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American Academy of Pediatrics
Article

Predicting Nonhemolytic Neonatal Hyperbilirubinemia

Mikael Norman, Katarina Åberg, Karin Holmsten, Vania Weibel and Cecilia Ekéus
Pediatrics November 2015, peds.2015-2001; DOI: https://doi.org/10.1542/peds.2015-2001
Mikael Norman
Divisions of Pediatrics, Department of Clinical Science, Intervention and Technology,Department of Neonatal Medicine, Karolinska University Hospital, Stockholm, Sweden; and
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Katarina Åberg
Reproductive Health, Department of Women’s and Children’s Health, Karolinska Institutet, Stockholm, Sweden and
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Karin Holmsten
IVF Clinic Umeå, IVF Sweden AB, Umeå, Sweden
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Vania Weibel
Department of Obstetrics and Gynecology,
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Cecilia Ekéus
Reproductive Health, Department of Women’s and Children’s Health, Karolinska Institutet, Stockholm, Sweden and
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Abstract

BACKGROUND: Before hospital discharge, newborn infants should be assessed for the risk of excessive hyperbilirubinemia. We determined maternal and obstetric risk factors for hyperbilirubinemia in infants born at term (gestational age ≥37 weeks) to form an individualized risk assessment tool for clinical use.

METHODS: This was a population-based study with data from the Swedish Medical Birth Register from 1999 to 2012, including 1 261 948 singleton infants. Outcome was defined as infants diagnosed with hyperbilirubinemia (N = 23 711), excluding all cases of hemolytic (immune-mediated or other specified hemolytic) diseases of the newborn.

RESULTS: Risk factors with an adjusted odds ratio (aOR) for neonatal hyperbilirubinemia of ≥1.5 (medium-sized effect or more) were gestational age 37 to 38 weeks (aOR = 2.83), failed vacuum extraction (aOR = 2.79), vacuum extraction (aOR = 2.22), Asian mother (aOR = 2.09), primipara (aOR = 2.06), large-for-gestational-age infant (aOR = 1.84), obese mother (aOR = 1.83), and small-for-gestational-age infant (aOR = 1.66). Planned cesarean delivery (CD) was associated with a reduced risk (aOR = 0.45). Without any of these risk factors (normal birth weight infant delivered vaginally at 39 to 41 weeks’ gestation by a non-Asian, nonobese, multiparous mother) the rate of nonhemolytic neonatal hyperbilirubinemia was 0.7%. In relation to the combined load of different risk factors, rates of neonatal hyperbilirubinemia ranged from 0.2% to 25%.

CONCLUSIONS: Collection of a few easily available maternal and obstetric risk factors predicts >100-fold variation in the incidence of neonatal hyperbilirubinemia. The information provided herein enables individualized risk prediction with interactions between different risk factors taken into account.

  • Abbreviations:
    AAP —
    American Academy of Pediatrics
    aOR —
    adjusted odds ratio
    CD —
    cesarean delivery
    GA —
    gestational age
    ICD-10 —
    International Classification of Diseases, 10th Revision
    LGA —
    large for gestational age
    OR —
    odds ratio
    SGA —
    small for gestational age
    VE —
    vacuum extraction
  • What’s Known on This Subject:

    The American Academy of Pediatrics recommends that every newborn should be assessed for the risk of developing severe hyperbilirubinemia before hospital discharge. However, currently listed risk factors for neonatal hyperbilirubinemia are based on old and small studies.

    What This Study Adds:

    This large, population-based study enables individualized hyperbilirubinemia prediction, taking interactions between different (known and new) risk factors into account. Collection of a few easily available maternal and obstetric risk factors predicts >100-fold variation in the incidence of neonatal hyperbilirubinemia.

    Newborn infants often develop transient hyperbilirubinemia that requires no treatment, that is, physiologic jaundice.1–3 In some infants, also in the absence of hemolytic or other diseases, there is a more pronounced imbalance between bilirubin production and excretion, resulting in excessive bilirubin levels.3,4 High levels of unconjugated bilirubin could be associated with brain dysfunction and even permanent brain damage, known as kernicterus.5,6

    In light of the recurrence of kernicterus in healthy term infants,7–9 prediction and early detection of infants at risk have received high priority. Different guidelines and approaches8–16 have been issued, among which that of the American Academy of Pediatrics (AAP)17 is the most commonly used worldwide. This guideline was based on a comprehensive literature review by the US Department of Health and Human Services’ Agency for Health Care Research and Quality, New England Medical Center Evidence-Based Practice Center.18 The AAP guideline recommends that every newborn, particularly those who are discharged from hospital before the age of 72 hours, should be assessed for the risk of developing severe hyperbilirubinemia.17 Besides blood group determinations and neonatal bilirubin measurements, collecting information on common risk factors most frequently associated with an increase in the risk of severe hyperbilirubinemia is stated as an important part of the predischarge assessment. However, the listed17 maternal and obstetric risk factors for neonatal hyperbilirubinemia are based on studies executed in the 1970 to 1990s,12,19–22 with limited numbers of patients (24–127) with hyperbilirubinemia.12,19,20,22 Different cutoff values for hyperbilirubinemia were also used, ranging from what could be considered physiologic (maximum serum bilirubin >12.9 mg/dL or >219 µmol/L)21 to dangerously high levels (maximum serum bilirubin >25 mg/dL or >425 µmol/L).12 Therefore, current best available knowledge is limited by imprecise estimates of size and direction of significant risk factors. In addition, recommendations based on older data may not take recent changes in the reproductive epidemiology landscape, mainly increased maternal age,23 BMI,24 and rates of operative deliveries,25 into account. Finally, there is no previous study with sufficient power to disentangle interactions between different risk factors, which is necessary for individualized risk prediction.

    To form a robust and contemporary risk assessment tool targeting hyperbilirubinemia prediction, we performed a large population-based cohort study. The aim was to identify and characterize selective contributions of maternal and obstetric risk factors in 23 711 term newborn, singleton infants treated for nonhemolytic neonatal hyperbilirubinemia.

    Methods

    Study Population

    This study was based on data from the Swedish Medical Birth Register from 1999 to 2012. During this period, there were 1 330 421 deliveries in Sweden. We included all live-born, singleton infants in a nonbreech presentation at birth, born at ≥37 weeks + 0 days (n = 1 261 948). Forceps was rarely used (3.3 per 1000 births), and births by forceps were therefore excluded. Because of a completely different risk factor profile for hemolytic hyperbilirubinemia, we also excluded infants who were diagnosed according to the International Classification of Diseases, 10th Revision (ICD-10, from 1997 and onward) with the codes P55 (hemolytic disease of fetus and newborn, n = 6464) and P56 (hydrops fetalis due to hemolytic disease, n = 16). Finally, we excluded cases with a diagnosis of kernicterus (ICD-10 code P57, n = 26) because the registry did not provide data on the underlying cause (hemolytic or nonhemolytic hyperbilirubinemia) in 22 out of 26 of these cases. The study was approved by the Regional Ethical Review Board in Stockholm (Dnr 2008/1322-31).

    Risk Factors or Exposures

    Maternal risk factors or covariates included maternal country of birth (Sweden, Asia, or other), maternal age, weight, height, BMI, parity, and diabetes mellitus (ICD-10 code O24.0-9). BMI was calculated from measured height and weight, obtained from the first antenatal care visit at 8 to 10 gestational weeks, and categorized according to the World Health Organization as underweight (BMI <18.5 kg), normal (BMI 18.5–24.9), overweight (BMI 25–29.9), or obese (BMI ≥30.0). Obstetric risk factors or covariates included induction of labor; mode of delivery, characterized as spontaneous vaginal delivery, planned or emergency CD, vacuum extraction (VE), or CD after a trial of vacuum extraction (VE + CD); and gestational age (GA). Infant characteristics known immediately after birth, such as gender, birth weight, and large for GA (LGA) or small for GA (SGA) were also included in the analyses. LGA was defined as a birth weight >2 SD above and SGA was defined as a birth weight >2 SD below the mean for GA and gender in a Swedish reference for normal fetal growth.26

    Outcome

    The outcome variable, neonatal hyperbilirubinemia, was classified according to the ICD-10 codes P58 (neonatal jaundice due to other excessive hemolysis) and P59 (neonatal jaundice from other unspecified causes). In Sweden, newborn infants received a diagnosis of neonatal hyperbilirubinemia only if they were admitted for neonatal care, before or after discharge and up to a postnatal age of 28 days, and were actively treated with phototherapy or exchange transfusion to reduce serum bilirubin levels. The cutoff values for treatment have been formulated in national guidelines, the most recent version being from 2008.27 According to these guidelines, the maximum serum bilirubin tolerated without initiation of bilirubin-reducing treatment in term newborn infants was 20 mg/dL (corresponding to 340 µmol/L) before 2008 and 20.6 mg/dL (350 µmol/L) from 2008 and onward.

    Statistical Methods

    We performed statistical analysis by using SPSS 20.0 (IBM SPSS Statistics, IBM Corporation). Descriptive statistics (numbers, frequencies, and proportions) were used to describe the distributions within the study population. Logistic regression analyses were used to calculate odds ratios (ORs) with 95% confidence intervals, first in bivariate analyses, followed by multiple logistic regression including all risk factors. The data were then stratified for GA, and the proportions of infants with neonatal hyperbilirubinemia with 1 or different combinations of clinically relevant maternal or obstetric risk factors, defined as an adjusted OR (aOR) ≥1.5 or ≤0.5 (medium-sized or larger effects), were calculated.

    Results

    Altogether, 1.88% (n = 23 711) of term infants in the study cohort received a diagnosis of nonhemolytic (no immune-mediated or no diagnosis of specific hemolytic disease) neonatal hyperbilirubinemia. The distributions of different risk factors in the study population in relation to neonatal hyperbilirubinemia are shown in Table 1.

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    TABLE 1

    Incidence, Crude and Adjusted ORs for Nonhemolytic, Neonatal Hyperbilirubinemia by Maternal and Obstetric Risk Factors, and Infant Anthropometry at Birth

    In the adjusted analyses, maternal factors associated with increased risk for neonatal hyperbilirubinemia were Asian mother, maternal age ≥30 years, maternal overweight and obesity, and maternal diabetes. Maternal age <20 years was associated with a decreased risk for neonatal hyperbilirubinemia.

    Obstetric factors associated with an increased risk for neonatal hyperbilirubinemia included primiparity, induction of labor, delivery by VE, and delivery at 37 to 38 weeks’ gestation, whereas CD, both emergency and elective, and GA >41 weeks were associated with reduced risks. Boys were more often diagnosed than girls, and neonatal hyperbilirubinemia was more common in SGA and LGA infants compared with infants whose birth weight was appropriate for GA.

    Risk factors with an aOR for neonatal hyperbilirubinemia of ≥1.5 (medium-sized or larger effects), in order from highest to lowest aOR, were GA 37 to 38 weeks, failed VE, VE, Asian mother, primiparous mother, LGA infant, obese mother, SGA infant, and induction of labor. The only risk factor with an aOR <0.5 was planned CD (Table 1).

    Without any risk factor (infant birth weight appropriate for GA, delivered vaginally without induction of labor at 39 to 41 weeks’ gestation and by a non-Asian, nonobese, multiparous mother), the rate of nonhemolytic neonatal hyperbilirubinemia was 0.7%. The highest incidence for hyperbilirubinemia was seen in infants delivered at 37 weeks’ gestation with emergency CD after VE had failed (26%), and the lowest incidence was found in infants delivered at 41 weeks’ gestation with planned CD (0.2%).

    Figure 1 uses the identified risk factors to create a sheet targeting individualized prediction of nonhemolytic neonatal hyperbilirubinemia for a given GA and for different modes of delivery. Incidences of neonatal hyperbilirubinemia (percentages) are presented for different combinations of maternal and obstetric factors identified to be clinically relevant (to have a medium-sized or larger effect) for the risk of developing significant neonatal hyperbilirubinemia in need of treatment. Neonatal hyperbilirubinemia was classified as very common if >10% infants had been diagnosed (very high risk, depicted in dark red in Figure 1), common if 5% to 10% were diagnosed (high risk for hyperbilirubinemia, red), less common if >1% but <5% were diagnosed (moderate risk, yellow), or rare if ≤1% had been diagnosed with neonatal hyperbilirubinemia (low risk, green).

    FIGURE 1
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    FIGURE 1

    Risk factor sheet targeting prediction of nonhemolytic hyperbilirubinemia in term newborn infants. Each colored cell contains the incidence (%) of neonatal hyperbilirubinemia for different combinations of maternal and obstetric risk factors based on a cohort of 1 261 948 infants with 23 711 patients. The incidence of neonatal hyperbilirubinemia was classified as very high if >10% (dark red), high if 5%–10% (red), moderate if >1% but <5% (yellow), or low if ≤1% infants developed hyperbilirubinemia after birth (green).

    Discussion

    This study provides solid and contemporary estimates of neonatal hyperbilirubinemia in term newborn infants in relation to a set of perinatal risk factors. Our main finding was that a simple collection of common maternal and obstetric risk factors, as well as infant birth weight, predicted >100-fold variation in the incidence of neonatal hyperbilirubinemia already at birth. By disentangling the selective contributions from these risk factors, predictions of hyperbilirubinemia specific for GA and mode of delivery could be constructed for a given maternal ethnicity, BMI, and parity and for birth weight. This new information enables individualized risk prediction in developed health care systems, and perhaps in clinical setting with limited or no resources for blood type or bilirubin screening programs, if the bilirubin epidemiology in these settings is similar to that of Sweden.

