1. Introduction
Thrombophilia is a tendency towards hypercoagulability, and it is caused by genetic or acquired hemostasis conditions [
1]. Pregnancy by itself favors hypercoagulability [
2], which accelerates during pregnancy and reaches its highest point peripartum [
3]. Thrombophilia alters pregnancy outcomes due to hypercoagulability, stasis, and placental modifications [
4]. Intrauterine growth restriction can complicate thrombophilic pregnancies [
5]. Recurrent pregnancy losses are also frequent, and they even trigger the diagnosis of thrombophilia [
6]. In pregnancy losses in Romania, the factors involved were factor V Leiden homozygosity and antiphospholipid syndrome antibodies in first-trimester pregnancy losses, while protein C deficiency and glycoprotein Ia polymorphism were involved in the second-trimester group [
6]. In western Romania, the most frequent thrombophilic genetic markers were MTFHR gene mutation C677T, A1298C, and then the PAI-1 4G/5G gene mutation [
7]. In southern Romania, the type of thrombophilic mutation most commonly found was the MTHFR mutation (25.7%), which was followed by the mutation of the prothrombin gene (20.9%) and the mutation of Leiden factor V (15.7%) [
8].
The administration of low-molecular-weight heparin (LMWH) is adapted to each pregnant patient. The treatment stops when labor pain occurs or 6 hours before the planned cesarean section, and it restarts after delivery [
9].
There were few thromboses and insignificant bleeding in the case of preventive LMWH therapy during pregnancy, with fewer cases of recurrent venous thromboembolisms than without it [
10]. They report a protective effect of LMWH on miscarriage in patients with a history of unexpected recurrent pregnancy losses due to thrombophilia [
11]. Thrombophilia treatment during pregnancy significantly reduced the risk of preterm birth by 2.44 times [
12]. In thrombophilia patients undergoing in vitro fertilization, LMWH treatment increased the number of live births with respect to ongoing pregnancies [
13].
One meta-analysis demonstrated that LMWH might not generate an outstanding increase in live births, but the involved studies were not homogenous at all [
14]. LMWH did not increase the number of live births in multiple gestation thrombophilic pregnant patients [
15]. Still, healthcare professionals recommend the prophylactic administration of LMWH in women with recurrent pregnancy losses [
16]. High-dose thromboprophylaxis did prevent thrombosis antepartum; still, neonatal outcomes were worse among mothers with thrombophilia [
17].
The recent COVID-19 pandemic accentuated the risk of thrombosis in pregnant patients [
18,
19,
20,
21], especially in those with thrombophilia; therefore, thromboprophylaxis is necessary. Still, the benefit of LMWH introduced in first-trimester thrombophilia patients is still debated [
18].
In a previous article [
22], we demonstrated that postpartum uterine involution was not significantly different between treated thrombophilia patients and non-thrombophilia patients. Moreover, the maternal and fetal outcomes were not different. Uterine involution only correlated with postpartum neutrophil and postpartum platelet counts. Therefore, we considered that there may be an underlying inflammatory state that persisted despite treatment, and we further analyzed it within the same group of patients. The inflammation indexes studied were the neutrophil–lymphocyte ratio, derived neutrophil–lymphocyte ratio, monocyte–lymphocyte ratio, platelet–lymphocyte ratio, systemic inflammatory index, systemic inflammatory response index, aggregate index of systemic inflammation, mean corpuscular volume–lymphocyte ratio, and cumulative inflammatory index.
2. Materials and Methods
We studied 160 pregnant patients. There were 80 pregnant treated thrombophilia patients in the study group, and we chose another 80 patients who had similar age and parity. Patients were referred to our hospital for delivery at term by means of cesarean section between 1/10/2017 and 1/12/2021. This was a prospective study. All thrombophilia patients already had their diagnosis established. Treatment with low-molecular-weight heparin is ongoing. Our hospital cannot supply thrombophilia screening tests; thus, the control group had their blood sent for screening to specialized laboratories, yielding negative results. The exclusion criteria are as follows: patients suffering from thrombocytopenia (n=2), patients with deep vein thrombosis (n=0), and patients with cerebral thrombosis (n=0) [
22].
Every patient received a sonogram during the first 1-2 days after cesarean section, and the uterine evaluation was interpreted with the use of the PUUS scale (Postpartum Uterine Ultrasonographic Scale). This scale [
23,
24] counts the quarters of missing uterine vacuum lines, which could be due to blood or debris presence, as follows:
In grade 0, the uterine cavity is completely empty.
In grade 1, there is a small amount of blood or debris occupying less than one-quarter of the vacuum line.
In grade 2, there is a slightly larger amount of blood or debris occupying less than two-quarters of the vacuum line.
In grade 3, there is a large amount of blood or debris occupying less than three-quarters of the vacuum line.
In grade 4, there is a large amount of blood or debris occupying more than three-quarters of the vacuum line [
23,
24].
The values and characteristics of the patients’ blood following analysis were extracted from the hospital’s medical records. For this study, the complete blood count values—the first count is obtained postpartum and the last count is obtained antepartum—were considered. Hospital policy requires blood analyses both 24 hours before and after labor [
22]. From these values, we calculated inflammation indexes NLR, dNLR, MLR, PLR, SII, SIRI, AISI, MCVL, and IIC as follows:
NLR= number of neutrophils/number of lymphocytes. MLR= number of monocytes/number of lymphocytes. PLR= number of platelets/number of lymphocytes. dNLR= number of neutrophils/difference between the number of white blood cells and number of neutrophils. SII= number of neutrophils x number of platelets/number of lymphocytes. SIRI= number of neutrophils x number of monocytes/number of lymphocytes. AISI= number of neutrophils x number of monocytes x number of platelets/number of lymphocytes. MCVL= mean corpuscular volume/number of lymphocytes. IIC= mean corpuscular volume x width of erythrocyte distribution x number of neutrophils/one thousand times the number of lymphocytes.[
25]
We performed the blood analysis using MAN-HEMATO Laboratory Equipment.
We performed the data analysis via SPSS version 18 (PASW Statistics for Windows, Chicago: SPSS Inc., Chicago, IL, USA). We determined mean and median values, standard deviations, and quartiles. We also used the nonparametric Mann–Whitney U test and Spearman’s correlation. We considered p<0.05 as significant [
22].
3. Results
One patient with thrombophilia had incomplete data; thus, she was removed from this study, leaving 79 patients with thrombophilia and 80 patients without thrombophilia; all pregnant patients were at term.
3.1. Inflammation indexes in pregnant patients and the postpartum period
The PLR index is significantly higher in healthy, non-thrombophilia patients compared to treated thrombophilia patients. The other inflammatory indexes are not significantly different between the two groups of pregnant patients.
Table 1.
Inflammation indexes: mean numbers in the first row and median numbers in the second row. In brackets: standard deviation in the first row and quartiles 1 and 3 in the second row of every index for pregnant treated thrombophilia patients at term compared to pregnant non-thrombophilia patients at term.
Table 1.
Inflammation indexes: mean numbers in the first row and median numbers in the second row. In brackets: standard deviation in the first row and quartiles 1 and 3 in the second row of every index for pregnant treated thrombophilia patients at term compared to pregnant non-thrombophilia patients at term.
Inflammation indexes and median (mean) values |
Pregnant Treated thrombophilia patients at term n=79 |
Pregnant Non-thrombophilia patients at term n=80 |
Significance, P
|
NLR |
2.23 (±.98) 2.08 (1.62 , 2.85) |
2.34 (±.93) 2.35 (1.69 , 2.78) |
.375 |
dNLR |
1.3 (±.69) 1.23 (.83 , 1.68) |
1.31 (±.59) 1.23 (.94 , 1.63) |
.623 |
MLR |
.87 (±.46) .73 (.59 , 1.06) |
.95 (±.72) .75 (.50 , 1.15) |
.762 |
PLR |
100.9 (±35.61) 96.36 (78.66 , 117.08) |
109.27 (±29.66) 103.64 (89.42 , 130.85) |
.031 |
SII |
571.61 (±289.67) 518.65 (360.40 , 777.72) |
620.24 (±276.87) 598.64 (429.60 , 735.26) |
.224 |
SIRI |
4.53 (±2.47) 3.98 (3.01 , 5.31) |
4.98 (±4.11) 4.00 (2.74 , 5.92) |
.888 |
AISI |
1152.24 (±748.28) 990.62 (684.06 , 1399.34) |
1321.89 (±1103.44) 1017.99 (618.54 , 1517.14) |
.586 |
MCVL |
33.53 (±8.64) 32.23 (26.70 , 36.95) |
34.81 (±10.9) 33.77 (27.81 , 40.67) |
.507 |
IIC |
2.534 (±1.018) 2.372 (1.9 , 3.238) |
2.645 (±1.056) 2.623 (1.968 , 3.055) |
.446 |
Table 2.
Postpartum inflammation indexes: mean numbers in the first row and median numbers in the second row. In brackets: standard deviation in the first row and quartiles 1 and 3 in the second row of every index for treated thrombophilia patients compared to non-thrombophilia patients.
Table 2.
Postpartum inflammation indexes: mean numbers in the first row and median numbers in the second row. In brackets: standard deviation in the first row and quartiles 1 and 3 in the second row of every index for treated thrombophilia patients compared to non-thrombophilia patients.
Inflammation indexes and median (mean) values |
Treated thrombophilia patients |
Non-thrombophilia patients |
Significance, P
|
P NLR |
3.50 (±2.16) 2.91 (2.17 , 4.13) |
3.25 (±1.46) 2.96 (2.13 , 4.19) |
.894 |
P dNLR |
1.81 (±.93) 1.66 (1.20 , 2.22) |
1.72 (±.78) 1.71 (1.14 , 2.18) |
.721 |
P MLR |
.98 (±.51) .87 (.60 , 1.16) |
.95 (±.58) .84 (.57 , 1.09) |
.404 |
P PLR |
96.57 (±37.54) 92.77 (70.63 , 111.58) |
99.37 (±32.29) 92.15 (80.22 , 114.97) |
.446 |
P SII |
776.68 (±546.28) 631.34 (448.23 , 903.34) |
789.98 (±431.23) 736.45 (466.27 , 1004.78) |
.405 |
P SIRI |
7.28 (±4.90) 6.23 (3.59 , 9.36) |
7.46 (±5.77) 5.74 (4.08 , 8.82) |
.918 |
P AISI |
1619.13 (±1290.83) 1190.43 (842.76 , 1975.12) |
1835.74 (±1501.34) 1262.49 (846.34 , 2116.79) |
.392 |
P MCVL |
36.84 (±14.16) 34.49 (27.54 , 42.06) |
35.37 (±11.29) 34.21 (28.01 , 38.88) |
.716 |
P IIC |
3.959 (±2.459) 3.502 (2.470 , 4.534) |
3.726 (±1.644) 3.405 (2.446 , 4.917) |
.914 |
There were no significant differences between the postpartum inflammatory indices in the two groups of patients. Still, some patients managed to have their uterine cavity closed within the first 24 hours postpartum, while others did not. We further analyzed the situation via the postpartum uterine ultrasonographic scale (PUUS).
3.2. Inflammation indexes in different PUUS categories of patients
In thrombophilia patients, because there are only 14 thrombophilia patients with a PUUS of 1-4 and 65 patients with PUUS 0, we divided the patients into two groups: PUUS=0 (with the uterine cavity closed) and PUUS ≥1 (with the uterine cavity still open, in various degrees). Moreover, we compared the inflammation indexes among them. The same was carried out for non-thrombophilia patients. Because there were only 11 non-thrombophilia patients with a PUUS of 1-4 and 69 patients with PUUS 0, we divided the patients into two groups: PUUS=0 (with the uterine cavity closed) and PUUS ≥1 (with the uterine cavity still open, in various degrees).
Table 3.
Inflammation indexes: mean numbers in the first row and median numbers in the second row. In brackets: standard deviation in the first row and quartiles 1 and 3 in the second row of every index for pregnant treated thrombophilia patients at term whose uterine cavity was closed (PUUS=0) or not closed (PUUS≥1).
Table 3.
Inflammation indexes: mean numbers in the first row and median numbers in the second row. In brackets: standard deviation in the first row and quartiles 1 and 3 in the second row of every index for pregnant treated thrombophilia patients at term whose uterine cavity was closed (PUUS=0) or not closed (PUUS≥1).
Inflammation indexes and median (mean) values |
PUUS≥1 |
PUUS=0 |
Significance, P
|
NLR |
2.52 (±.73) 2.54 (1.93 , 3.11) |
2.17 (±1.02) 2.07 (1.589 , 2.81) |
.103 |
dNLR |
1.42 (±.48) 1.38 (.94 , 1.80) |
1.27 (±.73) 1.20 (.78 , 1.68) |
.180 |
MLR |
.79 (±.25) .79 (.59 , 1.00) |
.88 (±.49) .73 (.60 , 1.18) |
.964 |
PLR |
112.49 (±29.51) 107.91 (85.97 , 125.83) |
98.40 (±36.51) 92.93 (78.30 , 111.73) |
.070 |
SII |
716.47 (±280.34) 680.79 (480.61 , 861.16) |
540.41 (±284.12) 488.82 (346.65 , 719.35) |
.036 |
SIRI |
5.39 (±2.47) 5.03 (3.61 , 6.12) |
4.34 (±2.45) 3.88 (2.97 , 4.83) |
.074 |
AISI |
1388.84 (±595.12) 1382.85 (903.55 , 1593.69) |
1101.28 (±771.74) 913.78 (645.32 , 1274.79) |
.025 |
MCVL |
34.51 (±11.94) 31.51 (25.46 , 43.86) |
33.32 (±7.85) 32.23 (28.14 , 36.85) |
.748 |
IIC |
2.923 (±.846) 2.987 (2.152 , 3.604) |
2.450 (±1.038) 2.244 (1.831 , 3.116) |
.081 |
In pregnant treated thrombophilia patients, the patients who did not manage to have their uterine cavity closed within the first 24-48 hours (PUUS≥1) had significantly higher SII and AISI inflammation indexes than those who did manage to have their uterine cavity closed (PUUS=0).
Table 4.
Inflammation indexes: mean numbers in the first row and median numbers in the second row. In brackets: standard deviation in the first row and quartiles 1 and 3 in the second row of every index for postpartum treated thrombophilia patients whose uterine cavity was closed (PUUS=0) or was not closed (PUUS≥1).
Table 4.
Inflammation indexes: mean numbers in the first row and median numbers in the second row. In brackets: standard deviation in the first row and quartiles 1 and 3 in the second row of every index for postpartum treated thrombophilia patients whose uterine cavity was closed (PUUS=0) or was not closed (PUUS≥1).
Inflammation indexes and median (mean) values |
PUUS≥1 |
PUUS=0 |
Significance, P
|
P NLR |
4.22 (±3.16) 3.43 (2.64 , 4.36) |
3.33 (±1.85) 2.74 (2.10 , 4.01) |
.286 |
P dNLR |
2.02 (±.82) 1.90 (1.32 , 2.41) |
1.76 (±.95) 1.63 (1.18 , 2.16) |
.259 |
P MLR |
.95 (±.55) .89 (.54 , 1.05) |
.99 (±.50) .87 (.63 , 1.18) |
.554 |
P PLR |
114.67 (±57.87) 93.73 (81.36 , 125.34) |
92.41 (±30.3) 92.77 (68.55 , 106.81) |
.216 |
P SII |
1037.69 (±805.52) 887.59 (540.46 , 1170.70) |
716.77 (±455.98) 606.78 (442.24 , 833.00) |
.062 |
P SIRI |
8.45 (±6.93) 7.06 (5.32 , 9.36) |
7.01 (±4.34) 5.66 (3.59 , 8.60) |
.377 |
P AISI |
2080.97 (±1753.76) 1883.55 (1255.64 , 2377.92) |
1513.13 (±1152.15) 1057.91 (842.76 , 1777.35) |
.082 |
P MCVL |
40.13 (±20.88) 34.53 (25.36 , 49.75) |
36.08 (±12.24) 34.49 (28.00 , 41.46) |
.967 |
P IIC |
4.866 (±3.675) 3.908 (3.132 , 5.032) |
3.751 (±2.073) 3.355 (2.406 , 4.469) |
.231 |
In postpartum treated thrombophilia patients, there was no significant difference in the postpartum inflammation indexes of patients who did not manage to have their uterine cavity closed within the first 24-48 hours (PUUS≥1) compared to those who did manage to have their uterine cavity closed (PUUS=0).
