Untreated Prior Pulmonary Tuberculosis Adversely Affects Pregnancy Outcomes in Infertile Women Undergoing in vitro Fertilization and Embryo Transfer: A Large Retrospective Cohort Study

GAI Xiao Yan CHI Hong Bin ZENG Lin CAO Wen Li CHEN Li Xue ZHANG Chen LU Ming NING Lan Ding CHANG Chun ZHANG Wei Xia LIU Ping LI Rong SUN Yong Chang QIAO Jie

GAI Xiao Yan, CHI Hong Bin, ZENG Lin, CAO Wen Li, CHEN Li Xue, ZHANG Chen, LU Ming, NING Lan Ding, CHANG Chun, ZHANG Wei Xia, LIU Ping, LI Rong, SUN Yong Chang, QIAO Jie. Untreated Prior Pulmonary Tuberculosis Adversely Affects Pregnancy Outcomes in Infertile Women Undergoing in vitro Fertilization and Embryo Transfer: A Large Retrospective Cohort Study[J]. Biomedical and Environmental Sciences, 2021, 34(2): 130-138. doi: 10.3967/bes2021.019
Citation: GAI Xiao Yan, CHI Hong Bin, ZENG Lin, CAO Wen Li, CHEN Li Xue, ZHANG Chen, LU Ming, NING Lan Ding, CHANG Chun, ZHANG Wei Xia, LIU Ping, LI Rong, SUN Yong Chang, QIAO Jie. Untreated Prior Pulmonary Tuberculosis Adversely Affects Pregnancy Outcomes in Infertile Women Undergoing in vitro Fertilization and Embryo Transfer: A Large Retrospective Cohort Study[J]. Biomedical and Environmental Sciences, 2021, 34(2): 130-138. doi: 10.3967/bes2021.019

doi: 10.3967/bes2021.019

Untreated Prior Pulmonary Tuberculosis Adversely Affects Pregnancy Outcomes in Infertile Women Undergoing in vitro Fertilization and Embryo Transfer: A Large Retrospective Cohort Study

Funds: This work was supported by the National Natural Science Foundation [No. 81400041 and No. 81871212]; the National Natural Science Foundation of China Youth Fund Project [No. 81400038]; and cohort study project of the Peking University Third Hospital [Y70545-04]
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    Author Bio:

    GAI Xiao Yan, female, born in 1981, MD, majoring in prevention and control of respiratory infectious disease

    CHI Hong Bin, female, born in 1970, MD, majoring in infertility

    ZENG Lin, female, born in 1978, MD, majoring in clinical epidemiology

    Corresponding author: QIAO Jie, E-mail: jie.qiao@263.netSUN Yong Chang, E-mail: suny@bjmu.edu.cn
  • &These authors contributed equally to this work.
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    &These authors contributed equally to this work.
    注释:
  • Figure  1.  Flow of protocol and outcome. IVF-ET, in vitro fertilization and embryo transfer; CXR, chest X-ray; PTB, pulmonary tuberculosis; PUTH, Peking University Third Hospital

    S1.  Patients' residence (n = 14,254)

    S1.   Characteristics of the total infertile patients at baseline

    CharacteristicsUntreated Prior-PTB Group (n = 1,239)Non-PTB Group (n = 12,767)P Value
    Age (years)34.4 ± 5.232.9 ± 5.1< 0.001*
    Body mass index, kg/m222.5 ± 3.622.9 ± 3.7< 0.001*
    Duration of infertility (years)4.8 ± 4.14.2 ± 3.7< 0.001*
    Causes of infertility, no. (%)0.005*
    Female factors
     Fallopian tube factor345 (23.2)2,312 (18.1)
     PCOS133 (10.8)1,391 (10.9)
     Endometriosis18 (1.5)179 (1.4)
     Mixed female factors178 (14.4)1,542 (12.1)
     Other female factors46 (3.7)590 (4.6)
    Male factors
     Oligospermia/asthenospermia131 (10.6)1,549 (12.1)
     Other male factors62 (5.0)2,312 (18.1)
     Mixed female and male factors281 (22.7)2,778 (21.8)
     Unexplained infertility131 (10.6)1,570 (12.3)
    COH protocol< 0.01*
     Ultralong GnRH agonist125 (10.1)1,433 (11.2)
     Short GnRH agonist47 (3.8)417 (3.3)
     GnRH antagonist633 (51.1)6,730 (52.7)
     Microsimulation cycle82 (6.6)512 (4.0)
     Long GnRH agonist339 (27.4)3,498 (27.4)
     Natural or other13 (1.0)177 (1.4)
    Basic hormone
     FSH, mIU/mL6.3 (4.6–8.3)6.2 (4.6–7.9)0.024*
     LH, mIU/mL3.2 (2.0–4.9)3.3 (2.0–5.0)0.197
     E2, pg/mL156.0 (117.0–200.0)158.0 (119.0–203.0)0.440
     P, nmol/L1.0 (0.8–1.4)1.1 (0.8–1.5)0.289
     AMH, ng/mL2.2 (1.0–4.2)2.4 (1.1–4.5)0.051
    Total sinus follicles10.7 ± 6.011.8 ± 5.9< 0.001*
    No. of retrieved oocytes11.0 ± 7.412.2 ± 8.2< 0.001*
      Note. Mixed female factors, mixed with two or more female infertile factors. Mixed female and male factors, mixed with two or more infertile factors of both sexes.
    Abbreviations: PTB, pulmonary tuberculosis; BMI, body mass index; PCOS, polycystic ovary syndrome; COH, controlled ovarian hyperstimulation; FSH, follicle-stimulating hormone; LH, luteinizing hormone; E2, estradiol; P, prolactin; AMH, anti-Müllerian hormone.
    *P < 0.05.
    下载: 导出CSV

    Table  1.   Characteristics of infertile patients who underwent ET cycles

    CharacteristicsUntreated prior-PTB group (n = 791)Non-PTB group (n = 7,807)P value
    Age (years)34.8 ± 5.033.0 ± 5.0< 0.001a
    BMI, kg/m222.6 ± 3.523.1 ± 3.8< 0.001a
    Duration of infertility (years)4.6 ± 4.04.3 ± 3.70.017a
    Causes of infertility, no. (%)0.081
     Female factors
      Fallopian tube factor185 (23.4)1,582 (20.3)
      PCOS60 (9.8)799 (10.3)
      Endometriosis10 (1.3)108 (1.4)
      Mixed female factors113 (14.3)906 (11.6)
      Other female factors20 (2.5)241 (3.1)
     Male factors
      Oligospermia/asthenospermia92 (11.6)1,023 (13.1)
      Other male factors39 (4.9)512 (6.6)
     Mixed female and male factors170 (21.5)1,682 (21.5)
     Unexplained infertility84 (10.6)954 (12.2)
    COH protocol0.034a
     Ultralong GnRH agonist85 (10.7)939 (12.0)
     Short GnRH agonist31 (3.9)251 (3.2)
     GnRH antagonist404 (51.1)4,119 (52.8)
     Microsimulation cycle39 (4.9)227 (2.9)
     Long GnRH agonist228 (28.8)2,225 (28.5)
     Natural or other4 (0.5)46 (0.6)
    Baseline hormone
     FSH, mIU/mL6.3 (4.6–8.2)6.3 (4.7–7.9)0.328
     LH, mIU/mL3.1 (1.9–4.6)3.2 (2.0–4.7)0.191
     E2, pg/mL156.0 (119.0–202.0)158.0 (120.0–203.0)0.582
     P, nmol/L1.0 (0.8–1.4)1.1 (0.8–1.5)0.040a
    AMH, ng/mL2.1 (1.1–3.5)2.2 (1.1–3.9)0.143
    No. of total sinus follicles10.1 ± 5.411.1 ± 5.5< 0.001a
    No. of retrieved oocytes9.3 ± 4.910.0 ± 5.2< 0.001a
    Endometrial thickness (mm)10.78 ± 1.7110.74 ± 1.750.534
    Endometrial pattern0.095
     A702 (88.7)6,721 (86.1)
     A–B3 (0.4)34 (0.4)
     B77 (9.7)991 (12.7)
     C0 (0.0)2 (0.0)
    No. of good-quality embryos per cycleb3.0 (1.0, 5.0)3.0 (2.0, 6.0)< 0.001a
    No. of embryos transferred< 0.001a
     1154 (19.6)1,161 (15.0)
     2630 (80.4)6,593 (85.0)
      Note. Mixed female factors, mixed with two or more female infertile factors. Mixed female and male factors, mixed with two or more factors of infertility of both sexes.
    ET, embryo transfer; BMI, body mass index; PTB, pulmonary tuberculosis; PCOS, polycystic ovary syndrome; COH, controlled ovarian hyperstimulation; GnRH, gonadotropin-releasing hormone; FSH, follicle-stimulating hormone; LH, luteinising hormone; E2, oestradiol; P, prolactin; AMH, anti-Müllerian hormone.
    aP < 0.05.
    bEmbryos were evaluated on the third day after fertilization. All good-quality embryos were developed from two pronuclei zygotes and met the following criteria: (1) more than five blastomeres; (2) size difference of less than 20%; and (3) fragmentation of less than 50%.
    Data on BMI, endometrial thickness, endometrial pattern, and number of embryos transferred were missing for 80 cases, 1,418 cases, 68 cases, and 60 cases, respectively, in the general research population.
    下载: 导出CSV

