Abstract
Background
Pregnancy is a prothrombotic condition which can be abnormally exaggerated in women with thrombophilia.
Methods
In a prospective study, patients who delivered at term, by cesarean section, between 1 October 2017 and 1 December 2021, who already had a diagnosis of thrombophilia before coming to our hospital, were included in the study group (n = 80). A similar number of nonthrombophilia patients (n = 80) without any history of thrombotic events, age‐ and para‐matched with the study group, were included in the control group. The postpartum uterine ultrasonographic scale (PUUS) values, in the first 24–48 h, were correlated with the patients' data.
Results
The P‐LCR (platelet large cell ratio), was significantly higher in the treated thrombophilia group (p = 0.042). There was no correlation between PUUS and complete blood count values, coagulation factors, maternal characteristics, or fetal outcomes, except for postpartum neutrophils (p = 0.047) and postpartum platelet count (p = 0.046).
Conclusions
Postpartum uterine involution was not significantly different, after cesarean section, between treated thrombophilia patients and nonthrombophilia patients. Involution correlated only with postpartum neutrophils and postpartum platelet count.
Keywords: cesarean section, coagulation factors, complete blood count, fetal outcomes, maternal characteristics, postpartum uterine ultrasonographic scale, thrombophilia, uterine involution
Postpartum uterine involution after cesarean section, determined by the postpartum uterine ultrasonographic scale (PUUS) was not significantly different, between treated thrombophilia patients and nonthrombophilia patients. There was no correlation between PUUS and complete blood count values, coagulation factors, maternal characteristics, or fetal outcomes, except for postpartum neutrophils (p = 0.047) and postpartum platelet count (p = 0.046).
1. INTRODUCTION
The pregnancy‐induced shift in coagulation, as an adaptation to prevent postpartum bleeding, can be abnormally exaggerated in women with thrombophilia, 1 especially after cesarean section, which doubles the risk of thrombotic events compared with vaginal deliveries. 2 Thrombophilia is a group of genetic disorders that cause the blood to clot abnormally and is linked to adverse pregnancy outcomes. 3 , 4 , 5 Therefore, antithrombotic treatment in pregnant patients with previous adverse fetal outcomes, and especially thrombophilia, is recommended. 6
Recurrent pregnancy loss is generated mainly by acquired thrombophilia (antiphospholipid antibody syndrome), according to Alecsandru, 7 while, according to Gandone, 8 inherited thrombophilia (factor V Leiden) is mostly involved.
The risk of venous thromboembolism is five times higher in pregnant patients, than in nonpregnant ones, up to 20 times higher immediately after labor, and even higher in thrombophilia pregnant patients, and persists until nearly 12 weeks postpartum. 9 Still, Lafalla 10 could not correlate patient thrombophilia with placenta‐mediated pregnancy complications; moreover, in patients undergoing low‐molecular‐weight heparin treatment and/or acid acetylsalicylic fetal outcomes improved, acting both as protective factors. The low‐molecular‐weight heparin may be effective in patients who had pre‐eclampsia, or other pathologic vascular processes. 11 On the contrary, according to Intzes, 12 in patients having thrombophilia, the benefit of low‐molecular‐weight heparin for a live birth does not exist.
Assuming that uterine involution could be similar in treated thrombophilia patients and healthy patients, but different in nontreated thrombophilia patients, this work aimed to study whether there is any difference in the postpartum uterine involution, assessed in a numerical fashion, after cesarean section, between treated thrombophilia patients at term and nonthrombophilia patients, as well as to elucidate the relationship of this involution with maternal and fetal characteristics. The aim of the work is focused on the instrumental aspect (the ultrasonographic assessment), not on the laboratory values.
2. MATERIALS AND METHODS
Patients admitted in the Elena Doamna Obstetrics and Gynecology University Hospital in Iasi for delivery at term by cesarean section between 1 October 2017 and 1 December 2021 were prospectively studied. We included in the study group patients who delivered at term and who already had a diagnosis of thrombophilia before coming to our hospital. We included only thrombophilic patients identified on laboratory tests outside our hospital. We had no other symptomatic patients during the study period. The laboratory in our hospital cannot perform screening for thrombophilia patients, therefore we only included patients who already came with thrombophilia diagnosis established by specialized laboratories. We compared them with a similar number of healthy patients who delivered by cesarean section, in our hospital, in the same period of time, who were age‐ and para‐matched with the study group, without any history of thrombotic events or symptoms suggesting thrombotic events, and we sent their blood samples to the same external laboratory to determine any thrombophilia mutations; there were none. Thrombophilia patients who delivered vaginally were excluded from this study. Patients with thrombocytopenia, deep vein thrombosis, or cerebral thrombosis peripartum were also excluded from the study. There were 160 patients studied, with 80 patients in each group. Since all of the thrombophilia patients were already diagnosed before delivering in our hospital, they were also already receiving anticoagulant treatment. None of the thrombophilia patients had any vascular symptoms during the current hospitalization; all of them previously had recurrent pregnancy losses, which raised the suspicion of thrombophilia, and their blood samples were sent to specialized laboratories for thrombophilia screening.
