The Prediction of Bronchopulmonary Dysplasia in Very Low Birth Weight Infants through Clinical Indicators within 1 Hour of Delivery.

Shim, So Yeon; Yun, Ji Yun; Cho, Su Jin; Kim, Min Ho; Park, Eun Ae

Shim, So Yeon; Yun, Ji Yun; Cho, Su Jin; Kim, Min Ho; Park, Eun Ae.

Affiliation

Shim SY; Department of Pediatrics, School of Medicine, Ewha Womans University, Seoul, Korea.
Yun JY; Department of Pediatrics, Ewha Womans University Mokdong Hospital, Seoul, Korea.
Cho SJ; Department of Pediatrics, School of Medicine, Ewha Womans University, Seoul, Korea.
Kim MH; Informatization Department, Ewha Womans University, Seoul, Korea.
Park EA; Department of Pediatrics, School of Medicine, Ewha Womans University, Seoul, Korea. pea8639@ewha.ac.kr.

J Korean Med Sci ; 36(11): e81, 2021 Mar 22.

Article in En | MEDLINE | ID: mdl-33754511

Subject(s)

Bronchopulmonary Dysplasia/diagnosis; Infant, Very Low Birth Weight; Algorithms; Apgar Score; Area Under Curve; Body Temperature; Bronchopulmonary Dysplasia/pathology; Databases, Factual; Female; Gestational Age; Humans; Infant, Newborn; Infant, Premature; Logistic Models; Male; Predictive Value of Tests; Pulmonary Surfactants/therapeutic use; ROC Curve; Registries; Respiratory Distress Syndrome, Newborn/drug therapy; Respiratory Distress Syndrome, Newborn/pathology; Time Factors

Key words

Bronchopulmonary Dysplasia; Prediction; Very Low Birth Weight Infants

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bronchopulmonary Dysplasia / Infant, Very Low Birth Weight Type of study: Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male / Newborn Language: En Journal: J Korean Med Sci Journal subject: MEDICINA Year: 2021 Type: Article

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