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Alexandru Cărăuleanu

Biographic Data

ID7897489
NAMEAlexandru Cărăuleanu
GIVEN NAMESAlexandru
FAMILY NAMECărăuleanu
SIGNATURECĂRĂULEANU A
AFFILIATIONSGrigore T. Popa University of Medicine and Pharmacy
ORCID0000-0001-9112-7039
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Investigating the Association between Serum and Hematological Biomarkers and Neonatal Sepsis in Newborns with Premature Rupture of Membranes

    Open Access•Maura Adelina Hincu, Gabriela Ildikó Zonda et al.•ARTICLE•Children•2024

    (1) Background: Neonatal early-onset sepsis (EOS) is associated with important mortality and morbidity. The aims of this study were to evaluate the association between serum and hematological biomarkers with early onset neonatal sepsis in a cohort of patients with prolonged rupture of membranes (PROM) and to calculate their diagnostic accuracy. (2) Methods: A retrospective cohort study was conducted on 1355 newborns with PROM admitted between Jan…

  • Hematologic Risk Factors for the Development of Retinopathy of Prematurity—A Retrospective Study

    Open Access•Gabriela Ildikó Zonda, Raluca Mogos et al.•ARTICLE•Children•2023

    (1) Background: Retinopathy of prematurity (ROP) can cause severe visual impairment or even blindness. We aimed to assess the hematological risk factors that are associated with different stages of ROP in a cohort of preterm newborns, and to compare the clinical characteristics and therapeutic interventions between groups. (2) Methods: This retrospective study included 149 preterm newborns from a tertiary maternity hospital in Romania between Jan…

  • Machine Learning Approaches for the Prediction of Hepatitis B and C Seropositivity

    Open Access•Valeriu Harabor, Raluca Mogos et al.•ARTICLE•International Journal of…•2023

    (1) Background: The identification of patients at risk for hepatitis B and C viral infection is a challenge for the clinicians and public health specialists. The aim of this study was to evaluate and compare the predictive performances of four machine learning-based models for the prediction of HBV and HCV status. (2) Methods: This prospective cohort screening study evaluated adults from the North-Eastern and South-Eastern regions of Romania betw…

  • Knowledge of Adolescent Girls regarding Sexually Transmitted Diseases

    Open Access•Dana-Teodora Anton-Păduraru, Egidia Gabriela MIFTODE et al.•ARTICLE•Revista de Cercetare si…•2020

    This study aimed at assessing knowledge on sexually transmitted diseases (STDs) in rural 14 to 18-year-old adolescent girls. We administered a questionnaire about STDs to 534 girls and, then, organized a health education programme that included didactic lectures. The major sources of information about STDs were: family – 45.50%, professors – 21.70%, and the family doctor – 11.80%. Girls prefer to discuss sexuality with their mothers rather than w…

No prominent works on this page.

  • Knowledge of Adolescent Girls regarding Sexually Transmitted Diseases

    Open Access•Dana-Teodora Anton-Păduraru, Egidia Gabriela MIFTODE et al.•ARTICLE•Revista de Cercetare si…•2020

    This study aimed at assessing knowledge on sexually transmitted diseases (STDs) in rural 14 to 18-year-old adolescent girls. We administered a questionnaire about STDs to 534 girls and, then, organized a health education programme that included didactic lectures. The major sources of information about STDs were: family – 45.50%, professors – 21.70%, and the family doctor – 11.80%. Girls prefer to discuss sexuality with their mothers rather than w…

  • Hematologic Risk Factors for the Development of Retinopathy of Prematurity—A Retrospective Study

    Open Access•Gabriela Ildikó Zonda, Raluca Mogos et al.•ARTICLE•Children•2023

    (1) Background: Retinopathy of prematurity (ROP) can cause severe visual impairment or even blindness. We aimed to assess the hematological risk factors that are associated with different stages of ROP in a cohort of preterm newborns, and to compare the clinical characteristics and therapeutic interventions between groups. (2) Methods: This retrospective study included 149 preterm newborns from a tertiary maternity hospital in Romania between Jan…

  • Machine Learning Approaches for the Prediction of Hepatitis B and C Seropositivity

    Open Access•Valeriu Harabor, Raluca Mogos et al.•ARTICLE•International Journal of…•2023

    (1) Background: The identification of patients at risk for hepatitis B and C viral infection is a challenge for the clinicians and public health specialists. The aim of this study was to evaluate and compare the predictive performances of four machine learning-based models for the prediction of HBV and HCV status. (2) Methods: This prospective cohort screening study evaluated adults from the North-Eastern and South-Eastern regions of Romania betw…

  • Investigating the Association between Serum and Hematological Biomarkers and Neonatal Sepsis in Newborns with Premature Rupture of Membranes

    Open Access•Maura Adelina Hincu, Gabriela Ildikó Zonda et al.•ARTICLE•Children•2024

    (1) Background: Neonatal early-onset sepsis (EOS) is associated with important mortality and morbidity. The aims of this study were to evaluate the association between serum and hematological biomarkers with early onset neonatal sepsis in a cohort of patients with prolonged rupture of membranes (PROM) and to calculate their diagnostic accuracy. (2) Methods: A retrospective cohort study was conducted on 1355 newborns with PROM admitted between Jan…

Medicine (4 works) · Internal Medicine (3 works) · Pediatrics (2 works) · Retrospective cohort study (2 works) · Adolescent Sexual and Reproductive Health (1 work) · Artificial Intelligence (1 work) · C-reactive protein (1 work) · Child and Adolescent Health (1 work) · Computer Science (1 work) · Confidence interval (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae