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Obstet Gynecol Sci > Volume 69(4); 2026 > Article
Budde, Papert, Jordan, Valk, Pollok-Kopp, Goldmann, Leha, Vokuhl, and Legler: A substantial proportion of patients with recurrent implantation failure treated with partner lymphocyte immunotherapy achieved live birth within 3 years after immunization

Abstract

Objective

In the 1980s, the immunotolerance-inducing effect of leukocytes in blood products was observed and our department started using partner lymphocyte immunotherapy (LIT) for patients experiencing recurrent miscarriage. We also used LIT for couples with unexplained infertility who had undergone at least three unsuccessful embryo transfers. The aim of this study was to analyze the live birth rate after LIT in our patient cohort with recurrent implantation failure.

Methods

From 2017 to 2022, we conducted a prospective, noninterventional, observational study of patients who received a questionnaire two to 3 years after LIT. We also performed T- and B-cell crossmatches, human leukocyte antigen (HLA) typing, and complement-dependent cytotoxicity assays.

Results

We sent questionnaires to 475 couples with unexplained infertility and received 268 responses. A total of 157 live births (58.6%) within 3 years of LIT were reported. We identified a higher proportion of HLA-crossmatch-positive cases in the live birth group (71.8%) than in the group without live births (59.5%). The median age was 34 years in the live birth group and 36 years in the group without live births. We observed no significant influence of additional therapies including immunoglobulins, corticosteroids, anticoagulants, granulocyte colony-stimulating factor, or lipid infusions.

Conclusion

In our patient cohort, we observed an substantial proportion of patients giving live birth within 3 years after LIT. An individual treatment decision is required for each patient, as the efficacy of LIT in patients with unexplained infertility needs to be proven in a controlled, randomized study in the future.

Introduction

Modern reproductive immunology emerged in the 1950s and there are still several major challenges to address [1]. Among these challenges, we have focused on understanding the causes of recurrent miscarriage and recurrent implantation failure. Recurrent miscarriage affects approximately 1-3% of couples, and the World Health Organization (WHO) defines it as at least three consecutive miscarriages with a gestational age of less than 20 weeks [2,3]. The term “recurrent implantation failure” describes the situation in which embryo transfers in assisted reproductive technology do not lead to clinical pregnancy. Although several definitions exist, recurrent implantation failure is generally defined as the failure to achieve a clinical pregnancy after two to three embryo transfers with good-quality embryos in women of advanced maternal age [4].
In recurrent miscarriage, several causes are thought to play an important role in its pathogenesis. Among these, chromosomal abnormalities, infections such as toxoplasmosis and chlamydia, endocrine diseases, coagulation disorders, uterine anomalies, and autoimmune diseases are considered the main contributing factors [5]. The risk factors for recurrent implantation failure are similar and include auto- and alloimmune factors, uterine anomalies and other uterine pathologies, infectious agents, psychological stress, and maternal age [6,7]. It is important to note, however, that the causes remain unclear in 40-50% of cases despite comprehensive clinical evaluation [2,8].
Several immune interventions are used to treat unexplained reproductive failure. The most important include lymphocyte immunotherapy (LIT), intravenous immunoglobulin administration, corticosteroids, lipid emulsion therapy, granulocyte colony-stimulating factor (G-CSF), and tumor necrosis factor inhibitors [8]. However, there is still no consensus in current official guidelines regarding the clinical use of any of these therapies.
LIT was first proposed as a treatment for recurrent miscarriage in 1981 by Taylor and Faulk [9]. A decade later, Hasegawa et al. [10] also proposed LIT as a treatment for recurrent implantation failure. LIT is based on the isolation of lymphocytes from the male partner. Subsequently, the lymphocytes are injected intradermally into the female partner to induce immune tolerance to the paternal antigens of the embryo. This approach may be important when the female immune system does not tolerate the paternal antigens of the semi-allogeneic embryo. The mechanisms underlying LIT include the induction of immune tolerance by decreasing Th17 cell numbers, NK cell cytotoxicity, and pro-inflammatory cytokine levels, while simultaneously increasing regulatory T cells and anti-inflammatory cytokines [11,12]. Consistent with these proposed immunological mechanisms, several meta-analyses have shown a therapeutic effect of LIT for couples experiencing recurrent miscarriage [8,13,14].
However, the majority of published studies have evaluated LIT as a treatment for recurrent miscarriage. In contrast, LIT has been investigated less frequently as a treatment for recurrent implantation failure, which motivated us to evaluate its efficacy in this patient population. It is important to note that LIT is associated with mild localized adverse reactions, making it a safe and well-tolerated therapeutic intervention [15].
In this study, we present the results of a prospective study investigating the clinical effectiveness of LIT in 268 couples with a history of recurrent implantation failure. The couples were treated with LIT at our Transfusion Medicine Center. The live birth rate and potential influencing factors, such as female age, human leukocyte antigen (HLA) matching between partners, lymphocyte crossmatch reactions, complement-dependent cytotoxicity (CDC) assays after LIT, and additional therapies received by the couples, were analyzed. Most importantly, we observed a live birth rate of 59% 2 to 3 years after LIT in women with recurrent implantation failure.

Materials and methods

1. Patient characteristics

In this prospective, noninterventional, observational study, we included couples with recurrent implantation failure who received LIT between 2017 and 2022. Patients with recurrent pregnancy loss were not included. The study was conducted in accordance with the Declaration of Helsinki and was approved by the local ethics committee of the University Medical Center Göttingen (approval no. 21/7/20). Informed consent was obtained from all couples.

2. Indications for LIT

In this study, there was one indication for LIT: unexplained infertility, defined as at least three embryo transfers after in vitro fertilization (IVF)/intracytoplasmic sperm injection without evidence of implantation or with an early miscarriage before the 12th week of pregnancy.

3. Contraindications for LIT

Autoimmune diseases in female patients, such as antiphospholipid syndrome, Guillain-Barré syndrome, vasculitis, and myasthenia gravis, were contraindications for LIT. Pregnancy at the time of therapy was also a contraindication. Male partners were required to meet blood donor eligibility criteria according to German legislation.

4. LIT

On the day of LIT, the female patient was required to undergo a urine human chorionic gonadotropin pregnancy test. The male partner was required to meet donor eligibility criteria according to the German Guidelines for Blood Donors, as blood donation for LIT is considered an allogeneic blood donation by local and national regulatory authorities. A total of 100 mL of whole blood was collected into perfusor syringes containing heparin (5,000 international units of heparin sodium) to prepare the lymphocyte concentrate. Lymphocytes were isolated in a clean room by density gradient centrifugation (Ficoll-Paque Premium, Cytiva Europe, Freiburg, Germany). Erythrocytes were lysed using 1-2 mL of aqua ad iniectabilia. The cells were resuspended in 2.5 mL of 0.9% sodium chloride. A total of 1.6 mL of this suspension was transferred into a syringe for therapy. After isolation, the lymphocyte concentrate containing 1-7×107 mononuclear cells per dose was injected intradermally into the patient’s forearm.

5. T-cell and B-cell lymphocyte crossmatch

T- and B-cell lymphocyte crossmatches were performed using patient serum and partner-derived lymphocytes before therapy and again 4 weeks after each immunization. The complement used was obtained from BAG Diagnostics GmbH (BAG Diagnostics GmbH, Lich, Germany). The results were analyzed using a fluorescence microscope (ZEISS Axiovert 100, ZEISS, Oberkochen, Germany) and the Lambda Scan System (Thermo Fisher Scientific, Waltham, MA, USA). Based on the percentage of lysed cells, a score of 1-8 was assigned to each well, and the mean score was used to classify the crossmatch as positive (mean score 6-8), weakly positive (mean score 3-4), borderline (mean score 2), or negative (mean score 1).

