scholarly journals A correlative study to evaluate the gestational age by sonological measurement of placental thickness in normal second and third trimester pregnancy

2017 ◽  
Vol 4 (6) ◽  
pp. 1638
Author(s):  
Sunil Pant ◽  
Sunita Dashottar
Keyword(s):  
Gestational Age ◽  
Linear Regression Analysis ◽  
Mean Value ◽  
Abdominal Circumference ◽  
Additional Parameter ◽  
Pearson’S Correlation ◽  
Biometric Parameters ◽  
Pearson's Correlation ◽  
The Mean ◽  
Placental Thickness

Background: The dating of the pregnancy starts well before the fertilization has occurred because the gestational age is calculated from the first day of the last menstrual period (LMP). Accurate knowledge of the Gestational Age (GA) is the key for the good antenatal care and successful deliveries of babies. Menstrual history can be unreliable or misleading at many times. There may be fallacy in the measurement of the fetal biometric parameters in estimating the gestational age in some situation. So, there is a need of another parameter for supplementing the gestational age estimation with minimal error. The aim of the study was to evaluate the placental thickness as a parameter for estimation of gestational age and also to assess the growth pattern of placenta with advancing gestational age.Methods: A total of 110 pregnant women who selected randomly from the antenatal clinics (between the gestational ages from 14 weeks to 40 weeks) who did not have any maternal or fetal complications. The biometric parameters: Biparietal Diameter (BPD), Head Circumference (HC), Abdominal Circumference (AC), Femur Length (FL) and the Placental thickness (PT) were measured by ultrasound machine LOGIQ P5 unit with a curvilinear 3.5 MHz transducer. Mean value of the placental thickness along with the standard deviation (SD) and 95% confidence interval were calculated for each gestational age from 14 weeks to 40 weeks. Pearson’s correlation analysis and linear regression analysis was done quantifying the relationship between the gestational age in weeks and the placental thickness in millimetres.Results: The mean values of placental thickness show a perfect positive relationship (increasing trend) with gestational age and the mean value of placental thickness almost correspond to the gestational age till 35 weeks of the gestational age and fall marginally from 36 weeks. Placental thickness showed positive and significant correlation with gestational age (P-value<0.001) and Pearson’s correlation coefficient (r) of 0.990.Conclusions: Placental thickness can be an additional parameter for estimation of the gestational age as it almost corresponds with the gestational age in second and third trimesters. Also, any abnormal placental thickness for the particular gestational age should raise the suspicion of underlying fetal or maternal disease condition which can cause an increased or decreased in the placental thickness and should be addressed in time.

Placental thickness: A Sonographic Indicator of Gestational Age in Normal Singleton Pregnancies

2020 ◽  
Vol 16 (3) ◽  
Author(s):  
Prabhat Basnet ◽  
Riddhi Adhikary
Keyword(s):  
Umbilical Cord ◽  
Gestational Age ◽  
Medical Science ◽  
Abdominal Circumference ◽  
Antenatal Visit ◽  
Additional Parameter ◽  
Crown Rump Length ◽  
The Relationship ◽  
Placental Thickness ◽  
Singleton Pregnancies

