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Qiao Y, Xiao J, He T, Wang R, Xu Y, Wei Y, Wang J, Hu R, Li Z. Predictive value of coagulation function, alpha-fetoprotein and placental growth factor in patients with perilous placenta previa. Am J Transl Res 2024; 16:567-576. [PMID: 38463595 PMCID: PMC10918133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 09/15/2023] [Indexed: 03/12/2024]
Abstract
OBJECTIVE To analyze the predictive value of coagulation function, alpha-fetoprotein (AFP) and placental growth factor (PIGF) for postpartum hemorrhage in patients with perilous placenta previa (PPP). METHODS The clinical data of 104 PPP patients were retrospectively analyzed. The patients were divided into a hemorrhage group (n=68) and a non-hemorrhage group (n=36). A total of 55 healthy pregnant women were recruited as controls. The coagulation function, AFP and PIGF were compared between the three groups. Multivariate logistic regression was performed to determine independent risk factors for hemorrhage. RESULTS PT, TT, APTT, FIB and AFP were significantly higher while PIGF was lower in the PPP group than the control group (all P<0.05). Placental adhesion (OR 3.924, 95% CI 1.389-11.083, P=0.01), anterior placenta (OR 4.583, 95% CI 1.589-13.22, P=0.005), AFP (OR 0.208, 95% CI 0.068-0.635, P=0.006) and PIGF (OR 3.963, 95% CI 1.385-11.34, P=0.01) were independent risk factors for hemorrhage. CONCLUSION Coagulation function, AFP and PIGF could predict postpartum hemorrhage in PPP patients.
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Affiliation(s)
- Yuan Qiao
- Obstetrics and Gynecology Intensive Care Unit, Northwest Women’s and Children’s HospitalNo. 1616 Yanxiang Road, Xi’an 710061, Shaanxi, China
| | - Jin Xiao
- Obstetrics and Gynecology Intensive Care Unit, Northwest Women’s and Children’s HospitalNo. 1616 Yanxiang Road, Xi’an 710061, Shaanxi, China
| | - Tongqiang He
- Obstetrics and Gynecology Intensive Care Unit, Northwest Women’s and Children’s HospitalNo. 1616 Yanxiang Road, Xi’an 710061, Shaanxi, China
| | - Rui Wang
- Department of Obstetrics, Northwest Women’s and Children’s HospitalNo. 1616 Yanxiang Road, Xi’an 710061, Shaanxi, China
| | - Yehong Xu
- Department of Obstetrics, Northwest Women’s and Children’s HospitalNo. 1616 Yanxiang Road, Xi’an 710061, Shaanxi, China
| | - Yang Wei
- Obstetrics and Gynecology Intensive Care Unit, Northwest Women’s and Children’s HospitalNo. 1616 Yanxiang Road, Xi’an 710061, Shaanxi, China
| | - Jun Wang
- Obstetrics and Gynecology Intensive Care Unit, Northwest Women’s and Children’s HospitalNo. 1616 Yanxiang Road, Xi’an 710061, Shaanxi, China
| | - Rui Hu
- Obstetrics and Gynecology Intensive Care Unit, Northwest Women’s and Children’s HospitalNo. 1616 Yanxiang Road, Xi’an 710061, Shaanxi, China
| | - Zhibin Li
- Department of Obstetrics, Northwest Women’s and Children’s HospitalNo. 1616 Yanxiang Road, Xi’an 710061, Shaanxi, China
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Enste R, Cricchio P, Dewandre PY, Braun T, Leonards CO, Niggemann P, Spies C, Henrich W, Kaufner L. Placenta Accreta Spectrum Part II: hemostatic considerations based on an extended review of the literature. J Perinat Med 2022; 51:455-467. [PMID: 36181735 DOI: 10.1515/jpm-2022-0233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 09/05/2022] [Indexed: 11/15/2022]
Abstract
"Placenta accreta spectrum" (PAS) is a rare but serious pregnancy condition where the placenta abnormally adheres to the uterine wall and fails to spontaneously release after delivery. When it occurs, PAS is associated with high maternal morbidity and mortality-as PAS management can be particularly challenging. This two-part review summarizes current evidence in PAS management, identifies its most challenging aspects, and offers evidence-based recommendations to improve management strategies and PAS outcomes. The first part of this two-part review highlighted the general anesthetic approach, surgical and interventional management strategies, specialized "centers of excellence," and multidisciplinary PAS treatment teams. The high rates of PAS morbidity and mortality are often provoked by PAS-associated coagulopathies and peripartal hemorrhage (PPH). Anesthesiologists need to be prepared for massive blood loss, transfusion, and to manage potential coagulopathies. In this second part of this two-part review, we specifically reviewed the current literature pertaining to hemostatic changes, blood loss, transfusion management, and postpartum venous thromboembolism prophylaxis in PAS patients. Taken together, the two parts of this review provide a comprehensive survey of challenging aspects in PAS management for anesthesiologists.
