Please wait a minute...
欢迎访问发育医学电子杂志,今天是
发育医学电子杂志  2025, Vol. 13 Issue (3): 188-194    DOI: 10.3969/j.issn.2095-5340.2025.03.005
  围产医学   论著 |产科 |
妊娠期肝内胆汁淤积症不良围产儿结局的危险因素分析与预测模型建立
李蕾 张林风 孙宁 王晓倩
1. 衡水市第二人民医院 外三科,河北 衡水 053000;2. 衡水市第二人民医院 妇科,河北 衡水 053000
Risk factors analysis and prediction model establishment for adverse perinatal outcomes in intrahepatic cholestasis of pregnancy
Li Lei, Zhang Linfeng, Sun Ning, et al
(1. Department of the Third Surgery, Hengshui SecondPeople's Hospital, Hebei, Hengshui 053000, China; 2. Department of Gynecology, Hengshui Second People'sHospital, Hebei, Hengshui 053000, China)
下载:  PDF (1090KB) 
输出:  BibTeX | EndNote (RIS)      
摘要 【摘要】 目的  分析妊娠期肝内胆汁淤积症(intrahepatic cholestasis of pregnancy,ICP)不良围产儿结局的危险因素并建立预测模型。 方法 采用回顾性研究方法,选取2021 年9 月至2023 年6 月衡水市第二人民医院收治的228 例ICP 患者作为研究对象,根据是否发生不良围产儿结局分为发生组(n=90)和未发生组(n=138)。收集两组的临床资料[ 年龄、分娩史、ICP 诊断孕周、妊娠期糖尿病、分娩方式、妊娠期高血压疾病、甘胆酸、胎儿性别、丙氨酸氨基转移酶、孕前身体质量指数、慢性乙型肝炎、总胆汁酸、直接胆红素、细胞因子信号传导抑制因子3(suppressors of cytokine signaling 3,SOCS3)蛋白]。统计学方法采用t 检验和χ2 检验。采用LASSO 回归筛选ICP 不良围产儿结局的特征变量,Logistic 回归分析ICP 不良围产儿结局的特征变量,建立列线图模型,对该模型进行验证。 结果  发生组ICP 诊断孕周≥ 34 周占比低于未发生组[72.22%(65/90)与84.06%(116/138),χ2=4.663,P<0.05)] ;发生组的妊娠期糖尿病、妊娠期高血压疾病、慢性乙型肝炎发生率均高于未发生组([21.11%(19/90)与10.87%(15/138)16.67%(15/90)与7.97%(11/138),10.00%(9/90)与1.45%(2/138),χ2 值分别为4.503、4.077、6.912,P 值均<0.05)] ;发生组的甘胆酸、总胆汁酸、直接胆红素、丙氨酸氨基转移酶均高于未发
生组[(40.58±11.67) μmol/L 与(32.64±10.35) μmol/L,(49.87±12.34) μmol/L 与(38.66±9.47) μmol/L,(9.05±2.23) μmol/L 与(7.49±2.37) μmol/L,(197.60±45.85) μmol/L 与(158.32±39.13) μmol/L,t 值分别为5.382、7.738、4.972、6.918,P 值均<0.05)] ;发生组的SOCS3 蛋白低于未发生组[(113.82±36.49) pg/L 与(137.95±40.66) pg/L,t=-4.558,P<0.05)。将LASSO 回归筛选的自变量进一步进行Logistic 回归分析结果显示,ICP 诊断孕周≥ 34 周、SOCS3 蛋白高是ICP 不良围产儿结局的独立相关保护因素。妊娠期糖尿病、慢性乙型肝炎、妊娠期高血压疾病、低甘胆酸、低总胆汁酸是ICP 不良围产儿结局的独立相关危险因素(P<0.05)。根据ICP 不良围产儿结局的影响因素构建列线图,该模型一致性和预测效能良好。结论 ICP 不良围产儿结局的影响因素包括ICP 诊断孕周、妊娠期糖尿病、妊娠期高血压疾病、SOCS3蛋白、慢性乙型肝炎、甘胆酸、总胆汁酸,以上述因素构建的列线图模型具有良好的预测价值。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
关键词:  妊娠期肝内胆汁淤积症  围产儿结局  预测  列线图  模型    
Abstract: 【Abstract】 Objective To analyze the risk factors of adverse perinatal outcomes in intrahepatic cholestasisof pregnancy (ICP) and establish a predictive model. Method A total of 228 patients with ICP admittedto the Hengshui Second People's Hospital from September 2021 to June 2023 were retrospectively selectedas the study subjects, and which were categorised into occurrence group (n=90) and non-occurrence group(n=138) according to whether or not adverse perinatal outcomes occurred. Clinical data [age, birth history, ICPdiagnosis gestational week, gestational diabetes mellitus, delivery model, hypertensive disorder complicatingpregnancy, glycocholic acid, fetal gender, alanine aminotransferase, pre-pregnancy body mass index, chronichepatitis B, total bile acid, direct bilirubin, suppressors of cytokine signaling 3 (SOCS3) protein] werecollected between the two groups. Statistical methods performed by t-test and χ2 test. LASSO regressionwas used to screen the characteristic variables of adverse perinatal outcomes in ICP, Logistic regression wasused to analyze the characteristic variables of adverse perinatal outcomes in ICP, and a nomogram predictionmodel was established, and the model was validated.  Result The proportion of diagnostic gestationalage of ICP ≥34 weeks in the occurrence group was lower than that in the non-occurrence group [72.22%(65/90) vs 84.06% (116/138), χ2=4.663, P<0.05]. The incidence of gestational diabetes mellitus, hypertensivedisorder complicating pregnancy, and chronic hepatitis B in the occurrence group were significantly higherthan those in the non-occurrence group [21.11% (19/90) vs 10.87% (15/138), 16.67% (15/90) vs 7.97%(11/138), 10.00% (9/90) vs 1.45% (2/138), respectively; χ2=4.503, 4.077, 6.912, all P<0.05]. The levelsof glycocholic acid, total bile acids, direct bilirubin, and alanine aminotransferase in the occurrencegroup were higher than those in the non-occurrence group [(40.58±11.67) μmol/L vs (32.64±10.35)μmol/L, (49.87±12.34) μmol/L vs (38.66±9.47) μmol/L, (9.05±2.23) μmol/L vs (7.49±2.37) μmol/L,(197.60±45.85) μmol/L vs (158.32±39.13) μmol/L; t values was 5.382, 7.738, 4.972, 6.918, respectively,all P<0.05]. SOCS3 protein in the occurrence group was lower than that in the non-occurrence group[(113.82±36.49) pg/L vs (137.95±40.66) pg/L, t=-4.558, P<0.05). Further Logistic regression analysisof the independent variables screened by LASSO regression showed that diagnostic gestational age of ICP≥34 weeks and high SOCS3 protein were independent protective factors associated with adverse perinataloutcomes in ICP, while gestational diabetes mellitus, chronic hepatitis B, hypertensive disorder complicatingpregnancy, low glycocholic acid, and low total bile acid were independent risk factors associated with adverseperinatal outcomes in ICP (P<0.05). Nomogram was constructed according to the influencing factors of adverseperinatal outcomes in ICP, the consistency and prediction efficiency of the model were good. Conclusion The influencing factors of adverse perinatal outcomes in ICP include diagnostic gestational age of ICP,gestational diabetes mellitus, hypertensive disorder complicating pregnancy, SOCS3 protein, chronic hepatitisB, glycocholic acid and total bile acid. The nomogram model based on the above factors has good predictive value.
Key words:  Intrahepatic cholestasis of pregnancy    Perinatal outcome     Predictive    Nomogram    Model
收稿日期:  2024-05-07                     发布日期:  2025-05-31     
基金资助: 河北省重点研发计划项目(22109638215D);衡水市科技计划项目(2021014062Z)
通讯作者:  张林风    E-mail:  y10985912@163.com
引用本文:    
李蕾 张林风 孙宁 王晓倩. 妊娠期肝内胆汁淤积症不良围产儿结局的危险因素分析与预测模型建立[J]. 发育医学电子杂志, 2025, 13(3): 188-194.
