Weight Growth Velocity and Neurodevelopmental Outcomes in Extremely Low Birth Weight Infants
This study aimed to assess whether weight growth velocity (WGV) predicts neurodevelopmental outcomes in extremely low birth weight infants (ELBWIs). Subjects were infants who weighed 501-1000 g at birth and were included in the cohort of the Neonatal Research Network of Japan (2003-2007). Patel'...
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| Published in | PloS one Vol. 10; no. 9; p. e0139014 |
|---|---|
| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
Public Library of Science
24.09.2015
Public Library of Science (PLoS) |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1932-6203 1932-6203 |
| DOI | 10.1371/journal.pone.0139014 |
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| Abstract | This study aimed to assess whether weight growth velocity (WGV) predicts neurodevelopmental outcomes in extremely low birth weight infants (ELBWIs).
Subjects were infants who weighed 501-1000 g at birth and were included in the cohort of the Neonatal Research Network of Japan (2003-2007). Patel's exponential model (EM) method was used to calculate WGV between birth and discharge. Assessment of predictions of death or neurodevelopmental impairment (NDI) was performed at 3 years of age based on the WGV score, which was categorized by per one increase in WGV. Multivariate logistic regression analysis was used to calculate adjusted odds ratios and their 95% confidence intervals (95%CI).
In the 2961 ELBWIs assessed, the median WGV was 10.5 g/kg/day (interquartile, 9.4-11.9). With the categorical approach, the adjusted odds ratios for death or NDI with WGV scores of 6 and 7 were 2.41 (95%CI, 1.60-3.62) and 1.81 (95%CI, 1.18-2.75), respectively, relative to the reference WGV score of 10. WGV scores ≥8 did not predict death or NDI.
WGV scores <8 were significant predictors suggesting that values of WGV during hospitalization in a NICU are associated with neurodevelopmental outcomes. Further investigations is necessary to determine whether additional nutritional support may improve low WGV in ELBWIs. |
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| AbstractList | This study aimed to assess whether weight growth velocity (WGV) predicts neurodevelopmental outcomes in extremely low birth weight infants (ELBWIs).Subjects were infants who weighed 501-1000 g at birth and were included in the cohort of the Neonatal Research Network of Japan (2003-2007). Patel's exponential model (EM) method was used to calculate WGV between birth and discharge. Assessment of predictions of death or neurodevelopmental impairment (NDI) was performed at 3 years of age based on the WGV score, which was categorized by per one increase in WGV. Multivariate logistic regression analysis was used to calculate adjusted odds ratios and their 95% confidence intervals (95%CI).In the 2961 ELBWIs assessed, the median WGV was 10.5 g/kg/day (interquartile, 9.4-11.9). With the categorical approach, the adjusted odds ratios for death or NDI with WGV scores of 6 and 7 were 2.41 (95%CI, 1.60-3.62) and 1.81 (95%CI, 1.18-2.75), respectively, relative to the reference WGV score of 10. WGV scores ≥8 did not predict death or NDI.WGV scores <8 were significant predictors suggesting that values of WGV during hospitalization in a NICU are associated with neurodevelopmental outcomes. Further investigations is necessary to determine whether additional nutritional support may improve low WGV in ELBWIs. This study aimed to assess whether weight growth velocity (WGV) predicts neurodevelopmental outcomes in extremely low birth weight infants (ELBWIs). Subjects were infants who weighed 501-1000 g at birth and were included in the cohort of the Neonatal Research Network of Japan (2003-2007). Patel's exponential model (EM) method was used to calculate WGV between birth and discharge. Assessment of predictions of death or neurodevelopmental impairment (NDI) was performed at 3 years of age based on the WGV score, which was categorized by per one increase in WGV. Multivariate logistic regression analysis was used to calculate adjusted odds ratios and their 95% confidence intervals (95%CI). In the 2961 ELBWIs assessed, the median WGV was 10.5 g/kg/day (interquartile, 9.4-11.9). With the categorical approach, the adjusted odds ratios for death or NDI with WGV scores of 6 and 7 were 2.41 (95%CI, 1.60-3.62) and 1.81 (95%CI, 1.18-2.75), respectively, relative to the reference WGV score of 10. WGV scores ≥8 did not predict death or NDI. WGV scores <8 were significant predictors suggesting that values of WGV during hospitalization in a NICU are associated with neurodevelopmental outcomes. Further investigations is necessary to determine whether additional nutritional support may improve low WGV in ELBWIs. This study aimed to assess whether weight growth velocity (WGV) predicts neurodevelopmental outcomes in extremely low birth weight infants (ELBWIs). Subjects were infants who weighed 501--1000 g at birth and were included in the cohort of the Neonatal Research Network of Japan (2003--2007). Patel's exponential model (EM) method was used to calculate WGV between birth and discharge. Assessment of predictions of death or neurodevelopmental impairment (NDI) was performed at 3 years of age based on the WGV score, which was categorized by per one increase in WGV. Multivariate logistic regression analysis was used to calculate adjusted odds ratios