Arnold-Chiari malformation epidemiology and demographics: Difference between revisions
No edit summary |
No edit summary |
||
Line 13: | Line 13: | ||
*The mortality rate of Arnold Chiari malformation depends on the subtype. | *The mortality rate of Arnold Chiari malformation depends on the subtype. | ||
*Type 3 | *Type 3 has the highest mortality rate as a result of respiratory failure in infancy | ||
===Age=== | ===Age=== |
Revision as of 15:44, 16 September 2019
Arnold-Chiari malformation Microchapters |
Differentiating Arnold-Chiari malformation from other Diseases |
---|
Diagnosis |
Treatment |
Case Studies |
Arnold-Chiari malformation epidemiology and demographics On the Web |
American Roentgen Ray Society Images of Arnold-Chiari malformation epidemiology and demographics |
FDA on Arnold-Chiari malformation epidemiology and demographics |
CDC on Arnold-Chiari malformation epidemiology and demographics |
Arnold-Chiari malformation epidemiology and demographics in the news |
Blogs on Arnold-Chiari malformation epidemiology and demographics |
Risk calculators and risk factors for Arnold-Chiari malformation epidemiology and demographics |
Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1]; Associate Editor(s)-in-Chief: Fahimeh Shojaei, M.D.
Overview
Epidemiology and Demographics
Prevalence
- The prevalence of Arnold Chiari malformation is unknown since most of the cases are accidentally found
- It is believed that approximate prevalence is 0.1 to 0.5 percent worldwide.[1]
Mortality rate
- The mortality rate of Arnold Chiari malformation depends on the subtype.
- Type 3 has the highest mortality rate as a result of respiratory failure in infancy
Age
- Arnold Chiari malformation commonly affects adolescence and adulthood, but also has been seen in younger children.
Race
- There is no racial predilection to Arnold Chiari malformation.
- Arnold Chiari malformation usually presents with back pain in whites and lower extremity weakness in African-Americans.
Gender
- [Disease name] affects men and women equally.
- [Gender 1] are more commonly affected by [disease name] than [gender 2]. The [gender 1] to [gender 2] ratio is approximately [number > 1] to 1.