Age patterns of incidence of geriatric disease in the U.S. elderly population: Medicare-based analysis.
Age patterns of incidence of geriatric disease in the U.S. elderly population: Medicare-based analysis.
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DOI:
10.1111/j.1532-5415.2011.03786.x
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发表时间:
2012-02
影响因子:
6.3
通讯作者:
Yashin AI
中科院分区:
文献类型:
--
作者:
Akushevich I;Kravchenko J;Ukraintseva S;Arbeev K;Yashin AI
To utilize the Medicare Files of Service Use (MFSU) to evaluate patterns in the incidence of aging-related diseases in the U.S. elderly population. Age-specific incidence rates of nineteen aging-related diseases were evaluated with the National Long Term Care Survey (NLTCS) and the Surveillance, Epidemiology, and End Results (SEER) Registry data both linked to MSUF (NLTCS-M and SEER-M, respectively), using a developed algorithm for individual date at onset evaluation. A random sample from the entire U.S. elderly population (Medicare beneficiaries) was used in NLTCS, and 26% of U.S. population is covered by the SEER Registry data. 34,077 individuals from NLTCS-M and 2,154,598 from SEER-M. Individual medical histories were reconstructed using information on diagnoses coded in MFSU, dates of medical services/procedures, and Medicare enrollment/disenrollment. The majority of diseases (e.g., prostate cancer, asthma, diabetes) had a monotonic decline (or decline following short period of increase) in incidence with age. A monotonic increase of 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 evaluated incidence rates. The developed computational approaches applied to the nationally representative Medicare-based datasets allows 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.
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影响因子:
5.1
作者:
Gatling, W;Guzder, RN;Mullee, MA
通讯作者:
Mullee, MA
DOI:
10.5402/2011/415790
发表时间:
2011-01-01
期刊:
ISRN oncology
影响因子:
--
作者:
Akushevich, Igor;Kravchenko, Julia;Yashin, Anatoliy
通讯作者:
Yashin, Anatoliy
DOI:
10.1073/pnas.111152298
发表时间:
2001-05-22
影响因子:
11.1
作者:
Manton, KG;Gu, XL
通讯作者:
Gu, XL
影响因子:
--
作者:
Akushevich, Igor;Kravchenko, Julia;Yashin, Anatoliy I.
通讯作者:
Yashin, Anatoliy I.
影响因子:
4.3
作者:
Yashin, Anatoli I.;Akushevich, Igor;Ukraintseva, Svetlana
通讯作者:
Ukraintseva, Svetlana