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Schnabel-Besson E, Mütze U, Dikow N, Hörster F, Morath MA, Alex K, Brennenstuhl H, Settegast S, Okun JG, Schaaf CP, Winkler EC, Kölker S. Wilson and Jungner Revisited: Are Screening Criteria Fit for the 21st Century? Int J Neonatal Screen 2024; 10:62. [PMID: 39311364 PMCID: PMC11417796 DOI: 10.3390/ijns10030062] [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: 07/31/2024] [Revised: 08/29/2024] [Accepted: 09/10/2024] [Indexed: 09/26/2024] Open
Abstract
Driven by technological innovations, newborn screening (NBS) panels have been expanded and the development of genomic NBS pilot programs is rapidly progressing. Decisions on disease selection for NBS are still based on the Wilson and Jungner (WJ) criteria published in 1968. Despite this uniform reference, interpretation of the WJ criteria and actual disease selection for NBS programs are highly variable. A systematic literature search [PubMED search "Wilson" AND "Jungner"; last search 16.07.22] was performed to evaluate the applicability of the WJ criteria for current and future NBS programs and the need for adaptation. By at least two reviewers, 105 publications (systematic literature search, N = 77; manual search, N = 28) were screened for relevant content and, finally, 38 publications were evaluated. Limited by the study design of qualitative text analysis, no statistical evaluation was performed, but a structured collection of reported aspects of criticism and proposed improvements was instead collated. This revealed a set of general limitations of the WJ criteria, such as imprecise terminology, lack of measurability and objectivity, missing pediatric focus, and absent guidance on program management. Furthermore, it unraveled specific aspects of criticism on clinical, diagnostic, therapeutic, and economical aspects. A major obstacle was found to be the incompletely understood natural history and phenotypic diversity of rare diseases prior to NBS implementation, resulting in uncertainty about case definition, risk stratification, and indications for treatment. This gap could be closed through the systematic collection and evaluation of real-world evidence on the quality, safety, and (cost-)effectiveness of NBS, as well as the long-term benefits experienced by screened individuals. An integrated NBS public health program that is designed to continuously learn would fulfil these requirements, and a multi-dimensional framework for future NBS programs integrating medical, ethical, legal, and societal perspectives is overdue.
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Affiliation(s)
- Elena Schnabel-Besson
- Division of Pediatric Neurology and Metabolic Medicine, Department of Pediatrics I, Medical Faculty of Heidelberg, Heidelberg University, 69120 Heidelberg, Germany
| | - Ulrike Mütze
- Division of Pediatric Neurology and Metabolic Medicine, Department of Pediatrics I, Medical Faculty of Heidelberg, Heidelberg University, 69120 Heidelberg, Germany
| | - Nicola Dikow
- Institute of Human Genetics, University Hospital Heidelberg, Heidelberg University, 69120 Heidelberg, Germany
| | - Friederike Hörster
- Division of Pediatric Neurology and Metabolic Medicine, Department of Pediatrics I, Medical Faculty of Heidelberg, Heidelberg University, 69120 Heidelberg, Germany
| | - Marina A. Morath
- Division of Pediatric Neurology and Metabolic Medicine, Department of Pediatrics I, Medical Faculty of Heidelberg, Heidelberg University, 69120 Heidelberg, Germany
| | - Karla Alex
- Section Translational Medical Ethics, Department of Medical Oncology, National Center for Tumor Diseases (NCT), Medical Faculty of Heidelberg, Heidelberg University, 69120 Heidelberg, Germany
| | - Heiko Brennenstuhl
- Institute of Human Genetics, University Hospital Heidelberg, Heidelberg University, 69120 Heidelberg, Germany
| | - Sascha Settegast
- Section Translational Medical Ethics, Department of Medical Oncology, National Center for Tumor Diseases (NCT), Medical Faculty of Heidelberg, Heidelberg University, 69120 Heidelberg, Germany
| | - Jürgen G. Okun
- Division of Pediatric Neurology and Metabolic Medicine, Department of Pediatrics I, Medical Faculty of Heidelberg, Heidelberg University, 69120 Heidelberg, Germany
| | - Christian P. Schaaf
- Institute of Human Genetics, University Hospital Heidelberg, Heidelberg University, 69120 Heidelberg, Germany
| | - Eva C. Winkler
- Section Translational Medical Ethics, Department of Medical Oncology, National Center for Tumor Diseases (NCT), Medical Faculty of Heidelberg, Heidelberg University, 69120 Heidelberg, Germany
| | - Stefan Kölker
- Division of Pediatric Neurology and Metabolic Medicine, Department of Pediatrics I, Medical Faculty of Heidelberg, Heidelberg University, 69120 Heidelberg, Germany
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Wang D, Zhang J, Yang R, Zhang D, Wang M, Yu C, Yang J, Huang W, Liu S, Tang S, He X. Disease spectrum, prevalence, genetic characteristics of inborn errors of metabolism in 21,840 hospitalized infants in Chongqing, China, 2017-2022. Front Genet 2024; 15:1395988. [PMID: 38863445 PMCID: PMC11165094 DOI: 10.3389/fgene.2024.1395988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Accepted: 05/08/2024] [Indexed: 06/13/2024] Open
Abstract
Inborn errors of metabolism (IEMs) are uncommon. Although some studies have explored the distribution and characteristics of IEMs in newborns, the impact of these disorders on hospitalized newborns remains unclear. In this study, we gathered data from 21,840 newborn patients admitted for various medical conditions at the Children's Hospital of Chongqing Medical University from January 2017 and December 2022. Liquid chromatography-tandem mass spectrometry (LC-MS/MS), gas chromatography-mass spectrometry (GC-MS/MS), and genetic analysis were used to elucidate the disease spectrum, incidence rate, and genetic characteristics of IEMs in hospitalized newborns. The results revealed that the incidence of IEMs in hospitalized newborns was 1/377 (58/21,840), with a higher incidence in full-term infants (1/428) than in premature infants (1/3,120). Among the diagnosed genetic metabolic diseases, organic acid metabolism disorders (1/662), amino acid metabolism disorders (1/950), and fatty acid oxidation disorders (1/10,920) were the most prevalent. Methylmalonic acidemia (MMA), especially the isolated form, emerged as the most common IEM, while neonatal intrahepatic cholestasis caused by citrin deficiency (NICCD) and ornithine transcarbamylase deficiency (OTCD) were prevalent in premature infants. Of the 58 confirmed cases of IEMs, 72 variants were identified, of which 31.94% (23/72) had not been reported previously. This study contributes to understanding the incidence and clinical features of IEMs in hospitalized newborns, offering more efficient strategies for screening and diagnosing these disorders.