Background: Presently the most effective way to date pregnancy is by use of ultrasound. Several sonographically derived fetal parameters used to date pregnancy include fetal crown - rump length (CRL), biparietal diameter (BPD), head circumference (HC), femur length (FL),and abdominal circumference (AC). Placental thickness measured at the level of the umbilical cord insertion can be used as a new parameter to estimate gestational age of the fetus. The present study was undertaken to evaluate the relationship between placental thickness and gestational age of the fetus. Methods:  Cross-sectional study was conducted in the College of Medical Science and Teaching Hospital, Bharatpur, Nepal among 150 patients with normal singleton pregnancies presenting for routine antenatal visit of all gestational ages from 11 weeks to 40 weeks. Patients with pregnancy induced hypertension, diabetes mellitus, intrauterine growth retardation, hydrops foetalis, congenital malformation and twins are excluded. Placental thickness value, in mm, was calculated by averaging the three best measurements for each case. We studied the relationship of placental thickness, in mm, measured at the level of insertion of umbilical cord with advancing gestational age in weeks. Correlation of mean placental thickness with gestational age from 11 weeks to 40 weeks was calculated. Results: It was observed that the placental thickness gradually increased from approximately 11 mm at 11 weeks to 38.33 mm at 40 weeks of gestation. From 11 to 34 weeks of gestation, the placental thickness (in mm) almost matched the gestational age in weeks, thereafter from 35 to 40 weeks; the placental thickness was lower by 1 to 2 mm. Conclusion: The relationship between the placental thickness and gestational age was linear and direct. Placental thickness (in mm) measurement can be an important additional parameter for estimating gestational age along with other parameters especially from 11 to 34 weeks of gestation.  

scholarly journals PLACENTAL THICKNESS AND ITS CORRELATION TO GESTATIONAL AGE ESTIMATED BY FOETAL GROWTH PARAMETERS-A CROSS SECTIONAL ULTRASONOGRAPHIC STUDY

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
M Ahmad ◽  
MN Anjum ◽  
M Asif ◽  
S Ayub ◽  
A Muzaffar ◽  
...  
Keyword(s):  
Gestational Age ◽  
Growth Parameters ◽  
P Value ◽  
Strongly Correlated ◽  
Cross Sectional ◽  
Pearson’S Correlation ◽  
Chorionic Villi ◽  
Fetal Organ ◽  
Pearson's Correlation ◽  
Placental Thickness

The placenta is a meterno-fetal organ and starts developing on the 5th week from chorionic villi at the implantation site. The placenta continues to increase in thickness and hence its thickness can be used to indicate the gestational age when the last menstruation date is not confirmed. The purpose of the study was to find out the correlation of placental thickness to the gestational age estimated by growth parameters of the fetus. The study was a cross-sectional analytical study conducted on 2000 participants. The study was conducted in the Department of Radiology Social Security Hospital, Multan Chungi Lahore. The inclusion-exclusion criteria were established and participants were observed using a Toshiba ultrasonography machine. The subjects were placed supine and placental thickness was measured to the accuracy of 1mm. Pearson’s correlation was applied to find out the correlation between placental thickness and gestational age of the participants. The mean age of the participants was 28.37  +  4.6. The youngest participant was age 18 and the eldest participant was age 40. The gestational age of the participants included ranged between 12th week to 40th week. Pearson’s correlation score indicated that the correlation value 0.896. Which indicated that the placental thickness and gestational age were strongly correlated? The P-value < 0.05 indicated that the results were significant. The study concluded a strong correlation between gestational age and placental thickness of the fetus. The thickness of the placenta increased with an increase in gestational age and hence could be used as a predictor and a parameter of gestational age prediction when the last menstruation is uncertain or is unknown.

scholarly journals Prenatal Prediction of Difficult Intubation in Periviable Neonates Using Standard Fetal Biometric Parameters

2018 ◽  
Vol 36 (06) ◽  
pp. 594-599 ◽  
Author(s):  
Tara Lynch ◽  
J. Glantz ◽  
Kathryn Drennan
Keyword(s):  
Birth Weight ◽  
Gestational Age ◽  
Fetal Weight ◽  
Abdominal Circumference ◽  
Intubation Difficulty ◽  
Biometric Parameters ◽  
Neonatal Birth Weight ◽  
Biparietal Diameter ◽  
The Mean ◽  
Estimated Fetal Weight