Table 5.
Inflammation indexes: mean numbers in the first row and median numbers in the second row. In brackets: standard deviation in the first row and quartiles 1 and 3 in the second row of every index for pregnant non-thrombophilia patients at term whose uterine cavity was closed (PUUS=0) or was not closed (PUUS≥1).
Table 5.
Inflammation indexes: mean numbers in the first row and median numbers in the second row. In brackets: standard deviation in the first row and quartiles 1 and 3 in the second row of every index for pregnant non-thrombophilia patients at term whose uterine cavity was closed (PUUS=0) or was not closed (PUUS≥1).
Inflammation indexes and median (mean) values |
PUUS≥1 |
PUUS=0 |
Significance, P
|
NLR |
2.60 (±1.22) 2.47 (1.68 , 2.82) |
2.29 (±.88) 2.35 (1.70 , 2.78) |
.650 |
dNLR |
1.35 (±.36) 1.28 (1.12 , 1.55) |
1.31 (±.62) 1.22 (.91 , 1.64) |
.716 |
MLR |
1.00 (±1.10) .62 (.47 , .81) |
.94 (±.64) .77 (.50 , 1.15) |
.507 |
PLR |
110.58 (±47.34) 98.28 (83.16 , 139.76) |
109.60 (±26.30) 104.20 (90.43 , 130.55) |
.753 |
SII |
689.02 (±322.60) 591.21 (434.29 , 911.63) |
609.28 (±269.94) 598.65 (424.90 , 712.83) |
.610 |
SIRI |
6.48 (±7.47) 3.76 (2.82 , 5.92) |
4.74 (±3.32) 4.09 (2.72 , 5.91) |
.944 |
AISI |
1722.22 (±1787.84) 1016.31 (565.57 , 2386.90) |
1258.07 (±956.26) 1019.68 (639.60 , 1478.96) |
.839 |
MCVL |
37.57 (±21.08) 28.65 (23.07 , 47.08) |
34.37 (±8.44) 34.06 (29.22 , 40.44) |
.398 |
IIC |
2.978 (±1.459) 2.707 (1.927 , 3.066) |
2.592 (±.980) 2.591 (1.979 , 3.021) |
.581 |
In pregnant non-thrombophilia patients, there was no significant difference between the inflammation indexes in patients who did not manage to have their uterine cavity closed within the first 24-48 hours (PUUS≥1) compared to those who did manage to have their uterine cavity closed (PUUS=0).
Table 6.
Inflammation indexes: Mean numbers in the first row and median numbers in the second row. In brackets: standard deviation in the first row and quartiles 1 and 3 in the second row of every index for postpartum non-thrombophilia patients whose uterine cavity was closed (PUUS=0) or was not closed (PUUS≥1).
Table 6.
Inflammation indexes: Mean numbers in the first row and median numbers in the second row. In brackets: standard deviation in the first row and quartiles 1 and 3 in the second row of every index for postpartum non-thrombophilia patients whose uterine cavity was closed (PUUS=0) or was not closed (PUUS≥1).
Inflammation indexes and median (mean) values |
PUUS≥1 |
PUUS=0 |
Significance, P
|
P NLR |
3.71 (±1.37) 3.88 (2.42 , 4.74) |
3.17 (±1.47) 2.90 (2.05 , 4.11) |
.216 |
P dNLR |
1.77 (±.73) 1.45 (1.12 , 2.55) |
1.72 (±.80) 1.71 (1.16 , 2.16) |
.827 |
P MLR |
1.25 (±.98) .89 (.67 , 1.22) |
.89 (±.47) .79 (.57 , 1.06) |
.284 |
P PLR |
112.95 (±53.61) 110.55 (82.35 , 143.19) |
96.93 (±26.74) 90.94 (80.00 , 114.65) |
.377 |
P SII |
953.77 (±535.37) 786.47 (556.41 , 1247.15) |
760.44 (±408.01) 725.34 (463.09 , 999.56) |
.320 |
P SIRI |
9.61 (±5.29) 7.80 (5.03 , 14.64) |
7.07 (±5.80) 5.58 (3.90 , 7.71) |
.058 |
P AISI |
2592.95 (±1892.15) 2058.45 (1030.08 , 4473.85) |
1699.19 (±1395.16) 1208.70 (836.37 , 2004.36) |
.143 |
P MCVL |
40.95 (±22.63) 32.22 (21.99 , 58.09) |
34.36 (±7.66) 34.23 (28.78 , 38.77) |
.956 |
P IIC |
4.237 (±1.539) 4.727 (2.779 , 5.423) |
3.634 (±1.657) 3.347 (2.436 , 4.735) |
.237 |
In postpartum non-thrombophilia patients, there was no significant difference between the postpartum inflammation indexes in patients who did not manage to have their uterine cavity closed within the first 24-48 hours (PUUS≥1) compared to those who did manage to have their uterine cavity closed (PUUS=0).
3.3. Correlations between inflammation indexes and age
There was no correlation between inflammation indexes and age before or after birth in treated thrombophilia patients.
Table 7.
Nonparametric (Spearman’s) correlation between inflammation indexes and age in pregnant treated thrombophilia patients at term and postpartum treated thrombophilia patients.
Table 7.
Nonparametric (Spearman’s) correlation between inflammation indexes and age in pregnant treated thrombophilia patients at term and postpartum treated thrombophilia patients.
Inflammation indexes in pregnant treated thrombophilia patients |
Significance (2-tailed) |
Inflammation indexes in postpartum treated thrombophilia patients |
Significance (2-tailed) |
NLR |
0.967 |
P NLR |
0.333 |
dNLR |
0.768 |
P dNLR |
0.326 |
MLR |
0.619 |
P MLR |
0.360 |
PLR |
0.510 |
P PLR |
0.306 |
SII |
0.458 |
P SII |
0.932 |
SIRI |
0.231 |
P SIRI |
0.751 |
AISI |
0.076 |
P AISI |
0.700 |
MCVL |
0.0009 |
P MCVL |
0.025 |
IIC |
0.728 |
P IIC |
0.582 |
Table 8.
Nonparametric (Spearman’s) correlation between inflammation indexes and age in pregnant non-thrombophilia patients at term and postpartum non-thrombophilia patients.
Table 8.
Nonparametric (Spearman’s) correlation between inflammation indexes and age in pregnant non-thrombophilia patients at term and postpartum non-thrombophilia patients.
Inflammation indexes in pregnant non-thrombophilia patients |
Significance (2-tailed) |
Inflammation indexes in postpartum non-thrombophilia patients |
Significance (2-tailed) |
NLR |
0.409 |
P NLR |
0.304 |
dNLR |
0.552 |
P dNLR |
0.221 |
MLR |
0.942 |
P MLR |
0.672 |
PLR |
0.900 |
P PLR |
0.177 |
SII |
0.131 |
P SII |
0.027 |
SIRI |
0.391 |
P SIRI |
0.116 |
AISI |
0.054 |
P AISI |
0.039 |
MCVL |
0.0002 |
P MCVL |
0.054 |
IIC |
0.687 |
P IIC |
0.259 |
In non-thrombophilia patients, there was a correlation in pregnant patients between MCVL and age. There was a correlation between P SII and age and also between P AISI and age in postpartum non-thrombophilia patients.
3.4. Correlations between inflammation indexes and ABO blood groups
There was no correlation between inflammation indexes and ABO blood groups before or after birth in treated thrombophilia patients.
Table 9.
Nonparametric (Kruskal–Wallis) correlation between inflammation indexes and the ABO blood group in pregnant treated thrombophilia patients at term and postpartum treated thrombophilia patients.
Table 9.
Nonparametric (Kruskal–Wallis) correlation between inflammation indexes and the ABO blood group in pregnant treated thrombophilia patients at term and postpartum treated thrombophilia patients.
Inflammation indexes in pregnant treated thrombophilia patients |
Asymp significance |
Inflammation indexes in postpartum treated thrombophilia patients |
Asymp significance |
NLR |
0.289 |
P NLR |
0.863 |
dNLR |
0.373 |
P dNLR |
0.521 |
MLR |
0.410 |
P MLR |
0.096 |
PLR |
0.287 |
P PLR |
0.416 |
SII |
0.154 |
P SII |
0.527 |
SIRI |
0.113 |
P SIRI |
0.549 |
AISI |
0.254 |
P AISI |
0.658 |
MCVL |
0.811 |
P MCVL |
0.829 |
IIC |
0.338 |
P IIC |
0.863 |
Table 10.