All patients were examined postpartum by ultrasonography, in the first 24–48 h postpartum, and the PUUS scale was used. The PUUS scale (Postpartum Uterine Ultrasonographic Scale) has previously been described, but briefly, and it is a visual scale that evaluates the number of quarters of the endometrial length occupied by blood or debris, ranging from 0 to 4, as follows:
Grade 0: No blood or debris in the uterine cavity.
Grade 1: Less than a quarter of the endometrial length occupied by blood or debris.
Grade 2: Less than a half of the endometrial length occupied by blood or debris.
Grade 3: Less than three quarters of the endometrial length occupied by blood or debris.
Grade 4: Over three quarters of the endometrial length occupied by blood or debris.
The PUUS scale was used because it is faster than laboratory findings, and evaluates exactly, in a numerical fashion, the uterine involution.
The values and characteristics of the patients' blood following analysis were extracted from the hospital's medical records. For this work, the complete blood count values—the last ones antepartum and the first ones postpartum—were considered. The coagulation factors were harvested only antepartum. Hospital policy required that blood analysis was performed in both the 24 h before and the 24 h after labor.
The MAN‐HEMATO Laboratory Equipment was used for the complete blood count, and the RAYTO RT‐2201C Coagulation Analyzer for the coagulation factors.
This study was approved by the Ethics Committee of Elena Doamna Obstetrics and Gynecology University Hospital (approval number 9; 17 September 2017). Informed written consent was obtained from each patient.
Data were analyzed using SPSS version 18 (PASW Statistics for Windows, Chicago: SPSS Inc., Chicago, IL, USA). Descriptive measures were point‐estimated for both categorical and numerical variables. The absolute and relative frequencies, averages, standard deviations, median and quartiles were computed. Due to the fact that a lot of the distributions of the variables did not follow a normal curve, we applied comparisons using the nonparametric Mann–Whitney U‐test and for correlation the Spearman formula. We have also applied the Student's t‐test when data follows a normal distribution. The standard significance level was 0.05 as a cutoff for statistical hypothesis decisions.
3. RESULTS
The mutations of thrombophilia identified in the study group are described in Table 1. The antiphospholipid syndrome includes one or more of the following three factors: anticardiolipin antibody of IgG and/or IgM isotype in serum or plasma, lupus anticoagulant present in plasma, and anti‐b2 glycoprotein‐I antibody of IgG and/or IgM isotype in serum or plasma. 13 , 14 We only had one patient in the study group with lupus anticoagulant.
TABLE 1.
Thrombophilia mutations identified in the study group | Number | Percent |
---|---|---|
Gene MTHFR | 43 | 53.75% |
Factor V Leiden | 17 | 21.25% |
Plasminogen activator inhibitor | 11 | 13.75% |
Protein C | 4 | 5.00% |
Prothrombin G20210A | 3 | 3.75% |
Lupus anticoagulants | 1 | 1.25% |
Antithrombin | 1 | 1.25% |
Total | 80 | 100% |
Abbreviation: MTHFR, methylene tetrahydrofolate reductase.
There were no thrombophilia mutations identified in the control group (Table 2).
TABLE 2.
Thrombophilia mutations identified in the control group | Number | Percent |
---|---|---|
Gene MTHFR | 0 | 0% |
Factor V Leiden | 0 | 0% |
Plasminogen activator inhibitor | 0 | 0% |
Protein C | 0 | 0% |
Prothrombin G20210A | 0 | 0% |
Lupus anticoagulants | 0 | 0% |
Antithrombin | 0 | 0% |
Protein S | 0 | 0% |
Factor XIII V34L | 0 | 0% |
Anticardiolipin antibodies | 0 | 0% |
Antibeta‐2‐glycoprotein 1 antibodies | 0 | 0% |
Antiphospholipid antibodies | 0 | 0% |
Total | 0 | 0% |
Abbreviation: MTHFR, methylene tetrahydrofolate reductase.
These results were in accordance with Gulino, 15 who found MTHFR gene mutation in most infertile patients selected for thrombophilia screening. The number of mutations for each patient is not detailed, since, according to Patounakis, 16 outcomes cannot be predicted by the cumulative number of thrombophilic mutations present in the patient.
In the study group, there were 6 Rh incompatibility cases (7.5%), 2 of them (33.33%) tested negative for anti‐Rh positive antibodies, the other 4 were not tested, and all 6 of them (100%) were administered anti‐D immunoglobulin.
