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Uebel H, Dronavalli M, Lawler K, Lee E, Bajuk B, Burns L, Page A, Dickson M, Green C, Dicair L, Eastwood J, Oei JL. School performance in children with prenatal drug exposure and out-of-home care in NSW, Australia: a retrospective population-based cohort study. THE LANCET. CHILD & ADOLESCENT HEALTH 2024; 8:500-509. [PMID: 38897715 DOI: 10.1016/s2352-4642(24)00076-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Revised: 03/05/2024] [Accepted: 03/18/2024] [Indexed: 06/21/2024]
Abstract
BACKGROUND Prenatal drug exposure (PDE) is a global public health problem that is strongly associated with the need for child protection services, including placement into out-of-home care (OOHC). We aimed to assess school outcomes for children with PDE (both with and without neonatal abstinence syndrome [NAS]) and the association of school performance with OOHC. METHODS Using linked population health, OOHC, and school test data, we compared results on the Australian standardised curriculum-based test, the National Assessment Program-Literacy and Numeracy (NAPLAN), for children with PDE who were born in New South Wales (NSW) between 2001 and 2020 and had completed at least one NAPLAN test between Jan 1, 2008, and June 30, 2021, administered in Year 3 (age 8-9 years), Year 5 (age 10-11 years), Year 7 (age 12-13 years), or Year 9 (age 14-15 years). Linked datasets included NSW Perinatal Data Collection (birth data), NSW Admitted Patient Data Collection (hospital diagnoses), NSW Education Standards Authority (NAPLAN scores), NSW Family and Community Services Dataset-KiDS Data Collection (OOHC information), NSW Mental Health Ambulatory Data Collection, and NSW Registry for Births, Deaths, and Marriages. The primary outcome was scoring above or below the National Minimum Standard (NMS) in any test domain (mathematics, language, writing, and spelling) at each year level, comparing the relative risk of scoring below NMS between children with and without PDE (and with or without NAS within the PDE group), and with and without OOHC contact. The association between OOHC on the likelihood of scoring above NMS was also investigated for PDE and non-PDE cohorts. FINDINGS The PDE cohort included 3836 children, and the non-PDE cohort included 897 487 children. Within the PDE cohort, 3192 children had a NAS diagnosis and 644 children had no NAS diagnosis. 1755 (45·8%) children with PDE required OOHC compared with 12 880 (1·4%) of 897 487 children without PDE. Children with PDE were more likely than children without PDE to score below NMS in any domain from Year 3 (risk ratio 2·72 [95% CI 2·58-2·76]) to Year 9 (2·36 [2·22-2·50]). Performance was similar regardless of a NAS diagnosis (Year 3: 0·96 [0·84-1·10]; Year 9: 0·98 [0·84-1·15]). The likelihood of scoring above NMS in Year 9 was reduced for children with PDE and without NAS (0·57 [0·45-0·73]) and NAS (0·58 [0·52-0·64]) compared with those without PDE, and also for children who received OOHC (0·60 [0·57-0·64]) compared with those without OOHC, when adjusted for confounders. Among children with PDE, those receiving OOHC had a similar likelihood of scoring above NMS compared with children who did not receive OOHC, from Year 3 (1·01 [0·92-1·11]) to Year 9 (0·90 [0·73-1·10]), when adjusted for confounding factors. By contrast, among children without PDE, those receiving OOHC were less likely to score above NMS than those who did not receive OOHC, from Year 3 (0·78 [0·76-0·80]) to Year 9 (0·58 [0·54-0·61]). INTERPRETATION Compared with children without PDE, school performance in children with PDE-regardless of whether they were diagnosed with NAS-is poor, and the gap widens with age. The risk of poor performance persists regardless of OOHC status. This finding underscores the need for all children with PDE to receive long-term, culturally sensitive, and proactive support to improve life success. FUNDING SPHERE Mindgardens Neuroscience Network, Australian Red Cross, Alpha Maxx Healthcare, Centre for Research Excellence for Integrated Health and Social Care, National Health and Medical Research Council, and University of Sydney.
