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Environmental Research Aug 2023Hypertensive disorders of pregnancy (HDP), including gestational hypertension (GH) and preeclampsia (PE), cause significant morbidity and mortality among pregnant women.... (Meta-Analysis)
Meta-Analysis
Hypertensive disorders of pregnancy (HDP), including gestational hypertension (GH) and preeclampsia (PE), cause significant morbidity and mortality among pregnant women. Several environmental toxins, particularly those that affect the normal function of the placenta and the endothelium, are emerging as potential risk factors for HDP. Among them, per- and polyfluoroalkyl substances (PFAS), widely used in a variety of commercial products, have been related to a variety of adverse health effects including HDP. This study was conducted by searching three databases for observational studies reporting associations between PFAS and HDP, all of which were published before December 2022. We used random-effects meta-analysis to calculate pooled risk estimates, and assessing each combination of exposure and outcome for quality and level of evidence. In total, 15 studies were included in the systematic review and meta-analysis. The results from meta-analyses showed that risk of PE was increased with exposure to PFOA (perfluorooctanoic acid) (RR = 1.39, 95% CI = 1.05, 1.85; N = 6 studies; exposure = 1 ln-unit increment; low certainty), PFOS (perfluorooctane sulfonate) (RR = 1.51, 95% CI = 1.23, 1.86; N = 6 studies; exposure = 1 ln-unit increment; moderate certainty), and PFHxS (perfluorohexane sulfonate) (RR = 1.39, 95% CI = 1.10, 1.76; N = 6 studies; exposure = 1 ln-unit increment; low certainty). PFOS was also associated with an increased risk of HDP (RR = 1.39, 95% CI = 1.10, 1.76; exposure = 1 ln-unit increment; low certainty). Exposure to legacy PFAS (PFOA, PFOS, PFHxS) is associated with an increased risk of PE, and PFOS is further associated with HDP. In view of the limitations of meta-analysis and quality of evidence, these findings should be interpreted with caution. Further research is required that assesses exposure to multiple PFAS in diverse and well-powered cohorts.
Topics: Humans; Female; Pregnancy; Hypertension, Pregnancy-Induced; Environmental Pollutants; Pre-Eclampsia; Fluorocarbons; Alkanesulfonic Acids; Hazardous Substances; Observational Studies as Topic
PubMed: 37178750
DOI: 10.1016/j.envres.2023.116064 -
Nutrients Sep 2023Although gestational diabetes mellitus (GDM) has several short- and long-term adverse effects on the mother and the offspring, no medicine is generally prescribed to... (Meta-Analysis)
Meta-Analysis Review
Although gestational diabetes mellitus (GDM) has several short- and long-term adverse effects on the mother and the offspring, no medicine is generally prescribed to prevent GDM. The present systematic review and meta-analysis aimed to investigate the effect of inositol supplementation in preventing GDM and related outcomes. Systematic search was performed in CENTRAL, MEDLINE, and Embase until 13 September 2023. Eligible randomized controlled trials (RCTs) compared the efficacy of inositols to placebo in pregnant women at high risk for GDM. Our primary outcome was the incidence of GDM, whereas secondary outcomes were oral glucose tolerance test (OGTT) and maternal and fetal complications. (PROSPERO registration number: CRD42021284939). Eight eligible RCTs were identified, including the data of 1795 patients. The incidence of GDM was halved by inositols compared to placebo (RR = 0.42, CI: 0.26-0.67). Fasting, 1-h, and 2-h OGTT glucose levels were significantly decreased by inositols. The stereoisomer myoinositol also reduced the risk of insulin need (RR = 0.29, CI: 0.13-0.68), preeclampsia or gestational hypertension (RR = 0.38, CI: 0.2-0.71), preterm birth (RR = 0.44, CI: 0.22-0.88), and neonatal hypoglycemia (RR = 0.12, CI: 0.03-0.55). Myoinositol decrease the incidence of GDM in pregnancies high-risk for GDM. Moreover, myoinositol supplementation reduces the risk of insulin need, preeclampsia or gestational hypertension, preterm birth, and neonatal hypoglycemia. Based on the present study 2-4 g myoinositol canbe suggested from the first trimester to prevent GDM and related outcomes.