Nonparametric (Kruskal–Wallis) correlation between inflammation indexes and ABO blood group in pregnant non-thrombophilia patients at term and postpartum non-thrombophilia patients.
Table 10.
Nonparametric (Kruskal–Wallis) correlation between inflammation indexes and ABO blood group in pregnant non-thrombophilia patients at term and postpartum non-thrombophilia patients.
Inflammation indexes in pregnant non-thrombophilia patients |
Asymp significance |
Inflammation indexes in postpartum non-thrombophilia patients |
Asymp significance |
NLR |
0.796 |
P NLR |
0.570 |
dNLR |
0.718 |
P dNLR |
0.668 |
MLR |
0.739 |
P MLR |
0.440 |
PLR |
0.566 |
P PLR |
0.236 |
SII |
0.278 |
P SII |
0.220 |
SIRI |
0.417 |
P SIRI |
0.486 |
AISI |
0.296 |
P AISI |
0.342 |
MCVL |
0.637 |
P MCVL |
0.382 |
IIC |
0.471 |
P IIC |
0.553 |
There was no correlation between inflammation indexes and ABO blood groups before or after birth in non-thrombophilia patients.
3.5. Correlations between inflammation indexes and the Rh blood factor
In pregnant treated thrombophilia patients, MLR is higher in patients without Rh factor (Rh-negative patients) than in those with the Rh factor (Rh-positive patients): median (1.30 versus .72) and mean values (1.14 versus .83).
Table 11.
Nonparametric (Spearman’s) correlation between inflammation indexes and Rh blood factor in pregnant treated thrombophilia patients at term and postpartum treated thrombophilia patients.
Table 11.
Nonparametric (Spearman’s) correlation between inflammation indexes and Rh blood factor in pregnant treated thrombophilia patients at term and postpartum treated thrombophilia patients.
Inflammation indexes in pregnant treated thrombophilia patients |
Significance (2-tailed) |
Inflammation indexes in postpartum treated thrombophilia patients |
Significance (2-tailed) |
NLR |
0.740 |
P NLR |
0.525 |
dNLR |
0.413 |
P dNLR |
0.925 |
MLR |
0.049 |
P MLR |
0.142 |
PLR |
0.478 |
P PLR |
0.680 |
SII |
0.793 |
P SII |
0.492 |
SIRI |
0.284 |
P SIRI |
0.057 |
AISI |
0.700 |
P AISI |
0.096 |
MCVL |
0.459 |
P MCVL |
0.959 |
IIC |
0.988 |
P IIC |
0.719 |
Table 12.
Nonparametric (Spearman’s) correlation between inflammation indexes and the Rh blood factor in pregnant non-thrombophilia patients at term and postpartum non-thrombophilia patients.
Table 12.
Nonparametric (Spearman’s) correlation between inflammation indexes and the Rh blood factor in pregnant non-thrombophilia patients at term and postpartum non-thrombophilia patients.
Inflammation indexes in pregnant non-thrombophilia patients |
Significance (2-tailed) |
Inflammation indexes in postpartum non-thrombophilia patients |
Significance (2-tailed) |
NLR |
0.779 |
P NLR |
0.986 |
dNLR |
0.981 |
P dNLR |
0.986 |
MLR |
0.962 |
P MLR |
0.823 |
PLR |
0.822 |
P PLR |
0.872 |
SII |
0.470 |
P SII |
0.858 |
SIRI |
0.981 |
P SIRI |
0.591 |
AISI |
0.542 |
P AISI |
0.667 |
MCVL |
0.597 |
P MCVL |
0.591 |
IIC |
0.542 |
P IIC |
0.914 |
There was no correlation between inflammation indexes and the Rh blood factor before or after birth in non-thrombophilia patients.
3.6. Correlations between inflammation indexes and maternal height
There was no correlation between inflammation indexes and maternal height before or after birth in treated thrombophilia patients.
Table 13.
Nonparametric (Spearman’s) correlation between inflammation indexes and maternal height in pregnant treated thrombophilia patients at term and postpartum treated thrombophilia patients.
Table 13.
Nonparametric (Spearman’s) correlation between inflammation indexes and maternal height in pregnant treated thrombophilia patients at term and postpartum treated thrombophilia patients.
Inflammation indexes in pregnant treated thrombophilia patients |
Significance (2-tailed) |
Inflammation indexes in postpartum treated thrombophilia patients |
Significance (2-tailed) |
NLR |
0.314 |
P NLR |
0.346 |
dNLR |
0.306 |
P dNLR |
0.144 |
MLR |
0.320 |
P MLR |
0.264 |
PLR |
0.775 |
P PLR |
0.589 |
SII |
0.547 |
P SII |
0.826 |
SIRI |
0.921 |
P SIRI |
0.669 |
AISI |
0.730 |
P AISI |
0.348 |
MCVL |
0.441 |
P MCVL |
0.726 |
IIC |
0.386 |
P IIC |
0.534 |
Table 14.
Nonparametric (Spearman’s) correlation between inflammation indexes and maternal height in pregnant non-thrombophilia patients at term and postpartum non-thrombophilia patients.
Table 14.
Nonparametric (Spearman’s) correlation between inflammation indexes and maternal height in pregnant non-thrombophilia patients at term and postpartum non-thrombophilia patients.
Inflammation indexes in pregnant non-thrombophilia patients |
Significance (2-tailed) |
Inflammation indexes in postpartum non-thrombophilia patients |
Significance (2-tailed) |
NLR |
0.649 |
P NLR |
0.449 |
dNLR |
0.336 |
P dNLR |
0.701 |
MLR |
0.226 |
P MLR |
0.254 |
PLR |
0.417 |
P PLR |
0.855 |
SII |
0.551 |
P SII |
0.898 |
SIRI |
0.138 |
P SIRI |
0.568 |
AISI |
0.167 |
P AISI |
0.646 |
MCVL |
0.295 |
P MCVL |
0.548 |
IIC |
0.400 |
P IIC |
0.581 |
There was no correlation between inflammation indexes and maternal height before or after birth in non-thrombophilia patients.
3.7. Correlations between inflammation indexes and maternal weight
There was no correlation between inflammation indexes and maternal weight before or after birth in treated thrombophilia patients.
Table 15.
Nonparametric (Spearman’s) correlation between inflammation indexes and maternal weight in pregnant treated thrombophilia patients at term and postpartum treated thrombophilia patients.
Table 15.
Nonparametric (Spearman’s) correlation between inflammation indexes and maternal weight in pregnant treated thrombophilia patients at term and postpartum treated thrombophilia patients.
Inflammation indexes in pregnant treated thrombophilia patients |
Significance (2-tailed) |
Inflammation indexes in postpartum treated thrombophilia patients |
Significance (2-tailed) |
NLR |
0.811 |
P NLR |
0.318 |
dNLR |
0.715 |
P dNLR |
0.293 |
MLR |
0.672 |
P MLR |
0.590 |
PLR |
0.736 |
P PLR |
0.317 |
SII |
0.547 |
P SII |
0.159 |
SIRI |
0.582 |
P SIRI |
0.293 |
AISI |
0.391 |
P AISI |
0.281 |
MCVL |
0.927 |
P MCVL |
0.386 |
IIC |
0.894 |
P IIC |
0.409 |
Table 16.
Nonparametric (Spearman’s) correlation between inflammation indexes and maternal weight in pregnant non-thrombophilia patients at term and postpartum non-thrombophilia patients.
Table 16.
Nonparametric (Spearman’s) correlation between inflammation indexes and maternal weight in pregnant non-thrombophilia patients at term and postpartum non-thrombophilia patients.
Inflammation indexes in pregnant non-thrombophilia patients |
Significance (2-tailed) |
Inflammation indexes in postpartum non-thrombophilia patients |
Significance (2-tailed) |
NLR |
0.839 |
P NLR |
0.204 |
dNLR |
0.981 |
P dNLR |
0.257 |
MLR |
0.735 |
P MLR |
0.620 |
PLR |
0.403 |
P PLR |
0.523 |
SII |
0.638 |
P SII |
0.492 |
SIRI |
0.916 |
P SIRI |
0.553 |
AISI |
0.886 |
P AISI |
0.571 |
MCVL |
0.152 |
P MCVL |
0.861 |
IIC |
0.606 |
P IIC |
0.234 |
There was no correlation between inflammation indexes and maternal weight before or after birth in non-thrombophilia patients.