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Affiliation(s)
- Dongjuan Wang
- Center for Clinical Molecular Medicine, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - Juan Zhang
- Center for Clinical Molecular Medicine, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - Rui Yang
- Center for Clinical Molecular Medicine, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - Dayong Zhang
- Center for Clinical Molecular Medicine, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - Ming Wang
- Center for Clinical Molecular Medicine, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - Chaowen Yu
- Center for Clinical Molecular Medicine, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - Jingli Yang
- Department of Neonatology, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - Wenxia Huang
- Center for Clinical Molecular Medicine, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - Shan Liu
- Center for Clinical Molecular Medicine, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - Shi Tang
- Center for Clinical Molecular Medicine, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - Xiaoyan He
- Center for Clinical Molecular Medicine, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Chongqing Key Laboratory of Pediatrics, Children’s Hospital of Chongqing Medical University, Chongqing, China
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Koç Yekedüz M, Köse E, Eminoğlu FT. IGAm: A novel index predicting long-term survival in patients with early-diagnosed inherited metabolic disorders. J Pediatr Endocrinol Metab 2023; 36:1100-1108. [PMID: 37788389 DOI: 10.1515/jpem-2023-0272] [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: 06/07/2023] [Accepted: 09/18/2023] [Indexed: 10/05/2023]
Abstract
OBJECTIVES The childhood mortality rate for IMDs is approximately 25 % in populations with no expanded newborn screening program. Although the factors that increase mortality risk are known, an index predicting long-term survival has yet to be established. METHODS Two hundred sixty patients who were hospitalized during the first month of their life were screened, and 94 patients diagnosed with IMDs were included in the study. Clinical and laboratory data were assessed to identify any independent prognostic factors for overall survival. RESULTS Among the 38 patients with IMDs in the exitus group, the presence of dysmorphism, extremity abnormalities, respiratory distress, cyanosis, elevated transaminases, elevated INR, hypoglycemia, hypoalbuminemia, metabolic acidosis, electrolyte imbalance and anemia were associated with poorer survival. Elevated INR (Hazard Ratio [HR]: 0.17, 95 % CI: 0.03-0.87, p=0.034), hypoglycemia (HR: 0.48, 95 % CI: 0.25-0.91, p=0.026) and hypoalbuminemia (HR: 0.09, 95 % CI: 0.03-0.26, p<0.001) were the independent prognostic factors for survival after adjusting for confounding factors. For the prediction of survival, INR, glucose, and albumin were used to structure a novel index (IGAm = INR-Glucose-Albumin metabolic index). The median survival was shorter in the IGAm-high group (2 or 3 points) than in the IGAm-low group (p<0.001). Harrell's c-index was 0.73 for the IGAm index. CONCLUSIONS The devised novel IGAm index can predict long-term survival in patients with IMDs, with a high IGAm index being associated with higher mortality in patients with IMDs.
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Affiliation(s)
- Merve Koç Yekedüz
- Faculty of Medicine, Department of Pediatric Metabolism, Ankara University, Ankara, Türkiye
| | - Engin Köse
- Faculty of Medicine, Department of Pediatric Metabolism, Ankara University, Ankara, Türkiye
- Rare Diseases Application and Research Center, Ankara University, Ankara, Türkiye
| | - Fatma Tuba Eminoğlu
- Faculty of Medicine, Department of Pediatric Metabolism, Ankara University, Ankara, Türkiye
- Rare Diseases Application and Research Center, Ankara University, Ankara, Türkiye
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Lastrucci E, Daniotti M, Procopio E, Scaturro G, Tubili F, Martin R, la Marca G. Communicating a Positive Result at Newborn Screening and Parental Distress. Int J Neonatal Screen 2023; 9:38. [PMID: 37489491 PMCID: PMC10366888 DOI: 10.3390/ijns9030038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 07/07/2023] [Accepted: 07/10/2023] [Indexed: 07/26/2023] Open
Abstract
The assumption of this study is strictly connected to the need to focus and to know more about the impact on the psychological state of the parents whose newborn babies get a positive result at Expanded Newborn Screening (ENS). As clinical experience shows us, this aspect seems to have a potentially lasting resonance on the way the disease will be managed and handled in the family, leading to potential negative effects and repercussions on the child's wellbeing and on the quality of life within the family. On the basis of this and on the evidence emerging from a review of the literature, this study aims to investigate and objectify possible distress indicators elicited at the moment of the communication of a positive result at ENS. Questionnaires containing the Beck Depression Inventory-II, the State-Trait Anxiety Inventory-Y, and the Short Form 36 Health Survey tests were administered to the parents of 87 newborns who received positive results at ENS. The parents of 32 babies expressed the presence of discomfort potentially related to the communication of a positive result at ENS.
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Affiliation(s)
- Elisa Lastrucci
- Department of Experimental and Clinical Biomedical Sciences, University of Florence, 50019 Florence, Italy;
| | - Marta Daniotti
- Metabolic Diseases Unit, Neuroscience Department, Meyer Children’s Hospital IRCCS, 50139 Florence, Italy; (M.D.); (E.P.); (G.S.); (F.T.)
| | - Elena Procopio
- Metabolic Diseases Unit, Neuroscience Department, Meyer Children’s Hospital IRCCS, 50139 Florence, Italy; (M.D.); (E.P.); (G.S.); (F.T.)
| | - Giusi Scaturro
- Metabolic Diseases Unit, Neuroscience Department, Meyer Children’s Hospital IRCCS, 50139 Florence, Italy; (M.D.); (E.P.); (G.S.); (F.T.)
| | - Flavia Tubili
- Metabolic Diseases Unit, Neuroscience Department, Meyer Children’s Hospital IRCCS, 50139 Florence, Italy; (M.D.); (E.P.); (G.S.); (F.T.)
| | - Rosanna Martin
- Psychology Unit, Meyer Children’s Hospital IRCCS, 50139 Florence, Italy;
| | - Giancarlo la Marca
- Department of Experimental and Clinical Biomedical Sciences, University of Florence, 50019 Florence, Italy;
- Newborn Screening, Biochemistry and Pharmacology Laboratory, Meyer Children’s Hospital IRCCS, 50139 Florence, Italy
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Teixeira C, Cordeiro C, Pinto C, Diogo L. Clinical Presentation of Inherited Metabolic Diseases in Newborns Hospitalised in an Intensive Care Unit. JOURNAL OF MOTHER AND CHILD 2023; 27:55-63. [PMID: 37843971 PMCID: PMC10578465 DOI: 10.34763/jmotherandchild.20232701.d-23-00021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Accepted: 06/11/2023] [Indexed: 10/18/2023]
Abstract
BACKGROUND The first clinical manifestations of inherited metabolic diseases occur in the neonatal period in up to half of cases, often with nonspecific symptoms, making their recognition challenging. This study aimed to characterise inherited metabolic disease cases with neonatal presentation requiring admission to the paediatric intensive care unit in a Portuguese reference centre for inherited metabolic diseases. MATERIAL AND METHODS An observational study with retrospective data collection was performed, including all newborns with an inherited metabolic disease admitted to the pediatric intensive care unit between June 2011 and June 2022. Three 'pathophysiological' groups were defined: cases due to small molecules, energy deficiency and complex molecules. RESULTS Twenty newborns, with a median age at admission of 7.5 days, were included. Thirteen (65%) were female, sixteen (80%) had a small molecule disorder, and four (20%) had diseases of energy defects. Neurological manifestations were the most common, with most newborns presenting symptomatically in the first week of life. There was no difference between the groups in neurological, cardiac, and hepatic involvement and shock at presentation. A symptom-free interval was more frequent in patients with small molecule disorders than the others (p=0.01). The main metabolic changes found were altered plasma amino acids (n=13) and organic aciduria (n=10), creatine kinase elevation (n=13), hyperlactatemia (n=12), metabolic acidosis with increased anion gap (n=8) and hyperammonaemia (n=7). Newborn screening of metabolites helped make a diagnosis in 60% of cases. Five newborns died due to multiorgan failure (n=3) or refractory cardiogenic shock (n=1), and in one, therapeutic efforts were limited due to an adverse neurological prognosis. CONCLUSION Although the symptoms and signs are often nonspecific, we should suspect inherited metabolic disease when a newborn presents with neurological symptoms after a symptom-free period, however short it might be. Newborns with suspected inherited metabolic disease should be evaluated with simple biochemical tests, and newborn screening should be urgently expanded to start specific treatment earlier, reducing mortality and morbidity.
