OBJECTIVES

To evaluate the trends in hospitalization for neonatal jaundice and its management with phototherapy and exchange transfusion in the United States from 2006 through 2016.

METHODS

Repeated, cross-sectional analysis of the 2006 to 2016 editions of the Kids’ Inpatient Database. All neonatal hospitalizations with an International Classification of Diseases, 9th or 10th Revision, Clinical Modification code for jaundice and admitted at age ≤28 days were included. The outcome measures were changes in the diagnosis of jaundice (expressed as a proportion) and its management over the years.

RESULTS

Among 16 094 653 neonatal hospitalizations from 2006 to 2016, 20.5% were diagnosed with jaundice. While the incidence of jaundice remained stable over the years, 20.9% to 20.5% (P = .1), the proportion with jaundice who received phototherapy increased from 22.5% to 27.0% (P < .0001) between 2006 and 2016. There was no significant change in the exchange transfusion rate per year among neonatal hospitalizations with jaundice.

CONCLUSIONS

While the proportion of newborns with jaundice remained stable between 2006 and 2016, the use of phototherapy significantly increased with no significant change in exchange transfusion rate. The impact of these changes on the prevention of acute bilirubin encephalopathy needs further examination in future studies.

Neonatal jaundice affects >60% of healthy newborns during the first week of life.1  The clinical course is typically mild and transient, resolving spontaneously after 1 to 2 weeks. However, some newborns develop severe hyperbilirubinemia, which can lead to acute bilirubin encephalopathy and permanent neurologic delay.2 

The American Academy of Pediatrics (AAP) published guidelines on the evaluation and treatment of healthy infants born at ≥35 weeks gestational age with hyperbilirubinemia in 1994,3  updated in 2004, and later reaffirmed in 2009, with the goal of reducing the frequency of severe neonatal hyperbilirubinemia and bilirubin encephalopathy.4,5  The recommendations included universal screening and risk-based screening for severe hyperbilirubinemia, prompt intervention with either phototherapy or exchange transfusion (ET) when indicated, and appropriate follow-up based on discharge time and risk assessment.35 

In a population-based study using a nationally representative database, Burke et al found that following the AAP guidelines in 1994, there was an increase in the diagnosis of neonatal jaundice and phototherapy use.6  A retrospective study from California found that universal predischarge bilirubin screening led to a 62% reduction in the incidence of total serum bilirubin levels that exceed the AAP threshold for ET and an increase in phototherapy use but with no impact on the incidence of total serum bilirubin >30 mg/dL.7  Another study from California demonstrated that statewide learning collaboratives that used the 2004 AAP guidelines to manage jaundice led to a decrease in the incidence of extreme hyperbilirubinemia and ET rates between 2007 and 2012.8  These suggest that the AAP guidelines can modify outcomes related to hyperbilirubinemia. The trends in the incidence of neonatal jaundice, phototherapy use, and ET rates in the United States (US) since 2004 have not been explored. The objective of this study was to evaluate the changes over time in hospitalization for neonatal jaundice and its management (phototherapy use and ET) in the US from 2006 through 2016 using nationally representative databases.

Neonates with jaundice were identified from a serial cross sectional analysis of inpatient discharges between 2006 and 2016 using the Healthcare Cost and Utilization Project’s (HCUP) Kids’ Inpatient Database (KID). The KID is one of the largest publicly available all-payer inpatient care databases in the US. This database is part of a family of databases and software tools developed for the HCUP and sponsored by the Agency for Healthcare Research and Quality (AHRQ).9  Inpatient stay records in these databases include clinical and resource use information typically available from discharge abstracts created by hospitals for billing. The KID is available every 3 years and includes pediatric discharges (age 20 or less at admission) from community, nonrehabilitation hospitals in the US. KID is sampled at 10% of uncomplicated in-hospital births and 80% of other pediatric cases.10  The 2016 KID sample has 47 participating member states, 4200 hospitals with pediatric discharges, and almost 6 million weighted pediatric discharges. The HCUP databases have been used to study several newborn conditions.6,11,12 

All neonatal hospitalizations (age at admission ≤28 days) were extracted using the ‘Neomat’ variable, which identifies discharges with neonatal and/or maternal diagnoses and procedures. To prevent double counting, all admission ≤28 days old that were transferred out to other facilities were excluded. Similar methodology has been applied before in other studies.6,11  Neonatal hospitalizations with jaundice were identified using the International Classification of Diseases, Ninth/10th Revision, Clinical Modification (ICD-9/10-CM) codes in the primary or secondary fields (Supplemental Table 3). To reduce errors associated with polycythemia, we excluded those newborns who had both diagnosis code for polycythemia and a procedure code for ET while analyzing rates for ET.6  The Population derivation is shown in Fig 1.

