scholarly journals Magnitude of Low Birth Weight and Associated Factors among Newborns Delivered in Dangla Primary Hospital, Amhara Regional State, Northwest Ethiopia, 2017

2019 ◽  
Vol 2019 ◽  
pp. 1-6 ◽  
Author(s):  
Asmare Talie ◽  
Mekuanint Taddele ◽  
Mulunesh Alemayehu
Keyword(s):  
Logistic Regression ◽  
Birth Weight ◽  
Food Intake ◽  
Low Birth Weight ◽  
Associated Factors ◽  
Previous History ◽  
P Value ◽  
Future Health ◽  
Additional Food ◽  
Primary Hospital

Background. Low birth weight is defined as a live born infant weighs less than 2 500 g regardless of gestational age. Globally, the prevalence of low birth weight ranges from 3% to 15%. Birth weight plays an important role in infant mortality, morbidity, development, and future health. The prevalence of low birth weight in Ethiopia was estimated to be 14% which is one of the highest percentages in the world. So, the aim of this study is to assess magnitude and associated factors of low birth weight among newborns delivered at Dangla Primary Hospital, Amhara Region, Ethiopia. Methods. An institution-based cross-sectional study was conducted at Dangla Primary Hospital from September 27 to June 10, 2017. Systematic random sampling technique was used to select the 232 study participants. A structured and pretested questionnaire was used to collect data. Data quality was assured by pretesting, training, and frequent supervision. Descriptive statistics were performed for the descriptive part of the study. Binary and multiple logistic regression analyses were conducted to identify independent predictors of low birth weight. Those variables and p-value < 0.25 were included in the multivariable logistic regression for controlling the possible effect of confounders. Finally, variables which had significant association were identified on the basis of AOR, with 95%CI and with P-value <0.05. Results. Magnitude of low birth weight was 10.3 %. Previous history of low birth weight [AOR = 3.2, 95% CI: (1.13-9.9)], additional food intake during the last pregnancy [AOR = 5.0, 95% CI: (1.2-16.2)], and preterm delivery [AOR = 2.1, 95% CI: (3.1-19.2)] were independent predictors of low birth weight. Conclusion. Magnitude of low birth weight in Dangla Primary Hospital was high. So, strengthening counseling systems for women through quality antenatal care on advantage of additional food intake and previous bad obstetric outcome is necessary to alleviate the delivery of low birth weight neonates in the study area.

scholarly journals Clinical profile and factors determining outcome of intramural very low birth weight babies in a tertiary care centre: a retrospective study

2017 ◽  
Vol 5 (2) ◽  
pp. 520
Author(s):  
Devi Meenakshi K. ◽  
Arasar Seeralar A. T. ◽  
Srinivasan Padmanaban
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Logistic Regression Analysis ◽  
Very Low Birth Weight ◽  
Tertiary Care ◽  
P Value ◽  
Increased Risk

Background: Very low birth weight (VLBW) babies are at increased risk of a number of complications both immediate and late. Worldwide it has been observed that these babies contribute to a significant extent to neonatal mortality and morbidity. Aim of the study was to study the risk factors contributing to mortality in VLBW babies and to evaluate the morbidity pattern in these infants.Methods: A retrospective analysis of data retrieved from the case records of VLBW babies admitted in the NICU of Kilpauk Medical College between January 2015 to December 2015. Out of the 2360 intramural babies admitted during the study period, 99 babies were less than 1500 gms. The risk factors for these babies were analyzed for their association with the outcome. Data were statistically analyzed.Results: In present study, we found that sex of the baby, gestational age, obstetric score, birth asphyxia, pulmonary haemorrhage, ROP and presence of shock were found to be associated with increased mortality. By logistic regression analysis it was observed that birth weight of the baby (p value 0.002), duration of stay (p value 0.0006), presence of shock (p<0.0001), were the risk factors significantly associated with poor outcome.Conclusions: Among the maternal and neonatal factors analyzed in the study using logistic regression analysis, birth weight, duration of hospital stay and presence of shock were significantly related to poor outcome. Of these presence of shock was the single most important factor that predicted increased mortality.

scholarly journals Stunting at birth and associated factors among newborns delivered at the University of Gondar Comprehensive Specialized Referral Hospital

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0245528
Author(s):  
Almaz Tefera Gonete ◽  
Bogale Kassahun ◽  
Eskedar Getie Mekonnen ◽  
Wubet Worku Takele
Keyword(s):  
Logistic Regression ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Short Stature ◽  
Odds Ratio ◽  
Associated Factors ◽  
Adjusted Odds Ratio ◽  
Referral Hospital ◽  
Factors Associated ◽  
The University

