Potential Clinical Predictors of Suspected Early and Late Onset Sepsis (EOS and LOS) in Preterm Newborns: a Single Tertiary Center Retrospective Study.
Age of Onset
C-Reactive Protein
/ analysis
Female
Gestational Age
Humans
Infant, Newborn
Infant, Newborn, Diseases
/ diagnosis
Infant, Premature
Intensive Care Units, Neonatal
/ statistics & numerical data
Male
Pregnancy
Pregnancy Complications, Infectious
Retrospective Studies
Risk Assessment
/ methods
Risk Factors
Sepsis
/ complications
Tertiary Care Centers
/ statistics & numerical data
Urinary Tract Infections
/ complications
Journal
Clinical laboratory
ISSN: 1433-6510
Titre abrégé: Clin Lab
Pays: Germany
ID NLM: 9705611
Informations de publication
Date de publication:
01 Jul 2019
01 Jul 2019
Historique:
entrez:
17
7
2019
pubmed:
17
7
2019
medline:
7
1
2020
Statut:
ppublish
Résumé
Neonatal sepsis represents one of the common diseases in the neonatal intensive care unit. Here we aim to evaluate the differences between a group of preterm newborns with sepsis and a control group in relation to clinical and laboratory variables. In addition, our goal is to establish potential predictors of early-onset sepsis (EOS) and late-onset sepsis (LOS). The study included 113 preterm newborns with sepsis (EOS-63.72%/LOS-36.28%). Laboratory deter-minations included full blood count, CRP, biochemical determinations, blood culture. The most important univariate neonatal predictors were gestational age (p < 0.001), surfactant adminis-tration (p < 0.001), mechanical ventilation (p < 0.001), heart failure (p < 0.001), a history of hypocalcemia (p = 0.037), Apgar score at 1 minute lower than 7 (p = 0.001), birth weight < 1,500 g (p = 0.005), number of hospi-talization days (p = 0.048), and number of weight recovery days < 10 (p < 0.05). The WBC and CRP parameters remained significant univariate predictors of sepsis on day 7 (p = 0.002; OR = 2.01 per 10,000 mm3 increase of WBC, 95% CI: (1.30; 3.09) and p = 0.001; OR = 4.27, 95% CI: (1.85; 9.88), respectively). Logistic regression anal-ysis showed maternal urinary tract infection (OR = 3.05), heart failure (OR = 5.28), the number of hospitalization days (OR = 1.09) and CRP (OR = 3.26) were significant independent risk factors for neonatal sepsis in preterms. The univariate predictors of EOS were gestational age (p = 0.002), birth weight (p = 0.014), 1-minute Apgar score (p = 0.012), maternal urinary tract infection (p = 0.008), surfactant administration (p < 0.001), heart failure (p < 0.001), and CRP level (p < 0.001). Surfactant administration (OR = 6.73) and CRP level (OR = 3.51) represent predictors of EOS in preterms according to the multivariate model. The univariate predictors of LOS were gesta-tional age (p = 0.001), birth weight (p = 0.048), 1-minute Apgar score (p = 0.001), surfactant administration (p < 0.001), hypocalcemia (p = 0.03), heart failure (p = 0.003), CRP level (p < 0.001), mechanical ventilation (p < 0.001), and the number of hospitalization days (p < 0.001). In the multivariate model, the number of hospitali-zation days (OR = 1.11) and heart failure (OR = 5.98) are independent predictors for LOS in preterms. The study confirms the presence of maternal urinary tract infection, hospitalization days, heart fail-ure, and CRP level as predictors of neonatal sepsis in preterms with differences between EOS and LOS.
Sections du résumé
BACKGROUND
BACKGROUND
Neonatal sepsis represents one of the common diseases in the neonatal intensive care unit. Here we aim to evaluate the differences between a group of preterm newborns with sepsis and a control group in relation to clinical and laboratory variables. In addition, our goal is to establish potential predictors of early-onset sepsis (EOS) and late-onset sepsis (LOS).
METHODS
METHODS
The study included 113 preterm newborns with sepsis (EOS-63.72%/LOS-36.28%). Laboratory deter-minations included full blood count, CRP, biochemical determinations, blood culture.
RESULTS
RESULTS
The most important univariate neonatal predictors were gestational age (p < 0.001), surfactant adminis-tration (p < 0.001), mechanical ventilation (p < 0.001), heart failure (p < 0.001), a history of hypocalcemia (p = 0.037), Apgar score at 1 minute lower than 7 (p = 0.001), birth weight < 1,500 g (p = 0.005), number of hospi-talization days (p = 0.048), and number of weight recovery days < 10 (p < 0.05). The WBC and CRP parameters remained significant univariate predictors of sepsis on day 7 (p = 0.002; OR = 2.01 per 10,000 mm3 increase of WBC, 95% CI: (1.30; 3.09) and p = 0.001; OR = 4.27, 95% CI: (1.85; 9.88), respectively). Logistic regression anal-ysis showed maternal urinary tract infection (OR = 3.05), heart failure (OR = 5.28), the number of hospitalization days (OR = 1.09) and CRP (OR = 3.26) were significant independent risk factors for neonatal sepsis in preterms. The univariate predictors of EOS were gestational age (p = 0.002), birth weight (p = 0.014), 1-minute Apgar score (p = 0.012), maternal urinary tract infection (p = 0.008), surfactant administration (p < 0.001), heart failure (p < 0.001), and CRP level (p < 0.001). Surfactant administration (OR = 6.73) and CRP level (OR = 3.51) represent predictors of EOS in preterms according to the multivariate model. The univariate predictors of LOS were gesta-tional age (p = 0.001), birth weight (p = 0.048), 1-minute Apgar score (p = 0.001), surfactant administration (p < 0.001), hypocalcemia (p = 0.03), heart failure (p = 0.003), CRP level (p < 0.001), mechanical ventilation (p < 0.001), and the number of hospitalization days (p < 0.001). In the multivariate model, the number of hospitali-zation days (OR = 1.11) and heart failure (OR = 5.98) are independent predictors for LOS in preterms.
CONCLUSIONS
CONCLUSIONS
The study confirms the presence of maternal urinary tract infection, hospitalization days, heart fail-ure, and CRP level as predictors of neonatal sepsis in preterms with differences between EOS and LOS.
Identifiants
pubmed: 31307181
doi: 10.7754/Clin.Lab.2019.190105
doi:
Substances chimiques
C-Reactive Protein
9007-41-4
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM