北京大学学报(医学版) ›› 2023, Vol. 55 ›› Issue (6): 1045-1052. doi: 10.19723/j.issn.1671-167X.2023.06.014

• 论著 • 上一篇    下一篇

未分化结缔组织病患者的妊娠结局、疾病演变及其影响因素

游芳凝1,2,罗靓3,刘香君1,张学武1,李春1,*()   

  1. 1. 北京大学人民医院风湿免疫科, 北京 100044
    2. 重庆市中医院肾病风湿免疫科, 重庆 400011
    3. 重庆市渝北区人民医院中医科, 重庆 401120
  • 收稿日期:2023-08-11 出版日期:2023-12-18 发布日期:2023-12-11
  • 通讯作者: 李春 E-mail:13811190098@163.com
  • 基金资助:
    中华国际医学交流基金(Z-2018-40-2101);北京市科技计划项目(Z191100006619110)

Analysis of pregnancy outcomes, disease progression, and risk factors in patients with undifferentiated connective tissue disease

Fang-ning YOU1,2,Liang LUO3,Xiang-jun LIU1,Xue-wu ZHANG1,Chun LI1,*()   

  1. 1. Department of Rheumatology and Immunology, Peking University People's Hospital, Beijing 100044, China
    2. Department of Nephropathy and Rheumatology, Chongqing Hospital of Traditional Chinese Medicine, Chongqing 400011, China
    3. Department of Chinese Medicine, the People's Hospital of Yubei District of Chongqing City, Chongqing 401120, China
  • Received:2023-08-11 Online:2023-12-18 Published:2023-12-11
  • Contact: Chun LI E-mail:13811190098@163.com
  • Supported by:
    China International Medical Foundation(Z-2018-40-2101);Beijing Municipal Science and Technology Projects(Z191100006619110)

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摘要:

目的: 研究未分化结缔组织病(undifferentiated connective tissue disease, UCTD)患者的妊娠结局、疾病演变及其影响因素。方法: 选择2009年1月至2022年8月在北京大学人民医院就诊并且符合UCTD分类标准孕妇的病例资料进行回顾性分析; 106例UCTD孕妇根据妊娠结局分为不良妊娠结局组(adverse pregnancy outcomes, APOs)(53例)和无APOs组(53例), 比较两组患者临床表现、实验室指标及妊娠结局的差异。不良妊娠结局包括流产、早产、子痫前期、胎膜早破(premature rupture of membranes, PROM)、宫内生长受限(intrauterine growth restriction, IUGR)、产后出血(postpartum hemorrhage, PPH)、死胎、小于胎龄儿(small for gestational age infant, SGA)、低出生体质量(low birth weight infant, LBW)、出生缺陷。采用Logistic回归分析不良妊娠结局的危险因素, 使用Kaplan-Meier法进行生存分析, 通过Cox回归分析筛选出UCTD演变为明确CTD的危险因素。结果: 在106例UCTD患者中, 99例(93.39%)为活产, 4例(3.77%)死胎, 3例(2.83%)流产, 20例(18.86%)早产, 6例(5.66%)SGA, 17例(16.03%)LBW, 11例(10.37%)子痫前期, 7例(6.60%)IUGR, 19例(17.92%)PROM, 10例(9.43%)PPH。APOs组抗SSA抗体阳性率较无APOs组更高(73.58% vs. 54.71%, P=0.036), 白细胞减少比例更高(15.09% vs. 3.77%, P=0.046), 血红蛋白水平较无APOs组明显降低[109.00 (99.50, 118.00) g/L vs. 124.00 (111.50, 132.00) g/L, P < 0.001]。多因素Logistic回归分析显示白细胞减少(OR=0.827, 95%CI: 0.688~0.994)是UCTD患者发生APOs的独立危险因素(P=0.042)。15例(14.15%)UCTD在平均随访5.00(3.00, 7.00)年内演变为明确的结缔组织病, 其中干燥综合征8例(7.54%), 系统性红斑狼疮(systemic lupus erythematosus, SLE)4例(3.77%), 类风湿关节炎4例(3.77%), 混合性结缔组织病1例(0.94%)。雷诺现象(Raynaud phenomenon, RP) (HR=40.157, 95%CI: 3.172~508.326)是UCTD患者妊娠期及产后演变为SLE的独立危险因素(P=0.003)。结论: 白细胞减少是UCTD患者发生APOs的独立危险因素, 雷诺现象是UCTD患者演变为SLE的独立危险因素, 严格的疾病监测、定期随访是预防UCTD合并妊娠患者发生不良妊娠结局和预测疾病演变的关键措施。