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Affiliation(s)
- Catarina Teixeira
- Pediatric Intensive Care Unit, Pediatric Hospital, Coimbra Hospital and University Center, Coimbra, Portugal
| | - Catarina Cordeiro
- Pediatric Intensive Care Unit, Pediatric Hospital, Coimbra Hospital and University Center, Coimbra, Portugal
| | - Carla Pinto
- Pediatric Intensive Care Unit, Pediatric Hospital, Coimbra Hospital and University Center, Coimbra, Portugal
| | - Luísa Diogo
- Metabolic Unit, Pediatric Hospital, Coimbra Hospital and University Center, Coimbra, Portugal
- European Reference Network for Hereditary Metabolic Disorders
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Observational study of birth outcomes in children with inborn errors of metabolism. Pediatr Res 2022; 92:1181-1187. [PMID: 35058604 DOI: 10.1038/s41390-022-01946-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 12/17/2021] [Accepted: 12/21/2021] [Indexed: 12/19/2022]
Abstract
BACKGROUND We examined the birth outcomes of children with inborn errors of metabolism detected at birth or later in life. METHODS We carried out a retrospective cohort study of 1733 children with inborn errors of metabolism and 1,033,693 unaffected children born in Canada between 2006 and 2019. Primary outcomes included preterm birth, low birth weight, congenital anomalies, and other neonatal complications. We estimated adjusted risk ratios (RR) and 95% confidence intervals (CI) for the association of inborn errors of metabolism with each outcome. RESULTS Children with inborn errors of metabolism had 2.51 times the risk of preterm birth (95% CI 2.27-2.77) and 3.08 times the risk of low birth weight (95% CI 2.77-3.42) compared with unaffected children. Disorders of mineral and lipoprotein metabolism were more strongly associated with adverse birth outcomes. Inborn errors of metabolism were associated with congenital anomalies (RR 2.62; 95% CI 2.36-2.90), particularly abdominal wall defects (RR 8.35; 95% CI 5.18-13.44). Associations were present for errors of metabolism diagnosed both at birth and later in life. CONCLUSIONS Children with inborn errors of metabolism, whether detected at birth or later, are at high risk of adverse birth outcomes and congenital anomalies. IMPACT Inborn errors of metabolism may affect fetal development, but the association with adverse birth outcomes is not well characterized. This study indicates that children with inborn errors of metabolism are at risk of preterm birth, neonatal jaundice, congenital anomalies, and a range of other adverse birth outcomes. Mothers of children with inborn errors of metabolism are at risk of preeclampsia and cesarean delivery. Adverse birth outcomes may be a first sign of inborn errors of metabolism that merit increased screening.
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Eminoğlu FT, Koç Yekedüz M, Doğulu N, Öncül Ü, Köse E, Okulu E, Erdeve Ö, Atasay B, Arsan S. Inherited metabolic disorders in the neonatal intensive care unit: Red flags to look out for. Pediatr Int 2022; 64:e14953. [PMID: 34390086 DOI: 10.1111/ped.14953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Revised: 07/17/2021] [Accepted: 08/11/2021] [Indexed: 12/01/2022]
Abstract
BACKGROUND We aimed to assess symptoms, laboratory findings, and radiological abnormalities in patients diagnosed with inherited metabolic disorders (IMDs) in the neonatal intensive care unit. METHODS A total of 6,150 newborns treated in a third-level neonatal intensive care unit between 2012 and 2020 in Turkey were screened, of which 195 consulted with a suspicion of metabolic disease based on their clinical, laboratory, or radiological findings were included in the present study. RESULTS The prevalence of IMDs in the patients was 1:94.6. Those consulted in the department of pediatric metabolism were divided into two groups, with the 65 diagnosed with IMDs assigned as Group I, and the 130 patients who were not diagnosed with IMDs as Group II. The most common IMDs were organic acidemias (29.23%) and urea cycle disorders (UCDs) (26.15%). The rates of consanguinity marriage (75.3% vs 37.6%, P < 0.001), siblings diagnosed with an IMD (27.6% vs 3.8%, P < 0.001), and sibling death (56.9% vs 14.6%, P < 0.001) were higher in Group I than in Group II. Hyperammonemia (61.5% vs 18.4%, P < 0.001) was the most common laboratory finding in Group I, and anemia (Group I 60.0% vs 43.0% P = 0.033), metabolic acidosis (53.8% vs 36.9%, P = 0.028) and respiratory alkalosis (16.9% vs 1.5%, P < 0.001) were all higher in Group I. CONCLUSIONS This retrospective study found that the results of clinical findings and basic laboratory tests could be strong indicators of IMDs, although extensive newborn screening tests and advanced biochemical and genetic tests should be carried out for the diagnosis of IMDs in newborns.
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Affiliation(s)
- Fatma Tuba Eminoğlu
- Department of Pediatric Metabolism, Faculty of Medicine, Ankara University, Ankara, Turkey
| | - Merve Koç Yekedüz
- Department of Pediatric Metabolism, Faculty of Medicine, Ankara University, Ankara, Turkey
| | - Neslihan Doğulu
- Department of Pediatric Metabolism, Faculty of Medicine, Ankara University, Ankara, Turkey
| | - Ümmühan Öncül
- Department of Pediatric Metabolism, Faculty of Medicine, Ankara University, Ankara, Turkey
| | - Engin Köse
- Department of Pediatric Metabolism, Faculty of Medicine, Ankara University, Ankara, Turkey
| | - Emel Okulu
- Department of Neonatology, Faculty of Medicine, Ankara University, Ankara, Turkey
| | - Ömer Erdeve
- Department of Neonatology, Faculty of Medicine, Ankara University, Ankara, Turkey
| | - Begüm Atasay
- Department of Neonatology, Faculty of Medicine, Ankara University, Ankara, Turkey
| | - Saadet Arsan
- Department of Neonatology, Faculty of Medicine, Ankara University, Ankara, Turkey
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Balakrishnan U, Chandrasekaran A, Amboiram P, Ninan B, Ignatious S. Outcome of Inherited Metabolic Disorders Presenting in the Neonatal Period. Indian J Pediatr 2021; 88:455-462. [PMID: 33051787 DOI: 10.1007/s12098-020-03522-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Accepted: 09/28/2020] [Indexed: 10/23/2022]
Abstract
OBJECTIVE To assess the outcome of infants who were diagnosed to have Inborn errors of metabolism (IEM) during neonatal period from a single center in South India. METHODS This retrospective cohort study included consecutive neonates diagnosed to have IEM by biochemical testing or those detected using newborn screening (NBS) between November 2014 and July 2018. Disorders were categorized into intoxication and non-intoxication groups. Their presentation and outcome were described. Development at 12 mo was assessed objectively using DASII (Developmental assessment scale for Indian infants). Developmental quotient <70 was considered as delay. Mortality was analyzed using Kaplan Meier survival analysis. RESULTS Among the total of 33 (14 intoxication and 19 non-intoxication groups), 7 died in neonatal period, 3 were lost to follow-up, 9 expired during varying period leaving 14 under regular follow-up. NBS detected 3 of them, others presented symptomatically unwell during neonatal period. Median survival was 18 mo (95% CI 3.7 to 32.2). Kaplan Meier survival analysis revealed a significant difference in mortality in intoxication compared to non-intoxication group. Among 14 survivors, 7 (50%) had developmental delay; 5 (35%) had seizures; 6 (43%) had growth failure. Infants with encephalopathy as initial presentation had poorer prognosis. NBS detection rate was 1 in 1060 live births (3 positives out of 3180 NBS samples). Those detected by NBS remained well. CONCLUSIONS Morbidity and mortality remain high in those diagnosed as IEM during neonatal period. Despite the small sample size, this study calls attention to implement NBS wherever feasible.