3.8. Correlations between inflammation indexes and maternal BMI
There was no correlation between inflammation indexes and maternal BMI before or after birth in treated thrombophilia patients. Still, there was a close to significant (p=0.51) correlation between postpartum dNLR and BMI.
Table 17.
Nonparametric (Spearman’s) correlation between inflammation indexes and maternal BMI in pregnant treated thrombophilia patients at term and postpartum treated thrombophilia patients.
Table 17.
Nonparametric (Spearman’s) correlation between inflammation indexes and maternal BMI in pregnant treated thrombophilia patients at term and postpartum treated thrombophilia patients.
Inflammation indexes in pregnant treated thrombophilia patients |
Significance (2-tailed) |
Inflammation indexes in postpartum treated thrombophilia patients |
Significance (2-tailed) |
NLR |
0.496 |
P NLR |
0.102 |
dNLR |
0.410 |
P dNLR |
0.051 |
MLR |
0.944 |
P MLR |
0.976 |
PLR |
0.671 |
P PLR |
0.451 |
SII |
0.366 |
P SII |
0.091 |
SIRI |
0.692 |
P SIRI |
0.307 |
AISI |
0.496 |
P AISI |
0.421 |
MCVL |
0.993 |
P MCVL |
0.351 |
IIC |
0.659 |
P IIC |
0.219 |
Table 18.
Nonparametric (Spearman’s) correlation between inflammation indexes and maternal BMI in pregnant non-thrombophilia patients at term and postpartum non-thrombophilia patients.
Table 18.
Nonparametric (Spearman’s) correlation between inflammation indexes and maternal BMI in pregnant non-thrombophilia patients at term and postpartum non-thrombophilia patients.
Inflammation indexes in pregnant non-thrombophilia patients |
Significance (2-tailed) |
Inflammation indexes in postpartum non-thrombophilia patients |
Significance (2-tailed) |
NLR |
0.708 |
P NLR |
0.609 |
dNLR |
0.984 |
P dNLR |
0.333 |
MLR |
0.519 |
P MLR |
0.241 |
PLR |
0.887 |
P PLR |
0.613 |
SII |
0.712 |
P SII |
0.654 |
SIRI |
0.358 |
P SIRI |
0.955 |
AISI |
0.641 |
P AISI |
0.823 |
MCVL |
0.370 |
P MCVL |
0.278 |
IIC |
0.643 |
P IIC |
0.593 |
There was no correlation between inflammation indexes and maternal BMI before or after birth in non-thrombophilia patients.
3.9. Correlations between inflammation indexes and fetal weight
There was no correlation between inflammation indexes and fetal weight before or after birth in treated thrombophilia patients.
Table 19.
Nonparametric (Spearman’s) correlation between inflammation indexes and fetal weight in pregnant treated thrombophilia patients at term and postpartum treated thrombophilia patients.
Table 19.
Nonparametric (Spearman’s) correlation between inflammation indexes and fetal weight in pregnant treated thrombophilia patients at term and postpartum treated thrombophilia patients.
Inflammation indexes in pregnant treated thrombophilia patients |
Significance (2-tailed) |
Inflammation indexes in postpartum treated thrombophilia patients |
Significance (2-tailed) |
NLR |
0.775 |
P NLR |
0.520 |
dNLR |
0.690 |
P dNLR |
0.255 |
MLR |
0.812 |
P MLR |
0.492 |
PLR |
0.722 |
P PLR |
0.609 |
SII |
0.371 |
P SII |
0.329 |
SIRI |
0.355 |
P SIRI |
0.688 |
AISI |
0.296 |
P AISI |
0.667 |
MCVL |
0.777 |
P MCVL |
0.896 |
IIC |
0.977 |
P IIC |
0.531 |
Table 20.
Nonparametric (Spearman’s) correlation between inflammation indexes and fetal weight in pregnant non-thrombophilia patients at term and postpartum non-thrombophilia patients.
Table 20.
Nonparametric (Spearman’s) correlation between inflammation indexes and fetal weight in pregnant non-thrombophilia patients at term and postpartum non-thrombophilia patients.
Inflammation indexes in pregnant non-thrombophilia patients |
Significance (2-tailed) |
Inflammation indexes in postpartum non-thrombophilia patients |
Significance (2-tailed) |
NLR |
0.112 |
P NLR |
0.226 |
dNLR |
0.075 |
P dNLR |
0.313 |
MLR |
0.652 |
P MLR |
0.809 |
PLR |
0.355 |
P PLR |
0.737 |
SII |
0.356 |
P SII |
0.237 |
SIRI |
0.999 |
P SIRI |
0.351 |
AISI |
0.921 |
P AISI |
0.228 |
MCVL |
0.415 |
P MCVL |
0.924 |
IIC |
0.315 |
P IIC |
0.248 |
There was no correlation between inflammation indexes and fetal weight before or after birth in non-thrombophilia patients.
3.10. Correlations between inflammation indexes and Apgar score
There was no correlation between inflammation indexes and the Apgar score before or after birth in treated thrombophilia patients.
Table 21.
Nonparametric (Spearman’s) correlation between inflammation indexes and the Apgar score in pregnant treated thrombophilia patients at term and postpartum treated thrombophilia patients.
Table 21.
Nonparametric (Spearman’s) correlation between inflammation indexes and the Apgar score in pregnant treated thrombophilia patients at term and postpartum treated thrombophilia patients.
Inflammation indexes in pregnant treated thrombophilia patients |
Significance (2-tailed) |
Inflammation indexes in postpartum treated thrombophilia patients |
Significance (2-tailed) |
NLR |
0.997 |
P NLR |
0.878 |
dNLR |
0.659 |
P dNLR |
0.954 |
MLR |
0.695 |
P MLR |
0.614 |
PLR |
0.593 |
P PLR |
0.423 |
SII |
0.580 |
P SII |
0.318 |
SIRI |
0.717 |
P SIRI |
0.606 |
AISI |
0.476 |
P AISI |
0.136 |
MCVL |
0.439 |
P MCVL |
0.206 |
IIC |
0.971 |
P IIC |
0.731 |
Table 22.
Nonparametric (Spearman’s) correlation between inflammation indexes and Apgar score in pregnant non-thrombophilia patients at term and postpartum non-thrombophilia patients.
Table 22.
Nonparametric (Spearman’s) correlation between inflammation indexes and Apgar score in pregnant non-thrombophilia patients at term and postpartum non-thrombophilia patients.
Inflammation indexes in pregnant non-thrombophilia patients |
Significance (2-tailed) |
Inflammation indexes in postpartum non-thrombophilia patients |
Significance (2-tailed) |
NLR |
0.836 |
P NLR |
0.131 |
dNLR |
0.991 |
P dNLR |
0.269 |
MLR |
0.833 |
P MLR |
0.822 |
PLR |
0.579 |
P PLR |
0.405 |
SII |
0.783 |
P SII |
0.120 |
SIRI |
0.983 |
P SIRI |
0.628 |
AISI |
0.680 |
P AISI |
0.576 |
MCVL |
0.647 |
P MCVL |
0.340 |
IIC |
0.843 |
P IIC |
0.148 |
There was no correlation between inflammation indexes and the Apgar score before or after birth in non-thrombophilia patients.
4. Discussion
Although most inflammatory indexes are similar in the two groups of pregnant patients, the PLR index was significantly higher in healthy, non-thrombophilia patients compared to treated thrombophilia patients. This is in accordance with other authors who observed that patients with a non-immunological disease had an increased PLR baseline value [
26].
There were similar values in the postpartum inflammatory indices in the two groups of patients. Still, some patients managed to have their uterine cavity closed postpartum within the first 24 hours, while others did not. We further analyzed the situation via the postpartum uterine ultrasonographic scale (PUUS). We split the patients into two groups: those with a closed uterine cavity (PUUS=0) and those with their uterine cavity still open in various degrees (PUUS≥1).