关键词: 未分化结缔组织病, 不良妊娠结局, 危险因素

Abstract:

Objective: To investigate the fetal and maternal outcomes, risk factors of disease progression and adverse pregnancy outcomes (APOs) in patients with undifferentiated connective tissue disease (UCTD). Methods: This retrospective study described the outcomes of 106 pregnancies in patients with UCTD. The patients were divided into APOs group (n=53) and non-APOs group (n=53). The APOs were defined as miscarriage, premature birth, pre-eclampsia, premature rupture of membranes (PROM), intrauterine growth restriction (IUGR), postpartum hemorrhage (PPH), and stillbirth, small for gestational age infant (SGA), low birth weight infant (LBW) and birth defects. The differences in clinical manifestations, laboratory data and pregnancy outcomes between the two groups were compared. Logistic regression analysis was performed to analyze the risk factors for APOs and the progression of UCTD to definitive CTD. Results: There were 99 (93.39%) live births, 4 (3.77%) stillbirths and 3 (2.83%) miscarriage, 20 (18.86%) preterm delivery, 6 (5.66%) SGA, 17 (16.03%) LBW, 11 (10.37%) pre-eclampsia, 7 (6.60%) cases IUGR, 19 (17.92%) cases PROM, 10 (9.43%) cases PPH. Compared with the patients without APOs, the patients with APOs had a higher positive rate of anti-SSA antibodies (73.58% vs. 54.71%, P=0.036), higher rate of leukopenia (15.09% vs. 3.77%, P=0.046), lower haemoglobin level [109.00 (99.50, 118.00) g/L vs. 124.00 (111.50, 132.00) g/L, P < 0.001].Multivariate Logistic regression analysis showed that leucopenia (OR=0.82, 95%CI: 0.688-0.994) was an independent risk factors for APOs in UCTD (P=0.042). Within a mean follow-up time of 5.00 (3.00, 7.00) years, the rate of disease progression to a definite CTD was 14.15%, including 8 (7.54%) Sjögren's syndrome, 4 (3.77%) systemic lupus erythematosus (SLE), 4 (3.77%) rheumatoid arthritis and 1 (0.94%) mixed connective tissue disease. Multivariate Cox proportional risk regression analysis showed that Raynaud phenomenon (HR=40.157, 95%CI: 3.172-508.326) was an independent risk factor for progression to SLE. Conclusion: Leukopenia is an independent risk factor for the development of APOs in patients with UCTD. Raynaud's phenmon is a risk factor for the progression of SLE. Tight disease monitoring and regular follow-up are the key measures to prevent adverse pregnancy outcomes and predict disease progression in UCTD patients with pregnancy.

Key words: Undifferentiated connective tissue disease, Adverse pregnancy outcomes, Risk factor

中图分类号: 

  • R593.2

表1

两组患者临床特点及实验室指标差异"

