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Frontiers in Endocrinology 2024Preeclampsia is a disease with an unknown pathogenesis and is one of the leading causes of maternal and perinatal morbidity. At present, early identification of...
INTRODUCTION
Preeclampsia is a disease with an unknown pathogenesis and is one of the leading causes of maternal and perinatal morbidity. At present, early identification of high-risk groups for preeclampsia and timely intervention with aspirin is an effective preventive method against preeclampsia. This study aims to develop a robust and effective preeclampsia prediction model with good performance by machine learning algorithms based on maternal characteristics, biophysical and biochemical markers at 11-13 + weeks' gestation, providing an effective tool for early screening and prediction of preeclampsia.
METHODS
This study included 5116 singleton pregnant women who underwent PE screening and fetal aneuploidy from a prospective cohort longitudinal study in China. Maternal characteristics (such as maternal age, height, pre-pregnancy weight), past medical history, mean arterial pressure, uterine artery pulsatility index, pregnancy-associated plasma protein A, and placental growth factor were collected as the covariates for the preeclampsia prediction model. Five classification algorithms including Logistic Regression, Extra Trees Classifier, Voting Classifier, Gaussian Process Classifier and Stacking Classifier were applied for the prediction model development. Five-fold cross-validation with an 8:2 train-test split was applied for model validation.
RESULTS
We ultimately included 49 cases of preterm preeclampsia and 161 cases of term preeclampsia from the 4644 pregnant women data in the final analysis. Compared with other prediction algorithms, the AUC and detection rate at 10% FPR of the Voting Classifier algorithm showed better performance in the prediction of preterm preeclampsia (AUC=0.884, DR at 10%FPR=0.625) under all covariates included. However, its performance was similar to that of other model algorithms in all PE and term PE prediction. In the prediction of all preeclampsia, the contribution of PLGF was higher than PAPP-A (11.9% VS 8.7%), while the situation was opposite in the prediction of preterm preeclampsia (7.2% VS 16.5%). The performance for preeclampsia or preterm preeclampsia using machine learning algorithms was similar to that achieved by the fetal medicine foundation competing risk model under the same predictive factors (AUCs of 0.797 and 0.856 for PE and preterm PE, respectively).
CONCLUSIONS
Our models provide an accessible tool for large-scale population screening and prediction of preeclampsia, which helps reduce the disease burden and improve maternal and fetal outcomes.
Topics: Humans; Female; Pregnancy; Pre-Eclampsia; Machine Learning; Adult; China; Prospective Studies; Cohort Studies; Longitudinal Studies; Biomarkers; Algorithms; Risk Factors; Prognosis; Placenta Growth Factor
PubMed: 38919479
DOI: 10.3389/fendo.2024.1345573 -
Reumatologia Clinica Jun 2024To design a care protocol in Chronic Inflammatory Arthritis during the pre-conceptional period, pregnancy, postpartum and lactation. This protocol aims to be practical...
OBJECTIVE
To design a care protocol in Chronic Inflammatory Arthritis during the pre-conceptional period, pregnancy, postpartum and lactation. This protocol aims to be practical and applicable in consultations where patients with chronic inflammatory rheumatological diseases are treated, thus helping to better control these patients. Likewise, recommendations are offered on when patients could be consulted/referred to a specialized center by the physician.
METHODS
A multidisciplinary panel of expert physicians from different specialties identified the key points, analyzed the scientific evidence, and met to develop the care protocol.
RESULTS
The recommendations prepared have been divided into three blocks: rheumatology, gynecology and pediatrics. The first block has been divided into pre-pregnancy, pregnancy and postpartum visits.
CONCLUSIONS
This protocol tries to homogenize the follow-up of the patients from the moment of the gestational desire until the year of life of the infants. It is important to perform tests in patients of childbearing age and use drugs compatible with pregnancy. If appropriate, the patient should be referred to specialized units. Multidisciplinarity (rheumatology, gynecology and pediatrics) is essential to improve the control and monitoring of these patients and their offspring.
PubMed: 38918163
DOI: 10.1016/j.reumae.2024.03.001 -
PloS One 2024The aim of this research was to evaluate the incidence of congenital syphilis and the ratio between congenital syphilis and syphilis in pregnant women in Brazil...