    Table  2.   Pregnancy outcomes in the untreated prior-PTB and non-PTB groups

    Pregnancy outcomesUntreated prior-PTB groupNon-PTB groupP value
    Clinical pregnancy ratea31.7% (251/791)38.1% (2,973/7,807)< 0.001d
    Miscarriage rateb19.1% (48/251)15.5% (462/2,973)0.135
    Live birth ratec23.8% (186/782)30.6% (2,375/7,768)< 0.001d
      Note. PTB, pulmonary tuberculosis.
    aClinical pregnancy rate was defined as clinical pregnancy per embryo transfer.
    bMiscarriage rate was defined as miscarriages per clinical pregnancy.
    cLive birth rate was defined as live birth per embryo transfer.
    dP < 0.05.
    下载: 导出CSV

    S2.   Multivariate logistic regression analyses for pregnancy outcomes

    OutcomesVariablesOR (95% CI)P value
    Clinical pregnancy (n = 8,593)Untreated prior-PTB vs. non-PTB group0.87 (0.72–1.04)0.119
    Age< 0.001*
    31–35 years vs. ≤ 30 years0.96 (0.86–1.08)0.492
    36–40 years vs. ≤ 30 years0.59 (0.51–0.69)< 0.001*
    41–45 years vs. ≤ 30 years0.25 (0.19–0.32)< 0.000*
    ≥ 46 years vs. ≤ 30 years0.08 (0.02–0.25)< 0.001*
    BMI0.99 (0.98–1.00)0.161
    Endometrial thickness1.08 (1.05–1.12)< 0.001*
    No. of good-quality embryos per cycle1.10 (1.08–1.12)< 0.001*
    COH protocol< 0.001*
    Ultralong GnRH agonist vs. natural1.32 (0.50–3.47)0.578
    Long GnRH agonist vs. natural0.86 (0.32–2.35)0.773
    Short GnRH agonist vs. natural0.82 (0.31–2.14)0.684
    GnRH antagonist vs. natural1.10 (0.40–3.01)0.852
    Microsimulation cycle vs. natural1.18 (0.45–3.08)0.743
    Infertile causes0.177
    Unexplained infertility vs. PCOS1.23 (0.99–1.54)0.068
    Mixed female factors vs. PCOS0.91 (0.72–1.15)0.441
    Mixed female and male factors vs. PCOS1.04 (0.85–1.28)0.715
    Oligospermia/asthenospermia vs. PCOS1.13 (0.91–1.40)0.283
    Other male factors vs. PCOS0.95 (0.68–1.33)0.763
    Other female factors vs. PCOS1.01 (0.78–1.31)0.944
    Fallopian tube factor vs. PCOS1.13 (0.92–1.38)0.263
    Endometriosis0.95 (0.60–1.50)0.826
    Miscarriage (n = 3,222)Untreated prior-PTB vs non-PTB group1.26 (0.87–1.83)0.214
    Age< 0.001*
    31–35 years vs. ≤ 30 years1.07 (0.83–1.39)0.596
    36–40 years vs. ≤ 30 years2.38 (1.76–3.21)< 0.001*
    41–45 years vs. ≤ 30 years5.36 (3.22–8.93)< 0.001*
    ≥ 46 years vs. ≤ 30 years0.999
    BMI1.03 (1.00–1.06)0.048
    Endometrial thickness0.92 (0.87–0.99)0.019*
    No. of good-quality embryos per cycle0.98 (0.95–1.02)0.365
    COH Protocol0.315
    Ultralong GnRH agonist vs. natural0.27 (0.05–1.41)0.119
    Long GnRH agonist vs. natural0.45 (0.08–2.56)0.370
    Short GnRH agonist vs. natural0.29 (0.06–1.50)0.139
    GnRH antagonist vs. natural0.20 (0.03–1.21)0.080
    Microsimulation cycle vs. natural0.29 (0.06–1.52)0.144
    Infertile causes0.237
    Unexplained infertility vs. PCOS1.31 (0.81–2.10)0.269
    Mixed female factors vs. PCOS1.47 (0.90–2.42)0.128
    Mixed female and male factors vs. PCOS0.99 (0.63–1.55)0.958
    Oligospermia/asthenospermia vs. PCOS1.05 (0.65–1.71)0.831
    Other male factors vs. PCOS1.62 (0.83–3.15)0.156
    Other female factors vs. PCOS1.21 (0.67–2.18)0.523
    Fallopian tube factor vs. PCOS0.96 (0.61–1.52)0.865
    Endometriosis1.84 (0.76–4.49)0.178
    Live birth (n = 8,545)Untreated prior-PTB vs. non-PTB group0.80 (0.66–0.98)0.028*
    Age< 0.001*
    31–35 years vs. ≤ 30 years0.95 (0.84–1.07)0.413
    36–40 years vs. ≤ 30 years0.50 (0.43–0.59)< 0.001*
    41–45 years vs. ≤ 30 years0.17 (0.12–0.23)< 0.001*
    ≥ 46 years vs. ≤ 30 years0.997
    BMI0.98 (0.97–1.00)0.009*
    Endometrial thickness1.11 (1.08–1.15)< 0.001*
    No. of good-quality embryos per cycle1.09 (1.07–1.11)< 0.001*
    COH Protocol< 0.001*
    Ultralong GnRH agonist vs. natural2.05 (0.59–7.15)0.262
    Long GnRH agonist vs. natural1.16 (0.32–4.18)0.826
    Short GnRH agonist vs. natural1.32 (0.38–4.57)0.664
    GnRH antagonist vs. natural1.93 (0.53–6.97)0.319
    Microsimulation cycle vs. natural1.87 (0.54–6.51)0.324
    Infertile causes0.073
    Unexplained infertility vs. PCOS1.20 (0.95–1.53)0.131
    Mixed female factors vs. PCOS0.86 (0.67–1.11)0.250
    Mixed female and male factors vs. PCOS1.08 (0.86–1.35)0.522
    Oligospermia/asthenospermia vs. PCOS1.15 (0.91–1.46)0.237
    Other male factors vs. PCOS0.88 (0.61–1.28)0.505
    Other female factors vs. PCOS1.01 (0.77–1.34)0.924
    Fallopian tube factor vs. PCOS1.17 (0.93–1.46)0.180
    Endometriosis0.93 (0.57–1.52)0.768
      Note. Abbreviations: PTB, pulmonary tuberculosis; BMI, body mass index; PCOS, polycystic ovary syndrome; COH, controlled ovarian hyperstimulation; PCOS, polycystic ovary syndrome.
    *P < 0.05.
    下载: 导出CSV

    Table  3.   Multivariable logistic regression analyses for pregnancy outcomes

    VariableClinical pregnancy rate (n = 8,598)Miscarriage rate (n = 3,222)Live birth rate (n = 8,545)
    OR (95% CI)P valueOR (95% CI)P valueOR (95% CI)P value
    Untreated prior PTB vs. non-PTB0.87 (0.72–1.04)0.1191.26 (0.87–1.83)0.2140.80 (0.66–0.98)0.028a
      Note. Factors were adjusted for age, BMI, infertile causes, controlled ovarian hyperstimulation protocol, endometrial thickness, and number of good-quality embryos per cycle.
    OR, odds ratio; CI, confidence interval; PTB, pulmonary tuberculosis; BMI, body mass index.
    aP < 0.05.
    下载: 导出CSV

    Table  4.   Correlation analysis between untreated prior PTB revealed by chest X-ray and pregnancy outcomes in different infertile populations

    Different infertile populationsClinical pregnancy rateMiscarriage rateLive birth rate
    nORP valuenORP valuenORP value
    General research population7,1670.87 (0.72, 1.04)0.1192,7031.26 (0.87, 1.83)0.2147,1240.80 (0.66, 0.98)0.028a
    Fallopian tube factor1,4590.75 (0.52, 1.08)0.1245951.14 (0.51, 2.53)0.7531,4450.68 (0.46, 1.02)0.059
    PCOS6971.04 (0.55, 1.94)0.9122051.38 (0.36, 5.27)0.6376930.81 (0.39, 1.70)0.576
    Endometriosis1011.10 (0.17, 6.94)0.923370.9991011.90 (0.27, 13.46)0.520
    Oligospermia/asthenospermia1,0080.61 (0.36, 1.01)0.0544211.43 (0.43, 4.77)0.5611,0010.62 (0.36, 1.08)0.092
    Unexplained infertility9150.73 (0.44, 1.22)0.2293814.19 (1.69, 10.39)0.002a9110.45 (0.24, 0.83)0.011a
    Mixed female factors7791.13 (0.66, 1.92)0.6672500.36 (0.09, 1.44)0.1487741.42 (0.81, 2.51)0.224
    Mixed female and male factors1,5221.03 (0.70, 1.53)0.8745480.99 (0.41, 2.40)0.9811,5161.09 (0.71, 1.67)0.682
    Other female factors2212.02 (0.65, 6.24)0.224774.52 (0.62, 33.25)0.1382190.75 (0.20, 2.77)0.661
    Other male factors4650.86 (0.38, 1.93)0.7081891.28 (0.23, 6.95)0.7784640.83 (0.35, 1.97)0.680
      Note. Factors were adjusted for age, BMI, and controlled ovarian hyperstimulation protocol. OR, odds ratio; PTB, pulmonary tuberculosis; BMI, body mass index. PCOS, polycystic ovary syndrome; aP < 0.05.
    Data on BMI, endometrial thickness, endometrial pattern, and number of embryos transferred were missing for 80, 1,418, 68, and 60 cases, respectively, in the general research population.
    下载: 导出CSV
  • [1] World Health Organization, 2020. Global TB report 2020 Available at: https://www.who.int/tb/publications/global_report/en/. [2020-12-28].
    [2] Quaife M, Houben R, Allwood B, et al. Post-tuberculosis mortality and morbidity: valuing the hidden epidemic. Lancet Respir Med, 2020; 8, 332−3. doi:  10.1016/S2213-2600(20)30039-4
    [3] Zhao F, Zhang ZG, Ma SB, et al. Prevalence of Tuberculosis among Close Contacts of Index Cases in 27 Universities in Beijing, China, 2017-2018. Biomed Environ Sci, 2020; 33, 780−4.
    [4] Ou XC, Li H, Lie DX, et al. Comparison of Xpert MTB/RIF, RealAmp, and CPA Tests in Detecting Mycobacterium tuberculosis. Biomed Environ Sci, 2019; 32, 215−9.
    [5] Gao L, Lu W, Bai L, et al. Latent tuberculosis infection in rural China: baseline results of a population-based, multicentre, prospective cohort study. Lancet Infect Dis, 2015; 15, 310−9. doi:  10.1016/S1473-3099(14)71085-0
    [6] Lam KB, Jiang CQ, Jordan RE, et al. Prior TB, smoking, and airflow obstruction: a cross-sectional analysis of the Guangzhou Biobank Cohort Study. Chest, 2010; 137, 593−600. doi:  10.1378/chest.09-1435
    [7] Thoma ME, McLain AC, Louis JF, et al. Prevalence of infertility in the United States as estimated by the current duration approach and a traditional constructed approach. Fertil Steril, 2013; 99, 1324.e1−1331.e1.
    [8] Vander Borght M, Wyns C. Fertility and infertility: definition and epidemiology. Clin Biochem, 2018; 62, 2−10. doi:  10.1016/j.clinbiochem.2018.03.012
    [9] Zhou Z, Zheng D, Wu H, et al. Epidemiology of infertility in China: a population-based study. BJOG, 2018; 125, 432−41. doi:  10.1111/1471-0528.14966
    [10] Practice Committee of the American Society for Reproductive Medicine. Diagnostic evaluation of the infertile female: a committee opinion. Fertil Steril, 2015; 103, e44−e50. doi:  10.1016/j.fertnstert.2015.03.019
    [11] Bhanothu V, Theophilus JP, Reddy PK, et al. Occurrence of female genital tuberculosis among infertile women: a study from a tertiary maternal health care research centre in South India. Eur J Clin Microbiol Infect Dis, 2014; 33, 1937−49. doi:  10.1007/s10096-014-2164-1
    [12] Dai W, Ma L, Cao Y, et al. In vitro fertilization outcome in women with endometrial tuberculosis and tubal tuberculosis. Gynecol Endocrinol, 2020; 36, 819−23. doi:  10.1080/09513590.2019.1702639
    [13] Jirge PR, Chougule SM, Keni A, et al. Latent genital tuberculosis adversely affects the ovarian reserve in infertile women. Hum Reprod, 2018; 33, 1262−9. doi:  10.1093/humrep/dey117
    [14] Kulshrestha V, Kriplani A, Agarwal N, et al. Genital tuberculosis among infertile women and fertility outcome after antitubercular therapy. Int J Gynaecol Obstet, 2011; 113, 229−34. doi:  10.1016/j.ijgo.2010.12.014
    [15] Kissin DM, Jamieson DJ, Barfield WD. Monitoring health outcomes of assisted reproductive technology. N Engl J Med, 2014; 371, 91−3. doi:  10.1056/NEJMc1404371
    [16] World Health Organization, 2015. Tuberculosis in Women. World Health Organization, Geneva. Available at: https://apps.who.int/iris/handle/10665/191102. [2018-10-12].
    [17] Piccazzo R, Paparo F, Garlaschi G. Diagnostic accuracy of chest radiography for the diagnosis of tuberculosis (TB) and its role in the detection of latent TB infection: a systematic review. J Rheumatol, 2014; Suppl. 91, 32−40.
    [18] Nachiappan AC, Rahba K, Shi X, et al. Pulmonary tuberculosis: role of radiology in diagnosis and management. Radiographics, 2017; 37, 52−72. doi:  10.1148/rg.2017160032
    [19] Gelbaya TA, Potdar N, Jeve Y, et al. Definition and epidemiology of unexplained infertility. Obstet Gynecol, 2014; Surv 69, 109−115.
    [20] Wang H, Gao H, Chi H, et al. Effect of levothyroxine on miscarriage among women with normal thyroid function and thyroid autoimmunity undergoing in vitro fertilization and embryo transfer: a randomized clinical trial. JAMA, 2017; 318, 2190−8. doi:  10.1001/jama.2017.18249
    [21] Peduzzi P, Concato J, Kemper E, et al. A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol, 1996; 49, 1373−9. doi:  10.1016/S0895-4356(96)00236-3
    [22] Xiao LL, Wu SY, He PP, et al. Analysis of TB screening results among applicants for immigration to the United States in Beijing. Chin J Antituberc, 2014; 36, 86−92.
    [23] He W, Chen BD, Lv Y, et al. Use of low-dose computed tomography to assess pulmonary tuberculosis among healthcare workers in a tuberculosis hospital. Infect Dis Poverty, 2017; 6, 68. doi:  10.1186/s40249-017-0274-6
    [24] Mijiti P, Yuehua L, Feng X, et al. Prevalence of pulmonary tuberculosis in western China in 2010-11: a population-based, cross-sectional survey. Lancet Glob Health, 2016; 4, e485−e494. doi:  10.1016/S2214-109X(16)30074-2
    [25] Wang L, Zhang H Ruan, Y, et al. Tuberculosis prevalence in China, 1990-2010; a longitudinal analysis of national survey data. Lancet, 2014; 383, P2057−P2064. doi:  10.1016/S0140-6736(13)62639-2
    [26] Bhagwan SJ, Sneha J, Singh UB, et al. Effect of antitubercular therapy on endometrial function in infertile women with female genital tuberculosis. Infect Disord Drug Targets, 2016; 16, 101−8. doi:  10.2174/1871526516666151223103534
    [27] Mondal SK. Histopathologic analysis of female genital tuberculosis: a fifteen-year retrospective study of 110 cases in eastern India. Turk Patoloji Derg, 2013; 29, 41−5.
    [28] Zhang L, Wei Z, Liu P. Factors affecting the clinical pregnancy rate in an in vitro fertilization and embryo transfer program. Chin J Obstet Gynecol, 1998; 33, 727−30.
    [29] Chen ZJ, Liu JY, Huang HF, et al. Guideline on diagnosis of infertility. Zhonghua Fu Chan Ke Za Zhi, 2019; 54, 505−11. (In Chinese
    [30] Millington KA, Gooding S, Hinks TS, et al. Mycobacterium tuberculosis-specific cellular immune profiles suggest bacillary persistence decades after spontaneous cure in untreated tuberculosis. J Infect Dis, 2010; 202, 1685−9. doi:  10.1086/656772
    [31] Wigginton JE, Kirschner D. A model to predict cell-mediated immune regulatory mechanisms during human infection with Mycobacterium tuberculosis. J Immunol, 2001; 166, 1951−67. doi:  10.4049/jimmunol.166.3.1951
    [32] Deshpande PS, Gupta AS. Causes and prevalence of factors causing infertility in a public health facility. J Hum Reprod Sci, 2019; 12, 287−93. doi:  10.4103/jhrs.JHRS_140_18
    [33] Sadeghi MR. Unexplained infertility, the controversial matter in management of infertile couples. J Reprod Infertil, 2015; 16, 1−2.
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出版历程
  • 收稿日期:  2020-11-03
  • 录用日期:  2021-01-22
  • 网络出版日期:  2021-02-26
  • 刊出日期:  2021-02-20