    We found that 1.9% of term infants in Sweden were treated for neonatal nonimmune hyperbilirubinemia. Given that national Swedish guidelines recommend starting treatment at a total serum bilirubin level >20.6 mg/dL (>350 µmol/L) in infants born at ≥37 weeks’ gestation and without other complicating morbidity,27 our findings are in line with US data suggesting that a total serum bilirubin level of ≥20 mg/dL (≥342 μmol/L) is seen in ∼1% to 2% of infants born at a GA of ≥35 weeks.12,28

    The risk factors for development of severe hyperbilirubinemia identified herein add new knowledge to current standards. In the AAP guidelines from 2004, a GA of 35 to 36 weeks was identified as a major risk factor for severe hyperbilirubinemia, whereas a GA of 37 to 38 weeks was listed as a minor risk factor.17 In the update from 2009,29 infants born after 35 to 37 weeks were characterized as being at increased risk for severe hyperbilirubinemia. However, infants born at 38 weeks’ gestation were categorized as low-risk infants,29 possibly because of observations (n = 48 patients treated for hyperbilirubinemia) of no significant difference in rates of hyperbilirubinemia between infants born at 38 to 39 weeks and infants born at ≥40 weeks’ gestation.30 Our study confirms several smaller (n = 73–270 patients) US studies12,31–33 documenting an impact of each decreasing week of gestation on the risk of developing severe hyperbilirubinemia. Given that infants born not only after 37 but also after 38 weeks’ gestation were, in most combinations of other perinatal risk factors, found to be at moderate to high risk for hyperbilirubinemia (Figure 1), we suggest that a GA of 38 weeks should be listed as a major risk factor in coming updates of neonatal hyperbilirubinemia guidelines.

    Whereas the previously known risks associated with a cephalohematoma, probably in the causal pathway of the association between VE and hyperbilirubinemia, and with an East Asian mother could be confirmed, our findings suggest that maternal obesity, primiparity, and LGA (also identified by Newman et al12) and SGA infants should be added to the list of major risk factors.17 In line with AAP recommendations, maternal diabetes and infant male gender were associated with increased risks, but the effect sizes were small. And we could not find support for the recommendation that advanced maternal age (defined in AAP guidelines as ≥25 years) is a risk factor for neonatal hyperbilirubinemia:17 although maternal age ≥30 years was significantly associated with hyperbilirubinemia in our study, the effect size (aOR = 1.05) was very small and without clinical significance. Finally, the evidence behind the recommendation that GA ≥41 weeks is associated with a decreased risk for hyperbilirubinemia17 was only partially supported in our study. In Asian women and in SGA infants delivered with VE, the risk for significant hyperbilirubinemia remained high to very high across the GA range, underlining the need to take interactions between different risk factors into account.

    Even though a majority of infants in our study did not reach a bilirubin level that necessitated treatment, a >10% incidence of the need for acute treatment within hours or days to detect and prevent a potentially disabling disease is very high (depicted dark red in Figure 1). By convention, side effects from drugs are classified as very common (≥10%), common (≥1%, <10%), and less common (≥0.1%, <1%). We used a slightly more conservative classification.

    Today, most infants born at term will have their peak bilirubin concentration after discharge from hospital, and hyperbilirubinemia has become one of the most common reasons for readmission to hospital in the neonatal period.22 The problem is not readmission per se; given that hyperbilirubinemia peaks at home after early discharge from hospital, increased readmission rates are expected in a health care system focused on patient safety. The concern is that some readmitted infants have been reported to exhibit dangerously elevated bilirubin levels, >25 mg/dL (>425 µmol/L).34 This development calls for an even more thorough predischarge risk assessment of all newborn infants. Knowledge about maternal and obstetric risk factors is an important part of such an assessment, and the use of checklists may be helpful.10,17 An individualized score sheet available at birth, as suggested herein, may take hyperbilirubinemia risk assessment several steps forward in terms of accuracy of risk prediction. Such an individualized risk prediction can be useful for parental counseling, planning of optimal timing for hospital discharge and follow-up visits, and timing of bilirubin determinations, before and after hospital discharge.

    Besides the risk factors studied herein, a history of older sibling with neonatal hyperbilirubinemia (especially if intervention was needed), a family history of hemolytic disease, and maternal blood group (information not available in the Swedish Medical Birth Registry) will add important information to the overall risk assessment at birth.

    Most of the newborn infants diagnosed with hyperbilirubinemia in our study (and not mediated by hemolytic disease) will have been treated with phototherapy. As judged from our data, phototherapy to reduce bilirubin appears to be more frequently used in the United States35 and other countries36 than in Sweden. Besides our exclusion of hemolytic diseases and late preterm infants, higher rates of phototherapy may be explained by lower bilirubin thresholds for initiating treatment in other countries than in Sweden.17,27 Population differences in the distribution of some maternal and obstetric risk factors, such as ethnicity (2.4% of mothers in our study had an Asian origin vs 6.7% of all births in the United States37), overweight and obesity (21% of the women in our study vs >50% in the United States38), and rates of delivery in weeks 37 to 38 (19% among term deliveries in our study vs 28% among term deliveries in the United States37), may also contribute to the explanation of higher rates of phototherapy in the United States than in Sweden. In addition, the risk of neonatal hyperbilirubinemia is affected by postnatal management. The most important management issue relates to feeding practices. In Sweden, all women are instructed and encouraged to breastfeed their infants. Early and frequent breastfeeding decreases the risk, whereas inadequate breastfeeding can contribute to severe hyperbilirubinemia.15