Background Stunting at birth is a chronic form of undernutrition majorly attributable to poor prenatal nutrition, which could persist in children’s later life and impact their physical and cognitive health. Although multiple studies have been conducted in Ethiopia to show the magnitude of stunting and factors, all are concentrated on children aged between 6 to 59 months. Therefore, this study was done to determine the prevalence and associated factors of stunting at birth among newborns delivered at the University of Gondar Comprehensive Specialized Referral Hospital, Northwest, Ethiopia. Methods An institution-based cross-sectional study was conducted from February 26th to April 25th/2020. A systematic random sampling technique was used, to select a total of 422 newborn-mother pairs. The binary logistic regression was employed to identify factors associated with stunting and all independent variables were entered into the multivariable logistic regression model to adjust for confounders. Variables that had significant association were identified based on p-value < 0.05 and the adjusted odds ratio with its respective 95% confidence interval was applied to determine the strength as well as the direction of the association. Results About 30.5% (95% CI: 26.3%, 35.1%) of newborns were stunted at birth. Being male [Adjusted odds ratio (AOR) = 2.9(1.62, 5.21)], newborns conceived in Kiremt(rainy season) [AOR = 2.7(1.49, 4.97)], being low birth weight [AOR = 3.1(1.64, 6.06)] were factors associated with stunting at birth. Likewise, newborns born to short stature mothers [AOR = 2.8(1.21, 6.62)] and chronically malnourished mothers [AOR = 15.3(8.12, 29.1)] were at greater risk of being stunted. Conclusion Just under a third of newborns are stunted at birth, implying a pressing public health problem. Newborns born to chronically malnourished and short stature mothers were more stunted. Besides, stunting was prevalently observed among male neonates, newborns conceived in Kiremet, and being low birth weight. Thus, policymakers and nutrition programmers should work on preventing maternal undernutrition through nutrition education to reduce the burden of low birth weight and stunting. Further, paying due attention to newborns conceived in Kiremet season to improve nutritional status is recommended.

scholarly journals The Prevalence and Associated Factors of Neonatal Hypothermia within Six Hours of Birth among Newborns in Pokhara

2020 ◽  
Vol 2 (2) ◽  
pp. 1150-120
Author(s):  
Rita Adhikari ◽  
Radhika Regmi ◽  
Babita Subedi
Keyword(s):  
Logistic Regression ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Antenatal Care ◽  
Associated Factors ◽  
Multivariate Logistic Regression Analysis ◽  
Pulmonary Hemorrhage ◽  
Bivariate Analysis ◽  
Multivariate Logistic Regression ◽  
Neonatal Hypothermia

Background: Hypothermia is an important cause of neonatal morbidity and mortality. Persistent hypothermia leads to cold injury that results edema, scleroderma, pulmonary hemorrhage, jaundice and death. The objective of this study was to identify the prevalence and associated factors of neonatal hypothermia among newborns within six hours of Birth in Pokhara. Methods: The institutional based quantitative descriptive cross sectional study was done among 402 systematic randomly selected respondents by using structured format and digital thermometer MT 100 after taking ethical approval from Nepal Health Research Council and Pokhara Academy of Health Sciences. Data was analyzed by using SPSS version 20. Multivariate logistic regression analysis was done for the variables (p<0.25) in bivariate analysis. The variables (p< 0.05) with Adjusted Odds ratio (AOR) at 95% CI in the multivariate logistic regression was considered as independent associated variables. Results: The prevalence of neonatal hypothermia in the study area was about 43 percent. The significant independent factors of neonatal hypothermia were maternal age after 35 years (p=0.03, AOR: 4.087, 95% CI: 1.12-14.97), inadequate antenatal care (p=0.03, AOR: 0.52, 95% CI: 0.29-0.94), low birth weight (p=0.00, AOR: 0.433, 95% CI: 0.24- 0.77) and resuscitated babies at birth (p =0.00, AOR: 3.808)95% CI: 1.69- 4.65). Conclusion: Out of 10 births, four babies were hypothermic in study site. Mother’s age more than 35 years, inadequate antenatal care, low birth weight and resuscitation at birth were associated factors of Neonatal hypothermia. So, special care is necessary for low birth weight babies and during resuscitation.

scholarly journals Determinant Analysis of Low Birth Weight among Young Pregnant Women in Blitar District

