0000000000462352

AUTHOR

Andrei Dragomir

0000-0003-2815-6958

showing 2 related works from this author

Exploring Inflammatory Status in Febrile Seizures Associated with Urinary Tract Infections: A Two-Step Cluster Approach

2021

Background: Urinary tract infections (UTIs) are considered common facilitating factors, along with other infections, in triggering febrile seizures (FS). The main purpose of our study was to identify specific inflammatory patterns of UTI cases from other infections in a specific cluster, using a combination of inflammatory biomarkers to differentiate UTIs from other bacterial diseases triggering FS. Method: This prospective study included a number of 136 patients with 197 distinct FS events, from patients hospitalized in the Pediatric Clinical Hospital Sibiu, among which 10.2% were diagnosed with UTIs. Results: In one-third of the patients with UTIs (20 cases), the symptoms were limited to …

medicine.medical_specialtyUrinary systemTwo stepNeurosciences. Biological psychiatry. NeuropsychiatryUrinecut-off valuesurologic and male genital diseasesGastroenterologyArticleInternal medicineMedicinefebrile seizuresMean platelet volumeProspective cohort studyinflammatory biomarkersbiologybusiness.industryGeneral NeurosciencePlatelet Distribution WidthC-reactive proteinInflammatory biomarkersfemale genital diseases and pregnancy complicationsurine leukocyte and nitrite stick testlaboratory databiology.proteinurinary tract infectionsbusinessCRPRC321-571cluster analysisBrain Sciences
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A Decision-Tree Approach to Assist in Forecasting the Outcomes of the Neonatal Brain Injury

2021

Neonatal brain injury or neonatal encephalopathy (NE) is a significant morbidity and mortality factor in preterm and full-term newborns. NE has an incidence in the range of 2.5 to 3.5 per 1000 live births carrying a considerable burden for neurological outcomes such as epilepsy, cerebral palsy, cognitive impairments, and hydrocephaly. Many scoring systems based on different risk factor combinations in regression models have been proposed to predict abnormal outcomes. Birthweight, gestational age, Apgar scores, pH, ultrasound and MRI biomarkers, seizures onset, EEG pattern, and seizure duration were the most referred predictors in the literature. Our study proposes a decision-tree approach b…

Pediatricsmedicine.medical_specialtyHealth Toxicology and MutagenesisEncephalopathyArticleCerebral palsy03 medical and health sciencesEpilepsy0302 clinical medicinePregnancySeizuresMedicinerisk factorsHumans030212 general & internal medicineRisk factorRetrospective StudiesEpilepsyneonatal brain injuryneurodevelopmentbusiness.industryNeonatal encephalopathyRPublic Health Environmental and Occupational Healthabnormal outcomesInfant NewbornGestational ageInfantElectroencephalographyOdds ratiomedicine.diseasedecision-tree algorithmsBrain InjuriesApgar ScoreMedicineApgar scoreFemalebusiness030217 neurology & neurosurgeryInternational Journal of Environmental Research and Public Health
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