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Affiliation(s)
- Hannah Uebel
- School of Women's and Children's Health, University of New South Wales, Kensington, NSW, Australia; Department of Paediatrics, Sydney Children's Hospital, Sydney, NSW, Australia.
| | - Mithilesh Dronavalli
- Translational Health Research Institute, Western Sydney University, Penrith, NSW, Australia
| | - Kate Lawler
- School of Women's and Children's Health, University of New South Wales, Kensington, NSW, Australia
| | - Evelyn Lee
- Centre for Social Research in Health, University of New South Wales, Kensington, NSW, Australia; Centre for Economic Impacts of Genomic Medicine, Macquarie University, North Ryde, NSW, Australia
| | - Barbara Bajuk
- Critical Care Program, Sydney Children's Hospitals Network, Sydney, NSW, Australia
| | - Lucinda Burns
- National Drug and Alcohol Research Centre, University of New South Wales, Kensington, NSW, Australia
| | - Andrew Page
- Translational Health Research Institute, Western Sydney University, Penrith, NSW, Australia
| | - Michelle Dickson
- The Poche Centre for Indigenous Health, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia
| | | | - Lauren Dicair
- The Poche Centre for Indigenous Health, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia
| | - John Eastwood
- National Public Health Service, Te Whatu Ora-Health New Zealand, Dunedin, New Zealand; School of Population Health, University of New South Wales, Kensington, NSW, Australia; Department of Preventative and Social Medicine, University of Otago, Dunedin, New Zealand; Sydney Institute for Women Children and their Families, Sydney Local Health District, Sydney, New South Wales, Australia; Menzies Centre for Health Policy and Economics, School of Public Health, University of Sydney, Camperdown, New South Wales, Australia; Early Years Research Group, Ingham Institute for Applied Medical Research, Liverpool, New South Wales, Australia
| | - Ju Lee Oei
- School of Women's and Children's Health, University of New South Wales, Kensington, NSW, Australia; Department of Newborn Care, Royal Hospital for Women, Randwick, New South Wales, Australia; Drug and Alcohol Services, Murrumbidgee Local Health District, Wagga Wagga, New South Wales, Australia
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Fong J, Lewis J, Lam M, Kesavan K. Developmental Outcomes after Opioid Exposure in the Fetus and Neonate. Neoreviews 2024; 25:e325-e337. [PMID: 38821910 DOI: 10.1542/neo.25-6-e325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 11/05/2023] [Accepted: 12/06/2023] [Indexed: 06/02/2024]
Abstract
The overall prevalence of opiate use has been increasing, currently affecting approximately 0.6% of the global population and resulting in a significant proportion of infants being born with prenatal opioid exposure. Animal and human models of prenatal opioid exposure demonstrate detrimental effects on brain anatomy as well as neurodevelopment. Less is known about the neurologic sequelae of postnatal opioid exposure in hospitalized infants. In this review, we summarize our current understanding of the impact of prenatal and postnatal opioid exposure on the brain and on neurodevelopment outcomes. We also identify resources and management strategies that may help mitigate neurodevelopmental delays and deficits associated with opioid exposure in this vulnerable population.
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Affiliation(s)
- Jeanette Fong
- Department of Pediatrics, University of California, Los Angeles, CA
| | - Juanita Lewis
- Department of Pediatrics, Olive View UCLA Medical Center, Sylmar, CA
| | - Melanie Lam
- Department of Pediatrics, University of California, Los Angeles, CA
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Kim F, Maitre N. A Call for Early Detection of Cerebral Palsy. Neoreviews 2024; 25:e1-e11. [PMID: 38161182 DOI: 10.1542/neo.25-1-e1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
Cerebral palsy (CP) is the most common physical disability across the lifespan, but historically, CP has not been diagnosed before the age of 2 years. Barriers to early diagnosis ranged from lack of available biomarkers, absence of curative treatments, perceived stigma associated with a lifelong diagnosis, and a desire to rule out other diagnoses first. Most importantly, the fundamental question that remained was whether children would benefit from earlier detection and intervention given the paucity of research. However, evidence-based guidelines published in 2017 demonstrated that the General Movements Assessment, the Hammersmith Infant Neurological Examination, and neuroimaging can be combined with other elements such as a clinical history and standardized motor assessments to provide the highest predictive value for diagnosing CP as early as age 3 months in high-risk newborns. Implementation of these guidelines has been successful in decreasing the age at CP diagnosis, particularly in high-risk infant follow-up clinics with expertise in performing these assessments. Early detection of CP allows for clinical and research opportunities investigating earlier interventions during a critical period of neuroplasticity, with the goal of improving developmental trajectories for children and their families. New guidelines and research are now being developed with a focus on early, targeted interventions that continue to be studied, along with global detection initiatives.