6. HLA-typing

The patient and her partner were both typed for the HLA loci HLA-A, HLA-B, HLA-C, HLA-DRB1, and HLA-DQB1 before the first immunization. HLA typing was performed using Sanger sequencing. DNA was isolated using the Maxwell 16 Blood Purification Kit (Promega, Madison, WI, USA). Sequencing was performed by SeqLab/Microsynth GmbH (SeqLab/Microsynth GmbH, Göttingen, Germany). Data were analyzed in our laboratory using HiType Software (Avalas, Isernhagen, Germany).

7. CDC assay

A CDC assay was performed for HLA class I antibody screening before therapy using blood samples collected 4 weeks after each immunization. CDC antibody testing was performed using the SeraScreen Abs Test Kit (BAG Diagnostics GmbH).

8. Bead based antibody detection for HLA class II antibodies

After therapy, a microbead-based antibody identification assay for HLA class II antibodies was performed if the final B-cell crossmatch was positive. For antibody detection, the LABScreen Single Antigen Class II One Lambda Test Kit (Thermo Fisher Scientific) was used. The test was performed using the LABScan 3D Flow Analyzer, One Lambda (Thermo Fisher Scientific).

9. Questionnaire

At least 2 years after the final LIT cycle, we sent a questionnaire to the couples. We inquired about whether they had achieved a live birth and whether they had received any additional therapies. Specifically, we collected information on the use of immunoglobulins, lipid infusion, G-CSF, acetylsalicylic acid (ASA), other anticoagulants, and corticosteroids.

10. Statistics

Results from two complete-case analyses are presented. We used a multivariable logistic regression model with likelihood ratio chi-square estimates and Wald chi-square test P-values to analyze the association between female age, crossmatch and CDC antibody results, LIT cell dose (score), number of HLA matches and blood type and live birth within 2-3 years after LIT. These variables were selected based on clinical relevance, and no data-driven variable selection was performed. Missing values for concomitant interventions were addressed by performing a second multivariable logistic regression. This model included both the six variables described above and variables representing concomitant interventions (ASA, lipid infusion, immunoglobulins, corticosteroids, G-CSF, and anticoagulants other than ASA). Due to missing values in the questionnaire regarding concomitant interventions, only 209 cases could be analyzed using this model. P-values ≤0.05 were considered statistically significant. All analyses were performed with the Statistical Software R version 4.2.3 (R Core Team, Vienna, Austria).

Results

1. Descriptive statistics

A total of 475 couples with unexplained infertility were enrolled in our study and we received responses from 268 couples (56.4%). At the time of LIT, the age of the female partners ranged from 27 to 43 years, whereas that of the male partners ranged from 27 to 58 years. Descriptive statistics for all study variables are presented in Table 1. Among the participants, 157 women achieved a live birth within 3 years after LIT. We also compared the live birth and no live birth groups according to female age, the number of HLA matches between partners, female blood type, the LIT cell dose, and the results of the CDC assay, T-cell crossmatch, and B-cell crossmatch (Table 1). In addition to the laboratory parameters, the questionnaire collected information on additional therapies, including lipid infusion, immunoglobulins, G-CSF, corticosteroids, ASA, and other anticoagulants (Table 1).

2. Main increase of live births within 24 months of LIT

Among the 268 women, 157 (58.6%) achieved a live birth within the 3-year observation period (Fig. 1). The first live births occurred 8 months after the last LIT cycle. Thereafter, the cumulative live birth rate increased steadily, reaching 50% within 24 months after LIT. After 24 months, the number of additional live births declined markedly, resulting in a final cumulative live birth rate of 58.6% within 36 months.

3. Age and blood group distribution of women

The women’s age at the time of treatment ranged from 27 to 43 years (Table 1). The median age of the women who achieved a live birth after LIT was 34 years, whereas the median age of women who did not achieve a live birth was statistically significantly higher, at 36 years (P=0.03; Tables 1, 2). There was no statistically significant difference in the distribution of the female blood groups A, B, AB, and O (P=0.71; Table 2).

4. HLA antibodies and HLA matching

A positive lymphocyte crossmatch was significantly associated with live birth (P=0.02; Table 2). Among 71.8% of the couples who achieved a live birth after LIT, at least one positive T- or B-cell crossmatch was detected (Fig. 2A). The remaining 28.2% of couples who achieved a live birth had neither a positive T-cell nor B-cell crossmatch. In contrast, 40.5% of couples who did not achieve a live birth after LIT had neither a positive T-cell nor B-cell crossmatch (Fig. 2A).
We also performed CDC assays approximately 4 weeks after LIT. We observed a marginal, although not statistically significant, trend toward an association between live birth and positive cytotoxic HLA antibody tests (P=0.17; Table 2). Among the couples who achieved a live birth, 56.7% had a positive cytotoxic HLA antibody test after LIT, whereas 53.3% of those who did not achieve a live birth tested positive in the CDC assay (Fig. 2B).
In addition, we examined the HLA-A, HLA-B, HLA-C, HLA-DRB1, and HLA-DQB1 alleles of the female and male participants. We analyzed the number of matching HLA-A, HLA-B, HLA-C, HLA-DRB1, and HLA-DQB1 alleles in couples with and without live births but did not find a significant difference between the two groups in the number of HLA matches (P=0.64; Table 2).

5. Impact of additional therapies on the live birth rate

We asked whether the women received immunoglobulins, corticosteroids, G-CSF, ASA, or other anticoagulants, or received lipid infusions. Responses were missing for 23-44 cases, depending on the questionnaire item. None of the six aforementioned therapies showed a statistically significant association with the live birth rate (Table 3). However, women who received ASA showed a nonsignificant trend toward achieving a live birth after LIT (P=0.12; Table 3). Among women who did not achieve a live birth after LIT, 35.1% received ASA, whereas 41.0% of women who achieved a live birth received ASA (Fig. 3).

6. Significance of cell dose for LIT

In most cases, we performed two cycles of lymphocyte therapy. During each treatment cycle, 1×107-7×107 paternal lymphocytes were injected into the female partner. The number of cells injected depended on the donor’s lymphocyte count and the manufacturing process. We developed a scoring system based on the total number of injected cells for each couple. Each complete increment of 1×107 injected cells was assigned one point. For example, a first treatment cycle with 2.3×107 cells (two points) and a second treatment cycle with 4.5×107 cells (four points) resulted in a total score of six points. Multivariable logistic regression showed no significant difference in lymphocyte cell scores between the groups with and without live births (P=0.52; Table 2). We observed a trend toward higher live birth rates at mean cell dose scores of 6-7 points; however, this association was not statistically significant (Fig. 4).

7. Comparison of baseline characteristics of responders and non-responders

A total of 268 of the 475 couples responded to our questionnaire, which could have introduced some degree of response bias. Therefore, we compared selected baseline characteristics of the responders and non-responders. First, the mean female age was 35 years in both groups. The mean LIT cell dose score was 4.2±1.6 for the responders and 4.3±1.7 for the non-responders. Among the responders, 64.6% had at least one positive T- or B-cell crossmatch result, whereas 87.6% of the non-responders had at least one positive cross-match (P<0.01). For the CDC assay, 43.5% of the responders had a positive result compared with 53.7% of the non-responders (P=0.10).