and their 95% confidence intervals (95%CI). In the 2961 ELBWIs assessed, the median WGV was 10.5 g/kg/day (interquartile, 9.4--11.9). With the categorical approach, the adjusted odds ratios for death or NDI with WGV scores of 6 and 7 were 2.41 (95%CI, 1.60--3.62) and 1.81 (95%CI, 1.18--2.75), respectively, relative to the reference WGV score of 10. WGV scores [greater than or equal to]8 did not predict death or NDI. WGV scores <8 were significant predictors suggesting that values of WGV during hospitalization in a NICU are associated with neurodevelopmental outcomes. Further investigations is necessary to determine whether additional nutritional support may improve low WGV in ELBWIs. Introduction This study aimed to assess whether weight growth velocity (WGV) predicts neurodevelopmental outcomes in extremely low birth weight infants (ELBWIs). Methods Subjects were infants who weighed 501–1000 g at birth and were included in the cohort of the Neonatal Research Network of Japan (2003–2007). Patel’s exponential model (EM) method was used to calculate WGV between birth and discharge. Assessment of predictions of death or neurodevelopmental impairment (NDI) was performed at 3 years of age based on the WGV score, which was categorized by per one increase in WGV. Multivariate logistic regression analysis was used to calculate adjusted odds ratios and their 95% confidence intervals (95%CI). Results In the 2961 ELBWIs assessed, the median WGV was 10.5 g/kg/day (interquartile, 9.4–11.9). With the categorical approach, the adjusted odds ratios for death or NDI with WGV scores of 6 and 7 were 2.41 (95%CI, 1.60–3.62) and 1.81 (95%CI, 1.18–2.75), respectively, relative to the reference WGV score of 10. WGV scores ≥8 did not predict death or NDI. Conclusions WGV scores <8 were significant predictors suggesting that values of WGV during hospitalization in a NICU are associated with neurodevelopmental outcomes. Further investigations is necessary to determine whether additional nutritional support may improve low WGV in ELBWIs. This study aimed to assess whether weight growth velocity (WGV) predicts neurodevelopmental outcomes in extremely low birth weight infants (ELBWIs).INTRODUCTIONThis study aimed to assess whether weight growth velocity (WGV) predicts neurodevelopmental outcomes in extremely low birth weight infants (ELBWIs).Subjects were infants who weighed 501-1000 g at birth and were included in the cohort of the Neonatal Research Network of Japan (2003-2007). Patel's exponential model (EM) method was used to calculate WGV between birth and discharge. Assessment of predictions of death or neurodevelopmental impairment (NDI) was performed at 3 years of age based on the WGV score, which was categorized by per one increase in WGV. Multivariate logistic regression analysis was used to calculate adjusted odds ratios and their 95% confidence intervals (95%CI).METHODSSubjects were infants who weighed 501-1000 g at birth and were included in the cohort of the Neonatal Research Network of Japan (2003-2007). Patel's exponential model (EM) method was used to calculate WGV between birth and discharge. Assessment of predictions of death or neurodevelopmental impairment (NDI) was performed at 3 years of age based on the WGV score, which was categorized by per one increase in WGV. Multivariate logistic regression analysis was used to calculate adjusted odds ratios and their 95% confidence intervals (95%CI).In the 2961 ELBWIs assessed, the median WGV was 10.5 g/kg/day (interquartile, 9.4-11.9). With the categorical approach, the adjusted odds ratios for death or NDI with WGV scores of 6 and 7 were 2.41 (95%CI, 1.60-3.62) and 1.81 (95%CI, 1.18-2.75), respectively, relative to the reference WGV score of 10. WGV scores ≥8 did not predict death or NDI.RESULTSIn the 2961 ELBWIs assessed, the median WGV was 10.5 g/kg/day (interquartile, 9.4-11.9). With the categorical approach, the adjusted odds ratios for death or NDI with WGV scores of 6 and 7 were 2.41 (95%CI, 1.60-3.62) and 1.81 (95%CI, 1.18-2.75), respectively, relative to the reference WGV score of 10. WGV scores ≥8 did not predict death or NDI.WGV scores <8 were significant predictors suggesting that values of WGV during hospitalization in a NICU are associated with neurodevelopmental outcomes. Further investigations is necessary to determine whether additional nutritional support may improve low WGV in ELBWIs.CONCLUSIONSWGV scores <8 were significant predictors suggesting that values of WGV during hospitalization in a NICU are associated with neurodevelopmental outcomes. Further investigations is necessary to determine whether additional nutritional support may improve low WGV in ELBWIs. Introduction This study aimed to assess whether weight growth velocity (WGV) predicts neurodevelopmental outcomes in extremely low birth weight infants (ELBWIs). Methods Subjects were infants who weighed 501--1000 g at birth and were included in the cohort of the Neonatal Research Network of Japan (2003--2007). Patel's exponential model (EM) method was used to calculate WGV between birth and discharge. Assessment of predictions of death or neurodevelopmental impairment (NDI) was performed at 3 years of age based on the WGV score, which was categorized by per one increase in WGV. Multivariate logistic regression analysis was used to calculate adjusted odds ratios and their 95% confidence intervals (95%CI). Results In the 2961 ELBWIs assessed, the median WGV was 