institute of Medical Research, Melbourne, VIC 3168, Australia
- Department of Obstetrics and Gynaecology, Monash University, Melbourne, VIC 3168, Australia
| | - Rod W. Hunt
- Ritchie Centre, Hudson Institute of Medical Research, Melbourne, VIC 3168, Australia
- Department of Paediatrics, Monash University, Melbourne, VIC 3168, Australia
- Monash Newborn, Monash Children’s Hospital, Melbourne, VIC 3168, Australia
| | - Steven X. Cho
- Ritchie Centre, Hudson Institute of Medical Research, Melbourne, VIC 3168, Australia
- Department of Paediatrics, Monash University, Melbourne, VIC 3168, Australia
| | - Jane E. Bourke
- Department of Pharmacology, Biomedicine Discovery Institute, Monash University, Melbourne, VIC 3168, Australia
| | - Marcel F. Nold
- Ritchie Centre, Hudson Institute of Medical Research, Melbourne, VIC 3168, Australia
- Department of Paediatrics, Monash University, Melbourne, VIC 3168, Australia
- Monash Newborn, Monash Children’s Hospital, Melbourne, VIC 3168, Australia
| | - Claudia A. Nold-Petry
- Ritchie Centre, Hudson Institute of Medical Research, Melbourne, VIC 3168, Australia
- Department of Paediatrics, Monash University, Melbourne, VIC 3168, Australia
- Correspondence:
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11
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Schiller EA, Cohen K, Lin X, El-Khawam R, Hanna N. Extracellular Vesicle-microRNAs as Diagnostic Biomarkers in Preterm Neonates. Int J Mol Sci 2023; 24:2622. [PMID: 36768944 PMCID: PMC9916767 DOI: 10.3390/ijms24032622] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 01/24/2023] [Accepted: 01/25/2023] [Indexed: 02/03/2023] Open
Abstract
Neonates born prematurely (<37 weeks of gestation) are at a significantly increased risk of developing inflammatory conditions associated with high mortality rates, including necrotizing enterocolitis, bronchopulmonary dysplasia, and hypoxic-ischemic brain damage. Recently, research has focused on characterizing the content of extracellular vesicles (EVs), particularly microRNAs (miRNAs), for diagnostic use. Here, we describe the most recent work on EVs-miRNAs biomarkers discovery for conditions that commonly affect premature neonates.
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Affiliation(s)
- Emily A. Schiller
- Department of Foundational Medicine, New York University Long Island School of Medicine, Mineola, NY 11501, USA
| | - Koral Cohen
- Department of Foundational Medicine, New York University Long Island School of Medicine, Mineola, NY 11501, USA
| | - Xinhua Lin
- Department of Foundational Medicine, New York University Long Island School of Medicine, Mineola, NY 11501, USA
| | - Rania El-Khawam
- Department of Pediatrics, Division of Neonatology, New York University Langone Long Island Hospital, Mineola, NY 11501, USA
| | - Nazeeh Hanna
- Department of Foundational Medicine, New York University Long Island School of Medicine, Mineola, NY 11501, USA
- Department of Pediatrics, Division of Neonatology, New York University Langone Long Island Hospital, Mineola, NY 11501, USA
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12
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Radulova P, Vakrilova L, Hitrova-Nikolova S, Dimitrova V. Lung ultrasound in premature infants as an early predictor of bronchopulmonary dysplasia. JOURNAL OF CLINICAL ULTRASOUND : JCU 2022; 50:1322-1327. [PMID: 35353383 DOI: 10.1002/jcu.23207] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 03/08/2022] [Accepted: 03/12/2022] [Indexed: 06/14/2023]
Abstract
PURPOSE Lung ultrasound (LUS) is a widely used technique in neonates to diagnose a lot of acute diseases. However, its role in the diagnosis of chronic lung conditions is still to be evaluated. We aimed to describe the changes in ultrasound images as well as the appearance of lung consolidations (LC) in very low birth weight (VLBW) infants with and without bronchopulmonary dysplasia (BPD). METHODS For a period of 2 years we prospectively examined 124 VLBW infants, divided into two main groups: below 28 gestational weeks with two subgroups-BPD (moderate and severe) and non-BPD, and 28-32 gestational weeks with two subgroups-BPD (moderate and severe) and non-BPD group. We performed weekly LUS until 36 weeks' postmenstrual age (PMA). On the seventh postnatal day, we calculated the LUS score as a semiquantitative score that represents the aeration (0-3) in three different areas (upper anterior, lower anterior, lateral) of each lung. RESULTS We performed around 750 LUS exams. The BPD groups had LUS scores above 8 on the seventh day, p < 0.001. The number of LC was higher in the BPD groups 14 (3-45) than in the mild or non-BPD groups 2.5 (0-6), p < 0.001, and the difference was significant for the period between 1 week and 1 month after birth, p = 0.001. In the BPD group <28 weeks' PMA, LC appeared equally in the anterior, lateral, and posterior fields, while in the BPD group 28-32 weeks' PMA, LC are more typical for the anterior-lateral fields. CONCLUSION Serial LUS exams and identification of LC could be early predictors of moderate and severe forms of BPD. LUS score >8 on the seventh postnatal day is an early predictor of severe BPD. LC in more lung fields are typical for the severe forms of the disease.
