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Guo X, Ma D, Li R, Zhang R, Guo Y, Yu Z, Chen C. Association between viral infection and bronchopulmonary dysplasia in preterm infants: a systematic review and meta-analysis. Eur J Pediatr 2024; 183:2965-2981. [PMID: 38634889 PMCID: PMC11192663 DOI: 10.1007/s00431-024-05565-9] [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: 03/13/2024] [Revised: 04/05/2024] [Accepted: 04/09/2024] [Indexed: 04/19/2024]
Abstract
Bronchopulmonary dysplasia (BPD) is the most common serious complication of very preterm infants (VPI) or very low birth weight (VLBW) infants. Studies implicate viral infections in etiopathogenesis. The aim of this study was to summarize the relationship between viral infections and BPD through a systematic review and meta-analysis. We searched PubMed, Embase, the Web of Science Core Collection, and the Cochrane Database on December 19, 2023. We included observational studies that examined the association between viral infections and BPD in preterm infants. We extracted data on study methods, participant characteristics, exposure assessment, and outcome measures. We assessed study risk of bias using the Newcastle-Ottawa Scale (NOS). We included 17 and 15 studies in the qualitative review and meta-analysis, respectively. The meta-analysis showed a significant association between viral infection and BPD diagnosed at 36 weeks postmenstrual age (odds ratio (OR): 2.42, 95% confidence interval: 1.89-3.09, 13 studies, very low certainty of evidence). In a subgroup analysis of specific viruses, cytomegalovirus (CMV) proved to be significantly associated with BPD diagnosed at 36 weeks postmenstrual age (OR: 2.34, 95% confidence interval: 1.80-3.05, 11 studies). We did not find an association between viral infection and BPD diagnosed on the 28th day of life, probably due to the small sample size of the included prospective studies. Conclusion: Viral infections, especially CMV, are associated with an increased risk of BPD in preterm infants. Methodologically reliable prospective studies with large samples are needed to validate our conclusions, and high-quality randomized controlled studies are needed to explore the effect of prevention or treatment of viral infections on the incidence of BPD. What is Known: • Studies have attempted to identify viral infections and bronchopulmonary dysplasia in preterm infants; however, results have been inconsistent. What is New: • Systematic demonstration that viral infections, particularly cytomegalovirus, are positively associated with bronchopulmonary dysplasia diagnosed in preterm infants at the 36th week of postmenstrual age. • The importance of screening for viral infections in preterm infants, especially cytomegalovirus. More high-quality studies should be produced in the future to investigate the causal relationship between viral infections and bronchopulmonary dysplasia.
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Affiliation(s)
- Xin Guo
- Department of Neonatology, Longgang District Maternity & Child Healthcare Hospital of Shenzhen City (Longgang Maternity and Child Institute of Shantou University Medical College), Shenzhen, 518172, Guangdong, China
| | - Defei Ma
- Department of Neonatology, Longgang District Maternity & Child Healthcare Hospital of Shenzhen City (Longgang Maternity and Child Institute of Shantou University Medical College), Shenzhen, 518172, Guangdong, China
| | - Rui Li
- Department of Neonatology, Longgang District Maternity & Child Healthcare Hospital of Shenzhen City (Longgang Maternity and Child Institute of Shantou University Medical College), Shenzhen, 518172, Guangdong, China
| | - Ruolin Zhang
- Department of Neonatology, Nanshan Maternity & Child Healthcare Hospital, Shenzhen, 518067, Guangdong, China
| | - Yanping Guo
- Department of Pediatrics, Peking University Shenzhen Hospital, Shenzhen, 518036, Guangdong, China
| | - Zhangbin Yu
- Department of Neonatology, Shenzhen People's Hospital, The Second Clinical Medical College of Jinan University, First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, 518000, Guangdong, China.
| | - Cheng Chen
- Department of Neonatology, Longgang District Maternity & Child Healthcare Hospital of Shenzhen City (Longgang Maternity and Child Institute of Shantou University Medical College), Shenzhen, 518172, Guangdong, China.
