Assessment of gestational age by new-born joint angles

2022 ◽  
Vol 11 (1) ◽  
pp. 23
Author(s):  
Rakesh Mondal ◽  
Arnab Nandy ◽  
Tanushree Mondal ◽  
DivyoshanuMondal Ivan ◽  
Tapti Sengupta ◽  
...  
Keyword(s):  
Gestational Age ◽  
Joint Angles ◽  
New Born

scholarly journals Association of new-born birth weight with maternal parameters

2019 ◽  
Vol 8 (9) ◽  
pp. 3453
Author(s):  
Anshika Kashyap ◽  
Pushpinder Kaur ◽  
Puneet Srivastava ◽  
Veena Singh
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Gestational Age ◽  
Maternal Age ◽  
Preterm Births ◽  
Maternal Anaemia ◽  
New Born ◽  
Medical College ◽  
Neonatal Birth Weight ◽  
Maternal Morbidity And Mortality

 Background: Birth weight is the single largest determinant of the neonatal survival and wellbeing. Maternal anaemia is the commonest medical disorder in pregnancy and is associated with significant maternal morbidity and mortality. The effect of haemoglobin levels of the mother on the foetus however remains unclear. This study aims at evaluating the effect of maternal anaemia on neonatal birth weight. It also evaluates the effect of parity, gestational age and maternal age on the new-born birth weight.Methods: A retrospective study was carried out on patients who had delivered in Al Falah hospital, a newly setup medical college in rural Haryana. The population was studied for maternal age, gestational period, and parity and haemoglobin levels. These parameters were correlated with neonatal birth weight. The study was carried out on deliveries which occurred over a period of six months from November 2018 to April 2019.Results: The low birth weight new-borns were 10.5%. Maternal anaemia was present in 79.74 % of women in the study group. Amongst all parameters studied, only higher parity and greater period of gestation had a positive correlation with neonatal birth weight. Haemoglobin levels or maternal age didn’t show a significant impact on the neonatal birth weight. Anaemic mothers didn’t have a higher incidence of low birth weight babies.Conclusion: The most significant contributor to improved neonatal weight is the gestational age of the foetus. All efforts to ensure better neonatal outcome must primarily concentrate on prevention of preterm births. Maternal haemoglobin levels do not directly impact the neonatal birth weight. However, as anaemia is a risk factor for preterm delivery, anaemia indirectly impacts on the neonatal birth weight and outcome.

scholarly journals Correlation of gestational age assessed by last menstrual period and New Ballard’s Score in pre term babies

2020 ◽  
Vol 7 (8) ◽  
pp. 1718
Author(s):  
Krithika S. ◽  
Rajanish K. V. ◽  
Adarsh E.
Keyword(s):  
Gestational Age ◽  
Critical Factor ◽  
Menstrual Period ◽  
Last Menstrual Period ◽  
Normal Vaginal Delivery ◽  
Management Decision ◽  
New Born ◽  
Medical College ◽  
Management Decision Making ◽  
One Year

Background: Gestational age is a critical factor in the management, decision making and follow up of new born infants. Identification of gestational age especially within 48 hours of life is crucial for new born. Since decades attempts have been made to find an alternative measurement for gestational age and birth weight estimation of the newborns. Last menstrual period is an inexpensive method and potentially efficient for calculating gestational age. Objective of this study was to the present study aims to compare the gestational age by New Ballards score with LMP, in pre term babies.Methods: A total 150 pre term babies who are born to mothers remembering LMP were enrolled for the study group. During the study period new Ballard scoring was done for babies within 48hrs and Gestational age was compared with LMP. The collected data was analyzed by using SAS-6.50 version. Study design a prospective observational study was conducted over a period of one year from January 2018 till December 2018 at Rajarajeswari Medical College and Hospital, Bengaluru, IndiaResults: The New Ballard score is found to be significantly correlated with GA above 29 weeks (p<0.01). The LMP mean was 35±2.0 weeks. Total 60.6 % of the childbirth is lead to normal vaginal delivery. The analysis shows LMP were found to be strongly correlated with GA (p<0.01).Conclusions: LMP alone can be reliably used in assessing the gestational age and can be assessed more accurately and be confirmed with new Ballard’s scoring for preterm babies of >29 weeks.

