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BMC Pregnancy and Childbirth Nov 2023Given the physiological changes during pregnancy, pregnant women are likely to develop recurrent urinary tract infections (UTIs) and pyelonephritis, which may result in... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Given the physiological changes during pregnancy, pregnant women are likely to develop recurrent urinary tract infections (UTIs) and pyelonephritis, which may result in adverse obstetric outcomes, including prematurity and low birth weight preeclampsia. However, data on UTI prevalence and bacterial profile in Latin American pregnant women remain scarce, necessitating the present systematic review to address this issue.
METHODS
To identify eligible observational studies published up to September 2022, keywords were systematically searched in Medline/PubMed, Cochrane Library, Embase, Web of Science, and Bireme/Lilacs electronic databases and Google Scholar. The systematic review with meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, and the quality of studies was classified according to the Strengthening the Reporting of Observational Studies in Epidemiology guidelines. The meta-analysis employed a random-effects method with double-arcsine transformation in the R software.
RESULTS
Database and manual searches identified 253,550 citations published until September 2022. Among the identified citations, 67 met the inclusion criteria and were included in the systematic review, corresponding to a sample of 111,249 pregnant women from nine Latin American countries. Among Latin American pregnant women, the prevalence rates of asymptomatic bacteriuria, lower UTI, and pyelonephritis were estimated at 18.45% (95% confidence interval [CI]: 15.45-21.53), 7.54% (95% CI: 4.76-10.87), and 2.34% (95% CI: 0.68-4.85), respectively. Some regional differences were also detected. Among the included studies, Escherichia coli (70%) was identified as the most frequently isolated bacterial species, followed by Klebsiella sp. (6.8%).
CONCLUSION
Pregnant women in Latin America exhibit a higher prevalence of bacteriuria, UTI, and pyelonephritis than pregnant women globally. This scenario reinforces the importance of universal screening with urine culture during early prenatal care to ensure improved outcomes. Future investigations should assess the microbial susceptibility profiles of uropathogens isolated from pregnant women in Latin America.
TRIAL REGISTRATION
This research was registered at PROSPERO (No. CRD42020212601).
Topics: Infant, Newborn; Pregnancy; Female; Humans; Bacteriuria; Latin America; Pregnant Women; Pregnancy Complications, Infectious; Prevalence; Urinary Tract Infections; Pyelonephritis; Anti-Bacterial Agents
PubMed: 37940852
DOI: 10.1186/s12884-023-06060-z -
AJOG Global Reports Feb 2024This review examined the quantitative relationship between group care and overall maternal satisfaction compared with standard individual care. (Review)
Review
OBJECTIVE
This review examined the quantitative relationship between group care and overall maternal satisfaction compared with standard individual care.
DATA SOURCES
We searched CINAHL, Clinical Trials, The Cochrane Library, PubMed, Scopus, and Web of Science databases from the beginning of 2003 through June 2023.
STUDY ELIGIBILITY CRITERIA
We included studies that reported the association between overall maternal satisfaction and centering-based perinatal care where the control group was standard individual care. We included randomized and observational designs.
METHODS
Screening and independent data extraction were carried out by 4 researchers. We extracted data on study characteristics, population, design, intervention characteristics, satisfaction measurement, and outcome. Quality assessment was performed using the Cochrane tools for Clinical Trials (RoB2) and observational studies (ROBINS-I). We summarized the study, intervention, and satisfaction measurement characteristics. We presented the effect estimates of each study descriptively using a forest plot without performing an overall meta-analysis. Meta-analysis could not be performed because of variations in study designs and methods used to measure satisfaction. We presented studies reporting mean values and odds ratios in 2 separate plots. The presentation of studies in forest plots was organized by type of study design.
RESULTS
A total of 7685 women participated in the studies included in the review. We found that most studies (ie, 17/20) report higher satisfaction with group care than standard individual care. Some of the noted results are lower satisfaction with group care in both studies in Sweden and 1 of the 2 studies from Canada. Higher satisfaction was present in 14 of 15 studies reporting CenteringPregnancy, Group Antenatal Care (1 study), and Adapted CenteringPregnancy (1 study). Although indicative of higher maternal satisfaction, the results are often based on statistically insignificant effect estimates with wide confidence intervals derived from small sample sizes.
