| |
|
|
|
|
|
|
|
|
|
|
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
|
|
|
|
|
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| |
|
|
![]() |
![]() |
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
|
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| |
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| |
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| |
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| |
|
|
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Condition |
Code |
SCORE Sum of the Means |
Rank
(%ile) |
| Medium-chain acyl-CoA dehydrogenase deficiency | MCAD | 1799
|
1.00 |
| Congenital hypothyroidism | CH | 1718 |
0.99 |
| Phenylketonuria | PKU | 1663 |
0.98 |
| Neonatal hyperbilirubinemia (Kernicterus) | HPRBIL | 1584 |
0.96 |
| Biotinidase deficiency | BIOT | 1566 |
0.95 |
| Sickle cell anemia (Hb SS disease) Hb | SS | 1542 |
0.94 |
| Congenital adrenal hyperplasia (21-hydroxylase deficiency) | CAH | 1533 |
0.93 |
| Isovaleric acidemia | IVA | 1493 |
0.89 |
| Very long-chain acyl-CoA dehydrogenase deficiency | VLCAD | 1493 |
0.89 |
| Maple syrup disease | MSUD | 1493 |
0.89 |
| Classical galactosemia | GALT | 1473 |
0.88 |
| Hb S/ß-thalassemia | Hb S/ßTh | 1455 |
0.87 |
| Hb S/C disease | Hb S/C | 1453 |
0.86 |
| Long-chain L-3-OH acyl-CoA dehydrogenase deficiency | LCHAD | 1445 |
0.84 |
| Glutaric acidemia type I | GA I | 1435 |
0.83 |
| 3-OH 3-CH3 glutaric aciduria | HMG | 1420 |
0.82 |
| Trifunctional protein deficiency | TFP | 1418 |
0.81 |
| Multiple carboxylase deficiency | MCD | 1386 |
0.80 |
| Benign hyperphenylalaninemia | H-PHE | 1365 |
0.78 |
| Methylmalonic acidemia (mutase deficiency) | MUT | 1358 |
0.77 |
| Homocystinuria (due to CBS deficiency) | HCY | 1357 |
0.76 |
| 3-Methylcrotonyl-CoA carboxylase deficiency | 3MCC | 1355 |
0.75 |
| Hearing loss | HEAR | 1354 |
0.73 |
| Methylmalonic acidemia (Cbl A,B) | Cbl A,B | 1343 |
0.72 |
| Propionic acidemia | PROP | 1333 |
0.71 |
| Carnitine uptake defect | CUD | 1309 |
0.69 |
| Galactokinase deficiency | GALK | 1286 |
0.69 |
| Glucose-6-phosphate dehydrogenase deficiency | G6PD | 1286 |
0.67 |
| ß-Ketothiolase deficiency | BKT | 1282 |
0.66 |
| Citrullinemia | CIT | 1266 |
0.65 |
| Argininosuccinic acidemia | ASA | 1263 |
0.64 |
| Tyrosinemia type I | TYR I | 1257 |
0.63 |
| Short-chain acyl-CoA dehydrogenase deficiency | SCAD | 1252 |
0.61 |
| Tyrosinemia type II | TYR II | 1249 |
0.60 |
| Glutaric acidemia type II | GA2 | 1224 |
0.59 |
| Medium/short-chain L-3-OH acyl-CoA dehydrogenase deficiency | M/SCHAD | 1223 |
0.58 |
| Cystic fibrosis | CF | 1200 |
0.57 |
| Variant Hb-pathies (including HB E) | Var Hb | 1199 |
0.55 |
| Human HIV infection | HIV | 1193 |
0.54 |
| Defects of biopterin cofactor biosynthesis | BIOPT (BS) | 1174 |
0.53 |
| Medium-chain ketoacyl-CoA thiolase deficiency | MCKAT | 1170 |
0.52 |
| Carnitine palmitoyltransferase II deficiency | CPT II | 1169 |
0.51 |