There was no significant difference (p = 0.366) between the PUUS grade in the two groups. There was no significant difference in blood values between the two groups, except for postpartum P‐LCR, which was significantly higher in group 1 (treated thrombophilia group) (p = 0.042). There was no correlation between PUUS and the complete blood count values, either antepartum or postpartum, or the antepartum coagulation factors, except for postpartum neutrophils (p = 0.047) and postpartum platelet count (p = 0.046), whose mean values were not significantly different between the two groups.
3.1. Patients' characteristics
Though patients in the control group were selected to be age‐ and para‐matched to the study group, gestation number was significantly higher in the thrombophilia group as a consequence of previous miscarriages generated by thrombophilia (Table 3). Gestational age was 38.13 weeks in the thrombophilia group and 38.50 weeks in the nonthrombophilia group (p = 0.912), and they were all at term pregnancies.
TABLE 3.
Patients | Thrombophilia patients (n = 80) | Nonthrombophilia patients (n = 80) | Significance, p |
---|---|---|---|
Age (years) | 30 (±5) | 30 (±5) | 0.944 |
30 (27–34) | 30 (27–34) | ||
Gestation (number) | 3 (±1) | 2 (±1) | <0.001 |
3 (2–3) | 2 (1–2) | ||
Parity (number) | 2 (±1) | 2 (±1) | 0.213 |
2 (1–2) | 2 (1–2) |
Note: The nonparametric Mann–Whitney test was used for comparisons.
3.2. PUUS values
There was no significant difference (p = 0.366) between the PUUS grade in the two groups (Table 4). Uterine involution was not significantly different.
TABLE 4.
PUUS value | Thrombophilia patients (n = 80) | Nonthrombophilia patients (n = 80) |
---|---|---|
0 | 65 (81.25%) | 69 (86.25%) |
1 | 7 (8.75%) | 6 (7.50%) |
2 | 5 (6.25%) | 4 (5%) |
3 | 3 (3.75%) | 1 (1.25%) |
4 | 0 (0%) | 0 (0%) |
Total | 80 (100%) | 80 (100%) |
There was no PUUS 4 value in these groups; therefore, value 4 for PUUS was removed in the next tables, and only values 0–3 were written.
3.3. Complete blood count and coagulation factors
There was no significant difference in these values between the two groups, except for postpartum P‐LCR, which was significantly higher in group 1 (treated thrombophilia group) (p = 0.042).
3.4. Correlation between PUUS and complete blood count and coagulation factors
There was no correlation between PUUS and complete blood count values, either antepartum or postpartum, or antepartum coagulation factors, except for postpartum neutrophils (p = 0.047) and postpartum platelet count (p = 0.046), whose mean values were not significantly different between the two groups (Table 5).
TABLE 5.
Patients' characteristics | Thrombophilia patients (n = 80) | Nonthrombophilia patients (n = 80) | Significance, p |
---|---|---|---|
P NEUT | 7.59 (±3.03) | 8.01 (±3.64) | 0.891 |
P PLT | 223.01 (±64.57) | 242.33 (±63.49) | 0.089 |
Abbreviations: P NEUT, postpartum neutrophils; P PLT, postpartum platelet count.
3.5. PUUS and maternal blood group
There was no significant difference between the maternal blood groups (p = 0.413) in the two groups. The PUUS distribution is shown in Table 6.
TABLE 6.
Blood group | PUUS grade | Thrombophilia patients (n = 80) | Nonthrombophilia patients (n = 80) |
---|---|---|---|
O | 0 | 20 (87.0%) | 20 (90.9%) |
1 | 1 (4.3%) | 2 (9.1%) | |
2 | 1 (4.3%) | 0 (0.0%) | |
3 | 1 (4.3%) | 0 (0.0%) | |
A | 0 | 28 (80%) | 33 (82.5%) |
1 | 4 (11.4%) | 4 (10%) | |
2 | 2 (5.6%) | 3 (7.5%) | |
3 | 1 (2.9%) | 0 (0.0%) | |
B | 0 | 13 (72.2%) | 10 (90.9%) |
1 | 2 (11.1%) | 0 (0.0%) | |
2 | 2 (11.1%) | 1 (9.1%) | |
3 | 1 (5.6%) | 0 (0.0%) | |
AB | 0 | 4 (100%) | 6 (85.7%) |
1 | 0 (0.0%) | 0 (0.0%) | |
2 | 0 (0.0%) | 0 (0.0%) | |
3 | 0 (0.0%) | 1 (14.3%) |
Due to the lack of consistency, a Chi‐square test could not be used to determine associations between PUUS and the blood groups.
3.6. PUUS and the Rh factor
There was no significant difference between the Rh factor distribution (p = 0.79) in the two groups. The PUUS distribution is shown in Table 7.
TABLE 7.