CONCLUSION
The evidence confirms higher maternal satisfaction with group care than with standard care. This likely reflects group care methodology, which combines clinical assessment, facilitated health promotion discussion, and community-building opportunities. This evidence will be helpful for the implementation of group care globally.
PubMed: 38318267
DOI: 10.1016/j.xagr.2023.100301 -
Journal of Personalized Medicine Aug 2023Coronavirus disease (COVID-19) is a pandemic causing respiratory symptoms, taste alterations, olfactory disturbances, and cutaneous, cardiovascular, and neurological... (Review)
Review
Coronavirus disease (COVID-19) is a pandemic causing respiratory symptoms, taste alterations, olfactory disturbances, and cutaneous, cardiovascular, and neurological manifestations. Recently, research interest has shifted to reproductive health to understand the factors predisposing to COVID-19 infection in pregnancy, the consequences of the infection on the fetus and on the mother, and possible vertical transmission through the placenta. Pregnancy does not increase the risk of SARS-CoV-2 infection, according to studies. However, contrary to non-pregnant women, pregnancy worsens the clinical outcome of COVID-19. Studies investigating the effects of COVID-19 on pregnancy women are heterogeneous, and the results are often conflicting. The goal of the current work was to offer a thorough and up-to-date systematic review of, and meta-analysis on, the impact of COVID-19 on ovarian function, pregnancy, and fetal outcomes. This meta-analysis (PROSPERO n. CRD42023456904) was conducted using the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) protocols. The search for relevant material was conducted using PubMed, Scopus, Cochrane, and Embase databases, through to 15 December 2022. Original articles on fertile pregnant women or women attempting to become pregnant, with an active case of, or history of, SARS-CoV-2 infection were included, and reproductive function was compared to that of uninfected women. The effects of COVID-19 on female reproductive function, particularly ovarian function, the profile of female sex hormones, pregnancy outcomes and fetal outcomes were the focus of our search. Quantitative analysis was performed with Comprehensive Meta-Analysis Software. The standard difference of the mean was calculated for the statistical comparison between cases and controls. Cochran's Q test and heterogeneity (I) indexes were used to assess statistical heterogeneity. Sensitivity analysis and publication bias tests were also performed. Twenty-eight articles met our inclusion criteria, for a total of 27,383 patients pregnant or looking to have offspring, with active or anamnestic COVID-19, and 1,583,772 uninfected control women. Our study revealed that there was no significant difference between COVID-19 patients and the control group in terms of maternal characteristics such as age, body mass index (BMI) and comorbidities that could affect pregnancy and fetal outcomes. The risk of a miscarriage or Cesarean delivery was significantly lower, while the risk of fetal death or premature delivery was significantly higher in COVID-19 patients than in the controls. None of the included studies evaluated hormonal profiles or investigated the presence of infertility. Maternal comorbidities, age, and BMI do not raise the risk of COVID-19. However, pregnant women with COVID-19 had a lower risk of miscarriage and Cesarean delivery, possibly because of better prenatal care and high levels of observation during labor. COVID-19 during pregnancy increases the risk of fetal death and premature delivery.
PubMed: 37763105
DOI: 10.3390/jpm13091337 -
The Yale Journal of Biology and Medicine Mar 2024: to evaluate the effect of prenatal care (PC) on perinatal outcomes of pregnant women with diabetes mellitus (DM). : systematic review developed according to Preferred... (Review)
Review
: to evaluate the effect of prenatal care (PC) on perinatal outcomes of pregnant women with diabetes mellitus (DM). : systematic review developed according to Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) 2020 guidelines and conducted through the population, intervention, control, and outcomes (PICO) strategy. Clinical trials and observational studies were selected, with adult pregnant women, single-fetus pregnancy, diagnosis of DM, or gestational DM and who had received PC and/or nutritional therapy (NT). The search was carried out in PubMed, Scopus, and BIREME databases. The quality of the studies was evaluated using the tools of the National Heart, Lung and Blood Institute-National Institutes of Health (NHLBI-NIH). : We identified 5972 records, of which 15 (n=47 420 pregnant women) met the eligibility criteria. The most recurrent outcomes were glycemic control (14 studies; n=9096 participants), hypertensive disorders of pregnancy (2; n=39 282), prematurity (6; n=40 163), large for gestational age newborns (4; n=1556), fetal macrosomia (birth weight >4kg) (6; n=2980) and intensive care unit admission (4; n=2022). : The findings suggest that PC interferes with the perinatal outcome, being able to reduce the risks of complications associated with this comorbidity through early intervention, especially when the NT is an integral part of this assistance.
