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Bethell GS, Jones IH, Battersby C, Knight M, Hall NJ. Methods of identifying surgical Necrotizing Enterocolitis-a systematic review and meta-analysis. Pediatr Res 2025; 97:45-55. [PMID: 38849483 PMCID: PMC11798840 DOI: 10.1038/s41390-024-03292-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 04/02/2024] [Accepted: 05/15/2024] [Indexed: 06/09/2024]
Abstract
BACKGROUND Current data suggests potential benefit of earlier surgery for necrotizing enterocolitis (NEC) however this requires accurate prognostication early in the disease course. This study aims to identify and determine the effectiveness of previously reported methods or tests for the identification of surgical NEC. METHODS Systematic review and meta-analysis with registration on PROSPERO including articles describing a method of identifying surgical NEC. Outcomes of interest were effectiveness and repeatability of index test. RESULTS Of the 190 full-text articles screened, 90 studies were included which contained 114 methods of identifying surgical NEC in 9546 infants. Of these methods, 44 were a scoring system, 37 a single biomarker, 24 an imaging method, and 9 an invasive method. Sensitivity and specificity ranged from 12.8-100% to 13-100%, respectively. Some methods (9.6%) provided insufficient methods for repeatability within clinical practice or research. Meta-analyses were possible for only 2 methods, the metabolic derangement 7 score and abdominal ultrasound. CONCLUSIONS A range of methods for identifying surgical NEC have been identified with varying overall performance and uncertainties about reproducibility and superiority of any method. External validation in large multicentre datasets should allow direct comparison of accuracy and prospective study should evaluate impact on clinical outcomes. IMPACT Earlier identification of need for surgery in necrotizing enterocolitis (NEC) has the potential to improve the unfavourable outcomes in this condition. As such, many methods have been developed and reported to allow earlier identification of surgical NEC. This study is the first synthesis of the literature which identifies previously reported methods and the effectiveness of these. Many methods, including scoring systems and biomarkers, appear effective for prognostication in NEC and external validation is now required in multicentre datasets prior to clinical utility.
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Affiliation(s)
- George S Bethell
- University Surgical Unit, Faculty of Medicine, University of Southampton, Southampton, UK
- Department of Paediatric Surgery and Urology, Southampton Children's Hospital, Southampton, UK
| | - Ian H Jones
- Department of Paediatric Surgery and Urology, Birmingham Children's Hospital, Birmingham, UK
| | - Cheryl Battersby
- Neonatal Medicine, School of Public Health, Faculty of Medicine, Imperial College London, London, UK
| | - Marian Knight
- Nuffield Department of Population Health, National Perinatal Epidemiology Unit, University of Oxford, Oxford, UK
| | - Nigel J Hall
- University Surgical Unit, Faculty of Medicine, University of Southampton, Southampton, UK.
- Department of Paediatric Surgery and Urology, Southampton Children's Hospital, Southampton, UK.