The aim of this research was to evaluate the incidence of congenital syphilis and the ratio between congenital syphilis and syphilis in pregnant women in Brazil according to socioeconomic indicators (inadequate water supply and sanitation; illiteracy at 15 years of age or older; household income per capita; proportion of poor people; Gini index; human development index; and average health expenditure per inhabitant by the health system) and prenatal quality-of-care indicators. We conducted an ecological study using a sample composed of 257 municipalities, each with ≥ 100,000 inhabitants. Data was collected from four public databases: the Brazilian Institute of Geography and Statistics, comprising socioeconomical data from the 2010 census; and the data of 2019 available in the databases of the Department of Informatics of the Brazilian Health System, Information and Management of Primary Care, and the Electronic Citizen Information System. Descriptive analysis of dependent and independent variables and bivariate analysis by Negative Binomial regression were carried out. The mean incidence of congenital syphilis was 38% higher in municipalities with a Human Development Index up to 0.785 (ratio of means [RM] = 1.38; p = 0.049) and 57% higher among populations where less than 50% of primary healthcare services provided a rapid test for syphilis (RM = 1.57; p < 0.001). The ratio between congenital syphilis and syphilis in pregnant women was 29% higher in municipalities with a low household income per capita (RM = 1.29; p < 0.001) and 28% higher in locations where less than 50% of the primary healthcare services provided a rapid test for syphilis (RM = 1.28; p < 0.001). There was no statistical significance of the quality of prenatal care compared to the outcomes. This result underscores the challenges in detecting syphilis infections among pregnant women during prenatal care, consequently increasing the risk of vertical transmission of the disease to the fetus. Traits of inequality in the occurrence of congenital syphilis also draw attention to strategies to reduce health inequities and improve prenatal care.
Topics: Humans; Pregnancy; Female; Brazil; Syphilis, Congenital; Prenatal Care; Pregnancy Complications, Infectious; Incidence; Adult; Socioeconomic Factors; Syphilis; Adolescent; Young Adult
PubMed: 38917233
DOI: 10.1371/journal.pone.0306120 -
Human Resources For Health Jun 2024Physicians and associate (non-physician) clinicians conduct cesarean sections in Tanzania and Malawi. Urogenital fistulas may occur as complications of cesarean section....
BACKGROUND
Physicians and associate (non-physician) clinicians conduct cesarean sections in Tanzania and Malawi. Urogenital fistulas may occur as complications of cesarean section. Location and circumstances can indicate iatrogenic origin as opposed to ischemic injury following prolonged, obstructed labor.
METHODS
This retrospective review assessed the frequency of iatrogenic urogenital fistulas following cesarean sections conducted by either associate clinicians or physicians in Tanzania and Malawi. It focuses on 325 women with iatrogenic fistulas among 1290 women who had fistulas after cesarean birth in Tanzania and Malawi between 1994 and 2017. An equivalence test compared the proportion of iatrogenic fistulas after cesarean sections performed by associate clinicians and physicians (equivalence margin = 0.135). Logistic regression was used to model the occurrence of iatrogenic fistula after cesarean section, controlling for cadre, date, maternal age, previous abdominal surgery and parity.
RESULTS
Associate clinicians attended 1119/1290 (86.7%) cesarean births leading to fistulas, while physicians attended 171/1290 (13.3%). Iatrogenic fistulas occurred in 275/1119 (24.6%) cesarean births by associate clinicians and in 50/171 (29.2%) cesarean births by physicians. The risk difference and 90% confidence interval were entirely contained within an equivalence margin of 13.5%, supporting a conclusion of equivalence between the two cadres. The odds of iatrogenic fistula after cesarean section were not statistically significantly different between associate clinicians and physicians (aOR 0.90; 95% CI 0.61-1.33).
CONCLUSIONS
Associate clinicians appear equivalent to physicians performing cesarean sections in terms of iatrogenic fistula risk. Lower iatrogenic proportions for associate clinicians could reflect different caseloads. The occurrence of iatrogenic fistulas illustrates the importance of appropriate labor management and cesarean section decision-making, irrespective of health provider cadre. Given the noninferior performance and lower costs of employing associate clinicians, other countries with insufficient and/or unequally distributed health workforces could consider task-shifting cesarean sections to associate clinicians.