Objective To assess whether standard fetal biometric parameters can be used to predict difficult intubations in periviable neonates undergoing resuscitation. Study Design This is a retrospective case–control study of periviable neonates delivered at 23 to 256/7 weeks at an academic hospital during a 5-year period in whom intubation was attempted. Standard fetal biometric measurements were included if they were taken within 7 days of delivery. Primary outcome was intubation in one attempt and was compared with more than one attempt. Data were also collected for fetal gestational age at delivery, neonatal birth weight, estimated fetal weight, head circumference, biparietal diameter, and abdominal circumference. Parametric and nonparametric statistical tests used p < 0.05 as significant. Results In total, 93 neonates met the inclusion criteria. The mean estimated fetal weight was 675 g (standard deviation [SD] ± 140), and the mean neonatal birth weight was 706 g (SD ± 151). The median interval between fetal ultrasound and delivery was 3 days (range: 0–7 days). A total of 45 neonates (48.3%) required more than one intubation attempt. The median number of intubation attempts was 1 (range: 1–10). There was no association between intubation difficulty and fetal abdominal circumference, biparietal diameter, head circumference, gestational age, estimated fetal weight, and neonatal birth weight (all p > 0.05). Conclusion Standard biometry in periviable neonates does not predict intubation difficulty.

scholarly journals Placental thickness: an important parameter in determining gestational age and fetal growth during ANC scan

2018 ◽  
Vol 7 (11) ◽  
pp. 4619
Author(s):  
Dipali Kadam ◽  
Saurabh Patil ◽  
Meenal Jain
Keyword(s):  
Gestational Age ◽  
Abdominal Circumference ◽  
P Value ◽  
Third Trimester ◽  
Cross Sectional ◽  
Femur Length ◽  
Biparietal Diameter ◽  
Antenatal Sonography ◽  
Umbilical Cord Insertion ◽  
Placental Thickness

Background: Gestational Age (GA) is one of the most imperative parameters required for proper management in pregnancy. Routinely GA is estimated by sonography utilising Biparietal Diameter (BPD), Femur Length (FL), Abdominal Circumference (AC) and Head Circumference (HC). In any case, these parameters have some limitations. Hence, there is need to find other parameters that may complement the established fetal biometric parameters in predicting GA. The objective of the present study was to assess placental thickness in second and third trimester pregnancies and its relationship with fetal gestational age and its role in detecting LBW and IUGRMethods: A cross sectional prospective study was carried out in three hundred pregnant women between 13 to 40 weeks of gestation, who came for routine antenatal sonography. Placental thickness was measured along with routine parameters. Placental thickness was measured at the level of umbilical cord insertion by two-dimensional ultrasonography.Results: Correlation between the GA by LMP and Placental thickness by ultrasound was done by using Karl Pearson's Correlation(r). The values were expressed as mean + standard deviation. Correlation between placental thickness and gestational age was statistically significant as p value is <0.01. Placental thickness measured in millimetres increases with gestational age in second and third trimester.Conclusions: The correlation between the placental thickness and gestational age was linear and direct. Therefore, Placental thickness is used as a predictor for estimation of gestational age of the fetus in cases where LMP is not known and in detecting developing IUGR and low birth weight.

scholarly journals A Sonographic Study on Estimating of Gestational Age by Placental Thickness

2020 ◽  
Vol 8 (1) ◽  
pp. 110-113
Author(s):  
Prashanth G Patil ◽  
KM Nataraj ◽  
Shaik Hussain Saheb
Keyword(s):  
Correlation Coefficient ◽  
Gestational Age ◽  
Ultrasound Examination ◽  
Prediction Interval ◽  
Good Alternative ◽  
Third Trimester ◽  
Biometric Parameters ◽  
Relationship Of ◽  
The Relationship ◽  
Placental Thickness

