| Literature DB >> 33014346 |
Dewi Rahmawati1, Mahendra Tri Arif Sampurna1, Risa Etika1, Martono Tri Utomo1, Arend F Bos2.
Abstract
Background: Hyperbilirubinemia is common in neonates, with higher prevalence among preterm neonates, which can lead to severe hyperbilirubinemia. Assessment of total serum bilirubin (TSB) and the use of a transcutaneous bilirubinometry (TcB) are existing methods that identify and predict hyperbilirubinemia. This study aimed to determine TcB cut-off values during the first day for preterm neonates to predict hyperbilirubinemia at 48 and 72 hours.Entities:
Keywords: hyperbilirubinemia; predict; preterm neonates; transcutaneous bilirubin
Mesh:
Substances:
Year: 2020 PMID: 33014346 PMCID: PMC7499403 DOI: 10.12688/f1000research.22264.2
Source DB: PubMed Journal: F1000Res ISSN: 2046-1402
Maternal and neonatal characteristics of subjects.
| Maternal characteristics | Group I
| Group II
|
|---|---|---|
| Gestational Age (weeks)
| 32.29 ± 1.84 | 33.69 ± 1.26 |
| Mode of delivery
|
|
|
| Maternal Blood Type
|
|
|
| Neonatal characteristics | Group I
| Group II
|
| Birth Weight (g) (mean ±SD) | 1273.68 ± 177.34 | 1792.70 ± 145.86 |
| Hematocrit (%) (mean ±SD) | 48.04 ± 10.47 | 46.99± 8.48 |
| Gender
|
|
|
| Neonatal blood-type
|
|
|
*Descriptive analysis was used. Maternal and neonatal rhesus were positive.
Figure 1. The proportionof hyperbilirubinemia in preterm neonates.
Figure 2. Transcutaneous bilirubinometry (TcB) level to predict hyperbilirubinemia at the age of 48 hours.
( a) Receiver operating characteristic (ROC) curve for TcB at the age of 12 hours to predict hyperbilirubinemia at the age of 48 hours for Group I. ( b) ROC curve for TcB at the age of 24 hours to predict hyperbilirubinemia at the age of 48 hours for Group I. ( c) ROC curve for TcB at the age of 12 hours to predict hyperbilirubinemia at the age of 48 hours for Group II. ( d) ROC curve for TcB at the age of 24 hours to predict hyperbilirubinemia at the age of 48 hours for Group II.
Transcutaneous bilirubinometry (TcB) bilirubin level cut-off point to predict hyperbilirubinemia at the age of 48 hours for Group I.
| TcB level cut-off
| Group I | |||||
|---|---|---|---|---|---|---|
| Sn (%) | Sp (%) | PPV (%) | NPV (%) | LR | ||
| 12 hours
| 2.35 | 79.2 | 71.4 | 82.60 | 66.67 | 2.78 |
| 24 hours
| 4.5 | 87.5 | 64.3 | 80.77 | 64.26 | 2.45 |
†Receiver operative characteristic curve analysis was used. Sn: sensitivity; Sp: specificity; PPV: positive predictive value; NPV: negative predictive value; LR: likelihood ratio.
TcB bilirubin level cut-off point to predict hyperbilirubinemia at the age of 48 hours for Group II.
| TcB level cut-off
| Group II | |||||
|---|---|---|---|---|---|---|
| Sn (%) | Sp (%) | PPV (%) | NPV (%) | LR | ||
| 12 hours
| 3.05 | 66.7 | 66.7 | 47.62 | 81.48 | 2.00 |
| 24 hours
| 5.85 | 80 | 63.6 | 50.00 | 87.50 | 2.19 |
†Receiver operative characteristic curve analysis was used. Sn: sensitivity; Sp: specificity; PPV: positive predictive value; NPV: negative predictive value; LR: likelihood ratio.
Figure 3. Transcutaneous bilirubinometry (TcB) level to predict hyperbilirubinemia at the age of 72 hours.
( a) Receiver operating characteristic (ROC) curve for TcB at the age of 12 hours to predict hyperbilirubinemia at the age of 72 hours for Group II. ( b) ROC curve for TcB at the age of 24 hours to predict hyperbilirubinemia at the age of 72 hours for Group II. ( c) ROC curve for TcB at the age of 48 hours to predict hyperbilirubinemia at the age of 72 hours for Group II.
TcB bilirubin level cut-off point to predict hyperbilirubinemia at the age of 72 hours for Group II.
| TcB level cut-off
| Group II | |||||
|---|---|---|---|---|---|---|
| Sn (%) | Sp (%) | PPV (%) | NPV (%) | LR | ||
| 12 hours old | 2.65 | 60 | 46 | 75.00 | 30.00 | 1.11 |
| 24 hours old | 5.15 | 74.3 | 76.9 | 89.66 | 52.63 | 3.22 |
| 48 hours old | 8.65 | 67.6 | 61 | 82.75 | 42.10 | 1.78 |
†Receiver operative characteristic curve analysis was used. Sn: sensitivity; Sp: specificity; PPV: positive predictive value; NPV: negative predictive value; LR: likelihood ratio.