Background: Postpartum hemorrhage is a life-threatening pregnancy complication and we want to evaluate the safety and efficacy of autologous blood transfusion during cesarean section in women with placenta previa to deal with postpartum hemorrhage. Methods: We conducted a retrospective study concentrating on all cases of placenta previa using autologous blood recovery during cesarean section in a single-center from August 2016 to July 2018, and then grouped and compared the clinical and patient characteristics. Linear regression analysis was conducted to analyze the linear relationships between estimated blood loss and recovered autologous blood volume, recovered autologous blood volume and transfused autologous blood volume, and transfused autologous blood volume and estimated blood loss. Results: In our study, autologous blood recovery technology was used during cesarean section for 294 patients with placenta previa, and a total of 266,660 mL of blood was collected and 134,342 mL of autologous blood was transfused, saving 746 U of red blood cell suspension. Recovered and transfused blood volumes were higher in patients with suspected placenta accreta and resection of the uterus. There were no serious adverse reactions related to autologous blood recovery and transfusion. Conclusions: The use of autologous blood transfusion during cesarean section in patients with placenta previa is safe and can save blood resources.

Background: Non-invasive identification of coronary stenosis in stable coronary artery disease (CAD) patients lacking regional wall motion abnormalities (RWMA) remains challenging. This study aimed to develop and validate a myocardial work-derived nomogram for predicting significant coronary stenosis in these patients. Methods: In this retrospective study, 181 consecutive patients with angiographically confirmed CAD, preserved LVEF (≥55%), and no resting wall motion abnormalities were enrolled. Global myocardial work efficiency (GWE) was assessed using echocardiographic pressure–strain loop analysis. A multivariable-derived nomogram incorporating GWE and clinical biomarkers was developed and externally validated for predicting severe coronary stenosis. Results: The nomogram incorporating GWE, lipoprotein-associated phospholipase A2 (LP-PLA2), N-terminal pro brain natriuretic peptide (NT-proBNP), and serum creatinine (Scr) demonstrated favorable discrimination in both the training set (AUC 0.916, 95% CI 0.866–0.952) and validation set (AUC 0.911, 95% CI 0.853–0.951), with good calibration (mean absolute error: 1.9% vs 3.2% in training vs validation, respectively). Decision curve analysis confirmed clinical utility across all probability thresholds. Conclusions: Our nomogram provides a non-invasive tool for preoperative risk stratification and optimizes the use of invasive diagnostics in stable CAD patients without RWMA.