Background: Knowledge of gestational age (GA) is important because it affects clinical management in many ways. Ultrasonography has provided a safe and noninvasive means of dating a pregnancy. The purpose of the present study is to assess the relationship of placental thickness with gestational age and to compare it with other sonographic parameters used to estimate gestational age. Subjects and Methods: The study included 242 normal pregnant women who knew their last menstrual period (LMP). After taking consent, all the women underwent an ultrasound examination. During the scan, besides measuring routine biometric parameters, Placental thickness at the cord insertion was also measured. A retrospective study was designated to test the hypothesis that placental thickness in an age dependant variable and hence can predict gestational age. In the end, the predicted gestational age by placental thickness was compared with gestational age as determined by other sonographic parameters. Results: Placental thickness showed a linear progression in relation to the menstrual age. The correlation coefficient was found to be 0.86(p<0.001). The regression equation was formulated by regressing gestational age on the measured placental thickness. The correlation coefficient between GA-LMP and GA-USG was 0.92 as compared to 0.86 between GA-LMP and GA-PT. The standard error for other USG parameters was +2.32 compared to +2.96 for placental thickness. Conclusion: Placental thickness being a fusion of menstrual age, can be used to predict the gestational age by using the regression formula. Gestational age calculated by other USG parameters is closer to menstrual age as compared to that by placental thickness. The prediction interval was slightly more when the placental thickness was used instead of other USG parameters. Placental thickness is a good alternative parameter for predicting gestational age in the second and third trimester.

scholarly journals Placental thickness in third trimester and its correlation to gestational age and fetal weight in primigravida

2020 ◽  
Vol 8 (3) ◽  
pp. 131-135
Author(s):  
Muna Badu ◽  
Shankar Bahadur Singh Rajbhandari ◽  
Pashupati Regmi
Keyword(s):  
Gestational Age ◽  
Pearson Correlation ◽  
College Teaching ◽  
Accurate Method ◽  
Fetal Weight ◽  
P Value ◽  
Additional Parameter ◽  
Third Trimester ◽  
Cross Sectional ◽  
Placental Thickness

Background: Gestational age and fetal weight estimation by ultrasound is the most effective and accurate method to date pregnancy. Ultrasound has been used to characterize placental position and morphologic changes. Placental thickness could be one additional parameter to assess gestational age and fetal weight. Objectives: This study aims to investigate the relationship between placental thickness with gestational age and fetal weight in third trimester of pregnancy in primigravida. Methodology: Prospective hospital based cross sectional study was conducted including 111 primigravida in third trimester with normal singleton pregnancies in Department of Radiology of Kathmandu Medical College Teaching Hospital from November 2018 to February 2019. Patients with known medical and obstetrical complications were excluded from the study. Placental thickness in millimeters was measured at the level of insertion of the umbilical cord. Pearson’s correlation analysis was used for analyzing variables and p-value <0.05 was considered statistically significant. Results: Mean age of participants was 28.3 ± 4.79 years. Posterior location of the placenta was most common (35%). Placental thickness correlated well with the gestational age and fetal weight. Pearson correlation coefficient was found to be 0.645 for placental thickness with gestational age and 0.598 for placental thickness with fetal weight. P-value was <0.001 in both, showing positive correlation of mentioned variables with placental thickness. Conclusion: Placental thickness can be a new and reliable parameter for estimation of gestational age and fetal weight. It can be routinely used during antenatal checkup.

scholarly journals Profile of caregivers of Parkinson’s disease patients and burden measured by Zarit Scale Analysis of potential burden-generating factors and their correlation with disease severity

2018 ◽  
Vol 12 (3) ◽  
pp. 299-305 ◽  
Author(s):  
Paulo Eduardo Mestrinelli Carrilho ◽  
Marcelo Alvarez Rodrigues ◽  
Brenda Camila Reck de Oliveira ◽  
Emanuelle Bianchi da Silva ◽  
Taline Alisson Artemis Lazzarin Silva ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Disease Severity ◽  
Linear Regression Analysis ◽  
Correlation Method ◽  
Cognitive Status ◽  
Multivariate Linear Regression Analysis ◽  
Pearson’S Correlation ◽  
Pearson's Correlation ◽  
Karnofsky Index