Li Lei, Zhang Linfeng, Sun Ning, et al. Risk factors analysis and prediction model establishment for adverse perinatal outcomes in intrahepatic cholestasis of pregnancy. Journal of Developmental Medicine(Electronic Version), 2025, 13(3): 188-194.
链接本文:  
http://www.fyyxzz.com/CN/10.3969/j.issn.2095-5340.2025.03.005  或          http://www.fyyxzz.com/CN/Y2025/V13/I3/188
[1] 周菊梅 雷斐 刘新美 王少丽. 妊娠期高血压综合征孕妇低分子肝素联合小剂量阿司匹林治疗后出现不良妊娠结局的危险因素及风险预测模型[J]. 发育医学电子杂志, 2025, 13(3): 195-201.
[2] 牛慧霞 司丽英 常志霞 邵毅 赵晓英 郭志梅. 支气管肺发育不良患儿发生肺动脉高压的影响因素分析[J]. 发育医学电子杂志, 2025, 13(2): 114-119.
[3] 娄娟 顾成敏 李洋 鲁会红 冯敏. 基于血清sTNFR- Ⅱ与血栓弹力图评价子痫前期病情及母儿并发症发生风险[J]. 发育医学电子杂志, 2025, 13(2): 120-127.
[4] 郭玉江 赵赞 姜现洋 张力 肖鑫 黄春梅. 新疆高校新生身体形态指标和血压的特征及关联性研究[J]. 发育医学电子杂志, 2024, 12(2): 120-129.
[5] 易可欣 范尹尹 陈柳蓉 汪玉宝 朱文武 贾海波 朱雄伟. 骨髓增生异常综合征在斑马鱼中的研究进展[J]. 发育医学电子杂志, 2024, 12(1): 53-60.
[6] 刘娟 谭宗建 彭维晖 雷薇 刘人杰 黄盛文. 化疗损伤性早发性卵巢功能不全小鼠模型的建立[J]. 发育医学电子杂志, 2023, 11(5): 346-351.
[7] 吴志荣 朱玉平 万丽娟. 产后盆底功能障碍康复治疗效果的影响因素及列线图预测模型建立[J]. 发育医学电子杂志, 2023, 11(3): 187-193.
[8] 朱大华 陈家莲 胡洋 夏雪 赵雪 郭贝西 牟华平. HPV DNA 检测、HPV E6/E7 mRNA 检测和液基薄层细胞学检查对宫颈切除术后病灶残留或复发的预测价值[J]. 发育医学电子杂志, 2022, 10(3): 203-208.
[9] 明邦发 王欢 陈柳蓉 贾海波 王雅琴. 斑马鱼血液疾病模型[J]. 发育医学电子杂志, 2022, 10(1): 7-11.
[10] 王欢 明邦发 陈柳蓉 贾海波 王雅琴. 斑马鱼髓系细胞发育[J]. 发育医学电子杂志, 2022, 10(1): 1-6.
[11] 李娟 沈晓亚. 母体血内脂素、降钙素原和超敏C- 反应蛋白联合预测胎膜早破并发宫内感染的价值[J]. 发育医学电子杂志, 2021, 9(6): 427-431.
[12] 纪逸萱 王亮 郝敏 刘延 李招娣 李文. 卵胞浆内单精子显微注射技术周期中胚胎质量的影响因素及预测模型[J]. 发育医学电子杂志, 2021, 9(5): 335-340.
[13] 刘雪来 李龙 李索林 宋岩彪 杜娟 靳晓次 郑颖龙 费川 张永 婷. 采用电切法建立小鼠皮肤线形深Ⅱ°烫伤模型[J]. 发育医学电子杂志, 2021, 9(4): 259-262.
[14] 张富娟 赵旭东 孙彬. 前列腺癌分子机制及其动物模型[J]. 发育医学电子杂志, 2021, 9(1): 1-7.
[15] 洪昆峣 林新祝.
绒毛膜血管病的研究进展
[J]. 发育医学电子杂志, 2020, 8(4): 370-372.
No Suggested Reading articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed