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Kloosterboer S, Anolda Naber FB, Heyman H, Hoffmann-Haringsma A, Brunt TM. A Preliminary Study of Correlates of Premature Birth and Their Influence on Cortisol Levels in Young Children. Biol Res Nurs 2024; 26:240-247. [PMID: 37863478 PMCID: PMC10938487 DOI: 10.1177/10998004231209429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2023]
Abstract
OBJECTIVE The HPA-axis is programmed during early infancy, but a lot is unknown about the programming of the HPA-axis in prematurely born or small for gestational age (SGA) children. Therefore, the aim of this preliminary study was to investigate the influence of prematurity and variables associated with birth on cortisol levels in young children. METHODS Cortisol was measured in a cross-sectional design in 38 premature born participants (<37 weeks of gestation), aged between 3 - 9 years old. Correlates of prematurity (degree of prematurity and birth delivery route) were investigated in relationship with cortisol levels with regression analysis. RESULTS Corrected for sex, delivery by C-section was associated with lower cortisol levels in the children (ß = -.42, p = .028), with an explained variance of 34%. CONCLUSION Birth delivery route by C-section is associated with lowered (or flattened) cortisol levels in children born prematurely. This is clinically relevant and might have important implications, because an HPA-axis disturbance might lead to developmental problems later on in life. However, future research is necessary to investigate the underlying indications for performing a C-section, which will help to understand factors that influence the HPA-axis development in children born prematurely.
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Affiliation(s)
- Sophia Kloosterboer
- Department of Pediatrics, Erasmus University Medical Center, Rotterdam, Netherlands
| | | | | | - Angelique Hoffmann-Haringsma
- Het Kleine Heldenhuis, Rotterdam, Netherlands
- Department of Neonatology, St Fransiscus Hospital, Rotterdam, Netherlands
| | - Tibor Markus Brunt
- Het Kleine Heldenhuis, Rotterdam, Netherlands
- Department of Psychiatry, Amsterdam University Medical Center, Amsterdam, Netherlands
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Bouwmeester D, Anolda Naber FB, Heyman H, Hoffmann-Haringsma A, Lens A, Brunt TM. Follow-up care and support to parents of premature children: Multidisciplinary versus regular follow-up care. Child Care Health Dev 2024; 50:e13185. [PMID: 37842882 DOI: 10.1111/cch.13185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 08/04/2023] [Accepted: 10/01/2023] [Indexed: 10/17/2023]
Abstract
BACKGROUND Preterm care involves clinical measures almost exclusively aimed at keeping the preterm alive and ready for discharge from hospital. Children are then enrolled in clinical follow-up care after this stressful period, but mental or specialised care for parents and child is often not embedded in the routine of a neonatal hospital ward and the family is then dependent on institutions for mental health or child health clinics, that is, regular care that is regionally scattered. This study aimed to investigate experiences of parents with regular care and compare them with parents visiting a fixed, specialised, multidisciplinary institute, outside the hospital walls, for preterm follow-up care. METHODS A survey was conducted among 56 parents (regular follow-up care N = 26; multidisciplinary follow-up care N = 30) of children born prematurely. The survey consisted out of items like parents' experiences with follow-up care, like the organisation of care, supportive care, environmental support and experienced stress. RESULTS Parents receiving multidisciplinary follow-up care reported higher levels of satisfaction with organisation of care (F = 5.45; p = 0.023) and supportive care (F = 11.69; p = 0.001) than parents receiving regular follow-up care. Also, it was found that the extent of support from the social environment alleviated stress but only in parents receiving regular follow-up care (ß = -0.47; p = 0.016). CONCLUSIONS The current study findings indicate that experience with follow-up care is valued higher when receiving multidisciplinary care than regular care, and the degree in environmental support alleviates stress in parents receiving regular care.
