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Original Research

Prevalence of Congenital Hemolytic Disorders in Denmark, 2000–2016

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Pages 485-495 | Published online: 21 May 2020

Figures & data

Table 1 Characteristics of Patients with Congenital Hemolytic Disorders in Denmark, 2000–2016

Table 2 Prevalence of Congenital Hemolytic Disorders in Denmark in 2000, 2007 and 2015

Figure 1 Prevalence of alpha thalassemic disorders in Denmark, 2000–2016, according to models for classification of diagnoses (main model vs sensitivity model). The overall prevalence with 95% confidence intervals for alpha thalassemic diseases calculated on 1 January each year with census data as denominator. The 95% confidence intervals are calculated using the Clopper–Pearson method. Alpha-Thalassemia trait and HbH disease w not defined in the sensitivity model they do not have a separate ICD 8 or 10 code.

Abbreviations: CI, confidence interval; HbH, hemoglobin H; NOS, not otherwise specified.
Figure 1 Prevalence of alpha thalassemic disorders in Denmark, 2000–2016, according to models for classification of diagnoses (main model vs sensitivity model). The overall prevalence with 95% confidence intervals for alpha thalassemic diseases calculated on 1 January each year with census data as denominator. The 95% confidence intervals are calculated using the Clopper–Pearson method. Alpha-Thalassemia trait and HbH disease w not defined in the sensitivity model they do not have a separate ICD 8 or 10 code.

Figure 2 Prevalence of beta thalassemic disorders in Denmark, 2000–2016, according to models for classification of diagnoses (main model vs sensitivity model). The overall prevalence with 95% confidence intervals for beta-thalassemic diseases calculated on 1 January each year with census data as denominator. The 95% confidence intervals are calculated using the Clopper–Pearson method.

Abbreviations: CI, confidence interval; NOS, not otherwise specified.
Figure 2 Prevalence of beta thalassemic disorders in Denmark, 2000–2016, according to models for classification of diagnoses (main model vs sensitivity model). The overall prevalence with 95% confidence intervals for beta-thalassemic diseases calculated on 1 January each year with census data as denominator. The 95% confidence intervals are calculated using the Clopper–Pearson method.

Figure 3 Prevalence of sickle cell disorders and hereditary spherocytosis in Denmark, 2000–2016, according to models for classification of diagnoses (main model vs sensitivity model). The overall prevalence with 95% confidence intervals for sickle cell disorders and hereditary spherocytosis calculated on 1 January each year with census data as denominator. The 95% confidence intervals are calculated using the Clopper–Pearson method.

Abbreviation: CI, confidence interval.
Figure 3 Prevalence of sickle cell disorders and hereditary spherocytosis in Denmark, 2000–2016, according to models for classification of diagnoses (main model vs sensitivity model). The overall prevalence with 95% confidence intervals for sickle cell disorders and hereditary spherocytosis calculated on 1 January each year with census data as denominator. The 95% confidence intervals are calculated using the Clopper–Pearson method.