Evaluation of systemic immune-inflammation index for predicting late-onset fetal growth restriction.

INTRODUCTION: To determine a cut-off value for systemic immune-inflammation index (SII) (neutrophil × platelet/lymphocyte) in the prediction of fetal growth restriction (FGR). MATERIALS AND METHODS: This case-control study was conducted retrospectively at the Obstetrics-Gynecology and Perinatology Clinics of Etlik Zubeyde Hanim Women's Health Education and Training Hospital. Singleton pregnant women with late-onset FGR who were followed up in outpatient clinics or hospitalized and whose pregnancy resulted at our hospital were included in the study group (group I). Healthy early and full-term singleton pregnant women with spontaneous labor who were followed up in the same hospital and whose pregnancy resulted at the same hospital were included in the control group (group II). Receiver-operating characteristic curves were used to assess the performance of SII value in predicting FGR. RESULTS: We recruited 79 cases (pregnant with late-onset fetal growth restriction) and 79 controls (healthy pregnant), matched for age, body mass index, and parity. ΔSII was statistically significantly higher in the pregnant with late-onset FGR compared with healthy pregnant (123 vs - 65; p = 0.039). The values in ROC curves with the best balance of sensitivity/specificity were > 152 109/L (49% sensitivity, 70% specificity) and > 586 109/L (27% sensitivity, 90% specificity) for late-onset FGR. DISCUSSION: Higher ΔSII levels in maternal blood indicate an inflammatory process causing FGR. The cut-off value for ΔSII (> 586 109/L) at 90% specificity can be used as a screening test. In the presence of ΔSII levels > 586 109/L (27% sensitivity and 90% specificity), the physicians should be more cautious about risk for FGR. Therefore, pregnant women at risk for FGR should be checked more frequently and monitored closely. However, further studies are needed to confirm our findings.

Is postpartum depression related to total weight gain during pregnancy and maternal anemia?

OBJECTIVE: This study aimed to investigate the effects of weight gain and maternal anemia on postpartum depression. METHODS: This is a prospective, single-center, case-control study. We recorded the demographic characteristics, blood ferritin level, and weight gain during the pregnancy. This study was planned between April 2023 and June 2023 in the Obstetrics and Gynecology Clinic of Ankara Etlik City Hospital. A total of 109 patients were enrolled in the study. Patients were assessed with the Edinburgh Postpartum Depression Scale. Weight gain, nutritional education, educational level, mode of delivery, and pregnancy history were asked in person. Ferritin levels at the onset of labor were determined to detect anemia. Twin births, births due to fetal anomalies or intrauterine stillbirths, patients with systemic infections, and patients diagnosed with a psychiatric disorder in the past 6 months whose records were not accessible were excluded from the study. RESULTS: Pregnancy weight gain and percentage of pregnancy weight gain were higher. Serum ferritin levels and nutritional education during pregnancy were lower in the postpartum depression group (p<0.001). These parameters with statistical significance were identified as risk factors in the regression analysis for postpartum depression (p<0.05). In receiver operating characteristics analysis, >15 kg for weight gain, >28.8 for percentage of weight gain in pregnancy, and <19 ng/dL for serum ferritin level were identified as cutoff values (p<0.001). CONCLUSION: Nutritional education and vitamin supplementation should be recommended to pregnant women during routine examinations.

Does Second Trimester Maternal Serum Zonulin Level Predict Gestational Diabetes Mellitus?