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Affiliation(s)
- Umamaheswari Balakrishnan
- Department of Neonatology, Sri Ramachandra Institute of Higher Education and Research, Chennai, 600116, India. .,Sri Ramachandra Center of Excellence in Perinatal Health (SCOPE), Sri Ramachandra Institute of Higher Education and Research, Chennai, 600116, India.
| | - Ashok Chandrasekaran
- Department of Neonatology, Sri Ramachandra Institute of Higher Education and Research, Chennai, 600116, India.,Sri Ramachandra Center of Excellence in Perinatal Health (SCOPE), Sri Ramachandra Institute of Higher Education and Research, Chennai, 600116, India
| | - Prakash Amboiram
- Department of Neonatology, Sri Ramachandra Institute of Higher Education and Research, Chennai, 600116, India.,Sri Ramachandra Center of Excellence in Perinatal Health (SCOPE), Sri Ramachandra Institute of Higher Education and Research, Chennai, 600116, India
| | - Binu Ninan
- Department of Neonatology, Sri Ramachandra Institute of Higher Education and Research, Chennai, 600116, India.,Sri Ramachandra Center of Excellence in Perinatal Health (SCOPE), Sri Ramachandra Institute of Higher Education and Research, Chennai, 600116, India
| | - Sebatini Ignatious
- Department of Clinical Nutrition, Sri Ramachandra Institute of Higher Education and Research, Chennai, India
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Wang H, Qian Y, Lu Y, Qin Q, Lu G, Cheng G, Zhang P, Yang L, Wu B, Zhou W. Clinical utility of 24-h rapid trio-exome sequencing for critically ill infants. NPJ Genom Med 2020; 5:20. [PMID: 32411386 PMCID: PMC7200743 DOI: 10.1038/s41525-020-0129-0] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2019] [Accepted: 03/26/2020] [Indexed: 12/15/2022] Open
Abstract
Genetic diseases are a leading cause of death in infants in the intensive care setting; therefore, rapid and accurate genetic diagnosis is desired. To validate 24-h trio-exome sequencing (TES), samples from probands and their parents were processed by the AmpliSeq /Ion S5XL platform in a hospital clinical laboratory. Infants from the intensive care unit (ICU) suspected of having a genetic disease were enrolled. Regular and 24-h TES using the Agilent SureSelect capture kit/Illumina platform were performed on all samples in parallel. Of 33 enrolled infants, 23 received positive results with rapid TES, and an additional two diagnoses were achieved with regular TES. Among the 23 diagnosed patients, 10 experienced changes in medical management, such as hematopoietic stem cell transplant. Ten diagnosed cases were discharged prior to receiving the regular TES results; six received timely symptom control, and four withdrew medical support. Rapid TES enabled faster time to diagnosis, which resulted in an overall decrease in length of hospital stay. The 24-h TES can serve as a rapid response tool for patients with suspected monogenic disorders and can guide clinical decision-making in urgent cases.
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Affiliation(s)
- Huijun Wang
- 1Center for Molecular Medicine, Children's Hospital of Fudan University, 201102 Shanghai, China
| | - Yanyan Qian
- 1Center for Molecular Medicine, Children's Hospital of Fudan University, 201102 Shanghai, China
| | - Yulan Lu
- 1Center for Molecular Medicine, Children's Hospital of Fudan University, 201102 Shanghai, China
| | - Qian Qin
- 1Center for Molecular Medicine, Children's Hospital of Fudan University, 201102 Shanghai, China
| | - Guoping Lu
- 2Pediatric intensive care unit, Children's Hospital of Fudan University, 201102 Shanghai, China
| | - Guoqiang Cheng
- 3Department of Neonates, Key Laboratory of Neonatal Diseases, Ministry of Health, Children's Hospital of Fudan University, 201102 Shanghai, China
| | - Ping Zhang
- 1Center for Molecular Medicine, Children's Hospital of Fudan University, 201102 Shanghai, China
| | - Lin Yang
- 1Center for Molecular Medicine, Children's Hospital of Fudan University, 201102 Shanghai, China
| | - Bingbing Wu
- 1Center for Molecular Medicine, Children's Hospital of Fudan University, 201102 Shanghai, China
| | - Wenhao Zhou
- 1Center for Molecular Medicine, Children's Hospital of Fudan University, 201102 Shanghai, China.,2Pediatric intensive care unit, Children's Hospital of Fudan University, 201102 Shanghai, China
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10
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Zhang W, Yang Y, Peng W, Chang J, Mei Y, Yan L, Chen Y, Wei X, Liu Y, Wang Y, Feng Z. A 7-Year Report of Spectrum of Inborn Errors of Metabolism on Full-Term and Premature Infants in a Chinese Neonatal Intensive Care Unit. Front Genet 2020; 10:1302. [PMID: 31998365 PMCID: PMC6967400 DOI: 10.3389/fgene.2019.01302] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Accepted: 11/26/2019] [Indexed: 12/26/2022] Open
Abstract
Inborn errors of metabolism (IEMs) have great repercussions in neonatal intensive care units (NICUs). However, the integrative analysis of the incidence for full-term and premature neonates of IEMs in NICUs have not been reported. In this study, we aimed to estimate the incidence of IEMs in the NICU population so as to better evaluate the impact of IEMs on Chinese NICUs. A total of 42,257 newborns (proportion of premature as 36.7%) enrolled to the largest Chinese NICU center for a sequential 7 years screen, and 66 were diagnosed with IEMs. The prevalence of IEMs in total, full-term, and premature infants was 1:640, 1:446, and 1:2,584, respectively. In spectrum of our NICU, diseases that cause endogenous intoxication like methylmalonic acidemia accounted for 93.9% (62/66), and this ratio was higher in full-term infants with 98.3% (59/60), while the most prevalent disease in premature newborn was hyperphenylalaninemia (50%, 3/6), respectively. The genetic analysis of 49 cases revealed 62 potentially pathogenic mutations in 10 well-documented pathogenic genes of IEMs, among which 21 were novel. In conclusion, differences in incidence and spectrum of full-term and premature births we obtained in NICU will provide diagnostic guidelines and therapeutic clues of neonatal IEMs for pediatricians.
