1
|
Wen S, Xu M, Jin W, Zeng L, Lin Z, Yu G, Lv F, Zhu L, Xu C, Zheng Y, Dong L, Lin L, Zhang H. Risk factors and prediction models for bronchiolitis obliterans after severe adenoviral pneumonia. Eur J Pediatr 2024; 183:1315-1323. [PMID: 38117354 DOI: 10.1007/s00431-023-05379-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 12/07/2023] [Accepted: 12/09/2023] [Indexed: 12/21/2023]
Abstract
Severe adenoviral pneumonia (SAP) can cause post-infectious bronchiolitis obliterans (PIBO) in children. We aimed to investigate the relevant risk factors for PIBO and develop a predictive nomogram for PIBO in children with SAP. This prospective study analysed the clinical data of hospitalised children with SAP and categorised them into the PIBO and non-PIBO groups. Least absolute shrinkage and selection operator (LASSO) regressions were applied to variables that exhibited significant intergroup differences. Logistic regression was adopted to analyse the risk factors for PIBO. Additionally, a nomogram was constructed, and its effectiveness was assessed using calibration curves, C-index, and decision curve analysis. A total of 148 hospitalised children with SAP were collected in this study. Among them, 112 achieved favourable recovery, whereas 36 developed PIBO. Multivariable regression after variable selection via LASSO revealed that aged < 1 year (OR, 2.38, 95% CI, 0.82-6.77), admission to PICU (OR, 24.40, 95% CI, 7.16-105.00), long duration of fever (OR, 1.16, 95% CI, 1.04-1.31), and bilateral lung infection (OR, 8.78, 95% CI, 1.32-195.00) were major risk factors for PIBO. The nomogram model included the four risk factors: The C-index of the model was 0.85 (95% CI, 0.71-0.99), and the area under the curve was 0.85 (95% CI, 0.78-0.92). The model showed good calibration with the Hosmer-Lemeshow test (χ2 = 8.52, P = 0.38) and was useful in clinical settings with decision curve analysis. CONCLUSION Age < 1 year, PICU admission, long fever duration, and bilateral lung infection are independent risk factors for PIBO in children with SAP. The nomogram model may aid clinicians in the early diagnosis and intervention of PIBO. WHAT IS KNOWN • Adenoviruses are the most common pathogens associated with PIBO. • Wheezing, tachypnoea, hypoxemia, and mechanical ventilation are the risk factors for PIBO. WHAT IS NEW • Age < 1 year, admission to PICU, long duration of fever days, and bilateral lung infection are independent risk factors for PIBO in children with SAP. • A prediction model presented as a nomogram may help clinicians in the early diagnosis and intervention of PIBO.
Collapse
Affiliation(s)
- Shunhang Wen
- Department of Children's Respiration Disease, the Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, 109 West Xueyuan Road, Lucheng District, Wenzhou, 325000, Zhejiang, People's Republic of China
| | - Ming Xu
- Department of Children's Respiration Disease, the Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, 109 West Xueyuan Road, Lucheng District, Wenzhou, 325000, Zhejiang, People's Republic of China
| | - Weigang Jin
- Department of Children's Respiration Disease, the Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, 109 West Xueyuan Road, Lucheng District, Wenzhou, 325000, Zhejiang, People's Republic of China
| | - Luyao Zeng
- Department of Children's Respiration Disease, the Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, 109 West Xueyuan Road, Lucheng District, Wenzhou, 325000, Zhejiang, People's Republic of China
| | - Zupan Lin
- Department of Pediatrics, Jinhua Maternal and Child Health Care Hospital, Jinhua, 321000, Zhejiang, People's Republic of China
| | - Gang Yu
- Department of Children's Respiration Disease, the Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, 109 West Xueyuan Road, Lucheng District, Wenzhou, 325000, Zhejiang, People's Republic of China
| | - Fangfang Lv
- Department of Children's Respiration Disease, the Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, 109 West Xueyuan Road, Lucheng District, Wenzhou, 325000, Zhejiang, People's Republic of China
| | - Lili Zhu
- Department of Children's Respiration Disease, the Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, 109 West Xueyuan Road, Lucheng District, Wenzhou, 325000, Zhejiang, People's Republic of China
| | - Changfu Xu
- Department of Children's Respiration Disease, the Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, 109 West Xueyuan Road, Lucheng District, Wenzhou, 325000, Zhejiang, People's Republic of China
| | - Yangming Zheng
- Department of Children's Respiration Disease, the Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, 109 West Xueyuan Road, Lucheng District, Wenzhou, 325000, Zhejiang, People's Republic of China
| | - Lin Dong
- Department of Children's Respiration Disease, the Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, 109 West Xueyuan Road, Lucheng District, Wenzhou, 325000, Zhejiang, People's Republic of China
| | - Li Lin
- Department of Children's Respiration Disease, the Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, 109 West Xueyuan Road, Lucheng District, Wenzhou, 325000, Zhejiang, People's Republic of China
| | - Hailin Zhang
- Department of Children's Respiration Disease, the Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, 109 West Xueyuan Road, Lucheng District, Wenzhou, 325000, Zhejiang, People's Republic of China.