scholarly journals Prevalence and Analysis of Inborn Birth Defects in A Tertiary Level Hospital in Bangladesh

2019 ◽  
Vol 3 (5) ◽  
Keyword(s):  
Risk Factors ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Congenital Malformation ◽  
Live Birth ◽  
Birth Defects ◽  
Gestational Age ◽  
Still Birth ◽  
New Born ◽  
Icd 10

Objective: To assess the prevalence of congenital defects and to investigate the maternal and perinatal aspects in relation to the detailed ICD-10 coding of each individual case using The New Born Data base NBBD data collection system under Global surveillance in collaboration with Center for Disease Control CDC, Atlanta and All India Institute of Medical Science AIMS, New Delhi and Bangabandhu Sheikh Mujib Medical University BSMMU as the Focal point of investigation. Methods: All births and terminations of pregnancy beyond 24 weeks with structural and sonographically detectable birth defects from October,2014 to October, 2018 in the Department of Obstetrics and Gynaecology of Bangladesh Medical College and Hospital were carefully scrutinized and detailed information regarding the maternal and associated clinical risk factors were compiled using the NBBD (New Born Birth Defects) surveillance system. Among that period all births (Live birth and still birth) were counted to have a prevalence data of birth defects using the total number of births as the denominator and the number of birth defects as the numerator. Results: The prevalence of detectable birth defects among the 2002 total births (which includes 110 still births) was found to be 4.34% (87/2002 x 100). According to birth defect category using the ICD-10 coding system, 11 broad categories were found. Musculoskeletal deformities Q65-Q79 were the highest (25/87), followed by congenital malformation of the nervous system Q00-Q07(15/87) and congenital malformation of eye, ear, face and neck Q10-Q18(14/87). The birth defects were categorized as isolated, syndrome and sequence; among the 87 cases, 44 were isolated defects, 40 were syndromic / multiple birth defects and 3 were result of Potter sequence. Regarding maternal variables, maternal age<18 years was 23.4%, 18-25 years was 48.93% ,26-33 years was 23.4% and ≥ 34 years was 6.4%; father’s age < 35 yearswas 74.5% and ≥ 35 years 25.5%%, parental consanguinity was present in 4.3% of case. Analyzing the variables relating to labour conditions, majority of pregnancies were singletons 95.7% leaving only 4.3% of pregnancies being Twin pregnancies. Reviewing babies according to gestational age, 69 (73.4%%) of babies were less than 34 weeks and 26.6% remaining were equal to/more than 34 weeks of gestation reflecting a higher frequency of prematurity or pre-term delivery either induced or spontaneous onset. Regarding the mode of delivery, vaginal birth was conducted in approximately 74% of cases and C-Section was performed in remaining cases, the indication of C-section was guided by obstetric causes such as previous C-section and maternal desire for an elective abdominal delivery. Results of the foetal variables by sex distribution showed a significant male predominance (51/87) 51 male, 26 female and 10 ambiguous. Reviewing babies according to gestational age, 64 (73.4%%) of babies were less than 34 weeks and 26.6% remaining were more than 34 weeks of gestation reflecting a higher frequency of prematurity. The studied foetal variable as categorized by weight, as ≤1500gm (extreme low birth weight ELBW) was 23.4%, 1501-2499gm (Low birth weight LBW) was 50% and ≥2500g (Average birth weight) was 26.6 %. The studied foetal variable as categorized by percentage of babies that were born live birth was 87%, 17 % were stillbirth: a significant portion of those terminated late were found macerated. Data was also compiled regarding the following risk factors: Previous history of birth defects/ previous still birth/ previous spontaneous abortions/ terminations for birth defects which did not reveal significant differences. Conclusion: The study notified only the most visible defects in most cases. However, the study is part of an ongoing surveillance program which has incited much alertness among the participants regarding documentation. The prevalence records and the type of defects may help in the expansion of these programs for the development of future preventive strategies.

scholarly journals Decline with Age in the Rate of Reduction of Progesterone to 20a-Hydroxypregn-4-en-3-one in the Blood of Perinatal Ruminants

