scholarly journals Urinary placental growth factor as a predictor of complications in hypertensive disorders in pregnancy: a protocol for systematic review and meta-analysis

BMJ Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. e046005
Author(s):  
Camille Francoeur ◽  
Julie Moreau ◽  
Samuel Lemaire-Paquette ◽  
Marie-Claude Battista ◽  
Marie-Eve Roy-Lacroix ◽  
...  

IntroductionPreeclampsia is an important cause of maternal and fetal morbidity and mortality. Although the diagnostic and prognostic values of circulating placental growth factor (PlGF) have been extensively studied, urinary PlGF represents an excellent alternative to facilitate sample collection in the follow-up of pregnant women. The aim of this study is to determine whether urinary PlGF levels throughout pregnancy can predict severe maternal, fetal/placental and neonatal complications in women with hypertensive disorders in pregnancy.Methods and analysisStudies that evaluated pregnant women with hypertensive disorders and at least one measurement of urinary PlGF will be included. Studies that measure urinary PlGF after the occurrence of the complications will be excluded. The main outcome will consist of severe maternal complications in women with hypertensive disorders in pregnancy. Secondary outcomes will consist of severe fetal/placental and neonatal complications as defined by the International Collaboration to Harmonize Outcomes for Pre-eclampsia. Prospective cohort studies and case–controls studies reporting original data will be included. Studies will be identified by searching MEDLINE and SCOPUS databases. The first literature search was conducted on 2 March 2020, and another search will be performed before analyses. All eligible studies will be assessed for risk of bias with a standardised 10-items study quality assessment tool adapted from the Study Quality Assessment tools developed by the National Institutes of Health (NIH). Summary of ORs and 95% CIs will be reported to evaluate the association between urinary PlGF levels and hypertensive disorders in pregnancy and its complications. A random-effect meta-analysis will also be performed.Ethics and disseminationReview by an ethics committee will not be required for this systematic review. This study will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and will be submitted for publication in a peer-reviewed journal as well as for presentation at conferences targeting different stakeholders, including researchers, physicians and patients.PROSPERO registration numberCRD42020186313.

2021 ◽  
Vol 29 ◽  
pp. 427-432
Author(s):  
Ge Sun ◽  
Qi Xu ◽  
Song Zhang ◽  
Lin Yang ◽  
Guoli Liu ◽  
...  

BACKGROUND: Placental growth factor (PlGF), one of the biomarkers, has a certain predictive effect on hypertensive disorders in pregnancy (HDP). OBJECTIVE: To study the HDP prediction effect of different methods for variable selection and modeling for models containing PlGF. METHODS: For the model containing PlGF, the appropriate range of PlGF parameters needed to be selected. Step-logistic regression and lasso were used to compare the model effect of twice range selection. The PlGF model with good predictive effect and appropriate detecting gestational age was selected for the final prediction. RESULTS: The effect of the model containing PlGF tested at 15–16 weeks was better than the PlGF value without comprehensive screening. The sensitivity of both methods was over 92%. By comprehensive comparison, the final model of lasso method in this study was more effective. CONCLUSIONS: In this study, a variety of methods were used to screen models containing PlGF parameters. According to clinical needs and model effects, the optimal HDP prediction model with PlGF parameters in the second trimester of 15–26 weeks of pregnancy was finally selected.


2021 ◽  
Vol 29 ◽  
pp. 165-170
Author(s):  
Qi Xu ◽  
Ge Sun ◽  
Song Zhang ◽  
Guoli Liu ◽  
Lin Yang ◽  
...  

BACKGROUND: The prediction of hypertensive disorders in pregnancy (HDP) mainly involves various aspects such as maternal characteristics and biomarkers. OBJECTIVE: We aimed to study the effect of the HDP prediction model with or without placental growth factor (PlGF). METHODS: This study used maternal factors and PlGF, and standardized the data uniformly. At 12–20 weeks, the comprehensive comparison of model quality with or without PlGF was conducted by logistic regression. RESULTS: The area under curve and the model accuracy of the model with PlGF were higher than those of the model without PlGF. The accuracy of the model with PlGF was above 90%. CONCLUSIONS: Adding PlGF to the model for predicting HDP improved the accuracy and effectiveness of the model. This study confirmed the predictive performance of PlGF.


2011 ◽  
Vol 1 (3-4) ◽  
pp. 283 ◽  
Author(s):  
Balázs Stenczer ◽  
Attila Molvarec ◽  
Nóra Gullai ◽  
Gergely Fügedi ◽  
Bálint Nagy ◽  
...  

