Diagnostic Accuracy of Foot Length in Predicting Preterm and Low Birth Weight Using Ultrasound Dating as The Gold Standard in a Rural District of Pakistan

Background:

The burden of preterm and low birth weight babies (LBW) is high in low- and middle-income countries (LMICs). Therefore, assessment of gestational age (GA) and birth weight is important. The GA is assessed using a reliable last menstrual period (LMP), measuring fundal height, using ultrasound for dating, or postnatally using Ballard, Dubowitz, or Eregie scores. However, each method has some limitations. Pregnant women in LMIC are not able to recall LMP and are also unreliable when menstrual cycles are irregular, fundal height is often imprecise and subject to variation due to observer bias, uterine pathologies, abdominal obesity, amniotic fluid volume, fetal position, and ultrasound in a rural setting is often unreliable because lack of trained sonologist, power failures, and maintenance of ultrasound machine. Post-natal GA scoring is also lengthy, subjective, and time-consuming. Similarly, determining birth weight has many challenges. In Thatta, weighing scales are only available in health facilities, therefore, birth weight is available for babies born in the health facilities. Furthermore, even where weighing scales are available, the calibration and maintenance are not without challenges, especially in the extremely hot climate. In the majority of studies, foot length has been validated for determining GA and birth weight, with LMP serving as the gold standard, which has limitations in our population. In a meta-analysis on the diagnostic accuracy of foot length to identify preterm and LBW, researchers emphasized the need for studies using high-quality ultrasound as a reference standard for early dating. Hence, there is a need to develop a simple and effective method of GA and birth weight that healthcare providers of all levels including mid-level healthcare workers in remote areas can use with reasonable accuracy.

Objectives of the study The primary objectives of the study are to determine the diagnostic accuracy of foot length in predicting GA and low birth weight using ultrasound conducted between 6-20 weeks for the predicted estimated date of delivery (EDD) as the gold standard.

Secondary objectives of the study are, 1) to develop the regression equations that predict gestational age and low birth weight using foot length, 2) to assess the use of foot length measurement as a screening tool to identify LBW or preterm infants in a community-based setting, and 3) to develop percentile charts of foot length for gestational age and low birth weight

Methods:

This test validation study will be conducted in Global Network's Maternal and Newborn Health Registry catchment area. All live birth singleton babies who have a first-trimester ultrasound for gestational age and birth weight within 48 hours of birth will be included in this study. Stillbirths, multiple pregnancies, gross congenital malformations such as neural tube defects, omphalocele, etc., club foot, and babies with chromosomal abnormalities such as Down syndrome that make measuring foot length difficult, will be excluded from the study. Gestational age will be assessed using ultrasound between 6-20 weeks of gestation by a trained sonographer working in the registry. Neonatal assessment having neuromuscular, and physical signs will be conducted by the research assistants (RA). RA will be taking anthropometric measurements such as birth weight using calibrated weighing scales, foot length, mid-upper arm circumference, and fronto-occipital circumference.

The data will be entered in Epicollect data five. Sensitivity, specificity, positive & negative predictive value, likelihood ratios, and diagnostic accuracy will be done using different cut-offs of foot length against ultrasound estimated gestational age and birth weight. Receivers operating characteristics (ROC) curves will be generated to identify the optimal cut-off point for foot length taken within 24 hours of birth for identification of prematurity and LBW (based on first-trimester ultrasound) with ≥80% sensitivity. Linear regression will be done for estimating predictive values of foot length by GA. Pentile charts for foot length (FL) against GA will be derived. Bland Altman's analyses will identify and quantify any biases inherent to the tool.

Public health implications:

If these equations predict gestational age and birth weight with accuracy, an android-based application can be developed for health care providers (HCP) who simply measure foot length and enter it into the application to identify preterm &/or low birth weight along with referred guidelines for early treatment. This is one step closer to Every Newborn Action Plan's goal of lowering neonatal mortality to 12/1000 LB by 2030.

Study Overview

• Status: Completed
• Conditions: Preterm Birth; Low Birth Weight
• Intervention / Treatment: Diagnostic test: Foot length

• Study Type: Observational
• Enrollment (Actual): 336

Contacts and Locations

Study Locations

• Pakistan
  • Sind
    • Thatta, Sind, Pakistan, 73130
      • Community of Thatta

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 1 second to 2 days (Child)
• Accepts Healthy Volunteers: No

• Sampling Method: Non-Probability Sample

Study Population

Singleton alive newborns

Description

Inclusion Criteria:

• All livebirth singleton babies
• Having first-trimester ultrasound for gestational age
• Birth weight measured within 48 hours of birth

Exclusion Criteria:

• Stillbirths
• Multiple pregnancies
• Gross congenital malformations such as neural tube defects, omphalocele, etc.,
• Club foot
• Pregnant women whose ultrasound dating differs between sonographers and senior radiologists

Study Plan

How is the study designed?

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Diagnostic accuracy of foot length for preterm baby	Diagnostic accuracy defined as sensitivity, specificity, predictive values, likelihood ratios	Within 48 hours of birth
Diagnostic accuracy of foot length for low birth weight baby	Diagnostic accuracy defined as sensitivity, specificity, predictive values, likelihood ratios	Within 48 hours of birth

Secondary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Small for gestational age	Birth weigh less than 10th centile for age and sex	Within 48 hours of birth

Collaborators and Investigators

• Sponsor: Aga Khan University

Study record dates

Study Major Dates

• Study Start (Actual): November 7, 2022
• Primary Completion (Actual): June 30, 2023
• Study Completion (Actual): July 13, 2023

Study Registration Dates

• First Submitted: August 23, 2022
• First Submitted That Met QC Criteria: August 23, 2022
• First Posted (Actual): August 25, 2022

Study Record Updates

• Last Update Posted (Actual): July 14, 2023
• Last Update Submitted That Met QC Criteria: July 12, 2023
• Last Verified: July 1, 2023

More Information

Terms related to this study

• Keywords: Diagnostic accuracy; birth weight; Correlation; Regression equation; Gestational age
• Additional Relevant MeSH Terms: Pregnancy Complications; Obstetric Labor Complications; Obstetric Labor, Premature; Female Urogenital Diseases and Pregnancy Complications; Urogenital Diseases; Premature Birth; Body Weight; Birth Weight
• Other Study ID Numbers: 2022-7421-21580

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: UNDECIDED
• IPD Plan Description: After the publication of the main papers, data could be made publicly available to other researchers.

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No