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Journault M, Murthy P, Bansal N, Tang S, Al Awad E, Creighton D, Newman J, Lodha A. The association of maternal overweight on long-term neurodevelopmental outcomes in premature infants (< 29 weeks) at 18-24 months corrected age. J Perinatol 2023; 43:1413-1419. [PMID: 37479886 DOI: 10.1038/s41372-023-01733-1] [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: 02/24/2023] [Revised: 07/04/2023] [Accepted: 07/11/2023] [Indexed: 07/23/2023]
Abstract
OBJECTIVE To determine the association of maternal pre-pregnancy body mass index (BMI) and neurodevelopmental impairment (NDI) at 18-24 months corrected age (CA) in infants born < 29 weeks gestation. STUDY DESIGN Infants born between 2005 and 2015 at < 29 weeks gestation were included. BMI was categorized into BMI1 [18.5-24.9 kg/m2], BMI2 [25-29.9 kg/m2], BMI3 [ ≥ 30 kg/m2]. Primary outcome was death or NDI (Bayley-III scores < 85, cerebral palsy, hearing or visual impairment). Univariate and multivariate analysis were used. RESULTS There were 315 infants in BMI1, 235 in BMI2, and 147 in BMI3 groups. Adjusted odds ratio (aOR) of death or NDI in BMI2 vs. BMI1 and BMI3 vs BMI1 groups were 1.33 (95% CI 0.86-2.06) and 0.76 (95% CI 0.47-1.22). Adjusted odds ratio of Bayley-III language composite < 85 was 2.06 (95% CI 1.28-3.32). CONCLUSION Pre-pregnancy BMI was not associated with death or NDI in extremely preterm infants. Infants born to overweight mothers had higher odds of low language scores.
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Affiliation(s)
- Marina Journault
- Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Alberta Health Services, Calgary, Alberta, Canada
| | - Prashanth Murthy
- Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Alberta Health Services, Calgary, Alberta, Canada
| | - Neha Bansal
- Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Alberta Health Services, Calgary, Alberta, Canada
| | - Selphee Tang
- Alberta Health Services, Calgary, Alberta, Canada
| | - Essa Al Awad
- Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Alberta Health Services, Calgary, Alberta, Canada
| | - Dianne Creighton
- Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Jill Newman
- Alberta Health Services, Calgary, Alberta, Canada
| | - Abhay Lodha
- Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
- Alberta Health Services, Calgary, Alberta, Canada.
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
- Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
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Danielsen BH, Carmichael SL, Gould JB, Lee HC. Linked birth cohort files for perinatal health research: California as a model for methodology and implementation. Ann Epidemiol 2023; 79:10-18. [PMID: 36603709 PMCID: PMC9957937 DOI: 10.1016/j.annepidem.2022.12.014] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 12/20/2022] [Accepted: 12/29/2022] [Indexed: 01/04/2023]
Abstract
PURPOSE Rigorous perinatal epidemiologic research depends on population-based parental and neonatal sociodemographic and clinical data. Here we describe the creation of linked birth cohort files, an enriched data source that combines information from vital records with maternal delivery and infant hospital encounter records. METHODS Probabilistic linkage techniques were used to link vital records (i.e., birth and fetal death certificates) from the California Department of Public Health with hospital inpatient, ambulatory surgery and emergency department encounter data for mothers and infants from the California Department of Health Care Access and Information. RESULTS From 2012 to 2018, 95% of live birth records were successfully linked to maternal and newborn hospital records while 85% of fetal death records were linked to a maternal delivery record. Overall, 93% of postnatal hospital encounters of infants (i.e., <1 year old) were matched to a linked record. CONCLUSIONS The linked birth cohort files is a rich resource opening many possibilities for understanding perinatal health outcomes and opportunities for linkage to longitudinal, social determinant, and environmental data. To optimally use this file for research, analysts should evaluate possible shortcomings or biases of the data sources being linked.