FIGURE 1

Population derivation.

FIGURE 1

Population derivation.

Close modal

We studied baseline characteristics of the study population for potential confounding assessment. Patient level characteristics such as gestational age, sex, race, median household income according to zip code (<$36 000, $36 000 to $44 999, or >$45 000), primary payer (Medicare or Medicaid, private insurance, self-pay, or no charge) and hospital-level characteristics such as hospital location (urban or rural), region (Northeast, Midwest, or North Central, South, and West), and teaching status were studied. Hospital Bed size (small, medium and large) based on hospital beds, and are specific to the hospital’s location and teaching status.13 

Continuous variables were reported as medians with interquartile ranges and categorical variables were reported as proportions with SE. Outcomes of interest were the trends in the proportion of neonatal hospitalizations with jaundice, use of phototherapy and ET use in the management of neonatal jaundice. The use of exchange transfusion was expressed as number of procedures per year and phototherapy use was expressed as the proportion of neonatal hospitalizations with a diagnosis of jaundice that had a procedure code for phototherapy. For trend analysis, Cochran Armitage test for dichotomous dependent variables and Jonckheere-Terpstra test for continuous dependent variables were used. Since length of stay (LOS) was not normally distributed, log transformation was conducted, and survey regression was used.14  Statistical analyses were performed using SAS 9.4 (SAS Institute Inc. Cary, North Carolina). Two-sided P value <.05 was considered significant.

Among 16 094 653 weighted neonatal hospitalizations over the study period, 3 302 129 (20.5%) had a diagnosis of jaundice and 24.7% of those with a diagnosis of jaundice had a procedure code for phototherapy. The demographic and hospital level characteristics of the neonatal hospitalizations with and without diagnostic codes for jaundice are shown in Table 1. There were no significant differences between the 2 groups except that those with jaundice were more likely to be preterm (22.3% vs 4.4%) when compared with those without. As shown in Table 2, there was no significant change in the proportion of neonatal hospitalizations with a diagnosis of neonatal jaundice over time during the study period (20.9% in 2006% to 20.5% in 2016, P = .1).

TABLE 1

Demographic Characteristics of Neonatal Hospitalizations With and Without Diagnostic Codes for Jaundice in the United States, 2006 to 2016