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Affiliation(s)
- Wanqiao Zhang
- BaYi Children's Hospital, Seventh Medical Center of PLA General Hospital, Beijing, China.,National Engineering Laboratory for Birth Defects Prevention and Control of Key Technology, Beijing, China.,Beijing Key Laboratory of Pediatric Organ Failure, Beijing, China
| | - Yao Yang
- BaYi Children's Hospital, Seventh Medical Center of PLA General Hospital, Beijing, China.,National Engineering Laboratory for Birth Defects Prevention and Control of Key Technology, Beijing, China.,Beijing Key Laboratory of Pediatric Organ Failure, Beijing, China
| | - Wei Peng
- BaYi Children's Hospital, Seventh Medical Center of PLA General Hospital, Beijing, China.,National Engineering Laboratory for Birth Defects Prevention and Control of Key Technology, Beijing, China.,Beijing Key Laboratory of Pediatric Organ Failure, Beijing, China
| | - Juan Chang
- BaYi Children's Hospital, Seventh Medical Center of PLA General Hospital, Beijing, China.,National Engineering Laboratory for Birth Defects Prevention and Control of Key Technology, Beijing, China.,Beijing Key Laboratory of Pediatric Organ Failure, Beijing, China
| | - Yabo Mei
- BaYi Children's Hospital, Seventh Medical Center of PLA General Hospital, Beijing, China.,National Engineering Laboratory for Birth Defects Prevention and Control of Key Technology, Beijing, China.,Beijing Key Laboratory of Pediatric Organ Failure, Beijing, China
| | - Lei Yan
- BaYi Children's Hospital, Seventh Medical Center of PLA General Hospital, Beijing, China.,National Engineering Laboratory for Birth Defects Prevention and Control of Key Technology, Beijing, China.,Beijing Key Laboratory of Pediatric Organ Failure, Beijing, China
| | - Yuhan Chen
- BaYi Children's Hospital, Seventh Medical Center of PLA General Hospital, Beijing, China.,National Engineering Laboratory for Birth Defects Prevention and Control of Key Technology, Beijing, China.,Beijing Key Laboratory of Pediatric Organ Failure, Beijing, China
| | - Xiujuan Wei
- BaYi Children's Hospital, Seventh Medical Center of PLA General Hospital, Beijing, China.,National Engineering Laboratory for Birth Defects Prevention and Control of Key Technology, Beijing, China.,Beijing Key Laboratory of Pediatric Organ Failure, Beijing, China
| | - Yabin Liu
- BaYi Children's Hospital, Seventh Medical Center of PLA General Hospital, Beijing, China.,National Engineering Laboratory for Birth Defects Prevention and Control of Key Technology, Beijing, China.,Beijing Key Laboratory of Pediatric Organ Failure, Beijing, China
| | - Yan Wang
- BaYi Children's Hospital, Seventh Medical Center of PLA General Hospital, Beijing, China.,National Engineering Laboratory for Birth Defects Prevention and Control of Key Technology, Beijing, China.,Beijing Key Laboratory of Pediatric Organ Failure, Beijing, China
| | - Zhichun Feng
- BaYi Children's Hospital, Seventh Medical Center of PLA General Hospital, Beijing, China.,National Engineering Laboratory for Birth Defects Prevention and Control of Key Technology, Beijing, China.,Beijing Key Laboratory of Pediatric Organ Failure, Beijing, China
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11
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Bower A, Imbard A, Benoist JF, Pichard S, Rigal O, Baud O, Schiff M. Diagnostic contribution of metabolic workup for neonatal inherited metabolic disorders in the absence of expanded newborn screening. Sci Rep 2019; 9:14098. [PMID: 31575911 PMCID: PMC6773867 DOI: 10.1038/s41598-019-50518-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Accepted: 09/05/2019] [Indexed: 12/11/2022] Open
Abstract
Inherited metabolic disorders (IMDs) in neonates are a diagnostic and therapeutic challenge for the neonatologist, with the priority being to rapidly flag the treatable diseases. The objective of this study was to evaluate the contribution of targeted metabolic testing for diagnosing suspected IMDs on the basis of suggestive clinical setting or family history in neonates. We conducted an observational study over five years, from January 1st, 2010 to December 31, 2014 in the neonatal intensive care unit (NICU) at Robert Debré University Hospital, Paris, France. We assessed the number of neonates for whom a metabolic testing was performed, the indication for each metabolic test and the diagnostic yield of this selected metabolic workup for diagnosing an IMD. Metabolic testing comprised at least one of the following testings: plasma, urine or cerebrospinal fluid amino acids, urine organic acids, plasma acylcarnitine profile, and urine mucopolysaccharides and oligosaccharides. 11,301 neonates were admitted at the neonatal ICU during the study period. One hundred and ninety six neonates underwent metabolic testing. Eleven cases of IMDs were diagnosed. This diagnostic approach allowed the diagnosis, treatment and survival of 4 neonates (maple syrup urine disease, propionic acidemia, carnitine-acylcarnitine translocase deficiency and type 1 tyrosinemia). In total, metabolic testing was performed for 1.7% of the total number of neonates admitted in the NICU over the study period. These included 23% finally unaffected neonates with transient abnormalities, 5.6% neonates suffering from an identified IMD, 45.4% neonates suffering from a non-metabolic identified disease and 26% neonates with chronic abnormalities but for whom no final causal diagnosis could be made. In conclusion, as expected, such a metabolic targeted workup allowed the diagnosis of classical neonatal onset IMDs in symptomatic newborns. However, this workup remained normal or unspecific for 94.4% of the tested patients. It allowed excluding an IMD in 68.4% of the tested neonates. In spite of the high rate of normal results, such a strategy seems acceptable due to the severity of the symptoms and the need for immediate treatment when available in neonatal IMDs. However, its cost-effectiveness remains low especially in a clinically targeted population in a country where newborn screening is still unavailable for IMDs except for phenylketonuria in 2019.
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Affiliation(s)
- Alexandra Bower
- Neonatal intensive care department, Robert Debré University Hospital, APHP, Paris, 75019, France
- Reference Center for Inborn Errors of Metabolism, Robert Debré University Hospital, APHP, Paris, 75019, France
| | - Apolline Imbard
- Biochemistry Laboratory, Robert Debré University Hospital, APHP, Paris, France
- Paris Sud University, Chatenay Malabry, France
| | - Jean-François Benoist
- Biochemistry Laboratory, Robert Debré University Hospital, APHP, Paris, France
- Paris Sud University, Chatenay Malabry, France
| | - Samia Pichard
- Reference Center for Inborn Errors of Metabolism, Robert Debré University Hospital, APHP, Paris, 75019, France
| | - Odile Rigal
- Biochemistry Laboratory, Robert Debré University Hospital, APHP, Paris, France
| | - Olivier Baud
- Neonatal intensive care department, Robert Debré University Hospital, APHP, Paris, 75019, France
- UMR1141, PROTECT, INSERM, Université de Paris, Paris, 75019, France
| | - Manuel Schiff
- Reference Center for Inborn Errors of Metabolism, Robert Debré University Hospital, APHP, Paris, 75019, France.
- UMR1141, PROTECT, INSERM, Université de Paris, Paris, 75019, France.
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12
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Petrikin JE, Cakici JA, Clark MM, Willig LK, Sweeney NM, Farrow EG, Saunders CJ, Thiffault I, Miller NA, Zellmer L, Herd SM, Holmes AM, Batalov S, Veeraraghavan N, Smith LD, Dimmock DP, Leeder JS, Kingsmore SF. The NSIGHT1-randomized controlled trial: rapid whole-genome sequencing for accelerated etiologic diagnosis in critically ill infants. NPJ Genom Med 2018; 3:6. [PMID: 29449963 PMCID: PMC5807510 DOI: 10.1038/s41525-018-0045-8] [Citation(s) in RCA: 150] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2017] [Revised: 01/02/2018] [Accepted: 01/12/2018] [Indexed: 12/31/2022] Open
Abstract
Genetic disorders are a leading cause of morbidity and mortality in infants in neonatal and pediatric intensive care units (NICU/PICU). While genomic sequencing is useful for genetic disease diagnosis, results are usually reported too late to guide inpatient management. We performed an investigator-initiated, partially blinded, pragmatic, randomized, controlled trial to test the hypothesis that rapid whole-genome sequencing (rWGS) increased the proportion of NICU/PICU infants receiving a genetic diagnosis within 28 days. The participants were families with infants aged <4 months in a regional NICU and PICU, with illnesses of unknown etiology. The intervention was trio rWGS. Enrollment from October 2014 to June 2016, and follow-up until November 2016. Of all, 26 female infants, 37 male infants, and 2 infants of undetermined sex were randomized to receive rWGS plus standard genetic tests (n = 32, cases) or standard genetic tests alone (n = 33, controls). The study was terminated early due to loss of equipoise: 73% (24) controls received genomic sequencing as standard tests, and 15% (five) controls underwent compassionate cross-over to receive rWGS. Nevertheless, intention to treat analysis showed the rate of genetic diagnosis within 28 days of enrollment (the primary end-point) to be higher in cases (31%, 10 of 32) than controls (3%, 1 of 33; difference, 28% [95% CI, 10-46%]; p = 0.003). Among infants enrolled in the first 25 days of life, the rate of neonatal diagnosis was higher in cases (32%, 7 of 22) than controls (0%, 0 of 23; difference, 32% [95% CI, 11-53%];p = 0.004). Median age at diagnosis (25 days [range 14-90] in cases vs. 130 days [range 37-451] in controls) and median time to diagnosis (13 days [range 1-84] in cases, vs. 107 days [range 21-429] in controls) were significantly less in cases than controls (p = 0.04). In conclusion, rWGS increased the proportion of NICU/PICU infants who received timely diagnoses of genetic diseases.