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Scarpa EC, Lyra JC, Lourenção PLTDA, Hachem AS, Silva GHSD, Giacóia GRF, Ortolan EVP, Silva CDP, Silveira GLD, Bentlin MR. Analysis of agreement between specialists for the evaluation of radiological findings of necrotizing enterocolitis. J Pediatr (Rio J) 2025; 101:103-109. [PMID: 39178912 PMCID: PMC11763538 DOI: 10.1016/j.jped.2024.07.008] [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: 09/12/2023] [Revised: 07/29/2024] [Accepted: 07/30/2024] [Indexed: 08/26/2024] Open
Abstract
OBJECTIVE The analysis of abdominal radiography is essential for the diagnosis and management of necrotizing enterocolitis (NEC) in newborns (NB). Studies, however, show a lack of agreement among physicians in the interpretation of images. This study aims to evaluate the agreement in the radiological interpretation of the NEC between examiners from different specialties (interexaminer analysis) and between the same examiner at different times (intraexaminer analysis). METHODS Cross-sectional study for concordance analysis using plain radiographs of the abdomen of NB with suspected or confirmed NEC. The study included two neonatologists (Neo), two surgeons (SU), and two radiologists (RD). The participants filled out a form with questions about the radiographic findings; regarding the presence of intestinal loop distension, the specialists answered subjectively (yes or no) and objectively (calculation of the ratio between loop diameter and lumbar vertebrae measurements). Kappa coefficients were calculated for agreement analysis. RESULTS A total of 90 radiological images were analyzed. For the interexaminer evaluation, the agreement was low (kappa<0.4) in 30 % of the answers (Neo versus SU), 38 % (Neo versus RD), and 46 % (SU versus RD). In the intraexaminer evaluation, the neonatologist and the surgeon presented substantial or almost perfect agreement in 92 % of the answers, and the radiologist in 77 %. In the evaluation of intestinal loop distention, the greatest agreement between the specialties occurred when done objectively. CONCLUSION The results confirmed the low intra- and interexaminer agreement in the radiological analysis of the NEC, reinforcing the importance of standardizing the methods of radiological interpretation of the disease.
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Affiliation(s)
- Erica Cristina Scarpa
- Universidade Estadual Paulista (UNESP), Faculdade de Medicina de Botucatu, Departamento de Pediatria, Divisão de Neonatologia, São Paulo, SP, Brazil.
| | - João C Lyra
- Universidade Estadual Paulista (UNESP), Faculdade de Medicina de Botucatu, Departamento de Pediatria, Divisão de Neonatologia, São Paulo, SP, Brazil
| | - Pedro L T de A Lourenção
- Universidade Estadual Paulista (UNESP), Faculdade de Medicina de Botucatu, Departamento de Cirurgia e Ortopedia - Divisão de Cirurgia Pediátrica, São Paulo, SP, Brazil
| | - Andréa S Hachem
- Universidade Estadual Paulista (UNESP), Faculdade de Medicina de Botucatu, Departamento de Pediatria, Divisão de Neonatologia, São Paulo, SP, Brazil
| | - Geraldo H S da Silva
- Universidade Estadual Paulista (UNESP), Faculdade de Medicina de Botucatu, Departamento de Pediatria, Divisão de Neonatologia, São Paulo, SP, Brazil
| | - Glauce R F Giacóia
- Universidade Estadual Paulista (UNESP), Faculdade de Medicina de Botucatu, Departamento de Pediatria, Divisão de Neonatologia, São Paulo, SP, Brazil
| | - Erika V P Ortolan
- Universidade Estadual Paulista (UNESP), Faculdade de Medicina de Botucatu, Departamento de Cirurgia e Ortopedia - Divisão de Cirurgia Pediátrica, São Paulo, SP, Brazil
| | | | | | - Maria R Bentlin
- Universidade Estadual Paulista (UNESP), Faculdade de Medicina de Botucatu, Departamento de Pediatria, Divisão de Neonatologia, São Paulo, SP, Brazil
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Gu H, Seekins J, Ritter V, Halamek LP, Wall JK, Fuerch JH. Characterizing continuous positive airway pressure (CPAP) Belly Syndrome in preterm infants in the neonatal intensive care unit (NICU). J Perinatol 2024; 44:1269-1275. [PMID: 38448640 DOI: 10.1038/s41372-024-01918-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 02/13/2024] [Accepted: 02/21/2024] [Indexed: 03/08/2024]
Abstract
OBJECTIVE Reproducibly define CPAP Belly Syndrome (CBS) in preterm infants and describe associated demographics, mechanical factors, and outcomes. STUDY DESIGN A retrospective case-control study was conducted in infants <32 weeks gestation in the Stanford Children's NICU from January 1, 2020 to December 31, 2021. CBS was radiographically defined by a pediatric radiologist. Data analysis included descriptive statistics and comparator tests. RESULTS Analysis included 41 infants with CBS and 69 infants without. CBS was associated with younger gestational age (median 27.7 vs 30 weeks, p < 0.001) and lower birthweight (median 1.00 vs 1.31 kg, p < 0.001). Infants with CBS were more likely to receive bilevel respiratory support and higher positive end expiratory pressure. Infants with CBS took longer to advance enteral feeds (median 10 vs 7 days, p = 0.003) and were exposed to more abdominal radiographs. CONCLUSIONS Future CBS therapies should target small infants, prevent air entry from above, and aim to reduce time to full enteral feeds and radiographic exposure.
