Model to Predict Hyperbilirubinemia in Healthy Term and Near-Term Newborns with Exclusive Breast Feeding
The aim of this study was to identify high-risk newborns who will subsequently develop significant hyperbilirubinemia Days 4 to 10 of life by using the clinical data from the first three days of life. Methods: We retrospectively collected exclusively breastfeeding healthy term and near-term newborns...
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| Format: | Article |
| Language: | English |
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Elsevier
2012-12-01
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| Series: | Pediatrics and Neonatology |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S187595721200143X |
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| author | Hsin-Chung Huang Hwai-I Yang Yu-Hsun Chang Rui-Jane Chang Mei-Huei Chen Chien-Yi Chen Hung-Chieh Chou Wu-Shiun Hsieh Po-Nien Tsao |
| author_facet | Hsin-Chung Huang Hwai-I Yang Yu-Hsun Chang Rui-Jane Chang Mei-Huei Chen Chien-Yi Chen Hung-Chieh Chou Wu-Shiun Hsieh Po-Nien Tsao |
| author_sort | Hsin-Chung Huang |
| collection | DOAJ |
| description | The aim of this study was to identify high-risk newborns who will subsequently develop significant hyperbilirubinemia Days 4 to 10 of life by using the clinical data from the first three days of life.
Methods: We retrospectively collected exclusively breastfeeding healthy term and near-term newborns born in our nursery between May 1, 2002, to June 30, 2005. Clinical data, including serum bilirubin were collected and the significant predictors were identified. Bilirubin level ≥15mg/dL during Days 4 to 10 of life was defined as significant hyperbilirubinemia. A prediction model to predict subsequent hyperbilirubinemia was established. This model was externally validated in another group of newborns who were enrolled by the same criteria to test its discrimination capability.
Results: Totally, 1979 neonates were collected and 1208 cases were excluded by our exclusion criteria. Finally, 771 newborns were enrolled and 182 (23.6%) cases developed significant hyperbilirubinemia during Days 4 to 10 of life. In the logistic regression analysis, gestational age, maximal body weight loss percentage, and peak bilirubin level during the first 72 hours of life were significantly associated with subsequent hyperbilirubinemia. A prediction model was derived with the area under receiver operating characteristic (AUROC) curve of 0.788. Model validation in the separate study (N = 209) showed similar discrimination capability (AUROC = 0.8340).
Conclusion: Gestational age, maximal body weight loss percentage, and peak serum bilirubin level during the first 3 days of life have highest predictive value of subsequent significant hyperbilirubinemia. We provide a good model to predict the risk of subsequent significant hyperbilirubinemia. |
| format | Article |
| id | doaj-art-864f0b2363d8404f9eee93442782267c |
| institution | DOAJ |
| issn | 1875-9572 |
| language | English |
| publishDate | 2012-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Pediatrics and Neonatology |
| spelling | doaj-art-864f0b2363d8404f9eee93442782267c2025-08-20T03:09:42ZengElsevierPediatrics and Neonatology1875-95722012-12-0153635435810.1016/j.pedneo.2012.08.012Model to Predict Hyperbilirubinemia in Healthy Term and Near-Term Newborns with Exclusive Breast FeedingHsin-Chung Huang0Hwai-I Yang1Yu-Hsun Chang2Rui-Jane Chang3Mei-Huei Chen4Chien-Yi Chen5Hung-Chieh Chou6Wu-Shiun Hsieh7Po-Nien Tsao8Department of Pediatrics, Taipei City Hospital, Heping FuYou Branch, Taipei, TaiwanMolecular and Genomic Epidemiology Center, China Medical University Hospital, Taichung, TaiwanDepartment of Pediatrics, Buddhist Tzu Chi General Hospital, Hualien, TaiwanDepartment of Pediatrics, Buddhist Tzu Chi General Hospital, Hualien, TaiwanDepartment of Pediatrics, Cardinal Tien Hospital, Yung Ho Branch, TaiwanDepartment of Pediatrics, Taipei City Hospital, Heping FuYou Branch, Taipei, TaiwanDepartment of Pediatrics, Taipei City Hospital, Heping FuYou Branch, Taipei, TaiwanDepartment of Pediatrics, Taipei City Hospital, Heping FuYou Branch, Taipei, TaiwanDepartment of Pediatrics, Taipei City Hospital, Heping FuYou Branch, Taipei, TaiwanThe aim of this study was to identify high-risk newborns who will subsequently develop significant hyperbilirubinemia Days 4 to 10 of life by using the clinical data from the first three days of life. Methods: We retrospectively collected exclusively breastfeeding healthy term and near-term newborns born in our nursery between May 1, 2002, to June 30, 2005. Clinical data, including serum bilirubin were collected and the significant predictors were identified. Bilirubin level ≥15mg/dL during Days 4 to 10 of life was defined as significant hyperbilirubinemia. A prediction model to predict subsequent hyperbilirubinemia was established. This model was externally validated in another group of newborns who were enrolled by the same criteria to test its discrimination capability. Results: Totally, 1979 neonates were collected and 1208 cases were excluded by our exclusion criteria. Finally, 771 newborns were enrolled and 182 (23.6%) cases developed significant hyperbilirubinemia during Days 4 to 10 of life. In the logistic regression analysis, gestational age, maximal body weight loss percentage, and peak bilirubin level during the first 72 hours of life were significantly associated with subsequent hyperbilirubinemia. A prediction model was derived with the area under receiver operating characteristic (AUROC) curve of 0.788. Model validation in the separate study (N = 209) showed similar discrimination capability (AUROC = 0.8340). Conclusion: Gestational age, maximal body weight loss percentage, and peak serum bilirubin level during the first 3 days of life have highest predictive value of subsequent significant hyperbilirubinemia. We provide a good model to predict the risk of subsequent significant hyperbilirubinemia.http://www.sciencedirect.com/science/article/pii/S187595721200143Xhyperbilirubinemianeonateprediction |
| spellingShingle | Hsin-Chung Huang Hwai-I Yang Yu-Hsun Chang Rui-Jane Chang Mei-Huei Chen Chien-Yi Chen Hung-Chieh Chou Wu-Shiun Hsieh Po-Nien Tsao Model to Predict Hyperbilirubinemia in Healthy Term and Near-Term Newborns with Exclusive Breast Feeding Pediatrics and Neonatology hyperbilirubinemia neonate prediction |
| title | Model to Predict Hyperbilirubinemia in Healthy Term and Near-Term Newborns with Exclusive Breast Feeding |
| title_full | Model to Predict Hyperbilirubinemia in Healthy Term and Near-Term Newborns with Exclusive Breast Feeding |
| title_fullStr | Model to Predict Hyperbilirubinemia in Healthy Term and Near-Term Newborns with Exclusive Breast Feeding |
| title_full_unstemmed | Model to Predict Hyperbilirubinemia in Healthy Term and Near-Term Newborns with Exclusive Breast Feeding |
| title_short | Model to Predict Hyperbilirubinemia in Healthy Term and Near-Term Newborns with Exclusive Breast Feeding |
| title_sort | model to predict hyperbilirubinemia in healthy term and near term newborns with exclusive breast feeding |
| topic | hyperbilirubinemia neonate prediction |
| url | http://www.sciencedirect.com/science/article/pii/S187595721200143X |
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