Dataset Information

Difficulties in the Management of Placenta Accreta Spectrum in Hospitals with Limited Resources.

ABSTRACT:

Objective

Placenta accreta spectrum (PAS) is a serious diseases, and the recommendation is that the treatment is conducted in centers of excellence. Such hospitals are not easy to find in low- and middle-income countries. We seek to describe the process of prenatal diagnosis, surgical management, and postnatal histological analysis in a low-income country referral hospital with limited resources.

Methods

A descriptive, retrospective study was carried out including patients with a pre- or intraoperative diagnosis of PAS. The clinical results of the patients were studied as well as the results of the prenatal ultrasound and the correlation with the postnatal pathological diagnosis.

Results

In total, 129 patients were included. Forty-eight of them had a prenatal PAS ultrasound diagnosis (37.2%). In the remaining 81 (62.8%), the diagnosis was intraoperative.Although hysterectomy was performed in all cases, one-third of the patients (31%) did not have a histological study of the uterus. In 40% of the patients who had a histological study, PAS was not reported by the pathologist.

Conclusion

The frequency of prenatal diagnosis and the availability of postnatal histological studies were very low in the studied population. Surgical skill, favored by a high flow of patients, is an important factor to avoid complications in settings with limited resources.

SUBMITTER: Aguilera LR

PROVIDER: S-EPMC9948092 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature

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Publications

Difficulties in the Management of Placenta Accreta Spectrum in Hospitals with Limited Resources.

Aguilera Lorgio Rudy LR Mojica-Palacios Luz Mariana LM Urquizu Federico F Gorena Mirko M Tinajeros Guzmán Freddy F Vergara Galliadi Lina María LM Hidalgo Alejandra A Nieto-Calvache Albaro José AJ

Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia 20220426 5

<h4>Objective</h4> Placenta accreta spectrum (PAS) is a serious diseases, and the recommendation is that the treatment is conducted in centers of excellence. Such hospitals are not easy to find in low- and middle-income countries. We seek to describe the process of prenatal diagnosis, surgical management, and postnatal histological analysis in a low-income country referral hospital with limited resources.<h4>Methods</h4> A descriptive, retrospective study was carried out including patients with ...[more]

PMID: 35472821

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Project description:BackgroundOn a global scale, cases of placenta accreta spectrum are often just identified during cesarean delivery because they are missed during antenatal care screening. Routine operating teams not trained in the management of placenta accreta spectrum are faced with difficult surgical situations and have to make decisions that may define the clinical outcomes. Although there are general recommendations for the intraoperative management of placenta accreta spectrum, no studies have described the clinical reality of unexpected placenta accreta spectrum cases in resource-poor settings.ObjectiveThis study aimed to describe the maternal outcomes of previously undiagnosed placenta accreta spectrum managed in resource-poor settings in Colombia and Indonesia.Study designThis was a retrospective case series of women with histologically confirmed placenta accreta spectrum treated in 2 placenta accreta spectrum centers after referral from remote resource-poor hospitals. Clinical outcomes were analyzed according to the initial type of management: (1) no cesarean delivery; (2) placenta left in situ after cesarean delivery; (3) partial removal of the placenta after cesarean delivery; and (4) post-cesarean hysterectomy. In addition, we evaluated the use of telemedicine by comparing the outcomes of women in hospitals that used the support of the placenta accreta spectrum center during the initial surgery.ResultsA total of 29 women who were initially managed in Colombia (n=2) and Indonesia (n=27) were included. The lowest volume of blood loss and the lowest frequency of complications were in women who underwent deferred cesarean delivery (n=5; 17.2%) and in those who had a delayed placental delivery (n=5; 20.7%). Five maternal deaths (14%) occurred in the group that did not receive telehelp, and 4 women died of irreversible shock because of uncontrolled bleeding.ConclusionPreviously undiagnosed placenta accreta spectrum in resource-poor hospitals was associated with a high risk of maternal mortality. Open-close abdominal surgery or leaving the placenta in situ seem to be the best choices for unexpected placenta accreta spectrum management in resource-poor settings. Telemedicine with a placenta accreta spectrum center may improve prognosis.