Discussion

In the literature, the vast majority of studies on LIT have focused on women with recurrent pregnancy loss [7]. A Cochrane review reported a beneficial effect of LIT in the majority of the studies analyzed. However, only a few studies have evaluated LIT in women with unexplained infertility.
In the study by Günther et al. [16], the live birth rate 3 years after LIT increased to approximately 25% among women with recurrent implantation failure and to approximately 45% among women in the combined recurrent implantation failure and recurrent miscarriage group. In contrast, we observed a live birth rate of almost 60% 3 years after LIT in our cohort of women with recurrent implantation failure. In another study, Wade et al. [17] and colleagues reported a live birth rate of 58.2-68.5% after three IVF cycles. An additional two IVF cycles (cycles 4 and 5) increased the live birth rate to 75.8-80.1%. Thus, they reported a relative increase in the live birth rate of 36.8-42.1% after the third IVF cycle following two additional IVF cycles. In contrast, our data demonstrate a live birth rate of 58.6% after LIT following three unsuccessful IVF cycles.
It is well known that female age is an important determinant of pregnancy outcome. The median age of the women who achieved a live birth after LIT was 34 years, whereas the median age of the women who did not achieve a live birth was 36 years. Accordingly, Piette et al. [18] demonstrated that increased female age was associated with significantly lower IVF success rates. They identified an age cut-off between 36 and 37 years, which corresponded with the median age of 36 years observed among women who did not achieve a live birth in our study. Liu et al. [19] also reported a statistically significant effect of younger maternal age on LIT success.
To better understand the potential factors that affect the success rate of LIT, we analyzed several laboratory parameters. The most important laboratory parameter identified in our study was the crossmatch result. Women with at least one positive T- or B-cell crossmatch had a significantly higher likelihood of achieving a live birth than women without a positive T-cell or B-cell crossmatch. Our crossmatch results are consistent with those of other studies, which have demonstrated an association between a positive crossmatch and successful pregnancy outcomes after LIT [20,21].
The outcome of the CDC HLA antibody screening assay did not appear to significantly influence the live birth rate in our study. In addition, we found no evidence of an association between the number of HLA matches between female and male partners and the likelihood of achieving a live birth. Interestingly, Matsuyama et al. [22] observed a higher number of shared HLA antigens in couples with unexplained implantation failure. Similarly, they observed that couples with a higher number of shared HLA antigens had a lower pregnancy rate after LIT. However, the LIT analysis in their study included only 12 couples. Ho et al. [23] also reported an association between a higher degree of HLA antigen sharing in couples with unexplained infertility and unsuccessful IVF outcomes. In contrast, Martín-Villa et al. [24] found no association between the extent of HLA class I, II, or III antigen sharing in couples with unexplained infertility. To further clarify these findings, artificial intelligence-based biostatistical approaches may be beneficial for detailed analyses of the numerous possible HLA combinations between partners. Minor histocompatibility antigens could also play a role in this context and should be investigated in future studies.
In addition, we asked the couples to complete a questionnaire regarding additional therapies they had received to enhance the likelihood of achieving pregnancy. We found only a weak, but statistically nonsignificant, trend toward ASA use among women who achieved a live birth. For other anticoagulants, we found no evidence that they improved outcomes in women with recurrent implantation failure undergoing LIT. In general, prophylactic anticoagulation is frequently used to prevent complications during pregnancy, but careful subgroup analysis of the female patient’s clinical condition is important for predicting treatment outcomes [25].
The other additional therapies evaluated in the questionnaire included lipid infusion, immunoglobulins, corticosteroids, and G-CSF. However, our analysis showed no significant effect of these therapies on pregnancy outcomes after LIT.
Consistent with our findings, Aflatoonian et al. [26] also found no statistical evidence supporting the efficacy of intravenous immunoglobulins for women with unexplained recurrent implantation failure.
Kemp et al. [27] performed a literature review on corticosteroid treatment to improve the probability of live birth. They highlighted the increasing body of evidence indicating that corticosteroid treatment is ineffective or may even be associated with adverse events in women undergoing fertility treatment.
In contrast to our findings, Wu et al. [28] described G-CSF administration as an effective treatment for women with unexplained implantation failure. Kushniruk et al. [29] observed a nonsignificant increase in pregnancy rates after G-CSF treatment in women with recurrent implantation failure.
To identify an appropriate lymphocyte dose for improving live birth rates after LIT, Liu et al. [30] conducted a meta-analysis of several LIT studies. They compared two dosage groups: one receiving more than 100×106 lymphocytes per dose and the other receiving 100×106 lymphocytes per dose or less. The lower-dose LIT group showed significantly higher live birth rates. Consistent with their findings, we observed a nonsignificant trend toward improved outcomes with total cell doses of approximately 60-80×106 lymphocytes across both LIT cycles. Both lower and higher total cell doses than our median dose were associated with lower live birth rates, although these differences were not statistically significant. In a follow-up study, Liu et al. [31] discovered that low-dose LIT was able to restore Th1/Th2/Treg immune homeostasis in women with unexplained recurrent miscarriage. Overall, it is important to note that treatment decisions should be individualized, because several clinical factors may influence the outcome of LIT [32]. Future directions in assisted reproductive technology, such as artificial intelligence-driven embryo selection, will broaden the spectrum of treatment options, and additional studies are required to evaluate the efficacy of LIT in combination with IVF [33].
Finally, we wish to acknowledge the limitations of our study. We did not include a control group of couples who did not receive LIT. Therefore, we cannot infer the efficacy of LIT itself, as temporal trends in IVF success, regression to the mean, and selection bias could have influenced the results. Of the 475 couples who underwent LIT, only 268 responded to the questionnaire. This represents an important limitation that may affect the precision of the live birth rate calculated from our survey. To definitively establish the efficacy of LIT in couples with recurrent implantation failure, a future double-blind, randomized, controlled clinical trial will be required.