In
pregnant treated thrombophilia patients, patients who did not have their uterine cavity closed within the first 24-48 hours (PUUS≥1) had significantly higher SII and AISI inflammation indexes than those with a closed uterine cavity (PUUS=0). SII and AISI increase relative to inflammation and infection according to many studies: SII and SIRI are more reliable biomarkers than other inflammation parameters in hidradenitis suppurativa patients [
27]. The SII index showed high accuracies for the prediction of deep neck infection complications [
28]. The SII value was significantly higher in non-survivors than that of survivors, and it was identified as an independent predictor of sepsis mortality [
29]. In children presenting with abdominal pain, high SIRI and SII values alone support the diagnosis of acute appendicitis at a rate of 95% [
30]. The systemic immune inflammation index was significantly higher in the severe COVID-19 and pregnant patient group than in the mild COVID-19 and pregnant patient group [
31]. SII proved to be a good predictor of inflammation and abortion in those with ongoing pregnancy [
32,
33]. An inflammatory state was observed in cases of late uterine involution [
34]. This proved our working hypothesis: there is an underlying inflammatory state, which persisted despite treatment in some patients.
As for AISI, in patients with COVID-19, increased values upon admission predict severe or fatal evolution [
35]; therefore, determining the AISI value upon admission can help triage the patients with a bad prognosis [
36]. In patients with hemophagocytic lymphohistiocytosis, the aggregate index of systemic inflammation (AISI) was also an independent risk factor for 28-day mortality [
37]. After aortic valve replacement, AISI was a statistically significant independent factor associated with in-hospital death [
38]. This also proved our working hypothesis: there is an underlying inflammatory state, and it persisted despite treatment in some patients. Moreover, in adults with hypertension, elevated AISI levels are significantly associated with an increased risk of cardiovascular mortality [
39]. This means that a cardiovascular factor may also be involved in the delay in uterine involution in treated thrombophilia patients.
In
postpartum treated thrombophilia patients, there was no significant difference between the postpartum inflammation indexes in patients who did not have their uterine cavity closed within the first 24-48 hours (PUUS≥1) compared to those who did manage to have their uterine cavity closed (PUUS=0). This is reasonable because, as discovered in [
40], only a few patients had severe complications after cesarean section, and delays in closing the uterine cavity are not a complication.
In pregnant and postpartum non-thrombophilia patients, there was no significant difference between the inflammation indexes in patients who did not manage to have their uterine cavity closed within the first 24-48 hours (PUUS≥1) compared to those who did manage to have their uterine cavity closed (PUUS=0). Other factors that may have been involved primarily include the following: number of gestations, number of parity, etc.
There was no correlation between inflammation indexes and age before or after birth in treated thrombophilia patients. In non-thrombophilia patients, there was a correlation between MCVL and age in pregnant patients. This correlation has not been reported before. There was also a correlation between postpartum SII and age and between postpartum AISI and age in postpartum non-thrombophilia patients. These findings have not been previously reported.
Patients with group O blood (a blood group with lower baseline levels of von Willebrand factor) have a lower risk of COVID-19 infection and disease severity compared to other ABO blood groups [
41]; therefore, coagulation characteristics and early fibrinogenesis may vary between ABO groups [
42]. There was no correlation between inflammation indexes and ABO blood groups before or after birth in treated thrombophilia patients or non-thrombophilia patients. This means that thrombophilia treatment was appropriate.
In pregnant treated thrombophilia patients, MLR is higher in patients without the Rh factor than in those with the Rh factor. There was no correlation between inflammation indexes and the Rh blood factor before or after birth in non-thrombophilia patients. MLR may serve as a potential indicator for predicting the progression of hematoma after cerebral contusion [
43]. The MLR was significantly higher in the HELLP group than in the normal pregnant patient control group at the delivery time [
44]. The monocyte value and monocyte/lymphocyte value (MLR) were significantly higher in the cesarean pregnancy group than in the control group [
45]. There have been no reports of higher MLR values in pregnant Rh-negative treated thrombophilia patients so far.
There was no correlation between inflammation indexes and maternal height or maternal weight before or after birth in treated thrombophilia patients or non-thrombophilia patients.
There was no correlation between inflammation indexes and maternal BMI before or after birth in treated thrombophilia patients. Still, there was a close to significant (p=0.51) correlation between postpartum dNLR and BMI. There was no correlation between inflammation indexes and maternal BMI before or after birth in non-thrombophilia patients.
There was no correlation between inflammation indexes and fetal weight or the Apgar score before or after birth in treated thrombophilia patients or non-thrombophilia patients.
5. Conclusions
In pregnant treated thrombophilia patients, patients who did not manage to have their uterine cavity closed within the first 24-48 hours (PUUS≥1) had significantly higher SII and AISI inflammation indexes than those who did manage to have their uterine cavity closed (PUUS=0). In pregnant treated thrombophilia patients, the MLR is higher in patients without the Rh factor than in those with the Rh factor.
The PLR index was significantly higher in healthy non-thrombophilia patients compared to treated thrombophilia patients. In non-thrombophilia patients, there was a correlation between MCVL and age in pregnant patients. There was also a correlation between postpartum SII and age and between postpartum AISI and age in postpartum non-thrombophilia patients.
Author Contributions
Conceptualization, Catalina Filip and Roxana Covali; Data curation, Ioana Sadyie Scripcariu and Tudor Butureanu; Formal analysis, Ingrid-Andrada Vasilache and Ioana Pavaleanu; Funding acquisition, Catalina Filip; Investigation, Mona Akad and Gabriela Dumachita-Sargu; Methodology, Alexandru Carauleanu; Project administration, Razvan Socolov; Software, Lucian Boiculese; Supervision, Razvan Socolov; Validation, Demetra Socolov and Alina Melinte; Visualization, Mona Akad; Writing – original draft, Catalina Filip and Roxana Covali; Writing – review & editing, Demetra Socolov and Alexandru Carauleanu. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
The 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 from September 17, 2017).
Informed Consent Statement
Written informed consent was obtained from all subjects involved in the study.
Data Availability Statement
Data from this study are available from the corresponding author upon reasonable request.
Conflicts of Interest
The authors declare no conflicts of interest.