2021 ◽  
Vol 40 (1) ◽  
Author(s):  
Angeline Jeyakumar ◽  
Vidhya Shinde ◽  
Reshma Ravindran

Abstract Background Vitamin D deficiency among pregnant women is a public health concern globally. In India, individual studies report high prevalence. However, lack of national data masks the true burden. This work determined the pooled prevalence of vitamin D deficiency among pregnant women in India through a systematic review of literature and meta-analysis. Methods Three different search engines yielded 15 eligible articles. Study quality was assessed by 10 different criteria and summary of study quality was categorized as per Cochrane standards. Meta-analysis was performed to estimate pooled prevalence of vitamin D deficiency among healthy pregnant women and heterogeneity among selected studies. A sample of n = 4088 was used to study the pooled prevalence among pregnant women. Results The random effects combined estimate was 32.35% (95% CI, (12.58–117.48). High heterogeneity (tau2 = 0.39, I2 = 100%) and high risk of bias was observed among the selected studies. The test for overall effect was observed to be z = 2.54(P = 0.01). Conclusion Pooled estimate > 30% emphasizes the need for screening through antenatal care services and initiate preventive measures to address the deficiency.


Author(s):  
Heidi F. A. Moossdorff-Steinhauser ◽  
Bary C. M. Berghmans ◽  
Marc E. A. Spaanderman ◽  
Esther M. J. Bols

Abstract Introduction and hypothesis Urinary incontinence (UI) is a common and embarrassing complaint for pregnant women. Reported prevalence and incidence figures show a large range, due to varying case definitions, recruited population and study methodology. Precise prevalence and incidence figures on (bothersome) UI are of relevance for health care providers, policy makers and researchers. Therefore, we conducted a systematic review and meta-analysis to investigate the prevalence and incidence of UI in pregnancy in the general population for relevant subgroups and assessed experienced bother. Methods All observational studies published between January 1998 and October 2018 reporting on prevalence and/or incidence of UI during pregnancy were included. All women, regardless of weeks of gestation and type of UI presented in all settings, were of interest. A random-effects model was used. Subgroup analyses were conducted by parity, trimester and subtype of UI. Results The mean (weighted) prevalence based on 44 included studies, containing a total of 88.305 women, was 41.0% (range of 9–75%). Stress urinary incontinence (63%) is the most prevalent type of UI; 26% of the women reported daily loss, whereas 40% reported loss on a monthly basis. Bother was experienced as mild to moderate. Conclusions UI is very prevalent and rising with the weeks of gestation in pregnancy. SUI is the most common type and in most cases it was a small amount. Bother for UI is heterogeneously assessed and experienced as mild to moderate by pregnant women.


2021 ◽  
Author(s):  
Kerry Evans ◽  
Stefan Rennick-Egglestone ◽  
Serena Cox ◽  
Yvonne Kuipers ◽  
Helen Spiby

BACKGROUND Symptoms of anxiety are common in pregnancy, with severe symptoms associated with negative outcomes for women and babies. Low level psychological therapy is recommended as first line treatment options for women with mild to moderate anxiety, with the aim to prevent an escalation of symptoms and provide women with coping strategies. Remotely delivered interventions have been suggested to improve access to treatment and support for women in pregnancy and provide a cost-effective, flexible and timely solution. OBJECTIVE To identify and evaluate remotely delivered, digital or on-line interventions to support women with symptoms of anxiety in pregnancy. METHODS A mixed method systematic review following a convergent segregated approach to synthesise the qualitative and quantitative data. The ACM Digital Library, AMED, ASSIA, CRD, CENTRAL, the Cochrane Library, CINAHL, EMBASE, HTA, IEEE Xplore, JBI, Maternity and Infant Care, Medline, PsycINFO and the Social Science Citation Index were searched in October 2020. Quantitative or qualitative primary research including pregnant women which evaluated remotely delivered interventions reporting measures of anxiety, fear, stress, distress, women’s views, feedback and opinions were included in the review. RESULTS Three qualitative and 14 were quantitative studies included. Populations included a general antenatal population, and pregnant women with anxiety and depression, fear of childbirth, insomnia and pre-term labour. Interventions included CBT, Problem Solving, Mindfulness and Educational designs. Most interventions were delivered via on-line platforms and 8 included direct contact from trained therapists or coaches. A meta-analysis of the quantitative data found for I-CBT and facilitated interventions there was observed beneficial effect in relation to the reduction of anxiety scores (SMD=-0.49; 95% CI=-0.75 to -0.22; SMD=-0.48; 95% CI=-0.75 to -0.22). However, due to limitations in the amount of available data and study quality, the findings should be interpreted with caution. Synthesised findings from quantitative and qualitative data found some evidence to suggest that interventions are more effective when women are motivated to maintain regular participation in interventions. Participation may be enhanced by providing regular contact with therapists, targeting interventions for women with anxiety symptoms; providing peer support forums; including components of relaxation and cognitive based skills; and providing sufficient sessions to develop new skills without being too time consuming. CONCLUSIONS There is limited evidence to suggest that pregnant women may benefit from remotely delivered interventions. The synthesised findings highlighted components of interventions which may improve the effectiveness and acceptability of remotely delivered interventions. These include providing women with contact with a therapist, healthcare professional or peer community. Women may be more motivated to complete interventions which are perceived as relevant or tailored to their needs and situations. Remote interventions may also provide women with greater anonymity to help them feel more confident in disclosing their symptoms.


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