The role of aspartate aminotransferase to platelet ratio index (APRI) in the first trimester for the prediction of superimposed preeclampsia: A case-control study from a tertiary center.

INTRODUCTION: To evaluate the role of aspartate aminotransferase to platelet ratio index (APRI) in the prediction of superimposed preeclampsia in chronic hypertensive pregnancy group in the first trimester. METHODS: The present retrospective case-control study was conducted on 258 pregnant women, including 75 patients in the isolated chronic hypertension group, 92 in the superimposed preeclampsia group, and 91 low-risk pregnant women in the control group. APRI1 was calculated from routine blood test results in the first antenatal visit, and APRI2 was calculated from prelabor routine blood test results. APRI indices and other blood count parameters were evaluated and compared between groups and with the literature. RESULTS: APRI1 was lower in the superimposed preeclampsia group than in the control and chronic hypertension groups, with p-values < 0.001. In the first trimester, platelet counts were higher in the superimposed preeclampsia group than in the hypertension and control groups. APRI2 was increased in the superimposed preeclampsia group compared to the control and chronic hypertension groups, with p-values 0.001 and 0.002, respectively. The optimal cut-off value for APRI1 was 0.036 (sensitivity 65.2 %, specificity 83.7 %), and for APRI2, it was found to be 0.057 (sensitivity 67.4 %, specificity 52.0 %) to predict superimposed preeclampsia. DISCUSSION: To the best of our knowledge, this was the first study evaluating APRI in predicting superimposed preeclampsia in the first trimester. Increased platelet counts and lower APRI were found to be valuable indices for predicting superimposed preeclampsia. Further studies are needed to determine the utility of APRI in clinical practice.

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.

Can System Inflammation Response Index or Systemic Immune Inflammation Index predict gestational diabetes mellitus in the first trimester? A prospective observational study.

OBJECTIVE: To evaluate System Inflammation Response Index (SIRI) and Systemic Immune Inflammation Index (SII), which are the inflammatory indices, for the prediction of gestational diabetes mellitus (GDM) in the first trimester. METHODS: This was a prospective observational study conducted in a tertiary center from April 2023 to September 2023. Ninety-four pregnant women with gestational diabetes and 107 healthy pregnant women were included. The two groups were compared according to first-trimester SIRI and SII values. A receiver operating characteristic (ROC) curve analysis was performed to determine the optimal cut-off levels of SII and SIRI in predicting GDM. RESULTS: Significantly higher first-trimester SII and SIRI values were present in the gestational diabetes group (P < 0.001). Optimal cut-off values in the prediction of gestational diabetes were found to be 1.58 (area under the curve [AUC] 0.71, 67% sensitivity, 65% specificity, 95% confidence interval [CI] 0.64-0.78, P < 0.001) and 875 (AUC 0.70, 66% sensitivity, 65% specificity, 95% CI 0.63-0.77, P < 0.001) for SIRI and SII, respectively. Neutrophil counts, mean platelet volume (MPW), neutrophil to lymphocyte ratio (NLR), and red cell distribution width (RDW) were significantly higher in the GDM group (P < 0.001, P = 0.02, P = 0.01, P < 0.01, respectively). CONCLUSION: Novel inflammatory indices SII and SIRI may be useful in the prediction of GDM in the first trimester, but their utility in the prediction of insulin requirement is questionable. They may be used as additional tools in routine clinical 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.

Diagnosis of Joubert syndrome via ultrasonography.

Joubert syndrome (JS) and related disorders (JSRD) are a group of multiple congenital anomaly syndromes in which the diagnostic hallmark is the molar tooth sign (MTS), a complex midbrain malformation visible on brain imaging. Detection of the MTS should be followed by a diagnostic protocol to assess multi-organ involvement. The incidence of JSRD ranges between 1/80,000 and 1/100,000 live births, although these values may represent an underestimate. The neurological components of JSRD include hypotonia, ataxia, intellectual disability, abnormal eye movements, and neonatal breathing problems. These may be associated with multi-organ involvement, mainly retinal dystrophy, nephronophthisis, hepatic fibrosis, and polydactyly. With the exception of rare X-linked recessive cases, JSRD follow autosomal recessive inheritance and are genetically heterogeneous. Ten causative genes have been identified to date, all encoding for proteins of the primary cilium, making JSRD part of a group of diseases called "ciliopathies". Analysis of causative genes is available in few laboratories worldwide on a research basis. The differential diagnosis must consider, in particular, the other ciliopathies, distinct cerebellar and brainstem congenital defects, and disorders with cerebro-oculo-renal manifestations. Recurrence risk is 25% in most families, although X-linked inheritance should also be considered. Optimal management requires a multidisciplinary approach, with particular attention paid to respiratory problems in neonates. After the first months of life, the prognosis varies among JSRD subgroups, depending on the extent and severity of organ involvement.