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Affiliation(s)
- Josh E. Petrikin
- Center for Pediatric Genomic Medicine, Children’s Mercy, Kansas City, MO 64108 USA
- Department of Pediatrics, Children’s Mercy, Kansas City, MO 64108 USA
- School of Medicine, University of Missouri, Kansas City, MO 64108 USA
| | - Julie A. Cakici
- Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA
| | - Michelle M. Clark
- Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA
| | - Laurel K. Willig
- Center for Pediatric Genomic Medicine, Children’s Mercy, Kansas City, MO 64108 USA
- Department of Pediatrics, Children’s Mercy, Kansas City, MO 64108 USA
- School of Medicine, University of Missouri, Kansas City, MO 64108 USA
| | - Nathaly M. Sweeney
- Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA
- Department of Pediatrics, University of California, Rady Children’s Hospital, San Diego, CA 92123 USA
| | - Emily G. Farrow
- Center for Pediatric Genomic Medicine, Children’s Mercy, Kansas City, MO 64108 USA
- Department of Pediatrics, Children’s Mercy, Kansas City, MO 64108 USA
- School of Medicine, University of Missouri, Kansas City, MO 64108 USA
| | - Carol J. Saunders
- Center for Pediatric Genomic Medicine, Children’s Mercy, Kansas City, MO 64108 USA
- School of Medicine, University of Missouri, Kansas City, MO 64108 USA
- Department of Pathology, Children’s Mercy, Kansas City, MO 64108 USA
| | - Isabelle Thiffault
- Center for Pediatric Genomic Medicine, Children’s Mercy, Kansas City, MO 64108 USA
- School of Medicine, University of Missouri, Kansas City, MO 64108 USA
- Department of Pathology, Children’s Mercy, Kansas City, MO 64108 USA
| | - Neil A. Miller
- Center for Pediatric Genomic Medicine, Children’s Mercy, Kansas City, MO 64108 USA
| | - Lee Zellmer
- Center for Pediatric Genomic Medicine, Children’s Mercy, Kansas City, MO 64108 USA
| | - Suzanne M. Herd
- Center for Pediatric Genomic Medicine, Children’s Mercy, Kansas City, MO 64108 USA
| | - Anne M. Holmes
- Department of Pediatrics, Children’s Mercy, Kansas City, MO 64108 USA
| | - Serge Batalov
- Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA
| | | | - Laurie D. Smith
- Center for Pediatric Genomic Medicine, Children’s Mercy, Kansas City, MO 64108 USA
- School of Medicine, University of Missouri, Kansas City, MO 64108 USA
- Department of Pediatrics, University of North Carolina, Chapel Hill, NC 27599 USA
| | - David P. Dimmock
- Rady Children’s Institute for Genomic Medicine, San Diego, CA 92123 USA
| | - J. Steven Leeder
- Department of Pediatrics, Children’s Mercy, Kansas City, MO 64108 USA
- School of Medicine, University of Missouri, Kansas City, MO 64108 USA
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13
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Dias Costa F, Moinho R, Ferreira S, Garcia P, Diogo L, Gonçalves I, Pinto C. Fallo hepático aguda asociado a enfermedades metabólicas hereditarias en niños pequeños. An Pediatr (Barc) 2018; 88:69-74. [DOI: 10.1016/j.anpedi.2017.02.012] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2016] [Revised: 02/10/2017] [Accepted: 02/15/2017] [Indexed: 01/24/2023] Open
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14
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Dias Costa F, Moinho R, Ferreira S, Garcia P, Diogo L, Gonçalves I, Pinto C. Acute liver failure related to inherited metabolic diseases in young children. ANALES DE PEDIATRÍA (ENGLISH EDITION) 2018. [DOI: 10.1016/j.anpede.2017.03.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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15
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Willig LK, Petrikin JE, Smith LD, Saunders CJ, Thiffault I, Miller NA, Soden SE, Cakici JA, Herd SM, Twist G, Noll A, Creed M, Alba PM, Carpenter SL, Clements MA, Fischer RT, Hays JA, Kilbride H, McDonough RJ, Rosterman JL, Tsai SL, Zellmer L, Farrow EG, Kingsmore SF. Whole-genome sequencing for identification of Mendelian disorders in critically ill infants: a retrospective analysis of diagnostic and clinical findings. THE LANCET RESPIRATORY MEDICINE 2015; 3:377-87. [PMID: 25937001 DOI: 10.1016/s2213-2600(15)00139-3] [Citation(s) in RCA: 281] [Impact Index Per Article: 31.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2015] [Revised: 03/30/2015] [Accepted: 04/01/2015] [Indexed: 12/28/2022]
Abstract
BACKGROUND Genetic disorders and congenital anomalies are the leading causes of infant mortality. Diagnosis of most genetic diseases in neonatal and paediatric intensive care units (NICU and PICU) is not sufficiently timely to guide acute clinical management. We used rapid whole-genome sequencing (STATseq) in a level 4 NICU and PICU to assess the rate and types of molecular diagnoses, and the prevalence, types, and effect of diagnoses that are likely to change medical management in critically ill infants. METHODS We did a retrospective comparison of STATseq and standard genetic testing in a case series from the NICU and PICU of a large children's hospital between Nov 11, 2011, and Oct 1, 2014. The participants were families with an infant younger than 4 months with an acute illness of suspected genetic cause. The intervention was STATseq of trios (both parents and their affected infant). The main measures were the diagnostic rate, time to diagnosis, and rate of change in management after standard genetic testing and STATseq. FINDINGS 20 (57%) of 35 infants were diagnosed with a genetic disease by use of STATseq and three (9%) of 32 by use of standard genetic testing (p=0·0002). Median time to genome analysis was 5 days (range 3-153) and median time to STATseq report was 23 days (5-912). 13 (65%) of 20 STATseq diagnoses were associated with de-novo mutations. Acute clinical usefulness was noted in 13 (65%) of 20 infants with a STATseq diagnosis, four (20%) had diagnoses with strongly favourable effects on management, and six (30%) were started on palliative care. 120-day mortality was 57% (12 of 21) in infants with a genetic diagnosis. INTERPRETATION In selected acutely ill infants, STATseq had a high rate of diagnosis of genetic disorders. Most diagnoses altered the management of infants in the NICU or PICU. The very high infant mortality rate indicates a substantial need for rapid genomic diagnoses to be allied with a novel framework for precision medicine for infants in NICU and PICU who are diagnosed with genetic diseases to improve outcomes. FUNDING Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Human Genome Research Institute, and National Center for Advancing Translational Sciences.