Notes

Conflict of interest

The authors declare no conflicts of interest.

Ethical approval

The study was conducted according to the Declaration of Helsinki and approved by the local ethics committee of the University Medical Center Göttingen (approval no. 21/7/20).

Patient consent

Informed consent was obtained from all couples.

Funding information

The study was conducted without external funding.

Fig. 1
Cumulative live birth rate (%) after LIT (n=268 couples). LIT, lymphocyte immunotherapy.
ogs-26059f1.jpg
Fig. 2
Live birth rate (%) after LIT according to the lymphocyte crossmatch result (A) and the complement-dependent cytotoxicity assay (B) (n=268; P=0.02 for panel A; P=0.17 for panel B). CDC pos, complement-dependent cytotoxicity assay positive; CDC neg, complement-dependent cytotoxicity assay negative; LIT, lymphocyte immunotherapy.
ogs-26059f2.jpg
Fig. 3
Live birth rate (%) after LIT according to acetylsalicylic acid use (n=231; P=0.12). ASA, acetylsalicylic acid; LIT, lymphocyte immunotherapy.
ogs-26059f3.jpg
Fig. 4
Live birth rate (%) according to the administered LIT cell dose. The cell dose is expressed as a cumulative score including both LIT treatment cycles. Each complete increment of 1×107 injected cells was assigned one point (n=268; P=0.52). LIT, lymphocyte immunotherapy.
ogs-26059f4.jpg
Table 1
Descriptive characteristics of women with recurrent implantation failure treated with partner lymphocyte immunotherapy (LIT)
Parameter Total (n=268) Without live-birth (n=111) Live-birth (n=157) P-value
Age (women) (yr) 35.0±4.0 35.0±4.0 34.0±4.0 0.03
35 (27; 43) 36 (27; 42) 34 (27; 43)
HLA-matchings (n) 2.5±1.7 2.5±1.6 2.5±1.8 0.643
2.0 (0.0; 10) 2.0 (0.0; 6.0) 2.0 (0.0; 10)
Blood group (women) 92 (34.8) 43 (39.1) 49 (31.8) (Ref. value for odds-ratios)
 A 126 (47.7) 49 (44.5) 77 (50.0) 0.306
 B 35 (13.3) 14 (12.7) 21 (13.6) 0.513
 AB 11 (4.2) 4 (3.6) 7 (4.5) 0.442
 Missing 4 1 3
LIT cell-dose (score) 5.8±2.6 5.9±2.8 5.8±2.4 0.521
6.0 (1.0; 14) 5.0 (1.0; 13) 6.0 (1.0; 14)
Complement-dependent cytotoxicity assay
 Negativ 120 (44.8) 52 (46.8) 68 (43.3) 0.161
 Positiv 148 (55.2) 59 (53.2) 89 (56.7)
T&B-cell crossmatch
 Negativ 89 (33.3) 45 (40.5) 44 (28.2) 0.017