Project description:BackgroundThe two-child policy implemented in China resulted in a surge of high-risk pregnancies among advanced maternal aged women and presented a window of opportunity to identify a large number of placenta accreta spectrum (PAS) cases, which often invoke severe blood loss and hysterectomy. We thus had an opportunity to evaluate the surgical outcomes of a unique conservative PAS management strategy for uterus preservation, and the impacts of magnetic resonance imaging (MRI) in PAS surgical planning.MethodsCross-sectional study, comparing the outcomes of a new uterine artery ligation combined with clover suturing technique (UAL + CST) with the existing conservative surgical approaches in a maternal public hospital with an annual birth of more than 20,000 neonates among all placenta previa cases suspecting of PAS between January 1, 2015 and December 31, 2018.ResultsFrom a total of 89,397 live births, we identified 210 PAS cases from 400 singleton pregnancies with placenta previa. Aside from 2 self-requested natural births (low-lying placenta), all PAS cases had safe cesarean deliveries without any total hysterectomy. Compared with the existing approaches, the evaluated UAL + CST had a significant reduction in intraoperative blood loss (β=-312 ml, P < .001), RBC transfusion (β=-1.08 unit, P = .001), but required more surgery time (β = 16.43 min, P = .01). MRI-measured placenta thickness, when above 50 mm, can increase blood loss (β = 315 ml, P = .01), RBC transfusion (β = 1.28 unit, P = .01), surgery time (β = 48.84 min, P < .001) and hospital stay (β = 2.58 day, P < .001). A majority of percreta patients resumed normal menstrual cycle within 12 months with normal menstrual fluid volume, without abnormal urination or defecation.ConclusionsA conservative surgical management approach of UAL + CST for PAS is safe and effective with a low complication rate. MRI might be useful for planning PAS surgery.Clinical trial registration numberChiCTR2000035202.

Project description:IntroductionManagement options for women with placenta accreta spectrum (PAS) comprise termination of pregnancy before the viable gestational age, leaving the placenta in situ for subsequent reabsorption of the placenta or delayed hysterectomy, manual removal of placenta after vaginal delivery or during cesarean section, focal resection of the affected uterine wall, and peripartum hysterectomy. The aim of this observational study was to describe actual clinical management and outcomes in PAS in a large international cohort.Material and methodsData from women in 15 referral centers of the International Society of PAS (IS-PAS) were analyzed and correlated with the clinical classification of the IS-PAS: From Grade 1 (no PAS) to Grade 6 (invasion into pelvic organs other than the bladder). PAS was usually diagnosed antenatally and the operators performing ultrasound rated the likelihood of PAS on a Likert scale of 1 to 10.ResultsIn total, 442 women were registered in the database. No maternal deaths occurred. Mean blood loss was 2600 mL (range 150-20 000 mL). Placenta previa was present in 375 (84.8%) women and there was a history of a previous cesarean in 329 (74.4%) women. The PAS likelihood score was strongly correlated with the PAS grade (P < .001). The mode of delivery in the majority of women (n = 252, 57.0%) was cesarean hysterectomy, with a repeat laparotomy in 20 (7.9%) due to complications. In 48 women (10.8%), the placenta was intentionally left in situ, of those, 20 (41.7%) had a delayed hysterectomy. In 26 women (5.9%), focal resection was performed. Termination of pregnancy was performed in 9 (2.0%), of whom 5 had fetal abnormalities. The placenta could be removed in 90 women (20.4%) at cesarean, and in 17 (3.9%) after vaginal delivery indicating mild or no PAS. In 34 women (7.7%) with an antenatal diagnosis of PAS, the placenta spontaneously separated (false positives). We found lower blood loss (P < .002) in 2018-2019 compared with 2009-2017, suggesting a positive learning curve.ConclusionsIn referral centers, the most common management for severe PAS was cesarean hysterectomy, followed by leaving the placenta in situ and focal resection. Prenatal diagnosis correlated with clinical PAS grade. No maternal deaths occurred.