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Affiliation(s)
- Laurel K Willig
- Center for Pediatric Genomic Medicine, Children's Mercy-Kansas City, Kansas City, MO, USA; Department of Pediatrics, Children's Mercy-Kansas City, Kansas City, MO, USA; School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri 64108, USA
| | - Josh E Petrikin
- Center for Pediatric Genomic Medicine, Children's Mercy-Kansas City, Kansas City, MO, USA; Department of Pediatrics, Children's Mercy-Kansas City, Kansas City, MO, USA; School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri 64108, USA
| | - Laurie D Smith
- Center for Pediatric Genomic Medicine, Children's Mercy-Kansas City, Kansas City, MO, USA; Department of Pediatrics, Children's Mercy-Kansas City, Kansas City, MO, USA; School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri 64108, USA
| | - Carol J Saunders
- Center for Pediatric Genomic Medicine, Children's Mercy-Kansas City, Kansas City, MO, USA; Department of Pathology, Children's Mercy-Kansas City, Kansas City, MO, USA; School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri 64108, USA
| | - Isabelle Thiffault
- Center for Pediatric Genomic Medicine, Children's Mercy-Kansas City, Kansas City, MO, USA; Department of Pathology, Children's Mercy-Kansas City, Kansas City, MO, USA; School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri 64108, USA
| | - Neil A Miller
- Center for Pediatric Genomic Medicine, Children's Mercy-Kansas City, Kansas City, MO, USA
| | - Sarah E Soden
- Center for Pediatric Genomic Medicine, Children's Mercy-Kansas City, Kansas City, MO, USA; Department of Pediatrics, Children's Mercy-Kansas City, Kansas City, MO, USA; Department of Pathology, Children's Mercy-Kansas City, Kansas City, MO, USA
| | - Julie A Cakici
- Center for Pediatric Genomic Medicine, Children's Mercy-Kansas City, Kansas City, MO, USA
| | - Suzanne M Herd
- Center for Pediatric Genomic Medicine, Children's Mercy-Kansas City, Kansas City, MO, USA
| | - Greyson Twist
- Center for Pediatric Genomic Medicine, Children's Mercy-Kansas City, Kansas City, MO, USA
| | - Aaron Noll
- Center for Pediatric Genomic Medicine, Children's Mercy-Kansas City, Kansas City, MO, USA
| | - Mitchell Creed
- Center for Pediatric Genomic Medicine, Children's Mercy-Kansas City, Kansas City, MO, USA
| | - Patria M Alba
- Department of Pediatrics, Children's Mercy-Kansas City, Kansas City, MO, USA; School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri 64108, USA
| | - Shannon L Carpenter
- Department of Pediatrics, Children's Mercy-Kansas City, Kansas City, MO, USA; School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri 64108, USA
| | - Mark A Clements
- Department of Pediatrics, Children's Mercy-Kansas City, Kansas City, MO, USA; School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri 64108, USA
| | - Ryan T Fischer
- Department of Pediatrics, Children's Mercy-Kansas City, Kansas City, MO, USA; School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri 64108, USA
| | - J Allyson Hays
- Department of Pediatrics, Children's Mercy-Kansas City, Kansas City, MO, USA; School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri 64108, USA
| | - Howard Kilbride
- Department of Pediatrics, Children's Mercy-Kansas City, Kansas City, MO, USA; School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri 64108, USA
| | - Ryan J McDonough
- Department of Pediatrics, Children's Mercy-Kansas City, Kansas City, MO, USA
| | - Jamie L Rosterman
- Department of Pediatrics, Children's Mercy-Kansas City, Kansas City, MO, USA
| | - Sarah L Tsai
- Department of Pediatrics, Children's Mercy-Kansas City, Kansas City, MO, USA; School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri 64108, USA
| | - Lee Zellmer
- Center for Pediatric Genomic Medicine, Children's Mercy-Kansas City, Kansas City, MO, USA; Department of Pathology, Children's Mercy-Kansas City, Kansas City, MO, USA
| | - Emily G Farrow
- Center for Pediatric Genomic Medicine, Children's Mercy-Kansas City, Kansas City, MO, USA; School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri 64108, USA
| | - Stephen F Kingsmore
- Center for Pediatric Genomic Medicine, Children's Mercy-Kansas City, Kansas City, MO, USA; Department of Pediatrics, Children's Mercy-Kansas City, Kansas City, MO, USA; Department of Pathology, Children's Mercy-Kansas City, Kansas City, MO, USA; School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri 64108, USA.
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16
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Isabel IG, Cynthia FL, Diana RG, Leticia BM, Sara GL, Susana MS, Marcela VA. Inborn Errors of Intermediary Metabolism in Critically Ill Mexican Newborns. JOURNAL OF INBORN ERRORS OF METABOLISM AND SCREENING 2014. [DOI: 10.1177/2326409814529649] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Affiliation(s)
- Ibarra-González Isabel
- Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Fernández-Lainez Cynthia
- Laboratorio de Errores Innatos del Metabolismo y Tamiz, Instituto Nacional de Pediatría, Secretaría de Salud, México
| | - Reyes-González Diana
- Laboratorio de Errores Innatos del Metabolismo y Tamiz, Instituto Nacional de Pediatría, Secretaría de Salud, México
| | - Belmont-Martínez Leticia
- Laboratorio de Errores Innatos del Metabolismo y Tamiz, Instituto Nacional de Pediatría, Secretaría de Salud, México
| | - Guillén-López Sara
- Laboratorio de Errores Innatos del Metabolismo y Tamiz, Instituto Nacional de Pediatría, Secretaría de Salud, México
| | - Monroy-Santoyo Susana
- Laboratorio de Errores Innatos del Metabolismo y Tamiz, Instituto Nacional de Pediatría, Secretaría de Salud, México
| | - Vela-Amieva Marcela
- Laboratorio de Errores Innatos del Metabolismo y Tamiz, Instituto Nacional de Pediatría, Secretaría de Salud, México
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17
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Meng M, Zhang YP. Impact of inborn errors of metabolism on admission in a neonatal intensive care unit: a 4-year report. J Pediatr Endocrinol Metab 2013; 26:689-93. [PMID: 23612637 DOI: 10.1515/jpem-2013-0021] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2013] [Accepted: 03/07/2013] [Indexed: 11/15/2022]
Abstract
Inborn errors of metabolism (IEM) have greater repercussions in neonatology units. The aim of our study was to evaluate the impact of IEM in a neonatal intensive care unit (NICU) and the resources required to care for these neonates. All patients with IEM admitted in our unit during a 4-year period were evaluated for specific diagnosis, demographic data, clinical features, biochemical characteristics at admission, need for mechanical ventilation, use of extracorporeal removal therapy, and outcome at NICU discharge. The study group comprised 2742 infants, 39 of which required admission to the NICU (1.42% of admissions) because of severe symptoms and/or newborn screening. Five of the 39 had an earlier diagnosis and treatment because of expanded newborn screening. The average age at admission was 5 days [interquartile range (IQR, 3-9 days)] and the median length of stay in the NICU for the study population was 5 days (IQR, 3-12 days). Aggressive support was often necessary (extracorporeal removal therapy, mechanical ventilation). Ten patients died; thus the death rate was 25.6%. Overall mortality in the NICU was 10.4% during the study period. These observations shown that IEM may be very common in our population. Most patients with IEM admitted to a NICU require aggressive support (including mechanical ventilation and extracorporeal removal therapies), and consume significant resources for relatively shorter stays.
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18
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Saunders CJ, Miller NA, Soden SE, Dinwiddie DL, Noll A, Alnadi NA, Andraws N, Patterson ML, Krivohlavek LA, Fellis J, Humphray S, Saffrey P, Kingsbury Z, Weir JC, Betley J, Grocock RJ, Margulies EH, Farrow EG, Artman M, Safina NP, Petrikin JE, Hall KP, Kingsmore SF. Rapid whole-genome sequencing for genetic disease diagnosis in neonatal intensive care units. Sci Transl Med 2012; 4:154ra135. [PMID: 23035047 PMCID: PMC4283791 DOI: 10.1126/scitranslmed.3004041] [Citation(s) in RCA: 451] [Impact Index Per Article: 37.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Monogenic diseases are frequent causes of neonatal morbidity and mortality, and disease presentations are often undifferentiated at birth. More than 3500 monogenic diseases have been characterized, but clinical testing is available for only some of them and many feature clinical and genetic heterogeneity. Hence, an immense unmet need exists for improved molecular diagnosis in infants. Because disease progression is extremely rapid, albeit heterogeneous, in newborns, molecular diagnoses must occur quickly to be relevant for clinical decision-making. We describe 50-hour differential diagnosis of genetic disorders by whole-genome sequencing (WGS) that features automated bioinformatic analysis and is intended to be a prototype for use in neonatal intensive care units. Retrospective 50-hour WGS identified known molecular diagnoses in two children. Prospective WGS disclosed potential molecular diagnosis of a severe GJB2-related skin disease in one neonate; BRAT1-related lethal neonatal rigidity and multifocal seizure syndrome in another infant; identified BCL9L as a novel, recessive visceral heterotaxy gene (HTX6) in a pedigree; and ruled out known candidate genes in one infant. Sequencing of parents or affected siblings expedited the identification of disease genes in prospective cases. Thus, rapid WGS can potentially broaden and foreshorten differential diagnosis, resulting in fewer empirical treatments and faster progression to genetic and prognostic counseling.
