Predictive analysis of GBS colonization load on adverse pregnancy outcomes in patients with GBS infection in late pregnancy
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摘要:
目的 分析B族链球菌(GBS)定植载量对妊娠晚期GBS感染患者不良妊娠结局的预测价值,并分析其作为预测指标的临床价值,为早期风险分层与干预提供依据。 方法 选取2022年1月—2024年12月绍兴市妇幼保健院收治的800例妊娠晚期GBS感染患者,随访至分娩,分析妊娠结局。根据妊娠结局,将患者分为不良妊娠结局组(247例)与良好妊娠结局组(553例),比较2组一般资料,使用logistic回归分析研究患者不良妊娠结局的影响因素,采用ROC曲线评估GBS定植载量对不良妊娠结局的预测价值。 结果 GBS感染组患者发生不良妊娠结局247例,发生率为30.88%。不良妊娠结局组与良好妊娠结局组的年龄、分娩孕周、多胎妊娠、肥胖、既往感染史、合并妊娠期糖尿病、合并妊娠期高血压、孕期用药、口腔卫生状况、GBS定植载量比较差异均有统计学意义(P<0.05)。Logistic回归分析显示,年龄大、分娩孕周小、多胎妊娠、肥胖、既往感染史、合并妊娠期糖尿病、合并妊娠期高血压、孕期用药、GBS定植载量高是影响患者不良妊娠结局的危险因素,口腔卫生状况良好是其保护因素。GBS定植载量对不良妊娠结局预测的AUC、灵敏度、特异度分别为0.828、69.39%、88.57%。 结论 GBS定植载量对妊娠晚期GBS感染患者不良妊娠结局具有较高的预测价值,临床可依据GBS定植载量水平,结合其他危险因素,对患者进行更精准的风险评估与个性化干预。 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. -
表 1 不良妊娠结局组与良好妊娠结局组患者一般资料比较
Table 1. Comparison of baseline characteristics between the adverse and favorable pregnancy outcome groups
项目 例数 不良妊娠结局组
(n=247)良好妊娠结局组
(n=553)统计量 P值 年龄(x±s,岁) 32.34±3.91 29.15±3.86 10.756a <0.001 分娩孕周(x±s,周) 36.25±1.10 38.52±1.24 24.747a <0.001 多胎妊娠[例(%)] 15.329b <0.001 是 60 32(53.33) 28(46.67) 否 740 215(29.05) 525(70.95) 肥胖[例(%)] 18.083b <0.001 是 150 68(45.33) 82(54.67) 否 650 179(27.54) 471(72.46) 生育史[例(%)] 0.041b 0.840 有 433 135(31.18) 298(68.82) 无 367 112(30.52) 255(69.48) 剖宫产史[例(%)] 0.301b 0.583 有 137 45(32.85) 92(67.15) 无 663 202(30.47) 461(69.53) 既往感染史[例(%)] 24.673b <0.001 有 192 87(45.31) 105(54.69) 无 608 160(26.32) 448(73.68) 合并妊娠期糖尿病[例(%)] 8.987b 0.003 是 134 56(41.79) 78(58.21) 否 666 191(28.68) 475(71.32) 合并妊娠期高血压[例(%)] 10.457b 0.001 是 95 43(45.26) 52(54.74) 否 705 204(28.94) 501(71.06) 孕期用药[例(%)] 14.991b <0.001 有 178 76(42.70) 102(57.30) 无 622 171(27.49) 451(72.51) 口腔卫生状况[例(%)] 24.186b <0.001 良好 487 119(24.44) 368(75.56) 不良 313 128(40.89) 185(59.11) 孕期运动[例(%)] 0.145b 0.704 有规律 283 85(30.04) 198(69.96) 无规律 517 162(31.33) 355(68.67) 居住环境[例(%)] 0.149b 0.699 良好 670 205(30.60) 465(69.40) 不良 130 42(32.31) 88(67.69) GBS定植载量[例(%)] 58.463b <0.001 高载量 345 156(45.22) 189(54.78) 低载量 455 91(20.00) 364(80.00) 注:a为t值,b为χ2值。 表 2 变量赋值情况
Table 2. Variable assignment
变量 赋值方法 年龄 连续变量,以实际值赋值 分娩孕周 连续变量,以实际值赋值 多胎妊娠 是=1,否=0 肥胖 是=1,否=0 既往感染史 有=1,无=0 合并妊娠期糖尿病 是=1,否=0 合并妊娠期高血压 是=1,否=0 孕期用药 有=1,无=0 口腔卫生状况 良好=1,不良=0 GBS定植载量 高载量=1,低载量=0 表 3 影响患者不良妊娠结局的多因素logistic回归分析
Table 3. Multivariate Logistic analysis of factors influencing adverse pregnancy outcomes in patients
变量 B SE Waldχ2 P值 OR(95% CI) 年龄 0.570 0.152 21.933 <0.001 1.752(1.238~2.924) 分娩孕周 0.469 0.206 15.882 <0.001 2.095(1.525~6.881) 多胎妊娠 1.233 0.298 20.053 <0.001 3.152(2.161~5.827) 肥胖 0.962 0.216 27.342 <0.001 2.714(1.657~3.841) 既往感染史 1.122 0.254 23.946 <0.001 3.751(1.874~4.507) 合并妊娠期糖尿病 0.771 0.196 22.775 <0.001 2.102(1.591~3.352) 合并妊娠期高血压 0.844 0.183 20.306 <0.001 2.304(1.517~3.963) 孕期用药 0.951 0.266 16.406 <0.001 2.342(1.743~3.799) 口腔卫生状况 -0.154 0.557 6.588 0.027 0.880(0.726~0.961) GBS定植载量 1.344 0.272 23.652 <0.001 3.720(2.268~6.427) -
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