Hemoglobinopathies: a longitudinal study over four decades.
BACKGROUND
Hemoglobinopathies are among the most common hereditary diseases worldwide, with high prevalence in the Mediterranean basin, Africa, and Asia. Although they are rare in the indigenous central European population, they have become much more common in Germany recently through the immigration of millions of people from endemic regions.


METHODS
In a long-term study (1971-2007), 100,621 hemoglobin analyses were performed and retrospectively evaluated. Basic clinical and hematological information were provided by the participating physicians. The hemoglobin defects were characterized with hematological and biochemical methods, as well as by DNA analysis in selected cases (from the mid-1980's onward). 73% of the analyses were performed in patients with an immigration background, 27% in patients of German ethnic origin.


RESULTS
34,228 persons, or 34% of those studied, were found to have a hemoglobinopathy. Most cases involved thalassemia syndromes (25,798 cases, 25.6%); the second most common type was a structural abnormality of hemoglobin (8,430 cases, 8.4%). This study provides the first broad overview of the occurrence, spectrum, and geographical distribution of hemoglobinopathies in Germany.


CONCLUSIONS
These data show that hemoglobinopathies are a relevant health problem in the population of Germany today. This is not an epidemiological study, and thus it is unknown to what extent these data are representative. Because hemoglobin defects are of widely diverse genetic and clinical types, specialized laboratory analysis is needed to diagnose them correctly and provide a basis for proper therapeutic decisions.
Kohne
Elisabeth
E
Hämoglobinlabor Universitätsklinikum Ulm, Klinik für Kinder und Jugendmedizin, Eythstr. 24, 89075 Ulm, Germany. elisabeth.kohne@uniklinik-ulm.de
Kleihauer
Enno
E
D005260:Female; D005858:Germany / Q000453:epidemiology; D006453:Hemoglobinopathies / Q000175:diagnosis* / Q000453:epidemiology*; D006801:Humans; D015994:Incidence; D008297:Male; D016016:Proportional Hazards Models; D018570:Risk Assessment; D012307:Risk Factors