Topics: Humans; Female; Cesarean Section; Malawi; Tanzania; Retrospective Studies; Pregnancy; Adult; Iatrogenic Disease; Physicians; Young Adult; Fistula
PubMed: 38915096
DOI: 10.1186/s12960-024-00927-8 -
BMC Public Health Jun 2024To collect maternal maternity information on preterm births in two tertiary hospitals in the urban area of Baota District, Yan'an City, from January 2018 to December...
OBJECTIVE
To collect maternal maternity information on preterm births in two tertiary hospitals in the urban area of Baota District, Yan'an City, from January 2018 to December 2020, to explore the long-term and short-term effects of air pollutants (PM, PM, SO, NO, CO and O) and preterm births, and to explore changes in blood cell counts due to air pollutants.
METHODS
Daily average mass concentration data of six air pollutants in the urban area of Yan'an City from January 1, 2017 to December 31, 2020 were collected from the monitoring station in Baota District, Yan'an City. Meteorological information was obtained from the Meteorological Bureau of Yan'an City, including temperature,relative humidity and wind speed for the time period. The mass concentration of air pollutants in each exposure window of pregnant women was assessed by the nearest monitoring station method, and conditional logistic regression was used to analyze the relationship between air pollutants and preterm births, as well as the lagged and cumulative effects of air pollutants. Multiple linear regression was used to explore the relationship between air pollutants and blood tests after stepwise linear regression was used to determine confounders for each blood test.
RESULTS
The long-term effects of pollutants showed that PM, PM, SO, NOand CO were risk factors for preterm birth. In the two-pollutant model, PM, PM, SO and NO mixed with other pollutants were associated with preterm birth. The lagged effect showed that PM, PM, SO, NO, and CO were associated with preterm birth; the cumulative effect showed that other air pollutants except O were associated with preterm birth. The correlation study between air pollutants and blood indicators showed that air pollutants were correlated with leukocytes, monocytes, basophils, erythrocytes, hs-CRPand not with CRP.
CONCLUSION
Exposure to air pollutants is a risk factor for preterm birth. Exposure to air pollutants was associated with changes in leukocytes, monocytes, basophils and erythrocytes and hs-CRP.
Topics: Humans; Premature Birth; Female; Air Pollutants; Pregnancy; Adult; China; Particulate Matter; Infant, Newborn; Risk Factors; Air Pollution; Maternal Exposure; Environmental Monitoring
PubMed: 38915004
DOI: 10.1186/s12889-024-19140-2 -
Scientific Reports Jun 2024Aim of the study was to evaluate the diagnostic performance and feasibility of transabdominal ultrasound shear wave elastography (SWE) in assessing sonoelastographic...
Aim of the study was to evaluate the diagnostic performance and feasibility of transabdominal ultrasound shear wave elastography (SWE) in assessing sonoelastographic features of the uterus. Twenty-seven premenopausal women were enrolled between 2021 and 2022. Transabdominal SWE measured myometrial stiffness in various uterine segments. Additionally, tissue stiffness of the quadriceps femoris muscle and autochthonous back muscle was measured. Statistical analysis employed non-parametric tests, t test, and a robust mixed linear model. Stiffness values of the uterus and the two investigated muscle types exhibited a similar spectrum: 6.38 ± 2.59 kPa (median 5.61 kPa; range 2.76-11.31 kPa) for the uterine myometrium, 7.22 ± 1.24 kPa (6.82 kPa; 5.11-9.39 kPa) for the quadriceps femoris musle, and 7.43 ± 2.73 kPa (7.41 kPa; 3.10-13.73 kPa) for the autochthonous back muscle. A tendency for significant differences in myometrial stiffness was observed concerning the type of labor mode (mean stiffness of 9.17 ± 1.35 kPa after vaginal birth vs. 3.83 ± 1.35 kPa after Caesarian section, p = 0.01). No significant differences in myometrial stiffness were observed concerning age, BMI, previous pregnancies, uterine flexion and menstrual cycle phase. Transabdominal SWE of uterine stiffness seems to be a fast and practicable method in a clinical setting. Uterine stiffness appears to be largely independent of various factors, except for the mode of delivery. However, further studies are needed to validate these results.
Topics: Humans; Female; Elasticity Imaging Techniques; Adult; Uterus; Myometrium; Pregnancy; Middle Aged; Young Adult
PubMed: 38914622
DOI: 10.1038/s41598-024-65238-3 -
HRB Open Research 2023Improved Pregnancy Outcomes via Early Detection (IMPROvED) is a multi-centre, European phase IIa clinical study. The primary aim of IMPROvED is to enable the assessment...
