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Updated: Feb 9, 2026

Comprehensive Autopsy Program for Individuals with Multiple Sclerosis
Published on: July 19, 2019
Economic burden, work, and school productivity in individuals with tuberous sclerosis and their families
Anne M Skalicky1, Anne M Rentz1, Zhimei Liu2
1a Evidera , Seattle , WA , USA.
Aims:
Tuberous sclerosis complex (TSC) is a multi-organ autosomal-dominant, genetic disorder with incomplete penetrance. The multiple manifestations of TSC and impacts to numerous organ systems represent significant disease, healthcare, and treatment burden. The economic and employment burden of the disease on individuals and their families is poorly understood. This study assessed the cost of illness and work and school productivity burden associated with TSC in a cross-sectional web-survey sample.
Materials And Methods:
Eligible TSC individuals and caregivers were invited through the Tuberous Sclerosis Alliance advocacy group to complete a web-based survey about illness characteristics, treatment, disease burden, direct and indirect healthcare costs, work and school impairment.
Results:
Data from 609 TSC adults or caregiver respondents with no cognitive impairments were analyzed. TSC adults (>18 years of age) had significantly higher direct out-of-pocket costs for ER visits, expenses for medical tests and procedures, alternative treatments, medications and lifetime cost of surgeries compared to TSC pediatric individuals. Both TSC adults and TSC caregivers reported work and school absenteeism and presenteeism; however, adults reported significantly higher absenteeism and presenteeism and overall activity impairment due to TSC, as might be expected, compared to TSC caregivers. TSC adults had significantly higher absenteeism and presenteeism rates compared to adults with moderate-to-severe plaque psoriasis and muscular sclerosis.
Conclusions:
TSC results in considerable direct out-of-pocket medical costs and impairment to work productivity, especially for adults. Future studies should include the comparator group and examine direct cost burden in the US using electronic medical records and insurance databases.
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