Our study aimed to investigate the value of inflammatory indices in predicting the latency period until birth in patients with preterm premature rupture of membranes (PPROM). This retrospective study was conducted on PPROM cases between 24 and 34 weeks of gestation at Ankara Etlik City Hospital Perinatology Department from October 2023 to April 2024. A total of 146 participants were divided into two groups: Group 1 included 73 patients who gave birth within 72 hours (h) of PPROM diagnosis, and Group 2 included 73 patients who gave birth after 72 h. This study evaluated the prognostic significance of various inflammatory markers neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), monocyte/lymphocyte ratio (MLR), systemic immune inflammation index (SII), systemic inflammatory response index (SIRI), pan-immune inflammation value (PIV), immature granulocytes (IG), multi-inflammatory index (MII)-1, MII-2, and MII-3 in predicting the latency period in patients with PPROM. Only MII-1, MII-2, and MII-3 reliably predicted labor within 72 h. The cut-off value for MII-1 was > 48.3, with a sensitivity of 57.7% and specificity of 57.3% (AUC: 0.598, 95% CI: 0.503–0.692, p = 0.042). For MII-2, the cut-off was > 1037.6, with a sensitivity of 57.7% and specificity of 57.3% (AUC: 0.611, 95% CI: 0.516–0.705, p = 0.021). MII-3 had a cut-off of > 10919.9, with a sensitivity of 53.5% and specificity of 52% (AUC: 0.595, 95% CI: 0.501–0.690, p = 0.046). Our findings show that, among NLR, PLR, MLR, SII, SIRI, PIV, IG, MII-1, MII-2, and MII-3, only MII-1, MII-2, and MII-3 levels are statistically significant in predicting birth timing.

Background: Preeclampsia is a serious pregnancy complication known to be related to the pathophysiology of platelet dysfunction and inflammation. The aim of this study was to investigate the role of platelet indices and inflammatory markers in preeclampsia and their importance in predicting adverse neonatal outcomes. Methods: A total of 118 preeclampsia cases (84 with mild preeclampsia and 34 with severe preeclampsia) and 118 healthy pregnant women were included in the study. Blood samples obtained at the time of preeclampsia diagnosis were analyzed for platelet indices (platelet count (PC), platelet distribution width (PDW), mean platelet volume (MPV), and platelet/large cell ratio (P-LCR)) and inflammation indices (neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), and mean platelet volume-to-lymphocyte ratio (MPVLR)). Results: The PC and PLR were lower in the severe preeclampsia group compared to the other groups. The PDW was higher in both mild and severe preeclampsia groups compared to the control group. A PDW value above 13.15 was identified as a significant predictor of composite adverse neonatal outcomes (area under the curve (AUC): 0.633; sensitivity: 60.9%; specificity: 58%). Conclusions: PC and PLR decrease in severe preeclampsia. This study highlights the potential of PDW as a marker for predicting adverse neonatal outcomes in preeclampsia.

The aim of this study was to evaluate the potential of immunonutritional markers, specifically the hemoglobin, albumin, lymphocyte, and platelet (HALP) score and the prognostic nutritional index (PNI), in predicting late-onset fetal growth restriction (LO-FGR) during the first trimester. This retrospective study was conducted at a tertiary care center between October 2022 and August 2023. The study included a total of 213 singleton pregnancies, with 99 women in the LO-FGR group and 114 in the healthy control group, matched by maternal age and gestational age at delivery. All blood samples were collected between 11 and 14 weeks of gestation (during the first-trimester screening test). We analyzed first-trimester laboratory parameters, specifically focusing on hemoglobin levels, white blood cells (WBCs), lymphocytes, platelets, and albumin levels. Afterwards, we calculated the HALP score and PNI, and then compared the values of both groups. Both HALP score (3.58 ± 1.31 vs. 4.19 ± 1.8, p = 0.012) and PNI (36.75 ± 2.9 vs. 39.37 ± 3.96, p < 0.001) were significantly lower in the FGR group than in the control group. The HALP score cut-off value of < 3.43 in predicting FGR had a sensitivity of 62.3% and specificity of 54.5% (AUC = 0.600, 95% CI: 0.528–0.672, p = 0.012). The PNI cut-off value of < 37.9 in predicting FGR had a sensitivity of 65.8% and specificity of 62.9% (AUC = 0.707, 95% CI: 0.632–0.778, p < 0.001). While the HALP score was not a significant predictor of composite adverse neonatal outcomes in the FGR group, PNI showed a cut-off value of < 37.7 with a sensitivity of 60.9% and specificity of 59.7% (AUC = 0.657, 95% CI: 0.581–0.733, p < 0.001). The HALP score and PNI are valuable prognostic tools for predicting the risk of FGR in the first trimester. Low PNI values are also associated with composite adverse neonatal outcomes in pregnancies complicated by FGR.