Cohort Profile: Longitudinal study of preterm infants in the Pays de la Loire region of France (LIFT cohort)

Hanf, Matthieu; Nusinovici, Simon; Rouger, Valérie; Marion, Olivier; Berlie, Isabelle; Flamant, Cyrille; Gascoin, Géraldine; Bogaert, Patrick Van; Rozé, Jean‐Christophe

doi:10.1093/ije/dyx110

Cited by 17 publications

(14 citation statements)

References 38 publications

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“…This study included all preterm infants admitted to the Neonatal Intensive Care Unit of Nantes University Hospital between January 2003 and December 2012, with a gestational age < 35 weeks, and enrolled in the “Loire Infant Follow-Up Team” (LIFT) network, in Western France [10]. We excluded infants with missing data on length growth.…”

Section: Methodsmentioning

confidence: 99%

In Preterm Infants, Length Growth below Expected Growth during Hospital Stay Predicts Poor Neurodevelopment at 2 Years

et al. 2018

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Background: In preterm infants, neonatal weight growth is associated with neurodevelopmental outcome but is a poor indicator of growth quality. Objective: The aim of this work was to measure the relationship between neonatal length growth and the 2-year neurological outcome in preterm infants. Methods: A total of 2,403 infants enrolled in the LIFT cohort with gestational age less than 34 weeks were studied. Neonatal observed length growth (OLG) was calculated as the change in length Z-score between birth and discharge. Expected length growth (ELG) was estimated based on gestational age, birth weight Z-score, birth length Z-score, gender, and observed neonatal weight growth. The difference between OLG and ELG (∆_OLG-ELG) was calculated as OLG – ELG, and infants were ranked into 3 classes depending on their ∆_OLG-ELG (≤–0.5, –0.49 to 0.49, ≥0.50 Z-score). We explored the relationship between ∆_OLG-ELG and 2-year neurodevelopmental outcome (n = 2,036), and, in a subgroup (n = 85), between ∆_OLG-ELG and body composition at discharge. Results: ELG was strongly predicted from the above-mentioned parameters (R² = 0.73, p = 0.001). OLG correlated closely with gestational age (p = 0.001) but ∆_OLG-ELG did not (p = 1.0). OLG was not associated with a 2-year nonoptimal outcome after adjustment for gestational age, but ∆_OLG-ELG ≤–0.5 was; the crude and adjusted odds ratios were 1.63 and 1.56, respectively. ∆_OLG-ELG correlated negatively with fat mass (R² = 0.29, p = 0.006) before and after adjustment for gestational age. Conclusion: ∆_OLG-ELG is a marker of neonatal growth that does not depend on gestational age, and may reflect quality of growth. A ∆_OLG-ELG ≤–0.5 Z-score is associated with a higher risk for 2-year nonoptimal neurodevelopmental outcome.

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Section: Methodsmentioning

confidence: 99%

In Preterm Infants, Length Growth below Expected Growth during Hospital Stay Predicts Poor Neurodevelopment at 2 Years

et al. 2018

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“…The study population was composed of preterm infants enrolled in the Loire Infant Follow-up Team (LIFT) cohort, born at <33 weeks of gestation between January 2003 and December 2015. The LIFT network encompasses 24 maternity clinics including 5 neonatal intermediate or intensive care units in the Pays-de-la-Loire region [14]. The children’s parents provided written informed consent before inclusion in the LIFT cohort.…”

Section: Methodsmentioning

confidence: 99%

Neonatal growth velocity of preterm infants: The weight Z-score change versus Patel exponential model

et al. 2019

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Background Different methods are used to assess the growth of preterm infants during neonatal hospital stay. The primary objective was to compare two methods for assessing growth velocity: g/kg/d according to the Patel exponential model (EM) and change in weight z-score (ZS) according to Fenton curves. The secondary objective was to highlight factors influencing the level of agreement between the two methods. Methods Preterm infants born before 33 weeks were included. Growth velocity was computed by EM and ZS methods and linear regression was used to predict what growth velocity by EM method would be obtained using the ZS method. Differences between EM growth velocity and EM growth velocity predicted by ZS method were then used to assess the level of agreement between the two methods. A difference between -2 and +2 g/kg/day was considered as fair agreement, greater than ± 4 g/kg/day as poor agreement, and as disagreement otherwise. Results Among the 3954 children included, we observe a fair agreement in 2471 children (62.5%), a poor agreement in 1278 (32.3%) and a disagreement in 205 children (5.2%). Birth weight and gestational age explained 31% and 25%, respectively, of the variance in the difference between the two methods. Conclusions In more than a third of enrolled children, the two methods for measuring growth velocity disagreed substantially. As variation of weight Z-score takes into account infant gestational age and gender, it could be more suitable to analyze a population of preterm infants with a wide range of gestational age.