| Methylmalonic acidemia (Cbl C,D) | Cbl C,D | 1166 |
0.49 |
| Argininemia | ARG | 1151 |
0.48 |
| Tyrosinemia type III | TYR III | 1149 |
0.47 |
| Defects of biopterin cofactor regeneration | BIOPT (Reg) | 1146 |
0.46 |
| Malonic acidemia | MAL | 1143 |
0.45 |
| Carnitine: acylcarnitine translocase deficiency | CACT | 1141 |
0.43 |
| Isobutyryl-CoA dehydrogenase deficiency | IBG | 1134 |
0.42 |
| 2-Methyl 3-hydroxy butyric aciduria | 2M3HBA | 1132 |
0.41 |
| Carnitine palmitoyltransferase I deficiency (liver) | CPT IA | 1131 |
0.40 |
| 2-Methylbutyryl-CoA dehydrogenase deficiency | 2MBG | 1124 |
0.39 |
| Hypermethioninemia | MET | 1121 |
0.37 |
| Dienoyl-CoA reductase deficiency | DE RED | 1119 |
0.36 |
| Galactose epimerase deficiency | GALE | 1066 |
0.35 |
| 3-Methylglutaconic aciduria | 3MGA | 1057 |
0.34 |
| Severe combined immunodeficiency | SCID | 1047 |
0.33 |
| Congenital toxoplasmosis | TOXO | 1041 |
0.31 |
| Familial hypercholesterolemia (heterozygote) | FHC | 1038 |
0.30 |
| Carnitine palmitoyltransferase I deficiency (muscle) | CPT IB | 1009 |
0.29 |
| Citrullinemia type II | CIT II | 1001 |
0.28 |
| Ornithine transcarbamylase deficiency | OTC | 942 |
0.27 |
| Guanidinoacetate methyltransferase deficiency | GAMT | 922 |
0.24 |
| Wilson disease | WD | 922 |
0.24 |
| Diabetes mellitus, insulin dependent | IDDM | 891 |
0.23 |
| Neuroblastoma | NB | 864 |
0.22
|
| Arginine: glycine amidinotransferase deficiency | AGAT |
861 |
0.20
|
| Turner syndrome | TURNER | 847 |
0.19 |
| Adenosine deaminase deficiency | ADA | 841 |
0.18 |
| Carbamylphosphate synthetase deficiency | CPS | 833 |
0.17 |
| œ1-Antitrypsin
deficiency |
A1AT | 819 |
0.16 |
| Congenital cytomegalovirus infection |
CMV | 779 |
0.14 |
| Duchenne and Becker muscular dystrophy | DMD | 776 |
0.12 |
| Fragile X syndrome | FX | 776 |
0.12 |
| Congenital disorder of glycosylation type Ib | CDG Ib | 766 |
0.11 |
| Smith-Lemli-Opitz syndrome | SLO | 759 |
0.10 |
| Biliary atresia | BIL | 744 |
0.08 |
| Hurler-Scheie disease | MPS-1H | 707 |
0.07 |
| X-linked adrenoleukodystrophy | ALD | 705 |
0.06 |
| Fabry disease | FABRY | 661 |
0.05 |
| Creatine transport defect | CR TRANS | 646 |
0.04 |
| Lysosomal storage diseases | LSD | 638 |
0.02 |
| Pompe disease | POMPE | 613 |
0.01 |
| Krabbe disease
|
KRABBE | 447 |
0.00 |
Figure 1: Scoring by Test Availability
Separates out those conditions that have an acceptable, validated,
population-based screening test from those that do not.

A score of
1200 on the data collection instrument was found to provide a logical
point of separation between a group of high scoring conditions (1,200
- 1,799 of a possible 2,100) and another group of low scoring (<1,000)
conditions. A group of conditions with intermediate scores (1,000 - 1,199)
was identified, all of which were part of the differential diagnosis of
a high scoring core condition, but without an efficacious treatment or
without a well understood natural history.
