Literature DB >> 22094493

Predischarge non-invasive risk assessment for prediction of significant hyperbilirubinemia in term and late preterm neonates.

S Kaur1, D Chawla, U Pathak, S Jain.   

Abstract

OBJECTIVE: To evaluate efficacy of predischarge transcutaneous bilirubin (TcB) measurement and clinical risk assessment in predicting hyperbilirubinemia needing treatment. STUDY
DESIGN: A diagnostic test was performed in a prospective cohort study conducted at a teaching hospital in North India. Subjects included healthy neonates with a gestation period of ≥35 weeks or birth weight ≥2000 g. Maternal, neonatal and delivery risk factors for hyperbilirubinemia were prospectively collected. TcB was measured in all enrolled neonates at 24±6, 72 to 96 and 96 to 144 h of postnatal age and when indicated clinically. Neonates were followed up during hospital stay and after discharge till completion of the 7th postnatal day. The key outcome was significant hyperbilirubinemia defined as need of phototherapy on the basis of modified American Academy of Pediatrics guidelines. In neonates born at ≥38 weeks of gestation and in neonates born at ≤37 completed weeks of gestation, middle line and lower line of phototherapy thresholds were used to initiate phototherapy, respectively. Variables observed to be significantly associated with significant hyperbilirubinemia on multivariate analysis were used for construction of a clinical risk assessment tool. Predictive ability of the risk assessment tool was assessed by calculating sensitivity, specificity, positive predictive value and negative predictive value, by plotting receiver-operating characteristics curve and calculating c-statistic. RESULT: A total of 997 neonates (birth weight: 2627±536 g, gestation: 37.8±1.5 weeks) were enrolled in the study, of which 931 completed follow-up. Among enrolled neonates, 344 (34.5%) were low birth weight. Overall, a total of 199 (20%) neonates developed significant hyperbilirubinemia. On stepwise logistic regression analysis, predischarge TcB percentile and gestation were significantly found to be associated with significant hyperbilirubinemia. A risk assessment graph was constructed to predict subsequent development of significant hyperbilirubinemia. Area under curve for this risk assessment strategy was 0.75.
CONCLUSION: A risk assessment graphical tool consisting of TcB and gestation accurately predicted subsequent need of phototherapy. Further studies are needed to validate performance of this risk assessment tool.

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Year:  2011        PMID: 22094493     DOI: 10.1038/jp.2011.170

Source DB:  PubMed          Journal:  J Perinatol        ISSN: 0743-8346            Impact factor:   2.521


  5 in total

Review 1.  Bilirubin nomograms for identification of neonatal hyperbilirubinemia in healthy term and late-preterm infants: a systematic review and meta-analysis.

Authors:  Zhang-Bin Yu; Shu-Ping Han; Chao Chen
Journal:  World J Pediatr       Date:  2014-08-15       Impact factor: 2.764

2.  Incidence of and risk factors for neonatal jaundice among newborns in southern Nepal.

Authors:  Carolyn G Scrafford; Luke C Mullany; Joanne Katz; Subarna K Khatry; Steven C LeClerq; Gary L Darmstadt; James M Tielsch
Journal:  Trop Med Int Health       Date:  2013-09-23       Impact factor: 2.622

Review 3.  Risk factors for severe neonatal hyperbilirubinemia in low and middle-income countries: a systematic review and meta-analysis.

Authors:  Bolajoko O Olusanya; Folasade B Osibanjo; Tina M Slusher
Journal:  PLoS One       Date:  2015-02-12       Impact factor: 3.240

4.  Hyperbilirubinemia in Preterm Infants Admitted to Neonatal Intensive Care Units in Ethiopia.

Authors:  Sara Aynalem; Mahlet Abayneh; Gesit Metaferia; Abayneh G Demissie; Netsanet Workneh Gidi; Asrat G Demtse; Hailu Berta; Bogale Worku; Assaye K Nigussie; Amha Mekasha; Zelalem Tazu Bonger; Elizabeth M McClure; Robert L Goldenberg; Lulu M Muhe
Journal:  Glob Pediatr Health       Date:  2020-12-28

5.  Do triple test results predict risk for neonatal hyperbilirubinemia?

Authors:  Hale Goksever Celik; Engin Celik; Gokhan Yildirim; Merih Cetinkaya
Journal:  Pak J Med Sci       Date:  2017 Jul-Aug       Impact factor: 1.088

  5 in total

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