Topics: United States; Adult; Pregnancy; Infant, Newborn; Female; Humans; Prenatal Care; Pregnant Women; Diabetes, Gestational
PubMed: 38559460
DOI: 10.59249/WPTY4075 -
Healthcare (Basel, Switzerland) Sep 2023Antenatal care (ANC) is essential in maternal and child health since it provides care to pregnant women from conception through to labour in order to ensure a safe... (Review)
Review
Antenatal care (ANC) is essential in maternal and child health since it provides care to pregnant women from conception through to labour in order to ensure a safe pregnancy and childbirth. In recent years, mobile health (mHealth) interventions have emerged as a promising solution to improve maternal and child health outcomes in low- and middle-income countries (LMICs). The present study aimed to conduct a systematic review and meta-analysis of trials to evaluate the effectiveness of mHealth interventions to monitor prenatal care among pregnant women in LMICs. A systematic literature review was conducted using the databases CINHAL, Embase, MEDLINE, and PsycINFO on the effectiveness of mHealth interventions in monitoring the antenatal care of pregnant women. The study selection, data extraction of the included articles, and quality appraisal were assessed. Our study included six studies considering 7886 participants. All articles were from low- and middle-income countries (LMICs). Antenatal mothers who used a mobile health intervention were more likely (RR = 1.66, 95%CI = 1.07-2.58, I = 98%) to attend ANC check-ups when compared with the women who did not use any mobile health applications or did not receive any short message services. mHealth technologies are being utilised more and more to increase care accessibility and improve maternal and fetal health. Policymakers should prioritise the integration of mHealth interventions into maternal healthcare services in LMICs, ensuring that they are cost-effective, accessible, and sustainable and that healthcare workers are trained to deliver these interventions effectively.
PubMed: 37830672
DOI: 10.3390/healthcare11192635 -
The Journal of Maternal-fetal &... Dec 2023To estimate the incremental yield of detecting pathogenic or likely pathogenic diagnostic genetic variants (DGV) by whole exome sequencing (WES) over standard karyotype... (Meta-Analysis)
Meta-Analysis
OBJECTIVE
To estimate the incremental yield of detecting pathogenic or likely pathogenic diagnostic genetic variants (DGV) by whole exome sequencing (WES) over standard karyotype and chromosomal microarray (CMA) analyses in fetuses with isolated increased nuchal translucency (NT) and normal fetal anatomy at the time of 11-14 weeks scan.
MATERIALS AND METHODS
Medline and Embase databases were searched. Inclusion criteria were fetuses with NT >95 percentile, normal karyotype and CMA and no associated structural anomalies at the time of the 11-14 weeks scan. The primary outcome was to estimate the incremental yield of detecting pathogenic or likely pathogenic genetic variants by WES over standard karyotype and CMA analyses in fetuses with isolated increased nuchal translucency. The secondary outcomes were the detection of a genetic variant of unknown significance. Sub-analysis according to different NT cutoffs (between 3.0 and 5.5 mm and > 5.5 mm) and considering fetuses with isolated NT in which fetal anatomy was confirmed to be normal at the anomaly scan were also performed. Random effects model meta-analyses of proportion were used to analyze the data.
RESULTS
Eight articles (324 fetuses) were included in the systematic review. Of the fetuses with negative standard karyotype and CMA analysis, the 8.07% (95% CI 5.4-11.3) had pathogenic or likely pathogenic genetic variants detected exclusively by WES. When stratifying the analysis according to NT cutoffs, genetic anomalies detected exclusively at WES analysis were found in 44.70% (95% CI 26.8-63.4) of fetuses with NT between 3.0 mm and 5.5 mm and 55.3% (95% CI 36.6-73.2) in those fetuses with NT >5.5 mm and positive WES results. The 7.84% (95% CI 1.6-18.2) had variants of unknown significance identified by WES. When considering fetuses with isolated increased NT and normal fetal anatomy at the anomaly scan, the rate of pathogenic or likely pathogenic genetic variants detected by WES was 3.87% (95% CI 1.6-7.1), while variants of unknown significance were detected in 4.27% (95% CI 2.2-7.0) of cases.
