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Indian Pediatr 2013;50: 365-366 |
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Bilirubin Nomogram: A Prediction Tool or
Natural History Profile?
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Vinod K Bhutani
Stanford University School of Medicine and Lucile
Packard Children’s Hospital,
Department of Pediatrics, Division of Neonatal and Developmental
Medicine, 750 Welch Ave #315; Stanford, CA 94304.
Email: [email protected]
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Bilirubin nomograms have dual
functions: (a) to track an individual baby using an
evidence-based predictive risk assessment tool; and, (b) to
inform the public health perspective on adverse outcome reduction by
altering the natural course of the disease through early intervention.
The original report that demonstrated the predictive value of a routine
predischarge total serum bilirubin (TSB), measured as a universal
screen, was simplified for immediate applicability to plot on an
hour-specific bilirubin nomogram described for a population of racially
diverse, healthy, term and near-term newborns during the first postnatal
week in a Philadelphia hospital [1]. Subsequent studies have validated
this predictive ability and the usefulness of this nomogram in several
regional and multi-national populations [2]. When used with combination
of TSB and transcutaneous testing, other centers have effectively
promoted universal bilirubin screening [3, 4]. The outcome
measure is the likelihood (LR) of TSB >95 th
percentile for age in hours. Based on the prevalence of "disease": TSB
in the high-risk zone, >95th
percentile post-discharge for any population is (present / (present +
absent)). One out of 23 infants in this study evidenced "disease". The
LR may calculate a revised or posttest probability of disease: posttest
odds = pretest odds × LR where odds = probability ÷ (1 – probability).
Because LR is prevalence independent, it can be used to calculate the
posttest probability at any site in the world. Alternatively, the
revised probability may be obtained for any site by dividing the absent
component of the present : absent ratio for the total population by the
LR to calculate the revised present : absent ratio for each risk zone
(legend for Table 3 in reference 1). The clinical goal for any
predictive test is defined by its outcome. We selected an identification
of a higher-risk population to ensure a safety margin because of known
imprecision of clinical diagnostic tests. Biological risk factors,
accuracy as well as precision of bilirubin, pattern of clinical practice
and access to healthcare markedly influence the predictive performance
of the bilirubin tests. Gestational age, race and ethnicity are also
singularly important [4, 5]. Subsequent consensus for TSB thresholds for
use phototherapy governed by prematurity, hemolysis and clinical signs
of neurotoxicity [2,4] have informed clinical practices similar to those
in North America and Europe. However, geography and nationality are poor
surrogates for biology, race, ethnicity and prematurity and have yet to
be recognized as specific risk factors. Performance of a predictive test
is also largely defined, in a research setting, with meticulous
attention to study design, definitions, minimization of bias, subsequent
validation in diverse cohorts and an anticipation of variable
implementation in actual clinical practice. In this issue of Indian
Pediatrics, Pathak, et al., [6] have attempted to replicate a
predictive study without addressing a precise hypothesis and have
expended immense effort without studying the vulnerability (if any) for
their specific population cared for at their institution. Their data
could be influenced by prevailing clinical practice pattern, race or
ethnicity but not geography. Assessment of proven predictive tools for
local institutional quality improvement should be benchmarked to best
practice models and encouraged. On the other hand, novel questions
impact nations with additional clinical or public health burden for
bilirubin neurotoxicity that includes sepsis, small for dates, postnatal
hypoalbuminemia, unrecognized hemolysis, insufficient breast milk intake
or access to healthcare. Here, the risk of neurotoxicity can be altered
by natural history of the disease itself. A national endeavor to define
thresholds for interventions relevant to the diverse population is an
achievable newborn health priority to reduce the prevalence of infants
with TSB >95th percentile,
use of exchange transfusion or possibly prevent kernicterus in India.
Competing interests: None stated; Funding:
Nil.
References
1. Bhutani VK, Johnson LH, Sivieri EM. Predictive
ability of a predischarge hour-specific serum bilirubin for subsequent
significant hyperbilirubinemia in healthy term and near-term newborns.
Pediatrics. 1999;103:6-14.
2. Stevenson DK, Fanaroff AA, Maisels MJ, Young BW,
Wong RJ, Vreman HJ, et al. Prediction of hyperbilirubinemia in
near-term and term infants. J Pediatr. 2001;108:31-9.
3. Maisels MJ, Bhutani VK, Bogen D, Newman TB, Stark
AR, Watchko JF. Hyperbilirubinemia in the newborn infant > or =35 weeks’
gestation: an update with clarifications. Pediatrics. 2009;124:1193-8.
4. Bhutani VK, Stark AR, Lazzeroni LC, Poland R,
Gourley GR, Kazmierczak S, 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. 2012 Oct 5.
5. Bhutani VK. Public policy to prevent severe
neonatal hyperbilirubinemia. In: Stevenson DK, Maisels MJ,
Watchko JF, Eds. Care of the Jaundiced Neonate. China: McGraw-Hill
Companies Inc; 2012. p 243-262.
6. Pathak U, Chawla D, Kaur S, Jain S. Bilirubin
nomogram for prediction of significant hyperbilirubinemia in North
Indian neonates. Indian Pediatr. 2013;50:383-9.
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