2020 ◽  
Vol 4 (1) ◽  
pp. 86-91
Author(s):  
Etti Suryani ◽  
Yuly Peristiowati ◽  
Yenny Puspitasari
Keyword(s):  
Logistic Regression ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Antenatal Care ◽  
Pregnant Women ◽  
Binary Logistic Regression ◽  
P Value ◽  
Routine Antenatal Care ◽  
Determinant Analysis ◽  
Cluster Random Sampling

Background : Low birth weight, commonly called LBW, is a major cause of infant mortality in Indonesia whereas its prevalence tends to increase from year to year. Purpose: This study aimed to analyze the determinants of gravida status, routine antenatal care, and comorbidities in LBW among young pregnant women in Blitar. Method : The research design was case-control using proportional cluster random sampling with a sample of 223 respondents. The data were analyzed with the binary logistic regression. Results : The results showed 214 respondents (96%) were primigravida, 23 respondents (10.3%) were not attended antenatal care routinely, 66 respondents (30%) had comorbidity, and 20 respondents (9%) delivered LBW baby. The statistical analysis of logistic regression showed there was no influence from gravida status and comorbidities, and routine antenatal care indicateda p-value of 0.000 which meant it was determined LBW among <20 years old pregnant women in Blitar. The interpretation of odd value was the group of < 20 years old pregnant women who were not attended routine ANC had a risk of 10 times to deliver LBW baby compared to the group of < 20 years old pregnant women who attended routine ANC. Conclusion : This study concluded that routine antennal care might prevent LBW for young pregnant women

scholarly journals Spatiotemporal association of low birth weight with Cs-137 deposition after Fukushima at the prefecture level in Japan: an ecological study

2020 ◽  
Author(s):  
Hagen Scherb ◽  
Japan Hayashi Osaka Keiji Hayashi Children's Clinic
Keyword(s):  
Logistic Regression ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Dose Rate ◽  
Pregnancy Outcome ◽  
P Value ◽  
Dependent Manner ◽  
Additional Dose ◽  
Spatiotemporal Trends ◽  
Level Shifts

Abstract Background: Perinatal mortality increased in contaminated prefectures after the Fukushima Daichi Nuclear Power Plant (FDNPP) accidents in Japan in 2011. Elevated numbers of surgeries for cryptorchidism and congenital heart malformations were observed throughout Japan from 2012 onward. The thyroid cancer detection rate (2011 to 2016) was associated with the dose-rate at the municipality level in the Fukushima prefecture. Since the birth weight is a simple and objective indicator for gestational development and pregnancy outcome, the question arises whether the annual birth weight distribution was distorted in a dose-rate-dependent manner across Japan after Fukushima. Data and Methods: The Japanese Ministry of Health, Labour, and Welfare provides prefecture-specific annual counts for 26.158 million live births from 1995 to 2018, of which 2.366 million births (9.04%) with weights < 2500g. Prefecture-specific spatiotemporal trends of the low birth weight proportions were analyzed. Logistic regression allowing for level-shifts from 2012 onward was employed to test whether those level-shifts were proportional to the prefecture-specific dose-rates derived from Cs-137 deposition in the 47 Japanese prefectures. Results: The overall trend of the low birth weight proportion (LBWp) in Japan discloses a jump in 2012 with a jump odds ratio (OR) 1.020, 95%-confidence interval (1.003,1.037), p-value 0.0225. A logistic regression of LBWp on the additional dose-rate after Fukushima adjusted for prefecture-specific spatiotemporal base-line trends yields an OR per µSv/h of 1.098 (1.058, 1.139), p-value < 0.0001. Further adjusting the logistic regression for the annual population size and physician density of the prefectures, as well as for the counts of the dead, the missing, and the evacuees due to earthquake and tsunami (as surrogate measures for medical infrastructure and stress) yields an OR per µSv/h of 1.109 (1.032, 1.191), p-value 0.0046. Conclusion: This study shows increased low birth weight prevalence related to Cs-137 deposition and the corresponding additional dose-rate in Japan from 2012 onward. Previous evidence suggesting compromised gestational development and pregnancy outcome under elevated environmental ionizing radiation exposure is corroborated.

scholarly journals Spatiotemporal association of low birth weight with Cs-137 deposition at the prefecture level in Japan after the Fukushima nuclear power plant accidents: an analytical-ecologic epidemiological study