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Affiliation(s)
- Daniëlle Bouwmeester
- Department of Psychology, Education and Child Studies, Erasmus University, Rotterdam, The Netherlands
| | | | | | | | - Annick Lens
- Department of Public Health, Municipality of Utrecht, Utrecht, The Netherlands
| | - Tibor Markus Brunt
- Het Kleine Heldenhuis, Rotterdam, The Netherlands
- Department of Psychiatry, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
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Stocker M, Daunhawer I, van Herk W, El Helou S, Dutta S, Schuerman FABA, van den Tooren-de Groot RK, Wieringa JW, Janota J, van der Meer-Kappelle LH, Moonen R, Sie SD, de Vries E, Donker AE, Zimmerman U, Schlapbach LJ, de Mol AC, Hoffmann-Haringsma A, Roy M, Tomaske M, Kornelisse RF, van Gijsel J, Plötz FB, Wellmann S, Achten NB, Lehnick D, van Rossum AMC, Vogt JE. Machine Learning Used to Compare the Diagnostic Accuracy of Risk Factors, Clinical Signs and Biomarkers and to Develop a New Prediction Model for Neonatal Early-onset Sepsis. Pediatr Infect Dis J 2022; 41:248-254. [PMID: 34508027 DOI: 10.1097/inf.0000000000003344] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Current strategies for risk stratification and prediction of neonatal early-onset sepsis (EOS) are inefficient and lack diagnostic performance. The aim of this study was to use machine learning to analyze the diagnostic accuracy of risk factors (RFs), clinical signs and biomarkers and to develop a prediction model for culture-proven EOS. We hypothesized that the contribution to diagnostic accuracy of biomarkers is higher than of RFs or clinical signs. STUDY DESIGN Secondary analysis of the prospective international multicenter NeoPInS study. Neonates born after completed 34 weeks of gestation with antibiotic therapy due to suspected EOS within the first 72 hours of life participated. Primary outcome was defined as predictive performance for culture-proven EOS with variables known at the start of antibiotic therapy. Machine learning was used in form of a random forest classifier. RESULTS One thousand six hundred eighty-five neonates treated for suspected infection were analyzed. Biomarkers were superior to clinical signs and RFs for prediction of culture-proven EOS. C-reactive protein and white blood cells were most important for the prediction of the culture result. Our full model achieved an area-under-the-receiver-operating-characteristic-curve of 83.41% (±8.8%) and an area-under-the-precision-recall-curve of 28.42% (±11.5%). The predictive performance of the model with RFs alone was comparable with random. CONCLUSIONS Biomarkers have to be considered in algorithms for the management of neonates suspected of EOS. A 2-step approach with a screening tool for all neonates in combination with our model in the preselected population with an increased risk for EOS may have the potential to reduce the start of unnecessary antibiotics.
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Affiliation(s)
- Martin Stocker
- From the Department of Paediatrics, Neonatal and Paediatric Intensive Care Unit, Children's Hospital Lucerne, Lucerne
| | | | - Wendy van Herk
- Department of Paediatrics, Division of Paediatric Infectious Diseases and Immunology, Erasmus MC University Medical Centre-Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Salhab El Helou
- Division of Neonatology, McMaster University Children's Hospital, Hamilton Health Sciences, Hamilton, ON, Canada
| | - Sourabh Dutta
- Division of Neonatology, McMaster University Children's Hospital, Hamilton Health Sciences, Hamilton, ON, Canada
| | - Frank A B A Schuerman
- Department of Neonatal Intensive Care Unit, Isala Women and Children's Hospital, Zwolle
| | | | - Jantien W Wieringa
- Department of Paediatrics, Haaglanden Medical Centre, 's Gravenhage, The Netherlands
| | - Jan Janota
- Department of Obstetrics and Gynecology, Motol University Hospital, Second Medical Faculty, Prague, Czech Republic
| | | | - Rob Moonen
- Department of Neonatology, Zuyderland Medical Centre, Heerlen
| | - Sintha D Sie
- Department of Neonatology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam
| | - Esther de Vries
- Department of Jeroen Bosch Academy Research, Jeroen Bosch Hospital, 's-Hertogenbosch
- Department of Tranzo, Tilburg University, Tilburg
| | - Albertine E Donker
- Department of Paediatrics, Maxima Medical Centre, Veldhoven, The Netherlands
| | - Urs Zimmerman
- Department of Paediatrics, Kantonsspital Winterthur, Winterthur
| | - Luregn J Schlapbach
- Neonatal and Pediatric Intensive Care Unit, Children`s Research Center, University Children's Hospital Zurich, Zurich, Switzerland
| | - Amerik C de Mol
- Department of Neonatology, Albert Schweitzer Hospital, Dordrecht
| | | | - Madan Roy
- Department of Neonatology, St. Josephs Healthcare, Hamilton Health Sciences, Hamilton, ON, Canada
| | - Maren Tomaske
- Department of Paediatrics, Stadtspital Triemli, Zürich, Switzerland
| | - René F Kornelisse
- Department of Paediatrics, Division of Neonatology, Erasmus MC University Medical Centre-Sophia Children's Hospital, Rotterdam
| | | | - Frans B Plötz
- Department of Pediatrics, Tergooi Hospital, Blaricum, the Netherlands and Amsterdam University Medical Center, Department of Pediatrics, Amsterdam, The Netherlands
| | - Sven Wellmann
- Department of Neonatology, University Children's Hospital Regensburg (KUNO), University of Regensburg, Regensburg, Germany
| | - Niek B Achten
- Department of Pediatrics, Tergooi Hospital, Blaricum, the Netherlands and Amsterdam University Medical Center, Department of Pediatrics, Amsterdam, The Netherlands
| | - Dirk Lehnick
- Department of Health Sciences and Medicine, Head Biostatistics and Methodology, University of Lucerne, Lucerne, Switzerland
| | - Annemarie M C van Rossum
- Department of Paediatrics, Division of Paediatric Infectious Diseases and Immunology, Erasmus MC University Medical Centre-Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Julia E Vogt
- From the Department of Paediatrics, Neonatal and Paediatric Intensive Care Unit, Children's Hospital Lucerne, Lucerne
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