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Affiliation(s)
- Petya Radulova
- Department of Obstetrics and Gynecology, Medical University of Sofia, Sofia, Bulgaria
- Neonatology Clinic, University Hospital of Obstetrics and Gynecology "Maichin Dom", Sofia, Bulgaria
| | - Liliya Vakrilova
- Department of Obstetrics and Gynecology, Medical University of Sofia, Sofia, Bulgaria
- Neonatology Clinic, University Hospital of Obstetrics and Gynecology "Maichin Dom", Sofia, Bulgaria
| | - Stanislava Hitrova-Nikolova
- Department of Obstetrics and Gynecology, Medical University of Sofia, Sofia, Bulgaria
- Neonatology Clinic, University Hospital of Obstetrics and Gynecology "Maichin Dom", Sofia, Bulgaria
| | - Violeta Dimitrova
- Department of Obstetrics and Gynecology, Medical University of Sofia, Sofia, Bulgaria
- Neonatology Clinic, University Hospital of Obstetrics and Gynecology "Maichin Dom", Sofia, Bulgaria
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13
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Barrett JS, Cala Pane M, Knab T, Roddy W, Beusmans J, Jordie E, Singh K, Davis JM, Romero K, Padula M, Thebaud B, Turner M. Landscape analysis for a neonatal disease progression model of bronchopulmonary dysplasia: Leveraging clinical trial experience and real-world data. Front Pharmacol 2022; 13:988974. [PMID: 36313352 PMCID: PMC9597633 DOI: 10.3389/fphar.2022.988974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 09/21/2022] [Indexed: 11/27/2022] Open
Abstract
The 21st Century Cures Act requires FDA to expand its use of real-world evidence (RWE) to support approval of previously approved drugs for new disease indications and post-marketing study requirements. To address this need in neonates, the FDA and the Critical Path Institute (C-Path) established the International Neonatal Consortium (INC) to advance regulatory science and expedite neonatal drug development. FDA recently provided funding for INC to generate RWE to support regulatory decision making in neonatal drug development. One study is focused on developing a validated definition of bronchopulmonary dysplasia (BPD) in neonates. BPD is difficult to diagnose with diverse disease trajectories and few viable treatment options. Despite intense research efforts, limited understanding of the underlying disease pathobiology and disease projection continues in the context of a computable phenotype. It will be important to determine if: 1) a large, multisource aggregation of real-world data (RWD) will allow identification of validated risk factors and surrogate endpoints for BPD, and 2) the inclusion of these simulations will identify risk factors and surrogate endpoints for studies to prevent or treat BPD and its related long-term complications. The overall goal is to develop qualified, fit-for-purpose disease progression models which facilitate credible trial simulations while quantitatively capturing mechanistic relationships relevant for disease progression and the development of future treatments. The extent to which neonatal RWD can inform these models is unknown and its appropriateness cannot be guaranteed. A component of this approach is the critical evaluation of the various RWD sources for context-of use (COU)-driven models. The present manuscript defines a landscape of the data including targeted literature searches and solicitation of neonatal RWD sources from international stakeholders; analysis plans to develop a family of models of BPD in neonates, leveraging previous clinical trial experience and real-world patient data is also described.
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Affiliation(s)
- Jeffrey S. Barrett
- Critical Path Institute, Tucson, AZ, United States
- *Correspondence: Jeffrey S. Barrett,
| | | | - Timothy Knab
- Metrum Research Group, Tariffville, CT, United States
| | | | - Jack Beusmans
- Metrum Research Group, Tariffville, CT, United States
| | - Eric Jordie
- Metrum Research Group, Tariffville, CT, United States
| | | | - Jonathan Michael Davis
- Tufts Medical Center and the Tufts Clinical and Translational Science Institute, Boston, MA, United States
| | - Klaus Romero
- Critical Path Institute, Tucson, AZ, United States
| | - Michael Padula
- Division of Neonatology, Children’s Hospital of Philadelphia, Philadelphia, PA, United States
| | - Bernard Thebaud
- Department of Pediatrics, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Mark Turner
- Department of Women’s and Children’s Health Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom
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14
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Ye C, Wu J, Reiss JD, Sinclair TJ, Stevenson DK, Shaw GM, Chace DH, Clark RH, Prince LS, Ling XB, Sylvester KG. Progressive Metabolic Abnormalities Associated with the Development of Neonatal Bronchopulmonary Dysplasia. Nutrients 2022; 14:nu14173547. [PMID: 36079804 PMCID: PMC9459725 DOI: 10.3390/nu14173547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 08/25/2022] [Accepted: 08/26/2022] [Indexed: 11/16/2022] Open
Abstract
Objective: To assess the longitudinal metabolic patterns during the evolution of bronchopulmonary dysplasia (BPD) development. Methods: A case-control dataset of preterm infants (<32-week gestation) was obtained from a multicenter database, including 355 BPD cases and 395 controls. A total of 72 amino acid (AA) and acylcarnitine (AC) variables, along with infants’ calorie intake and growth outcomes, were measured on day of life 1, 7, 28, and 42. Logistic regression, clustering methods, and random forest statistical modeling were utilized to identify metabolic variables significantly associated with BPD development and to investigate their longitudinal patterns that are associated with BPD development. Results: A panel of 27 metabolic variables were observed to be longitudinally associated with BPD development. The involved metabolites increased from 1 predominant different AC by day 7 to 19 associated AA and AC compounds by day 28 and 16 metabolic features by day 42. Citrulline, alanine, glutamate, tyrosine, propionylcarnitine, free carnitine, acetylcarnitine, hydroxybutyrylcarnitine, and most median-chain ACs (C5:C10) were the most associated metabolites down-regulated in BPD babies over the early days of life, whereas phenylalanine, methionine, and hydroxypalmitoylcarnitine were observed to be up-regulated in BPD babies. Most calorie intake and growth outcomes revealed similar longitudinal patterns between BPD cases and controls over the first 6 weeks of life, after gestational adjustment. When combining with birth weight, the derived metabolic-based discriminative model observed some differences between those with and without BPD development, with c-statistics of 0.869 and 0.841 at day 7 and 28 of life on the test data. Conclusions: The metabolic panel we describe identified some metabolic differences in the blood associated with BPD pathogenesis. Further work is needed to determine whether these compounds could facilitate the monitoring and/or investigation of early-life metabolic status in the lung and other tissues for the prevention and management of BPD.