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Affiliation(s)
- Hannah Gu
- Division of Neonatology, Stanford University, Stanford, CA, USA.
| | - Jayne Seekins
- Department of Pediatric Radiology, Stanford University, Stanford, CA, USA
| | - Victor Ritter
- Quantitative Sciences Unit, Stanford University, Stanford, CA, USA
| | - Louis P Halamek
- Division of Neonatology, Stanford University, Stanford, CA, USA
| | - James K Wall
- Department of Pediatric General Surgery, Stanford University, Stanford, CA, USA
| | - Janene H Fuerch
- Division of Neonatology, Stanford University, Stanford, CA, USA
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Qi G, Huang S, Lai D, Li J, Zhao Y, Shen C, Huang J, Liu T, Wei K, Tou J, Shu Q, Yu G. An improved joint non-negative matrix factorization for identifying surgical treatment timing of neonatal necrotizing enterocolitis. Bosn J Basic Med Sci 2022; 22:972-981. [PMID: 35575464 PMCID: PMC9589314 DOI: 10.17305/bjbms.2022.7046] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 05/04/2022] [Indexed: 06/01/2024] Open
Abstract
Neonatal necrotizing enterocolitis is a severe neonatal intestinal disease. Timely identification of surgical indications is essential for newborns in order to seek the best time for treatment and improve prognosis. This paper attempts to establish an algorithm model based on multimodal clinical data to determine the features of surgical indications and construct an auxiliary diagnosis model. The proposed algorithm adds hypergraph constraints on the two modal data based on Joint Nonnegative Matrix Factorization (JNMF), aiming to mine the higher-order correlations of the two data features. In addition, the adjacency matrix of the two kinds of data is used as a network regularization constraint to prevent overfitting. Orthogonal and L1-norm regulations were introduced to avoid feature redundancy and perform feature selection, respectively, and confirmed 14 clinical features. Finally, we used three classifiers, random forest, support vector machine, and logistic regression, to perform binary classification of patients requiring surgery. The results show that when the features selected by the proposed algorithm model are classified by random forest, the area under the ROC curve is 0.8, which has high prediction accuracy.
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Affiliation(s)
- Guoqiang Qi
- Department of Data and Information, The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Sino-Finland Joint AI Laboratory for Child Health of Zhejiang Province, Hangzhou, China
- National Clinical Research Center for Child Health, Hangzhou, China
| | - Shoujiang Huang
- National Clinical Research Center for Child Health, Hangzhou, China
- Department of Neonatal Surgery, The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Dengming Lai
- National Clinical Research Center for Child Health, Hangzhou, China
- Department of Neonatal Surgery, The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jing Li
- Department of Data and Information, The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Sino-Finland Joint AI Laboratory for Child Health of Zhejiang Province, Hangzhou, China
- National Clinical Research Center for Child Health, Hangzhou, China
| | - Yonggen Zhao
- Department of Data and Information, The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Sino-Finland Joint AI Laboratory for Child Health of Zhejiang Province, Hangzhou, China
- National Clinical Research Center for Child Health, Hangzhou, China
| | - Chen Shen
- Department of Data and Information, The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Sino-Finland Joint AI Laboratory for Child Health of Zhejiang Province, Hangzhou, China
- National Clinical Research Center for Child Health, Hangzhou, China
| | - Jian Huang
- Department of Data and Information, The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Sino-Finland Joint AI Laboratory for Child Health of Zhejiang Province, Hangzhou, China
- National Clinical Research Center for Child Health, Hangzhou, China
| | - Tianmei Liu
- National Clinical Research Center for Child Health, Hangzhou, China