Untreated Prior Pulmonary Tuberculosis Adversely Affects Pregnancy Outcomes in Infertile Women Undergoing in vitro Fertilization and Embryo Transfer: A Large Retrospective Cohort Study

doi: 10.3967/bes2021.019
    基金项目:  This work was supported by the National Natural Science Foundation [No. 81400041 and No. 81871212]; the National Natural Science Foundation of China Youth Fund Project [No. 81400038]; and cohort study project of the Peking University Third Hospital [Y70545-04]
    作者简介:

    GAI Xiao Yan, female, born in 1981, MD, majoring in prevention and control of respiratory infectious disease

    CHI Hong Bin, female, born in 1970, MD, majoring in infertility

    ZENG Lin, female, born in 1978, MD, majoring in clinical epidemiology

    通讯作者: QIAO Jie, E-mail: jie.qiao@263.netSUN Yong Chang, E-mail: suny@bjmu.edu.cn

English Abstract

GAI Xiao Yan, CHI Hong Bin, ZENG Lin, CAO Wen Li, CHEN Li Xue, ZHANG Chen, LU Ming, NING Lan Ding, CHANG Chun, ZHANG Wei Xia, LIU Ping, LI Rong, SUN Yong Chang, QIAO Jie. Untreated Prior Pulmonary Tuberculosis Adversely Affects Pregnancy Outcomes in Infertile Women Undergoing in vitro Fertilization and Embryo Transfer: A Large Retrospective Cohort Study[J]. Biomedical and Environmental Sciences, 2021, 34(2): 130-138. doi: 10.3967/bes2021.019
Citation: GAI Xiao Yan, CHI Hong Bin, ZENG Lin, CAO Wen Li, CHEN Li Xue, ZHANG Chen, LU Ming, NING Lan Ding, CHANG Chun, ZHANG Wei Xia, LIU Ping, LI Rong, SUN Yong Chang, QIAO Jie. Untreated Prior Pulmonary Tuberculosis Adversely Affects Pregnancy Outcomes in Infertile Women Undergoing in vitro Fertilization and Embryo Transfer: A Large Retrospective Cohort Study[J]. Biomedical and Environmental Sciences, 2021, 34(2): 130-138. doi: 10.3967/bes2021.019
    • Tuberculosis (TB), caused by Mycobacterium tuberculosis, is a major infectious disease that seriously endangers human health[14]. In 2020, the World Health Organization (WHO) reported a global incidence rate of 130 per 100,000 people[1]. China has made substantial progress in tackling the TB epidemic; nevertheless, it still has the third largest number of cases worldwide, with a TB incidence rate of 58 per 100,000 people[1]. A study using interferon-γ release assays (IGRAs) showed that the prevalence of latent TB infection in China was 18.8%[5], whereas the prevalence of prior pulmonary TB (PTB), as assessed by chest X-ray (CXR), was as high as 24.2% in residents aged 50 years and above[6]. TB may cause persistent health impairment even after standard therapy; therefore, the end of a TB course is unlikely to represent the end of its impact on health[2].

      Infertility, with a prevalence of 9%–25% in the general population, is a global public health concern that has been increasing every year[79]. Fallopian tubal obstruction is a common cause, accounting for 20%–30% of infertility cases[10]. Genital TB (GTB) is a common form of extrapulmonary TB secondary to hematogenous spread from foci in the lungs and is an important cause of infertility in women. The fallopian tubes are the most commonly affected sites, followed by the endometrium and ovaries[11, 12]. GTB has no specific clinical symptoms and is difficult to diagnose, and infertility may be the only symptom of the disease[11, 13]. The pregnancy outcome of GTB patients may be improved after anti-TB treatment[14].

      In vitro fertilization and embryo transfer (IVF-ET) is widely used as infertility treatment, through which more than 5 million infants have been born worldwide[15]. Following the WHO recommendation of integrating TB screening and investigating reproductive health services in TB-prevalent regions, routine CXR examination is performed before IVF-ET in China to screen for active TB[16]. Lesions indicative of prior PTB, such as upper lung (calcified) nodule(s), fibrotic scars, and/or pleural thickening, are commonly found on CXR examinations[17]; nonetheless, many patients do not recall clinical symptoms of PTB, and no anti-TB therapy has been provided. There has been no literature report on whether untreated prior PTB on CXR would affect pregnancy outcome after IVF-ET. Also, it remains controversial whether preventive anti-TB treatment is required before IVF-ET for those with untreated prior or 'spontaneously healed' PTB.