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“…Infants with missing data regarding pre-pregnancy maternal BMI were excluded, as were infants who exhibited genetic abnormalities or malformations. Clinical data (obstetrical and neonatal) were collected prospectively for all preterm infants enrolled in the Loire Infant Follow-up Team (LIFT) network [17]. The LIFT network is a prospective multicentric cohort of preterm infants born with a gestational age of 34 weeks or less.…”

Section: Methodsmentioning

confidence: 99%

“…The primary outcome was neurodevelopment at 2 years of corrected age. Infants were evaluated at two years +/- 2 months of corrected age with routine validated tests [17]. Assessments to define optimal and non-optimal neurodevelopmental outcomes included a physical examination by a LIFT-trained paediatrician specialised in the early detection of neurodevelopmental disorders, a psychomotor evaluation by a LIFT network psychologist, and a parent-completed questionnaire (Ages and Stages Questionnaire, ASQ).…”

Section: Methodsmentioning

confidence: 99%

Neonatal and neurodevelopmental outcomes in preterm infants according to maternal body mass index: A prospective cohort study

et al. 2019

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ObjectiveMaternal obesity is associated with an increase in maternal, foetal and neonatal morbidity and mortality. The aim of our study was to evaluate the relationships between maternal pre-pregnancy body mass index and (1) neonatal outcome in preterm infants, and (2) neurodevelopmental outcome at 2 years of corrected age.MethodWe conducted a single-centre cohort study. Infants born between 24+0 and 33+6 weeks of gestation between January 2009 and December 2013, hospitalised in the neonatal intensive care unit of Angers University Hospital, and with available data regarding maternal pre-pregnancy body mass index were eligible. Three groups were defined according to maternal body mass index: normal (n = 418), overweight (n = 136) and obese (n = 89). The primary outcome was neurodevelopment at 2 years of corrected age. Children with a non-optimal neuromotor and/or psychomotor assessment and/or a sensory disability were regarded as having a “non-optimal neurodevelopmental outcome”. Neuromotor function was regarded as non-optimal when cerebral palsy was present or when the clinical examination revealed neurological signs of abnormal muscular tone. Psychomotor assessment was regarded as non-optimal if the revised Brunet-Lézine test was < 85 or when the overall score in the parental Ages and Stages Questionnaire (ASQ) was < 185. Finally, sensory disabilities such as blindness and children who required a hearing aid were taken into account. The secondary outcome was the composite criteria of neonatal complications. Multivariable analysis included the following variables: mother’s age, gestational age, smoking during pregnancy, magnesium sulphate and steroid treatment during pregnancy, twin status, gender, socioeconomic status and social security benefits for those with low incomes.ResultsThe study population was composed of 643 preterm infants. Among them, 520 were assessed at 2 years. There was no difference in the proportion of infants with non-optimal neurodevelopmental outcomes between the three groups (16.6% for obese, 13.5% for overweight, 16.9% for normal body mass index mothers; p = 0.73). According to multivariable analysis, being born from an overweight or obese mother was not associated with an increased risk of non-optimal neuro-development at 2 years (adjusted OR = 0.84 [0.40–1.76] for obese, adjusted OR = 0.83 [0.43–1.59] for overweight mothers). There was no difference in the proportion of preterm infants with a non-optimal composite criterion of neonatal complications between the three groups. In the multivariable analysis, being born from an overweight or obese mother was not associated with an increased risk of non-optimal neonatal outcomes (adjusted OR = 0.95 [0.49–1.83] for obese, adjusted OR = 1.18 [0.69–2.01] for overweight mothers).ConclusionIn this large prospective cohort of preterm infants born before 34 weeks of gestation, we found no relationship between maternal body mass index and neurodevelopmental outcomes at 2 years of corrected age and no relationship between maternal body mass index an...

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Cohort Profile: Longitudinal study of preterm infants in the Pays de la Loire region of France (LIFT cohort)

Cited by 17 publications

References 38 publications

In Preterm Infants, Length Growth below Expected Growth during Hospital Stay Predicts Poor Neurodevelopment at 2 Years

In Preterm Infants, Length Growth below Expected Growth during Hospital Stay Predicts Poor Neurodevelopment at 2 Years

Neonatal growth velocity of preterm infants: The weight Z-score change versus Patel exponential model

Neonatal and neurodevelopmental outcomes in preterm infants according to maternal body mass index: A prospective cohort study

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