Project description:IntroductionThe clinical management of placenta accreta spectrum (PAS) depends on placental topography and vascular involvement. Our aim was to determine whether transabdominal and transvaginal ultrasound signs can predict PAS management.Material and methodsWe conducted a retrospective cohort study of consecutive prenatally suspected PAS cases in a single tertiary-care PAS center between January 2021 and July 2022. When PAS was confirmed during surgery, abdominal and transvaginal ultrasound scans were analyzed in relation to PAS management. The preferred surgical approach of PAS was one-step conservative surgery (OSCS). Massive blood loss and PAS topography in the lower bladder trigone necessitated cesarean hysterectomy. Transvaginal ultrasound-diagnosed intracervical hypervascularity was split into three categories based on their quantity. Anatomically, the internal cervical os is located at the level of the bladder trigone and was used as landmark for upper and lower bladder trigone PAS.ResultsNinety-one women underwent OSCS and 35 women underwent cesarean hysterectomy (total 126 women with PAS). Abdominal and transvaginal ultrasound features differed significantly between women that underwent OSCS and cesarean hysterectomy: decreased myometrial thickness (<1 mm), 82.4% vs. 100%, p = 0.006; placental bulge, 51.6% vs. 94.3%, p < 0.001; bladder wall interruption, 62.6% vs. 97.1%, p < 0.001; abnormal placental lacunae, 75.8% vs. 100%, p < 0.001; hypervascularity (large lacunae feeding vessels, 57.8% vs. 94.6%, p < 0.001; parametrial hypervascularity, 15.4% vs. 60%, p < 0.001; the rail sign, 6.6% vs. 28.6%, p = 0.003; three-dimensional Doppler intra-placental hypervascularity, 81.3% vs. 100%, p < 0.001; intracervical hypervascularity 60.4% vs. 94.3%, p < 0.001); and cervical length 2.5 ± 0.94 vs. 2.2 ± 0.73, p = 0.038. Other ultrasound signs were not significantly different. The results of multivariable logistic regression showed placental bulge (odds ratio [OR] 9.3; 95% CI 1.9-44.3; p = 0.005), parametrial hypervascularity (OR 4.1; 95% CI 1.541-11.085; p = 0.005), and intracervical hypervascularity (OR 9.2; 95% CI 1.905-44.056; p = 0.006) were weak predictors of OSCS. Intracervical hypervascularity Grade 1 (vascularity <50% of cervical tissue) was more present in OSCS than higher gradings two and three (91% vs. 27.6% vs. 14.3%; p < 0.001).ConclusionsCesarean hysterectomy is associated with the PAS signs of placental bulge and Grade 2 and 3 intracervical hypervascularity. OSCS is associated with intracervical hypervascularity Grade 1 on transvaginal ultrasound. Prospective validation is required to formulate predictors for PAS management.

Project description:BackgroundPlacenta accreta spectrum (PAS) is a rare, life-threatening complication of pregnancy. Predicting PAS severity is critical to individualise care planning for the birth. We aim to explore whether radiomic analysis of T2-weighted magnetic resonance imaging (MRI) can predict severe cases by distinguishing between histopathological subtypes antenatally.MethodsThis was a bi-centre retrospective analysis of a prospective cohort study conducted between 2018 and 2022. Women who underwent MRI during pregnancy and had histological confirmation of PAS were included. Radiomic features were extracted from T2-weighted images. Univariate regression and multivariate analyses were performed to build predictive models to differentiate between non-invasive (International Federation of Gynecology and Obstetrics [FIGO] grade 1 or 2) and invasive (FIGO grade 3) PAS using R software. Prediction performance was assessed based on several metrics including sensitivity, specificity, accuracy and area under the curve (AUC) at receiver operating characteristic analysis.ResultsForty-one women met the inclusion criteria. At univariate analysis, 0.64 sensitivity (95% confidence interval [CI] 0.0-1.00), specificity 0.93 (0.38-1.0), 0.58 accuracy (0.37-0.78) and 0.77 AUC (0.56-.097) was achieved for predicting severe FIGO grade 3 PAS. Using a multivariate approach, a support vector machine model yielded 0.30 sensitivity (95% CI 0.18-1.0]), 0.74 specificity (0.38-1.00), 0.58 accuracy (0.40-0.82), and 0.53 AUC (0.40-0.85).ConclusionOur results demonstrate a predictive potential of this machine learning pipeline for classifying severe PAS cases.Relevance statementThis study demonstrates the potential use of radiomics from MR images to identify severe cases of placenta accreta spectrum antenatally.Key points• Identifying severe cases of placenta accreta spectrum from imaging is challenging. • We present a methodological approach for radiomics-based prediction of placenta accreta. • We report certain radiomic features are able to predict severe PAS subtypes. • Identifying severe PAS subtypes ensures safe and individualised care planning for birth.

Dataset Information

Difficulties in the Management of Placenta Accreta Spectrum in Hospitals with Limited Resources.

Objective

Methods

Results

Conclusion

Publications

Difficulties in the Management of Placenta Accreta Spectrum in Hospitals with Limited Resources.

Similar Datasets

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