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Predicting preterm delivery and lowering very preterm delivery rate

Authors: Z, Novak-Antolic;

Predicting preterm delivery and lowering very preterm delivery rate

Abstract

The chances and quality of survival depend on gestational age at birth. Why has PTD not decreased during the last decade, in spite of all the known risk factors? Perinatal data bases tend to include biomedical risk factors and are assembled and analysed retrospectively. These data should form the basis for prediction, and risk factors such as stress, anxiety, inflammation (leading to elevated CRH with its role in PTD), short cervix etc, should be added when assessed prospectively. The goal is preconception and early prediction in pregnancy. Only with the implementation of efficient intervention will we lengthen pregnancies and lower the VPTD rate. More articles about the PTD and complications of preterm births should be published in the lay press. There is no room for pessimism: if everybody involved would do just a little in the right direction, the result would be enormous. Constant auditing of interventions is necessary. The most difficult to "cure" and most likely to relapse are stress, anxiety and social factors, and discrimination in obtaining basic health care. Long forgotten lessons of compassion with pregnant women have not yet been acknowledged as proven to change VPTD into PTD, but are available at no cost world wide.

Related Organizations
Keywords

Obstetric Labor, Premature, Pregnancy, Risk Factors, Slovenia, Humans, Female, Gestational Age, Health Care Costs

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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