Using expert opinion and the validated evidence base, each condition that had previously been assigned to a category based on quantified scores was reconsidered based on:
These categories were henceforth referred to as:
1. Core Panel;
2. Secondary Targets (conditions that are part of the differential diagnosis of a core panel condition.); and
3. Not Appropriate for Newborn Screening (either no newborn screening test is available or there is poor performance with regard to multiple other evaluation criteria).
DISCUSSION
The basis for decision-making started with whether a screening test is
available, which was then overlaid by the overall quantified expert opinion
analysis gathered via the data collection information tool. The process
of quantifying this expert opinion was then informed by literature review
and expert validation.
In the first tier of analysis, conditions with scores above 1,200 met key criteria and were preliminarily considered appropriate for inclusion in a core newborn screening panel. Conditions scoring below 1,000 were not considered appropriate for inclusion in the core newborn screening panel at this time. As noted previously, the expert group determined that the laboratory should report any result coincidentally revealed in the course of newborn screening that might be clinically significant. In general, the screening test has been optimized for the detection of primary target conditions. Optimizing the technology for a primary target condition does not necessarily optimize the detection of all possible conditions. These conditions are often revealed through diagnostic testing since they are part of the differential diagnosis of a core condition as occurs with MS/MS identified cases but may be apparent in the screening laboratory due to the technologies employed in screening (e.g., hemoglobinopathies by high pressure liquid chromatography (HPLC)/isoelectric focusing (IEF). Hence, the expert group designated a category of “secondary targets” to include conditions for which the results should be made available to health care professionals and/or families by the screening laboratory or that are determined during the diagnostic phase of the screening program and provided to families in the course of diagnosis and follow-up. Most conditions placed in the secondary target category are part of the differential diagnosis of a condition in the core panel. Inclusion in the secondary target category allows for the collection of cases on a national level for further investigation to understand the disease process, and for the development of treatment modalities. Regardless of whether programs choose to integrate all such conditions into their broader newborn screening programs, it will be important for them to have the diagnostic confirmatory results for all such cases, since they have a direct impact on the calculation of false-positive rates of screening for the core panel conditions.
After conditions were preliminarily categorized based on their data collection instrument scores, the evidence base as reflected in fact sheets developed for each condition was assessed. If a clinically significant condition in the core panel did not have the scientific evidence to support the availability of an efficacious treatment, it moved to the secondary target category. Similarly, if it was determined that an understanding of the natural history of the condition was insufficient to justify primary screening, the condition was moved to the secondary target category. When test results definitively identified carriers of the conditions, the handling of carrier information was moved into the secondary target category.
The following flow diagram (Figure 2) demonstrates the decision-making algorithm. It is important to note that the algorithm presumes an ongoing review of conditions to determine their continued or newly identified appropriateness for newborn screening as new tests and treatment evolve. The data collection instrument used in this project provides an assessment of only one aspect of a broader decision-making process required for establishing a newborn screening uniform panel. An ongoing analysis of the scientific evidence must be overlaid on the quantified expert opinion.
Clearly, the first decision to screen is based on the availability of a sensitive and specific screening test that can be done in the 24- to 48-hour interval after birth. There are a total of 29 conditions (see Table 2) considered appropriate for newborn screening because they have a screening test, an efficacious treatment, and an adequate knowledge of natural history. The conditions best meeting the all of the criteria established by the expert group are MCAD, CH and PKU. Among conditions assigned to the core panel are 9 organic acidurias; 6 amino acidurias; 5 disorders of fatty oxidation; 3 hemoglobinopathies associated with an Hb S allele, and 6 other conditions. Twenty-three of the 29 conditions in the core panel are identified with multiplex technologies such as MS/MS.
On the basis of the evidence, 6 of the 35 conditions initially placed in the core panel were moved into the secondary target category, which expanded to 25 conditions that are part of the differential diagnosis of a core panel condition. Knowledge of these secondary targets (i.e., in a newborn screening test result or in follow-up) can be clinically important to the family.