Zonulin, a protein that regulates intestinal permeability, has attracted attention as a potential biomarker for GDM. Therefore, this study aims to investigate whether there are differences in zonulin levels between the GDM group and control groups, especially between those receiving different treatments (diet and insulin). Based on this idea, we included 90 patients with a gestational age between 24 and 28 weeks in our study. While GDM was not detected in 33 of these patients, as a result of OGTT, 57 patients were diagnosed with GDM and these patients were followed throughout their pregnancy. Gestational diabetes was diagnosed by an OGTT performed between 24 and 28 weeks of gestation according to American Diabetes Association (ADA) standards. During follow-up, GDM patients were divided into two groups according to whether they required insulin treatment. Plasma zonulin levels were determined using enzyme-linked immunosorbent assay (ELISA) techniques. The GDM group had significantly higher plasma zonulin levels than the control group (p < 0.005). According to our research, zonulin may be a non-invasive biomarker involved in the etiology of GDM. Large-scale research on this topic is still needed.

The role of first trimester serum inflammatory indexes (NLR, PLR, MLR, SII, SIRI, and PIV) and the ß-hCG to PAPP-A ratio in predicting preeclampsia.

OBJECTIVE: The aim of this study was to investigate the predictive value of inflammation parameters and indices measured in the first trimester for the detection of preeclampsia. MATERIALS AND METHODS: In this retrospective analysis, we examined the medical records of 276 eligible pregnancies at a tertiary referral center from 2022 to 2023. The cases were categorized into the Control group (n = 171), the Mild Preeclampsia group (n = 63), and the Severe Preeclampsia group (n = 42). We examined the demographic characteristics and perinatal outcomes of all participants. Additionally, we analyzed laboratory parameters, including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), systemic immune inflammation index (SII) (neutrophil*platelet/lymphocyte), systemic inflammation response index (SIRI) (neutrophil*monocyte/lymphocyte), pan-immune inflammation value (PIV) (neutrophil*platelet*monocyte/lymphocyte), and the ß-hCG to PAPP-A ratio in the first trimester. Receiver operating characteristic curve (ROC) analysis was conducted to identify the optimal cut-off levels for inflammatory markers in predicting preeclampsia. RESULTS: SIRI and PIV exhibited statistical significance in differentiating between the preeclampsia and control groups for predicting preeclampsia. The determined cut-off value for SIRI was 1.5, providing a sensitivity of 56.2% and a specificity of 55.6% (p = 0.012). Likewise, the cut-off value for PIV was 394.4, with a sensitivity of 55.2% and a specificity of 55% (p = 0.013). NLR, PLR, MLR, SII, and ß-hCG to PAPP-A ratio could not predict preeclampsia. CONCLUSIONS: This study suggests that SIRI and PIV hold promise as potential tools for predicting the risk of preeclampsia during the first trimester.

Is postpartum depression related to total weight gain during pregnancy and maternal anemia?

SUMMARY OBJECTIVE: This study aimed to investigate the effects of weight gain and maternal anemia on postpartum depression. METHODS: This is a prospective, single-center, case-control study. We recorded the demographic characteristics, blood ferritin level, and weight gain during the pregnancy. This study was planned between April 2023 and June 2023 in the Obstetrics and Gynecology Clinic of Ankara Etlik City Hospital. A total of 109 patients were enrolled in the study. Patients were assessed with the Edinburgh Postpartum Depression Scale. Weight gain, nutritional education, educational level, mode of delivery, and pregnancy history were asked in person. Ferritin levels at the onset of labor were determined to detect anemia. Twin births, births due to fetal anomalies or intrauterine stillbirths, patients with systemic infections, and patients diagnosed with a psychiatric disorder in the past 6 months whose records were not accessible were excluded from the study. RESULTS: Pregnancy weight gain and percentage of pregnancy weight gain were higher. Serum ferritin levels and nutritional education during pregnancy were lower in the postpartum depression group (p<0.001). These parameters with statistical significance were identified as risk factors in the regression analysis for postpartum depression (p<0.05). In receiver operating characteristics analysis, >15 kg for weight gain, >28.8 for percentage of weight gain in pregnancy, and <19 ng/dL for serum ferritin level were identified as cutoff values (p<0.001). CONCLUSION: Nutritional education and vitamin supplementation should be recommended to pregnant women during routine examinations.