Utility of the cerebro-placental-uterine ratio in predicting composite adverse perinatal outcomes in pregestational diabetes: A prospective cohort study.

PURPOSE: To examine the cerebro-placental-uterine ratio (CPUR) in pregnant women with pregestational diabetes and determine its role in predicting adverse prenatal outcomes. METHODS: This prospective, cohort study conducted at a tertiary hospital included 65 patients with pregestational diabetes (25 with type1 diabetes, 40 with type2 diabetes) and 130 low-risk patients in the control group. The cerebroplacental (CPR) ratio and the CPUR were calculated. Composite adverse perinatal outcome (CAPO) is defined as the presence of any of the following: (1) Neonatal intensive care unit (NICU) admission, (2) Apgar at 5 min <7, and (3) umbilical cord arterial pH <7.10. The relationship of CPR and CPUR with CAPO was investigated. RESULTS: CPR and CPUR were significantly lower in the pregestational diabetes group than in the control group. The NICU admission was higher in the case group. In receiver operating characteristic analyses, the optimal cut-off value of CPUR was 1.46 (AUC = 0.72, p = 0.003, 80% sensitivity, and 69% specificity) to predict CAPO and the optimal cut-off value of CPUR was 1.50 for NICU admission (AUC = 0.70, p = 0.013, 77% sensitivity, and 66% specificity). CONCLUSION: Low CPUR values were found to be associated with adverse perinatal outcomes in women with pregestational diabetes. With the increasing number of studies, CPUR is expected to be utilized more widely in routine obstetric practice.

Systemic Inflammation Response Index and Systemic Immune-inflammation Index for Prediction of Pregnancy Loss: a Case-control Study.

The systemic inflammation response index (SIRI) and systemic immune inflammation index (SII) have recently been investigated as new prognostic markers for obstetric morbidities. However, there are few studies on their predictive role in patients with pregnancy loss. Predicting miscarriages may be useful to support and prevent selected cases.The aim of this study was to investigate the role of SIRI and SII in the prediction of pregnancy loss. A total of 800 patients were included in the retrospective case-control study at a tertiary hospital.Group 1 consisted of 200 patients who had a pregnancy loss for the first time; group 2 consisted of 200 patients with recurrent pregnancy loss; the control group consisted of 400 patients who had a healthy pregnancy. The groups were compared in terms of maternal characteristics, SIRI and SII. Receiver operating characteristic analysis was performed to determine optimal cut-off values for SIRI and SII in predicting pregnancy loss. SIRI and SII were higher in the group with recurrent pregnancy loss than in the control group (p < 0.001).SIRI was higher in the first pregnancy loss group than in the control group (p < 0.001).To predict recurrent pregnancy loss, optimal cut-off values were 1.57 (80% sensitivity, 70% specificity) and 924.12 (74% sensitivity, 57% specificity) for SIRI and SII, respectively. For first pregnancy loss prediction, the optimal cut-off value was 1.38 for SIRI, with 75% sensitivity and 60% specificity. SIRI and SII may be used as inflammatory markers to predict recurrent pregnancy loss. High SIRI values can also help to predict first pregnancy loss.

Role of aspartate aminotransferase to platelet ratio in the prediction and prognosis of intrahepatic cholestasis of pregnancy: A case-control study from a tertiary center.

OBJECTIVE: To evaluate the aspartate aminotransferase to platelet ratio (APRI) score as a predictive and prognostic test in intrahepatic cholestasis of pregnancy (ICP). METHODS: This study was conducted in 198 patients diagnosed with ICP and 204 healthy pregnant women who presented to a tertiary center between 2019 and 2022. APRI scores; laboratory findings in the first, second, and third trimesters; and perinatal outcomes were compared between the two groups. The ICP group was evaluated for correlation between APRI scores and composite adverse outcomes. Two different receiver operating characteristic analyses were performed to determine optimal cutoff values of predictive APRI score of ICP and composite adverse outcomes in patients with ICP. RESULTS: Aspartate aminotransferase values and APRI scores were significantly higher in the ICP group in all trimesters (P < 0.001). The optimal cutoff values of APRI scores to predict ICP for the first, second, and third trimesters were 0.101 (79.7% sensitivity, 79.6% specificity), 0.103 (78.4% sensitivity, 76.3% specificity), and 0.098 (72.5% sensitivity, 72% specificity), respectively. APRI scores were statistically higher in patients with ICP with composite adverse outcomes in all trimesters (P values of 0.03, 0.04, and 0.01, respectively). CONCLUSION: APRI score was found to be a valuable predictor of ICP and its adverse outcomes during the entire pregnancy.

Systemic Inflammation Response Index as a diagnostic and prognostic predictor of intrahepatic cholestasis of pregnancy: A case-control study from a tertiary center.