Topics: Pregnancy; Infant, Newborn; Female; Humans; Diabetes, Gestational; Premature Birth; Pre-Eclampsia; Hypertension, Pregnancy-Induced; Randomized Controlled Trials as Topic; Hypoglycemia; Insulin; Inositol
PubMed: 37836508
DOI: 10.3390/nu15194224 -
Current Hypertension Reports Jul 2024Machine learning (ML) approaches are an emerging alternative for healthcare risk prediction. We aimed to synthesise the literature on ML and classical regression studies... (Review)
Review
PURPOSE OF REVIEW
Machine learning (ML) approaches are an emerging alternative for healthcare risk prediction. We aimed to synthesise the literature on ML and classical regression studies exploring potential prognostic factors and to compare prediction performance for pre-eclampsia.
RECENT FINDINGS
From 9382 studies retrieved, 82 were included. Sixty-six publications exclusively reported eighty-four classical regression models to predict variable timing of onset of pre-eclampsia. Another six publications reported purely ML algorithms, whilst another 10 publications reported ML algorithms and classical regression models in the same sample with 8 of 10 findings that ML algorithms outperformed classical regression models. The most frequent prognostic factors were age, pre-pregnancy body mass index, chronic medical conditions, parity, prior history of pre-eclampsia, mean arterial pressure, uterine artery pulsatility index, placental growth factor, and pregnancy-associated plasma protein A. Top performing ML algorithms were random forest (area under the curve (AUC) = 0.94, 95% confidence interval (CI) 0.91-0.96) and extreme gradient boosting (AUC = 0.92, 95% CI 0.90-0.94). The competing risk model had similar performance (AUC = 0.92, 95% CI 0.91-0.92) compared with a neural network. Calibration performance was not reported in the majority of publications. ML algorithms had better performance compared to classical regression models in pre-eclampsia prediction. Random forest and boosting-type algorithms had the best prediction performance. Further research should focus on comparing ML algorithms to classical regression models using the same samples and evaluation metrics to gain insight into their performance. External validation of ML algorithms is warranted to gain insights into their generalisability.
Topics: Humans; Pre-Eclampsia; Pregnancy; Female; Machine Learning; Algorithms; Prognosis; Regression Analysis; Risk Assessment; Risk Factors; Predictive Value of Tests
PubMed: 38806766
DOI: 10.1007/s11906-024-01297-1 -
The Journal of Maternal-fetal &... Dec 2023Oxidative stress is thought to play an important role in the pathophysiology of pre-eclampsia. The glutathione S-transferases (GST) are a group of enzymes that protect... (Meta-Analysis)
Meta-Analysis
Oxidative stress is thought to play an important role in the pathophysiology of pre-eclampsia. The glutathione S-transferases (GST) are a group of enzymes that protect cells from oxidative stress. Published data on the association between the GSTT1 and GSTM1 polymorphisms and pre-eclampsia risk are controversial. A meta-analysis was performed to assess whether the polymorphisms of GSTT1 and GSTM1 are associated with pre-eclampsia risk. Medline, Embase, China National Knowledge Infrastructure, and Chinese Biomedicine Databases were searched to identify eligible studies. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) for GSTT1 and GSTM1 polymorphisms and pre-eclampsia were appropriately derived from fixed-effects or random effects models. A total of 11 studies were enrolled in this meta-analysis. The pooled analyses revealed that polymorphisms of GSTT1 and GSTM1 was not associated with pre-eclampsia risk. Heterogeneity among studies was founded in GSTT1 polymorphism. Galbraith plot analyses were performed to assess the source of heterogeneity and one study was found to be contributor of heterogeneity. The heterogeneity decreased significantly after excluding that study. Present meta-analysis reveals that GSTT1 and GSTM1 polymorphisms may be not correlated to pre-eclampsia risk.