2020 ◽  
Author(s):  
Hagen Scherb ◽  
Japan Hayashi Osaka Keiji Hayashi Children's Clinic
Keyword(s):  
Logistic Regression ◽  
Birth Weight ◽  
Power Plant ◽  
Nuclear Power Plant ◽  
Low Birth Weight ◽  
Dose Rate ◽  
Nuclear Power ◽  
P Value ◽  
Additional Dose ◽  
Level Shifts

Abstract Background: Perinatal mortality increased in contaminated prefectures after the Fukushima Daichi Nuclear Power Plant (FDNPP) accidents in Japan in 2011. Elevated counts of surgeries for cryptorchidism and congenital heart malformations were observed throughout Japan from 2012 onward. The thyroid cancer detection rate (2011 to 2016) was associated with the dose-rate at the municipality level in the Fukushima prefecture. Since the birth weight is a simple and objective indicator for gestational development and pregnancy outcome, the question arises whether the annual birth weight distribution was distorted in a dose-rate-dependent manner across Japan after Fukushima. Methods: The Japanese Ministry of Health, Labour, and Welfare provides prefecture-specific annual counts for 26.158 million live births from 1995 to 2018, of which 2.366 million births (9.04%) with weights < 2500 g. Prefecture-specific spatiotemporal trends of the low birth weight proportions were analyzed. Logistic regression allowing for level-shifts from 2012 onward was employed to test whether those level-shifts were proportional to the prefecture-specific dose-rates derived from Cs-137 deposition in the 47 Japanese prefectures. Results: The overall trend of the low birth weight prevalence (LBWp) in Japan discloses a jump in 2012 with a jump odds ratio (OR) 1.020, 95%-confidence interval (1.003,1.037), p-value 0.0246. A logistic regression of LBWp on the additional dose-rate after the FDNPP accidents adjusted for prefecture-specific spatiotemporal base-line trends yields an OR per µSv/h of 1.098 (1.058, 1.139), p-value < 0.0001. Further adjusting the logistic regression for the annual population size and physician density of the prefectures, as well as for the counts of the dead, the missing, and the evacuees due to earthquake and tsunami (as surrogate measures for medical infrastructure and stress) yields an OR per µSv/h of 1.109 (1.032, 1.191), p-value 0.0046.Conclusions: This study shows increased low birth weight prevalence related to Cs-137 deposition and the corresponding additional dose-rate in Japan from 2012 onward. Previous evidence suggesting compromised gestational development and pregnancy outcome under elevated environmental ionizing radiation exposure is corroborated.

scholarly journals Spatiotemporal association of low birth weight with Cs-137 deposition at the prefecture level in Japan after the Fukushima nuclear power plant accidents: an analytical-ecologic epidemiological study

2020 ◽  
Author(s):  
Hagen Scherb ◽  
Japan Hayashi Osaka Keiji Hayashi Children's Clinic
Keyword(s):  
Logistic Regression ◽  
Birth Weight ◽  
Power Plant ◽  
Nuclear Power Plant ◽  
Low Birth Weight ◽  
Dose Rate ◽  
Nuclear Power ◽  
P Value ◽  
Additional Dose ◽  
Level Shifts

Abstract Background: Perinatal mortality increased in contaminated prefectures after the Fukushima Daichi Nuclear Power Plant (FDNPP) accidents in Japan in 2011. Elevated counts of surgeries for cryptorchidism and congenital heart malformations were observed throughout Japan from 2012 onward. The thyroid cancer detection rate (2011 to 2016) was associated with the dose-rate at the municipality level in the Fukushima prefecture. Since the birth weight is a simple and objective indicator for gestational development and pregnancy outcome, the question arises whether the annual birth weight distribution was distorted in a dose-rate-dependent manner across Japan after Fukushima. Methods: The Japanese Ministry of Health, Labour, and Welfare provides prefecture-specific annual counts for 26.158 million live births from 1995 to 2018, of which 2.366 million births (9.04%) with weights < 2500 g. Prefecture-specific spatiotemporal trends of the low birth weight proportions were analyzed. Logistic regression allowing for level-shifts from 2012 onward was employed to test whether those level-shifts were proportional to the prefecture-specific dose-rates derived from Cs-137 deposition in the 47 Japanese prefectures. Results: The overall trend of the low birth weight prevalence (LBWp) in Japan discloses a jump in 2012 with a jump odds ratio (OR) 1.020, 95%-confidence interval (1.003,1.037), p-value 0.0246. A logistic regression of LBWp on the additional dose-rate after the FDNPP accidents adjusted for prefecture-specific spatiotemporal base-line trends yields an OR per µSv/h of 1.098 (1.058, 1.139), p-value < 0.0001. Further adjusting the logistic regression for the annual population size and physician density of the prefectures, as well as for the counts of the dead, the missing, and the evacuees due to earthquake and tsunami (as surrogate measures for medical infrastructure and stress) yields an OR per µSv/h of 1.109 (1.032, 1.191), p-value 0.0046. Conclusions: This study shows increased low birth weight prevalence related to the Cs-137 deposition and the corresponding additional dose-rate in Japan from 2012 onward. Previous evidence suggesting compromised gestational development and pregnancy outcome under elevated environmental ionizing radiation exposure is corroborated.