PUUS value | Thrombophilia patients (n = 80) | Nonthrombophilia patients (n = 80) | ||
---|---|---|---|---|
Rh+ | Rh– | Rh+ | Rh– | |
0 | 57 (80.28%) | 8 (88.88%) | 61 (84.72%) | 8 (100%) |
1 | 6 (8.45%) | 1 (11.11%) | 6 (8.33%) | 0 (0%) |
2 | 5 (7.04) | 0 (0%) | 4 (5.55%) | 0 (0%) |
3 | 3 (4.22%) | 0 (0%) | 1 (1.38%) | 0 (0%) |
4 | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
Total | 71 (100%) | 9 (100%) | 72 (100%) | 8 (100%) |
Due to the lack of consistency, a Chi‐square test could not be used to determine correlations between PUUS and the Rh factor.
3.7. PUUS and fetal outcomes
There were no significant differences between the fetal outcomes in the two groups: weight (p = 0.571) or Apgar score (p = 0.303). There was no correlation between PUUS and fetal outcomes (Table 8).
TABLE 8.
Fetal outcomes correlated with PUUS | Thrombophilia patients (n = 80) | Nonthrombophilia patients (n = 80) |
---|---|---|
Weight | −0.082 | 0.021 |
Apgar | −0.014 | −0.09 |
Note: All correlations were nonsignificant.
3.8. PUUS and fetal gender
Fetal gender was not significantly different between the two groups (p = 0.627). The PUUS distribution is shown in Table 9.
TABLE 9.
PUUS value | Thrombophilia patients (n = 80) | Nonthrombophilia patients (n = 80) | ||
---|---|---|---|---|
M | F | M | F | |
0 | 36 (76.59%) | 29 (87.87%) | 44 (88%) | 25 (83.33%) |
1 | 4 (8.51%) | 3 (9.09%) | 3 (6%) | 3 (10%) |
2 | 5 (10.63%) | 0 (0%) | 2 (4%) | 2 (6.66%) |
3 | 2 (4.25%) | 1 (3.03%) | 1 (2%) | 0 (0%) |
4 | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
Total | 47 (100%) | 33 (100%) | 50 (100%) | 30 (100%) |
Due to the lack of consistency, a Chi‐square test could not be used to determine the correlation between PUUS and fetal gender.
3.9. PUUS and maternal characteristics
There was no significant differences between the maternal characteristics in the two groups: height, weight, BMI (p = 0.376; 0.239 and 0.085 respectively). There was no correlation between PUUS grade and maternal characteristics (Table 10).
TABLE 10.
Maternal characteristics correlated with PUUS | Thrombophilia patients (n = 80) | Nonthrombophilia patients (n = 80) |
---|---|---|
Height | −0.028 | −0.061 |
Weight | 0.013 | 0.046 |
BMI | 0.049 | 0.048 |
Note: Correlations were nonsignificant.
Abbreviation: BMI, body mass index.
4. DISCUSSION
Though there was a worldwide agreement about the benefits of low molecular weight heparin in patients having low risk thrombophilia, there was no agreement about dosage in patients at high risk. 17 Despite this lack of consensus, the above results showed that treated thrombophilia pregnant patients had similar characteristics and outcomes to nonthrombophilia pregnant patients.
For Stamou, 18 the use of low‐molecular‐weight heparin and/or acid acetylsalicylic was not related to live birth rates or late obstetric complications, nor was the etiology of thrombophilia; the only factor inversely related to live birth rates was age above the cutoff value of 35.5 years (p = 0.049). This was true for our patients, since we considered the thrombophilia patients altogether, and the results were similar to those of the nonthrombophilia patients; we only had 15 patients aged over 35, but their results did not differ to the results of the other patients.
There was also no difference in the chromosomal aberration rate between the factors for recurrent pregnancy loss, with or without thrombophilia, and antithrombotic therapy; only advancing maternal age was significantly correlated with increased embryo chromosomal aberration rates. 19 On the contrary, according to Kurodawa, 20 the live birth rate in thrombophilia patients treated with low‐dose aspirin increased in all patients, except for those older than 40 years old. Our patients were treated with low‐molecular‐weight heparin, not aspirin, but there was no difference regarding age.
Heparin‐derived compounds significantly contribute to the prevention and treatment of thrombotic events in pregnancy, respiratory inflammation, renal diseases, sepsis, and pancreatitis, among others. 21 Low‐molecular‐weight heparin also has a positive effect on thrombophilia IVF patients, 22 because it decreases coagulation in small blood vessels and increases trophoblast development. 23 This is in accordance with what we found, that treated thrombophilia patients had the same outcomes as normal patients.
Ultrasonography is the mainstay in the initial imaging evaluation of a postpartum patient, with occasional progression to computed body tomography, magnetic resonance imaging, or angiography. 24 Ucci 25 tried to standardize the postpartum involution of the endometrial thickness, Levinson 26 used Doppler to classify the risk of retained products of conception, and Vyas 27 associated endometrial thickness and lack of Doppler signal in uterine mucosa and muscular layer to positive maternal outcomes. However, all of these methods are time‐consuming. The PUUS method is easier and can be adapted to a patient's body size.
