| Title |
Newborn screening by tandem mass spectrometry confirms the high prevalence of sickle cell disease among German newborns
|
|---|---|
| Published in |
Annals of Hematology, August 2018
|
| DOI | 10.1007/s00277-018-3477-4 |
| Pubmed ID | |
| Authors |
Stephan Lobitz, Jeannette Klein, Annemarie Brose, Oliver Blankenstein, Claudia Frömmel |
| Abstract |
Sickle cell disease (SCD) is a severe inherited blood disorder associated with significant morbidity and mortality in early childhood. Since simple interventions are available to prevent early fatal courses, SCD is a target condition of several national newborn screening (NBS) programs worldwide, but not in Germany. Traditionally, the diagnosis of SCD is made by high-performance liquid chromatography (HPLC), isoelectric focusing (IEF), or capillary electrophoresis (CE), but globally, most NBS programs in place are based on tandem mass spectrometry (MS/MS). Recently, several publications have shown that MS/MS is an appropriate screening technique to detect hemoglobin patterns suggestive of SCD in newborns, too. We have studied dried blood spot samples of 29,079 German newborns by both CE and MS/MS and observed a 100% congruence of test results. Seven babies had hemoglobin patterns characteristic of SCD (1:4154). Our study confirms that (a) the suitability of MS/MS as an adequate substitute for CE in NBS for SCD and (b) the high prevalence of SCD among German newborns. Our results support the thesis that German newborns should be screened for SCD by MS/MS. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 10% |
| Student > Master | 5 | 10% |
| Student > Ph. D. Student | 4 | 8% |
| Student > Bachelor | 3 | 6% |
| Other | 2 | 4% |
| Other | 7 | 14% |
| Unknown | 23 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 18% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Agricultural and Biological Sciences | 3 | 6% |
| Chemistry | 3 | 6% |
| Nursing and Health Professions | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 23 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 August 2018.
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#20,530,891
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Outputs from Annals of Hematology
#1,745
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#290,862
of 333,774 outputs
Outputs of similar age from Annals of Hematology
#32
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