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Affiliation(s)
| | - Suzan L Carmichael
- Division of Neonatology and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA; Division of Maternal-Fetal Medicine and Obstetrics, Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA, USA.
| | - Jeffrey B Gould
- Division of Neonatology and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Henry C Lee
- Division of Neonatology, Department of Pediatrics, University of California San Diego, CA, USA
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Critical examination of relationships between early growth and childhood overweight in extremely preterm infants. J Perinatol 2021; 41:2774-2781. [PMID: 34404924 DOI: 10.1038/s41372-021-01182-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 07/19/2021] [Accepted: 07/29/2021] [Indexed: 02/07/2023]
Abstract
OBJECTIVES To identify the prevalence and risk factors for childhood overweight and obesity (OWO) at 3-year corrected age in children born <1500 g <29 weeks gestation. STUDY DESIGN A multicentre retrospective cohort study for preterm infants admitted to neonatal intensive care units between 2001 and 2014. RESULTS Data were available for 911 (89.4%) of the 1019 infants who met the inclusion criteria. Of them, 22 (2.4%) had OWO. There were no associations between OWO and being small for gestational age (RR = 1.3, 95% confidence interval (CI): 0.3-5.4) or weight <10th percentile at 36 weeks (RR = 1.1, 95% CI: 0.4-2.8). OWO was associated with low maternal education (RR = 7.4, 95% CI: 2.1-26), maternal diabetes (RR = 5.2, 95% CI: 1.9-15) and neonatal brain injury (RR = 4.9, 95% CI: 1.8-14). Adjusting for concurrent child weight at 3 years of age resulted in an overadjustment bias. CONCLUSION Small size at birth or at 36 weeks gestation in extremely preterm infants is not associated with increased risk of early childhood overgrowth or obesity. CLINICAL TRIAL REGISTRATION NCT03064022.
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Avram CM, Garg B, Skeith AE, Caughey AB. Maternal body-mass-index and neonatal brachial plexus palsy in a California cohort. J Matern Fetal Neonatal Med 2021; 35:6953-6960. [PMID: 34096464 DOI: 10.1080/14767058.2021.1932804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
OBJECTIVE To evaluate risk factors and describe the association between maternal pre-pregnancy body-mass-index (BMI) and neonatal brachial plexus palsy (BPP) in vaginal deliveries with and without shoulder dystocia. METHODS This is a retrospective cohort study of singleton, non-anomalous, term vaginal deliveries in California (2007-2011). Deliveries were classified as with or without shoulder dystocia. Our primary outcome was BPP and the independent variable of interest was maternal pre-pregnancy BMI, which was categorized as underweight (<18.5 kg/m2), normal weight (18.5-24.9 kg/m2), overweight (25-29.9 kg/m2), obesity I (30-34.9 kg/m2), obesity II (35-39.9 kg/m2) and obesity III (≥40 kg/m2). We evaluated demographics, maternal, labor, and neonatal characteristics using chi-squared tests and assessed the association of pre-pregnancy BMI with BPP using multivariable logistic regression models. RESULTS In our cohort of 1,395,761 women, there were 21,463 deliveries with shoulder dystocia and 1,374,298 deliveries without shoulder dystocia. Among deliveries with shoulder dystocia, BPP was observed more frequently in neonates born to women with BMI categorized as overweight (32% vs. 29%; p < .001), obesity I (22% vs. 14%; p < .001), obesity II (10% vs. 6%; p < .001), and obesity III (8% vs. 3%; p < .001). After adjusting for confounders, the odds of BPP in deliveries with shoulder dystocia was significantly higher for women who were overweight (aOR = 1.65; 95% CI: 1.35-2.01), obesity I (aOR = 2.33; 95% CI: 1.86-2.90), obesity II (aOR = 2.56; 95% CI: 1.92-3.40), and obesity III (aOR = 3.80; 95% CI: 2.75-5.25). In deliveries without shoulder dystocia, BPP was more common in women with a BMI that was overweight (29% vs. 25%; p < .001), obesity I (17% vs. 11%; p < .001), obesity II (9% vs. 4%; p < .001), and obesity III (8% vs. 2%; p < .001). In this cohort, multivariable regression model showed similar results in women with a BMI that was overweight (aOR = 1.47; 95% CI: 1.19-1.81), obesity I (aOR = 1.99; 95% CI: 1.55-2.54), obesity II (aOR = 2.79; 95% CI: 2.04-3.83), and obesity III (aOR = 5.05; 95% CI: 3.63-7.03). CONCLUSION Rising maternal pre-pregnancy BMI is associated with an increased risk of BPP in vaginal deliveries with and without shoulder dystocia. Preconception interventions targeting weight management may be beneficial in reducing BPP in all deliveries.