Items Total patients (n=106) APOs (n=53) Non-APOs (n=53) Z/t/χ2 P value
Age at conception/years, ${\bar x}$±s 31.00±0.38 30.03±0.54 31.96±0.51 -2.570 0.012*
Birth weight/g, ${\bar x}$±s 2 901.43±67.30 2 693.41±104.78 3 158.26±52.11 -4.113 0.000*
Disease duration/weeks, M (P25, P75) 48.00 (23.50, 144.00) 96.00 (32.00, 144.00) 48.00 (12.00, 144.00) -1.222 0.222
Mode of delivery
  Vaginal, n (%) 56 (52.83) 23 (43.39) 33 (62.26) 2.457 0.117
  Cesarean section, n (%) 45 (42.45) 25 (47.16) 20 (37.73) 2.099 0.147
Clinical manifestations of the disease
  Arthritis, n (%) 12 (11.32) 9 (16.98) 3 (5.66) 3.383 0.066
  Cutaneous manifestations, n (%) 14 (13.20) 8 (15.09) 6 (11.32) 0.329 0.566
  Photosensitive, n (%) 5 (4.71) 4 (7.54) 1 (1.88) 1.889 0.169
  RP, n (%) 6 (5.66) 3 (5.66) 3 (5.66) 0.001 0.981
Haematological 38 (35.84) 24 (45.28) 14 (26.41) 4.102 0.043*
  Leukopenia, n (%) 10 (9.43) 8 (15.09) 2 (3.77) 3.975 0.046*
  Thrombocytopaenia, n (%) 27 (25.47) 16 (30.18) 11 (20.75) 1.242 0.265
  Haemolytic anaemia, n (%) 5 (4.71) 4 (7.54) 1 (1.88) 1.889 0.169
  PLT/(×109/L), M (P25, P75) 172.00 (103.50, 216.75) 171.00 (41.00, 234.50) 132.50 (132.50, 195.00) -0.082 0.935
  Hb/(g/L), M (P25, P75) 114.00 (106.75, 127.25) 109.00 (99.50, 118.00) 124.00 (111.50, 132.00) 11.999 0.001*
  Proteinuria, n (%) 18(16.98) 12(22.64) 6(11.32) 3.261 0.071
Laboratory features
  ANA positive, n (%) 106 (100.00) 53(50.00) 53 (50.00) 0.913 0.339
  Anti-ENA positive, n (%) 77 (72.64) 44 (83.01) 33 (62.26) 6.411 0.011*
  Anti-SSB antibodies, n (%) 11 (10.37) 8 (15.09) 3 (5.66) 2.547 0.110
  Anti-SSA antibodies, n (%) 68 (64.15) 39 (36.79) 29 (27.35) 4.412 0.036*
  Anti-RNP antibodies, n (%) 8 (7.54) 5 (9.43) 3 (5.66) 0.543 0.461
  Anti-U1RNP antibodies, n (%) 3 (2.83) 2 (3.77) 1 (1.88) 0.343 0.558
  Anti-Ro52 antibodies, n (%) 29 (27.35) 16 (30.18) 13 (24.52) 0.434 0.510
  Anti-ribosomal P protein antibodies, n (%) 5 (4.71) 4 (7.54) 1 (1.88) 1.893 0.169
  Anti-nucleosome antibodies, n (%) 5 (4.71) 2 (3.77) 3 (5.66) 0.210 0.647
  Anti-Sm antibodies, n (%) 1 (0.94) 0 (0.00) 1 (1.88) 1.010 0.315
  Anti-cell membrane DNA antibodies 2 (1.88) 2 (3.77) 0 (0.00) 1.010 0.315
  Anti-M2 antibodies, n (%) 2 (1.88) 2 (3.77) 0 (0.00) 2.040 0.153
  Anti-dsDNA antibodies, n (%) 5 (4.71) 1 (1.88) 4 (7.54) 1.891 0.169
  Low C3,n (%) 26 (24.52) 14 (26.41) 12 (22.64) 0.159 0.690
  Low C4,n (%) 3 (2.83) 0 (0.00) 3 (5.66) 3.263 0.071
  Low C3/C4, n (%) 26 (24.52) 1 4(26.41) 12 (22.64) 0.106 0.744
  IgA positive, n (%) 1 (0.94) 0 (0.00) 1 (1.88) 1.138 0.286
  IgG positive, n (%) 14 (13.20) 9 (16.98) 5 (9.43) 1.385 0.239
  IgM positive, n (%) 4 (3.77) 3 (5.66) 2 (3.77) 0.104 0.747
  LA positive, n (%) 17 (16.03) 6 (11.32) 11 (20.75) 1.426 0.232
  aCL (IgG/IgM) positive, n (%) 10 (9.43) 4 (7.54) 6 (11.32) 0.212 0.645
  Anti-β2GPⅠ(IgG/IgM) antibodies positive, n (%) 12 (11.32) 5 (9.43) 7 (13.20) 0.096 0.757
  Coombs test positive, n (%) 6 (5.66) 4 (7.54) 2 (3.77) 2.649 0.104
  D-diemer/(μg/L), M (P25, P75) 659 (346.25, 1 103.75) 747.00 (403.00, 1 603.00) 559.00 (337.00, 853.00) -0.252 0.211
  APTT/s, M (P25, P75) 27.80 (26.00, 30.00) 27.80 (26.30, 29.00) 27.35 (25.90, 30.12) 0.018 0.986
  ESR/(mm/h), M (P25, P75) 16.00 (10.00, 34.00) 14.50 (9.25, 35.50) 21.00 (11.00, 40.00) -0.674 0.500
  CRP/(mg/L), M (P25, P75) 4.92 (1.82, 11.42) 8.09 (2.49, 22.00) 3.20 (1.66, 10.00) -1.190 0.234
  RF/(IU/mL), M (P25, P75) 15.00 (15.00, 21.15) 15.00 (15.00, 29.20) 15.00 (15.00, 15.00) -0.985 0.325