During postpartum uterine involution, the majority of the endometrium is regenerated to replace the tissue that is shed postpartum, but the particular role of putative stem cells is poorly understood. 28 Bone marrow‐derived progenitors have been found to provide a novel nonhematopoietic cellular contribution to postpartum uterus remodeling. 29 Freshly isolated bone marrow‐derived cells (including hematopoietic progenitor cells) induce the greatest degree of regeneration of the endometrium. 30 We found a correlation between the PUUS scale and postpartum neutrophils and platelet count, which supported these statements, since hematopoietic stem cells divide into increasing specialized cells and eventually lead to mature leukocytes, erythrocytes, and platelets. 31
Fibrinogen was considered an important part of a scale for pregnant women who need blood transfusion, 32 together with prothrombin time and antithrombin III, among other factors. Fibrinogen was also considered part of a logistic regression model to evaluate the risk of thrombophilia in pregnant women, together with activated partial thromboplastin time, among others. 33 Gris 34 tried to establish two quantitative scores as references for coagulation assays performed for thrombophilia screening, prescribed according to guidelines, after a first venous thromboembolic event. We found no correlation between the PUUS scale and coagulation factors in the treated thrombophilia patients.
In patients receiving heparin, coagulation function is assessed by determining APTT or, less frequently, anti‐activated factor X, 35 with similar sensibility. 36 Low‐dose unfractionated heparin prophylaxis decreases the incidence of venous thromboembolism in hospitalized patients, but increases the risk of bleeding events; therefore, patients who develop a prolonged activated partial thromboplastin time while on low‐dose unfractionated heparin may be at higher risk of bleeding complications. 37 We reported no patient with prolonged activated partial thromboplastin time while treated with low‐dose unfractionated heparin.
We reported significantly higher postpartum P LCR in treated thrombophilia patients than in normal patients. Generally, the platelet‐large cell ratio (P‐LCR) increased with age, 38 but in the case of postpartum patients, a higher value of P LCR can be interpreted as the presence of a high percentage of new platelets characterized by a greater size, 39 since young platelets are larger and more active than mature cells, 40 and contain greater amounts of thromboxane A1 and beta‐thromboglobulin. 41 , 42 This means that labor triggered the release of more numerous young platelets and an increase in P‐LCR, but only in thrombophilia patients.
The PUUS scale demonstrated that postpartum uterine involution in treated thrombophilia patients was the same as in healthy patients, therefore the PUUS scale can be an easy method to assess, in a numerical fashion, the uterine involution immediately postpartum in treated thrombophilia patients. Further studies to assess the uterine involution during the follow up of thrombophilia patients, with or without treatment, would be interesting”.
This study has several weaknesses. First, a larger study would be necessary to confirm these results. Second, a correlation between PUUS grade and the dose of low‐molecular‐weight heparin, requiring more patients, should follow this study. Third, it only included treated thrombophilia pregnant patients at term, while patients who were untreated, with miscarriages or preterm birth, were not studied. Though the assessment of PUUS may seem to have no clinical value in treated thrombophilia patients, the results might be totally different in patients who have not been treated yet. Fourth, a larger study to compare the different types of thrombophilia and the uterine involution evaluated by the PUUS scale might show some significant differences. Fifth, a larger study would be useful to evaluate the diffusion of the single mutation of MTHFR Factor in general population, as a reason for an increasing risk of thrombophilia.
5. CONCLUSIONS
Postpartum uterine involution was not significantly different between treated thrombophilia patients and nonthrombophilia patients. Involution correlated only with postpartum neutrophils and postpartum platelet count.
AUTHOR CONTRIBUTIONS
Conceptualization, Catalina Filip and Roxana Covali; data curation, Mona Akad; formal analysis, Lucian Boiculese; funding acquisition, Catalina Filip; Investigation, Alexandru Carauleanu and Madalina Irina Ciuhodaru; Methodology, Ioana Pavaleanu and Demetra Socolov; Project administration, Răzvan Socolov; Resources, Mona Akad; Software, Lucian Boiculese; Supervision, Răzvan Socolov; Validation, Demetra Socolov and Sadyie Scripcariu; Visualization, Demetra Socolov; Writing—original draft, Roxana Covali and Tudor Butureanu; Writing—review and editing, Alexandru Carauleanu, Sadyie Scripcariu and Ingrid Andrada Tanasa. All authors read and agreed to the published version of the article.
CONFLICT OF INTEREST
The authors declare no conflicts of interest.
