Development and Validation of a Nomogram for Predicting Bronchopulmonary Dysplasia in Very-Low-Birth-Weight Infants
| Autor: | Mengyuan Lei, Min Shen, Lili Wang, Suge Han, Xinru Cheng, Li Wang, Jingdi Zhang, Qianya Xu, Zanyang Shi, Min Zhao, Ju Zhang, Fengxia Mao, Yixia Zhang, Chenghan Luo, Shanshan Zhang, Qian Zhang |
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| Rok vydání: | 2021 |
| Předmět: |
Pediatrics
medicine.medical_specialty genetic structures Calibration (statistics) Logistic regression LASSO regression nomogram 03 medical and health sciences 0302 clinical medicine 030225 pediatrics bronchopulmonary dysplasia medicine 030212 general & internal medicine Stage (cooking) Original Research business.industry lcsh:RJ1-570 Gestational age Retrospective cohort study lcsh:Pediatrics NT-proBNP level Nomogram medicine.disease Low birth weight Bronchopulmonary dysplasia Pediatrics Perinatology and Child Health medicine.symptom business very-low-birth-weight infants |
| Zdroj: | Frontiers in Pediatrics Frontiers in Pediatrics, Vol 9 (2021) |
| ISSN: | 2296-2360 |
| Popis: | Background: Bronchopulmonary dysplasia is a common pulmonary disease in newborns and is one of the main causes of death. The aim of this study was to build a new simple-to-use nomogram to screen high-risk populations.Methods: In this single-center retrospective study performed from January 2017 to December 2020, we reviewed data on very-low-birth-weight infants whose gestational ages were below 32 weeks. LASSO regression was used to select variables for the risk model. Then, we used multivariable logistic regression to build the prediction model incorporating these selected features. Discrimination was assessed by the C-index, and and calibration of the model was assessed by and calibration curve and the Hosmer-Lemeshow test.Results: The LASSO regression identified gestational age, duration of ventilation and serum NT-proBNP in the 1st week as significant predictors of BPD. The nomogram-illustrated model showed good discrimination and calibration. The C-index was 0.853 (95% CI: 0.851–0.854) in the training set and 0.855 (95% CI: 0.77–0.94) in the validation set. The calibration curve and Hosmer-Lemeshow test results showed good calibration between the predictions of the nomogram and the actual observations.Conclusion: We demonstrated a simple-to-use nomogram for predicting BPD in the early stage. It may help clinicians recognize high-risk populations. |
| Databáze: | OpenAIRE |
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