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Affiliation(s)
- Carmen M Avram
- Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC, USA
| | - Bharti Garg
- Department of Obstetrics and Gynecology, Oregon Health & Science University, Portland, OR, USA
| | - Ashley E Skeith
- Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, MI, USA
| | - Aaron B Caughey
- Department of Obstetrics and Gynecology, Oregon Health & Science University, Portland, OR, USA
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Chawla S, Laptook AR, Smith EA, Tan S, Natarajan G, Wyckoff MH, Ambalavanan N, Bell EF, Van Meurs KP, Stevenson DK, Werner EF, Greenberg RG, Das A, Shankaran S. In-hospital mortality and morbidity among extremely preterm infants in relation to maternal body mass index. J Perinatol 2021; 41:1014-1024. [PMID: 33024258 PMCID: PMC8021608 DOI: 10.1038/s41372-020-00847-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Revised: 08/24/2020] [Accepted: 09/24/2020] [Indexed: 01/15/2023]
Abstract
OBJECTIVE The objective of this paper is to compare in-hospital survival and survival without major morbidities in extremely preterm infants in relation to maternal body mass index (BMI). METHODS This retrospective cohort study included extremely preterm infants (gestational age 220/7-286/7 weeks). This study was conducted at National Institute of Child Health and Human Development Neonatal Research Network sites. Primary outcome was survival without any major morbidity. RESULTS Maternal BMI data were available for 2415 infants. Survival without any major morbidity was not different between groups: 30.8% in the underweight/normal, 28.1% in the overweight, and 28.5% in the obese (P = 0.65). However, survival was lower in the obese group (76.5%) compared with overweight group (83.2%) (P = 0.02). Each unit increase in maternal BMI was associated with decreased odds of infant survival (P < 0.01). CONCLUSIONS Survival without any major morbidity was not associated with maternal obesity. An increase in maternal prepregnancy BMI was associated with decreased odds of infant survival.
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Affiliation(s)
- Sanjay Chawla
- Department of Pediatrics, Wayne State University, Detroit, MI, USA.
| | - Abbot R Laptook
- Department of Pediatrics, Women and Infants Hospital, Alpert Medical School of Brown University, Providence, RI, USA
| | | | | | - Girija Natarajan
- Department of Pediatrics, Wayne State University, Detroit, MI, USA
| | - Myra H Wyckoff
- Department of Pediatrics, UT Southwestern Medical Center at Dallas, Dallas, TX, USA
| | | | - Edward F Bell
- Department of Pediatrics, University of Iowa, Iowa City, IA, USA
| | - Krisa P Van Meurs
- Division of Neonatal and Developmental Medicine, Stanford University School of Medicine, Palo Alto, CA, USA
| | - David K Stevenson
- Department of Pediatrics/Neonatology, Stanford University, Palo Alto, CA, USA
| | - Erika F Werner
- Department of Obstetrics and Gynecology, Women and Infants Hospital, Alpert Medical School of Brown University, Providence, RI, USA
| | | | - Abhik Das
- Social, Statistical, and Environmental Sciences Unit, RTI International, Rockville, MD, USA
| | - Seetha Shankaran
- Department of Pediatrics, Wayne State University, Detroit, MI, USA
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Ratnasiri AWG, Lee HC, Lakshminrusimha S, Parry SS, Arief VN, DeLacy IH, Yang JS, DiLibero RJ, Logan J, Basford KE. Trends in maternal prepregnancy body mass index (BMI) and its association with birth and maternal outcomes in California, 2007-2016: A retrospective cohort study. PLoS One 2019; 14:e0222458. [PMID: 31536528 PMCID: PMC6752764 DOI: 10.1371/journal.pone.0222458] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Accepted: 08/29/2019] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVE To determine recent trends in maternal prepregnancy body mass index (BMI) and to quantify its association with birth and maternal outcomes. METHODS A population-based retrospective cohort study included resident women with singleton births in the California Birth Statistical Master Files (BSMF) database from 2007 to 2016. There were 4,621,082 women included out of 5,054,968 women registered in the database. 