The role of the brain-sparing effect of growth-restricted fetuses in newborn germinal matrix/intraventricular hemorrhage

Kirlangic, Mehmet Mete; Şahin, Erdem; Madendağ, Yusuf; Yalman, Merve Vural; Akdemir, Esra; Şahin, Mefküre Eraslan; Madendağ, İlknur Çöl; Açmaz, Gökhan

doi:10.1515/jpm-2021-0142

Cited by 3 publications

(3 citation statements)

References 20 publications

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“…IVH usually starts in the germinal matrix, which is a collection of blood vessels rich in glial precursor cells in the developing brain. Although the cause of neonatal brain injury is multifactorial, cerebral blood flow (CBF) [ 33 ] and cerebral autoregulation disorder [ 34 ] play an important role. Numerous prenatal, perinatal, and postpartum factors have been confirmed as separate risk factors for neonatal IVH.…”

Section: Discussionmentioning

confidence: 99%

Establishment and evaluation of nomogram for predicting intraventricular hemorrhage in neonatal acute respiratory distress syndrome

Arkin

Wang

2023

BMC Pediatr

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Background Intraventricular hemorrhage (IVH) is the most common type of brain injury in newborns, especially in newborns with Neonatal acute respiratory distress syndrome (ARDS). IVH can cause brain parenchyma damage and long-term neurological sequelae in children. Early identification and prevention of sequelae are essential. This study aims to establish a predictive nomogram for the early prediction of IVH in newborns with ARDS. Methods From 2019 to 2021, we collected data from 222 infants diagnosed with ARDS in the Department of Neonatology, First Affiliated Hospital of Xinjiang Medical University. Infants have been randomly assigned to the training set (n = 161) or the validation set (n = 61) at a ratio of 7:3. Variables were screened using the Least Absolute Contract and Selection Operator (LASSO) regression to create a risk model for IVH in infants with ARDS. The variables chosen in the LASSO regression model were used to establish the prediction model using multivariate logistic regression analysis. Results We recognized 4 variables as independent risk factors for IVH in newborns with ARDS via LASSO analysis, consisting of premature rupture of membranes (PROM), pulmonary surfactant (PS) dosage, PH1 and Arterial partial pressure of oxygen (PaO21). The C-Index for this dataset is 0.868 (95% CI: 0.837–0.940) and the C index in bootstrap verification is 0.852 respectively. The analysis of the decision curve shows that the model can significantly improve clinical efficiency in predicting IVH. We also provide a website based on the model and open it to users for free, so that the model can be better applied to clinical practice. Conclusion In conclusion, the nomogram based on 4 factors shows good identification, calibration and clinical practicability. Our nomographs can help clinicians make clinical decisions, screen high-risk ARDS newborns, and facilitate early identification and management of IVH patients.

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Section: Discussionmentioning

confidence: 99%

Establishment and evaluation of nomogram for predicting intraventricular hemorrhage in neonatal acute respiratory distress syndrome

Arkin

Wang

2023

BMC Pediatr

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“…IVH usually starts in the germinal matrix, which is a collection of blood vessels rich in glial precursor cells in the developing brain. Although the cause of neonatal brain injury is multifactorial, cerebral blood ow (CBF) [31] and cerebral autoregulation disorder [32] play an important role. Numerous prenatal, perinatal, and postpartum factors have been con rmed as separate risk factors for neonatal IVH.…”

Section: Discussionmentioning

confidence: 99%

Establishment and evaluation of nomogram for predicting intraventricular hemorrhage in neonatal acute respiratory distress syndrome

Arkin

Wang

2022

Preprint

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Background: Intraventricular hemorrhage（IVH）is the most common type of brain injury in newborns, especially in newborns with ARDS. IVH can cause brain parenchyma damage and long-term neurological sequelae in children. Early identification and prevention of sequelae are essential. This study aims to establish a predictive nomogram for the early prediction of IVH in newborns with ARDS. Methods: From 2019 to 2021, we collected data from 222 infants diagnosed with ARDS in the Department of Neonatology, First Affiliated Hospital of Xinjiang Medical University. Infants have been randomly assigned to the training set (n=161) or the validation set(n=61) at a ratio of 7:3. Variables were screened using the Least Absolute Contract and Selection Operator (LASSO) regression to create a risk model for IVH in infants with ARDS. The variables chosen in the LASSO regression model were used to establish the prediction model using multivariate logistic regression analysis. Results: We recognized 4 variables as independent risk factors for IVH in newborns with ARDS via LASSO analysis, consisting of premature rupture of membranes (PROM), pulmonary surfactant (PS) dosage, PH1 and O21. The C-Index for this dataset is 0.868 (95% CI: 0.837-0.940) and the C index in bootstrap verification is 0.852 respectively. The analysis of the decision curve shows that the model can significantly improve clinical efficiency in predicting IVH. We also provide a website based on the model and open it to users for free, so that the model can be better applied to clinical practice. Conclusions: In conclusion, the nomogram based on 4 factors shows good identification, calibration and clinical practicability. Our nomographs can help clinicians make clinical decisions, screen high-risk ARDS newborns, and facilitate early identification and management of IVH patients.

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“…We utilized ultrasonography to assess singleton pregnancy with FGR between 37-40 weeks of gestation and considered the patients' last menstrual periods (LMD). Besides, we adopted the Delphi consensus criteria for the diagnosis of FGR [11,12].…”

Section: Research Design and Samplementioning

confidence: 99%

Evaluation of umbilical cord blood hematological parameters in pregnant women with fetal growth restriction

DEMİR

ÇAM

et al. 2023

The European Research Journal

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Objectives: The present study attempted to evaluate the relationship between fetal growth restriction (FGR) and the platelet-to-lymphocyte ratio (PLR) and neutrophil-to-lymphocyte ratio (NLR) in singleton term pregnancy. Methods: We carried out this prospective, case-control study at a Training and Research Hospital in Türkiye between May 2021 and January 2023. We utilized ultrasonography to assess singleton pregnancy with FGR between 37-40 weeks of gestation and considered the patients’ last menstrual periods (LMD). Results: We recruited 250 pregnant women in the study and divided them into the FGR (n = 125) and healthy control (n = 125) groups. Our findings revealed no significant difference between the groups by age, body mass index (BMI), stillbirth history, abortion, tobacco use, and regular pregnancy monitoring (p > 0.05). Fetal birth weights and hospitalization in the neonatal intensive care unit (NICU) were also similar between the groups. Yet, 1- and 5-minute APGAR scores were significantly lower in the FGR group than in the control group. In addition, compared to the healthy subjects, the FGR group had significantly increased white blood cell, lymphocyte, neutrophil, platelet counts and NLR and PLR values, but mean platelet volume (MPV) remained similar. Conclusions: In a nutshell, our findings suggested that two noteworthy inflammatory markers, NLR and PLR, are likely to elevate in the presence of FGR.

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The role of the brain-sparing effect of growth-restricted fetuses in newborn germinal matrix/intraventricular hemorrhage

Cited by 3 publications

References 20 publications

Establishment and evaluation of nomogram for predicting intraventricular hemorrhage in neonatal acute respiratory distress syndrome

Establishment and evaluation of nomogram for predicting intraventricular hemorrhage in neonatal acute respiratory distress syndrome

Establishment and evaluation of nomogram for predicting intraventricular hemorrhage in neonatal acute respiratory distress syndrome

Evaluation of umbilical cord blood hematological parameters in pregnant women with fetal growth restriction

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