Abstract Parkinson’s disease (PD) promotes burden among patients and caregivers. Objective: To analyze whether disease severity (UPDRS and Karnofsky index), total disease duration, patient cognitive status (MMSE), presence of other diseases, patient age, socioeconomic conditions (ABEP2015), living together with patient, total time caregiving, weekly hours of care and presence of assistance from other caregivers are correlated with, and influence statistically, the degree of caregiver burden measured by the Zarit Burden Interview (ZBI). Methods: After ethics Committee approval, patients and respective caregivers were recruited. Following evaluation with the proper scales, all data were submitted to Pearson’s correlation method and multivariate linear regression analysis (ANOVA). Results: A total of 21 patients and respective caregivers were evaluated. 72% (N=15) of caregivers reported burden. One third of caregivers reported a moderate or severe level of burden. A cause-effect relationship could not be established by the statistical method adopted, but disease severity measured by the UPDRS was the sole variable showing statistically significant moderate positive Pearson’s correlation with ZBI (r=0.48, for p<0.05). On ANOVA, however, no independent variable had a statistically significant impact on ZBI scores. Conclusion: Despite our conflicting results, optimization of the available treatment, with better control of PD severity, can be considered an important element to effectively achieve the goal of reducing burden among caregivers.

scholarly journals Utility of Transcutaneous Bilirubinometer in Tertiary Care Hospital

2017 ◽  
Vol 37 (1) ◽  
pp. 72-78
Author(s):  
Vijay Kumar ◽  
Pardeep Singh Kahlon ◽  
Palwinder Singh ◽  
Kamail Singh ◽  
Anubha Sharma
Keyword(s):  
Birth Weight ◽  
Correlation Coefficient ◽  
Bilirubin Level ◽  
Gestational Age ◽  
Serum Bilirubin ◽  
Mean Value ◽  
Pearson’S Correlation Coefficient ◽  
Pearson's Correlation ◽  
Pearson's Correlation Coefficient ◽  
Transcutaneous Bilirubinometer

Introduction: Hyperbilirubinemia is one of the most vexing problems that may occur in 60% of term and 80% of preterm neonates. In order to reduce the risk of developing serious hyperbilirubinemia, it is vital to identify jaundiced infants who are in need of treatment as soon as possible. The objectives of this study were to find whether transcutaneous bilirubin (TcB) measurement correlates with total serum bilirubin (TSB) levels, measured with standard laboratory method and to analyse the effect of gestational age, birth weight and postnatal life on TcB and TSB.Material and Methods: A prospective study was conducted in the Department of Paediatrics, Government Medical College, Amritsar on 300 neonates with visible jaundice. These neonates were divided into various groups depending upon gestational age, birth weight and day of life. TcB readings were recorded at forehead and sternum and serum bilirubin level was measured within 30 minutes. Test of significance applied was unpaired T-test; mean value, p-value, standard deviation and Pearson's correlation coefficient 'r' were calculated.Results: Overall Mean value TcB at forehead was 15.32 with SD ± 2.75, mean TcB at sternum was 14.94 with SD ±2.51, mean value of TSB was 13.80 with SD ±2.15. Pearson’s correlation coefficient r was 0.895 for TcB forehead vs TSB, 0.903 for TcB sternum vs TSB and 0.966 between TcB forehead vs TcB sternum.Conclusion: TcB levels correlates well with the gold standard measurement of TSB. Gestational age, birth weight and day of life had no effect on TcB and TSB correlation. Transcutaneous bilirubinometer can thus be used to measure bilirubin level as a screening method for neonatal hyperbilirubinemia.

scholarly journals Vital-SCOPE: Design and Evaluation of a Smart Vital Sign Monitor for Simultaneous Measurement of Pulse Rate, Respiratory Rate, and Body Temperature for Patient Monitoring

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Guanghao Sun ◽  
Takemi Matsui ◽  
Yasuyuki Watai ◽  
Seokjin Kim ◽  
Tetsuo Kirimoto ◽  
...  
Keyword(s):  
Body Temperature ◽  
Respiratory Rate ◽  
Correlation Coefficient ◽  
Pulse Rate ◽  
Simultaneous Measurement ◽  
Vital Sign ◽  
Vital Signs ◽  
Pearson’S Correlation ◽  
Pearson's Correlation ◽  
The Mean

