Age patterns of incidence of geriatric disease in the U.S. elderly population: Medicare-based analysis.

Akushevich, Igor

Kravchenko, Julia

Ukraintseva, Svetlana

Arbeev, Konstantin

Yashin, Anatoliy I

United States

2017-06-06T17:05:01Z

2017-06-06T17:05:01Z

2012-02

OBJECTIVES: To use the Medicare Files of Service Use (MFSU) to evaluate patterns in the incidence of aging-related diseases in the U.S. elderly population. DESIGN: Age-specific incidence rates of 19 aging-related diseases were evaluated using the National Long Term Care Survey (NLTCS) and the Surveillance, Epidemiology, and End Results (SEER) Registry data, both linked to MFSU (NLTCS-M and SEER-M, respectively), using an algorithm developed for individual date at onset evaluation. SETTING: A random sample from the entire U.S. elderly population (Medicare beneficiaries) was used in NLTCS, and the SEER Registry data covers 26% of the U.S. population. PARTICIPANTS: Thirty-four thousand seventy-seven individuals from NLTCS-M and 2,154,598 from SEER-M. MEASUREMENTS: Individual medical histories were reconstructed using information on diagnoses coded in MFSU, dates of medical services and procedures, and Medicare enrollment and disenrollment. RESULTS: The majority of diseases (e.g., prostate cancer, asthma, and diabetes mellitus) had a monotonic decline (or decline after a short period of increase) in incidence with age. A monotonic increase in incidence with age with a subsequent leveling off and decline was observed for myocardial infarction, stroke, heart failure, ulcer, and Alzheimer's disease. An inverted U-shaped age pattern was detected for lung and colon carcinomas, Parkinson's disease, and renal failure. The results obtained from the NLTCS-M and SEER-M were in agreement (excluding an excess for circulatory diseases in the NLTCS-M). A sensitivity analysis proved the stability of the incidence rates evaluated. CONCLUSION: The developed computational approaches applied to the nationally representative Medicare-based data sets allow reconstruction of age patterns of disease incidence in the U.S. elderly population at the national level with unprecedented statistical accuracy and stability with respect to systematic biases.

https://www.ncbi.nlm.nih.gov/pubmed/22283485

1532-5415

https://hdl.handle.net/10161/14851

eng

Wiley

J Am Geriatr Soc

10.1111/j.1532-5415.2011.03786.x

Age Distribution

Age Factors

Aged

Aged, 80 and over

Female

Geriatrics

Humans

Incidence

Male

Medicare

United States

Age patterns of incidence of geriatric disease in the U.S. elderly population: Medicare-based analysis.

Journal article

Arbeev, Konstantin|0000-0002-4195-7832

https://www.ncbi.nlm.nih.gov/pubmed/22283485

323

327

2

Center for Population Health & Aging

Clinical Science Departments

Duke

Duke Cancer Institute

Duke Population Research Center

Duke Population Research Institute

Institutes and Centers

Institutes and Provost's Academic Units

Physics

Sanford School of Public Policy

School of Medicine

Social Science Research Institute

Staff

Surgery

Surgery, Surgical Sciences

Trinity College of Arts & Sciences

University Institutes and Centers

Published

60