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Prediction marker, prediction model and prediction system for premature infant bronchopulmonary dysplasia

A prediction model and technology for premature infants, applied in the field of disease prediction, can solve the problems of specificity improvement and fewer models

Pending Publication Date: 2022-06-17
SUZHOU UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are very few models for predicting BPD in premature infants published in the prior art, and the specificity needs to be improved

Method used

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  • Prediction marker, prediction model and prediction system for premature infant bronchopulmonary dysplasia
  • Prediction marker, prediction model and prediction system for premature infant bronchopulmonary dysplasia
  • Prediction marker, prediction model and prediction system for premature infant bronchopulmonary dysplasia

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Embodiment Construction

[0017] Main experimental reagents and equipment

[0018]

[0019] Statistical processing

[0020] SPSS24.0 statistical software was used for data analysis. If the measurement data conforms to normality, it is expressed as the mean ± standard deviation (`x ± s), and the comparison between the two groups is conducted by two independent samples t test; (P25, P75)], and Mann-Whitney U test was used for comparison between two groups. The enumeration data were expressed as percentage (%), and the chi-square test or Fisher's exact test was used for comparison between the two groups. Pearson correlation analysis was used for continuous variables, and Spearman correlation analysis was used for categorical variables, and the correlation coefficient r was obtained. Binary Logistic regression analysis was used for univariate analysis, P<0.1 was included in multivariate regression model analysis and then multivariate regression analysis was performed, P<0.05 was statistically signifi...

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Abstract

The invention discloses a predictive marker, a predictive model and a predictive system for bronchial lung dysplasia of a premature infant. EUGR, caffeine treatment days, total oxygen uptake days and LMR are independent risk factors of BPD occurrence of the premature infant. The lung ultrasound prompts the occurrence rate of the severe alveolar interstitial syndrome on the third day after the premature infant is born, the lung ultrasound prompts the pleural line change on the 28th day after the premature infant is born, and the occurrence rate of the alveolar interstitial syndrome, the pulmonary metaplasia or the fragment symptom has a prediction effect on the occurrence of the BPD. The serum eNOS level of a child patient in a BPD group on the first day after birth is remarkably higher than that of a child patient in a non-BPD group and is in positive correlation with the severity of BPD, and when the serum eNOS level of the child patient on the first day after birth is larger than 6.48 ng / ml, the risk that a premature infant suffers from BPD is obviously increased. The BPD occurrence of the premature infant can be well predicted by constructing a regression model through combination of six indexes, namely the serum eNOS (1d) level, the severe alveolar interstitial syndrome (3d), EUGR, caffeine treatment days, the total oxygen uptake days and LMR6 indexes.

Description

technical field [0001] The invention belongs to disease prediction technology, and specifically relates to serum markers of premature infants with bronchopulmonary dysplasia and a prediction method and system. Background technique [0002] Bronchopulmonary dysplasia (BPD) is a chronic lung disease that most commonly occurs in premature infants requiring mechanical ventilation and oxygen therapy. In recent years, with the progress of perinatal reproductive technology and the level of neonatal critical care treatment, the incidence and survival rate of premature infants and very low birth weight infants have increased significantly, but the incidence of BPD has also increased significantly. Children with BPD have more long-term respiratory health problems, manifested by higher odds of readmission in the first few years after discharge, especially respiratory disease, impaired lung function, and decreased exercise tolerance; they also have more Neurosensory problems, especiall...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G16H50/30G16H50/70
CPCG06Q10/04G16H50/30G16H50/70
Inventor 朱雪萍朱晓黎宋伟王华伟耿海峰吴志新李文梅陈友国
Owner SUZHOU UNIV
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