表2

UCTD患者APOs的二元Logistic分析"

Variables Univariate Multivariate
B Wald P OR(95%CI) B Wald P OR(95%CI)
Anti-SSA positive -0.902 4.311 0.038* 0.406 (0.173-0.951)
Anti-ENA positive -1.232 6.038 0.014* 0.292 (0.109-0.779)
Leucopenia -0.239 6.786 0.009* 0.788 (0.658-0.943) -0.190 4.119 0.042* 0.827(0.688-0.994)
Anemia -0.051 12.497 0.000* 0.950 (0.923-0.977)

表3

患者在孕前、孕期和孕后进行的治疗"

Therapy Before pregnancy, n(%) During pregnancy, n(%) Postpartum, n(%)
Low-dose aspirin 13 (12.26) 32 (30.18) 1 (0.94)
Low molecular weight heparin 6 (5.66) 29 (27.35) 3 (2.83)
Glucocorticosteroids 27 (25.47) 19 (17.92) 27 (25.47)
HCQ 51 (48.11) 78 (73.58) 61 (57.54)
Intravenous immunoglobulin 0 (0.00) 3 (2.83) 0 (0.00)
MMF 0 (0.00) 0 (0.00) 2 (1.88)
Ciclosporin 3 (2.83) 6 (5.66) 7 (6.60)
Iguratimod 0 0 3 (2.83)
Tacrolimus 1 (0.94) 2 (1.88) 2 (1.88)

表4

UCTD演变为明确CTD的相关因素分析"

CTD Variables CTD group Control group Z/t/χ2 P
SLE RP, n (%) 3 (75.00) 3 (2.94) 37.427 0.000*
Anti-RNP, n (%) 2 (50.00) 6 (5.88) 10.237 0.030*
SS Anti-SSA, n (%) 8 (100.0) 60 (61.22) 4.340 0.037*
Arthritis, n (%) 3 (37.50) 11 (11.22) 4.455 0.025*
Salivary gland ultrasound, n (%) 3 (37.50) 0 (0.00) 101.00 0.000*
RA Arthritis, n (%) 3 (75.00) 11 (10.78) 13.846 0.007*

图1

UCTD演变为确切CTD的Kaplan-Meier生存曲线"

表5

UCTD演变为明确CTD的Cox比例风险回归分析"

CTD Variables Univariate Multivariate
B SE Wald P HR(95% CI) B SE Wald P HR(95% CI)
SLE RP 3.894 1.155 11.360 0.001* 49.120 (5.102-472.877) 3.693 1.295 8.130 0.004* 40.157 (3.172-508.326)
Anti-RNP 2.751 1.052 6.832 0.009* 15.652 (1.990-123.117)
SS Salivary gland ultrasound 3.417 0.736 21.537 0.000* 30.487 (7.200-129.095)
RA Arthritis -3.101 1.157 7.182 0.007* 0.045 (0.005-0.435)
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