Neonatal Jaundice HospitalizationsNeonatal Hospitalizations Without Jaundice
N = 3 302 129N = 12 792 524
% ± SE% ± SE
Overall 20.5 ± 0.3 79.5 ± 0.3 
Demographics   
 Sex   
  Male 52.6 ± 0.1 50.9 ± 0.01 
  Female 47.4 ± 0.1 49.1 ± 0.01 
 Race or ethnicitya   
  White 56.7 ± 0.5 55.0 ± 0.5 
  Black 13.2 ± 0.3 15.3 ± 0.3 
  Hispanic 22.2 ± 0.5 23.7 ± 0.5 
  Asian or Pacific Islander 7.0 ± 0.2 5.2 ± 0.2 
  Native American 1.0 ± 0.1 0.8 ± 0.01 
 Gestational age   
  Preterm 22.3 ± 0.2 4.4 ± 0.03 
  Term 77.7 ± 0.2 95.6 ± 0.03 
 Median household income category for patient’s zip code (%)   
  0–25th percentile 26.4 ± 0.4 28.4 ± 0.4 
  26–50th percentile 24.5 ± 0.3 25.1 ± 0.2 
  51–75th percentile 24.9 ± 0.2 24.7 ± 0.2 
  76–100th percentile 24.2 ± 0.5 21.8 ± 0.4 
 Primary payer (%)   
  Private 49.6 ± 0.5 46.8 ± 0.4 
  Other 50.4 ± 0.5 53.2 ± 0.4 
Hospital characteristics   
 Hospital bed size (%)   
  Small 11.2 ± 0.4 12.2 ± 0.4 
  Medium 26.0 ± 0.5 26.9 ± 0.4 
  Large 62.9 ± 0.7 60.9 ± 0.5 
 Hospital region   
  Northeast 15.3 ± 0.4 16.5 ± 0.4 
  Midwest 20.9 ± 0.5 21.4 ± 0.4 
  South 40.1 ± 0.7 38.0 ± 0.5 
  West 23.7 ± 0.5 24.2 ± 0.4 
 Hospital location & teaching status (%)   
  Rural 9.5 ± 0.2 11.5 ± 0.2 
  Urban, nonteaching 36.7 ± 0.7 37.0 ± 0.5 
  Urban, teaching 53.8 ± 0.7 51.5 ± 0.5 
Neonatal Jaundice HospitalizationsNeonatal Hospitalizations Without Jaundice
N = 3 302 129N = 12 792 524
% ± SE% ± SE
Overall 20.5 ± 0.3 79.5 ± 0.3 
Demographics   
 Sex   
  Male 52.6 ± 0.1 50.9 ± 0.01 
  Female 47.4 ± 0.1 49.1 ± 0.01 
 Race or ethnicitya   
  White 56.7 ± 0.5 55.0 ± 0.5 
  Black 13.2 ± 0.3 15.3 ± 0.3 
  Hispanic 22.2 ± 0.5 23.7 ± 0.5 
  Asian or Pacific Islander 7.0 ± 0.2 5.2 ± 0.2 
  Native American 1.0 ± 0.1 0.8 ± 0.01 
 Gestational age   
  Preterm 22.3 ± 0.2 4.4 ± 0.03 
  Term 77.7 ± 0.2 95.6 ± 0.03 
 Median household income category for patient’s zip code (%)   
  0–25th percentile 26.4 ± 0.4 28.4 ± 0.4 
  26–50th percentile 24.5 ± 0.3 25.1 ± 0.2 
  51–75th percentile 24.9 ± 0.2 24.7 ± 0.2 
  76–100th percentile 24.2 ± 0.5 21.8 ± 0.4 
 Primary payer (%)   
  Private 49.6 ± 0.5 46.8 ± 0.4 
  Other 50.4 ± 0.5 53.2 ± 0.4 
Hospital characteristics   
 Hospital bed size (%)   
  Small 11.2 ± 0.4 12.2 ± 0.4 
  Medium 26.0 ± 0.5 26.9 ± 0.4 
  Large 62.9 ± 0.7 60.9 ± 0.5 
 Hospital region   
  Northeast 15.3 ± 0.4 16.5 ± 0.4 
  Midwest 20.9 ± 0.5 21.4 ± 0.4 
  South 40.1 ± 0.7 38.0 ± 0.5 
  West 23.7 ± 0.5 24.2 ± 0.4 
 Hospital location & teaching status (%)   
  Rural 9.5 ± 0.2 11.5 ± 0.2 
  Urban, nonteaching 36.7 ± 0.7 37.0 ± 0.5 
  Urban, teaching 53.8 ± 0.7 51.5 ± 0.5 
a

Race or ethnicity categories, except Hispanic are non-Hispanic. SE, standard error.

TABLE 2

Trends in the Proportion of Neonatal Hospitalizations With Jaundice Who Received Phototherapy in the United States From 2006 to 2016 Stratified by Gender, Race, and Hospital Characteristics

