Abstract

BackgroundHypertensive disorders of pregnancy (HDP) generate complications and are one of the principal causes of maternal, foetal, and neonatal mortality worldwide. It has been observed that in pregnancies with HDP, the incidence of foetuses small for their gestational age (SGA) is twice as high as that in noncomplicated pregnancies. In women with HDP, the identification of foetuses (SGA) is substantially important, as management and follow-up are determined by this information.ObjectiveThe objective of this study was to evaluate whether the INTERGROWTH-21st method or customized birthweight references better identify newborns with an abnormal nutritional status resulting from HDP.MethodA comparative analysis study was designed with two diagnostic methods for the prediction of neonatal nutritional status in pregnancies with HDP. The performance of both methods in identifying neonatal malnutrition (defined by a neonatal body mass index < 10th centile or a ponderal index < 10th centile) was assessed by calculating sensitivity, specificity, positive predictive value, negative predictive value, diagnostic odds ratio, Youden’s index and probability ratios.ResultsThe study included 226 pregnant women diagnosed with HDP. The customized method identified 45 foetuses as small for gestational age (19.9%), while the INTERGROWTH-21st method identified 27 newborns with SGA (11.9%). The difference between proportions was statistically significant (p < 0.01). Using body mass index (< 10th centile) as a measure of nutritional status, newborns identified as SGA by the customized method showed a higher risk of malnutrition than those identified as SGA by INTERGROWTH-21st (RR: 4.87 (95% CI: 1.86–12.77) vs. 3.75 (95% CI: 1.49–9.43)) (DOR: 5.56 (95% CI: 1.82–16.98) vs. 4.84 (95% CI: 1.51–15.54)) Even when using Ponderal index (< 10th centile), newborns identified as SGA by the customized method showed a higher risk of malnutrition than those identified as SGA by INTERGROWTH-21st (RR 2.37 (95% CI: 1.11–5.05) vs. 1.68 (95% CI: 0.70–4.03))(DOR 2.62 (95% CI: 1.00–6.87) vs. 1.90 (95% CI: 0.61–5.92)).ConclusionIn pregnant women with HDP, the predictive ability of the customized foetal growth curves to identify neonatal malnutrition appears to surpass that of INTERGROWTH-21st.

Highlights

  • Hypertensive disorders of pregnancy (HDP), including gestational hypertension, chronic hypertension and preeclampsia, induce complications in approximately 10 to 16% of all pregnancies and are one of the principal causes of maternal, foetal, and neonatal mortality worldwide [1, 2]

  • Using body mass index (< 1­ 0th centile) as a measure of nutritional status, newborns identified as small for their gestational age (SGA) by the customized method showed a higher risk of malnutrition than those identified as SGA by INTERGROWTH-21st (RR: 4.87 vs. 3.75) (DOR: 5.56 vs. 4.84) Even when using Ponderal index (< 1­ 0th centile), newborns identified as SGA by the customized method showed a higher risk of malnutrition than those

  • Fernández‐Alba et al BMC Pregnancy and Childbirth (2022) 22:136 identified as SGA by INTERGROWTH-21st (RR 2.37 vs. 1.68)(DOR 2.62 vs. 1.90)

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Summary

Introduction

Hypertensive disorders of pregnancy (HDP), including gestational hypertension, chronic hypertension and preeclampsia (including superimposed preeclampsia), induce complications in approximately 10 to 16% of all pregnancies and are one of the principal causes of maternal, foetal, and neonatal mortality worldwide [1, 2]. In the context of HDP and secondary to placental involvement in the pathophysiology, there has been a reported and increased risk of small for gestational age (SGA) and foetal death [7, 8]. Hypertensive disorders of pregnancy (HDP) generate complications and are one of the principal causes of maternal, foetal, and neonatal mortality worldwide. It has been observed that in pregnancies with HDP, the incidence of foetuses small for their gestational age (SGA) is twice as high as that in noncomplicated pregnancies. In women with HDP, the identification of foetuses (SGA) is substantially important, as management and follow-up are determined by this information

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