All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications.
Feature papers are submitted upon individual invitation or recommendation by the scientific editors and must receive positive feedback from the reviewers.
Editor’s Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal.
Original Submission Date Received: .
- Journals
-
- Active Journals
- Find a Journal
- Proceedings Series
-
- Topics
- Information
-
- For Authors
- For Reviewers
- For Editors
- For Librarians
- For Publishers
- For Societies
- For Conference Organizers
- Open Access Policy
- Institutional Open Access Program
- Special Issues Guidelines
- Editorial Process
- Research and Publication Ethics
- Article Processing Charges
- Awards
- Testimonials
-
- Author Services
- Initiatives
-
- Sciforum
- MDPI Books
- Preprints.org
- Scilit
- SciProfiles
- Encyclopedia
- JAMS
- Proceedings Series
-
- About
-
- Overview
- Contact
- Careers
- News
- Press
- Blog
-
Sign In / Sign Up Submit
Journals
JPM
Volume 14
Issue 7
10.3390/jpm14070672
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu
Article Menu
- Academic Editor
Zhice Xu
- Subscribe SciFeed
- Related Info Link
- More by Authors Links
- Table of Contents
announcement Help format_quote Cite
thumb_up ... Endorse textsms ... Comment
Need Help?
Support
Find support for a specific problem in the support section of our website.
Get Support
Feedback
Please let us know what you think of our products and services.
Give Feedback
Information
Visit our dedicated information section to learn more about MDPI.
Get Information
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Open AccessArticle
by Manuela Pantea SciProfiles Scilit Preprints.org Google Scholar Chaitanya Kalapala SciProfiles Scilit Preprints.org Google Scholar Barkha Rani Thakur SciProfiles Scilit Preprints.org Google Scholar Daniela Iacob SciProfiles Scilit Preprints.org Google Scholar Claudia Ioana Borțea SciProfiles Scilit Preprints.org Google Scholar Alexandra Herlo SciProfiles Scilit Preprints.org Google Scholar Felicia Marc SciProfiles Scilit Preprints.org Google Scholar Sonia Tanasescu SciProfiles Scilit Preprints.org Google Scholar Adina Bucur SciProfiles Scilit Preprints.org Google Scholar 
Manuela Pantea
, Chaitanya KalapalaBarkha Rani ThakurDaniela Iacob, Claudia Ioana BorțeaAlexandra HerloFelicia MarcSonia TanasescuAdina Bucur
1
Department of Neonatology, “Victor Babes” University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania
2
Doctoral School, “Victor Babes” University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania
4
Department of Obstetrics and Gynecology, MediCiti Institute of Medical Sciences, Hyderabad 501401, India
5
Department of Infectious Diseases, “Victor Babes” University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania
6
Department of Medical Sciences, Faculty of Medicine and Pharmacy, University of Oradea, 410073 Oradea, Romania
7
Department of Pediatrics, “Victor Babes” University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania
8
Department of Functional Sciences, Discipline of Public Health, Center for Translational Research and Systems Medicine, “Victor Babes” University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania
*
Author to whom correspondence should be addressed.
J. Pers. Med. 2024, 14(7), 672; https://doi.org/10.3390/jpm14070672 (registeringDOI)
Submission received: 31 May 2024 / Revised: 19 June 2024 / Accepted: 20 June 2024 / Published: 22 June 2024
(This article belongs to the Special Issue Personalized Approaches to Prenatal Screening and Diagnosis)
Abstract
The incidence of Neonatal Systemic Inflammatory Response Syndrome (SIRS) is a critical concern in neonatal care. This study aimed to identify maternal laboratory parameters predictive of SIRS in newborns, focusing on the establishment of diagnostic cutoffs and evaluating the predictive power of these biomarkers. This prospective cohort study was conducted from January 2023 to January 2024 across several regional hospitals specializing in neonatal care. It included 207 mother-newborn pairs, divided into groups based on the neonatal development of SIRS (66 cases) or its absence (141 controls). Key maternal parameters measured included inflammatory markers and liver enzymes, analyzed using standard biochemical methods. The study applied receiver operating characteristic (ROC) analysis to establish optimal cutoff values and conducted multivariate logistic regression to determine hazard ratios (HRs) for SIRS prediction, with adjustments for potential confounders. The study identified significant ROC/AUC values for several biomarkers. The neutrophil-to-lymphocyte ratio (NLR) demonstrated an AUC of 0.926, with a cutoff value of 3.64, achieving 81.8% sensitivity and 90.9% specificity (p < 0.001). The systemic immune–inflammation index (SII) showed an AUC of 0.819 and a cutoff of 769.12, with 75.8% sensitivity and 81.8% specificity (p < 0.001). Multivariate regression analysis highlighted that neonates with maternal SII values above this cutoff were three times more likely to develop SIRS (HR 3.09, 95% CI 2.21–4.17, p < 0.0001). Other notable biomarkers included dNLR and ALRI, with respective HRs of 1.88 (p = 0.018) and 1.75 (p = 0.032). These findings confirm the significant predictive value of specific maternal inflammatory markers for neonatal SIRS. These findings support the utility of these biomarkers in prenatal screening to identify neonates at increased risk of SIRS, potentially guiding preemptive clinical interventions.