- Department of Radiology, The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Kai Wei
- Department of Electronic Engineering, College of Information Engineering, Shanghai Maritime University, Shanghai, China
| | - Jinfa Tou
- National Clinical Research Center for Child Health, Hangzhou, China
- Department of Neonatal Surgery, The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Qiang Shu
- Department of Data and Information, The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- National Clinical Research Center for Child Health, Hangzhou, China
| | - Gang Yu
- Department of Data and Information, The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Sino-Finland Joint AI Laboratory for Child Health of Zhejiang Province, Hangzhou, China
- National Clinical Research Center for Child Health, Hangzhou, China
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Gao HX, Yi B, Mao BH, Li WY, Bai X, Zhang Y, Tang JM, Liu PQ, Cheng K. Efficacy of abdominal ultrasound inspection in the diagnosis and prognosis of neonatal necrotizing enterocolitis. Clinics (Sao Paulo) 2021; 76:e1816. [PMID: 33787653 PMCID: PMC7978842 DOI: 10.6061/clinics/2021/e1816] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Accepted: 12/02/2020] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVE This study aimed to identify the most useful ultrasound (US) features associated with definite neonatal necrotizing enterocolitis (NEC) and their prognostic values, particularly the calculated markers combined with important features. METHODS A total of 213 suspected NEC cases were collected from the neonatal department of our hospital from January 2015 to August 2017. Each infant received both X-ray and US examinations. RESULTS No differences were found in sex composition and delivery modes between groups. NEC-positive neonates had poorer prognosis compared to negative ones. The NEC group showed a higher frequency of abnormal signals. US showed higher NEC-related frequencies in different parameters. A variable (named predictor in US [PUS]) with five features was constructed. For NEC diagnosis, this variable provided a much higher area under the curve Q2 (AUC) (0.965) than other parameters. In this model, PUS had a cutoff value of 0.376 with a 0.900 sensitivity and 0.922 specificity. In prognosis, the closest factors were selected to draw a receiver operating characteristic curve, as well as a novel calculated variable US prognostic (USPro) marker. USPro had a much higher AUC (0.86) than other single features and showed a cutoff value of 0.18145, with 0.75 sensitivity and 0.84 specificity. This variable had a weaker power in prognosis when compared with PUS in diagnosis. CONCLUSIONS The application of abdominal color Doppler US can provide high accuracy and sensitivity in NEC diagnosis and also contribute to its prognosis, without induction of radiation. Suspected neonates should be examined using this technique as early as possible.
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Affiliation(s)
- Hong-Xia Gao
- Department of Neonatology, Gansu Provincial Maternity and Child Care Hospital, Lanzhou, 730050, China
- *Corresponding author. E-mail:
| | - Bin Yi
- Department of Neonatology, Gansu Provincial Maternity and Child Care Hospital, Lanzhou, 730050, China
| | - Bao-Hong Mao
- Department of Clinical Medical Research Center, Gansu Provincial Maternity and Child Care Hospital, Lanzhou, 730050, China
| | - Wei-Yang Li
- Department of Neonatology, Gansu Provincial Maternity and Child Care Hospital, Lanzhou, 730050, China
| | - Xiang Bai
- Department of Neonatology, Gansu Provincial Maternity and Child Care Hospital, Lanzhou, 730050, China
| | - Yue Zhang
- Department of Neonatology, Capital Healthcare Hospital for Children and Women, Beijing, 102600, China
| | - Jian-Ming Tang
- Department of Neonatology, Gansu Provincial Maternity and Child Care Hospital, Lanzhou, 730050, China
| | - Pei-Qi Liu
- Department of Neonatology, Gansu Provincial Maternity and Child Care Hospital, Lanzhou, 730050, China
| | - Kun Cheng
- Department of Neonatology, Gansu Provincial Maternity and Child Care Hospital, Lanzhou, 730050, China
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