      Therefore, we performed a retrospective analysis of a large cohort of infertile women receiving IVF-ET to determine whether untreated prior PTB diagnosed by CXR could affect pregnancy outcomes.

    • This was a retrospective cohort study of patients who had undergone IVF-ET for infertility from January 1 to December 31, 2017, at Peking University Third Hospital, a tertiary referral hospital in Beijing, China. A total of 15,036 patients who had received IVF-ET cycles in the hospital’s reproductive center were screened. All patients had received CXR examinations before IVF-ET at the Peking University Third Hospital or other hospitals. To ensure consistency in CXR quality, we selected 14,254 patients (95.0%) whose CXR examinations were conducted in the aforementioned hospital. Based on the CXR results, patients were grouped into the prior PTB [1,487/14,254 (10.4%)] and non-PTB [12,767/14,254 (89.6%)] groups (Figure 1). Patients with active TB were excluded. Moreover, in the prior PTB group, 248 patients with a history of anti-TB therapy were excluded, and 1,239 untreated patients were enrolled for analysis. Additionally, 1,013 (81.8%) of 1,239 patients in the untreated prior PTB group and 9,673 (75.8%) of 12,767 in the non-PTB group had received endometrial biopsy before IVF-ET cycles, and no endometrial TB was detected. The remaining patients had not received an endometrial biopsy because of regular menstruation and normal B-mode ultrasound findings.

      Figure 1.  Flow of protocol and outcome. IVF-ET, in vitro fertilization and embryo transfer; CXR, chest X-ray; PTB, pulmonary tuberculosis; PUTH, Peking University Third Hospital

      Prior PTB was defined as the presence of radiological signs indicative of old or inactive PTB[6, 17, 18], including upper lung discrete linear or reticular fibrotic scars, sclerotic or calcified foci, and pleural thickening with or without calcification of hilar or mediastinal lymph nodes. A distinct TB history was not necessary for this definition. Patients with sarcoidosis, other granulomatous diseases, infections, tumors, or occupation-related lung diseases were excluded. A TB specialist was consulted for CXR evaluation, and a chest radiologist and a respiratory specialist confirmed all CXR results.

      From the case registration research database, detailed information on infertile patients who had undergone IVF-ET in the reproductive center was obtained, including age, body mass index (BMI), infertility years, infertility causes, and baseline hormone levels, such as follicle-stimulating hormone (FSH), luteinizing hormone (LH), estradiol (E2), progesterone (P), and anti-Müllerian hormone on the second day of the menstrual cycle. Furthermore, controlled ovarian hyperstimulation (COH) protocol, follicles after oocyte promotion, and endometrial thickness and pattern on the day of human chorionic gonadotropin (HCG) administration were recorded. A special team was assigned to follow the pregnancy outcomes.

      This retrospective analysis was performed in accordance with The Code of Ethics of the World Medical Association (Declaration of Helsinki) and was approved by the Ethics Committee of Peking University Third Hospital [approval number: (2019)327-02; approval date: June 14, 2019]. The need for informed consent was waived.

    • According to the WHO manual for the standardized investigation and diagnosis of infertile couples, the causes of infertility were classified as male causes, female fallopian tubal ovulation, polycystic ovary syndrome, and endocrine disorders. Some patients had two or more causes of infertility. Unexplained infertility (UI) was considered after common causes were excluded[19]. The cause of infertility was recorded and classified for each patient.

    • All patients underwent a standardized COH protocol, oocyte retrieval, fertilization, and embryo transfer[20]. In short, the COH protocol was performed as described previously[20]. The four sex hormones (FSH, LH, E2, and P) and antral follicle numbers were examined on the second and third days of the menstrual cycle. All embryos were transferred on the third day after oocyte pickup. From the day of embryo transfer (ET), vaginal progesterone (8% Crinone vaginal gel, Merck-Serono, Switzerland) was used daily to provide routine luteal support to maintain lutein function until the 10th week of pregnancy. Serum HCG was detected on day 14 after transplantation; if the pregnancy was confirmed, HCG was detected again on day 21 after transplantation, and the pregnancy sac and fetal heartbeat were examined using ultrasound on days 30 and 37, respectively, after transplantation.

    • The primary outcome was the live birth rate. Live birth was defined as the delivery of a living fetus (or living fetuses) beyond 28 weeks’ gestation (calculated as live birth per embryo transfer). The secondary outcomes were clinical pregnancy and miscarriage rates. Clinical pregnancy was defined as fetal cardiac activity at 30 days after the ET procedure, detected through sonography (calculated as clinical pregnancy per embryo transfer). Miscarriage was defined as pregnancy loss before 28 weeks’ gestation (calculated among women who became pregnant).

    • The sample size was calculated based on the sample size requirement of multivariate logistic regression. According to the number of events per variable in the multivariate logistic regression model[21], 10 events were required for each variable in the logistic regression model. We explored the effect of untreated prior PTB on pregnancy outcomes after adjustment for age, BMI, endometrial thickness, number of good-quality embryos per cycle, COH protocol, and infertility causes; and among these, the COH protocol and infertility causes were divided into several dummy variables. There were 19 variables (including the dummy variables) in the logistic regression model, and at least 190 live birth events were required. The live birth rate in our study center ranged from 30% to 35%[20], and therefore, 633 cases were needed to be included in the study. Taking the statistical power of subgroup analysis and design effect into account, 1,266 cases had to be included in this study.

    • Statistical analysis was performed using SPSS version 23 (IBM Corp., Armonk, NY, USA). Continuous variables are expressed as mean ± standard deviation or as median (interquartile range) and analyzed using independent-sample t-tests or the Mann-Whitney U test, as appropriate. Categorical variables, such as infertility cause and COH protocol, were summarized with numbers and proportions and analyzed using the chi-square test.

      Given the complexity of the process of IVF-ET and pregnancy, several factors might affect pregnancy outcomes; hence, multivariate logistic regression was used to assess the effects of exposure factors on the primary and secondary outcomes. Pregnancy outcomes, including the clinical pregnancy, miscarriage, and live birth rates, were the dependent variables in the logistic regression model, whereas age, BMI, COH protocol, endometrial thickness, number of good-quality embryos per cycle, and CXR with or without untreated prior PTB were the independent variables. To explore the different effects of untreated prior PTB on pregnancy outcomes, subgroup analyses were conducted. Based on infertility causes, the patients were divided into nine subgroups, and multivariate logistic regression was also performed in these subgroup analyses. Adjusted odds ratios (ORs), 95% confidence intervals (CIs), and P-values were reported. A two-tailed P-value of < 0.05 was considered statistically significant.

    • A total of 14,254 women (mean age, 33.1 years; range, 20–50 years) who were referred to the reproductive center between January 1 and December 31, 2017, were enrolled in this study (Figure 1 and Supplementary Figure S1 available in www.besjournal.com). Based on CXR findings, 1,487 (10.4%) had signs of prior PTB and were assigned to the prior PTB group, whereas 12,767 (89.6%) were assigned to the non-PTB group. In the prior PTB group, 248 (16.7%) were excluded because of a history of anti-TB therapy, and the remaining 1,239 (83.3%) patients without such a history were assigned to the untreated prior PTB group. One patient in the untreated PTB group had a fever at 12 weeks of pregnancy and was confirmed to have acute miliary TB. Pregnancy was terminated due to spontaneous abortion.

