Figures & data
Figure 1 Distribution of sickle-cell anemia cases in the municipalities of Mato Grosso do Sul, Brazil, between 1980 and 2018, per 100,000 inhabitants (n=125).
![Figure 1 Distribution of sickle-cell anemia cases in the municipalities of Mato Grosso do Sul, Brazil, between 1980 and 2018, per 100,000 inhabitants (n=125).](/cms/asset/8fa09355-2dc0-479f-80ef-4e1668a4d95c/dijg_a_12168829_f0001_c.jpg)
Figure 2 Frequency and incidence (100,000 inhabitants) of the sickle-cell anemia cases stratified in decade of birth, monitored in Mato Grosso do Sul, Brazil (n=128).
![Figure 2 Frequency and incidence (100,000 inhabitants) of the sickle-cell anemia cases stratified in decade of birth, monitored in Mato Grosso do Sul, Brazil (n=128).](/cms/asset/93752548-0cd2-4290-bc57-6583f1201f9f/dijg_a_12168829_f0002_c.jpg)
Figure 3 Data on the total and number of days of hospitalization of the cohort in clinical ward and intensive care center, Campo Grande, Mato Grosso do Sul, Brazil (n=128).
![Figure 3 Data on the total and number of days of hospitalization of the cohort in clinical ward and intensive care center, Campo Grande, Mato Grosso do Sul, Brazil (n=128).](/cms/asset/be06a788-20a6-4b48-bb86-1c7586c52f4d/dijg_a_12168829_f0003_b.jpg)
Figure 4 Percentage of cases with laboratory levels outside of the normal range, Campo Grande, Mato Grosso do Sul, Brazil (n=128).
![Figure 4 Percentage of cases with laboratory levels outside of the normal range, Campo Grande, Mato Grosso do Sul, Brazil (n=128).](/cms/asset/31e90f10-0e51-47dc-b1dd-dbdb5b040ac3/dijg_a_12168829_f0004_b.jpg)
Figure 5 Distribution of laboratory marker values from the cohort, Campo Grande, Mato Grosso do Sul, Brazil (n=128).
![Figure 5 Distribution of laboratory marker values from the cohort, Campo Grande, Mato Grosso do Sul, Brazil (n=128).](/cms/asset/55d994e4-3084-42e4-87da-f7a351606ccc/dijg_a_12168829_f0005_b.jpg)
Table 1 Main Clinical Complications of Patients with Sickle-Cell Anemia, Before and After the Use of Hydroxyurea, Monitored Between 1980 and 2018. Mato Grosso do Sul, Brazil, 2020 (n=128)
Figure 6 Data from the patients with sickle-cell anemia stratified by moments before and after the use of hydroxyurea.
![Figure 6 Data from the patients with sickle-cell anemia stratified by moments before and after the use of hydroxyurea.](/cms/asset/79ea1926-02ce-4b15-a2a7-70f5493edd47/dijg_a_12168829_f0006_b.jpg)
Table 2 Use of Antimicrobials in the Periods Before and After the Use of Hydroxyurea in Patients with Sickle-Cell Anemia, Monitored Between 1980 and 2018. Mato Grosso do Sul, Brazil, 2020 (n=128)
Table 3 Causes of Death Stratification by Age at the Time of Death. Mato Grosso do Sul, Brazil, 2020 (n=19)
Table 4 Number of Deaths According to the Demographic and Clinical Data of Patients with Sickle-Cell Anemia, Monitored Between 1980 and 2018. Mato Grosso do Sul, Brazil, 2020 (n=128)
Table 5 Number of Deaths According to Medication Use and Procedures Performed in Patients with Sickle-Cell Anemia, Mato Grosso do Sul, Brazil, 2020 (n=128)
Figure 7 Distribution of values for laboratory markers between cases that died and those that survived, Campo Grande, Mato Grosso do Sul, Brazil (n=128).
![Figure 7 Distribution of values for laboratory markers between cases that died and those that survived, Campo Grande, Mato Grosso do Sul, Brazil (n=128).](/cms/asset/bbbbd87b-b169-475a-8c26-9c51e3d1a167/dijg_a_12168829_f0007_b.jpg)