433,886 (8.6%) women were excluded due to invalid or missing information for BMI. Exposures were underweight (BMI < 18.5 kg/m2), normal weight (18.5-24.9 kg/m2), overweight (25.0-29.9 kg/m2), and obese (≥ 30 kg/m2) at the onset of pregnancy. Obesity was subcategorized into class I (30.0-34.9 kg/m2), class II (35.0-39.9 kg/m2), and class III (≥ 40 kg/m2), while adverse outcomes examined were low birth weight (LBW), very low birth weight (VLBW), macrosomic births, preterm birth (PTB), very preterm birth (VPTB), small-for-gestational-age birth (SGA), large-for-gestational-age birth (LGA), and cesarean delivery (CD). Descriptive analysis, simple linear regression, and multivariate logistic regression were performed, and adjusted odds ratios (AORs) with 95% confidence intervals (CIs) for associations were estimated. RESULTS Over the ten-year study period, the prevalence of underweight and normal weight women at time of birth declined by 10.6% and 9.7%, respectively, while the prevalence of overweight and obese increased by 4.3% and 22.9%, respectively. VLBW increased significantly with increasing BMI, by 24% in overweight women and by 76% in women with class III obesity from 2007 to 2016. Women with class III obesity also had a significant increase in macrosomic birth (170%) and were more likely to deliver PTB (33%), VPTB (66%), LGA (231%), and CD (208%) than women with a normal BMI. However, obese women were less likely to have SGA infants; underweight women were 51% more likely to have SGA infants than women with a normal BMI. CONCLUSIONS In California from 2007 to 2016, there was a declining trend in women with prepregnancy normal weight, and a rising trend in overweight and obese women, particularly obesity class III. Both extremes of prepregnancy BMI were associated with an increased incidence of adverse neonatal outcomes; however, the worse outcomes were prominent in those women classified as obese.
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Affiliation(s)
- Anura W. G. Ratnasiri
- Benefits Division, California Department of Health Care Services, Sacramento, California, United States of America
- School of Agriculture and Food Sciences, Faculty of Science, The University of Queensland, Brisbane, Queensland, Australia
- * E-mail:
| | - Henry C. Lee
- Division of Neonatology, School of Medicine, Stanford University, Stanford, California, United States of America
| | - Satyan Lakshminrusimha
- Department of Pediatrics, School of Medicine, University of California Davis, Sacramento, California, United States of America
| | - Steven S. Parry
- Benefits Division, California Department of Health Care Services, Sacramento, California, United States of America
| | - Vivi N. Arief
- School of Agriculture and Food Sciences, Faculty of Science, The University of Queensland, Brisbane, Queensland, Australia
| | - Ian H. DeLacy
- School of Agriculture and Food Sciences, Faculty of Science, The University of Queensland, Brisbane, Queensland, Australia
| | - Jo-Shing Yang
- Anesthesia Room ML, University of California San Francisco, San Francisco, California, United States of America
| | - Ralph J. DiLibero
- Benefits Division, California Department of Health Care Services, Sacramento, California, United States of America
| | - Julia Logan
- Health Plan Administration Division, California Public Employees' Retirement System, Sacramento, California, United States of America
| | - Kaye E. Basford
- School of Agriculture and Food Sciences, Faculty of Science, The University of Queensland, Brisbane, Queensland, Australia
- School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
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Baek KS, Jin BK, Jeon JH, Heo JS. The Effect of Maternal Pre-pregnancy Body Mass Index on Very Low Birth Weight Infants. NEONATAL MEDICINE 2018. [DOI: 10.5385/nm.2018.25.3.118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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