Placental Morphometry Determines the Birth WeightCorrespondence Address :
Dr. Rupa L Balihallimath,
A-12/5 Apartment, JNMC Staff Qtrs, Nehrunagar, Belgaum, India.
Phone: 9742118485, E-mail: firstname.lastname@example.org
Background: Placental morphometry determines the foetal development and adulthood disease pattern. Hence, in the present study the influence of placental weight, volume, surface area, and thickness were studied in different groups of birth weight by sex of the newborn.
Materials and Method: Present study was conducted on 164 consecutive singleton deliveries from a teaching hospital of Northern Karnataka, India. Multivariate linear regression models were constructed by maximum likelihood method after checking the linearity. The sensitivity, specificity and predictive values of regression models were computed to exhibit their utility for physicians.
Results: Gestational age exhibited positive relationship with birth weight. Placental parameters showed a positive and significant relationship (p<0.001) with birth weight and higher values in males. The birth weight was estimated by regression models using sex of the newborn and placental morphometry; weight (R2=0.474), surface area (R2=0.420), and volume (R2=0.477) at 95% confidence interval. Low birth weight babies in the study were correctly identified by placental weight, surface area, volume and sex of the newborn. Their sensitivity, specificity and predictive values have been specified.
Conclusion: Placental morphometry: weight, surface area, volume and sex of the baby determined the birth weight efficiently to initiate the corrective measures for planning better maternal care and to pacify mothers and their relatives.
Regression models, sex of the newborn.
Financial OR OTHER COMPETING INTERESTS: None
Date of Submission: Aug 26, 2013
Date of Peer Review: Sep 27, 2013
Date of Acceptance: Oct 14, 2013
Date of Publishing: Nov 10, 2013
- Emerging Sources Citation Index (Web of Science, thomsonreuters)
- Index Copernicus ICV 2017: 134.54
- Academic Search Complete Database
- Directory of Open Access Journals (DOAJ)
- Google Scholar
- HINARI Access to Research in Health Programme
- Indian Science Abstracts (ISA)
- Journal seek Database
- Popline (reproductive health literature)