Keywords: neonatology; obstetrics; inflammation; diagnostics
Share and Cite
MDPI and ACS Style
Pantea, M.; Kalapala, C.; Thakur, B.R.; Iacob, D.; Borțea, C.I.; Herlo, A.; Marc, F.; Tanasescu, S.; Bucur, A. Predictive Role of Maternal Laboratory Parameters and Inflammatory Scores in Determining Systemic Inflammatory Response Syndrome in Newborns at Birth. J. Pers. Med. 2024, 14, 672. https://doi.org/10.3390/jpm14070672
AMA Style
Pantea M, Kalapala C, Thakur BR, Iacob D, Borțea CI, Herlo A, Marc F, Tanasescu S, Bucur A. Predictive Role of Maternal Laboratory Parameters and Inflammatory Scores in Determining Systemic Inflammatory Response Syndrome in Newborns at Birth. Journal of Personalized Medicine. 2024; 14(7):672. https://doi.org/10.3390/jpm14070672
Chicago/Turabian Style
Pantea, Manuela, Chaitanya Kalapala, Barkha Rani Thakur, Daniela Iacob, Claudia Ioana Borțea, Alexandra Herlo, Felicia Marc, Sonia Tanasescu, and Adina Bucur. 2024. "Predictive Role of Maternal Laboratory Parameters and Inflammatory Scores in Determining Systemic Inflammatory Response Syndrome in Newborns at Birth" Journal of Personalized Medicine 14, no. 7: 672. https://doi.org/10.3390/jpm14070672
Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.
Article Metrics
Cite
Export citation file: BibTeX | EndNote | RIS
MDPI and ACS Style
Pantea, M.; Kalapala, C.; Thakur, B.R.; Iacob, D.; Borțea, C.I.; Herlo, A.; Marc, F.; Tanasescu, S.; Bucur, A. Predictive Role of Maternal Laboratory Parameters and Inflammatory Scores in Determining Systemic Inflammatory Response Syndrome in Newborns at Birth. J. Pers. Med. 2024, 14, 672. https://doi.org/10.3390/jpm14070672
AMA Style
Pantea M, Kalapala C, Thakur BR, Iacob D, Borțea CI, Herlo A, Marc F, Tanasescu S, Bucur A. Predictive Role of Maternal Laboratory Parameters and Inflammatory Scores in Determining Systemic Inflammatory Response Syndrome in Newborns at Birth. Journal of Personalized Medicine. 2024; 14(7):672. https://doi.org/10.3390/jpm14070672
Chicago/Turabian Style
Pantea, Manuela, Chaitanya Kalapala, Barkha Rani Thakur, Daniela Iacob, Claudia Ioana Borțea, Alexandra Herlo, Felicia Marc, Sonia Tanasescu, and Adina Bucur. 2024. "Predictive Role of Maternal Laboratory Parameters and Inflammatory Scores in Determining Systemic Inflammatory Response Syndrome in Newborns at Birth" Journal of Personalized Medicine 14, no. 7: 672. https://doi.org/10.3390/jpm14070672
Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.
J. Pers. Med., EISSN 2075-4426, Published by MDPI
RSS Content Alert
Further Information
Article Processing Charges Pay an Invoice Open Access Policy Contact MDPI Jobs at MDPI
Guidelines
For Authors For Reviewers For Editors For Librarians For Publishers For Societies For Conference Organizers
MDPI Initiatives
Sciforum MDPI Books Preprints.org Scilit SciProfiles Encyclopedia JAMS Proceedings Series
© 1996-2024 MDPI (Basel, Switzerland) unless otherwise stated
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
Terms and Conditions Privacy Policy
