Role of the systemic <scp>immune‐inflammation</scp> index in threatened abortion patients and predicting of abortion

Soysal, Cenk; Sarı, Hatice Yıldırım; Işıkalan, Mehmet Murat; Özkaya, Eren Berkay; Erten, Özlem; Taşçı, Yasemin; Keskın, Nadi

doi:10.1111/jog.15655

Cited by 6 publications

(5 citation statements)

References 33 publications

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“…The role of systemic inflammatory reactions in the pathogenesis of EPL has been confirmed in several studies [ 51 – 54 ]. Inflammatory markers from complete blood count (CBC), such as platelet lymphocyte ratio (PLR), neutrophil-lymphocyte ratio (NLR), neutrophil to monocyte ratio (NMR), lymphocyte to monocyte ratio (LMR) and platelet to neutrophil ratio (PNR) are readily available [ 55 ].…”

Section: Discussionmentioning

confidence: 83%

Predicting risk of the subsequent early pregnancy loss in women with recurrent pregnancy loss based on preconception data

Yang,

Wang,

Zhang

et al. 2024

BMC Women's Health

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Background For women who have experienced recurrent pregnancy loss (RPL), it is crucial not only to treat them but also to evaluate the risk of recurrence. The study aimed to develop a risk predictive model to predict the subsequent early pregnancy loss (EPL) in women with RPL based on preconception data. Methods A prospective, dynamic population cohort study was carried out at the Second Hospital of Lanzhou University. From September 2019 to December 2022, a total of 1050 non-pregnant women with RPL were participated. By December 2023, 605 women had subsequent pregnancy outcomes and were randomly divided into training and validation group by 3:1 ratio. In the training group, univariable screening was performed on RPL patients with subsequent EPL outcome. The least absolute shrinkage and selection operator (LASSO) regression and multivariate logistic regression were utilized to select variables, respectively. Subsequent EPL prediction model was constructed using generalize linear model (GLM), gradient boosting machine (GBM), random forest (RF), and deep learning (DP). The variables selected by LASSO regression and multivariate logistic regression were then established and compared using the best prediction model. The AUC, calibration curve, and decision curve (DCA) were performed to assess the prediction performances of the best model. The best model was validated using the validation group. Finally, a nomogram was established based on the best predictive features. Results In the training group, the GBM model achieved the best performance with the highest AUC (0.805). The AUC between the variables screened by the LASSO regression (16-variables) and logistic regression (9-variables) models showed no significant difference (AUC: 0.805 vs. 0.777, P = 0.1498). Meanwhile, the 9-variable model displayed a well discrimination performance in the validation group, with an AUC value of 0.781 (95%CI 0.702, 0.843). The DCA showed the model performed well and was feasible for making beneficial clinical decisions. Calibration curves revealed the goodness of fit between the predicted values by the model and the actual values, the Hosmer–Lemeshow test was 7.427, and P = 0.505. Conclusions Predicting subsequent EPL in RPL patients using the GBM model has important clinical implications. Future prospective studies are needed to verify the clinical applicability. Trial registration This study was registered in the Chinese Clinical Trial Registry with the registration number of ChiCTR2000039414 (27/10/2020).

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Section: Discussionmentioning

confidence: 83%

Predicting risk of the subsequent early pregnancy loss in women with recurrent pregnancy loss based on preconception data

Yang,

Wang,

Zhang

et al. 2024

BMC Women's Health

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“…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 [43]. SII proved to be a good predictor of inflammation and abortion in those with ongoing pregnancy [44,45]. An inflammatory state was observed in cases of late uterine involution [46].…”

Section: Discussionmentioning

confidence: 89%

Inflammation Indexes PLR, SII, AISI, MLR, NLPR and MCVL in Peripartum Treated Thrombophilia Patients Undergoing Cesarean Section at Term-STROBE Compliant

Filip,

Covali,

Socolov

et al. 2024

Preprint

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(1) Background: Thrombophilia is a tendency towards hypercoagulability, and it is increased by pregnancy, peaking around delivery. Research question: does thrombophilia stimulate the in-flammatory state of the patient, already suppressed by pregnancy? (2) Methods: Eighty thrombo-philia patients admitted for delivery between 1/10/2017 and 1/12/2021 were prospectively stud-ied, together with eighty age- and para-matched control patients. Patients were admitted for de-livery at term by means of cesarean section. The inflammation indexes from the complete blood count values analysis during both the 24 hours before and after labor—extracted from the hospi-tal’s medical records—were calculated and then correlated with uterine involution. (3) Results: Except for the PLR, most of the numerous inflammation indexes studied were not significantly different in treated thrombophilia patients, before and after delivery, compared to non-thrombophilia patients. Only when we split the patients, based on the uterine haematometra in the first 24-48 hours postpartum, we found out that the few treated thrombophilia patients with haematometra (14 with haematometra out of 79 with treated thrombophilia) had elevated SII and AISI antepartum. In pregnant patients treated for thrombophilia, MLR is higher in pa-tients without the Rh factor than in those with the Rh factor. In non-thrombophilia patients, MCVL and NLPR increased with age and before labor, while SII and AISI increased with age postpartum. (4) Conclusions: Thrombophilia did not stimulate the inflammatory state of the pa-tient, already suppressed by pregnancy.

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“…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].…”

Section: Discussionmentioning

confidence: 89%

Inflammation Indexes PLR, SII, AISI, MLR, and MCVL in Peripartum Treated Thrombophilia Peripartum Patients Undergoing Cesarean Section at Term

Filip,

Covali,

Socolov

et al. 2023

Preprint

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(1) Background: Thrombophilia is a tendency towards hypercoagulability, and it is increased by pregnancy, and peaking around delivery.; (2) Methods: 80 Eighty thrombophilia patients admitted for delivery between 1/10/2017 and 1/12/2021 were prospectively studied, together with 80 eighty age- and para-matched control patients. Patients were admitted for delivery at term by means of cesarean section. The inflammation indexes from the complete blood count values analysis, in during both the 24 hours before and the 24 hours after labor—, extracted from the hospital’s medical records—, were calculated, and then correlated with uterine involution.; (3) Results: In pregnant patients treated for thrombophilia patients, the patients who did not manage to have close their uterine cavity closed with in the first 24-48 hours had significantly higher SII and AISI inflammation indexes SII and AISI , than the onesthose who did manage to have their uterine cavity closed their uterine cavity. In pregnant patients treated for thrombophilia patients, MLR is higher in patients without the Rh factor than in those with the Rh factor. In non-thrombophilia patients, PLR was significantly higher as compared to treated thrombophilia patients. In non-thrombophilia patients, MCVL increased with age and, before labor, while SII and AISI increased with age, postpartum. ; (4) Conclusions: There may be an underlying inflammation state that persisted despite treatment in some pregnant thrombophilia pregnant patients.

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Role of the systemic immune‐inflammation index in threatened abortion patients and predicting of abortion

Cited by 6 publications

References 33 publications

Predicting risk of the subsequent early pregnancy loss in women with recurrent pregnancy loss based on preconception data

Predicting risk of the subsequent early pregnancy loss in women with recurrent pregnancy loss based on preconception data

Inflammation Indexes PLR, SII, AISI, MLR, NLPR and MCVL in Peripartum Treated Thrombophilia Patients Undergoing Cesarean Section at Term-STROBE Compliant

Inflammation Indexes PLR, SII, AISI, MLR, and MCVL in Peripartum Treated Thrombophilia Peripartum Patients Undergoing Cesarean Section at Term

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