INSTITUTIONAL REVIEW BOARD STATEMENT
This study was conducted in accordance with the Declaration of Helsinki, and approved by the Ethics Committee of Elena Doamna Obstetrics and Gynecology University Hospital (Approval number 9; 17 September 2017).
INFORMED CONSENT STATEMENT
Informed consent was obtained from all subjects involved in the study.
ACKNOWLEDGMENTS
None.
Filip C, Covali R, Socolov D, et al. The postpartum uterine ultrasonographic scale in assessment of uterine involution after cesarean section in treated thrombophilia pregnant patients at term. J Clin Lab Anal. 2022;36:e24645. doi: 10.1002/jcla.24645
Contributor Information
Roxana Covali, Email: rcovali@yahoo.com.
Mona Akad, Email: akad.mona@yahoo.com.
DATA AVAILABILITY STATEMENT
Data can be obtained from the corresponding author upon reasonable request.
REFERENCES
- 1. Han AR, Han JW, Lee SK. Inherited thrombophilia and anticoagulant therapy for women with reproductive failure. Am J Reprod Immunol. 2021. Apr;85(4):e13378. doi: 10.1111/aji.13378 [DOI] [PubMed] [Google Scholar]
- 2. Larsson C, Matsson A, Mooe T, Söderström L, Tunớn K, Nordin P. Cardivascular complications following cesarean section and vaginal delivery: a national population‐based study. J Matern Fetal Neonatal Med. 2021. Jul 18;1‐8. doi: 10.1080/14767058.2021.1941851. Online ahead of print. [DOI] [PubMed] [Google Scholar]
- 3. Voicu DI, Munteanu O, Gherghiceanu F, et al. Maternal inherited thrombophilia and pregnancy outcomes. Exp Ther Med. 2020. Sep;20(3):2411‐2414. doi: 10.3892/etm.2020.8747 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Dugalic S, Petronijevic M, Stefanovic A, et al. Perinatal complications related to inherited thrombophilia: review of evidence in different regions of the world. J Matern Fetal Neonatal Med. 2021. Aug;34(15):2567‐2576. doi: 10.1080/14767058.2019.1669017 [DOI] [PubMed] [Google Scholar]
- 5. Bohiltea RE, Cirstea MM, Turcan N, et al. Inherited thrombophilia is significantly associated with severe preeclampsia. Exp Ther Med. 2021. Mar;21(3):261. doi: 10.3892/etm20219691 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Grandone E, Tiscia G, Mastroianno M, et al. Findings from a amulticentre, observational study on reproductive outcomes in women with unexplained recurrent pregnancy loss: the OTTILIA registry. Hum Reprod. 2021. Jul 19;36(8):2083‐2090. doi: 10.1093/humrep/deab153 [DOI] [PubMed] [Google Scholar]
- 7. Alecsandru D, Klimszak A, Garcia Velasco J, Pirtea P, Franasiak J. Immunologic causes and thrombophilia in recurrent pregnancy loss. Fertil Steril. 2021. Mar;115(3):561‐566. doi: 10.1016/j.fertnstert.2021.01.017 [DOI] [PubMed] [Google Scholar]
- 8. Grandone E, Piazza G. Thrombophilia, inflammation and recurrent pregnancy loss: a case‐base review. Semin Reprod Med. 2021. Mar;39(1–02):62‐68. doi: 10.1055/s-0041-1731827 [DOI] [PubMed] [Google Scholar]
- 9. Umerah C, Momodu I. Anticoagulation. In: StatPearls [Internet]. StatPearls Publishing; 2022. Jan. 2021 Dec 27. [Google Scholar]
- 10. Lafalla O, Esteban LM, Lou AC, et al. Clinical utility of thrombophilia, anticoagulant treatment and maternal variables as predictors of placenta‐mediated pregnancy complications: an extensive analysis. J Matern Fetal Neonatal Med. 2021. Feb;34(4):588‐598. doi: 10.1080/14767058.2019.1611764 [DOI] [PubMed] [Google Scholar]
- 11. Simcox L, Ormesher L, Tower C, Greer I. Thrombophilia and pregnancy complications. Int J Mol Sci. 2015. Nov 30;16(12):28418‐28428. doi: 10.3390/ijms161226104 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Intzes S, Symenidou M, Zagoridis K, Stamou M, Spanoudaki A, Spanoudakis E. Hold your needles in women with recurrent pregnancy losses with or without hereditary thrombophilia: meta‐analysis and review of the literature. J Gynecol Obstet Hum Reprod. 2021. Apr;50(4):101935. doi: 10.1016/j.jogoh.2020.101935 [DOI] [PubMed] [Google Scholar]
