Correcting for measurement error in assessing gestational age in a low-resource setting: a regression calibration approach.
attenuation
fundal height
gestational age
last menstrual period
measurement error
preterm
regression calibration
Journal
Frontiers in medicine
ISSN: 2296-858X
Titre abrégé: Front Med (Lausanne)
Pays: Switzerland
ID NLM: 101648047
Informations de publication
Date de publication:
2023
2023
Historique:
received:
17
05
2023
accepted:
25
09
2023
medline:
30
10
2023
pubmed:
30
10
2023
entrez:
30
10
2023
Statut:
epublish
Résumé
Measurement error in gestational age (GA) may bias the association of GA with a health outcome. Ultrasound-based GA is considered the gold standard and is not readily available in low-resource settings. We corrected for measurement error in GA based on fundal height (FH) and date of last menstrual period (LMP) using ultrasound from the sub-cohort and adjusted for the bias in associating GA with neonatal mortality and low birth weight (< 2,500 grams, LBW). We used data collected from 01/2015 to 09/2019 from pregnant women enrolled at two public hospitals in Siaya county, Kenya ( Calibration improved the precision of LMP (correlation coefficient, Calibrating FH/LMP-based GA improved the accuracy and precision of GA estimates and strengthened the association of GA with neonatal mortality/LBW. When assessing GA, neonatal public health and clinical interventions may benefit from calibration modeling in settings where ultrasound may not be fully available.
Identifiants
pubmed: 37901408
doi: 10.3389/fmed.2023.1222772
pmc: PMC10613090
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1222772Informations de copyright
Copyright © 2023 Agogo, Verani, Otieno, Nyawanda, Widdowson and Chaves.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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