Beside the 54 conditions
identified in Table 2, the expert group identified 27 other conditions
that were not considered appropriate for newborn screening, either because
they met few evaluation criteria or because they lacked a screening test.
Figure 2: Condition Evaluation and Decision-Making Algorithm
[D] | MS/MS |
||||
Acylcarnitines |
Amino
acids |
|||
9
OA |
5
FAO |
6
AA |
3
Hb Pathies |
6
Others |
| CORE
PANEL |
||||
IVA GA I HMG MCD MUT* 3MCC* Cbl A,B* PROP BKT |
MCAD VLCAD LCHAD TFP CUD |
PKU MSUD HCY* CIT ASA TYR I* |
Hb SS* Hb S/ßTh* Hb S/C* |
CH BIOT CAH* GALT HEAR CF |
SECONDARY
TARGETS |
||||
6
OA |
8
FAO |
8
AA |
1
Hb Pathies |
2
Others |
Cbl C,D* MAL IBG 2M3HBA 2MBG 3MGA |
SCAD GA2 M/SCHAD MCKAT CPT II CACT CPT IA DE RED |
HYPER-PHE TYR II BIOPT (BS) ARG TYR III BIOPT (REG) MET CIT II |
Var Hb* |
GALK* GALE |
NOTE: Codes are as
follows: OA, disorders of organic acid metabolism; FAO, disorders of fatty
acid metabolism; AA, disorders of amino acid metabolism; Hb Pathies, hemoglobinopathies.
* Identifies conditions for which specific discussions of unique issues
are found in the main report.
Limitations
Conditions with limited evidence reported in the scientific literature
were more difficult to evaluate using the data collection instrument.
For example, some conditions have been reported in 10 or fewer families
in the world. Many conditions were found to occur in multiple forms distinguished
by age-of-onset, severity or other features. Further, unless a condition
was already included in newborn screening programs, a potential for bias
was apparent in the information related to some criteria. The power of
the statistical analyses and the blending of two forms of evaluation also
presented limitations. The data collection process in the first tier of
the analysis was limited also by the significant variability in the numbers
of individuals responding for the different conditions. Due to limitations
in the scientific evidence of these rare diseases, there was significant
reliance on the opinions of experts in the conditions. There were many
conditions that scored close to other conditions and it is unlikely that
the statistical power provided in these analyses was sufficient to truly
discriminate among them in a ranking system. Nevertheless, groups of scores
were assessed and natural separations between groups became apparent.
In such circumstances, expert opinion that considered reasoning that applied
first principles of genetic medicine to the evidence and to the quality
underlying the data determined the placement of the conditions into particular
categories.3
II. THE NEWBORN
SCREENING SYSTEM: PROGRAM EVALUATION
COST-EFFECTIVENESS AND FUTURE NEEDS
The Newborn
Screening System
Because the appropriate functioning of the system is critical to realizing
improved outcomes, the full breadth of the components of a screening program
and system was examined by the expert group over the course of the project
(information was obtained from program reports submitted to the National
Newborn Screening and Genetics Resource Center (NNSGRC) and is based on
information available as of October 2003). The goal of the evaluation
was to determine the extent to which States have addressed the many aspects
of the components of this system and to recommend performance standards
to improve the quality of the system. The ability to properly ensure appropriate
diagnosis and management is considered to be primarily a systems responsibility.
Limitations and significant variability were identified in components
of prenatal education, screening, follow-up, diagnosis, management, and
program management. For example:
There are both national and State roles in addressing these limitations. States must retain their significant roles and responsibilities. They have clear authority with regard to oversight and evaluation, as well as enforcement. There is a need to integrate the various systems of health care coverage and payment through flexible and comprehensive financing of services. Service coordination at both State and local levels must be considered, as well as program integration with the State Children’s Health Insurance Plan, early intervention programs, Title V programs, and similar services.