- 13. Devreese KMJ, de Groot PG, de Laat B, et al. Guidance from the scientific and standardization committee for lupus anticoagulant/antiphospholipid antibodies of the international society on thrombosis and Haemostasis. J Thromb Haemost. 2020;18:2828‐2839. doi: 10.1111/jth.15047 [DOI] [PubMed] [Google Scholar]
- 14. Gomez‐Puerta J, Cervera R. Diagnosis and classification of the antiphospholipid syndrome. J Autoimmun. 2014;48‐49:20‐25. doi: 10.1016/j.jaut.2014.01.006 [DOI] [PubMed] [Google Scholar]
- 15. Gulino FA, Caproglione S, Fauzia M, et al. Which are the most common thrombophilic genetic nucleotide polymorphisms in infertile women undergoing an IVF cycle? Gynecol Endocrinol. 2016. Nov;32(11):896‐899. doi: 10.1080/09513590.2016.1188378 [DOI] [PubMed] [Google Scholar]
- 16. Patounakis G, Bergh E, Forman E, et al. Multiple thrombophilic single nucleotide polymorphisms lack a significant effect on outcomes in fresh IVF cycles: an analysis of 1717 patients. J Assist Reprod Genet. 2016. Jan;33(1):67‐73. doi: 10.1007/s10815-015-0606-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Cohen A, Boggio L, Billett H, et al. North American physician practice patterns in the management of anticoagulation in pregnancy. J Womens Health (Larchmt). 2021. Jun;30(6):829‐836. doi: 10.1089/jwh.2020.8385 [DOI] [PubMed] [Google Scholar]
- 18. Stamou M, Intzes S, Symenidou M, et al. Reproductive failure and thrombophilia: not enough evidence for a tight bond. Acta Hematol. 2022;145(2):170‐175. doi: 10.1159/000520439. Epub 2021 Dec 8. [DOI] [PubMed] [Google Scholar]
- 19. Ouchi N, Takeshita T, Kasano S, et al. Effects of thrombophilia and antithrombotic therapy on embryonic chromosomal aberration rates in patients with recurrent pregnancy loss. J Nippon Med Sch. 2022;89(1):40‐46. doi: 10.1272/jnms.JNMS.2022_89-103. Epub 2021 Apr 19. [DOI] [PubMed] [Google Scholar]
- 20. Kuroda K, Ikemoto Y, Horikawa T, et al. Novel approaches to the management of recurrent pregnancy loss: the OPTIMUM (OPtimization of thyroid function, thrombophilia, immunity, and uterine milieu) treatment strategy. Reprod Med Biol. 2021. Sep 14;20(4):524‐536. doi: 10.1002/rmb2.12412 eCollection 2021 Oct. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Chen D. Heparin beyond anti‐coagulation. Curr Res Transl Med. 2021. Oct;69(4):103300. doi: 10.1016/j.retram.2021.103300 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Potdar N, Gelbaya T, Konje J, Nardo L. Adjunct low‐molecular weight heparin to improve live birth rate after recurrent implantation failure: a systematic review and meta‐analysis. Hum Reprod Update. 2013. Nov‐Dec;19(6):674‐684. doi: 10.1093/humupd/dmt032 [DOI] [PubMed] [Google Scholar]
- 23. Dentali F, Grandone E, Rezoagli E, Ageno W. Efficacy of low molecular weight heparin in patients undergoing in vitro fertilization or intracytoplasmic sperm injection. J Thromb Haemost. 2011. Dec;9(12):2503‐2506. doi: 10.1111/j.1538-7836.2011.04535.x [DOI] [PubMed] [Google Scholar]
- 24. Kostrubiak DK, DeHay P, Akselrod D, D'Agostino R, Tam J. Emergent postpartum pelvic sonography. Emerg Radiol. 2021. Aug;28(4):857‐862. doi: 10.1007/s10140-021-01927-0 [DOI] [PubMed] [Google Scholar]
- 25. Ucci MA, Di Mascio D, Bellussi F, Berghella V. Ultrasound evaluation of the uterus in the uncomplicated postpartum period: a systematic review. Am J Obstet Gynecol MFM. 2021. May;3(3):100318. doi: 10.1016/j.ajogmf.2021.100318 [DOI] [PubMed] [Google Scholar]
- 26. Levinsohn‐Tavor O, Zilberman Sharon N, Feldman N, et al. Managing patients with suspected postpartum retained products of conception using a novel sonographic classification. Acta Radiol. 2022. Mar;63(3):410‐415. doi: 10.1177/0284185121991464 [DOI] [PubMed] [Google Scholar]
- 27. Vyas S, Choi H, Whetstone S, Jha P, Poder L, Shum D. Ultrasound features help identify patients who can undergo nonivasive management for suspected retained products of conception: a single institutional experience. Abdom Radiol (NY). 2021. Jun;46(6):2729‐2739. doi: 10.1007/s00261-020-02948-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Spooner M, Lenis Y, Watson R, Jaimes D, Patterson A. The role of stem cells in uterine involution. Reproduction. 2021. Mar;161(3):R61‐R77. doi: 10.1530/REP-20-0425.e [DOI] [PubMed] [Google Scholar]