scholarly journals Low Birthweight and its Associated Factors During the Era of COVID 19 at Assosa General Hospital, Western Ethiopia, 2020

2021 ◽  
Author(s):  
Melkamu Senbeta Jimma ◽  
Fisha Alebel GebreEyesus ◽  
Ermias Chanie ◽  
Demek Mesfin Belay ◽  
Habtamu Bekele ◽  
...  
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Antenatal Care ◽  
General Hospital ◽  
Associated Factors ◽  
Low Birthweight ◽  
Multivariate Logistic Regression Analysis ◽  
World Health ◽  
P Value

Abstract Introduction: Low birth weight (LBW) is birth weight less than 2.5 kg regardless of gestational age. The prevalence of low birth weight in developing countries is 16.5%. And it will help policy makers, health system planners, health care managers, and clinicians to perform evidence-based work and also help to contribute its own role to the achievement of World Health Organization goals by 2025. This study aims to assess low birth weight and its associated factors during the era of COVID 19 at Assosa General Hospital.Method: A hospital-based cross-sectional study was conducted from December 01, 2020 to February 01, 2021 at Assosa General Hospital. A total of 335 samples were selected. Allocation was performed using the systematic random sampling technique. Data were collected using a structured questionnaire through interview and chart reviewing. It’s checked for completeness and consistency. Then entered into Epi-Info and analyzed by using SPSS software version 22. First, descriptive analysis was carried out then, bivariate analysis was used to identify variables with p value of less than 0.25. Variables with p value < 0.25 were entered into multivariate logistic regression analysis was used and confounding effect was controlled. Finally, those variables with p-value < 0.05 were identified as significant determinants of LBW.Result: The response rate of this research was 100%. Based on this study, the prevalence of LBW was 11%. Variables like no antenatal care [(AOR = 9; 95% CI 1.2 –66)], fear of COVID19 is reason for Missed ANC follow up [(AOR = 9; 95% CI 1.2 –66)] and type of pregnancy [(AOR = 6.35; 95% CI 1.7 – 23)] were identified as significant factors for this study.Conclusion and Recommendations: The prevalence of LBW in the era of COVID 19 was 11%. The associated factors of low birth weight are no antenatal care visit (ANC) during pregnancy and pregnancy type. So, concerned bodies were recommended to do more and more on ANC follow-up.

scholarly journals A study of maternal factors influencing very low birth weight babies

2017 ◽  
Vol 4 (4) ◽  
pp. 1173 ◽  
Author(s):  
Mani Madhavan Sachithanantha Mooorthi ◽  
Balakrishnan Nadesan ◽  
Ezhilarasu Ramalingam ◽  
Sivaraman Thirumalaikumarasamy
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Birth Interval ◽  
Very Low Birth Weight ◽  
Previous History ◽  
P Value ◽  
Maternal Factors ◽  
Maternal Risk ◽  
Vlbw Infants ◽  
History Of

Background: Very low birth weight (VLBW) infants present one of the greatest medical and ethical challenges to the medical field. Although they represent a small percentage of overall birth and NICU admissions, VLBW infants are often the most critically ill and at the highest risk for mortality and long-term morbidity of any NICU patients. The present study was conducted with aim to find out the maternal risk factors related to VLBW of newborn.Methods: This prospective case control study was conducted in Govt. R.S.R.M Lying in Hospital, which is affiliated to Stanley Medical College, during the period from January 2005- December 2005. The data related to maternal and new born variables were collected and evaluated by using Chi square test. P value less than 0.05 was considered as statistically significant.Results: The incidence of VLBW newborns was found to be 2.08%. The most common cause of VLBW is preterm delivery (84%). Maternal factors like age, weight, parity, literacy, mid arm circumference, income, bad obstetric history of the mother and birth interval showed a significant association with the incidence of VLBW of the infants (P <0.05). Antenatal visits, maternal occupation and maternal disease had no significant (P >0.05) influence on the delivery of VLBW babies.Conclusions: In the present study, incidence of VLBW was associated with the maternal factors like age, parity, literacy, nutritional status, income, birth interval and previous history of bad obstetrics. Hence, the study concludes that pregnant women need to be careful of all these above factors so as to avoid VLBW babies. 