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Affiliation(s)
- Faith Kim
- Department of Pediatrics, Columbia University Irving Medical Center/NewYork-Presbyterian Children's Hospital of New York, New York, NY
| | - Nathalie Maitre
- Department of Pediatrics, Emory University School of Medicine, Children's Healthcare of Atlanta, Atlanta, GA
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Rouabhi A, Husein N, Dewey D, Letourneau N, Daboval T, Oskoui M, Kirton A, Shevell M, Dunbar MJ. Development of a Bedside Tool to Predict the Diagnosis of Cerebral Palsy in Term-Born Neonates. JAMA Pediatr 2023; 177:177-186. [PMID: 36648921 PMCID: PMC9857831 DOI: 10.1001/jamapediatrics.2022.5177] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 08/24/2022] [Indexed: 01/18/2023]
Abstract
Importance Cerebral palsy (CP) is the most common abnormality of motor development and causes lifelong impairment. Early diagnosis and therapy can improve outcomes, but early identification of infants at risk remains challenging. Objective To develop a CP prognostic tool that can be applied to all term neonates to identify those at increased risk of developing CP. Design, Setting, and Participants This case-control study used data from the Canadian Cerebral Palsy Registry (data collected from January 2003 to December 2019) for children with CP and the Alberta Pregnancy Outcomes and Nutrition study (mothers enrolled from May 2009 to September 2012; data extracted in 2020) for controls. There were 2771 children with CP and 2131 controls evaluated; 941 and 144, respectively, were removed for gestational age less than 37 weeks at birth, 565 with CP removed for incomplete data, and 2 controls removed for a diagnosis of CP. Data were analyzed from April to August 2022. Exposures Potential risk factors were selected a priori based on the literature, including maternal, intrapartum, and infant characteristics. Main Outcomes and Measures Diagnosis of CP, defined as a disorder of motor function due to a nonprogressive brain abnormality before age 1 year and classified by Gross Motor Function Classification System levels I to V. Results Of 3250 included individuals, 1752 (53.9%) were male, and the median (IQR) gestational age at birth was 39 (38-40) weeks. Encephalopathy was present in 335 of 1184 infants with CP (28%) and 0 controls. The final prediction model included 12 variables and correctly classified 75% of infants, with a sensitivity of 56% (95% CI, 52-60) and specificity of 82% (95% CI, 81-84). The C statistic was 0.74 (95% CI, 71-76). Risk factors were found to be additive. A proposed threshold for screening is probability greater than 0.3, with a sensitivity of 65% (95% CI, 61-68) and specificity of 71% (95% CI, 69-73). The prognostic tool identified 2.4-fold more children with CP than would have presented with encephalopathy (odds ratio, 13.8; 95% CI, 8.87-22.65; P < .001). Conclusions and Relevance In this case-control study, a prognostic model using 12 clinical variables improved the prediction of CP compared with clinical presentation with encephalopathy. This tool can be applied to all term newborns to help select infants for closer surveillance or further diagnostic tests, which could improve outcomes through early intervention.
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Affiliation(s)
- Amira Rouabhi
- Faculty of Medicine and Health Sciences, McGill University, Montreal, Quebec, Canada
| | - Nafisa Husein
- Department of Pediatrics, McGill University, Montreal, Quebec, Canada
| | - Deborah Dewey
- Alberta Children’s Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Pediatrics, University of Calgary, Calgary, Alberta, Canada
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
| | - Nicole Letourneau
- Alberta Children’s Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Pediatrics, University of Calgary, Calgary, Alberta, Canada
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
- Faculty of Nursing, Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
| | - Thierry Daboval
- Department of Pediatrics, Children’s Hospital of Eastern Ontario, University of Ottawa, Ottawa, Ontario, Canada
| | - Maryam Oskoui
- Department of Pediatrics, McGill University, Montreal, Quebec, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Adam Kirton
- Alberta Children’s Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Pediatrics, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Michael Shevell
- Department of Pediatrics, McGill University, Montreal, Quebec, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Mary J. Dunbar
- Alberta Children’s Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Pediatrics, University of Calgary, Calgary, Alberta, Canada
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
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