Purpose: To develop a nomogram to predict the probability of cesarean hysterectomy (CH) in placenta accreta spectrum disorders (PASD) patients.
Methods: Data from 520 patients who underwent surgery with a preliminary diagnosis of PASD at a tertiary center in southeast Turkey between 2013 and 2023 were collected, and 302 patients were included in the study. A predictive model based on clinical and ultrasonographic variables was developed using penalized maximum likelihood estimation (PMLE) regression analysis.
Objective: To evaluate the potential advantages of combined general and epidural anesthesia for major gynecological oncological surgeries.
Materials And Methods: The data of 690 gynecological cancer were retrospectively examined, and 223 patients who met the inclusion criteria were included in the study. The patients were divided into two groups: Group G (123 patients who received general anesthesia only) and Group C (100 patients who received combined epidural and general anesthesia.
Objective: Placenta accreta spectrum (PAS) is an important problem with increasing cesarean section (CS) rates recently. There is still no serum marker for the diagnosis. We determined whether serum YKL-40 levels can be used in the diagnosis and prognosis of PAS.
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