The ultrasound image patterns at the early stage after birth can predict
health neonates ----a nested case-control study
Abstract
Abstract Purpose To distinguish healthy infants from potential patients
right after birth using lungultrasound(LUS). Design, Setting and
Patients This is a nested case-control study containing 22 lung diseases
patients and 473 healthy infants from a total of 504 successive infants.
They are admitted to Obstetrics & Gynecology Hospital of Fudan
University, Shanghai, China, from 1st January 2020 to 1st April 2020. A
newly designed scanning protocol is used to capture LUS images.
Sensitivity, specificity, PPV and NPV for predicting healthy infants and
patients were calculated individually. The transition process image
patterns and thier variation were shown. The relationship between clinic
signs and the high-risk image patterns was calculated by Kendall’s tau-b
test. Measurements and main results LUS images were captured and its
preditive value has been caculated. Four low-risk patterns almost only
can be seen in healthy infants(specificity=86.4%, PPV=99.0%) whereas
four high-risk patterns can be seen both in healthy infants and
patients(specificity=62.4%, PPV=9.6%). High-risk patterns are more
likely to be pathological when appearing at oxter and lower back but to
be a physiological sign when appearing at Lower and upper of the
prothorax. These high-risk patterns are significantly related to clinic
sign. All these patterns are alsmost consistent during 6 hours after
birth. Conclusions LUS is valid to differentiate healthy infants from
potential patients who with mild respiratory difficulty. Four low-risk
patterns have high value to predict healthy infants, but four high-risk
patterns are not specific enough to discover patients. This criterion is
valid for this 6 hours stage.