      Figure S1.  Patients' residence (n = 14,254)

      We compared the baseline characteristics of patients in the untreated prior PTB (n = 1,239) and non-PTB (n = 12,767) groups who had received COH (Supplementary Table S1 available in www.besjournal.com). We also compared patients in the untreated prior PTB (n = 791) and non-PTB (n = 7,807) groups who had received ET (Table 1). The results of the comparative analysis for these two groups were similar (Table 1 and Supplementary Table S1). Patients in the untreated prior PTB group were older (34.8 ± 5.0 vs. 33.0 ± 5.0 years), had longer infertile periods (4.6 ± 4.0 vs. 4.3 ± 3.7), and had lower BMI values (22.6 ± 3.5 vs. 23.1 ± 3.8) than those in the non-PTB group (all P < 0.05; Table 1). Tubal factors were the most common cause of infertility in both groups, and the proportion of tubal factors as an infertility cause was higher in the untreated prior PTB group than in the non-PTB group. The untreated prior PTB group had lower numbers of total follicles (10.1 ± 5.4 vs. 11.1 ± 5.5), retrieved oocytes (9.3 ± 4.9 vs. 10.0 ± 5.2), and good-quality embryos per cycle compared with the non-PTB group [3.0 (1.0, 5.0) vs. 3.0 (2.0, 6.0); all P < 0.05; Table 1].

      Table S1.  Characteristics of the total infertile patients at baseline

      CharacteristicsUntreated Prior-PTB Group (n = 1,239)Non-PTB Group (n = 12,767)P Value
      Age (years)34.4 ± 5.232.9 ± 5.1< 0.001*
      Body mass index, kg/m222.5 ± 3.622.9 ± 3.7< 0.001*
      Duration of infertility (years)4.8 ± 4.14.2 ± 3.7< 0.001*
      Causes of infertility, no. (%)0.005*
      Female factors
       Fallopian tube factor345 (23.2)2,312 (18.1)
       PCOS133 (10.8)1,391 (10.9)
       Endometriosis18 (1.5)179 (1.4)
       Mixed female factors178 (14.4)1,542 (12.1)
       Other female factors46 (3.7)590 (4.6)
      Male factors
       Oligospermia/asthenospermia131 (10.6)1,549 (12.1)
       Other male factors62 (5.0)2,312 (18.1)
       Mixed female and male factors281 (22.7)2,778 (21.8)
       Unexplained infertility131 (10.6)1,570 (12.3)
      COH protocol< 0.01*
       Ultralong GnRH agonist125 (10.1)1,433 (11.2)
       Short GnRH agonist47 (3.8)417 (3.3)
       GnRH antagonist633 (51.1)6,730 (52.7)
       Microsimulation cycle82 (6.6)512 (4.0)
       Long GnRH agonist339 (27.4)3,498 (27.4)
       Natural or other13 (1.0)177 (1.4)
      Basic hormone
       FSH, mIU/mL6.3 (4.6–8.3)6.2 (4.6–7.9)0.024*
       LH, mIU/mL3.2 (2.0–4.9)3.3 (2.0–5.0)0.197
       E2, pg/mL156.0 (117.0–200.0)158.0 (119.0–203.0)0.440
       P, nmol/L1.0 (0.8–1.4)1.1 (0.8–1.5)0.289
       AMH, ng/mL2.2 (1.0–4.2)2.4 (1.1–4.5)0.051
      Total sinus follicles10.7 ± 6.011.8 ± 5.9< 0.001*
      No. of retrieved oocytes11.0 ± 7.412.2 ± 8.2< 0.001*
        Note. Mixed female factors, mixed with two or more female infertile factors. Mixed female and male factors, mixed with two or more infertile factors of both sexes.
      Abbreviations: PTB, pulmonary tuberculosis; BMI, body mass index; PCOS, polycystic ovary syndrome; COH, controlled ovarian hyperstimulation; FSH, follicle-stimulating hormone; LH, luteinizing hormone; E2, estradiol; P, prolactin; AMH, anti-Müllerian hormone.
      *P < 0.05.

      Table 1.  Characteristics of infertile patients who underwent ET cycles

      CharacteristicsUntreated prior-PTB group (n = 791)Non-PTB group (n = 7,807)P value
      Age (years)34.8 ± 5.033.0 ± 5.0< 0.001a
      BMI, kg/m222.6 ± 3.523.1 ± 3.8< 0.001a
      Duration of infertility (years)4.6 ± 4.04.3 ± 3.70.017a
      Causes of infertility, no. (%)0.081
       Female factors
        Fallopian tube factor185 (23.4)1,582 (20.3)
        PCOS60 (9.8)799 (10.3)
        Endometriosis10 (1.3)108 (1.4)
        Mixed female factors113 (14.3)906 (11.6)
        Other female factors20 (2.5)241 (3.1)
       Male factors
        Oligospermia/asthenospermia92 (11.6)1,023 (13.1)
        Other male factors39 (4.9)512 (6.6)
       Mixed female and male factors170 (21.5)1,682 (21.5)
       Unexplained infertility84 (10.6)954 (12.2)
      COH protocol0.034a
       Ultralong GnRH agonist85 (10.7)939 (12.0)
       Short GnRH agonist31 (3.9)251 (3.2)
       GnRH antagonist404 (51.1)4,119 (52.8)
       Microsimulation cycle39 (4.9)227 (2.9)
       Long GnRH agonist228 (28.8)2,225 (28.5)
       Natural or other4 (0.5)46 (0.6)
      Baseline hormone
       FSH, mIU/mL6.3 (4.6–8.2)6.3 (4.7–7.9)0.328
       LH, mIU/mL3.1 (1.9–4.6)3.2 (2.0–4.7)0.191
       E2, pg/mL156.0 (119.0–202.0)158.0 (120.0–203.0)0.582
       P, nmol/L1.0 (0.8–1.4)1.1 (0.8–1.5)0.040a
      AMH, ng/mL2.1 (1.1–3.5)2.2 (1.1–3.9)0.143
      No. of total sinus follicles10.1 ± 5.411.1 ± 5.5< 0.001a
      No. of retrieved oocytes9.3 ± 4.910.0 ± 5.2< 0.001a
      Endometrial thickness (mm)10.78 ± 1.7110.74 ± 1.750.534
      Endometrial pattern0.095
       A702 (88.7)6,721 (86.1)
       A–B3 (0.4)34 (0.4)
       B77 (9.7)991 (12.7)
       C0 (0.0)2 (0.0)
      No. of good-quality embryos per cycleb3.0 (1.0, 5.0)3.0 (2.0, 6.0)< 0.001a
      No. of embryos transferred< 0.001a
       1154 (19.6)1,161 (15.0)
       2630 (80.4)6,593 (85.0)
        Note. Mixed female factors, mixed with two or more female infertile factors. Mixed female and male factors, mixed with two or more factors of infertility of both sexes.
      ET, embryo transfer; BMI, body mass index; PTB, pulmonary tuberculosis; PCOS, polycystic ovary syndrome; COH, controlled ovarian hyperstimulation; GnRH, gonadotropin-releasing hormone; FSH, follicle-stimulating hormone; LH, luteinising hormone; E2, oestradiol; P, prolactin; AMH, anti-Müllerian hormone.
      aP < 0.05.
      bEmbryos were evaluated on the third day after fertilization. All good-quality embryos were developed from two pronuclei zygotes and met the following criteria: (1) more than five blastomeres; (2) size difference of less than 20%; and (3) fragmentation of less than 50%.
      Data on BMI, endometrial thickness, endometrial pattern, and number of embryos transferred were missing for 80 cases, 1,418 cases, 68 cases, and 60 cases, respectively, in the general research population.
    • The clinical pregnancy rate was significantly lower in the untreated prior PTB group than in the non-PTB group (31.7% vs. 38.1%, P < 0.001). The miscarriage rate was slightly higher in the prior PTB group than in the non-PTB group; however, the difference was not significant (19.1% and 15.5%, P = 0.135). Additionally, the live birth rate was significantly lower in the untreated prior PTB group than in the non-PTB group (23.8% vs. 30.6%, P < 0.001; Table 2).