| |
Collapse
|
2
|
Cui Z, Zhou X, Luo F, Wang J, Diao J, Pan Y. Worldwide Bronchiolitis obliterans research: A bibliometric analysis of the published literature between 2002 and 2022. Medicine (Baltimore) 2023; 102:e34263. [PMID: 37443465 PMCID: PMC10344578 DOI: 10.1097/md.0000000000034263] [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: 04/12/2023] [Accepted: 06/19/2023] [Indexed: 07/15/2023] Open
Abstract
Bronchiolitis obliterans (BO) is a rare and irreversible chronic respiratory disease. The diagnosis of BO is challenging, and there still needs to be specific therapies and uniform treatment guidelines available. Research on BO has grown steadily over the past 20 years, and with the continued interest of researchers in this area, a bibliometric study of BO becomes necessary. This topic aims to assess the current state of research in BO over the last 2 decades and to identify research hotspots and emerging directions. Information on BO-related articles were obtained from the Science Citation Index Expand of the Web of Science Core Collection (WOSCC [SCI-E]) database. Citespace (6.1.R6), VOSviewer (1.6.18), and the online bibliometrics website (https://bibliometric.com/) were used for bibliometric analysis mainly to include country/region, institution, author, journal, keywords, and references and to construct visual knowledge network diagrams. A total of 4153 publications from the WOSCC [SCI-E] database were included in this study. Most publications come from the United States, Japan, and Germany, which collaborate relatively more frequently. Research institutions in the United States, especially the University of Washington, published the largest number of BO-related articles. Regarding authors, Vos, R is the most productive author, while Verleden, GM is the most influential in BO. In addition, JOURNAL OF HEART AND LUNG TRANSPLANTATION is the journal with the most published articles. The most cited article is Estenne M, 2002. Based on the clustering analysis of keywords and references, the diagnosis of bronchiolitis obliterans syndrome (BOS), treatment of BOS, and risk factors of BO are the current research hotspots and future research trends. We analyzed the publication trends in BO by bibliometrics and mapped the knowledge network of major contributing countries/regions, institutions, authors, and journals. Current research hotspots were found based on the main keywords and references. The outcome may help researchers identify potential collaborators, collaborating institutions, and hot fronts in BO to enhance collaboration on critical issues and improve the diagnosis and treatment of BO.