References
- Dautaj, A.; Krasi, G.; Bushati, V.; Precone, V.; Gheza, M.; Fioretti, F.; Sartori, M.; Costantini, A.; Benedetti, S.; Bertelli, M. “Hereditary Thrombophilia.” Acta Bio Medica Atenei Parmensis, vol. 90, no. 10-S, Sept. 2019, pp. 44–46. DOI.org (CSL JSON). [CrossRef]
- Paidas, M.J.; Ku, D.-H.W.; Arkel, Y.S. Screening and Management of Inherited Thrombophilias in the Setting of Adverse Pregnancy Outcome. Clinics in Perinatology, vol. 31, no. 4, Dec. 2004, pp. 783–805. DOI.org (Crossref). [CrossRef]
- Samfireag, M.; Potre, C.; Potre, O.; Tudor, R.; Hoinoiu, T.; Anghel, A. Approach to Thrombophilia in Pregnancy—A Narrative Review. Medicina, vol. 58, no. 5, May 2022, p. 692. DOI.org (Crossref). [CrossRef]
- Hilali, C.; Aboulaghras, S.; Lamalmi, N. Pathophysiological, Immunogenetic, Anatomopathological Profile of Thrombophilia in Pregnancy. Transfusion Clinique et Biologique, vol. 30, no. 3, Aug. 2023, pp. 360–67. DOI.org (Crossref). [CrossRef]
- Mihai, B.M.; Salmen, T.; Cioca, A.M.; Bohîlţea, R.E. The Proper Diagnosis of Thrombophilic Status in Preventing Fetal Growth Restriction. Diagnostics, vol. 13, no. 3, Jan. 2023, p. 512. DOI.org (Crossref). [CrossRef]
- Iordache, O.; Anastasiu-Popov, D.M.; Anastasiu, D.M.; Craina, M.; Dahma, G.; Sacarin, G.; Silaghi, C.; Citu, C.; Daniluc, R.; Hinoveanu, D.; Feciche, B.; Bratosin, F.; Neamtu, R. A Retrospective Assessment of Thrombophilia in Pregnant Women with First and Second Trimester Pregnancy Loss. International Journal of Environmental Research and Public Health, vol. 19, no. 24, Dec. 2022, p. 16500. DOI.org (Crossref). [CrossRef]
- Samfireag, M.; Potre, C.; Potre, O.; Moleriu, L.C.; Petre, I.; Borsi, E.; Hoinoiu, T.; Preda, M.; Popoiu, T.A.; Anghel, A. Assessment of the Particularities of Thrombophilia in the Management of Pregnant Women in the Western Part of Romania. Medicina, vol. 59, no. 5, Apr. 2023, p. 851. DOI.org (Crossref). [CrossRef]
- Voicu, D.I.; Munteanu, O.; Gherghiceanu, F.; Arsene, L.V.; Bohîlţea, R.E.; Gradinaru, D.M.; Cîrstoiu, M.M. Maternal Inherited Thrombophilia and Pregnancy Outcomes. Experimental and Therapeutic Medicine, May 2020. DOI.org (Crossref). [CrossRef]
- Kobayashi, T. Clinical Guidance for Peripartum Management of Patients with Hereditary Thrombophilia. Journal of Obstetrics and Gynaecology Research, vol. 47, no. 9, Sept. 2021, pp. 3008–33. DOI.org (Crossref). [CrossRef]
- Novak, P.; Novak, A.; Šabović, M.; Kozak, M. Prophylactic Dose of Dalteparin in Pregnant Women With History of Venous Thromboembolisms and/or Thrombophilia: Real-World Data. Angiology, vol. 74, no. 8, Sept. 2023, pp. 783–89. DOI.org (Crossref). [CrossRef]
- Scarrone, M.; Canti, V.; Vanni, V.S.; Bordoli, S.; Pasi, F.; Quaranta, L.; Erra, R.; De Lorenzo, R.; Rosa, S.; Castiglioni, M.T.; Candiani, M.; Rovere-Querini, P. Treating Unexplained Recurrent Pregnancy Loss Based on Lessons Learned from Obstetric Antiphospholipid Syndrome and Inherited Thrombophilia: A Propensity-Score Adjusted Retrospective Study. Journal of Reproductive Immunology, vol. 154, Dec. 2022, p. 103760. DOI.org (Crossref). [CrossRef]
- Iordache, O.; Anastasiu, D.M.; Kakarla, M.; Ali, A.; Bratosin, F.; Neamtu, R.; Dumitru, C.; Olaru, F.; Erdelean, I.; Gherman, A.; Avram, C.R.; Stelea, L. Influence of Antiphospholipid Antibody-Associated Thrombophilia on the Risk of Preterm Birth: A Systematic Review. Journal of Clinical Medicine, vol. 12, no. 16, Aug. 2023, p. 5316. DOI.org (Crossref). [CrossRef]
- Lambert, J.R.; Ueno, J.; Fernandes, C.E.; Pompei, L.M. Prophylactic Low-molecular-weight Heparin in Women with Thrombophilia Undergoing in Vitro Fertilization. International Journal of Gynecology & Obstetrics, July 2023, p. ijgo.15005. DOI.org (Crossref). [CrossRef]
- Intzes, S.; Symeonidou, 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. Journal of Gynecology Obstetrics and Human Reproduction, vol. 50, no. 4, Apr. 2021, p. 101935. DOI.org (Crossref). [CrossRef]
- Quenby, S.; Booth, K.; Hiller, L.; Coomarasamy, A.; de Jong, P.; Hamulyák, E.; Scheres, L.; van Haaps, T.; Ewington, L.; Tewary, S.; Goddijn, M.; Middeldorp, S. ALIFE2Block Writing Committee; ALIFE2 Investigators. Heparin for Women with Recurrent Miscarriage and Inherited Thrombophilia (ALIFE2): An International Open-Label, Randomised Controlled Trial. The Lancet, vol. 402, no. 10395, July 2023, pp. 54–61. DOI.org (Crossref). [CrossRef]
- Dugalić, S.; Todorović, J.; Macura, M.; Vrzić Petronijević, S.; Petronijević, M.; Gojnić, M.; Sengul, D. ; Sengul. I.; Pelikán, A.; de Arruda Veiga, E.C. A Point of View on Hereditary Thrombophilia and Low-Molecular-Weight Heparin Incorporating the Management in Pregnancy and Involving Thyroidology. Revista Da Associação Médica Brasileira, vol. 69, no. 9, 2023, p. e20230735. DOI.org (Crossref). [CrossRef]
- Bremme, K.; Lannemyr, A.; Tyni, L.; Chaireti, R. Obstetric and Neonatal Outcomes in Pregnant Women Treated with High-Dose Thromboprophylaxis: A Retrospective, Single-Center Study. The Journal of Maternal-Fetal & Neonatal Medicine, vol. 34, no. 10, May 2021, pp. 1641–44. DOI.org (Crossref). [CrossRef]
- Varlas, V.N.; Bors, R.G.; Plotogea, M.; Iordache, M.; Mehedintu, C.; Cîrstoiu, M.M. Thromboprophylaxis in Pregnant Women with COVID-19: An Unsolved Issue. International Journal of Environmental Research and Public Health, vol. 20, no. 3, Jan. 2023, p. 1949. DOI.org (Crossref). [CrossRef]
- Covali, R.; Socolov, D.; Socolov, R.; Pavaleanu, I.; Carauleanu, A.; Akad, M.; Boiculese, V.L.; Adam, A.M. Complete Blood Count Peculiarities in Pregnant SARS-CoV-2-Infected Patients at Term: A Cohort Study. Diagnostics, vol. 12, no. 1, Dec. 2021, p. 80. DOI.org (Crossref). [CrossRef]
- Socolov, R.; Akad, M.; Pavaleanu, M.; Popovici, D.; Ciuhodaru, M.; Covali, R.; Akad, F.; Pavaleanu, I. The Rare Case of a COVID-19 Pregnant Patient with Quadruplets and Postpartum Severe Pneumonia. Case Report and Review of the Literature. Medicina, vol. 57, no. 11, Nov. 2021, p. 1186. DOI.org (Crossref). [CrossRef]
- Covali, R.; Socolov, D.; Pavaleanu, I.; Carauleanu, A.; Boiculese, V.L.; Socolov, R. SARS-CoV-2 Infection Susceptibility of Pregnant Patients at Term Regarding ABO and Rh Blood Groups: A Cohort Study. Medicina, vol. 57, no. 5, May 2021, p. 499. DOI.org (Crossref). [CrossRef]
- Filip, C.; Covali, R.; Socolov, D.; Carauleanu, A.; Tanasa, I.A.; Scripcariu, I.S.; Ciuhodaru, M.; Butureanu, T.; Pavaleanu, I.; Akad, M.; Boiculese, L.V.; Socolov, R. The Postpartum Uterine Ultrasonographic Scale in Assessment of Uterine Involution after Cesarean Section in Treated Thrombophilia Pregnant Patients at Term. Journal of Clinical Laboratory Analysis, vol. 36, no. 9, Sept. 2022, p. e24645. DOI.org (Crossref). [CrossRef]
- Covali, R.; Socolov, D.; Socolov, R.V.; Akad, M. Postpartum Uterine Ultrasonographic Scale: A Novel Method to Standardize the Assessment of Uterine Postpartum Involution. Journal of Medicine and Life, vol. 14, no. 4, Aug. 2021, pp. 511–17. DOI.org (Crossref). [CrossRef]