Topics: Female; Humans; Pregnancy; Genetic Predisposition to Disease; Glutathione Transferase; Odds Ratio; Oxidative Stress; Polymorphism, Single Nucleotide; Pre-Eclampsia; Risk Factors
PubMed: 37469043
DOI: 10.1080/14767058.2023.2237623 -
BMC Pregnancy and Childbirth Sep 2023There is a dearth of robust evidence regarding the correlation between psoriasis with maternal and neonatal outcomes, making it challenging to establish definitive... (Meta-Analysis)
Meta-Analysis
BACKGROUND
There is a dearth of robust evidence regarding the correlation between psoriasis with maternal and neonatal outcomes, making it challenging to establish definitive recommendations for the management of these patients. This systematic review and meta-analysis aimed to review the evidence with regard to the impact of maternal psoriasis on maternal and neonatal outcomes.
METHODS
Following the PRISMA guideline, a systematic search of English articles using PubMed, Embase, Scopus, ScienceDirect, Web of Science, Google Scholar, and the Cochrane Library was conducted. The search was performed from inception to 22 of May 2022.
RESULT
A significant association was observed between psoriasis and maternal outcomes, including cesarean delivery [OR = 1.25 (95% CI: 1.13-1.30, p-value = 0.001)], (pre)eclampsia [OR = 1.29 (95% CI: 1.15-1.44, p-value = 0.0001)], gestational diabetes [Odds Ratio (OR) = 1.23 (95% Confidence Intervals (CI): 1.15-1.30, p-value = 0.001)], gestational hypertension [OR = 1.31 (95% CI: 1.18-1.45, p-value = 0.001)] and preterm birth [OR = 1.22 (95% CI: 1.10-1.35, p-value = 0.001)]. Also, there was a significant association between psoriasis and neonatal outcomes, including small for gestational age [OR = 1.07 (95% CI: 1.02-1.11, p-value = 0.053)], low birth weight [OR = 1.19 (95% CI: 1.02-1.38, p-value = 0.001)] and stillbirth [OR = 1.27 (95% CI: 1.04-1.55, p-value = 0.023)].
CONCLUSION
Maternal psoriasis could negatively impact maternal and neonatal outcomes. Our results strengthen the importance of close monitoring of the mothers' psoriasis status before and during pregnancy.
Topics: Pregnancy; Female; Infant, Newborn; Humans; Pregnancy Outcome; Premature Birth; Stillbirth; Diabetes, Gestational; Pre-Eclampsia
PubMed: 37777747
DOI: 10.1186/s12884-023-06006-5 -
Acta Obstetricia Et Gynecologica... Dec 2023The association between extreme birth spacing and adverse outcomes is controversial, and available evidence is fragmented into different classifications of birth spacing. (Meta-Analysis)
Meta-Analysis Review
INTRODUCTION
The association between extreme birth spacing and adverse outcomes is controversial, and available evidence is fragmented into different classifications of birth spacing.
MATERIAL AND METHODS
We conducted a systematic review of observational studies to evaluate the association between birth spacing (i.e., interpregnancy interval and interoutcome interval) and adverse outcomes (i.e., pregnancy complications, adverse birth outcomes). Pooled odds ratios (ORs) with 95% confidence intervals (CI) were calculated using a random-effects model, and the dose-response relationships were evaluated using generalized least squares trend estimation.
RESULTS
A total of 129 studies involving 46 874 843 pregnancies were included. In the general population, compared with an interpregnancy interval of 18-23 months, extreme intervals (<6 months and ≥ 60 months) were associated with an increased risk of adverse outcomes, including preterm birth, small for gestational age, low birthweight, fetal death, birth defects, early neonatal death, and premature rupture of fetal membranes (pooled OR range: 1.08-1.56; p < 0.05). The dose-response analyses further confirmed these J-shaped relationships (p < 0.001-0.009). Long interpregnancy interval was only associated with an increased risk of preeclampsia and gestational diabetes (p < 0.005 and p < 0.001, respectively). Similar associations were observed between interoutcome interval and risk of low birthweight and preterm birth (p < 0.001). Moreover, interoutcome interval of ≥60 months was associated with an increased risk of cesarean delivery (pooled OR 1.72, 95% CI 1.04-2.83). For pregnancies following preterm births, an interpregnancy interval of 9 months was not associated with an increased risk of preterm birth, according to dose-response analyses (p = 0.008). Based on limited evidence, we did not observe significant associations between interpregnancy interval or interoutcome interval after pregnancy losses and risk of small for gestational age, fetal death, miscarriage, or preeclampsia (pooled OR range: 0.76-1.21; p > 0.05).