OBJECTIVE: To investigate the diagnostic and prognostic value of the Systemic Inflammation Response Index (SIRI) in intrahepatic cholestasis of pregnancy (ICP). METHODS: The present case-control study comprised 386 participants, including 192 women with ICP and 194 gestational age-matched pregnant women. Increased fasting biliary acid (FBA) levels (≥10 µmol/L) were accepted as ICP criteria. SIRI values were calculated for the first trimester (SIRI 1), time of diagnosis (SIRI 2), and time of delivery (SIRI 3). The ICP and control groups were compared based on SIRI values, and on obstetrical and neonatal outcomes. The ICP subgroups based on FBA levels (severe ICP [FBA ≥40 µmol/L] and mild ICP [FBA <40 µmol/L]) were also compared for SIRI and pregnancy outcomes. RESULTS: Adverse outcomes were significantly higher in the ICP group (P < 0.001). SIRI 2 and SIRI 3 showed negative significant differences between the ICP and control groups, with P values of 0.001 and 0.009, respectively. A significant difference in ICP severity subgroups (P = 0.046) was observed for SIRI 3. In receiver operating characteristics curve analyses, optimal cut-off values for the prediction of ICP were found to be 2.01 and 2.08 for SIRI 2 and SIRI 3, respectively. A cut-off value 1.74 was determined to predict the disease severity for SIRI 3. CONCLUSION: SIRI has clinical significance in accordance with the inflammatory etiology of ICP. SIRI might be used with other clinical and laboratory findings for ICP diagnosis and prediction.

The role of first trimester eosinophil count and eosinophil-based complete blood cell indices in the predictiction of preeclampsia: A case-control study.

INTRODUCTION: The importance of eosinophils in the pathogenesis of preeclampsia is an question of interest and there are recent studies in the literature indicating significantly lower eosinophil count values in pregnant women with preeclampsia. The present study aims to evaluate the utility of first-trimester eosinophil count and eosinophil-based complete blood cell count indices in the prediction of preeclampsia. METHODS: Pregnant women diagnosed with preeclampsia (n = 281) were retrospectively compared with a control group (n = 307). The utility of first trimester eosinophil count, neutrophil to eosinophil ratio (NER) (neutrophil/eosinophil), leukocyte to eosinophil ratio (LER) (leukocyte/eosinophil), eosinophil to monocyte ratio (EMR) (eosinophil/monocyte) and, eosinophil to lymphocyte ratio (ELR) (eosinophil/lymphocyte) in the prediction of preeclampsia were evaluated. RESULTS: Optimal cut-off values for eosinophil count, NER, LER, EMR and, ELR in predicting preeclampsia were 0.07 (AUC: 0.62, 58.7% sensitivity, 56.4% specificity), 90.9 (AUC: 0.65, 61.1% sensitivity, 59.4% specificity), 125.7 (AUC: 0.64, 61.4% sensitivity, 58.4% specificity), 0.15 (AUC: 0.63, 60.1% sensitivity, 59.6% specificity) and, 0.03 (AUC: 0.62, 60.9% sensitivity, 57% specificity), respectively. Mentioned values in predicting early-onset preeclampsia were 0.07 (AUC: 0.64, 60.5% sensitivity, 50.8% specificity), 102.1 (AUC: 0.64, 62.4% sensitivity, 58.8% specificity), 140.2 (AUC: 0.65, 63.5% sensitivity, 59.1% soecificity), 0.14 (AUC: 0.66, 66.3% sensitivity, 59.2% specificity), and, 0.03 (AUC: 0.63, 60.5% sensitivity, 57.4% specificity), respectively. The optimal cut-off value for EMR in the prediction of preeclampsia with severe features was 0.16 (AUC: 0.56, 56.9% sensitivity, 53.2% specificity). DISCUSSION: Eosinophil-based complete blood count indices may be used to predict early-onset preeclampsia with relatively low sensitivity and specificity.

Can SIRI or other inflammatory indices predict HELLP syndrome in the first trimester?

OBJECTIVE: To investigate the use of systemic immune-response index (SIRI) and other inflammatory indices for the prediction of HELLP syndrome STUDY DESIGN: The presented retrospective case-control study was conducted with twenty-eight pregnant women diagnosed with HELLP syndrome and 100 low-risk pregnant women. The possible predictive indices for HELLP syndrome were determined as NLR (neutrophil/lymphocyte), MLR (monocyte/lymphocyte), HbLR (hemoglobin/lymphocyte), SII (neutrophil×platelet/lymphocyte), and SIRI (neutrophil×monocyte/lymphocyte). The indices were evaluated in the first trimester and at the admission time for delivery for all participants. The statistical analyses were carried out using SPSS 23. Descriptive statistics were presented as the mean and standard deviation (SD), as they conform to a normal distribution. To compare the parameters between the groups, the Student-t test was used. Categorical variables were presented as numbers and percentages. The chi-square test was used to compare categorical variables between groups. The paired sample t-test was used to compare correlated samples. Statistical significance was defined as a two-tailed P value of 0.05. RESULTS: In the first trimester; WBC, neutrophil, and monocyte counts were statistically higher in the HELLP syndrome group. However, no significant difference was observed between the groups for the concerned indices. The hemoglobin, WBC, neutrophil, monocyte counts, NLR, SIRI and MLR were significantly higher in the HELLP group at the delivery time. Platelet count was decreased and ALT/AST counts and adverse outcomes were found to be significantly higher at delivery time admission in the HELLP syndrome group. CONCLUSION: To the best of our knowledge, this was the first study investigating SIRI with the other indices for the prediction of HELLP syndrome in accordance with its inflammatory etiology. The underlying inflammatory process was observed at the delivery time. However, none of the investigated indices was found effective in the first trimester in the prediction. Simple and non-invasive prediction indices might be valuable tools for the prediction and management of HELLP syndrome. Further and larger studies are needed for this purpose.