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Affiliation(s)
- Chengyin Ye
- Department of Health Management, School of Public Health, Hangzhou Normal University, Hangzhou 311100, China
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94304, USA
| | - Jinghua Wu
- Department of Health Management, School of Public Health, Hangzhou Normal University, Hangzhou 311100, China
| | - Jonathan D. Reiss
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94304, USA
- Stanford Metabolic Health Center, Stanford Children’s Hospital, Stanford, CA 94304, USA
| | - Tiffany J. Sinclair
- Department of Surgery, Division of Pediatric Surgery, Stanford University School of Medicine, Stanford, CA 94304, USA
| | - David K. Stevenson
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94304, USA
- Stanford Metabolic Health Center, Stanford Children’s Hospital, Stanford, CA 94304, USA
| | - Gary M. Shaw
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94304, USA
| | | | - Reese H. Clark
- Pediatrix-Obstetrix Center for Research, Education and Quality, Sunrise, FL 33323, USA
| | - Lawrence S. Prince
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94304, USA
| | - Xuefeng Bruce Ling
- Department of Surgery, Division of Pediatric Surgery, Stanford University School of Medicine, Stanford, CA 94304, USA
- Clinical and Translational Research Program, Betty Irene Moore Children’s Heart Center, Lucile Packard Children’s Hospital, Palo Alto, CA 94304, USA
- Correspondence: (X.B.L.); (K.G.S.); Tel.: +1-650-723-6439 (K.G.S.); Fax: +1-650-725-5577 (K.G.S.)
| | - Karl G. Sylvester
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94304, USA
- Stanford Metabolic Health Center, Stanford Children’s Hospital, Stanford, CA 94304, USA
- Department of Surgery, Division of Pediatric Surgery, Stanford University School of Medicine, Stanford, CA 94304, USA
- Correspondence: (X.B.L.); (K.G.S.); Tel.: +1-650-723-6439 (K.G.S.); Fax: +1-650-725-5577 (K.G.S.)
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15
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Feldman K, Nitkin CR, Cuna A, Oschman A, Truog WE, Norberg M, Nyp M, Taylor JB, Lewis T. Corticosteroid response predicts bronchopulmonary dysplasia status at 36 weeks in preterm infants treated with dexamethasone: A pilot study. Pediatr Pulmonol 2022; 57:1760-1769. [PMID: 35434928 DOI: 10.1002/ppul.25928] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 04/06/2022] [Accepted: 04/15/2022] [Indexed: 11/09/2022]
Abstract
IMPORTANCE A major barrier to therapeutic development in neonates is a lack of standardized drug response measures that can be used as clinical trial endpoints. The ability to quantify treatment response in a way that aligns with relevant downstream outcomes may be useful as a surrogate marker for new therapies, such as those for bronchopulmonary dysplasia (BPD). OBJECTIVE To construct a measure of clinical response to dexamethasone that was well aligned with the incidence of severe BPD or death at 36 weeks' postmenstrual age. DESIGN Retrospective cohort study. SETTING Level IV Neonatal Intensive Care Unit. PARTICIPANTS Infants treated with dexamethasone for developing BPD between 2010 and 2020. MAIN OUTCOME(S) AND MEASURE(S) Two models were built based on demographics, changes in ventilatory support, and partial pressure of carbon dioxide (pCO2 ) after dexamethasone administration. An ordinal logistic regression and regularized binary logistic model for the composite outcome were used to associate response level to BPD outcomes defined by both the 2017 BPD Collaborative and 2018 Neonatal Research Network definitions. RESULTS Ninety-five infants were treated with dexamethasone before 36 weeks. Compared to the baseline support and demographic data at the time of treatment, changes in ventilatory support improved ordinal model sensitivity and specificity. For the binary classification, BPD incidence was well aligned with risk levels, increasing from 16% to 59%. CONCLUSIONS AND RELEVANCE Incorporation of response variables as measured by changes in ventilatory parameters and pCO2 following dexamethasone administration were associated with downstream outcomes. Incorporating drug response phenotype into a BPD model may enable more rapid development of future therapeutics.
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Affiliation(s)
- Keith Feldman
- Department of Pediatrics, Division of Health Services and Outcomes Research, Children's Mercy Kansas City, Kansas City, Missouri, USA.,Children's Mercy Kansas City, Center for Infant Pulmonary Disorders, Kansas City, Missouri, USA.,Department of Pediatrics, University of Missouri Kansas City School of Medicine, Kansas City, Missouri, USA
| | - Christopher R Nitkin
- Children's Mercy Kansas City, Center for Infant Pulmonary Disorders, Kansas City, Missouri, USA.,Department of Pediatrics, University of Missouri Kansas City School of Medicine, Kansas City, Missouri, USA.,Department of Pediatrics, Division of Neonatology, Children's Mercy Kansas City, Kansas City, Missouri, USA
| | - Alain Cuna
- Children's Mercy Kansas City, Center for Infant Pulmonary Disorders, Kansas City, Missouri, USA.,Department of Pediatrics, University of Missouri Kansas City School of Medicine, Kansas City, Missouri, USA.,Department of Pediatrics, Division of Neonatology, Children's Mercy Kansas City, Kansas City, Missouri, USA
| | - Alexandra Oschman
- Children's Mercy Kansas City, Center for Infant Pulmonary Disorders, Kansas City, Missouri, USA.,Department of Pediatrics, Division of Clinical Pharmacology, Toxicology and Therapeutic Innovation, Children's Mercy Kansas City, Kansas City, Missouri, USA
| | - William E Truog
- Children's Mercy Kansas City, Center for Infant Pulmonary Disorders, Kansas City, Missouri, USA.,Department of Pediatrics, University of Missouri Kansas City School of Medicine, Kansas City, Missouri, USA.,Department of Pediatrics, Division of Neonatology, Children's Mercy Kansas City, Kansas City, Missouri, USA
| | - Michael Norberg
- Children's Mercy Kansas City, Center for Infant Pulmonary Disorders, Kansas City, Missouri, USA.,Department of Pediatrics, Division of Neonatology, Children's Mercy Kansas City, Kansas City, Missouri, USA
| | - Michael Nyp
- Children's Mercy Kansas City, Center for Infant Pulmonary Disorders, Kansas City, Missouri, USA.,Department of Pediatrics, University of Missouri Kansas City School of Medicine, Kansas City, Missouri, USA.,Department of Pediatrics, Division of Neonatology, Children's Mercy Kansas City, Kansas City, Missouri, USA
| | - Jane B Taylor