 Min 1 positiv 178 (66.7) 66 (59.5) 112 (71.8)
 Missing 1 0 1
Immunoglobulins
 No 196 (87.5) 84 (88.4) 112 (86.8) 0.581
 Yes 28 (12.5) 11 (11.6) 17 (13.2)
 Missing 44 16 28
Lipid-Infusion
 No 173 (75.5) 71 (73.2) 102 (77.3) 0.448
 Yes 56 (24.5) 26 (26.8) 30 (22.7)
 Missing 39 14 25
G-CSF
 No 194 (87.0) 82 (86.3) 112 (87.5) 0.846
 Yes 29 (13.0) 13 (13.7) 16 (12.5)
 Missing 45 16 29
Acetylsalicyclic acid (ASA)
 No 142 (61.5) 63 (64.9) 79 (59.0) 0.123
 Yes 89 (38.5) 34 (35.1) 55 (41.0)
Missing 37 14 23
Anticoagulants (non-ASA)
 No 156 (67.5) 65 (67.7) 91 (67.4) 0.983
 Yes 75 (32.5) 31 (32.3) 44 (32.6)
 Missing 37 15 22
Corticosteroids
 No 218 (89.0) 91 (89.2) 127 (88.8) 0.672
 Yes 27 (11.0) 11 (10.8) 16 (11.2)
 Missing 23 9 14

Values are presented as mean±standard deviation or median (min; max) or number (%).

LIT, lymphocyte immunotherapy; Ref., reference; G-CSF, granulocyte colony-stimulating factor.

Table 2
Statistical comparison of age, LIT cell dose, blood groups, and immunological parameters between women with and without a live birth after LIT
Odds ratio (95% confidence interval) P-value
Crossmatch (pos. vs. neg) 2.5 (1.18-5.45) 0.02
Age (women) (yr) 0.93 (0.86-0.99) 0.03
Complement-dependent cytotoxicity assay 0.6a (0.28-1.22) 0.17
LIT cell-dose (score) 0.97 (0.88-1.07) 0.52
Number of HLA-matchings 1 (0.89-1.21) 0.64
Blood group (women) 1.3-1.7 (0.46-6.88) (0.31-0.51)

LIT, lymphocyte immunotherapy; pos., positive; neg., negative; HLA, human leukocyte antigen.

a Simpson’s paradox was observed as a statistical effect. The odds ratio without inclusion of the crossmatch variable in the model would have been 1.4.

Table 3
Statistical comparison of additional therapeutic interventions between women who achieved a live birth and those who did not after LIT (n=224-245)
Odds ratio (95% confidence interval) P-value
Acetylsalicylic acid (ASA) 1.7 (0.88-3.2) 0.12
Lipid-infusion 0.74 (0.33-1.6) 0.45
Immunglobulins 1.3 (0.47-4.0) 0.58
Corticosteroids 1.3 (0.43-4.0) 0.67
G-CSF 0.91 (0.34-2.5) 0.85
Anticoagulants (without ASA) 0.99 (0.50-2.0) 0.98

LIT, lymphocyte immunotherapy; G-CSF, granulocyte colony-stimulating factor.

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