CONCLUSIONS
Pathogenic and likely pathogenic genetic variants detected by WES are present in a significant proportion of fetuses with increased NT but normal standard karyotype and CMA analysis, also when no anomalies are detected at the anomaly scan. Further large studies sharing objective protocols of imaging assessment are needed to confirm these findings and to elucidate which gene panels should be assessed in fetuses with isolated increased NT to rule out associated genetic anomalies, which may potentially impact post-natal outcomes.
Topics: Pregnancy; Female; Humans; Nuchal Translucency Measurement; Exome Sequencing; Fetus; Karyotyping; Karyotype; Prenatal Diagnosis
PubMed: 37019452
DOI: 10.1080/14767058.2023.2193285 -
Ecotoxicology and Environmental Safety Jul 2024Fetal overgrowth has detrimental effects on both the mother and the fetus. The global issue of ambient air pollution has been found to contribute to fetal overgrowth... (Review)
Review
OBJECTIVES
Fetal overgrowth has detrimental effects on both the mother and the fetus. The global issue of ambient air pollution has been found to contribute to fetal overgrowth through various pathways. This study aimed to identify the association between prenatal exposure to ambient air pollution and the risk of fetal overgrowth.
METHODS
We identified articles between January 2013 and February 2024 by searching the Web of Sciences(WoS), PubMed, Proquest, Scopus, and Google Scholar databases. Quality assessment was performed using the Newcastle Ottawa scale. This review was provided based on the PRISMA guideline and registered with PROSPERO, "CRD42023488936".
RESULTS
The search generated 1719 studies, of which 22 cohort studies were included involving 3,480,041 participants. Results on the effects of air pollutants on fetal overgrowth are inconsistent because they vary in population and geographic region. But in general, the results indicate that prenatal exposure to air pollutants, specifically PM, NO, and SO, is linked to a higher likelihood of fetal overgrowth(macrosomia and large for gestational age). Nevertheless, the relationship between CO and O pollution and fetal overgrowth remains uncertain. Furthermore, PM has a limited effect on fetal overgrowth. It is essential to consider the time that reproductive-age women are exposed to air pollution. Exposure to air pollutants before conception and throughout pregnancy has a substantial impact on the fetus's vulnerability to overgrowth.
CONCLUSIONS
Fetal overgrowth has implications for the health of both mother and fetus. fetal overgrowth can cause cardiovascular diseases, obesity, type 2 diabetes, and other diseases in adulthood, so it is considered an important issue for the health of the future generation. Contrary to popular belief that air pollution leads to intrauterine growth restriction and low birth weight, this study highlights that one of the adverse consequences of air pollution is macrosomia or LGA during pregnancy. Therefore governments must focus on implementing initiatives that aim to reduce pregnant women's exposure to ambient air pollution to ensure the health of future generations.
Topics: Pregnancy; Humans; Female; Air Pollution; Air Pollutants; Prenatal Exposure Delayed Effects; Maternal Exposure; Cohort Studies; Fetal Development; Particulate Matter
PubMed: 38823346
DOI: 10.1016/j.ecoenv.2024.116526 -
Obstetrics and Gynecology Mar 2024To identify the social-structural determinants of health risk factors associated with maternal morbidity and mortality in the United States during the prenatal and...
OBJECTIVE
To identify the social-structural determinants of health risk factors associated with maternal morbidity and mortality in the United States during the prenatal and postpartum periods.
DATA SOURCES
We searched MEDLINE, CINAHL, and Social Sciences Citation Index through November 2022 for eligible studies that examined exposures related to social and structural determinants of health and at least one health or health care-related outcome for pregnant and birthing people.
METHODS OF STUDY SELECTION
After screening 8,378 unique references, 118 studies met inclusion criteria.
TABULATION, INTEGRATION, AND RESULTS
We grouped studies by social and structural determinants of health domains and maternal outcomes. We used alluvial graphs to summarize results and provide additional descriptions of direction of association between potential risk exposures and outcomes. Studies broadly covered risk factors including identity and discrimination, socioeconomic, violence, trauma, psychological stress, structural or institutional, rural or urban, environment, comorbidities, hospital, and health care use. However, these risk factors represent only a subset of potential social and structural determinants of interest. We found an unexpectedly large volume of research on violence and trauma relative to other potential exposures of interest. Outcome domains included maternal mortality, severe maternal morbidity, hypertensive disorders, gestational diabetes, cardiac and metabolic disorders, weathering depression, other mental health or substance use disorders, and cost per health care use outcomes. Patterns between risk factors and outcomes were highly mixed. Depression and other mental health outcomes represented a large proportion of medical outcomes. Risk of bias was high, and rarely did studies report the excess risk attributable to a specific exposure.
