This clinical trial focuses on testing the efficacy of different digital interventions to promote re-engagement in cancer-related long-term follow-up care for adolescent and young adult (AYA) survivors of childhood cancer.
Genetic lipodystrophy syndromes are extremely rare, orphan diseases with overall estimated prevalence of less than 2,000 in the United States. These rare disorders characterized by selective loss of adipose tissue and predisposition to insulin resistance and its metabolic complications diabetes, dyslipidemia and hepatic steatosis. Due to these metabolic problems, atherosclerotic vascular disease, recurrent episodes of acute pancreatitis, cirrhosis and other morbidities complicate the lives of these patients. In the last few years, several genes for CGL (AGPAT2, BSCL2, CAV1 and PTRF); FPL (LMNA, PPARG, AKT2, CIDEC, LIPE, PLIN1, PCYT1A and ADRA2A); MAD (LMNA and ZMPSTE24); APS (LMNA); autoinflammatory (PSMB8); NPS (FBN1, CAV1); SHORT syndrome (PIK3R1); and MDP syndrome (POLD1) have been identified. However, there is paucity of information about the natural history of these rare syndromes, especially genotype-specific causes of morbidity and mortality. To overcome the problems outlined above, this multicenter, collaborative, prospective, observational natural history cohort study will be conducted on approximately 500 patients with genetic or acquired lipodystrophy syndromes. Patients will be assessed on a yearly basis for approximately 5 to 7 years to collect robust clinical, metabolic, morbidity and mortality data. Medical history and patient questionnaires will be completed on a yearly basis by patients registered in the study. Clinical data such as vitals, laboratory results and anthropometric measurements will also be collected from patients' medical records if available.
Prospective Multicenter Natural History Study of Lipodystrophy Syndromes to Determine Prevalence, Incidence and Predictors of Diabetes and Severe Hypertriglyceridemia, and Their Complications
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
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Sponsor: University of Michigan
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