Can Stria Gravidarum Predict Surgical Fluid Loss in Cesarean Section?

INTRODUCTION: Alterations in collagen subtypes and matrix can potentially cause fluid loss in surgery which is important in terms of liquid loss. OBJECTIVES: The study aimed to analyze stria gravidarum (SG) and its severity in pregnant women who had undergone cesarean section (CS) and to evaluate surgical fluid loss (SFL) that occurred during CS operation. METHODS: The research was designed as a prospective clinical cohort study to compare the amount of SFL in the second cesarean section with the severity of SG at 34-37 weeks pregnant (N 308). The severity of SG was evaluated in the preoperative period using the Davey scoring. All patients were defined none, mild stria and severe stria. The SFL was calculated by weighing the pre-and post-operative weights of the sponges. RESULTS: The weight gain (P = 0.008) and body mass index (BMI, P = 0.017) gradually increased toward severe SG. In correlation analysis of SFL, a positive correlation was found with Davey (r=0.791; P = 0.0001), weight gained during pregnancy (r=0.328; P = 0.0001), BMI (r=0.453; P = 0.001) and newborn weight (r=0.139; P = 0.003). In the receiver operating characteristic for the predictability of SG severity on SFL, severe SG showed a potential for SFL with 95.1% specificity and 93.2% sensitivity at 791 cut-offs (area under the curve:0.987; P = 0.00001; 95% confidence interval: 0.977-0.997). CONCLUSIONS: The SG severity and SFL showed a very strong relationship, which was a very important finding that would affect the approach of the surgeons to the patients with SG in terms of fluid loss in CS.

Comprehensive analysis of macrosomia: exploring the association between first-trimester alanine aminotransferase and uric acid measurements in pregnant women.

OBJECTIVES: Investigating the relationship between liver enzymes, uric acid (UA), and macrosomia will benefit physicians in the early detection of complications that may emerge during/after pregnancy. The study analyzed liver enzyme activity and UA levels in first-trimester pregnant for the risk of macrosomia. METHODS: This retrospective cross-sectional research analyzed the data of pregnant women who gave birth between Jan 2021-2023. All data were extracted from medical records, and UA and AST-ALT were examined in all the participants. RESULTS: Aspartate aminotransferase (AST) and alanine aminotransferase (ALT) levels were higher in the macrosomia (p<0.05). Similarly, UA levels were higher in the macrosomia (p<0.001). There was a moderate positive correlation between ALT and birth weight (r=0.168, p<0.01), while we found a strong positive correlation between UA and birth weight (r=0.355, p<0.01). In the ROC (receiver operating characteristic), Area Under the Curve (AUC) for ALT and UA was significant (p<0.0001) but not for AST (p=0.157). UA showed a predictive value for macrosomia with 68.1 % sensitivity and 63.8 % specificity at a 3.15 cut-off (AUC:0.689; p:0.0001; CI:0.644-0.725). CONCLUSIONS: These results indicate that ALT and UA may be potentially important in determining the risk of macrosomia. The UA had a more potent marker for macrosomia than ALT. The occurrence of macrosomia might be more closely related to the mother's metabolic syndrome rather than NAFLD.

A novel prenatal index predicting the probability of neonatal intensive care in pregnants: amnion progesterone receptor to alfa fetoprotein rate.

INTRODUCTION: Amniocentesis (AC) is the most used interventional procedure for prenatal diagnosis. The study aims to evaluate the pregnancy outcomes undergoing AC and the potential of amnion progesterone receptor (aPR) to alfa fetoprotein (AFP) rate for predicting the probability of neonatal intensive care unit (NICU). MATERIAL AND METHODS: This prospective cross-sectional study population consisted of 85 pregnant women who underwent mid-trimester AC. All cases were screened by ultrasound before AC. Maternal venous and amniotic samples were obtained simultaneously to evaluate the serum progesterone (sPRG), aPR, and aAFP and analyzed with patient results. RESULTS: Unlike sPRG and aAFP, aPR showed a positive correlation with NICU and a negative correlation with parity. In linear regression, the aPR-AFP rate showed strong linearity with NICU and parity. In an aPR-AFP rate analysis, we saw a strong predictivity for NICU compared to the other three parameters. It presented 73.4% specificity and 79% sensitivity at 0.0075 cut-off (AUC: 0.78; p = 0.003; 95% CI: 0.608-0.914). CONCLUSIONS: Evaluating the PR either alone or in a rational combination with AFP will provide physicians with valuable information about the advanced process of pregnancy and postpartum complications. The physicians might use the aPR-AFP rate to predict NICU potential for pregnancy and need further studies to make more vital predictions on postpartum complications.