However, it is apparent that all State programs could benefit from a more robust national role in newborn screening. Because so many of the conditions screened in newborns or under consideration for screening are rare, most States that undertake evaluations of the scientific basis for screening of conditions must rely on the same relatively small group of patients identified throughout the world. There is a potential national role in providing scientific evaluation of conditions and defining core condition panels. This would allow States to apply the best science to their own considerations when determining their role in expanded screening.
Practice guidelines also could be developed at a national level by interested organizations. The expert group identified a clear gap in the information available and information needed by primary care professionals to facilitate an immediate response in the event of a screen–positive infant. In response, the expert group has developed an Action (ACT) Sheet for each core condition and secondary target to facilitate immediate response on the part of primary care professionals, both with regard to the need for speed and the expected steps in diagnosis and follow-up.
There is also a potential expanded national role in oversight, data collection, program evaluation, and the development of educational materials to support newborn screening. Depending on the overall incidence of particular conditions, regional collaborative groups such as those funded by HRSA could:
The distribution of primary, secondary, and tertiary services is largely based on the incidence of a condition and the complexity of its short- and long-term diagnosis and management. For more common conditions with easier diagnosis and follow-up, there are likely to be sufficient local health care expertise for patient care. As incidence decreases and complexity increases — particularly for rare metabolic diseases — services become more difficult to access. Developing resources to ensure that health care professionals are available locally, regionally, and nationally will be important to ensuring access to high-quality services.
Cost-Effectiveness
Analysis
A basic cost-effectiveness assessment project was done to better inform
the decision-making process. The assessment focused primarily on a scientific
analysis of conditions and the features that should be considered when
deciding whether they should be included in a newborn screening program,
since costs often are the basis on which such decisions are made.
Costs and benefits related to screening for particular conditions or groups of conditions were evaluated after mapping them over major disease outcomes (e.g., life expectancy, cerebral palsy/stroke, seizures, developmental delay, hearing loss, vision loss). Costs were obtained from the literature and benefits determined from expected outcomes with and without early treatment or intervention. The results of these analyses indicate that most newborn screening programs improve outcomes and reduce overall costs. Further, technologies such as MS/MS or HPLC save money due to their multiplexing capabilities and low screening false-positive rates. The identification of potentially affected individuals at such an early time in life leads to many years over which the benefits accrue and aggregate over costs.
SUMMARY
Significant variability in the conditions for which newborns are screened
led to this project to assess the scientific and medical evidence and
the views of the various individuals and interest groups related to conditions
being considered. Throughout this undertaking, scientific literature and
expert opinion formed the basis for information collection and assessment.
The expert panel considered a range of information, from the disease-specific
to the full breadth of the newborn screening system, in evaluating 84
conditions. There was an effort to overlay the evidence, where available,
on top of expert opinion. The process of quantifying this expert opinion
was informed by literature review and expert validation. It is important
to acknowledge that there was limited scientific evidence available on
the rare disorders considered by the expert panel. Further, because there
was limited activity in the area of coordinated data collection and analysis,
it seemed unlikely that robust scientific evidence would be available
in the near future. Hence, reliance on experts and their ability to apply
first principles4 was required.
Guiding principals for newborn screening and criteria were established
for evaluating conditions. The conditions being considered were initially
assigned through expert analysis to one of three categories, depending
on how they met the screening criteria. The categories were:
1. Core Panel;
2. Secondary Targets (conditions that are part of the differential diagnosis of a core panel condition.); and
3. Not Appropriate for Newborn Screening (either no newborn screening test is available or there is poor performance with regard to multiple other evaluation criteria).
Each condition was then evaluated to determine:
The expert panel identified
29 conditions for which screening should be mandated. An additional 25
conditions were identified because they are part of the differential diagnosis
of a condition in the core panel or are clinically significant and revealed
by the screening technology but lack an efficacious treatment (as with
some identified through MS/MS technology) or because there are incidental
findings for which there is potential clinical significance (hemoglobinopathies).