- Department of Pediatrics, Division of Pulmonology, UPMC - Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Tamorah Lewis
- Children's Mercy Kansas City, Center for Infant Pulmonary Disorders, Kansas City, Missouri, USA.,Department of Pediatrics, University of Missouri Kansas City School of Medicine, Kansas City, Missouri, USA.,Department of Pediatrics, Division of Neonatology, Children's Mercy Kansas City, Kansas City, Missouri, USA
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16
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Lin B, Xiong X, Lu X, Zhao J, Huang Z, Chen X. Enteral Feeding/Total Fluid Intake Ratio Is Associated With Risk of Bronchopulmonary Dysplasia in Extremely Preterm Infants. Front Pediatr 2022; 10:899785. [PMID: 35712615 PMCID: PMC9194508 DOI: 10.3389/fped.2022.899785] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Accepted: 05/11/2022] [Indexed: 12/02/2022] Open
Abstract
Background Nutrition is an essential factor in preventing and managing bronchopulmonary dysplasia (BPD), a multifactorial chronic respiratory disease in premature infants. This study examined the association between nutritional intakes during the first 2 weeks of life and BPD in extremely preterm infants. Methods A retrospective single-center cohort study was performed in infants born <28 weeks' gestational age or with a birth weight <1,000 g. Intake of energy and ratio of enteral feeding/ total fluid intake during the first 2 weeks of life and association with outcome of BPD were examined. Results 134 infants were included in our study, and 43 infants (32.1%) developed BPD. During the first 2 weeks of life, the average of total caloric intake and the ratio of enteral feeding/ total fluid intake were significantly lower in the BPD group (total caloric intake:91.90 vs. 95.72 kcal/kg/d, p < 0.05, ratio of enteral feeding/total fluid intake: 0.14 vs. 0.18, p < 0.05), while the average of total fluid intake, caloric and protein intake from parenteral nutrition did not differ between the groups. The ratio of enteral feeding/ total fluid intake during the second week were significantly lower in the BPD group (0.21 vs. 0.28, p < 0.05), while this ratio during the first week did not differ between the groups. An increase of 10% in the ratio of enteral feeding/ total fluid intake during the second week of life significantly reduced the risk of BPD (OR 0.444, 95% CI: 0.270-0.731). Conclusions A higher ratio of enteral feeding/ total fluid intake was associated with a lower risk for BPD. Early and rapidly progressive enteral nutrition should be encouraged in extremely preterm infants in the absence of feeding intolerance.
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Affiliation(s)
| | | | | | | | | | - Xueyu Chen
- Department of Neonatology, Shenzhen Maternity and Child Healthcare Hospital, Shandong University, Shenzhen, China
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17
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Continuing interventions in a quality improvement bundle to reduce bronchopulmonary dysplasia. World J Pediatr 2022; 18:278-282. [PMID: 35179711 DOI: 10.1007/s12519-021-00508-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 12/22/2021] [Indexed: 10/19/2022]
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18
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Wang H, Yan D, Wu Z, Geng H, Zhu X, Zhu X. Predictive values of clinical data,molecular biomarkers, and echocardiographic measurements in preterm infants with bronchopulmonary dysplasia. Front Pediatr 2022; 10:1070858. [PMID: 36923947 PMCID: PMC10008901 DOI: 10.3389/fped.2022.1070858] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Accepted: 11/30/2022] [Indexed: 03/01/2023] Open
Abstract
Objective We aimed to use molecular biomarkers and clinical data and echocardiograms that were collected during admission to predict bronchopulmonary dysplasia (BPD) in preterm infants with gestational age ≤32 weeks. Methods Eighty-two patients (40 with BPD, BPD group and 42 healthy as controls, non-BPD group) admitted to the Department of Neonatology of the Children's Hospital of Soochow University between October 1, 2018, and February 29, 2020, were enrolled in this study at the tertiary hospital. Basic clinical data on the perinatal period, echocardiographic measurements, and molecular biomarkers (N-terminal-pro-B-brain natriuretic peptide, NT-proBNP) were collected. We used multiple logistic regression analysis to establish an early predictive model for detecting BPD development in preterm infants of gestational age ≤32 weeks. We also used a receiver operating characteristic curve to assess the sensitivity and specificity of the model. Results No significant differences were found between the BPD and non-BPD groups in terms of sex, birth weight, gestational age, incidence of asphyxia, maternal age, gravidity, parity, mode of delivery, premature rupture of membranes >18 h, use of prenatal hormones, placental abruption, gestational diabetes mellitus, amniotic fluid contamination, prenatal infections, and maternal diseases. The use of caffeine, albumin, gamma globulin; ventilation; days of FiO2 ≥ 40%; oxygen inhalation time; red blood cell suspension infusion volume (ml/kg); and proportion of infants who received total enteral nutrition (120 kcal/kg.d) ≥24 d after birth were higher in the BPD group than in the non-BPD group. The levels of hemoglobin, hematocrit, and albumin in the BPD group were significantly lower than those in the non-BPD group. The total calorie intake was significantly lower in the BPD group on the 3rd, 7th, and 14th day after birth than in the non-BPD group (P < 0.05). The incidence rates of patent ductus arteriosus (PDA), pulmonary hypertension, and tricuspid regurgitation were significantly higher in the BPD group than in the non-BPD group (P < 0.05). The serum level of NT-proBNP 24 h after birth was significantly higher in the BPD group than in the non-BPD group (P < 0.05). Serum NT-proBNP levels were significantly higher in infants with severe BPD than in those with mild or moderate BPD (P < 0.05). Conclusion As there were various risk factors for BPD, a combining clinical data, molecular biomarkers, and echocardiogram measurements can be valuable in predicting the BPD. The tricuspid regurgitation flow rate (m/s), NT-proBNP (pg/ml), ventilator-associated pneumonia, days of FiO2 ≥ 40% (d), red blood cell suspension infusion volume (ml/kg), and proportion of infants who received total enteral nutrition (120 kcal/kg.d) ≥24 d after birth were the most practical factors considered for designing an appropriate model for predicting the risk of BPD.