1983 ◽  
Vol 36 (2) ◽  
pp. 183 ◽  
Author(s):  
CD Nancarrow
Keyword(s):  
Longitudinal Studies ◽  
Dehydrogenase Activity ◽  
Gestational Age ◽  
Hydroxysteroid Dehydrogenase ◽  
Adult Type ◽  
Sheep Blood ◽  
New Born ◽  
Final Volume ◽  
O 43

The activity of the enzyme 20IX-hydroxysteroid dehydrogenase present in erythrocytes of foetal and new-born ruminants has been determined by incubating 0�1 ml blood with 0�16,umol [4_'4C]_ progesterone for 15 min at 39�C in a final volume of 2 ml buffered saline. It was found that the activity, measured as ,umol 20IX-hydroxypregn-4-en-3-one produced from progesterone per millilitre of erythrocytes per hour, declined from levels at birth as high as 1'50,umol for sheep, 0'50,umol for goats and O' 43 ,umol for cattle to levels of around 0'11, O' 08 and O' 04 ,umol respectively by 30-60 days of age. This decline in activity was also apparent in blood taken from sheep foetuses in which longitudinal studies were possible and appeared to have begun prior to 35 days before term. The highest activity obtained was 2� 59 ,umol for foetal sheep blood taken at 115 days of gestation. It is suggested that the observed decline in 20IX-hydroxysteroid dehydrogenase activity is a function of the replacement of foetal erythrocytes with adult-type erythrocytes which begins around 120 days of gestational age and that the role of the enzyme is to maintain an appropriate progestational environment within the foetoplacental unit.

The variation with gestational age of the rheological properties of the blood of the new-born

1994 ◽  
Vol 86 (1) ◽  
pp. 163-168 ◽  
Author(s):  
M. A. Anwar ◽  
M. W. Rampling ◽  
S. Bignall ◽  
R. P. A. Rivers
Keyword(s):  
Rheological Properties ◽  
Gestational Age ◽  
New Born

scholarly journals Study of correlation between gestational age and new-born foot length and chest circumference

2018 ◽  
Vol 5 (5) ◽  
pp. 1875 ◽  
Author(s):  
Aayush Gupta ◽  
Gunjan Kela Mehrotra ◽  
Swati Mulye
Keyword(s):  
Birth Weight ◽  
Mortality Rate ◽  
Neonatal Mortality ◽  
Child Mortality ◽  
Gestational Age ◽  
Chest Circumference ◽  
P Value ◽  
Positive Correlation ◽  
New Born ◽  
Foot Length

Background: Globally, in 2015, 1 million children died on first day of their life. The neonatal mortality rate is declining less rapidly than the mortality rate for children between 1month and 5 years of age. Thus, contribution of the neonatal mortality to the under-five deaths is increasing. Usually as average income of a country increases, it leads to decline in child mortality yet some countries in the fast lane for global economic growth such as India have been in the slower lane for child mortality reduction.Methods: This study was conducted at Sri Aurobindo Medical College and PG Institute, Indore from October 2015 to March 2017 for period of 18 months. Total of 800 live new-borns were included in this study by simple random technique. The statistical analysis of data was done using SPSS for Windows (Version 20.0) software. The correlation of gestational age with new-born foot length and new-born chest circumference was analysed by applying correlation and regression analysis.Results: Foot length is significantly correlated with both gestational age and birth weight with p value of < 0.05 and highly positive correlation coefficient. Chest circumference is significantly correlated with both gestational age and birth weight with p value of < 0.05 and highly positive correlation coefficient.Conclusions: This study tried to identify anthropometric parameter (foot length and chest circumference) which allows for rapid evaluation of the infant for gestational age and provide at risk infants with timely care.

scholarly journals Etiology and frequency of respiratory distress in neonates: A cross sectional study conducted in tertiary care hospital, Lahore.