BACKGROUND
Improved Pregnancy Outcomes via Early Detection (IMPROvED) is a multi-centre, European phase IIa clinical study. The primary aim of IMPROvED is to enable the assessment and refinement of innovative prototype preeclampsia risk assessment tests based on emerging biomarker technologies. Here we describe IMPROvED's profile and invite researchers to collaborate.
METHODS
A total of 4,038 low-risk nulliparous singleton pregnancies were recruited from maternity units in Ireland (N=1,501), United Kingdom (N=1,108), The Netherlands (N=810), and Sweden (N=619) between November 2013 to August 2017. Participants were interviewed by a research midwife at ~11 weeks (optional visit), ~15 weeks, ~20 weeks, ~34 weeks' gestation (optional visit), and postpartum (within 72-hours following delivery).
FINDINGS TO DATE
Clinical data included information on maternal sociodemographic, medical history, and lifestyle factors collected at ~15 weeks' gestation, and maternal measurements, collected at each study visit. Biobank samples included blood, urine, and hair collected at each study visit throughout pregnancy in all units plus umbilical cord/blood samples collected at birth in Ireland and Sweden. A total of 74.0% (N=2,922) had an uncomplicated pregnancy, 3.1% (N=122) developed preeclampsia, 3.6% (N=143) had a spontaneous preterm birth, and 10.5% (N=416) had a small for gestational age baby. We evaluated a panel of metabolite biomarkers and a panel of protein biomarkers at 15 weeks and 20 weeks' gestation for preeclampsia risk assessment. Their translation into tests with clinical application, as conducted by commercial entities, was hampered by technical issues and changes in test requirements. Work on the panel of proteins was abandoned, while work on the use of metabolite biomarkers for preeclampsia risk assessment is ongoing.
FUTURE PLANS
In accordance with the original goals of the IMPROvED study, the data and biobank are now available for international collaboration to conduct high quality research into the cause and prevention of adverse pregnancy outcomes.
PubMed: 38911611
DOI: 10.12688/hrbopenres.13812.2 -
Veterinary World May 2024Progesterone (P4) is the main hormone for pregnancy maintenance, occurring approximately 62-64 days after ovulation in bitches. Progesterone acts by binding to specific...
BACKGROUND AND AIM
Progesterone (P4) is the main hormone for pregnancy maintenance, occurring approximately 62-64 days after ovulation in bitches. Progesterone acts by binding to specific receptors. Aglepristone is a progesterone receptor (PR) antagonist with a higher affinity for PR binding. There are no published studies on cell proliferation and apoptosis in the canine uterus at the time of parturition. Therefore, this study aimed to determine the local effects of aglepristone on cell proliferation and apoptosis of interplacental uterine tissue during planned cesarean section (C-section) in bitches.
MATERIALS AND METHODS
In this study, 13 client-owned French bulldogs were examined. Bitches were divided into treatment (n = 8) and control (n = 5) groups. Ovulation timing was predicted based on the serum P4 level on 62-64 days post-ovulation for parturition. Serum P4 levels were measured before (on 60-day post-ovulation) and on C-section day (on 61-day post-ovulation). Aglepristone (Alizine), 15 mg/kg subcutaneously (SC), was administered on 60 days post-ovulation in the treatment group. A C-section was planned 20-24 h later, and interplacental uterine areas were collected from both groups during the C-section. Immunohistochemistry based on Ki-67 and TUNEL assay was used to evaluate cell proliferation and apoptosis in four different interplacental uterine tissue layers (epithelium, stroma, glandular epithelium, and myometrium). Data are reported as mean ± standard deviation. Kruskal-Wallis test was used for comparisons of more than two independent groups. P value of 0.05 was considered statistically significant.
RESULTS
One bitch in the treatment group was excluded due to emergency C-section 8 h after aglepristone administration. Serum P4 levels (ng/mL) at 20-24 h before and at C-section were 6.09 ± 2.72 and 4.32 ± 2.2 in the treatment group (n = 7) and 5.45 ± 1.28 and 3.67 ± 1.89 in the control group (n = 5), respectively. Proliferation (PI) and apoptotic (AI) indices were <5% and >45%, respectively, in both the treatment (n = 5) and control (n = 3) groups. PI and AI were detected at interplacental areas.
