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1.
BMC Pediatr ; 22(1): 519, 2022 09 01.
Article in English | MEDLINE | ID: mdl-36050673

ABSTRACT

BACKGROUND: Preterm newborn nutrition affects postnatal skeletal growth and bone mineralization, but studies have not yet fully concluded the relationship between nutrition and osteopenia. This study was intended to investigate the impact of nutritional factors on osteopenia in preterm newborns. METHODS: This is a case-control study with babies born with gestational age ≤ 32 weeks in a high-risk maternity hospital, between 2018 and 2019. The population consisted of 115 newborns, being 46 cases (40%) and 69 controls (60%). Disease outcome was based on serum alkaline phosphatase levels > 900UL/l and hypophosphatemia < 4 mg/dl. Gestational data at birth and clinical and nutritional follow-up data during 8 weeks postnatally were assessed. Variables were assessed using regressive logistic models. FINDINGS: Preterm infants who were fed pasteurized fresh human milk with acidity ≥ 4 ºDornic are 5.36 times more likely to develop osteopenia (p = 0.035). Higher calcium intake, compared to controls, also increased the probability of disease occurrence [OR 1.05 (CI 1.006-1.1); p = 0.025], while the presence of a partner [OR 0.10 (CI 0.02-0.59); p = 0.038] and the shortest time using sedatives [OR 0.89 (CI 0.83-0.98); p = 0.010] were protective factors associated with osteopenia. Extremely low birth weight [OR 5.49 (CI 1.20-25.1); p = 0.028], sepsis [OR 5.71 (CI 1.35-24.2); p = 0.018] and invasive ventilatory support [OR 1.09 (CI 1.03-1.18); p = 0.007] were risk factors. CONCLUSIONS: Acidity and high calcium intake are the main nutritional factors associated with osteopenia of prematurity. Further studies on the use of human milk with lower acidity, recommendation and nutritional supplementation of calcium should be accomplished to guide prevention strategies in newborns at risk for osteopenia during hospital stay.


Subject(s)
Bone Diseases, Metabolic , Infant, Premature, Diseases , Bone Diseases, Metabolic/epidemiology , Bone Diseases, Metabolic/etiology , Calcium , Case-Control Studies , Female , Humans , Infant , Infant, Newborn , Infant, Premature , Infant, Premature, Diseases/epidemiology , Infant, Premature, Diseases/etiology , Pregnancy
2.
Rev. Bras. Saúde Mater. Infant. (Online) ; 22(1): 79-86, Jan.-Mar. 2022. tab, graf
Article in English | LILACS | ID: biblio-1376213

ABSTRACT

Abstract Objectives: to compare the intrauterine and postnatal growth of preterm infants according to the Intergrowth-21st and Fenton curves. Methods: study carried out in a maternity hospital, reference in high-risk pregnancy, with preterm infants born in 2018 who were hospitalized in the neonatal units of the institution. Preterm newborns weighed at least twice after birth were included in the sample and those that were syndromic, malformed or presented fluid retention were excluded. Proportions and means were compared using Pearson's chi-square and Student's t tests for paired samples, respectively. The McNemar test was used to compare categorical variables and the Kappa test to verify the degree of agreement between birth weight classifications obtained by the curves. Results: one hundred and fifty three infants with a median gestational age of 34.4 weeks were included. The incidences of the categories of nutritional status at birth did not differ between the curves. There was perfect agreement between the curves, except when newborns born under 33 weeks of gestational age were evaluated, in which case the agreement was substantial. About 21% of the babies classified as small for gestational age (SGA) by Intergrowth-21st were adequate for gestational age (AGA) according to Fenton and, on average, 20% of cases that had postnatal growth restriction (PNGR) according to Fenton standards were categorized as adequate weight by Intergrowth-21st. Postnatal weight classifications obtained by the evaluated curves had perfect agreement. Conclusions: the differences in theclassifications found between the charts reveal the importance of choosing the growth curve for monitoring preterm infants since behaviors based on their diagnoses can impact the life of this population.


Resumo Objetivos: comparar o crescimento intrauterino e pós-natal de prematuros segundo as curvas de Intergrowth-21st e Fenton. Métodos: estudo realizado em uma maternidade de referência em gestação de alto risco com prematuros nascidos em 2018 que ficaram internados nas unidades neonatais da instituição. Foram incluídos os pré-termos pesados em pelo menos dois momentos após o nascimento e excluídos aqueles sindrômicos, malformados ou com retenção hídrica. As proporções e médias foram comparadas a partir dos testes qui-quadrado de Pearson e t de student para amostras emparelhadas, respectivamente. Já o teste de McNemar foi utilizado para comparar as variáveis categóricas e teste Kappa para verificar o grau de concordância entre as classificações de peso ao nascer obtidos pelas curvas. Resultados: foram incluídos 153 lactentes com idade gestacional mediana de 34,4 semanas. As incidências das categorias de estado nutricional ao nascer não diferiram entre as curvas. Houve concordância perfeita entre as mesmas, exceto quando se avaliou os nascidos com menos de 33 semanas, onde a concordância foi substancial. Cerca de 21% dos bebês classificados como pequenos para a idade gestacional (PIG) por Intergrowth-21st foram adequados para idade gestacional (AIG) segundo Fenton e, em média, 20% dos casos que tiveram restrição de crescimento pós-natal (RCPN) de acordo aos padrões de Fenton foram categorizados com peso adequado por Intergrowth-21st. As classificações de peso pós-natal obtidas pelas curvas avaliadas tiveram concordância perfeita. Conclusões: as diferenças de classificação encontradas revelam a importância da escolha da curva de crescimento para monitorização de prematuros visto que, condutas baseadas em seus diagnósticos, podem impactar na vida dessa população.


Subject(s)
Humans , Infant, Newborn , Postnatal Care , Birth Weight , Infant, Premature/growth & development , Nutritional Status , Neonatal Screening , Growth Charts , Fetal Growth Retardation , Tertiary Healthcare , Brazil , Intensive Care Units, Neonatal , Chi-Square Distribution , Gestational Age , Pregnancy, High-Risk , Observational Study
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