Discrepancy Analysis between Clinical Versus Ultrasound Estimated Fetal Weight and Actual Birth Weight at 3rd Trimester

2019 ◽  
Vol 11 (1) ◽  
pp. 32-38
Author(s):  
Naznin Rashid Shewly ◽  
Menoka Ferdous ◽  
Hasina Begum ◽  
Shahadat Hossain Khan ◽  
Sheema Rani Debee ◽  
...  
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Fetal Weight ◽  
P Value ◽  
Weight Estimation ◽  
Third Trimester ◽  
Mortality And Morbidity ◽  
Fetal Weight Estimation ◽  
Obstetric Management ◽  
Estimated Fetal Weight

Background: In obstetric management fetal weight estimation is an important consideration when planning the mode of delivery in our day to day practice. In Bangladesh low birth weight is a major public health problem & incidence is 38% - 58%. Neonatal mortality and morbidity also yet high. So accurate antenatal estimation of fetal weight is a good way to detect macrosomia or small for date baby. Thus to improve the pregnancy outcome and neonatal outcome decreasing various chance of neonatal mortality and morbidity antenatal fetal weight prediction is an invaluable parameter in some situation where to identify the at risk pregnancy for low birth weight become necessary. Reliable method for prenatal estimation of fetal weight two modalities have got popularity - Clinical estimation and another one is ultrasonic estimation. This study was designed to determine the accuracy of clinical versus ultrasound estimated fetal weight detecting the discrepancy with actual birth weight at third trimester. So that we can verify more reliable and accurate method. Objectives: To find out more accurate and reliable modality of fetal weight estimation in antenatal period during obstetric management planning. To compare clinical versus ultrasound estimated fetal weight & to determine discrepancy of both variable with actual birth weight. Method: This prospective, cross sectional analytical study was carried out in Dhaka Medical College Hospital from January 2006 to December 2006. By purposive sampling 100 pregnant women fulfilling inclusion criteria were included in my study in third trimester (29wks-40wks). In clinical weight estimation procedure SFH (Symphysio Fundal Height) was measured in centimeter. On pervaginal finding whether vertex below or above the ischial spine was determined. By Johnson’s formula fetal weight in grams was estimated. Then by ultrasound scan different biometric measurements were taken and finally by Hadlock’s formula fetal weight was estimated. Eventually actual birth weight was taken after birth by Globe Brand weighing machine. Accuracy of both modalities were compared and which one was more reliable predictor was determined by statistical analysis. Results: After data collection were analyzed by computer based software (SPSS). There was gradual and positive relationship between symphysiofundal height and estimated birth weight. Discrepancy between clinical and actual birth weight at third trimester was statistically significant – Paired Student’s ‘t’ test was done where p value was <0.001. Whereas discrepancy between sonographically estimated fetal weight with actual birth weight was not statistically significant (by paired ‘t’ test where p value was >0.05). That implies discrepancy between ultrasound estimated fetal weight and actual birth weight was significantly less than that of clinically estimated fetal weight. 14% clinically and 46% sonographically estimated fetal weight were observed within £ 5% of actual birth weight. 31% clinical and 42% sonographically estimates observed within 6% to 10% of actual birth weight and 55% clinical and 12% sonographically estimate were >10% of actual birth weight. That is about 88% sonographical versus 45% clinical estimates were within 10% of actual birth weight. Conclusion: There is no doubt about importance of fetal weight in many obstetric situations. Clinical decisions at times depends on fetal weight. Whether to use oxytocin, to use forceps or vacuum for delivery or extend of trial or ended by Caesarian section immediately or no scope of trial to be largely depend on fetal size and weight. So more accurate modality for antenatal fetal weight estimation has paramount importance. In my study sonographically estimated weight have more accuracy than that of clinical estimate in predicting actual birth weight. Sonographically estimated fetal weight is more reliable, accurate and reproducible rather than other modality. J Shaheed Suhrawardy Med Coll, June 2019, Vol.11(1); 32-38

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