    We excluded patients with hemolytic hyperbilirubinemia because we assumed that they would have a different risk factor profile (determined mainly from maternal and fetal blood groups) than infants with nonhemolytic hyperbilirubinemia. We also excluded patients with a registry diagnosis of kernicterus because the registry did not provide data on the underlying cause (hemolytic or nonhemolytic hyperbilirubinemia) in most cases and because we did not have access to any case records to validate the kernicterus diagnoses. Nevertheless, in the database, 26 term newborn infants had received a diagnosis of kernicterus, giving a crude estimation of the kernicterus incidence of 26 out of 1 261 974, or 20.6 infants per million. Although not the aim of this study, we note with great concern that our crudely estimated incidence is high compared with estimates of kernicterus in term infants reported previously.7,14,39 Our observation warrants additional validation of the kernicterus diagnosis in the Swedish Medical Birth Register and more information on background, clinical course, and outcome in these patients.

    Exclusion of the patients with registry diagnosis kernicterus does not invalidate the results or interpretations of this study. The patients diagnosed with kernicterus constituted a minute fraction of the whole cohort treated for hyperbilirubinemia, and there is no obvious reason to anticipate that the maternal and obstetric risk factor profile for patients with kernicterus should differ from that of the included patients (all treated for severe hyperbilirubinemia and at risk for kernicterus). Applying the prediction sheet created herein (Figure 1) to the 3 excluded infants documented in the birth registry with a diagnosis of kernicterus and nonhemolytic hyperbilirubinemia would have categorized all 3 of them at birth as being at moderate risk (incidence >1% but <5%) for developing postnatal hyperbilirubinemia in need of treatment. This observation has several important implications. First, it shows that prediction of a nonexisting risk for kernicterus cannot be made. Second, one has to keep in mind that our grading of predicted incidences of severe hyperbilirubinemia, from low to very high, is not a grading of the severity of hyperbilirubinemia, once this complication has occurred. Third, this observation clearly indicates that a clinical risk assessment at birth, based on the maternal and obstetric risk factors studied herein or on other sources of information, can never be foolproof alone. Successful hyperbilirubinemia prediction and kernicterus prevention build on a system approach in which accurate risk assessment immediately after birth could serve as a good starting point that must be combined with other actions in the neonatal period. Finally, our study design, including a large (>20 million of data points) registry database, can be a valuable tool for creating precise risk factor estimates for as accurate prediction as possible. But it is unsuitable for analysis of rare and serious adverse events such as kernicterus; our data set did not provide information on the postnatal course of the infants with kernicterus, on the duration of their hospital stay, on how follow-up was organized and executed, whether these infants suffered from additional significant neonatal morbidity (besides severe hyperbilirubinemia) before or after discharge from the hospital, and whether kernicterus in these patients represented a system failure or occurred despite proper detection and treatment of hyperbilirubinemia.

    The major strengths of this study are the large study population and the high quality of the Swedish Medical Birth Register (98% of all pregnant women in Sweden included). The size of the sample (23 711 cases of hyperbilirubinemia) played a crucial role in avoiding errors, in estimating effect size and significant interactions between different risk factors, that may occur in smaller studies or by intuitive prediction based on case series. The major limitation is that the register lacks information on important covariates such as family or sibling history of neonatal hyperbilirubinemia, blood group, number and duration of tractions using VE, and bruising. In addition, we do not have information on neonatal outcomes such as maximal serum bilirubin levels and clinical picture.

    Finally, the proposed sheet of hyperbilirubinemia prediction based on risk factors should optimally be cross-validated, assessing how the results of our study would generalize to an independent data set or in other settings. Unfortunately, other Swedish population-based registers do not contain the set of risk factors studied herein, excluding the possibility of validation using other Swedish data sets. We see 2 possibilities for future validation: to perform a similar study to ours using a sufficiently large data set generated in another country or population or to use the proposed prediction sheet and prospectively study to what extent the prediction of significant hyperbilirubinemia mirrors the outcome.

    Conclusions

    Collection of a few easily available maternal and obstetric risk factors predicts >100-fold variation in the incidence of neonatal hyperbilirubinemia. While confirming part of the evidence derived from older and smaller studies, this study challenges some other currently listed risk factors for neonatal hyperbilirubinemia. We suggest that a GA of 38 weeks, maternal obesity, primiparity, and LGA and SGA infants should be added and that maternal age ≥25 years should be excluded from the list of major risk factors for neonatal hyperbilirubinemia. The risk factors identified and quantified herein enable simple and individualized risk prediction immediately after birth. Such assessment may be a good starting point for parental counseling and for professional decision-making on additional management in the neonatal period, targeting early detection of severe hyperbilirubinemia and thereby effective prevention of kernicterus.