Collapse
Affiliation(s)
- Zhengjiu Cui
- First College of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
- Department of Pediatrics, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Xu Zhou
- Department of Pediatrics, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Fei Luo
- First College of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
- Department of Pediatrics, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Jinjuan Wang
- Department of Pediatrics, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Juanjuan Diao
- Department of Pediatrics, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Yueli Pan
- Department of Pediatrics, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
| |
Collapse
|
3
|
Yan S, Sun C, Jiang K. A Diagnostic Nomogram for Early Prediction of Post-Infectious Bronchiolitis Obliterans in Severe Pneumonia. J Inflamm Res 2023; 16:2041-2050. [PMID: 37215378 PMCID: PMC10198271 DOI: 10.2147/jir.s406375] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 05/05/2023] [Indexed: 05/24/2023] Open
Abstract
Objective The study aimed to set up and validate a predictive nomogram for post-infectious bronchiolitis obliterans in severe pneumonia. Methods We retrospectively analyzed data of 228 patients diagnosed with severe pneumonia and constructed a prediction nomogram. The least absolute shrinkage and selection operator (LASSO) regression model was utilized to optimize the selection of features for the clinical characteristics of post-infectious bronchiolitis obliterans. Individual nomograms of bronchiolitis obliterans incorporating clinical factors were developed using the multivariate logistic model. The C-index, calibration plot, and decision curve analysis were used to verify the calibration, discrimination, and clinical utility. The bootstrapping method was used for the internal validation of the model. Results Predictors in the individualized predictive nomogram included age of patients (odds ratio [OR], 0.994; 95% confidence interval; [CI], 0.990-0.998), length of stay (OR, 1.043; 95% CI: 1.015-1.073), mechanical ventilation (OR, 1.865; 95% CI: 1.236-2.817), human adenoviral infection (OR, 1.671; 95%, CI: 1.201-2.326), and the level of interleukin (IL)-2 (OR, 0.947; 95% CI: 0.901-0.955). The model discriminated reasonably well, with a C-index of 0.907 (C-index, 0.888 and 0.926) with good calibration and internal validation, which was not statistically significant by the Hosmer-Lemeshow test (P = 0.5443). Decision curve analysis showed that nomograms were useful in clinical settings. Conclusion In this study, a model was developed and presented as a nomogram with relatively good accuracy to help clinicians accurately and early diagnose post-infectious bronchiolitis obliterans in children with severe pneumonia.
Collapse
Affiliation(s)
- Silei Yan
- Department of Respiratory Medicine, Shanghai Children’s Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People’s Republic of China
| | - Chao Sun
- Department of Respiratory Medicine, Shanghai Children’s Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People’s Republic of China
| | - Kun Jiang
- Department of Respiratory Medicine, Shanghai Children’s Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People’s Republic of China
| |
Collapse
|
4
|
Risk Factors for the Development of Post-Infectious Bronchiolitis Obliterans in Children: A Systematic Review and Meta-Analysis. Pathogens 2022; 11:pathogens11111268. [PMID: 36365019 PMCID: PMC9696236 DOI: 10.3390/pathogens11111268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 10/22/2022] [Accepted: 10/28/2022] [Indexed: 11/06/2022] Open
Abstract
Post-infectious bronchiolitis obliterans (PIBO), one of the major complications of respiratory tract infection, is commonly underdiagnosed. To identify the risk groups that may develop PIBO and avoid misdiagnoses, we investigated the risk factors associated with the development of PIBO. We searched PubMed, Embase, and MEDLINE databases for studies that included risk factors for the development of PIBO published from inception to 13 June 2022. We limited our search to studies that reported the estimates of odds ratio (OR), hazard ratio (HR), or relative risks for developing PIBO. A fixed-effect and a random-effect model were used. We included seven studies reporting data on the risk factors for PIBO in 344 children with PIBO and 1310 control children. Twenty-two variables, including sex, age, respiratory pathogens, symptoms, laboratory and radiologic findings, and mechanical ventilation, were mentioned in at least one study. The significant risk factors mentioned in two or more studies included elevated lactate dehydrogenase levels, pleural effusion, hypoxemia, sex, and mechanical ventilation. The significance of the duration of hospitalization and fever as risk factors for PIBO differed when the studies were classified according to the statistical method. In addition, the risk factors differed according to respiratory infection pathogens. This meta-analysis identified potential risk factors associated with the development of PIBO. The results of this study highlight the importance of avoiding misdiagnosis and help establish management strategies for patients at a high risk of developing PIBO.
Collapse
|