The expert group thought it was important that such findings be communicated
to the health care service community and to families. In addition, the
view that the technologies employed in newborn screening be maximized
is inherent in the recommendation that all clinically significant information
discovered through newborn screening be provided to the relevant health
care professionals and/or the family.
The expert group recommends that State newborn screening programs:
The full breadth of the newborn screening system was assessed, including a brief review of its cost-effectiveness. Numerous barriers to implementation of an optimal screening and follow-up program were identified. Recommended actions to overcome these barriers include:
Recommendations
Newborn Screening
Steering Committee
Jose Cordero, MD, MPH
Centers for Disease Control and Prevention
E. Steven Edwards,
MD
Past President
American Academy of Pediatrics
R. Rodney Howell,
MD
American College of Medical Genetics
University of Miami School of Medicine
Jennifer L. Howse,
PhD
President
March of Dimes Birth Defects Organization
Michele A. Lloyd-Puryear,
MD, PhD
Maternal and Child Health Bureau
Health Resources and Services Administration
Marie Y. Mann, MD,
MPH (Project Officer)
Maternal and Child Health Bureau
Health Resources and Services Administration
Tricia Mullaley
Genetic Alliance
Peter van Dyck, MD,
MPH
Maternal and Child Health Bureau
Health Resources and Services Administration
Michael S. Watson,
PhD (Project Director)
American College of Medical Genetics
Newborn Screening
Expert Group
R. Rodney Howell, MD (Chair)
American College of Medical Genetics
University of Miami School of Medicine
William Becker, DO
Association of Public Health Laboratories
Ohio State Department of Health
The Ohio State University
Coleen Boyle, PhD
(ex officio)
Centers for Disease Control and Prevention
George C. Cunningham,
MD, MPH
Genetics Disease Branch
California Department of Health Services
Michael R. DeBaun,
MD, MPH
Washington University School of Medicine
Stephen M. Downs,
MD
Indiana University School of Medicine
Edward Goldman, JD
University of Michigan Hospitals
and Health System
Stephen I. Goodman,
MD
University of Colorado Health Sciences Center Fernando Guerra, MD, MPH
San Antonio Metropolitan Health District
W. Harry Hannon, PhD
(ex officio)
Centers for Disease Control and Prevention
James Hanson, MD (ex
officio)
National Institute of Child Health and Human Development
National Institutes of Health
Cecilia Larson, MD
New England Newborn Screening Program
Michele A. Lloyd-Puryear,
MD, PhD (ex officio)
Maternal and Child Health Bureau
Health Resources and Services Administration
Marie Y. Mann, MD,
MPH (ex officio) (Project Officer)
Maternal and Child Health Bureau
Health Resources and Services Administration
Scott McLean, MD,
LTC, MC (ex officio)
United States Army
Gurvaneet Randhawa,
MD, MPH (ex officio)
Agency for Healthcare Research and Quality
Piero Rinaldo, MD, PhD
Mayo Clinic College of Medicine
Derek Robertson, MBA,
JD
Healthcare Consultant/Family Representative
Mark Rothstein, JD
University of Louisville
Robert D. Steiner,
MD
Oregon Health & Science University
Sonia Suter, MS, JD
George Washington University Law School Bradford Therrell, PhD
National Newborn Screening
and Genetics Resource Center
University of Texas Health Science Center
at San Antonio
Thomas Tonniges, MD
American Academy of Pediatrics
Wanda Yazzie, RN,
MPH
New Mexico Department of Health
Michael S. Watson,
PhD (Project Director)
American College of Medical Genetics
Newborn Screening
Conditions and Criteria Work Group
Piero Rinaldo, MD, PhD (Chair)
Mayo Clinic College of Medicine
Donald Bailey, PhD