    Footnotes

      • Accepted September 1, 2015.
    • Address correspondence to Mikael Norman, MD, PhD, Department of Neonatal Medicine K78, Karolinska Institutet & University Hospital, SE-141 86 Stockholm, Sweden. E-mail: mikael.norman{at}ki.se
    • Dr Norman conceptualized and designed the study, participated in data analyses, and drafted the initial manuscript; Ms Åberg, Ms Holmsten, and Ms Weibel participated in creating the database, carried out the initial analyses, and reviewed and revised the manuscript; Dr Ekéus participated in the study design, compiled and managed the database, coordinated and supervised data analyses, and critically reviewed the manuscript; and all authors approved the final manuscript as submitted.

    • FINANCIAL DISCLOSURE: The authors have indicated they have no financial relationships relevant to this article to disclose.

    • FUNDING: Supported through a regional agreement on medical training and clinical research (ALF) between Stockholm County Council and Karolinska Institutet.

    • POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose.

    References

    1. ↵
      1. Dennery PA,
      2. Seidman DS,
      3. Stevenson DK
      . Neonatal hyperbilirubinemia. N Engl J Med. 2001;344(8):581–590pmid:11207355
      OpenUrlCrossRefPubMed
      1. Dennery PA,
      2. Weng YH,
      3. Stevenson DK,
      4. Yang G
      . The biology of bilirubin production. J Perinatol. 2001;21(suppl 1):S17–20; discussion S35–19
      OpenUrlCrossRefPubMed
    2. ↵
      1. Kaplan M,
      2. Muraca M,
      3. Hammerman C, et al
      . Imbalance between production and conjugation of bilirubin: a fundamental concept in the mechanism of neonatal jaundice. Pediatrics. 2002;110(4). Available at: www.pediatrics.org/cgi/content/full/110/4/e47pmid:12359820
      OpenUrlAbstract/FREE Full Text
    3. ↵
      1. Stevenson DK,
      2. Dennery PA,
      3. Hintz SR
      . Understanding newborn jaundice. J Perinatol. 2001;21(suppl 1):S21–24; discussion S35–29
      OpenUrlCrossRefPubMed
    4. ↵
      1. Ip S,
      2. Lau J,
      3. Chung M, et al
      . Hyperbilirubinemia and kernicterus: 50 years later. Pediatrics. 2004;114(1):263–264pmid:15231941
      OpenUrlFREE Full Text
    5. ↵
      1. Newman TB,
      2. Liljestrand P,
      3. Jeremy RJ, et al, ; Jaundice and Infant Feeding Study Team
      . Outcomes among newborns with total serum bilirubin levels of 25 mg per deciliter or more. N Engl J Med. 2006;354(18):1889–1900pmid:16672700
      OpenUrlCrossRefPubMed
    6. ↵
      1. Ebbesen F
      . Recurrence of kernicterus in term and near-term infants in Denmark. Acta Paediatr. 2000;89(10):1213–1217pmid:11083378
      OpenUrlCrossRefPubMed
    7. ↵
      1. Ip S,
      2. Chung M,
      3. Kulig J, et al, ; American Academy of Pediatrics Subcommittee on Hyperbilirubinemia
      . An evidence-based review of important issues concerning neonatal hyperbilirubinemia. Pediatrics. 2004;114(1). Available at: www.pediatrics.org/cgi/content/full/114/1/e130pmid:15231986
      OpenUrlAbstract/FREE Full Text
    8. ↵
      1. Johnson LH,
      2. Bhutani VK,
      3. Brown AK
      . System-based approach to management of neonatal jaundice and prevention of kernicterus. J Pediatr. 2002;140(4):396–403pmid:12006952
      OpenUrlCrossRefPubMed
    9. ↵
      1. Bhutani VK,
      2. Maisels MJ,
      3. Stark AR,
      4. Buonocore G, Expert Committee for Severe Neonatal Hyperbilirubinemia, European Society for Pediatric Research, American Academy of Pediatrics
      . Management of jaundice and prevention of severe neonatal hyperbilirubinemia in infants > or =35 weeks gestation. Neonatology. 2008;94(1):63–67pmid:18204221
      OpenUrlCrossRefPubMed
      1. Keren R,
      2. Bhutani VK,
      3. Luan X,
      4. Nihtianova S,
      5. Cnaan A,
      6. Schwartz JS
      . Identifying newborns at risk of significant hyperbilirubinaemia: a comparison of two recommended approaches. Arch Dis Child. 2005;90(4):415–421pmid:15781937
