Volume 23 Issue 11
Nov.  2025
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Article Navigation >  Chinese Journal of General Practice  > 2025  >  23(11): 1892-1895
DING Jinlong, YING Qunhua, LOU Xiumin, XU Renjie. Predictive analysis of GBS colonization load on adverse pregnancy outcomes in patients with GBS infection in late pregnancy[J]. Chinese Journal of General Practice, 2025, 23(11): 1892-1895. doi: 10.16766/j.cnki.issn.1674-4152.004254
Citation: DING Jinlong, YING Qunhua, LOU Xiumin, XU Renjie. Predictive analysis of GBS colonization load on adverse pregnancy outcomes in patients with GBS infection in late pregnancy[J]. Chinese Journal of General Practice, 2025, 23(11): 1892-1895. doi: 10.16766/j.cnki.issn.1674-4152.004254
shu

Predictive analysis of GBS colonization load on adverse pregnancy outcomes in patients with GBS infection in late pregnancy

doi: 10.16766/j.cnki.issn.1674-4152.004254
  • 1.

    Department of Laboratory, Shaoxing Maternal and Child Health Hospital, Shaoxing, Zhejiang 312000, China

Funds:

 2024KY483

 2023SSY004

  • Received Date: 2025-06-17
    Available Online: 2026-01-07
    Abstract
  •   Objective  To analyze the predictive value of group B Streptococcus (GBS) colonization load for adverse pregnancy outcomes in patients with GBS infection in the third trimester of pregnancy, and to evaluate its clinical value as a predictive indicator for early risk stratification and intervention.  Methods  A total of 800 patients with GBS infection in the third trimester of pregnancy at Shaoxing Maternal and Child Health Hospital from January 2022 to December 2024 were selected, followed up until delivery, and their pregnancy outcomes of these patients were then analyzed. According to the pregnancy outcomes, the patients were divided into two groups: an adverse pregnancy outcome group and a good pregnancy outcome group, and the differences in general data between these two groups were then compared. Logistic regression was utilized in order to analyze the factors associated with adverse pregnancy outcomes in patients. The receiver operating characteristic (ROC) curve was utilized to evaluate the predictive value of GBS colonization load for adverse pregnancy outcomes.  Results  A total of 247 cases of adverse pregnancy outcomes were documented, with an incidence rate of 30.88%. Comparisons between the adverse pregnancy outcome group and the good pregnancy outcome group in terms of age, gestational age at delivery, multiple pregnancies, obesity, history of previous infections, complicated with gestational diabetes, complicated with gestational hypertension, medication during pregnancy, oral hygiene status, and GBS colonization load showed statistically significant differences (P < 0.05). Logistic regression analysis demonstrated that older age, smaller gestational age at delivery, multiple pregnancies, obesity, history of previous infections, complicated with gestational diabetes, complicated with gestational hypertension, medication during pregnancy, and high GBS colonization load were risk factors for adverse pregnancy outcomes in patients, while good oral hygiene status was a protective factor. The area under the curve (AUC), sensitivity, and specificity of GBS colonization load in predicting adverse pregnancy outcomes were 0.828, 69.39% and 88.57%, respectively.  Conclusion  It has been determined that the GBS colonization load possesses a high predictive value for adverse pregnancy outcomes in patients with GBS infection during the third trimester of pregnancy. Clinically, more accurate risk assessment and provide a personalized intervention for patients can be carried out based on the level of GBS colonization load combined with other risk factors.

     

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