Time Period or EpochP Value for Trend
Year 2006 2009 2012 2016 Total  
Jaundice (%) 20.9 20.3 20.4 20.5 20.5 .1 
Neonatal jaundice hospitalizations that received phototherapy (%) 22.5 24.2 25.6 27.0 24.7 <.0001 
Gestational age       
 Preterm 46.0 48.3 50.1 49.5 48.5 <.0001 
 Term 16.0 17.4 18.5 20.0 17.9 <.0001 
Sex       
 Male 23.4 25.2 26.6 27.6 25.6 <.0001 
 Female 21.6 23.1 24.6 26.3 23.8 <.0001 
Race or ethnicitya       
 White 20.6 22.1 23.8 25.5 23.0 <.0001 
 Black 25.7 29.7 29.6 29.9 28.8 <.0001 
 Hispanic 25.9 29.9 30.8 30.9 29.4 <.0001 
 Asian or Pacific Islander 27.1 28.0 29.7 29.3 28.6 <.0001 
 Native American 24.4 29.5 26.9 25.8 26.7 <.0001 
 Other 25.2 25.0 29.1 31.9 28.0 <.0001 
Hospital region       
 Northeast 30.0 29.3 31.0 33.1 30.8 <.0001 
 Midwest 17.0 18.4 20.2 21.1 19.1 <.0001 
 South 21.7 23.5 25.1 27.9 24.5 <.0001 
 West 23.7 27.4 27.6 26.6 26.3 <.0001 
Median length of stay, d (interquartile range) 2.3 (1.5–3.9) 2.3 (1.5–4.0) 2.2 (1.5–4.2) 2.2 (1.4–4.5) 2.2 (1.5–4.1) .09 
Time Period or EpochP Value for Trend
Year 2006 2009 2012 2016 Total  
Jaundice (%) 20.9 20.3 20.4 20.5 20.5 .1 
Neonatal jaundice hospitalizations that received phototherapy (%) 22.5 24.2 25.6 27.0 24.7 <.0001 
Gestational age       
 Preterm 46.0 48.3 50.1 49.5 48.5 <.0001 
 Term 16.0 17.4 18.5 20.0 17.9 <.0001 
Sex       
 Male 23.4 25.2 26.6 27.6 25.6 <.0001 
 Female 21.6 23.1 24.6 26.3 23.8 <.0001 
Race or ethnicitya       
 White 20.6 22.1 23.8 25.5 23.0 <.0001 
 Black 25.7 29.7 29.6 29.9 28.8 <.0001 
 Hispanic 25.9 29.9 30.8 30.9 29.4 <.0001 
 Asian or Pacific Islander 27.1 28.0 29.7 29.3 28.6 <.0001 
 Native American 24.4 29.5 26.9 25.8 26.7 <.0001 
 Other 25.2 25.0 29.1 31.9 28.0 <.0001 
Hospital region       
 Northeast 30.0 29.3 31.0 33.1 30.8 <.0001 
 Midwest 17.0 18.4 20.2 21.1 19.1 <.0001 
 South 21.7 23.5 25.1 27.9 24.5 <.0001 
 West 23.7 27.4 27.6 26.6 26.3 <.0001 
Median length of stay, d (interquartile range) 2.3 (1.5–3.9) 2.3 (1.5–4.0) 2.2 (1.5–4.2) 2.2 (1.4–4.5) 2.2 (1.5–4.1) .09 
a

Race or ethnicity categories, except Hispanic are non-Hispanic.

During the study period, the proportion of neonatal hospitalizations with jaundice who had procedure codes for phototherapy increased significantly from 22.5% in 2006% to 27.0% in 2016 (P < .0001). The use of phototherapy for jaundice was significantly increased for all sex, races, geographic regions, and gestational ages as shown in Table 2. The median LOS for hospitalizations with jaundice that received phototherapy was 2.2 days (IQR, 1.5–4.1 days) and there was no significant change over time during the study period. Although, the absolute number of ET performed decreased from 188 to 171 per year among neonatal hospitalizations with jaundice, the rate of exchange transfusion per 100 000 neonatal hospitalizations (6.1 in 2006 to 6.0 in 2016, P = .82) did not change over time as shown in Fig 2.

FIGURE 2

Trends of phototherapy and exchange transfusion among neonates hospitalized with jaundice 2006 to 2016.

FIGURE 2

Trends of phototherapy and exchange transfusion among neonates hospitalized with jaundice 2006 to 2016.

Close modal

Our results demonstrate that during the 11-year period following the release of the AAP guidelines on the management of hyperbilirubinemia from 2006 to 2016, the proportion of newborn hospitalizations diagnosed with jaundice remained stable, the use of phototherapy increased, and the use of ET remained stable. The findings from this study can inform future clinical practice guidelines in addition to the potential of positively impacting clinical practice.

In 2004, the AAP issued guidelines recommending a systematic assessment for the risk of severe hyperbilirubinemia on all infants before hospital discharge.4  One recommendation included measurement of bilirubin levels before discharging a newborn with appropriate follow-up. Our results indicate a stable trend in the diagnosis of neonatal jaundice from 2006 through 2016. Burke et al used the same databases to examine the trends in newborn hospitalizations with jaundice following the release of the 1994 and 2004 AAP guidelines on the management of hyperbilirubinemia. They found that the diagnosis of neonatal jaundice increased from 11.9% in 1994 to 1996, to 20.0% in 2003 to 2005.6  Interestingly, the current study has demonstrated that from 2006 through 2016, the proportion of newborn hospitalizations with jaundice stood at approximately 20%, unchanged since 2003 to 2005. This suggests that predischarge bilirubin screening has reached a saturation point and there have been no significant changes in the risk factors that will increase the occurrence of jaundice in newborns.