      OpenUrlAbstract/FREE Full Text
    10. ↵
      1. Newman TB,
      2. Xiong B,
      3. Gonzales VM,
      4. Escobar GJ
      . Prediction and prevention of extreme neonatal hyperbilirubinemia in a mature health maintenance organization. Arch Pediatr Adolesc Med. 2000;154(11):1140–1147pmid:11074857
      OpenUrlCrossRefPubMed
      1. Schwartz HP,
      2. Haberman BE,
      3. Ruddy RM
      . Hyperbilirubinemia: current guidelines and emerging therapies. Pediatr Emerg Care. 2011;27(9):884–889pmid:21926893
      OpenUrlCrossRefPubMed
    11. ↵
      1. Smitherman H,
      2. Stark AR,
      3. Bhutani VK
      . Early recognition of neonatal hyperbilirubinemia and its emergent management. Semin Fetal Neonatal Med. 2006;11(3):214–224pmid:16603425
      OpenUrlCrossRefPubMed
    12. ↵
      1. Stark AR,
      2. Lannon CM
      . Systems changes to prevent severe hyperbilirubinemia and promote breastfeeding: pilot approaches. J Perinatol. 2009;29(suppl 1):S53–57
      OpenUrlCrossRefPubMed
    13. ↵
      1. Stevenson DK,
      2. Fanaroff AA,
      3. Maisels MJ, et al.
      Prediction of hyperbilirubinemia in near-term and term infants. J Perinatol. 2001;21(suppl 1):S63–72; discussion S83–67
      OpenUrlCrossRefPubMed
    14. ↵
      1. American Academy of Pediatrics Subcommittee on Hyperbilirubinemia
      . Management of hyperbilirubinemia in the newborn infant 35 or more weeks of gestation. Pediatrics. 2004;114(1):297–316pmid:15231951
      OpenUrlAbstract/FREE Full Text
    15. ↵
      Ip S, Glicken S, Kulig J, Obrien R, Sege R, Lau J. Management of Neonatal Hyperbilirubinemia. Pub 03-E011. Rockville, MD: US Department of Health and Human Services, Agency for Healthcare Research and Quality; 2003
    16. ↵
      1. Berk MA,
      2. Mimouni F,
      3. Miodovnik M,
      4. Hertzberg V,
      5. Valuck J
      . Macrosomia in infants of insulin-dependent diabetic mothers. Pediatrics. 1989;83(6):1029–1034pmid:2726329
      OpenUrlAbstract/FREE Full Text
    17. ↵
      1. Peevy KJ,
      2. Landaw SA,
      3. Gross SJ
      . Hyperbilirubinemia in infants of diabetic mothers. Pediatrics. 1980;66(3):417–419pmid:7422431
      OpenUrlAbstract/FREE Full Text
    18. ↵
      1. Gale R,
      2. Seidman DS,
      3. Dollberg S,
      4. Stevenson DK
      . Epidemiology of neonatal jaundice in the Jerusalem population. J Pediatr Gastroenterol Nutr. 1990;10(1):82–86pmid:2324884
      OpenUrlCrossRefPubMed
    19. ↵
      1. Maisels MJ,
      2. Kring E
      . Length of stay, jaundice, and hospital readmission. Pediatrics. 1998;101(6):995–998pmid:9606225
      OpenUrlAbstract/FREE Full Text
    20. ↵
      1. Laopaiboon M,
      2. Lumbiganon P,
      3. Intarut N, et al, ; WHO Multicountry Survey on Maternal Newborn Health Research Network
      . Advanced maternal age and pregnancy outcomes: a multicountry assessment. BJOG. 2014;121(suppl 1):49–56pmid:24641535
      OpenUrlCrossRefPubMed
    21. ↵
      1. Scott-Pillai R,
      2. Spence D,
      3. Cardwell CR,
      4. Hunter A,
      5. Holmes VA
      . The impact of body mass index on maternal and neonatal outcomes: a retrospective study in a UK obstetric population, 2004–2011. BJOG. 2013;120(8):932–939pmid:23530609
      OpenUrlCrossRefPubMed
    22. ↵
      OECD. Caesarean sections. In: Health at a Glance 2013: OECD Indicators. Paris, France: OECD Publishing; 2013. Available at: http://dx.doi.org/10.1787/health_glance-2013-en
    23. ↵
      1. Marsál K,
      2. Persson PH,
      3. Larsen T,
      4. Lilja H,
      5. Selbing A,
      6. Sultan B
      . Intrauterine growth curves based on ultrasonically estimated foetal weights. Acta Paediatr. 1996;85(7):843–848pmid:8819552
      OpenUrlCrossRefPubMed
    24. ↵
      Norman M, Karlsson H, Sarman I, Engberg S, Ewald U. Vårdprogram: neonatal hyperbilirubinemi (Swedish guideline for neonatal hyperbillrubinemia, bilirubin chart for term infants). 2008 Available at: http://neoforeningen.se/dokument/vardprogram/hyperbili_kurva_2008.pdf
