scholarly journals External validation of postnatal gestational age estimation using newborn metabolic profiles in Matlab, Bangladesh

eLife ◽  
2019 ◽  
Vol 8 ◽  
Author(s):  
Malia SQ Murphy ◽  
Steven Hawken ◽  
Wei Cheng ◽  
Lindsay A Wilson ◽  
Monica Lamoureux ◽  
...  
Keyword(s):  
Cord Blood ◽  
Gestational Age ◽  
Age Estimation ◽  
External Validation ◽  
Population Level ◽  
Average Deviation ◽  
Term Infants ◽  
Data Set ◽  
Heel Prick ◽  
Gestational Age Estimation

This study sought to evaluate the performance of metabolic gestational age estimation models developed in Ontario, Canada in infants born in Bangladesh. Cord and heel prick blood spots were collected in Bangladesh and analyzed at a newborn screening facility in Ottawa, Canada. Algorithm-derived estimates of gestational age and preterm birth were compared to ultrasound-validated estimates. 1036 cord blood and 487 heel prick samples were collected from 1069 unique newborns. The majority of samples (93.2% of heel prick and 89.9% of cord blood) were collected from term infants. When applied to heel prick data, algorithms correctly estimated gestational age to within an average deviation of 1 week overall (root mean square error = 1.07 weeks). Metabolic gestational age estimation provides accurate population-level estimates of gestational age in this data set. Models were effective on data obtained from both heel prick and cord blood, the latter being a more feasible option in low-resource settings.

scholarly journals Development and external validation of machine learning algorithms for postnatal gestational age estimation using clinical data and metabolomic markers

2020 ◽  
Author(s):  
Steven Hawken ◽  
Robin Ducharme ◽  
Malia S.Q. Murphy ◽  
Brieanne Olibris ◽  
A. Brianne Bota ◽  
...  
Keyword(s):  
Machine Learning ◽  
Cord Blood ◽  
Clinical Data ◽  
Gestational Age ◽  
External Validation ◽  
Machine Learning Algorithms ◽  
Cord Blood Sample ◽  
Birth Cohorts ◽  
Heel Prick ◽  
Blood Data

Accurate estimates of gestational age at birth are important for preterm birth surveillance but can be challenging to reliably acquire in low and middle income countries. Our objective was to develop machine learning models to accurately estimate gestational age shortly after birth using clinical and metabolic data. We derived and internally validated three models using ELASTIC NET multivariable linear regression in heel prick blood samples and clinical data from a retrospective cohort of newborns from Ontario, Canada. We conducted external model validation in heel prick and cord blood sample data collected from prospective birth cohorts in Lusaka, Zambia (N=311) and Matlab, Bangladesh (N=1176). The best-performing model accurately estimated gestational age within about 6 days of early pregnancy ultrasound estimates in both cohorts when applied to heel prick data (MAE (95% CI) = 0.79 weeks (0.69, 0.90) for Zambia; 0.81 weeks (0.75, 0.86) for Bangladesh), and within about 7 days when applied to cord blood data (1.02 weeks (0.90, 1.15) for Zambia; 0.95 weeks (0.90, 0.99) for Bangladesh). Algorithms developed in Canada provided accurate estimates of gestational age when applied to external cohorts from Zambia and Bangladesh. Model performance was superior in heel prick data as compared to cord blood data.

scholarly journals Postnatal gestational age estimation using newborn screening blood spots: a proposed validation protocol

2017 ◽  
Vol 2 (2) ◽  
pp. e000365 ◽  
Author(s):  
Malia S Q Murphy ◽  
Steven Hawken ◽  
Katherine M Atkinson ◽  
Jennifer Milburn ◽  
Jesmin Pervin ◽  
...  
Keyword(s):  
Newborn Screening ◽  
Gestational Age ◽  
Age Estimation ◽  
Blood Spots ◽  
Gestational Age Estimation

Neonatal Polycythemia: I. Early Diagnosis and Incidence Relating to Time of Sampling

PEDIATRICS ◽  
1984 ◽  
Vol 73 (1) ◽  
pp. 7-10 ◽  
Author(s):  
Mordechai Shohat ◽  
Paul Merlob ◽  
Salomon H. Reisner
Keyword(s):  
Early Diagnosis ◽  
Cord Blood ◽  
Gestational Age ◽  
Linear Correlation ◽  
Blood Viscosity ◽  
Full Term ◽  
Peripheral Vein ◽  
Dynamic Changes ◽  
Term Infants ◽  
Appropriate For Gestational Age

The dynamic changes occurring in hematocrit and blood viscosity within the first 18 hours of life were studied in 50 full-term infants who were vaginally delivered and had weight appropriate for gestational age. In all cases, the cord was clamped within 30 seconds and cord blood was collected from the vein and artery. Subsequently, samples were taken from a peripheral vein at ages 15 minutes, and 2, 4, 6, and between 12 to 18 hours. Both the Hct and blood viscosity reach their peak at age 2 hours. The incidence of neonatal polycythemia varied greatly with age. Thus at the age of 2 hours, ten infants (20%) were polycythemic, whereas by age 6 hours only six (12%) of these infants were still polycythemic and by age 12 to 18 hours only one infant (2%) was polycythemic. A linear correlation was found between cord Hct levels and peripheral venous Hct levels by age 2 hours. None of the infants with cord blood Hct levels ≤56% had developed polycythemia, whereas ten of the 12 infants with cord Hct levels >56% developed polycythemia. In this particular group of infants, cord blood Hct levels may be used for the screening of neonatal polycythemia.

scholarly journals Early termination of pregnancy: differences in gestational age estimation using last menstrual period and ultrasound in Mexico

2020 ◽  
Vol 17 (1) ◽  
Author(s):  
Biani Saavedra-Avendano ◽  
Raffaela Schiavon ◽  
Patricio Sanhueza ◽  
Ranulfo Rios-Polanco ◽  
Laura Garcia-Martinez ◽  
...  
Keyword(s):  
Gestational Age ◽  
Age Estimation ◽  
Termination Of Pregnancy ◽  
Early Termination ◽  
Menstrual Period ◽  
Last Menstrual Period ◽  
Gestational Age Estimation
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