      Table 2.  Pregnancy outcomes in the untreated prior-PTB and non-PTB groups

      Pregnancy outcomesUntreated prior-PTB groupNon-PTB groupP value
      Clinical pregnancy ratea31.7% (251/791)38.1% (2,973/7,807)< 0.001d
      Miscarriage rateb19.1% (48/251)15.5% (462/2,973)0.135
      Live birth ratec23.8% (186/782)30.6% (2,375/7,768)< 0.001d
        Note. PTB, pulmonary tuberculosis.
      aClinical pregnancy rate was defined as clinical pregnancy per embryo transfer.
      bMiscarriage rate was defined as miscarriages per clinical pregnancy.
      cLive birth rate was defined as live birth per embryo transfer.
      dP < 0.05.
    • The results indicated that age, BMI, COH protocol, endometrial thickness, and number of good-quality embryos per cycle had significant effects on the clinical pregnancy, miscarriage, and live birth rates (Supplementary Table S2 available in www.besjournal.com). After adjustment for these factors, the results indicated that untreated prior PTB was an independent risk factor for decreased live birth rate (OR, 0.80; 95% CI, 0.66–0.98; P = 0.028) in infertile patients (Table 3 and Supplementary Table S2). Patients with untreated prior PTB tended to have fewer clinical pregnancies and more miscarriages than non-PTB patients; nonetheless, the differences were not statistically significant (P = 0.119 and 0.214, respectively; Table 3 and Supplementary Table S2).

      Table S2.  Multivariate logistic regression analyses for pregnancy outcomes

      OutcomesVariablesOR (95% CI)P value
      Clinical pregnancy (n = 8,593)Untreated prior-PTB vs. non-PTB group0.87 (0.72–1.04)0.119
      Age< 0.001*
      31–35 years vs. ≤ 30 years0.96 (0.86–1.08)0.492
      36–40 years vs. ≤ 30 years0.59 (0.51–0.69)< 0.001*
      41–45 years vs. ≤ 30 years0.25 (0.19–0.32)< 0.000*
      ≥ 46 years vs. ≤ 30 years0.08 (0.02–0.25)< 0.001*
      BMI0.99 (0.98–1.00)0.161
      Endometrial thickness1.08 (1.05–1.12)< 0.001*
      No. of good-quality embryos per cycle1.10 (1.08–1.12)< 0.001*
      COH protocol< 0.001*
      Ultralong GnRH agonist vs. natural1.32 (0.50–3.47)0.578
      Long GnRH agonist vs. natural0.86 (0.32–2.35)0.773
      Short GnRH agonist vs. natural0.82 (0.31–2.14)0.684
      GnRH antagonist vs. natural1.10 (0.40–3.01)0.852
      Microsimulation cycle vs. natural1.18 (0.45–3.08)0.743
      Infertile causes0.177
      Unexplained infertility vs. PCOS1.23 (0.99–1.54)0.068
      Mixed female factors vs. PCOS0.91 (0.72–1.15)0.441
      Mixed female and male factors vs. PCOS1.04 (0.85–1.28)0.715
      Oligospermia/asthenospermia vs. PCOS1.13 (0.91–1.40)0.283
      Other male factors vs. PCOS0.95 (0.68–1.33)0.763
      Other female factors vs. PCOS1.01 (0.78–1.31)0.944
      Fallopian tube factor vs. PCOS1.13 (0.92–1.38)0.263
      Endometriosis0.95 (0.60–1.50)0.826
      Miscarriage (n = 3,222)Untreated prior-PTB vs non-PTB group1.26 (0.87–1.83)0.214
      Age< 0.001*
      31–35 years vs. ≤ 30 years1.07 (0.83–1.39)0.596
      36–40 years vs. ≤ 30 years2.38 (1.76–3.21)< 0.001*
      41–45 years vs. ≤ 30 years5.36 (3.22–8.93)< 0.001*
      ≥ 46 years vs. ≤ 30 years0.999
      BMI1.03 (1.00–1.06)0.048
      Endometrial thickness0.92 (0.87–0.99)0.019*
      No. of good-quality embryos per cycle0.98 (0.95–1.02)0.365
      COH Protocol0.315
      Ultralong GnRH agonist vs. natural0.27 (0.05–1.41)0.119
      Long GnRH agonist vs. natural0.45 (0.08–2.56)0.370
      Short GnRH agonist vs. natural0.29 (0.06–1.50)0.139
      GnRH antagonist vs. natural0.20 (0.03–1.21)0.080
      Microsimulation cycle vs. natural0.29 (0.06–1.52)0.144
      Infertile causes0.237
      Unexplained infertility vs. PCOS1.31 (0.81–2.10)0.269
      Mixed female factors vs. PCOS1.47 (0.90–2.42)0.128
      Mixed female and male factors vs. PCOS0.99 (0.63–1.55)0.958
      Oligospermia/asthenospermia vs. PCOS1.05 (0.65–1.71)0.831
      Other male factors vs. PCOS1.62 (0.83–3.15)0.156
      Other female factors vs. PCOS1.21 (0.67–2.18)0.523
      Fallopian tube factor vs. PCOS0.96 (0.61–1.52)0.865
      Endometriosis1.84 (0.76–4.49)0.178
      Live birth (n = 8,545)Untreated prior-PTB vs. non-PTB group0.80 (0.66–0.98)0.028*
      Age< 0.001*
      31–35 years vs. ≤ 30 years0.95 (0.84–1.07)0.413
      36–40 years vs. ≤ 30 years0.50 (0.43–0.59)< 0.001*
      41–45 years vs. ≤ 30 years0.17 (0.12–0.23)< 0.001*
      ≥ 46 years vs. ≤ 30 years0.997
      BMI0.98 (0.97–1.00)0.009*
      Endometrial thickness1.11 (1.08–1.15)< 0.001*
      No. of good-quality embryos per cycle1.09 (1.07–1.11)< 0.001*
      COH Protocol< 0.001*
      Ultralong GnRH agonist vs. natural2.05 (0.59–7.15)0.262
      Long GnRH agonist vs. natural1.16 (0.32–4.18)0.826
      Short GnRH agonist vs. natural1.32 (0.38–4.57)0.664
      GnRH antagonist vs. natural1.93 (0.53–6.97)0.319
      Microsimulation cycle vs. natural1.87 (0.54–6.51)0.324
      Infertile causes0.073
      Unexplained infertility vs. PCOS1.20 (0.95–1.53)0.131
      Mixed female factors vs. PCOS0.86 (0.67–1.11)0.250
      Mixed female and male factors vs. PCOS1.08 (0.86–1.35)0.522
      Oligospermia/asthenospermia vs. PCOS1.15 (0.91–1.46)0.237
      Other male factors vs. PCOS0.88 (0.61–1.28)0.505
      Other female factors vs. PCOS1.01 (0.77–1.34)0.924
      Fallopian tube factor vs. PCOS1.17 (0.93–1.46)0.180
      Endometriosis0.93 (0.57–1.52)0.768
        Note. Abbreviations: PTB, pulmonary tuberculosis; BMI, body mass index; PCOS, polycystic ovary syndrome; COH, controlled ovarian hyperstimulation; PCOS, polycystic ovary syndrome.
      *P < 0.05.