- Covali, R.; Socolov, D.; Carauleanu, A.; Pavaleanu, I.; Akad, M.; Boiculese, L.V.; Socolov, R.V. The Importance of the Novel Postpartum Uterine Ultrasonographic Scale in Numerical Assessments of Uterine Involution Regarding Perinatal Maternal and Fetal Outcomes. Diagnostics, vol. 11, no. 9, Sept. 2021, p. 1731. DOI.org (Crossref). [CrossRef]
- Filip, C.; Covali, R.; Socolov, D.; Akad, M.; Carauleanu, A.; Vasilache, I.A.; Scripcariu, I.S.; Pavaleanu, I.; Dumachita-Sargu, G.; Butureanu, T.; Boiculese, L.V.; Melinte, A.; Socolov, R. The Influence of Climate on Critically Ill Pregnant COVID-19 Patients, as Revealed by the Inflammation Indexes, in Spring versus Autumn 2021 Infection. Balneo and PRM Research Journal, no. Vol.14, 3, Sept. 2023, p. 571. DOI.org (Crossref). [CrossRef]
- Song, S.Y.; Lan, D.; Wu, X.Q.; Ding, Y.C.; Ji, X.M.; Meng, R. Clinical Characteristics, Inflammation and Coagulation Status in Patients with Immunological Disease-Related Chronic Cerebrospinal Venous Insufficiency. Annals of Translational Medicine, vol. 9, no. 3, Feb. 2021, pp. 236–236. DOI.org (Crossref). [CrossRef]
- Utlu, Z. Evaluation of Systemic Immune and Inflammatory Biomarkers in Hidradenitis Suppurativa. European Review for Medical and Pharmacological Sciences, vol. 27, no. 19, Oct. 2023, pp. 9267–72. DOI.org (CSL JSON). [CrossRef]
- Treviño-Gonzalez, J.l.; Acuña-Valdez, F.; Santos-Santillana, K.-M. Prognostic Value of Systemic Immune-Inflammation Index and Serological Biomarkers for Deep Neck Infections. Medicina Oral Patología Oral y Cirugia Bucal, 2020, pp. 0–0. DOI.org (Crossref). [CrossRef]
- Liu, C.; Wu, X.; Deng, R.; Xu, X.; Chen, C.; Wu, L.; Zhang, W.; Yang, H.; Fei, Y.; Sun, Y.; Zhou, S.; Fang, B. Systemic Immune-Inflammation Index Combined with Quick Sequential Organ Failure Assessment Score for Predicting Mortality in Sepsis Patients. Heliyon, vol. 9, no. 9, Sept. 2023, p. e19526. DOI.org (Crossref). [CrossRef]
- Siki, F.Ö.; Sarikaya, M.; Gunduz, M.; Sekmenli, T.; Korez, M.K.; Ciftci, I. Evaluation of the Systemic Immune Inflammation Index and the Systemic Inflammatory Response Index as New Markers for the Diagnosis of Acute Appendicitis in Children. Annals of Saudi Medicine, vol. 43, no. 5, Sept. 2023, pp. 329–38. DOI.org (Crossref). [CrossRef]
- Gündüz, Ö.; Seven, B.; Ozgu-Erdinc, A.S.; Ayhan, S.G.; Sahin, D.; Tekin, O.M.; Keskin, H.L. Correlation of Systemic Inflammation Biomarkers and Disease Severity in Pregnant Women with COVID-19. Revista Da Associação Médica Brasileira, vol. 69, no. 6, 2023, p. e20221614. DOI.org (Crossref). [CrossRef]
- Soysal, C.; Sari, H.; Işikalan, M.M.; Özkaya, E.B.; Ulaş, Ö.; Taşçi, Y.; Keskine, N. Role of the Systemic immune-inflammation Index in Threatened Abortion Patients and Predicting of Abortion. Journal of Obstetrics and Gynaecology Research, vol. 49, no. 7, July 2023, pp. 1723–28. DOI.org (Crossref). [CrossRef]
- Akad, M.; Socolov, R.; Furnica, C.; Covali, R.; Stan, C.D.; Crauciuc, E.; Pavaleanu, I. Kisspeptin Variations in Patients with Polycystic Ovary Syndrome—A Prospective Case Control Study. Medicina, vol. 58, no. 6, June 2022, p. 776. DOI.org (Crossref). [CrossRef]
- Falomo, M. E. , Del Re, B.; Rossi, M.; Giaretta, E.; Da Dalt, L.; Gabai, G. Relationship between Postpartum Uterine Involution and Biomarkers of Inflammation and Oxidative Stress in Clinically Healthy Mares (Equus Caballus). Heliyon, vol. 6, no. 4, Apr. 2020, p. e03691. DOI.org (Crossref). [CrossRef]
- Zinellu, A.; Paliogiannis, P.; Mangoni, A. Aggregate Index of Systemic Inflammation (AISI), Disease Severity, and Mortality in COVID-19: A Systematic Review and Meta-Analysis. Journal of Clinical Medicine, vol. 12, no. 14, July 2023, p. 4584. DOI.org (Crossref). [CrossRef]
- Ercan, Z. , Evren Öztop, K.; Pinar, M.; Varim, C.; Dheir, H.; Karacaer, C.; Yaylaci, S.; Bilal Genç, A.; Ҫekiç, D; Nalbant, A.; Cihad Genç, A. The Aggregate Index of Systemic Inflammation May Predict Mortality in COVID-19 Patients with Chronic Renal Failure. European Review for Medical and Pharmacological Sciences, vol. 27, no. 8, Apr. 2023, pp. 3747–52. DOI.org (CSL JSON). [CrossRef]
- Chen, X.; Wang, S.; Yang, J.; Wang, X.; Yang, L.; Zhou, J. The Predictive Value of Hematological Inflammatory Markers for Acute Kidney Injury and Mortality in Adults with Hemophagocytic Lymphohistiocytosis: A Retrospective Analysis of 585 Patients. International Immunopharmacology, vol. 122, Sept. 2023, p. 110564. DOI.org (Crossref). [CrossRef]
- Shvartz, V.; Sokolskaya, M.; Ispiryan, A.; Basieva, M.; Kazanova, P.; Shvartz, E.; Talibova, S.; Petrosyan, A.; Kanametov, T.; Donakanyan, S.; Bockeria, L.; Golukhova, E. The Role of «Novel» Biomarkers of Systemic Inflammation in the Development of Early Hospital Events after Aortic Valve Replacement in Patients with Aortic Stenosis. Life, vol. 13, no. 6, June 2023, p. 1395. DOI.org (Crossref). [CrossRef]
- Xiu, J.; Lin, X.; Chen, Q.; Yu, P.; Lu, J.; Yang, Y.; Chen, W.; Bao, K.; Wang, J.; Zhu, J.; Zhang, X.; Pan, Y.; Tu, J.; Chen, K.; Chen, L. The Aggregate Index of Systemic Inflammation (AISI): A Novel Predictor for Hypertension. Frontiers in Cardiovascular Medicine, vol. 10, May 2023, p. 1163900. DOI.org (Crossref). [CrossRef]
- .Leonard, P.; Crouse, D.; Boudreau, J.; Gupta, N.; McDonald, J. Provider Volume and Maternal Complications after Caesarean Section: Results from a Population-Based Study. BMC Pregnancy and Childbirth, vol. 20, no. 1, Dec. 2020, p. 37. DOI.org (Crossref). [CrossRef]
- Mei, Z.W.; van Wijk, X.; Pham, H.; Marine, M. Role of von Willebrand Factor in COVID-19 Associated Coagulopathy. The Journal of Applied Laboratory Medicine, vol. 6, no. 5, Sept. 2021, pp. 1305–15. DOI.org (Crossref). [CrossRef]
- Valenti, L.; Tripodi, A.; La Mura, V.; Pelusi, S.; Bianco, C.; Scalambrino, E.; Margarita, S.; Malvestiti, F.; Ronzoni, L.; Clerici, M.; D’Ambrosio, R.; Fraquelli, M.; Carpani, R.; Prati, D.; Peyvandi, F. Clinical and Genetic Determinants of the Fatty Liver–Coagulation Balance Interplay in Individuals with Metabolic Dysfunction. JHEP Reports, vol. 4, no. 12, Dec. 2022, p. 100598. DOI.org (Crossref). [CrossRef]
- Zhang, H.; Duan, X.; Zhang, Y.; Zhuang, G.; Cao, D.; Meng, W.; Yan, M.; Qi, W. Association Between Monocyte-to-Lymphocyte Ratio and Hematoma Progression After Cerebral Contusion. Neurocritical Care, Oct. 2023. DOI.org (Crossref). [CrossRef]
- İpek, G.; Tanaçan, A.; Ağaoğlu, Z.; Peker, A.; Şahine, D. Can SIRI or Other Inflammatory Indices Predict HELLP Syndrome in the First Trimester? Journal of Reproductive Immunology, vol. 159, Sept. 2023, p. 104126. DOI.org (Crossref). [CrossRef]
- Dogru, S.; Atci, A.A.; Akkus, F.; Erdogan, A.C.; Acar, A. Predictability of Hematological Parameters in the Diagnosis of Cesarean Scar Pregnancy. Journal of Laboratory Physicians, vol. 15, no. 03, Sept. 2023, pp. 425–30. DOI.org (Crossref). [CrossRef]
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