Consistent vital sign monitoring is critically important for early detection of clinical deterioration of patients in hospital settings. Mostly, nurses routinely measure and document the primary vital signs of all patients 2‐3 times daily to assess their condition. To reduce nurse workload and thereby improve quality of patient care, a smart vital sign monitor named “Vital‐SCOPE” for simultaneous measurement of vital signs was developed. Vital-SCOPE consists of multiple sensors, including a reflective photo sensor, thermopile, and medical radar, to be used in simultaneous pulse rate, respiratory rate, and body temperature monitoring within 10 s. It was tested in laboratory and hospital settings. Bland-Altman and Pearson’s correlation analyses were used to compare the Vital-SCOPE results to those of reference measurements. The mean difference of the respiratory rate between respiratory effort belt and Vital-SCOPE was 0.47 breaths per minute with the 95% limit of agreement ranging from −7.4 to 6.5 breaths per minute. The Pearson’s correlation coefficient was 0.63 (P<0.05). Moreover, the mean difference of the pulse rate between electrocardiogram and Vital-SCOPE was 3.4 beats per minute with the 95% limit of agreement ranging from −13 to 5.8 beats per minute; the Pearson’s correlation coefficient was 0.91 (P<0.01), indicating strong linear relationship.

scholarly journals Simplification of the Finnegan Neonatal Abstinence Scoring System: retrospective study of two institutions in the USA

BMJ Open ◽  
2017 ◽  
Vol 7 (9) ◽  
pp. e016176 ◽  
Author(s):  
Enrique Gomez Pomar ◽  
Loretta P Finnegan ◽  
Lori Devlin ◽  
Henrietta Bada ◽  
Vanessa A Concina ◽  
...  
Keyword(s):  
Sensitivity And Specificity ◽  
Gestational Age ◽  
Scoring System ◽  
Neonatal Intensive Care ◽  
Statistical Correlation ◽  
Neonatal Intensive Care Units ◽  
Pearson’S Correlation ◽  
Backward Elimination ◽  
The Usa ◽  
Pearson's Correlation

ObjectiveTo develop a simplified Finnegan Neonatal Abstinence Scoring System (sFNAS) that will highly correlate with scores ≥8 and ≥12 in infants being assessed with the FNAS.Design, setting and participantsThis is a retrospective analysis involving 367 patients admitted to two level IV neonatal intensive care units with a total of 40 294 observations. Inclusion criteria included neonates with gestational age ≥37 0/7 weeks, who are being assessed for neonatal abstinence syndrome (NAS) using the FNAS. Infants with a gestational age <37 weeks were excluded.MethodsA linear regression model based on the original FNAS data from one institution was developed to determine optimal values for each item in the sFNAS. A backward elimination approach was used, removing the items that contributed least to the Pearson’s correlation. The sFNAS was then cross-validated with data from a second institution.ResultsPearson’s correlation between the proposed sFNAS and the FNAS was 0.914. The optimal treatment cut-off values for the sFNAS were 6 and 10 to predict FNAS scores ≥8 and ≥12, respectively. The sensitivity and specificity of these cut-off values to detect FNAS scores ≥8 and ≥12 were 0.888 and 0.883 for a cut-off of 6, and 0.637 and 0.992 for a cut-off of 10, respectively. The sFNAS cross-validation resulted in a Pearson’s correlation of 0.908, sensitivity and specificity of 0.860 and 0.873 for a cut-off of 6, and 0.525 and 0.986 for a cut-off of 10, respectively.ConclusionThe sFNAS has a high statistical correlation with the FNAS, and it is cross-validated for the assessment of infants with NAS. It has excellent specificity and negative predictive value for identifying infants with FNAS scores ≥8 and ≥12.

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