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Dail RB, Everhart KC, Iskersky V, Chang W, Fisher K, Warren K, Steflik HJ, Hardin JW. Prenatal and Postnatal Disparities in Very-Preterm Infants in a Study of Infections between 2018-2023 in Southeastern US. Trop Med Infect Dis 2024; 9:70. [PMID: 38668531 PMCID: PMC11054784 DOI: 10.3390/tropicalmed9040070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 03/22/2024] [Accepted: 03/26/2024] [Indexed: 04/29/2024] Open
Abstract
BACKGROUND The birthrate of Black preterm (BPT) infants is 65% higher than White preterm (WPT) infants with a BPT mortality that is 2.3 times higher. The incidence of culture-positive late-onset sepsis is as high as 41% in very-preterm infants. The main purpose of this study was to examine thermal gradients and the heart rate in relation to the onset of infection. This report presents disparities in very-preterm infection incidence, bacteria, and mortality data amongst BPT and WPT infants. METHODS 367 preterms born at <32 weeks gestational age (GA) between 2019-2023 in five neonatal intensive care units (NICUs) were enrolled to study the onset of infections and dispositions; REDCap data were analyzed for descriptive statistics. RESULTS The 362 infants for analyses included 227 BPTs (63.7%) and 107 WPTs (29.6%), with 28 infants of other races/ethnicities (Hispanic, Asian, and other), 50.6% female, mean GA of 27.66 weeks, and 985.24 g birthweight. BPT infants averaged 968.56 g at birth (SD 257.50), and 27.68 (SD 2.07) weeks GA, compared to WPT infants with a mean birthweight of 1006.25 g (SD 257.77, p = 0.2313) and 27.67 (SD 2.00, p = 0.982) weeks GA. Of the 426 episodes of suspected infections evaluated across all the enrolled infants, the incidence of early-onset sepsis (EOS) was 1.9%, with BPT infants having 2.50 times higher odds of EOS than WPT infants (p = 0.4130, OR (odds ratio) = 2.50, p_or = 0.408). The overall incidence of late-onset sepsis (LOS) was 10.8%, with LOS in 11.9% of BPT infants versus 9.3% (p = 0.489, OR = 1.21, p_or = 0.637) of WPT infants. BPT infants made up 69.2% of the 39 infants with Gram-positive infections vs. 25.6% for WPT infants; 16 infants had Gram-negative culture-positive infections, with 81.2% being BPT infants versus 18.8% being WPT infants. Of the 27 urinary tract infections, 78% were in BPTs. The necrotizing enterocolitis incidence was 6.9%; the incidence in BPT infants was 7.5% vs. 6.5% in WPT infants. The overall mortality was 8.3%, with BPTs at 8.4% vs. WPT infants at 9.3%, (p = 0.6715). CONCLUSIONS BPTs had a higher rate of positive cultures, double the Gram-negative infections, a much higher rate of urinary tract infections, and a higher rate of mortality than their WPT counterparts. This study emphasizes the higher risk of morbidity and mortality for BPTs.
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Affiliation(s)
- Robin B. Dail
- Department of Biobehavioral Health & Nursing Science, University of South Carolina, Columbia, SC 29208, USA; (K.C.E.); (K.W.)
| | - Kayla C. Everhart
- Department of Biobehavioral Health & Nursing Science, University of South Carolina, Columbia, SC 29208, USA; (K.C.E.); (K.W.)
| | - Victor Iskersky
- Department of Neonatology, Prisma Health Midlands, Columbia, SC 29203, USA;
| | - Weili Chang
- Department of Pediatrics/Neonatology, East Carolina University, Greenville, NC 27834, USA;
| | - Kimberley Fisher
- Department of Pediatrics/Neonatology, Duke University, Durham, NC 27705, USA;
| | - Karen Warren
- Department of Biobehavioral Health & Nursing Science, University of South Carolina, Columbia, SC 29208, USA; (K.C.E.); (K.W.)