10.5 g/kg/day (interquartile, 9.4--11.9). With the categorical approach, the adjusted odds ratios for death or NDI with WGV scores of 6 and 7 were 2.41 (95%CI, 1.60--3.62) and 1.81 (95%CI, 1.18--2.75), respectively, relative to the reference WGV score of 10. WGV scores [greater than or equal to]8 did not predict death or NDI. Conclusions WGV scores <8 were significant predictors suggesting that values of WGV during hospitalization in a NICU are associated with neurodevelopmental outcomes. Further investigations is necessary to determine whether additional nutritional support may improve low WGV in ELBWIs. Introduction This study aimed to assess whether weight growth velocity (WGV) predicts neurodevelopmental outcomes in extremely low birth weight infants (ELBWIs). Methods Subjects were infants who weighed 501–1000 g at birth and were included in the cohort of the Neonatal Research Network of Japan (2003–2007). Patel’s exponential model (EM) method was used to calculate WGV between birth and discharge. Assessment of predictions of death or neurodevelopmental impairment (NDI) was performed at 3 years of age based on the WGV score, which was categorized by per one increase in WGV. Multivariate logistic regression analysis was used to calculate adjusted odds ratios and their 95% confidence intervals (95%CI). Results In the 2961 ELBWIs assessed, the median WGV was 10.5 g/kg/day (interquartile, 9.4–11.9). With the categorical approach, the adjusted odds ratios for death or NDI with WGV scores of 6 and 7 were 2.41 (95%CI, 1.60–3.62) and 1.81 (95%CI, 1.18–2.75), respectively, relative to the reference WGV score of 10. WGV scores ≥8 did not predict death or NDI. Conclusions WGV scores <8 were significant predictors suggesting that values of WGV during hospitalization in a NICU are associated with neurodevelopmental outcomes. Further investigations is necessary to determine whether additional nutritional support may improve low WGV in ELBWIs. |
| Audience | Academic |
| Author | Kusuda, Satoshi Fujimura, Masanori Maruyama, Hidehiko Yonemoto, Naohiro Kono, Yumi |
| AuthorAffiliation | Hôpital Robert Debré, FRANCE 4 Department of Neonatology, Maternal and Perinatal Center, Tokyo Women's Medical University, Tokyo, Japan 1 Department of Pediatrics, Kochi Health Sciences Center, Kochi, Kochi, Japan 5 Department of Neonatology, Osaka Medical Center and Research Institute for Maternal and Child Health, Izumi, Osaka, Japan 2 Department of Neuropsychopharmacology, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan 3 Department of Pediatrics, Jichi Medical University, Shimotsuke, Tochigi, Japan |
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| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/26402326$$D View this record in MEDLINE/PubMed |
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| Copyright | COPYRIGHT 2015 Public Library of Science 2015 Maruyama et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2015 Maruyama et al 2015 Maruyama et al |
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| DOI | 10.1371/journal.pone.0139014 |
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| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Membership of the Neonatal Research Network of Japan is listed in the Acknowledgments. Conceived and designed the experiments: HM. Performed the experiments: HM NY. Analyzed the data: HM NY. Contributed reagents/materials/analysis tools: NY. Wrote the paper: HM NY YK SK MF. Organized this study: MF YK SK. Competing Interests: The authors have declared that no competing interests exist. |
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| Snippet | This study aimed to assess whether weight growth velocity (WGV) predicts neurodevelopmental outcomes in extremely low birth weight infants (ELBWIs).
Subjects... Introduction This study aimed to assess whether weight growth velocity (WGV) predicts neurodevelopmental outcomes in extremely low birth weight infants... This study aimed to assess whether weight growth velocity (WGV) predicts neurodevelopmental outcomes in extremely low birth weight infants (ELBWIs). Subjects... This study aimed to assess whether weight growth velocity (WGV) predicts neurodevelopmental outcomes in extremely low birth weight infants... This study aimed to assess whether weight growth velocity (WGV) predicts neurodevelopmental outcomes in extremely low birth weight infants (ELBWIs).Subjects... Introduction This study aimed to assess whether weight growth velocity (WGV) predicts neurodevelopmental outcomes in extremely low birth weight infants... |
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| SubjectTerms | Age Birth weight Body Weight Child Development Childbirth & labor Complications and side effects Confidence Intervals Death Developmental neurology Humans Infant, Extremely Low Birth Weight - growth & development Infant, Newborn Infants Inspection Logistic Models Low birth weight Lung diseases Maternal & child health Methods Mortality Neonates Nervous System - growth & development Neurodevelopmental disorders Newborn babies Nondestructive testing Odds Ratio Pediatrics Physiological aspects Pregnancy Regression analysis Respiratory distress syndrome Statistical analysis Velocity Weight gain |
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| Title | Weight Growth Velocity and Neurodevelopmental Outcomes in Extremely Low Birth Weight Infants |
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