CONCLUSIONS
Extreme birth spacing has extensive adverse effects on maternal and infant health. In the general population, interpregnancy interval of 18-23 months may be associated with potential benefits for both mothers and infants. For women with previous preterm birth, the optimal birth spacing may be 9 months.
Topics: Pregnancy; Infant; Infant, Newborn; Humans; Female; Pregnancy Outcome; Premature Birth; Birth Intervals; Pre-Eclampsia; Birth Weight; Abortion, Spontaneous; Pregnancy Complications; Fetal Growth Retardation; Mothers; Fetal Death
PubMed: 37675816
DOI: 10.1111/aogs.14648 -
Cureus Jan 2024Pre-eclampsia (PE) is one of the leading causes of maternal and perinatal health morbidity, producing more than 4.6% of complications in pregnancy worldwide. This... (Review)
Review
Pre-eclampsia (PE) is one of the leading causes of maternal and perinatal health morbidity, producing more than 4.6% of complications in pregnancy worldwide. This systematic review was conducted to determine the significance of specific biomarkers in predicting PE in gestational diabetes mellitus (GDM) and type 2 diabetes mellitus (DM). The review measured and explained the significant abnormalities in lipids, blood glucose, cytokines, inflammatory markers, placental proteins, urinary proteins, and other serum biomarkers that contribute to the development of PE in GDM and type 2 DM populations. We searched CINAHL, EMBASE, Medline, Maternity and Infant care, Scopus, and Web of Science. Studies were included if they had a measurable component in the blood serum or urine of women who developed PE and suffered from GDM or pre-existing type 2 DM. A narrative synthesis was conducted instead of a meta-analysis due to the high heterogeneity of data from the studies. A total of 2,593 studies were screened, producing eight relevant studies. Twenty-seven different biomarkers were investigated from the study group of 40 to 1,344 participants. No single biomarker was identified; however, there is a need for further research on specific biomarkers of PE, especially in CRP, FABP4, and microalbuminuria in the GDM-PE group and calprotectin in the type 2 DM population. Many biomarkers were identified as practical in predicting PE when combined with other biomarkers and more data are required to verify the predictability of the diagnostic markers in pregnant women.
PubMed: 38425589
DOI: 10.7759/cureus.53207 -
Hypertension in Pregnancy Dec 2023Hypertensive disorders in pregnancy (HDP) are a major cause of maternal mortality and morbidity. Recent studies indicated that pregnant women are the most vulnerable... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Hypertensive disorders in pregnancy (HDP) are a major cause of maternal mortality and morbidity. Recent studies indicated that pregnant women are the most vulnerable populations to ambient temperature influences, but it affected HDP with inconsistent conclusions. Our objective is to systematically review whether extreme temperature exposure is associated with a changed risk for HDP.
METHOD
We searched PubMed, EMBASE, Web of Science and Cochrane Library databases. We included cohort or case control studies examining the association between extreme temperature exposure before or during pregnancy and HDP. Heat sources such as saunas and hot baths were excluded. We pooled the odds ratio (OR) to assess the association between extreme temperature exposure and preeclampsia or eclampsia.
RESULTS
Fifteen studies involving 4,481,888 patients were included. Five studies were included in the meta-analysis. The overall result demonstrated that in the first half of pregnancy, heat exposure increases the risk of developing preeclampsia or eclampsia and gestational hypertension, and cold exposure decreases the risk. The meta-analysis revealed that during the first half of pregnancy, heat exposure increased the risk of preeclampsia or eclampsia (OR 1.54, 95% confidence interval (CI): 1.10, 2.15), whereas cold exposure decreased the risk (OR 0.90, 95% CI: 0.84, 0.97).
CONCLUSION
The ambient temperature is an important determinant for the development of HDP, especially for preeclampsia or eclampsia. The effects of extreme temperatures may be bidirectional during the different trimesters of pregnancy, which should be evaluated by future studies. This review provided hints of temperature regulation in HDP administration.