CONCLUSION
There were no significant differences in serum P4 levels or PI and AI indices between the groups. The PI <5% and AI was higher than 45% in both groups. Aglepristone did not have a direct effect on the serum P4 levels in both groups. These results correlated with the natural physiology of parturition preparation. Aglepristone 15 mg/kg SC injected 20-24 h before parturition had no effect on the P4 level, nor were any harmful effects observed for a planned C-section in pregnant bitches.
PubMed: 38911094
DOI: 10.14202/vetworld.2024.956-962 -
The Journal of Maternal-fetal &... Dec 2024Current guidelines recommend multidisciplinary cardiovascular obstetric programs (CVOB) to manage complex pregnant patients with cardiovascular disease. Minimal...
BACKGROUND
Current guidelines recommend multidisciplinary cardiovascular obstetric programs (CVOB) to manage complex pregnant patients with cardiovascular disease. Minimal evaluation of these programs exists, with most of these programs offered at university-based centers.
METHODS
A cohort of 113 patients managed by a CVOB team at a non-university health system (2018-2019) were compared to 338 patients seen by cardiology prior to the program (2016-2017). CVOB patients were matched with comparison patients (controls) on modified World Health Organization (mWHO) category classification, yielding a cohort of 102 CVOB and 102 controls.
RESULTS
CVOB patients were more ethnically diverse and cardiovascular risk was higher compared to controls based on mWHO ≥ II-III (57% vs 17%) and. After matching, CVOB patients had more cardiology tests during pregnancy (median of 8 tests vs 5, < .001) and were more likely to receive telemetry care (32% vs 19%, = .025). The median number of perinatology visits was significantly higher in the CVOB group (8 vs 2, < .001). Length of stay was a half day longer for vaginal delivery patients in the CVOB group (median 2.66 vs 2.13, = .006).
CONCLUSION
Implementation of a CVOB program resulted in a more diverse patient population than previously referred to cardiology. The CVOB program participants also experienced a higher level of care in terms of increased cardiovascular testing, monitoring, care from specialists, and appropriate use of medications during pregnancy.
Topics: Humans; Female; Pregnancy; Adult; Pregnancy Complications, Cardiovascular; Program Evaluation; Case-Control Studies; Obstetrics; Retrospective Studies; Cardiovascular Diseases; Cardiology; Patient Care Team
PubMed: 38910113
DOI: 10.1080/14767058.2024.2367090 -
Clinical Nutrition (Edinburgh, Scotland) Jun 2024This study aimed to develop a prediction model for identifying a woman with gestational diabetes mellitus (GDM) at high risk of type 2 diabetes (T2DM) post-birth.
Development of a risk prediction model for postpartum onset of type 2 diabetes mellitus, following gestational diabetes; the lifestyle InterVention in gestational diabetes (LIVING) study.
AIMS
This study aimed to develop a prediction model for identifying a woman with gestational diabetes mellitus (GDM) at high risk of type 2 diabetes (T2DM) post-birth.
METHODS
Utilising data from 1299 women in the Lifestyle Intervention IN Gestational Diabetes (LIVING) study, two models were developed: one for pregnancy and another for postpartum. Key predictors included glucose test results, medical history, and biometric indicators.
RESULTS
Of the initial cohort, 124 women developed T2DM within three years. The study identified seven predictors for the antenatal T2DM risk prediction model and four for the postnatal one. The models demonstrated good to excellent predictive ability, with Area under the ROC Curve (AUC) values of 0.76 (95% CI: 0.72 to 0.80) and 0.85 (95% CI: 0.81 to 0.88) for the antenatal and postnatal models, respectively. Both models underwent rigorous validation, showing minimal optimism in predictive capability. Antenatal model, considering the Youden index optimal cut-off point of 0.096, sensitivity, specificity, and accuracy were measured as 70.97%, 70.81%, and 70.82%, respectively. For the postnatal model, considering the cut-off point 0.086, sensitivity, specificity, and accuracy were measured as 81.40%, 75.60%, and 76.10%, respectively.
CONCLUSIONS
These models are effective for predicting T2DM risk in women with GDM, although external validation is recommended before widespread application.
PubMed: 38909514
DOI: 10.1016/j.clnu.2024.06.006