CONCLUSION
Limited depth and quality of available research within each risk factor hindered our ability to understand underlying pathways, including risk factor interdependence. Although recently published literature showed a definite trend toward improved rigor, future research should emphasize techniques that improve the ability to estimate causal effects. In the longer term, the field could advance through data sets designed to fully ascertain data required to robustly examine racism and other social and structural determinants of health, their intersections, and feedback loops with other biological and medical risk factors.
SYSTEMATIC REVIEW REGISTRATION
PROSPERO, CRD42022300617.
Topics: Pregnancy; Female; Humans; Diabetes, Gestational; Mental Health; Postpartum Period; Maternal Mortality; Violence
PubMed: 38128105
DOI: 10.1097/AOG.0000000000005489 -
International Journal of Environmental... Apr 2024Daily, the number of women who die around the world reaches an average of 800; these deaths are a result of obstetric complications in pregnancy and childbirth, and 99%... (Review)
Review
Daily, the number of women who die around the world reaches an average of 800; these deaths are a result of obstetric complications in pregnancy and childbirth, and 99% of these deaths occur in low- and middle-income countries. This review probes the use of antenatal care (ANC) and skilled birth delivery (SBD) services in sub-Saharan Africa (SSA) and highlights research gaps using Arksey and O'Malley's methodological approach. The screening of abstracts and full text was carried out by two independent authors who ensured the eligibility of data extraction from the included articles. An exploration of the data was undertaken with descriptive analyses. In total, 350 potentially eligible articles were screened, and 137 studies were included for data extraction and analysis. From the 137 included studies, the majority were from Ethiopia ( = 40, 29.2%), followed by Nigeria ( = 30, 21.9%). Most of the studies were published between 2019 and 2023 ( = 84, 61%). Significant trends and challenges with ANC and SBD services emerged from the studies. It is revealed that there are wide gaps in the utilization of ANC and SBD services. Policy attention, intervention strategies to improve access, resources, rural-urban disparity, and women's literacy are recommended to improve the utilization of ANC and SBD services in SSA countries.
Topics: Humans; Prenatal Care; Africa South of the Sahara; Female; Pregnancy; Delivery, Obstetric; Patient Acceptance of Health Care
PubMed: 38673351
DOI: 10.3390/ijerph21040440 -
BMC Pregnancy and Childbirth Jan 2024This systematic review provides an overview of machine learning (ML) approaches for predicting preeclampsia.
BACKGROUND
This systematic review provides an overview of machine learning (ML) approaches for predicting preeclampsia.
METHOD
This review adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyzes (PRISMA) guidelines. We searched the Cochrane Central Register, PubMed, EMBASE, ProQuest, Scopus, and Google Scholar up to February 2023. Search terms were limited to "preeclampsia" AND "artificial intelligence" OR "machine learning" OR "deep learning." All studies that used ML-based analysis for predicting preeclampsia in pregnant women were considered. Non-English articles and those that are unrelated to the topic were excluded. The PROBAST was used to assess the risk of bias and applicability of each included study.
RESULTS
The search strategy yielded 128 citations; after duplicates were removed and title and abstract screening was completed, 18 full-text articles were evaluated for eligibility. Four studies were included in this review. Two studies were at low risk of bias, and two had low to moderate risk. All of the study designs included were retrospective cohort studies. Nine distinct models were chosen as ML models from the four studies. Maternal characteristics, medical history, medication intake, obstetrical history, and laboratory and ultrasound findings obtained during prenatal care visits were candidate predictors to train the ML model. Elastic net, stochastic gradient boosting, extreme gradient boosting, and Random forest were among the best models to predict preeclampsia. All four studies used metrics such as the area under the curve, true positive rate, negative positive rate, accuracy, precision, recall, and F1 score. The AUC of ML models varied from 0.860 to 0.973 in four studies.
CONCLUSION
The results of studies yielded high prediction performance of ML models for preeclampsia risk from routine early pregnancy information.
Topics: Pregnancy; Humans; Female; Pre-Eclampsia; Retrospective Studies; Machine Learning; Prenatal Care; Risk
PubMed: 38166801
DOI: 10.1186/s12884-023-06220-1