Topics: Female; Humans; Pregnancy; Hypertension, Pregnancy-Induced; Pre-Eclampsia; Eclampsia; Temperature; Risk Factors
PubMed: 38053322
DOI: 10.1080/10641955.2023.2288586 -
Journal of Clinical Medicine Feb 2024: Aspirin at 150 mg daily, initiated in the 1st trimester of pregnancy, prevents preterm pre-eclampsia. We aimed to estimate whether a dose of 75 to 81 mg daily can help... (Review)
Review
: Aspirin at 150 mg daily, initiated in the 1st trimester of pregnancy, prevents preterm pre-eclampsia. We aimed to estimate whether a dose of 75 to 81 mg daily can help to prevent preterm pre-eclampsia as well. : A systematic search was conducted using multiple databases and meta-analyses of randomized controlled trials (RCTs) that compared aspirin initiated in the first trimester of pregnancy to placebo or no treatment, following the PRISMA guidelines and the Cochrane risk of bias tool. : We retrieved 11 RCTs involving 13,981 participants. Five RCTs had a low risk of bias, one at unclear risk, and fiver had a high risk of bias. A pooled analysis demonstrated that doses of 75 to 81 mg of aspirin, compared to a placebo or no treatment, was not associated with a significant reduction in preterm pre-eclampsia (8 studies; 12,391 participants; relative risk, 0.66; 95% confidence interval: 0.27 to 1.62; = 0.36), but there was a significant heterogeneity across the studies (I = 61%, = 0.02). : It cannot be concluded that taking 75 to 81 mg of aspirin daily reduces the risk of preterm pre-eclampsia. However, given the significant heterogeneity between the studies, the true effect that such a dose of aspirin would have on pregnancy outcomes could not be properly estimated.
PubMed: 38398335
DOI: 10.3390/jcm13041022 -
Frontiers in Cardiovascular Medicine 2023Pre-eclampsia (PE) is a severe pregnancy complication. Thrombocytopenia and platelet dysfunction are common hematology disorders in PE. Previous studies considered mean... (Review)
Review
BACKGROUND
Pre-eclampsia (PE) is a severe pregnancy complication. Thrombocytopenia and platelet dysfunction are common hematology disorders in PE. Previous studies considered mean platelet volume (MPV), a functional marker of platelets, as a potentially useful predictor for the diagnosis of PE.
METHODS
PubMed, China Biomedical Literature Database, Chinese National Knowledge Infrastructure, Embase, Wanfang, VIP, and Cochrane Library databases were searched to gather diagnostic trials evaluating the diagnosis of PE using MPV, from their inception to 13 March 2023. We also searched Google Scholar and Baidu.
RESULTS
A total of 22 studies from 20 articles were found. The pooled diagnostic accuracy of the MPV for PE recognition was as follows: sensitivity (SEN) 0.676 [95% confidence interval (CI) (0.658-0.694)], specificity (SPE) 0.710 [95% CI (0.703-0.717)], and diagnostic odds ratio (DOR) 7.012 [95% CI (4.226-11.636)], and the SROC-AUC and Q* indices were 0.7889 and 0.7262, respectively. The pooled SEN, SPE, and DOR of the diagnostic accuracy of MPV for PE before 16 weeks of gestation were 0.707 [95% CI (0.670-0.743)], 0.639 [95% CI (0.611-0.667)], and 4.026 [95% CI (2.727-5.943)], and the SROC-AUC and Q* indices were 0.7278 and 0.6753, respectively. For the interval of truncation values between 9 and 10 fl, the SROC-AUC and Q* indices for MPV were 0.8856 and 0.8162, respectively.
CONCLUSIONS
Available evidence suggests that MPV has a moderate predictive and diagnostic value for PE, particularly in diagnosing after 20 weeks of gestation. The diagnostic accuracy is higher when the MPV cut-off falls between 9 and 10 fl. The sensitivity of MPV alone in diagnosing PE is not high, and the combination of other markers for predictive diagnosis may better differentiate PE.
SYSTEMATIC REVIEW REGISTRATION
https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023425154, identifier: CRD42023425154.
PubMed: 37868773
DOI: 10.3389/fcvm.2023.1251304