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Affiliation(s)
- Huawei Wang
- Department of Neonatology, Children's Hospital of Soochow University, Suzhou, China
| | - Dongya Yan
- Department of Neonatology, Children's Hospital of Soochow University, Suzhou, China.,Department of Neonatology, Children's Hospital of Anhui Province, Hefei, China
| | - Zhixin Wu
- Department of Neonatology, Children's Hospital of Soochow University, Suzhou, China
| | - Haifeng Geng
- Department of Neonatology, Children's Hospital of Soochow University, Suzhou, China
| | - Xueping Zhu
- Department of Neonatology, Children's Hospital of Soochow University, Suzhou, China
| | - Xiaoli Zhu
- Department of Intervention, The First Affiliated Hospital of Soochow University, Suzhou, China
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19
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Huang L, Guo N, Cheng M, Wang J, Chen F, Shi Y. The value of plasma insulin-like growth factor 1 and interleukin-18 in the diagnosis of bronchopulmonary dysplasia in premature infants. Front Pediatr 2022; 10:1013537. [PMID: 36304530 PMCID: PMC9592911 DOI: 10.3389/fped.2022.1013537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Accepted: 09/22/2022] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVE To explore the diagnostic value of IGF-1 and IL-18 in premature infants with BPD. METHODS Through a prospective observational study, the serum samples of infants in the BPD group and the non-BPD group were collected at different targeted time points, and the serum IGF-1 and IL-18 concentrations were dynamically monitored by ELISA. The Student t-test and one-way analysis of variance were adopted to analyze data, and the receiver operating characteristic (ROC) curve was used to test the diagnostic value. RESULT A total of 90 VLBW premature infants admitted to NICU between January 2020 and 2021 were finally included. Compared with the non-BPD group, infants diagnosed with BPD had a significantly lower serum concentration of IGF-1 (P < 0.05) but a higher level of IL-18 (P < 0.05) on days 1, 7, 14, and 28 after birth. With the ROC curve analysis, the serum concentration IGF-1 on day 14 and IL-18 on day 28 reported high sensitivity and specificity to predict the risk of BPD (IGF-1: sensitivity: 89.29%, specificity: 77.78%, AUC: 0.8710; IL-18: sensitivity: 53.57%, specificity: 83.33%, AUC: 0.7887). And more substantial predictive power was found in combined analysis of IGF-1 and serum IL-18 on day 14: the sensitivity was 91.07% and the specificity was 83.33%, with the AUC of 0.9142. CONCLUSION IGF-1 and IL-18 might be closely involved in the occurrence and development of BPD. The serum concentration of IGF-1 combined with IL-18 could be potentially sensitive markers for the early diagnosis and severity of BPD.
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Affiliation(s)
- Lie Huang
- Department of Neonatology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Ning Guo
- Department of Neonatology, The First People's Hospital of Yinchuan, Ningxia Medical University, Yinchuan, China
| | - Meile Cheng
- Department of Neonatology, The First People's Hospital of Yinchuan, Ningxia Medical University, Yinchuan, China
| | - Jianhui Wang
- Department of Neonatology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Feifan Chen
- Department of Neonatology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Yuan Shi
- Department of Neonatology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
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20
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Zhang R, Xu FL, Li WL, Qin FY, Jin XY, Zhang Y, Zhang C, Zhu C. Construction of early risk prediction models for bronchopulmonary dysplasia in preterm infants. ZHONGGUO DANG DAI ER KE ZA ZHI = CHINESE JOURNAL OF CONTEMPORARY PEDIATRICS 2021; 23:994-1001. [PMID: 34719413 PMCID: PMC8549639 DOI: 10.7499/j.issn.1008-8830.2107035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 08/22/2021] [Indexed: 11/21/2022]
Abstract
OBJECTIVES To construct risk prediction models for bronchopulmonary dysplasia (BPD) in preterm infants on postnatal days 3, 7, and 14. METHODS A retrospective analysis was performed on the medical data of 414 preterm infants, with a gestational age of <32 weeks and a birth weight (BW) of <1 500 g, who were admitted to the neonatal intensive care unit from July 2019 to April 2021. According to the diagnostic criteria for BPD revised in 2018, they were divided into a BPD group with 98 infants and a non-BPD group with 316 infants. The two groups were compared in terms of general status, laboratory examination results, treatment, and complications. The logistic regression model was used to identify the variables associated with BPD. The receiver operating characteristic (ROC) curve was used to evaluate the predictive value of models. RESULTS The logistic regression analysis showed that BW, asphyxia, grade III-IV respiratory distress syndrome (RDS), acute chorioamnionitis, interstitial pneumonia, fraction of inspired oxygen (FiO2), and respiratory support mode were the main risk factors for BPD (P<0.05). The prediction models on postnatal days 7 and 14 were established as logit (P7) =-2.049-0.004×BW (g) +0.686×asphyxia (no=0, yes=1) +1.842×grade III-IV RDS (no=0, yes=1) +0.906×acute chorioamnionitis (no=0, yes=1) +0.506×interstitial pneumonia (no=0, yes=1) +0.116×FiO2 (%) +0.816×respiratory support mode (no=0, nasal tube=1, nasal continuous positive airway pressure=2, conventional mechanical ventilation=3, high-frequency mechanical ventilation=4) and logit (P14) =-1.200-0.004×BW (g) +0.723×asphyxia+2.081×grade III-IV RDS+0.799×acute chorioamnionitis+0.601×interstitial pneumonia+0.074×FiO2 (%) +0.800×respiratory support mode, with an area under the ROC curve (AUC) of 0.876 and 0.880, respectively, which was significantly larger than the AUC of the prediction model on postnatal day 3 (P<0.05). CONCLUSIONS BW, asphyxia, grade III-IV RDS, acute chorioamnionitis, interstitial pneumonia, FiO2, and respiratory support mode are the main risk factors for BPD and can be used to construct risk prediction models. The prediction models on postnatal days 7 and 14 can effectively predict BPD.
