View clinical trials related to Low Birth Weight.
Filter by:The investigators recently demonstrated a increase in liver fat in early middle-aged LBW compared to normal birth weight (NBW) men, and 20% of the LBW - but none of the normal birth weight (NBW) - men had previously unknown non-alcoholic fatty liver disease (NAFLD). Here the investigators will further examine the Increased risk of non-alcoholic fatty liver disease in low birth weight individuals by performing a validation study.
The aim of the DenBalo study is to apply integrated multi-omics methods to examine the biological mechanisms underlying this vulnerability in Small Vulnerable Newborns (SVNs) in LMICs, with the ultimate goal of identifying targeted interventions to reduce morbidity and mortality in this high-risk population. The evidence generated from this project will ultimately help promote healthy pregnancies and the birth of healthy babies. To achieve this goal, three research objectives are proposed: 1. To describe and compare gut microbiota, immune system and breastmilk components in SVNs versus healthy community controls in urban Burkina Faso. 2. To describe and compare the development of the gut microbiota, the immune system and breastmilk components during the first six months of life in SVNs versus healthy community controls in urban Burkina Faso. 3. To investigate the relationship between the composition of the gut microbiota, the immune system and breastmilk components during the first six months of life in SVNs versus healthy community controls in urban Burkina Faso.
This trial will evaluate the impact of an integrated intervention of daily maternal calcium, aspirin, and multiple micronutrients (CAMMS) compared to iron-folic acid (IFA) during pregnancy on preterm birth and other adverse birth outcomes. Both interventions will be delivered through existing antenatal service platforms using context-specific strategies informed by formative research incorporating human-centered design processes to achieve high acceptability and high adherence, in three low-income countries with diverse contexts: Burkina Faso, Pakistan, and Zimbabwe.
The primary aim of the study is to evaluate the effect of fortified balanced energy and protein (BEP) supplementation vs. control (multiple micronutrient supplement, MMS) without targeting and with targeting (either by low prepregnancy BMI or low prepregnancy BMI and inadequate gestational weight gain) on birth weight and adverse birth outcomes of low birth weight (LBW < 2500 g) and small-for-gestational age (SGA). To do this we are proposing a cluster-randomized, open labeled effectiveness trial with four arms The main question[s] it aims to answer are: • Does mean birth weight and rate of LBW and SGA differ among mothers randomized to four arms that include targeted or untargeted BEP supplementation vs. MMS differ. Participants will be recruited in early pregnancy and be enrolled in the trial and randomly receive: 1. A daily BEP supplement from enrollment until birth 2. A daily BEP supplement from enrollment until birth, if they have low pre-pregnancy BMI with the rest receiving a MMS supplement 3. A daily BEP supplement from enrollment until birth, if they have low pre-pregnancy BMI with the rest receiving a MMS supplement or get switched to a BEP supplement based on inadequate gestational weight gain. Researchers will compare the above groups to women receiving a MMS daily to see if birth weight is higher in the intervention arms. Other adverse outcomes such as low birth weight, small-for-gestational age and preterm birth will also be compared between groups and relative to the control.
Background: The burden of preterm and low birth weight babies (LBW) is high in low- and middle-income countries (LMICs). Therefore, assessment of gestational age (GA) and birth weight is important. The GA is assessed using a reliable last menstrual period (LMP), measuring fundal height, using ultrasound for dating, or postnatally using Ballard, Dubowitz, or Eregie scores. However, each method has some limitations. Pregnant women in LMIC are not able to recall LMP and are also unreliable when menstrual cycles are irregular, fundal height is often imprecise and subject to variation due to observer bias, uterine pathologies, abdominal obesity, amniotic fluid volume, fetal position, and ultrasound in a rural setting is often unreliable because lack of trained sonologist, power failures, and maintenance of ultrasound machine. Post-natal GA scoring is also lengthy, subjective, and time-consuming. Similarly, determining birth weight has many challenges. In Thatta, weighing scales are only available in health facilities, therefore, birth weight is available for babies born in the health facilities. Furthermore, even where weighing scales are available, the calibration and maintenance are not without challenges, especially in the extremely hot climate. In the majority of studies, foot length has been validated for determining GA and birth weight, with LMP serving as the gold standard, which has limitations in our population. In a meta-analysis on the diagnostic accuracy of foot length to identify preterm and LBW, researchers emphasized the need for studies using high-quality ultrasound as a reference standard for early dating. Hence, there is a need to develop a simple and effective method of GA and birth weight that healthcare providers of all levels including mid-level healthcare workers in remote areas can use with reasonable accuracy. Objectives of the study The primary objectives of the study are to determine the diagnostic accuracy of foot length in predicting GA and low birth weight using ultrasound conducted between 6-20 weeks for the predicted estimated date of delivery (EDD) as the gold standard. Secondary objectives of the study are, 1) to develop the regression equations that predict gestational age and low birth weight using foot length, 2) to assess the use of foot length measurement as a screening tool to identify LBW or preterm infants in a community-based setting, and 3) to develop percentile charts of foot length for gestational age and low birth weight Methods: This test validation study will be conducted in Global Network's Maternal and Newborn Health Registry catchment area. All live birth