Phototherapy use for jaundice increased over the entire study period. This accords with the findings from several studies including population-based ones in the US and Canada that have demonstrated increased phototherapy use following the implementation of universal predischarge bilirubin screening.7,1517  The increased phototherapy use in the context of an unchanged proportion of newborn hospitalizations with neonatal jaundice may raise the possibility of the overuse of phototherapy, or varying interpretations and implementation of the AAP guidelines in the clinical setting.18  Indeed, Wickremasinghe et al have shown that in a large health care system in California, phototherapy was often prescribed in 19% of newborns with total serum bilirubin levels that were below the AAP threshold for initiating phototherapy from 2010 through 2014.19  This was ostensibly done to prevent hospital readmissions. This increased use of phototherapy may also be predicated on the idea that phototherapy is safe and harmless but it often interferes with the maternal-infant bonding process, in addition to reducing exclusive breastfeeding rates within the first 4 months.20,21  Furthermore, clinicians should be concerned about the increasing use of phototherapy due to possibility of a link between phototherapy and childhood seizures.22  We welcome the recent recommendation against the use of phototherapy at bilirubin levels below the AAP thresholds for phototherapy.23 

The increased use of phototherapy during the study period must also be interpreted within the overall context of the management of neonatal hyperbilirubinemia. Several large studies have shown that universal bilirubin screening led to a reduction in the incidence of bilirubin levels >25 mg/dL.7,15,24  This might be the result of early and increased phototherapy use. Thus, it is not surprising that previous studies found a significant decline in the rate of ET for neonatal jaundice.8,2527  In contrast to these studies, we found no significant change in the rate of ET. These could be due to differences in patient population, study period and duration, and differences in database used. However, the large population-based study by Wolf et al which overlapped with the study period of the current study showed that the rate of exchange transfusion for neonatal jaundice remained stable between 2009 and 2016,27  which accords with our findings. Further studies with databases containing granular clinical information may be needed to confirm the trend in ET practices for neonatal jaundice in the US.

A major strength of the current study is the use of a large, population-based database to examine neonatal hospitalizations with jaundice in the US since the year 2004. The limitations of this study, like others conducted using administrative databases, are well described.28  Large databases such as the KID are susceptible to coding errors, omissions, and duplications. However, the HCUP has instituted mechanisms to ensure the validity of the data in these databases.29  Additionally, phototherapy and ET are major procedures, and are more likely to be coded correctly since such coding is related to billing for inpatient hospital care. The HCUP database lacks clinical information as it relies on administrative coding without confirmation from patient level clinic data. This limited our ability to determine the bilirubin thresholds above which phototherapy and exchange transfusion were performed. Additionally, there is no ICD code for acute bilirubin encephalopathy and as a result, we could not determine the impact of the observed trends in phototherapy use and ET on the incidence of acute bilirubin encephalopathy. The hospitalization data in the KID makes no distinction between the initial birth hospitalization and subsequent readmission. Thus, some newborns are represented more than once in the databases due to readmissions following the initial birth hospitalization.

From 2006 through 2016, while neonatal hospitalizations for jaundice remained stable, there was a significant increase in the use of phototherapy but no significant change in the rate of ET for severe neonatal jaundice. The impact of these changes on the prevention of acute bilirubin encephalopathy needs further examination in future studies.

We thank the Healthcare Cost and Utilization Project (HCUP) sponsored by the Agency for Healthcare Research and Quality, Rockville, MD and its partner organizations that provide data to the HCUP. We also thank Paula Umscheid for proof-reading the manuscript.

Drs Vasudeva, Parmar, Doshi, Ayensu conceptualized and designed the study, drafted the initial manuscript, and reviewed and revised the manuscript; Drs Bhatt and Umscheid conceptualized and designed the study, designed the data collection instruments, collected data, conducted the initial analyses, and reviewed and revised the manuscript; Drs Donda and Dapaah-Siakwan conceptualized and designed the study, coordinated and supervised data collection, and critically reviewed the manuscript for important intellectual content; and all authors approved the final manuscript as submitted and agree to be accountable for all aspects of the work.

FUNDING: No external funding.

CONFLICT OF INTEREST DISCLOSURES: The authors have indicated they have no financial relationships relevant to this article to disclose.

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Supplementary data