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Affiliation(s)
- Ru Zhang
- Department of Neonatology, Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China (Xu F-L, )
| | - Fa-Lin Xu
- Department of Neonatology, Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China (Xu F-L, )
| | - Wen-Li Li
- Department of Neonatology, Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China (Xu F-L, )
| | - Fan-Yue Qin
- Department of Neonatology, Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China (Xu F-L, )
| | - Xin-Yun Jin
- Department of Neonatology, Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China (Xu F-L, )
| | - Yi Zhang
- Department of Neonatology, Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China (Xu F-L, )
| | - Chen Zhang
- Department of Neonatology, Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China (Xu F-L, )
| | - Chu Zhu
- Department of Neonatology, Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China (Xu F-L, )
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21
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Ozdemir R, Gokce IK, Taslidere AC, Tanbek K, Gul CC, Sandal S, Turgut H, Kaya H, Aslan M. Does Chrysin prevent severe lung damage in Hyperoxia-Induced lung injury Model? Int Immunopharmacol 2021; 99:108033. [PMID: 34343938 DOI: 10.1016/j.intimp.2021.108033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 07/27/2021] [Accepted: 07/27/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Oxidative stress and inflammation play a critical role in the etiopathogenesis of bronchopulmonary dysplasia (BPD). The aim of this study was to evaluate the preventive effect of Chrysin (CH), an antioxidant, antiinflammatory, antiapoptotic and antifibrotic drug, on hyperoxia-induced lung injury in a neonatal rat model. METHODS Forty infant rats were divided into four groups labeled the Control, CH, BPD, and BPD + CH. The control and CH groups were kept in a normal room environment, while the BPD and BPD + CH groups were kept in a hyperoxic (90-95%) environment. At the end of the study, lung tissue was evaluated with respect to apoptosis, histopathological damage and alveolar macrophage score as well as oxidant capacity, antioxidant capacity, and inflammation. RESULTS Compared to the BPD + CH and control groups, the lung tissues of the BPD group displayed substantially higher levels of MDA, TOS, TNF-α, and IL-1β (p < 0.05). While the BPD + CH group showed similar levels of TNF-α and IL-1β as the control group, MDA and TOS levels were higher than the control group, and significantly lower than the BPD group (p < 0.05). The BPD group exhibited considerably lower levels of TAS, SOD, GSH, and GSH-Px in comparison to the control group (p < 0.05). The BPD and BPD + CH groups exhibited higher mean scores of histopathological damage and alveolar macrophage when compared to the control and CH groups (p ≤ 0.0001). Both scores were found to be lower in the BPD + CH group in comparison to the BPD group (p ≤ 0.0001). The BPD + CH group demonstrated a significantly lower average of TUNEL and caspase-3 positive cells than the BPD group. CONCLUSION We found that prophylaxis with CH results in lower histopathological damage score and reduces apoptotic cell count, inflammation and oxidative stress while increasing anti-oxidant capacity.
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Affiliation(s)
- Ramazan Ozdemir
- Division of Neonatology, Department of Pediatrics, Inonu University School of Medicine, Malatya, Turkey.
| | - Ismail Kursat Gokce
- Division of Neonatology, Department of Pediatrics, Inonu University School of Medicine, Malatya, Turkey
| | - Asli Cetin Taslidere
- Department of Histology and Embryology, Inonu University School of Medicine, Malatya, Turkey
| | - Kevser Tanbek
- Department of Physiology, Inonu University School of Medicine, Malatya, Turkey
| | - Cemile Ceren Gul
- Department of Histology and Embryology, Inonu University School of Medicine, Malatya, Turkey
| | - Suleyman Sandal
- Department of Physiology, Inonu University School of Medicine, Malatya, Turkey
| | - Hatice Turgut
- Division of Neonatology, Department of Pediatrics, Inonu University School of Medicine, Malatya, Turkey
| | - Huseyin Kaya
- Division of Neonatology, Department of Pediatrics, Inonu University School of Medicine, Malatya, Turkey
| | - Mehmet Aslan
- Department of Pediatrics, Inonu University School of Medicine, Malatya, Turkey
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22
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Ali A, Zambrano R, Duncan MR, Chen S, Luo S, Yuan H, Chen P, Benny M, Schmidt A, Young K, Kerr N, de Rivero Vaccari JP, Keane RW, Dietrich WD, Wu S. Hyperoxia-activated circulating extracellular vesicles induce lung and brain injury in neonatal rats. Sci Rep 2021; 11:8791. [PMID: 33888735 PMCID: PMC8062626 DOI: 10.1038/s41598-021-87706-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 03/16/2021] [Indexed: 01/02/2023] Open
Abstract
Hyperoxia-induced lung injury plays a key role in the development of bronchopulmonary dysplasia (BPD), characterized by inflammatory injury and impaired lung development in preterm infants. Although BPD is a predictor of poor neurodevelopmental outcomes, currently it is uncertain how lung injury contributes to brain injury in preterm infants. Extracellular vesicles (EVs) are a heterogeneous group of cell-derived membranous structures that regulate intercellular and inter-organ communications. Gasdermin D (GSDMD) has emerged as a key executor of inflammasome-mediated cell death and inflammation. In this study, we utilized a neonatal rat model of BPD to assess if hyperoxia stimulates lung release of circulating EVs and if these EVs induce lung and brain injury. We found that hyperoxia-exposed rats had elevated numbers of plasma-derived EVs compared to rats maintained in room air. These EVs also had increased cargos of surfactant protein C, a marker of type II alveolar epithelial cells (AEC), and the active (p30) form of GSDMD. When these EVs were adoptively transferred into normal newborn rats via intravenous injection, they were taken up both by lung and brain tissues. Moreover, EVs from hyperoxic animals induced not only the pathological hallmarks of BPD, but also brain inflammatory injury in recipient rats, as well as inducing cell death in cultured pulmonary vascular endothelial cells and neural stem cells (NSC). Similarly, hyperoxia-exposed cultured AEC-like cells released EVs that also contained increased GSDMD-p30 and these EVs induced pyroptotic cell death in NSC. Overall, these data indicate that hyperoxia-activated circulating EVs mediate a lung to brain crosstalk resulting in brain injury and suggest a mechanism that links lung injury and neurodevelopmental impairment in BPD infants.