- 29. Tal R, Kisa J, Abuwala N, et al. Bone marrow‐derived progenitor cells contribute to remodeling of the postpartum uterus. Stem Cells. 2021. Nov;39(11):1489‐1505. doi: 10.1002/stem.3431 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Gil‐Sanchis C, Cervelló I, Khurana S, Faus A, Verfaillie C, Simón C. Contribution of different bone marrow‐derived cell types in endometrial regeneration using an irradiated murine model. Fertil Steril. 2015. Jun;103(6):1596‐605e1. doi: 10.1016/j.fertnstert.2015.02.030 [DOI] [PubMed] [Google Scholar]
- 31. Chapman J, Zhang Y. Histology, hematopoiesis. In: StatPearls [Internet]. StatPearls Publishing; 2022. Jan. 2021 May 10. [Google Scholar]
- 32. Alhousseini A, Romero R, Benshalom‐Tirosh N, et al. Nonovert disseminated intravascular coagulation (DIC) in pregnancy: a new scoring system for the identification of patients at risk for obstetrical hemarrhage requiring blod product transfusion. J Matern Fetal Neonatal Med. 2022. Jan;35(2):242‐257. doi: 10.1080/14767058.2020.1716330 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Wang T, Kang X, He L, Liu Z, Xu H, Zhao A. Prediction of thrombophilia in patients with unexplained recurrent pregnancy loss using a statistical model. Int J Gynaechol Obstet. 2017. Sep;138(3):283‐287. doi: 10.1002/ijgo.12213 [DOI] [PubMed] [Google Scholar]
- 34. Gris J‐C, Cochery‐Nouvellon E, Bourgouignon C, et al. Reference values of coagulation assays performed for thrombophilia screening after a first venous thrombosis and their intra‐patient associations. Thromb Res. 2022. Jan 12;210:94‐103. doi: 10.1016/j.thromres.2022.01.005. Online ahead of print. [DOI] [PubMed] [Google Scholar]
- 35. Toulon P, Smahi M, De Pooter N. APTT therapeutic range for monitoring ufractionated heparin therapy. Significant impact of the anti‐Xa reagent used for correlation. J Thromb Haemost. 2021. Aug;19(8):2002‐2006. doi: 10.1111/jth.15264 [DOI] [PubMed] [Google Scholar]
- 36. Swayngim R, Preslaski C, Burlew CC, Beyer J. Comparison of clinical outcomes using activated partial thromboplastin time versus antifactory ‐Xa for monitoring therapeutic unfractionated heparin: a systematic review and meta‐analysis. Thromb Res. 2021. Dec;208:18‐25. doi: 10.1016/j.thromres.2021.10.010 [DOI] [PubMed] [Google Scholar]
- 37. Feinbloom D, Freed J, Carbo A, Jung Y, Adra M, Herzig S. Incidence and risk factors for PTT prolongation in patients receiving low‐dose unfractionated heparin thromboprophylaxis. J Thromb Thrombolysis. 2021. Jul;52(1):331‐337. doi: 10.1007/s11239-020-02294-2 [DOI] [PubMed] [Google Scholar]
- 38. Vásquez‐Santiago M, Ziyatdinov A, Pujol‐Moix N, et al. Age and gender effects on 15 platelet phenotypes in a Spanish population. Comput Biol Med. 2016. Feb;1(69):226‐233. doi: 10.1016/j.compbiomed.2015.12.023 [DOI] [PubMed] [Google Scholar]
- 39. Marcinkowska A, Cisiecki S, Rozalski M. Platelet and thrombophilia ‐related risk factors of retinal vein occlusion. J Clin Med. 2021. Jul 12;10(14):3080. doi: 10.3390/jcm10143080 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Ntaios G, Papadopoulos A, Chatzinikolaou A, et al. Increased values of mean platelet volume and platelet size deviation width may provide a safe positive diagnosis of idiopathic thrombocytopenic purpura. Acta Haematol. 2008;119(3):173‐177. doi: 10.1159/000135658 [DOI] [PubMed] [Google Scholar]
- 41. Martin J, Kristensen S, Mathur A, Grove E, Choudry F. The causal role of megakaryocyte ‐platelet hyperactivity in acute coronary syndromes. Nat Rev Cardiol. 2012. Nov;9(11):658‐670. doi: 10.1038/nrcardio.2012.131 [DOI] [PubMed] [Google Scholar]
- 42. Chen Q, Chen Y, Zhang Y, et al. Prognostic impact of platelet‐ large cell ratio in myelodysplastic syndromes. Front Oncol. 2022. Apr 1;12:846044. doi: 10.3389/fonc.2022.846044 eCollection 2022. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Data can be obtained from the corresponding author upon reasonable request.