(Family Representative)
University of North Carolina at Chapel Hill
Celia I. Kaye, PhD,
MD
University of Texas Health Science Center
at San Antonio
Alex R. Kemper, MD,
MPH
University of Michigan Health System
Michele A. Lloyd-Puryear,
MD, PhD
Maternal and Child Health Bureau
Health Resources and Services Administration
Marie Y. Mann, MD,
MPH (Project Officer)
Maternal and Child Health Bureau
Health Resources and Services Administration Kenneth Pass, PhD
New York State Department of Health
Association of Public Health Laboratories
Jennifer M. Puck,
MD
National Human Genome Research Institute
National Institutes of Health
Bradford Therrell,
PhD
National Newborn Screening
and Genetics Resource Center
University of Texas Health Science Center
at San Antonio
Michael S. Watson,
PhD (Project Director)
American College of Medical Genetics
Newborn Screening
External Review Group
Franklin Desposito, MD
University of Medicine and Dentistry of New Jersey
Gary Hoffman, BS
Wisconsin State Laboratory of Hygiene
Kathy Stagni, BS
Organic Acidemia Association
Arnold Strauss, MD
Vanderbilt University School of Medicine
Tracy Trotter, MD
Private pediatric practice, California
Anne M. Willey, PhD,
JD
Association of Public Health Laboratories
New York State Department of Health
Newborn Screening Diagnosis and Follow-up Work Group
Harvey L. Levy, MD (Chair)
Children’s Hospital Boston
Harvard Medical School
James R. Eckman, MD
Emory University School of Medicine
Michele A. Lloyd-Puryear,
MD, PhD
Maternal and Child Health Bureau
Health Resources and Services Administration
Fred Lorey, PhD
California Department of Health Services
Marie Y. Mann, MD,
MPH (Project Officer)
Maternal and Child Health Bureau
Health Resources and Services Administration
Deborah L. Marsden,
MBBS
Children’s Hospital Boston
Harvard Medical School
Julie Miller, BS
Nebraska Department of Health Danielle Laraque, MD
Mt. Sinai School of Medicine
Kelly R. Leight, JD
(Family Representative)
CARES Foundation
Derek Robertson, MBA,
JD
Healthcare Consultant/Family Representative
Bradford Therrell,
PhD
National Newborn Screening
and Genetics Resource Center
University of Texas Health Science Center
at San Antonio
Michael S. Watson,
PhD (Project Director)
American College of Medical Genetics
Barbara Yawn, MD
American Academy of Family Physicians
Newborn Screening
HIPAA Work Group
Edward B. Goldman, JD (Chair)
University of Michigan Hospitals
and Health System
Coleen Boyle, PhD
Centers for Disease Control and Prevention
Beverly Dozier
Office of the Secretary
U.S. Department of Health and Human Services
Lynn D. Fleisher,
PhD, JD
Sidley, Austin, Brown and Wood
Mark Rothstein, JD
University of Louisville
Sonia Suter, MS, JD
George Washington University Law School
References
1. National Academy of Sciences. Genetic screening: programs, principles, and research Washington, DC: 1975.
2. U.S. Congress, Office of Technology Assessment, Healthy Children: Investing in the Future. OTA-H-345 (Washington, DC, U.S. Government Printing Office, February 1988.) Appendix 2: Data and Methods Used in OTA'S Cost-Effectiveness Analysis of Strategies for Newborn Screening. Available at: http://www.wws.princeton.edu/cgi-bin/byteserv.prl/~ota/disk2/1988/8819/881919.PDF.
3. McCabe ERB. Principle of newborn screening for metabolic disease. Perinatol Neonatol 1982;6:63-73.
4. Therrell BL, Panny
SR, Davidson A, Eckman J, Hannon, WH, Henson, MA, Hillard M, et al.
U.S. newborn screening system guidelines: statement of the Council of
Regional Networks for Genetic Services (CORN). Screening 1992;1:135-147.
|
Go
to: Maternal
and Child Health Bureau Home | HRSA
| HHS Health
Resources and Services Administration |