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Affiliation(s)
- Anum Ali
- Division of Neonatology and Batchelor Children's Research Institute, Department of Pediatrics, University of Miami Miller School of Medicine, P. O. Box 016960, Miami, FL, 33101, USA
| | - Ronald Zambrano
- Division of Neonatology and Batchelor Children's Research Institute, Department of Pediatrics, University of Miami Miller School of Medicine, P. O. Box 016960, Miami, FL, 33101, USA
| | - Matthew R Duncan
- Division of Neonatology and Batchelor Children's Research Institute, Department of Pediatrics, University of Miami Miller School of Medicine, P. O. Box 016960, Miami, FL, 33101, USA
| | - Shaoyi Chen
- Division of Neonatology and Batchelor Children's Research Institute, Department of Pediatrics, University of Miami Miller School of Medicine, P. O. Box 016960, Miami, FL, 33101, USA
| | - Shihua Luo
- Division of Neonatology and Batchelor Children's Research Institute, Department of Pediatrics, University of Miami Miller School of Medicine, P. O. Box 016960, Miami, FL, 33101, USA
| | - Huijun Yuan
- Division of Neonatology and Batchelor Children's Research Institute, Department of Pediatrics, University of Miami Miller School of Medicine, P. O. Box 016960, Miami, FL, 33101, USA
| | - Pingping Chen
- Division of Neonatology and Batchelor Children's Research Institute, Department of Pediatrics, University of Miami Miller School of Medicine, P. O. Box 016960, Miami, FL, 33101, USA
| | - Merline Benny
- Division of Neonatology and Batchelor Children's Research Institute, Department of Pediatrics, University of Miami Miller School of Medicine, P. O. Box 016960, Miami, FL, 33101, USA
| | - Augusto Schmidt
- Division of Neonatology and Batchelor Children's Research Institute, Department of Pediatrics, University of Miami Miller School of Medicine, P. O. Box 016960, Miami, FL, 33101, USA
| | - Karen Young
- Division of Neonatology and Batchelor Children's Research Institute, Department of Pediatrics, University of Miami Miller School of Medicine, P. O. Box 016960, Miami, FL, 33101, USA
| | - Nadine Kerr
- Department of Neurological Surgery, Miami Project to Cure Paralysis, University of Miami Miller School of Medicine, Miami, USA.,Department of Physiology and Biophysics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Juan Pablo de Rivero Vaccari
- Department of Neurological Surgery, Miami Project to Cure Paralysis, University of Miami Miller School of Medicine, Miami, USA.,Department of Physiology and Biophysics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Robert W Keane
- Department of Neurological Surgery, Miami Project to Cure Paralysis, University of Miami Miller School of Medicine, Miami, USA.,Department of Physiology and Biophysics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - W Dalton Dietrich
- Department of Neurological Surgery, Miami Project to Cure Paralysis, University of Miami Miller School of Medicine, Miami, USA
| | - Shu Wu
- Division of Neonatology and Batchelor Children's Research Institute, Department of Pediatrics, University of Miami Miller School of Medicine, P. O. Box 016960, Miami, FL, 33101, USA.
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23
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[Association of early nutrition deficiency with the risk of bronchopulmonary dysplasia: a Meta analysis]. ZHONGGUO DANG DAI ER KE ZA ZHI = CHINESE JOURNAL OF CONTEMPORARY PEDIATRICS 2021; 23. [PMID: 33840412 PMCID: PMC8050541 DOI: 10.7499/j.issn.1008-8830.2011094] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
OBJECTIVE To systematically evaluate the association of early nutrition intake with the risk of bronchopulmonary dysplasia (BPD). METHODS PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure, Wanfang Data, and Weipu Periodical Database were searched for the observational studies on the association between early nutrition intake and BPD. RevMan 5.3 software was used to perform a Meta analysis of eligible studies. RESULTS Eight observational studies were included, with 548 infants with BPD and 522 infants without BPD. The Meta analysis showed that the BPD group had a significantly lower caloric intake than the non-BPD group within the first week after birth and in the first 2 weeks after birth (P < 0.05). The BPD group had a significantly lower enteral nutrition intake than the non-BPD group (WMD=-18.27, 95%CI:-29.70 to -6.84, P < 0.05), as well as a significantly lower intake of carbohydrate, fat, and protein (P < 0.05). The BPD group had a significantly longer duration of parenteral nutrition than the non-BPD group (WMD=14.26, 95%CI:13.26-15.25, P < 0.05). CONCLUSIONS Early nutrition deficiency may be associated with the development of BPD, and more attention should be paid to enteral feeding of infants at a high risk of BPD to achieve total enteral feeding as soon as possible.