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Affiliation(s)
- Carol Jean Saunders
- Center for Pediatric Genomic Medicine, Children’s Mercy Hospital, Kansas City, MO 64108, USA
- Department of Pediatrics, Children’s Mercy Hospital, Kansas City, MO 64108, USA
- Department of Pathology, Children’s Mercy Hospital, Kansas City, MO 64108, USA
- School of Medicine, University of Missouri-Kansas City, Kansas City, MO 64108, USA
- University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Neil Andrew Miller
- Center for Pediatric Genomic Medicine, Children’s Mercy Hospital, Kansas City, MO 64108, USA
- Department of Pediatrics, Children’s Mercy Hospital, Kansas City, MO 64108, USA
- School of Medicine, University of Missouri-Kansas City, Kansas City, MO 64108, USA
| | - Sarah Elizabeth Soden
- Center for Pediatric Genomic Medicine, Children’s Mercy Hospital, Kansas City, MO 64108, USA
- Department of Pediatrics, Children’s Mercy Hospital, Kansas City, MO 64108, USA
- School of Medicine, University of Missouri-Kansas City, Kansas City, MO 64108, USA
| | - Darrell Lee Dinwiddie
- Center for Pediatric Genomic Medicine, Children’s Mercy Hospital, Kansas City, MO 64108, USA
- Department of Pediatrics, Children’s Mercy Hospital, Kansas City, MO 64108, USA
- Department of Pathology, Children’s Mercy Hospital, Kansas City, MO 64108, USA
- School of Medicine, University of Missouri-Kansas City, Kansas City, MO 64108, USA
- University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Aaron Noll
- Center for Pediatric Genomic Medicine, Children’s Mercy Hospital, Kansas City, MO 64108, USA
| | - Noor Abu Alnadi
- School of Medicine, University of Missouri-Kansas City, Kansas City, MO 64108, USA
| | - Nevene Andraws
- Department of Pathology, Children’s Mercy Hospital, Kansas City, MO 64108, USA
| | - Melanie LeAnn Patterson
- Center for Pediatric Genomic Medicine, Children’s Mercy Hospital, Kansas City, MO 64108, USA
- Department of Pathology, Children’s Mercy Hospital, Kansas City, MO 64108, USA
| | - Lisa Ann Krivohlavek
- Center for Pediatric Genomic Medicine, Children’s Mercy Hospital, Kansas City, MO 64108, USA
- Department of Pathology, Children’s Mercy Hospital, Kansas City, MO 64108, USA
| | - Joel Fellis
- Illumina Inc., Chesterford Research Park, Little Chesterford, CB10 1XL Essex, UK
| | - Sean Humphray
- Illumina Inc., Chesterford Research Park, Little Chesterford, CB10 1XL Essex, UK
| | - Peter Saffrey
- Illumina Inc., Chesterford Research Park, Little Chesterford, CB10 1XL Essex, UK
| | - Zoya Kingsbury
- Illumina Inc., Chesterford Research Park, Little Chesterford, CB10 1XL Essex, UK
| | | | - Jason Betley
- Illumina Inc., Chesterford Research Park, Little Chesterford, CB10 1XL Essex, UK
| | | | | | - Emily Gwendolyn Farrow
- Center for Pediatric Genomic Medicine, Children’s Mercy Hospital, Kansas City, MO 64108, USA
| | - Michael Artman
- Department of Pediatrics, Children’s Mercy Hospital, Kansas City, MO 64108, USA
- School of Medicine, University of Missouri-Kansas City, Kansas City, MO 64108, USA
| | - Nicole Pauline Safina
- Center for Pediatric Genomic Medicine, Children’s Mercy Hospital, Kansas City, MO 64108, USA
- School of Medicine, University of Missouri-Kansas City, Kansas City, MO 64108, USA
| | - Joshua Erin Petrikin
- Department of Pediatrics, Children’s Mercy Hospital, Kansas City, MO 64108, USA
- Department of Pathology, Children’s Mercy Hospital, Kansas City, MO 64108, USA
| | - Kevin Peter Hall
- Illumina Inc., Chesterford Research Park, Little Chesterford, CB10 1XL Essex, UK
| | - Stephen Francis Kingsmore
- Center for Pediatric Genomic Medicine, Children’s Mercy Hospital, Kansas City, MO 64108, USA
- Department of Pediatrics, Children’s Mercy Hospital, Kansas City, MO 64108, USA
- Department of Pathology, Children’s Mercy Hospital, Kansas City, MO 64108, USA
- School of Medicine, University of Missouri-Kansas City, Kansas City, MO 64108, USA
- University of Kansas Medical Center, Kansas City, KS 66160, USA
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19
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Couce ML, Castiñeiras DE, Bóveda MD, Baña A, Cocho JA, Iglesias AJ, Colón C, Alonso-Fernández JR, Fraga JM. Evaluation and long-term follow-up of infants with inborn errors of metabolism identified in an expanded screening programme. Mol Genet Metab 2011; 104:470-5. [PMID: 22000754 DOI: 10.1016/j.ymgme.2011.09.021] [Citation(s) in RCA: 67] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2011] [Revised: 09/15/2011] [Accepted: 09/16/2011] [Indexed: 11/18/2022]
Abstract
Newborn screening (NBS) by tandem mass spectrometry started in Galicia (Spain) in 2000. We analyse the results of screening and clinical follow-up of inborn errors of metabolism (IEM) detected during 10 years. Our programme basically includes the disorders recommended by the American College of Medical Genetics. Since 2002, blood and urine samples have been collected from every newborn on the 3rd day of life; before then, samples were collected between the 5th and 8th days. Newborns who show abnormal results are referred to the clinical unit for diagnosis and treatment. In these 10 years, NBS has led directly to the identification of 137 IEM cases (one per 2060 newborns, if 35 cases of benign hyperphenylalaninemia are excluded). In addition, 33 false positive results and 10 cases of transitory elevation of biomarkers were identified (making the positive predictive rate 76.11%), and 4 false negative results. The use of urine samples contributed significantly to IEM detection in 44% of cases. Clinical symptoms appeared before positive screening results in nine patients (6.6%), four of them screened between days 5 and 8. The death rate was 2.92%; of the survivors, 95.5% were asymptomatic after a mean observation period of 54 months, and only two had an intellectual/psychomotor development score less than 85. Compared to other studies, a high incidence of type I glutaric aciduria was detected, one in 35,027 newborns. This report highlights the benefits of urine sample collection during screening, and it is the first study on expanded newborn screening results in Spain.
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Affiliation(s)
- Ma Luz Couce
- Unidad de Diagnóstico y Tratamiento de Enfermedades Metabólicas Congénitas, Departamento de Pediatría, Hospital Clínico Universitario de Santiago, Spain.
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