Analysis of the prognosis and influencing factors of early-onset neonatal sepsis
10.3760/cma.j.cn115455-20240624-00530
- VernacularTitle:早发型新生儿败血症的病情转归及其影响因素分析
- Author:
Huiling KANG
1
;
Ru WANG
1
;
Conghui LIU
1
Author Information
1. 石家庄市妇幼保健院新生儿科，石家庄 050006
- Publication Type:Journal Article
- Keywords:
Infant, newborn;
Sepsis;
Thrombocytopenia;
Prognosis;
Meningitis, bacterial;
Nomograms
- From:
Chinese Journal of Postgraduates of Medicine
2025;48(1):76-80
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the prognosis and influencing factors of early-onset neonatal sepsis (EONS), and provide the guidance for early clinical prevention and treatment.Methods:The clinical data of 147 children with EONS in Shijiazhuang Maternal and Child Health Hospital from January 2019 to December 2023 were retrospectively analyzed. The baseline data and prognosis data (good prognosis and poor prognosis) were recorded. Multivariate Logistic regression analysis was used to analyze the risk factors of poor prognosis in children with EONS. R3.5.3 software package was used to build a nomogram model for predicting poor prognosis in children with EONS, and the rms package was used to calculate the consistency index ( C- index), and Bootstrap self-sampling was used for internal verification. Results:Among the 147 children with EONS, 41 children (27.89%) had poor prognosis, and 106 children (72.11%) had good prognosis. The incidence of thrombocytopenia, incidence of bacterial meningitis, procalcitonin and lactate in children with poor prognosis were significantly higher than those in children with good prognosis: 68.29% (28/41) vs. 17.92% (19/106), 43.9% (18/41) vs. 1.89% (2/106), (70.36 ± 13.45) ng/L vs. (42.76 ± 10.37) ng/L and (6.18 ± 2.05) mmol/L vs. (4.22 ± 1.05) mmol/L, and there were statistical differences ( P<0.01); there were no statistical difference in gender composition, gestational age, birth weight, 1 min Apgar score, delivery mode, white blood cell, C-reactive protein, creatinine and the incidences of placental abruption, amniotic fluid contamination, maternal infection, necrotizing enterocolitis between the two groups ( P>0.05). Multivariate Logistic analysis result showed that thrombocytopenia, bacterial meningitis, high procalcitonin and high lactate were the independent risk factors for poor prognosis in children with EONS ( OR = 9.595, 22.657, 1.213 and 2.614; 95% CI 1.094 to 20.055, 1.833 to 41.328, 0.745 to 0.937 and 0.990 to 1.209; P<0.05 or <0.01). A nomogram model was constructed to predict poor prognosis in children with EONS, using thrombocytopenia, bacterial meningitis, procalcitonin and lactate as predictive factors. The nomogram model predicted that the correction curve for poor prognosis in children with EONS tended towards the ideal curve ( C- index = 0.987, 95% CI 0.975 to 0.998). Conclusions:The children with EONS have a higher risk of adverse prognosis, which may be related to their comorbidities with thrombocytopenia, bacterial meningitis, high procalcitonin and high lactate at diagnosis. The nomogram model established based on the indexes has a good predictive effect on the disease prognosis.
