The invention relates to the technical field of
medical health, and discloses a cardiopulmonary
ultrasound assessment method and
system for premature infant BPD early warning. The method comprises the steps that premature infant
heart rate variability,
pulmonary artery systolic pressure and
respirator parameter data are synchronously collected through an HL7 FHIR protocol interface, and a BPD early warning basic
data set is obtained; performing weighted fusion on the ratio of SDNN to RMSSD, the square ratio of
pulmonary artery to
systemic circulation systolic pressure and
oxygenation parameters in the data through an
algorithm to obtain a CPDI value; the CPDI and the cardiopulmonary parameters are combined to evaluate the pulmonary
vascular resistance load, and a PVRL index is obtained; the CPDI, the PVRL, the
gestational age and the
body weight adjustment factor are fused, and a BPD occurrence risk
score is obtained; and dividing risk levels according to the scoring interval and generating an early warning result. According to the method, the problem that premature infant BPD early warning lacks cardiopulmonary
system multi-parameter fusion analysis and individualized
risk assessment in the prior art is solved, and
continuous dynamic early warning and accurate risk layering based on CPDI and PVRL indexes are achieved.