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24
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Muehlbacher T, Bassler D, Bryant MB. Evidence for the Management of Bronchopulmonary Dysplasia in Very Preterm Infants. CHILDREN (BASEL, SWITZERLAND) 2021; 8:298. [PMID: 33924638 PMCID: PMC8069828 DOI: 10.3390/children8040298] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 04/08/2021] [Accepted: 04/09/2021] [Indexed: 12/15/2022]
Abstract
BACKGROUND Very preterm birth often results in the development of bronchopulmonary dysplasia (BPD) with an inverse correlation of gestational age and birthweight. This very preterm population is especially exposed to interventions, which affect the development of BPD. OBJECTIVE The goal of our review is to summarize the evidence on these daily procedures and provide evidence-based recommendations for the management of BPD. METHODS We conducted a systematic literature research using MEDLINE/PubMed on antenatal corticosteroids, surfactant-replacement therapy, caffeine, ventilation strategies, postnatal corticosteroids, inhaled nitric oxide, inhaled bronchodilators, macrolides, patent ductus arteriosus, fluid management, vitamin A, treatment of pulmonary hypertension and stem cell therapy. RESULTS Evidence provided by meta-analyses, systematic reviews, randomized controlled trials (RCTs) and large observational studies are summarized as a narrative review. DISCUSSION There is strong evidence for the use of antenatal corticosteroids, surfactant-replacement therapy, especially in combination with noninvasive ventilation strategies, caffeine and lung-protective ventilation strategies. A more differentiated approach has to be applied to corticosteroid treatment, the management of patent ductus arteriosus (PDA), fluid-intake and vitamin A supplementation, as well as the treatment of BPD-associated pulmonary hypertension. There is no evidence for the routine use of inhaled bronchodilators and prophylactic inhaled nitric oxide. Stem cell therapy is promising, but should be used in RCTs only.
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Affiliation(s)
- Tobias Muehlbacher
- Department of Neonatology, University Hospital Zurich, 8091 Zurich, Switzerland; (D.B.); (M.B.B.)
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25
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Zhang J, Luo C, Lei M, Shi Z, Cheng X, Wang L, Shen M, Zhang Y, Zhao M, Wang L, Zhang S, Mao F, Zhang J, Xu Q, Han S, Zhang Q. Development and Validation of a Nomogram for Predicting Bronchopulmonary Dysplasia in Very-Low-Birth-Weight Infants. Front Pediatr 2021; 9:648828. [PMID: 33816409 PMCID: PMC8017311 DOI: 10.3389/fped.2021.648828] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2021] [Accepted: 02/23/2021] [Indexed: 01/29/2023] Open
Abstract
Background: Bronchopulmonary dysplasia is a common pulmonary disease in newborns and is one of the main causes of death. The aim of this study was to build a new simple-to-use nomogram to screen high-risk populations. Methods: In this single-center retrospective study performed from January 2017 to December 2020, we reviewed data on very-low-birth-weight infants whose gestational ages were below 32 weeks. LASSO regression was used to select variables for the risk model. Then, we used multivariable logistic regression to build the prediction model incorporating these selected features. Discrimination was assessed by the C-index, and and calibration of the model was assessed by and calibration curve and the Hosmer-Lemeshow test. Results: The LASSO regression identified gestational age, duration of ventilation and serum NT-proBNP in the 1st week as significant predictors of BPD. The nomogram-illustrated model showed good discrimination and calibration. The C-index was 0.853 (95% CI: 0.851-0.854) in the training set and 0.855 (95% CI: 0.77-0.94) in the validation set. The calibration curve and Hosmer-Lemeshow test results showed good calibration between the predictions of the nomogram and the actual observations. Conclusion: We demonstrated a simple-to-use nomogram for predicting BPD in the early stage. It may help clinicians recognize high-risk populations.
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Affiliation(s)
- Jingdi Zhang
- Neonatal Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Chenghan Luo
- Orthopedics Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Mengyuan Lei
- Health Care Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zanyang Shi
- Neonatal Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xinru Cheng
- Neonatal Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Lili Wang
- Neonatal Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Min Shen
- Neonatal Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yixia Zhang
- Children Health Care Department, Children's Hospital Affiliated of Zhengzhou University, Zhengzhou, China
| | - Min Zhao
- Medical Record Management Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Li Wang
- Neonatal Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Shanshan Zhang
- Neonatal Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Fengxia Mao
- Neonatal Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ju Zhang
- Neonatal Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Qianya Xu
- Neonatal Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Suge Han
- Neonatal Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Qian Zhang
- Neonatal Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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Lei J, Sun T, Jiang Y, Wu P, Fu J, Zhang T, McGrath E. Risk Identification of Bronchopulmonary Dysplasia in Premature Infants Based on Machine Learning. Front Pediatr 2021; 9:719352. [PMID: 34485204 PMCID: PMC8415969 DOI: 10.3389/fped.2021.719352] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 07/15/2021] [Indexed: 11/13/2022] Open
Abstract
Bronchopulmonary dysplasia (BPD) is one of the most common complications in premature infants. This disease is caused by long-time use of supplemental oxygen, which seriously affects the lung function of the child and imposes a heavy burden on the family and society. This research aims to adopt the method of ensemble learning in machine learning, combining the Boruta algorithm and the random forest algorithm to determine the predictors of premature infants with BPD and establish a predictive model to help clinicians to conduct an optimal treatment plan. Data were collected from clinical records of 996 premature infants treated in the neonatology department of Liuzhou Maternal and Child Health Hospital in Western China. In this study, premature infants with congenital anomaly, premature infants who died, and premature infants with incomplete data before the diagnosis of BPD were excluded from the data set. After exclusion, we included 648 premature infants in the study. The Boruta algorithm and 10-fold cross-validation were used for feature selection in this study. Six variables were finally selected from the 26 variables, and the random forest model was established. The area under the curve (AUC) of the model was as high as 0.929 with excellent predictive performance. The use of machine learning methods can help clinicians predict the disease so as to formulate the best treatment plan.
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Affiliation(s)
- Jintao Lei
- School of Science, Guangxi University of Science and Technology, Liuzhou, China
| | - Tiankai Sun
- School of Science, Guangxi University of Science and Technology, Liuzhou, China
| | - Yongjiang Jiang
- Department of Neonatology, Liuzhou Maternity and Child Health Care Hospital, Liuzhou, China
| | - Ping Wu
- Department of Pharmacy, Chengdu First People's Hospital Chengdu Integrated TCM Western Medicine Hospital, Chengdu, China
| | - Jinjian Fu
- Department of Preventive Medicine, Liuzhou Maternity and Child Health Care Hospital, Liuzhou, China
| | - Tao Zhang
- School of Science, Guangxi University of Science and Technology, Liuzhou, China
| | - Eric McGrath
- Children's Hospital of Michigan, Wayne State University School of Medicine, Detroit, MI, United States
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