2019 ◽  
Vol 26 (11) ◽  
pp. 1815-1819
Author(s):  
Mirza Liaqat Ali ◽  
Naila Jabbar ◽  
Abdul Hannan ◽  
Azher
Keyword(s):  
Respiratory Distress ◽  
Gestational Age ◽  
Tertiary Care ◽  
Birth Asphyxia ◽  
Cross Sectional Study ◽  
Meconium Aspiration Syndrome ◽  
Care Hospital ◽  
Cross Sectional ◽  
Meconium Aspiration ◽  
New Born

Respiratory distress in neonate defines as when rate of respiration is greater than sixty in one minute, nasal flaring, grunting and intercostal / sub coastal recession is present. Various causes are reported of respiratory distress in new born. Objectives: To determine frequency of respiratory distress in new born and to Find frequency of various etiologies of respiratory distress in full term newborn admitted up to the age of 24 hours of birth in Study Design: Cross sectional studies. Setting: Neonatal unit of Jinnah Hospital Lahore. Period: From February 10, 2016 till August 10, 2016. Material and Method: SPSS v-20 was used for analysis of data like name, age, sex, gestational age, maternal record of pregnancy and fetus for etiologies of respiratory distress. Results: There were 100(66.7%) male and 50(33.3%) females in this study. The mean gestational age of these newborn was 39.51±1.51 weeks. Respiratory distress was seen in 16(10.7%) of the cases. Transient tachypnea seen in 4(25%) of the cases, Meconium aspiration syndrome was diagnosed in 2(12.5%), Pneumothorax in 3(18.8%), Congenital pneumonia in 2 (12.5%), Sepsis in 6(37.5%) and Birth asphyxia 2 (12.5%) of early neonatal age were the common observed causes. Conclusion: Respiratory distress was 1/10 of the cases. The commonest etiologies were Sepsis preceding to Respiratory distress syndrome, MAS (Meconium Aspiration Syndrome), TTN (Transient Tacyhpnea of Newborn), Pneumothorax, Congenital pneumonia, Birth asphyxia.

scholarly journals Machine learning guided postnatal gestational age assessment using new-born screening metabolomic data in South Asia and sub-Saharan Africa

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sunil Sazawal ◽  
Kelli K. Ryckman ◽  
Sayan Das ◽  
Rasheda Khanam ◽  
Imran Nisar ◽  
...  
Keyword(s):  
Machine Learning ◽  
Birth Weight ◽  
Gestational Age ◽  
Roc Analysis ◽  
Learning Algorithms ◽  
Population Level ◽  
Machine Learning Algorithms ◽  
Sub Saharan Africa ◽  
Age Dating ◽  
New Born

Abstract Background Babies born early and/or small for gestational age in Low and Middle-income countries (LMICs) contribute substantially to global neonatal and infant mortality. Tracking this metric is critical at a population level for informed policy, advocacy, resources allocation and program evaluation and at an individual level for targeted care. Early prenatal ultrasound examination is not available in these settings, gestational age (GA) is estimated using new-born assessment, last menstrual period (LMP) recalls and birth weight, which are unreliable. Algorithms in developed settings, using metabolic screen data, provided GA estimates within 1–2 weeks of ultrasonography-based GA. We sought to leverage machine learning algorithms to improve accuracy and applicability of this approach to LMICs settings. Methods This study uses data from AMANHI-ACT, a prospective pregnancy cohorts in Asia and Africa where early pregnancy ultrasonography estimated GA and birth weight are available and metabolite screening data in a subset of 1318 new-borns were also available. We utilized this opportunity to develop machine learning (ML) algorithms. Random Forest Regressor was used where data was randomly split into model-building and model-testing dataset. Mean absolute error (MAE) and root mean square error (RMSE) were used to evaluate performance. Bootstrap procedures were used to estimate confidence intervals (CI) for RMSE and MAE. For pre-term birth identification ROC analysis with bootstrap and exact estimation of CI for area under curve (AUC) were performed. Results Overall model estimated GA had MAE of 5.2 days (95% CI 4.6–6.8), which was similar to performance in SGA, MAE 5.3 days (95% CI 4.6–6.2). GA was correctly estimated to within 1 week for 85.21% (95% CI 72.31–94.65). For preterm birth classification, AUC in ROC analysis was 98.1% (95% CI 96.0–99.0; p < 0.001). This model performed better than Iowa regression, AUC Difference 14.4% (95% CI 5–23.7; p = 0.002). Conclusions Machine learning algorithms and models applied to metabolomic gestational age dating offer a ladder of opportunity for providing accurate population-level gestational age estimates in LMICs settings. These findings also point to an opportunity for investigation of region-specific models, more focused feasible analyte models, and broad untargeted metabolome investigation.

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