| | - Heidi J. Steflik
- Department of Pediatrics, Medical University of South Carolina, Charleston, SC 29425, USA;
| | - James W. Hardin
- Department of Epidemiology & Biostatistics, University of South Carolina, Columbia, SC 29208, USA;
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刘 选, 谷 名, 孙 萌, 江 倩. [Clinical characteristics and pathogens of infancy lower respiratory tract infections in infants with bronchopulmonary dysplasia]. ZHONGGUO DANG DAI ER KE ZA ZHI = CHINESE JOURNAL OF CONTEMPORARY PEDIATRICS 2023; 25:953-958. [PMID: 37718402 PMCID: PMC10511232 DOI: 10.7499/j.issn.1008-8830.2304076] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 07/31/2023] [Indexed: 09/19/2023]
Abstract
OBJECTIVES To study the clinical characteristics and pathogen features of infants with bronchopulmonary dysplasia (BPD) who were readmitted during infancy due to lower respiratory tract infections. METHODS A retrospective analysis was conducted on 128 preterm infants with BPD who were admitted for lower respiratory tract infections in Qingdao Women and Children's Hospital from January 2020 to December 2022. An equal number of non-BPD preterm infants admitted during the same period were selected as controls. General information, clinical characteristics, lung function parameters, and respiratory pathogen results were compared between the two groups. RESULTS Compared with the non-BPD group, the BPD group had a lower gestational age and birth weight, were more likely to experience shortness of breath, wheezing, and cyanosis, and had a longer duration of wheezing relief (P<0.05). Compared with the non-BPD group, the BPD group had lower lung function parameters, including tidal volume per kilogram of body weight, ratio of time to peak tidal expiratory flow to total expiratory time, ratio of volume at peak tidal expiratory flow to expiratory tidal volume, tidal expiratory flow at 25%, 50%, and 75% of tidal volume, and increased respiratory rate (P<0.05). The detection rates of gram-negative bacteria, such as Klebsiella pneumoniae and Acinetobacter baumannii, were higher in the BPD group than in the non-BPD group (P<0.05). CONCLUSIONS Infants with BPD who develop infancy lower respiratory tract infections require closer attention to the clinical characteristics such as shortness of breath, wheezing, and cyanosis. Lung function is characterized by obstructive changes and small airway dysfunction. Gram-negative bacteria, including Klebsiella pneumoniae and Acinetobacter baumannii, are more likely to be detected as respiratory pathogens.
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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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Gilfillan M, Bhandari V. Moving Bronchopulmonary Dysplasia Research from the Bedside to the Bench. Am J Physiol Lung Cell Mol Physiol 2022; 322:L804-L821. [PMID: 35437999 DOI: 10.1152/ajplung.00452.2021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Although advances in the respiratory management of extremely preterm infants have led to improvements in survival, this progress has not yet extended to a reduction in the incidence of bronchopulmonary dysplasia (BPD). BPD is a complex multifactorial condition that primarily occurs due to disturbances in the regulation of normal pulmonary airspace and vascular development. Preterm birth and exposure to invasive mechanical ventilation also compromises large airway development, leading to significant morbidity and mortality. Although both predisposing and protective genetic and environmental factors have been frequently described in the clinical literature, these findings have had limited impact on the development of effective therapeutic strategies. This gap is likely because the molecular pathways that underlie these observations are yet not fully understood, limiting the ability of researchers to identify novel treatments that can preserve normal lung development and/or enhance cellular repair mechanisms. In this review article, we will outline various well-established clinical observations whilst identifying key knowledge gaps that need to be filled with carefully designed pre-clinical experiments. We will address these issues by discussing controversial topics in the pathophysiology, the pathology and the treatment of BPD, including an evaluation of existing animal models that have been used to answer important questions.
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Affiliation(s)
- Margaret Gilfillan
- Division of Neonatology, St. Christopher's Hospital for Children/Drexel University College of Medicine, Philadelphia, PA
| | - Vineet Bhandari
- Division of Neonatology, The Children's Regional Hospital at Cooper/Cooper Medical School of Rowan University, Camden, NJ
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