singleton babies who have a first-trimester ultrasound for gestational age and birth weight within 48 hours of birth will be included in this study. Stillbirths, multiple pregnancies, gross congenital malformations such as neural tube defects, omphalocele, etc., club foot, and babies with chromosomal abnormalities such as Down syndrome that make measuring foot length difficult, will be excluded from the study. Gestational age will be assessed using ultrasound between 6-20 weeks of gestation by a trained sonographer working in the registry. Neonatal assessment having neuromuscular, and physical signs will be conducted by the research assistants (RA). RA will be taking anthropometric measurements such as birth weight using calibrated weighing scales, foot length, mid-upper arm circumference, and fronto-occipital circumference. The data will be entered in Epicollect data five. Sensitivity, specificity, positive & negative predictive value, likelihood ratios, and diagnostic accuracy will be done using different cut-offs of foot length against ultrasound estimated gestational age and birth weight. Receivers operating characteristics (ROC) curves will be generated to identify the optimal cut-off point for foot length taken within 24 hours of birth for identification of prematurity and LBW (based on first-trimester ultrasound) with ≥80% sensitivity. Linear regression will be done for estimating predictive values of foot length by GA. Pentile charts for foot length (FL) against GA will be derived. Bland Altman's analyses will identify and quantify any biases inherent to the tool. Public health implications: If these equations predict gestational age and birth weight with accuracy, an android-based application can be developed for health care providers (HCP) who simply measure foot length and enter it into the application to identify preterm &/or low birth weight along with referred guidelines for early treatment. This is one step closer to Every Newborn Action Plan's goal of lowering neonatal mortality to 12/1000 LB by 2030.
Objective: to assess the perinatal results in Uruguay during the semester of successful control of the COVID 19 pandemic to evaluate the impact of the crises in the public and private sub sectors of the Health System. Methodology: An analytical observational study was carried out, comparing the semesters from March 15 to September 30, 2019 (year prior to the COVID 19 pandemic) with the same period 2020 (year of the COVID 19 pandemic), in the 2 sub sectors of public and private health care.
The objective of this randomized clinical trial will determine the effectiveness of nursing intervention (Kangaroo Baby Massage) on the interaction between mothers and premature, low birth weight infants at home The dyad mother- infant of the control group will receive Kangaroo position KP and the dyad mother- infant mothers of the intervention group will receive the Kangaroo Baby Massage KBM
This study is conducted to assess the role of pregnant women's daily mobility living in the Eurometropole of Strasbourg in a context of the existence of environmental exposure disparities (PM10, PM2.5, NO2). Furthermore, this study will tend to identify the critical windows of exposure and of greater risk of the adverse pregnancy outcomes as low birth weight and prematurity. A second question addressed in this work is to assess the relationship between the pregnant women's socio-economic status and the air pollution exposure (PM10, PM2.5, NO2).taking into account the spatio-temporal variations of the exposure as well as the critical windows of exposure during pregnancy. The present work deals with the following question "how does the combination of environmental exposure, socio-economic status and women's daily mobility, could contribute to socio-spatial inequalities in the health of the newborn? The underlying hypothesis is that the accumulation, in given area, of environmental exposures (as PM10, PM2.5 and NO2), of unfavorable living conditions (socio-economic environment) and individual factors (specific spatio-temporal trajectory) would induce an increased risk for the health of the newborn, (more particularly in terms of birth weight and term of birth). This hypothesis is structured 4 sub-hypotheses: i) The misclassification of exposure is socially distributed among pregnant women living in the Eurometropole of Strasbourg. ii) Beyond maternal and fetal characteristics, pregnant women who reside in a more socio-economically deprived neighborhood and / or with higher levels of environmental exposure to PM10, PM2.5 and NO2 are more at risk of preterm newborn and low birth weight newborn. iii) The accumulation of environmental exposures of the pregnant women and their daily mobility over their territory during the pregnancy increase the health inequalities of the newborn. iv) The critical windows of fetal exposure to pollutants is related to the socioeconomic level of their neighborhood and to the daily mobility of the women in their territory during pregnancy. Women are included in the study at the time of their first or second trimester ultrasound. Here are the tools used in the study: Descriptive survey of their idividuals characteristics, descriptive survey of women's mobility to assess their exposure during each trimester of pregnancy.
The Environmental Factors and Embryonic Development Project was set up to investigate environmental exposures and behavioral factors responsible for embryonic dysplasia and gestational complications in pregnant women.
Objective: To study the association of low maternal plasma glucose in 2 hour 75 g oral glucose tolerance test (OGTT) in women with impaired birth weight and determinate if this result is predictive of low birth weight (<10th percentile according to the INTERGROWTH-21st newborn weight standards for gestational age/sex). Materials and methods: OGTT at 24-34 week gestation will be performed in pregnant women, the birth weight will be compared between women with low fasting plasma glucose (FPG) (<10th percentile, <65 mg/dL) and normal FPG (≥10th percentile, ≥ 65 mg/dL) also for 1 and 2-hour plasma glucose (1-h PG/2-h PG). Receiver operating characteristic curve analysis will be used to determine the optimal lower OGTT threshold for the prediction of low birth weight.