      Table 3.  Multivariable logistic regression analyses for pregnancy outcomes

      VariableClinical pregnancy rate (n = 8,598)Miscarriage rate (n = 3,222)Live birth rate (n = 8,545)
      OR (95% CI)P valueOR (95% CI)P valueOR (95% CI)P value
      Untreated prior PTB vs. non-PTB0.87 (0.72–1.04)0.1191.26 (0.87–1.83)0.2140.80 (0.66–0.98)0.028a
        Note. Factors were adjusted for age, BMI, infertile causes, controlled ovarian hyperstimulation protocol, endometrial thickness, and number of good-quality embryos per cycle.
      OR, odds ratio; CI, confidence interval; PTB, pulmonary tuberculosis; BMI, body mass index.
      aP < 0.05.
    • In the UI subgroup, untreated prior PTB was shown to be a risk factor for increased miscarriage (OR, 4.19; 95% CI, 1.69–10.39; P = 0.002) and decreased live birth (OR, 0.45; 95% CI, 0.24–0.83; P = 0.011) rates (Table 4).

      Table 4.  Correlation analysis between untreated prior PTB revealed by chest X-ray and pregnancy outcomes in different infertile populations

      Different infertile populationsClinical pregnancy rateMiscarriage rateLive birth rate
      nORP valuenORP valuenORP value
      General research population7,1670.87 (0.72, 1.04)0.1192,7031.26 (0.87, 1.83)0.2147,1240.80 (0.66, 0.98)0.028a
      Fallopian tube factor1,4590.75 (0.52, 1.08)0.1245951.14 (0.51, 2.53)0.7531,4450.68 (0.46, 1.02)0.059
      PCOS6971.04 (0.55, 1.94)0.9122051.38 (0.36, 5.27)0.6376930.81 (0.39, 1.70)0.576
      Endometriosis1011.10 (0.17, 6.94)0.923370.9991011.90 (0.27, 13.46)0.520
      Oligospermia/asthenospermia1,0080.61 (0.36, 1.01)0.0544211.43 (0.43, 4.77)0.5611,0010.62 (0.36, 1.08)0.092
      Unexplained infertility9150.73 (0.44, 1.22)0.2293814.19 (1.69, 10.39)0.002a9110.45 (0.24, 0.83)0.011a
      Mixed female factors7791.13 (0.66, 1.92)0.6672500.36 (0.09, 1.44)0.1487741.42 (0.81, 2.51)0.224
      Mixed female and male factors1,5221.03 (0.70, 1.53)0.8745480.99 (0.41, 2.40)0.9811,5161.09 (0.71, 1.67)0.682
      Other female factors2212.02 (0.65, 6.24)0.224774.52 (0.62, 33.25)0.1382190.75 (0.20, 2.77)0.661
      Other male factors4650.86 (0.38, 1.93)0.7081891.28 (0.23, 6.95)0.7784640.83 (0.35, 1.97)0.680
        Note. Factors were adjusted for age, BMI, and controlled ovarian hyperstimulation protocol. OR, odds ratio; PTB, pulmonary tuberculosis; BMI, body mass index. PCOS, polycystic ovary syndrome; aP < 0.05.
      Data on BMI, endometrial thickness, endometrial pattern, and number of embryos transferred were missing for 80, 1,418, 68, and 60 cases, respectively, in the general research population.
    • In this large study sample involving more than 10,000 infertile patients receiving IVF-ET, the clinical pregnancy and live birth rates after IVF-ET were significantly lower in patients with untreated prior PTB on CXR than in those without signs of prior PTB. Additionally, untreated prior PTB was an independent risk factor for decreased live birth rate.

      In this study, the prevalence of prior PTB diagnosed by CXR in women with infertility (age, 20–50 years) was 10.4% (1,487/14,254), which was higher than that reported in a general population of a similar age[22]. A report of CXR screening of 13,110 applicants living abroad showed that the prevalence of prior PTB was 2.9% among those aged 15 years and above, 1.6% for aged 35–45 years, and 13.3% for aged 60 years and above[22]. The prevalence of TB varies according to regional distributions, ages, and occupations[2325]. Our results here indicated that infertile patients had a higher prevalence of prior PTB, and 83.3% of those with prior PTB denied having a history of TB and/or anti-TB therapy.

      Age, BMI, COH protocol, endometrial thickness, number of good-quality embryos per cycle, and untreated prior PTB were significantly associated with pregnancy outcomes in the logistic regression model. It is worth noting that untreated prior PTB was an independent risk factor for decreased live birth rate after adjustment for the abovementioned variables. This is an important finding of our study, and we believe that GTB may be present in some of these patients. TB is an important cause of infertility, and previous studies reported that approximately 10%–20% of TB patients had GTB[11, 13, 26]. GTB is rare in developed countries but common in developing countries[27, 28]. A retrospective analysis of infertility causes in our hospital in 1998 showed that tubal blockage due to GTB accounted for 28.4% of infertility patients[28]. GTB in women is a chronic disease with mild symptoms and most commonly involves the fallopian tubes, causing tubal adhesion or obstruction, thereby leading to infertility. GTB may also have endometrial involvement, resulting in poor endometrial receptivity and difficult implantation. Additionally, ovarian involvement of GTB may lead to ovarian dysfunction, thus hampering fertilization. GTB diagnosis is generally established by surgery, such as laparoscopic or hysteroscopic biopsy, based on microbiological or histopathological features of the disease. In this study, 1,013 (81.8%) of 1,239 patients in the untreated prior PTB group and 9,673 (75.8%) of 12,767 patients in the non-PTB group had received endometrial biopsy before IVF-ET cycles, and endometrial tuberculosis was excluded. However, laparoscopy and hysteroscopy are not widely available because of their invasive nature; thus, the Chinese infertility guidelines do not routinely recommend these procedures[29]. Therefore, in our retrospective analysis, the presence of GTB in patients with prior PTB was unclear, which is a limitation of this study. Furthermore, TB-specific cellular immunity may be persistent after spontaneous cure in untreated TB[30, 31], and it is unknown how this would affect pregnancy outcomes.

      It is notable that our cohort had 1,038 UI patients (84 in the untreated prior PTB group and 954 in the non-PTB group), which accounted for 12.1% of the total 8,598 infertility infertile patients (791 in the untreated prior PTB group and 7,807 in the non-PTB group; Table 1). Regression analysis showed that untreated prior PTB was an independent factor for pregnancy outcomes in UI patients and would lead to increased miscarriage and decreased live birth rates. This important finding suggests that TB is an important risk factor for UI, which accounts for 10%–30% of the causes in infertile patients, even after carefully evaluating and screening known infertility causes[19]. TB may be an important cause that could be misdiagnosed as UI in some patients, especially in those with unobstructed fallopian tubes, for which anti-TB therapy may help improve pregnancy outcomes[32, 33].

      Our study has several limitations. First, this was a single-center study; however, as the largest reproductive center in China, we performed more than 10,000 IVF-ET cycles annually with patients from all over the country. Therefore, the population in this study was representative. Second, because of the retrospective design of this study, we could not match the two groups for all potentially important variables that might be related to pregnancy outcomes. Nevertheless, after adjustment for these variables, the results indicated that untreated prior PTB was an independent risk factor for decreased live birth rate. Third, some other demographic or sociological factors, such as education and economic status, may also affect pregnancy outcomes, but we did not have all these data available. Further prospective studies are required to confirm our present findings. Meanwhile, we also performed a prospective cohort study (NCT04443283) to compare pregnancy outcome differences between IGRA positive and negative groups.

      In conclusion, our study revealed a high prevalence of prior PTB among infertile patients in China and showed that untreated PTB was associated with adverse pregnancy outcomes after IVF-ET, especially in UI patients.

      The funding bodies had no role in designing the study, collecting, analyzing, and interpreting the data, writing the report, and deciding to submit the article for publication.

    • All authors declare no conflict of interest.

    • We are indebted to the patients who participated in this study.

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