    25. ↵
      1. Eggert LD,
      2. Wiedmeier SE,
      3. Wilson J,
      4. Christensen RD
      . The effect of instituting a prehospital-discharge newborn bilirubin screening program in an 18-hospital health system. Pediatrics. 2006;117(5). Available at: www.pediatrics.org/cgi/content/full/117/5/e855pmid:16651290
      OpenUrlAbstract/FREE Full Text
    26. ↵
      1. Maisels MJ,
      2. Bhutani VK,
      3. Bogen D,
      4. Newman TB,
      5. Stark AR,
      6. Watchko JF
      . Hyperbilirubinemia in the newborn infant > or =35 weeks’ gestation: an update with clarifications. Pediatrics. 2009;124(4):1193–1198pmid:19786452
      OpenUrlFREE Full Text
    27. ↵
      1. Keren R,
      2. Luan X,
      3. Friedman S,
      4. Saddlemire S,
      5. Cnaan A,
      6. Bhutani VK
      . A comparison of alternative risk-assessment strategies for predicting significant neonatal hyperbilirubinemia in term and near-term infants. Pediatrics. 2008;121(1). Available at: www.pediatrics.org/cgi/content/full/121/1/e170pmid:18166536
      OpenUrlAbstract/FREE Full Text
    28. ↵
      1. Newman TB,
      2. Liljestrand P,
      3. Escobar GJ
      . Combining clinical risk factors with serum bilirubin levels to predict hyperbilirubinemia in newborns. Arch Pediatr Adolesc Med. 2005;159(2):113–119pmid:15699303
      OpenUrlCrossRefPubMed
      1. Maisels MJ,
      2. Deridder JM,
      3. Kring EA,
      4. Balasubramaniam M
      . Routine transcutaneous bilirubin measurements combined with clinical risk factors improve the prediction of subsequent hyperbilirubinemia. J Perinatol. 2009;29(9):612–617pmid:19421200
      OpenUrlCrossRefPubMed
    29. ↵
      1. Bhutani VK,
      2. Stark AR,
      3. Lazzeroni LC, et al, ; Initial Clinical Testing Evaluation and Risk Assessment for Universal Screening for Hyperbilirubinemia Study Group
      . Predischarge screening for severe neonatal hyperbilirubinemia identifies infants who need phototherapy. J Pediatr. 2013;162(3):477–482.e1pmid:23043681
      OpenUrlCrossRefPubMed
    30. ↵
      1. Sgro M,
      2. Campbell D,
      3. Shah V
      . Incidence and causes of severe neonatal hyperbilirubinemia in Canada. CMAJ. 2006;175(6):587–590
      OpenUrlAbstract/FREE Full Text
    31. ↵
      1. Maisels MJ,
      2. McDonagh AF
      . Phototherapy for neonatal jaundice. N Engl J Med. 2008;358(9):920–928pmid:18305267
      OpenUrlCrossRefPubMed
    32. ↵
      1. Hansen TW
      . Therapeutic approaches to neonatal jaundice: an international survey. Clin Pediatr (Phila). 1996;35(6):309–316pmid:8782955
      OpenUrlAbstract/FREE Full Text
    33. ↵
      Martin JA, Hamilton BE, Osterman MJK, et al. Births: Final Data for 2013. National Vital Statistics Reports 64(1). Hyattsville, MD: National Center for Health Statistics; 2015. Available at: www.cdc.gov/nchs/data/nvsr/nvsr64/nvsr64_01.pdf
    34. ↵
      1. Flegal KM,
      2. Carroll MD,
      3. Kit BK,
      4. Ogden CL
      . Prevalence of obesity and trends in the distribution of body mass index among US adults, 1999–2010. JAMA. 2012;307(5):491–497pmid:22253363
      OpenUrlCrossRefPubMed
    35. ↵
      1. Bratlid D,
      2. Nakstad B,
      3. Hansen TW
      . National guidelines for treatment of jaundice in the newborn. Acta Paediatr. 2011;100(4):499–505pmid:21114525
      OpenUrlCrossRefPubMed
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    Predicting Nonhemolytic Neonatal Hyperbilirubinemia
    Mikael Norman, Katarina Åberg, Karin Holmsten, Vania Weibel, Cecilia Ekéus
    Pediatrics Nov 2015, peds.2015-2001; DOI: 10.1542/peds.2015-2001

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    Predicting Nonhemolytic Neonatal Hyperbilirubinemia
    Mikael Norman, Katarina Åberg, Karin Holmsten, Vania Weibel, Cecilia Ekéus
    Pediatrics Nov 2015, peds.2015-2001; DOI: 10.1542/peds.2015-2001
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