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.

Polycystic ovary syndrome (PCOS) is a common endocrine-metabolic disorder in women of reproductive age, often associated with low-grade chronic inflammation. This study aimed to investigate the relationship between composite inflammatory markers—Neutrophil-to-Lymphocyte Ratio (NLR), Systemic Immune Inflammation Index (SII), Systemic Inflammation Response Index (SIRI), and Aggregate Index of Systemic Inflammation (AISI)—and clinical phenotypes of PCOS, including oligo-/amenorrhea, hyperandrogenism, and polycystic ovarian morphology (PCOM). In this retrospective cross-sectional study, women with PCOS were categorized into subgroups based on clinical phenotypes. Composite inflammatory markers were calculated from complete blood count parameters, and their association with clinical, hormonal, and ultrasonographic findings was analyzed. ROC analysis assessed the discriminatory value of each marker. Inflammatory markers were significantly higher in the oligo-/amenorrhea and PCOM groups. In oligo-/amenorrhea, NLR (2.42 vs. 1.96, p = 0.028), AISI (282.16 vs. 188.73, p = 0.005), SII (664.59 vs. 519.86, p = 0.008), and SIRI (0.97 vs. 0.70, p = 0.005) were elevated. In PCOM, NLR (2.85 vs. 2.25, p = 0.025), AISI (323.15 vs. 262.78, p = 0.049), SII (738.52 vs. 641.27, p = 0.030), and SIRI (1.10 vs. 0.90, p = 0.046) were also higher. AISI showed the best discrimination for oligo-/amenorrhea (AUC = 0.652), while NLR was most predictive for PCOM (AUC = 0.617). Composite inflammatory markers are elevated in specific PCOS phenotypes, especially oligo-/amenorrhea and PCOM, and may reflect low-grade inflammation. These markers may help identify patients at higher cardiometabolic risk and guide preventive strategies.

Background: The aim of this study was to examine the relationship between conventional and novel Doppler parameters, including cerebroplacental ratio (CPR), cerebral–placental–uterine ratio (CPUR), umbilical-to-cerebral ratio (UCR), and amniotic-to-umbilical-cerebral ratio (AUCR), with the diagnosis of preeclampsia (PE) and adverse neonatal outcomes in PE cases. Methods: This prospective case-control study was conducted at the Ankara Etlik City Hospital Perinatology Clinic between November 2023 and May 2024. The study population was divided into two groups: Group 1, consisting of 74 patients diagnosed with preeclampsia, and Group 2, consisting of 80 healthy control patients. Composite adverse perinatal outcomes (CANOs) include presence of at least one adverse outcome: 5th-minute APGAR score < 7, transient tachypnea of the newborn (TTN), respiratory distress syndrome (RDS), need for continuous positive airway pressure (CPAP), need for mechanical ventilation, neonatal intensive care unit (NICU) admission, neonatal hypoglycemia, need for phototherapy, intraventricular hemorrhage (IVH), and neonatal sepsis. Results: The CPR, CPUR, and AUCR were significantly lower in the PE group compared to the control group, while the UCR was notably higher in the PE group. Among the combined ratios, the CPUR exhibited the highest diagnostic performance for both PE diagnosis and the prediction of CANOs. Additionally, while the UCR, CPR, and AUCR were significant for PE diagnosis, only AUCR demonstrated a significant association with the prediction of CANOs. Conclusions: Combined Doppler parameters, especially CPUR and AUCR, offer valuable insights into diagnosing PE and predicting CANOs. CPUR demonstrated the highest diagnostic accuracy, underscoring its potential utility in clinical settings.

To evaluate the prognostic value of albumin-associated inflammatory indices in predicting delivery latency in pregnancies complicated by preterm premature rupture of membranes (PPROM). This retrospective study included a cohort of singleton pregnancies diagnosed with PPROM between 24 and 34 weeks of gestation. Inflammatory indices calculated at admission included leukocyte-to-albumin ratio (LAR), neutrophil-to-albumin ratio (NAR), monocyte-to-albumin ratio (MAR), fibrinogen-to-albumin ratio (FAR), systemic immune-inflammation index to albumin ratio (SII/Alb), systemic inflammation response index to albumin ratio (SIRI/Alb), neutrophil percentage-to-albumin ratio (NPAR), and C-reactive protein-to-albumin ratio (CAR). Latency periods were categorized as ≤ 48 hours (h), 72 h, 96 h, and 7 days. Receiver operating characteristic (ROC) analyses were performed to assess predictive performance. This retrospective study evaluated 311 PPROM cases managed at a tertiary center between January 2023 and December 2023. Among the evaluated indices, LAR, NAR, and FAR demonstrated consistent and statistically significant associations with shorter latency periods across all predefined intervals (≤ 48 h, 72 h, 96 h, and 7 days). FAR exhibited the strongest predictive performance for delivery within 48 h (AUC: 0.637), followed by NAR and LAR. NPAR and CAR showed moderate predictive value at 72 h and 96 h (AUCs ~ 0.566–0.603), and NPAR remained significant at the 7-day mark (AUC: 0.605). SII/Alb was predictive at 72 and 96 h (AUCs: 0.584 and 0.616, respectively), while SIRI/Alb reached significance only at 96 h (AUC: 0.574). MAR did not demonstrate predictive value at any time point. Albumin-associated inflammatory indices—particularly LAR, NAR, and FAR—are promising, cost-effective markers for identifying PPROM patients at risk for imminent delivery. These easily accessible laboratory parameters may support individualized management strategies. Further prospective studies are warranted to validate these findings and explore their role in clinical decision-making.