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Affiliation(s)
- Rick Enste
- Department of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Patrick Cricchio
- Department of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Pierre-Yves Dewandre
- Department of Anesthesia and Intensive Care Medicine, Université de Liège, Liege, Belgium
| | - Thorsten Braun
- Department of Obstetrics and 'Exp. Obstetrics', Charité-Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Christopher O Leonards
- Department of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Phil Niggemann
- Department of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Claudia Spies
- Department of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Wolfgang Henrich
- Department of Obstetrics and 'Exp. Obstetrics', Charité-Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Lutz Kaufner
- Department of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
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Enste R, Cricchio P, Dewandre PY, Braun T, Leonards CO, Niggemann P, Spies C, Henrich W, Kaufner L. Placenta accreta spectrum part I: anesthesia considerations based on an extended review of the literature. J Perinat Med 2022; 51:439-454. [PMID: 36181730 DOI: 10.1515/jpm-2022-0232] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 09/05/2022] [Indexed: 11/15/2022]
Abstract
"Placenta accreta spectrum" (PAS) describes abnormal placental adherence to the uterine wall without spontaneous separation at delivery. Though relatively rare, PAS presents a particular challenge to anesthesiologists, as it is associated with massive peripartum hemorrhage and high maternal morbidity and mortality. Standardized evidence-based PAS management strategies are currently evolving and emphasize: "PAS centers of excellence", multidisciplinary teams, novel diagnostics/pharmaceuticals (especially regarding hemostasis, hemostatic agents, point-of-care diagnostics), and novel operative/interventional approaches (expectant management, balloon occlusion, embolization). Though available data are heterogeneous, these developments affect anesthetic management and must be considered in planed anesthetic approaches. This two-part review provides a critical overview of the current evidence and offers structured evidence-based recommendations to help anesthesiologists improve outcomes for women with PAS. This first part discusses PAS management in centers of excellence, multidisciplinary care team, anesthetic approach and monitoring, surgical approaches, patient safety checklists, temperature management, interventional radiology, postoperative care and pain therapy. The diagnosis and treatment of hemostatic disturbances and preoperative prepartum anemia, blood loss, transfusion management and postpartum venous thromboembolism will be addressed in the second part of this series.
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Affiliation(s)
- Rick Enste
- Department of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Patrick Cricchio
- Department of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Pierre-Yves Dewandre
- Department of Anesthesia and Intensive Care Medicine, Université de Liège, Liege, Belgium
| | - Thorsten Braun
- Department of Obstetrics and 'Exp. Obstetrics', Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Christopher O Leonards
- Department of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Phil Niggemann
- Department of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Claudia Spies
- Department of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Wolfgang Henrich
- Department of Obstetrics and 'Exp. Obstetrics', Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Lutz Kaufner
- Department of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
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Deep Learning Algorithm-Based Ultrasound Image Information in Diagnosis and Treatment of Pernicious Placenta Previa. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2022; 2022:3452176. [PMID: 35707039 PMCID: PMC9192257 DOI: 10.1155/2022/3452176] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 05/09/2022] [Accepted: 05/11/2022] [Indexed: 12/14/2022]
Abstract
This study was to explore the value of the deep dictionary learning algorithm in constructing a B ultrasound scoring system and exploring its application in the clinical diagnosis and treatment of pernicious placenta previa (PPP). 60 patients with PPP were divided into a low-risk group (severe, implantable) and high-risk group (adhesive, penetrating) according to their clinical characteristics, B ultrasound imaging characteristics, and postpartum pathological examination results. Under PPP ultrasonic image information using the deep learning algorithm, the B ultrasound image diagnostic scoring system was established to predict the depth of various types of placenta accreta. The results showed that the cut-off values of severe, implantable, adhesive, and penetrating types were <2.3, 2.3-6.5, 6.5-9, and ≥9 points, respectively; there were significant differences in the termination of pregnancy and neonatal birth weight between the two groups (P < 0.05); the positive predictive value, negative predictive value, and false positive rate of ultrasound images based on the deep dictionary learning algorithm for PPP were 95.33%, 94.89%, and 3.56%, respectively. Thus, the ultrasound image diagnostic scoring system based on the deep learning algorithm has an important predictive role for PPP, which can provide a more targeted diagnosis and treatment plan for patients in clinical practice and improve the prediction and treatment efficiency.
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Zhou C, Zhao Y, Li Y. Clinical Analysis of Factors Influencing the Development of Placenta Praevia and Perinatal Outcomes in First-Time Pregnant Patients. Front Surg 2022; 9:862655. [PMID: 35392051 PMCID: PMC8980226 DOI: 10.3389/fsurg.2022.862655] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 02/21/2022] [Indexed: 11/13/2022] Open
Abstract
Objective To analyze the risk factors associated with the development of placenta praevia (PP) in first-time pregnant patients and to observe the perinatal clinical outcomes of patients. Methods The clinical data of 112 pregnant women with PP (PP group) and 224 pregnant women with normal placental position (general group) who delivered in our hospital from August 2016 to August 2021 were retrospectively analyzed. Baseline demographic data such as age, gestational week, uterine history, assisted reproductive technology use, pregnancy comorbidities, pre-pregnancy body mass index (BMI), smoking, alcohol consumption, placental position, educational level, work were collected from both groups, and logistic regression models were used to analyze the factors influencing the occurrence of PP in patients with first pregnancy. Perinatal outcomes such as implementation of hemostatic treatment (uterine balloon compression, arterial ligation, and B-Lynch suture), maternal postpartum related indicators (amount of postpartum bleeding, incidence of postpartum hemorrhage, blood transfusion rate, blood transfusion volume, and length of hospital stay), and neonatal condition (birth weight, Apgar score at 1 and 5 min after birth) were counted and compared between the two groups. Results Histories of endometriosis, use of assisted reproductive technology, and smoking or secondhand smoke inhalation were all high risk factors for PP in patients with first pregnancies, and the proportion of maternal and neonatal adverse outcomes was significantly higher in the PP group than in the general group (P < 0.05). Conclusion Histories of endometriosis, smoking (secondhand smoke), and use of assisted reproductive technologies are independent risk factors for PP in patients with first pregnancies, which can increase the risk of labor and death of the newborn.
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